[{"path":"https://drostlab.github.io/myTAI/articles/Advanced.html","id":"overview","dir":"Articles","previous_headings":"","what":"Overview","title":"Advanced Phylotranscriptomics Analyses","text":"Introduction vignette users learned perform fundamental computations visualizations phylotranscriptomics analyses using myTAI package. Especially Introduction vignette demonstrated perform Phylostratigraphy Divergence Stratigraphy well construction PhyloExpressionSets DivergenceExpressionSets using MatchMap() function. Intermediate vignette users learned detailed analyses specialized techniques investigate observed phylotranscriptomics patterns (TAI, TDI, RE, etc.).","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Advanced.html","id":"investigating-age-or-divergence-category-specific-expression-level-distributions","dir":"Articles","previous_headings":"","what":"Investigating Age or Divergence Category Specific Expression Level Distributions","title":"Advanced Phylotranscriptomics Analyses","text":"Gene expression levels fundamental aspect phylotranscriptomics studies. detail, phylotranscriptomic measures aim quantify expression intensity genes deriving common age divergence categories detect stages evolutionary constraints. Hence, gene expression distribution age divergence categories well differences within stages categories allow us investigate age (PS) divergence (DS) category specific contribution corresponding transcriptome. purpose, PlotCategoryExpr() aims visualize expression level distribution phylostratum time point experiment barplot, dot plot, violin plot enabling users quantify age (PS) divergence (DS) category specific contribution corresponding transcriptome. way visualizing gene expression distribution age (PS) divergence (DS) category developmental stages experiments allows users detect specific age divergence categories contributing significant levels gene expression underlying biological process (transcriptome). resulting boxplot illustrates log expression levels phylostratum developmental stage. Additionally, Kruskal-Wallis Rank Sum Test well Benjamini & Hochberg p-value adjustment multiple comparisons performed (test.stat = TRUE) statistically quantify differences expression levels different age divergence categories. type analysis allows users detect stages experiments show high deviation age divergence category contributions overall transcriptome significant deviations age divergence categories, suggesting equal age divergence category contributions overall transcriptome. corresponding P-values printed console using following notation: ’*’ = P-Value ≤\\leq 0.05 ’**’ = P-Value ≤\\leq 0.005 ’***’ = P-Value ≤\\leq 0.0005 ‘n.s.’ = significant = P-Value > 0.05 case developmental stages show significant differences phylostratum specific gene expression. Please notice users need define legendName argument PS DS specify whether input ExpressionSet PhyloExpressionSet (legendName = 'PS') DivergenceExpressionSet (legendName = 'DS'). Alternatively, users can investigate differences gene expression stages experiments age divergence category specifying type = 'stage-centered'. , Kruskal-Wallis Rank Sum Test (Benjamini & Hochberg p-value adjustment) quantifies whether gene expression distribution single age divergence category significantly changes throughout development experiments. type analysis allows users detect specific age divergence categories significantly change expression levels throughout development experiments. case, users observe PS3,5,7-9,11 show significant differences gene expression developmental stages suggesting contribution overall transcriptome remains constant throughout development. Finally, users can choose following plot types visualize expression distributions: Argument: distr.type distr.type = \"boxplot\" specification allows users visualize expression distribution PS DS boxplot. distr.type = \"violin\" specification allows users visualize expression distribution PS DS violin plot. distr.type = \"dotplot\" specification allows users visualize expression distribution PS DS dot plot. Together, studies performed PlotCategoryExpr() allow users conclude genes originating specific PS DS contribute significantly overall transcriptome genes originating different PS DS categories. specialized analyses PlotMeans(), PlotRE(), PlotBarRE(), TAI(), TDI(), etc. allow study exact mean expression patterns age divergence categories. Users notice far examples shown specified log.expr = TRUE illustrating boxplots based log2 expression levels. way visualization allows better visual comparisons age divergence categories. However, specifying log.expr = FALSE absolute expression levels visualized corresponding boxplot. Alternatively, instead specifying log.expr = TRUE users can directly pass log2 transformed expression levels PlotCategoryExpr() via tf(PhyloExpressionSetExample,log2) (log.expr = FALSE): expression level transformation, e.g. sqrt.","code":"library(myTAI) data(PhyloExpressionSetExample) # category-centered visualization of PS specific expression level distributions (log-scale) PlotCategoryExpr(ExpressionSet = PhyloExpressionSetExample,                  legendName    = \"PS\",                  test.stat     = TRUE,                  type          = \"category-centered\",                  distr.type    = \"boxplot\",                  log.expr      = TRUE) Zygote Quadrant Globular Heart Torpedo Bent  Mature category-centered \"***\"  \"***\"    \"***\"    \"***\" \"***\"   \"***\" \"***\" library(myTAI) data(PhyloExpressionSetExample) # stage-centered visualization of PS specific expression level distributions (log-scale) PlotCategoryExpr(ExpressionSet = PhyloExpressionSetExample,                  legendName    = \"PS\",                  test.stat     = TRUE,                  type          = \"stage-centered\",                  distr.type    = \"boxplot\",                  log.expr      = TRUE) PS1   PS2   PS3    PS4 PS5    PS6 PS7    PS8    PS9    PS10  PS11   PS12  stage-centered \"***\" \"***\" \"n.s.\" \"*\" \"n.s.\" \"*\" \"n.s.\" \"n.s.\" \"n.s.\" \"***\" \"n.s.\" \"***\" data(PhyloExpressionSetExample) # category-centered visualization of PS specific expression level distributions (log-scale) PlotCategoryExpr(ExpressionSet = tf(PhyloExpressionSetExample, log2),                  legendName    = \"PS\",                  test.stat     = TRUE,                  type          = \"category-centered\",                  distr.type    = \"boxplot\",                  log.expr      = FALSE) Zygote Quadrant Globular Heart Torpedo Bent  Mature category-centered \"***\"  \"***\"    \"***\"    \"***\" \"***\"   \"***\" \"***\" data(PhyloExpressionSetExample) # category-centered visualization of PS specific expression level distributions (sqrt-scale) PlotCategoryExpr(ExpressionSet = tf(PhyloExpressionSetExample, sqrt),                  legendName    = \"PS\",                  test.stat     = TRUE,                  type          = \"category-centered\",                  distr.type    = \"boxplot\",                  log.expr      = FALSE) Zygote Quadrant Globular Heart Torpedo Bent  Mature category-centered \"***\"  \"***\"    \"***\"    \"***\" \"***\"   \"***\" \"***\""},{"path":"https://drostlab.github.io/myTAI/articles/Advanced.html","id":"gene-subset-age-or-divergence-category-specific-expression-level-distributions","dir":"Articles","previous_headings":"","what":"Gene Subset Age or Divergence Category Specific Expression Level Distributions","title":"Advanced Phylotranscriptomics Analyses","text":"cases, users wish visualize gene expression distributions subset genes contrast entire transcriptome. purpose, gene.set argument allows users specify gene ids subset genes shall matched input ExpressionSet expression level distributions shall visualized. analogously stage-centered: example, users interested enrichment PS DS values D. rerio brain genes (see Enrichment Vignette details) also visualize gene expression distributions throughout development PlotCategoryExpr() cases expression data available.","code":"library(myTAI) data(PhyloExpressionSetExample) # define an example gene subset (500 genes) which # can be found in the input ExpressionSet set.seed(234) example.gene.set <- PhyloExpressionSetExample[sample(1:25260,500) , 2] # visualize the gene expression distributions for these 500 genes (category-centered) PlotCategoryExpr(ExpressionSet = PhyloExpressionSetExample,                  legendName    = \"PS\",                  test.stat     = TRUE,                  type          = \"category-centered\",                  distr.type    = \"boxplot\",                  log.expr      = TRUE,                  gene.set      = example.gene.set) Zygote Quadrant Globular Heart Torpedo Bent Mature category-centered \"*\"    \"*\"      \"*\"      \"*\"   \"*\"     \"*\"  \"n.s.\" library(myTAI) data(PhyloExpressionSetExample) # define an example gene subset (500 genes) which # can be found in the input ExpressionSet set.seed(234) example.gene.set <- PhyloExpressionSetExample[sample(1:25260,500) , 2] # visualize the gene expression distributions for these 500 genes (stage-centered) PlotCategoryExpr(ExpressionSet = PhyloExpressionSetExample,                  legendName    = \"PS\",                  test.stat     = TRUE,                  type          = \"stage-centered\",                  distr.type    = \"boxplot\",                  log.expr      = TRUE,                  gene.set      = example.gene.set) PS1    PS2    PS3    PS4    PS5    PS6    PS7    PS8    PS9    PS10   PS11   stage-centered \"n.s.\" \"n.s.\" \"n.s.\" \"n.s.\" \"n.s.\" \"n.s.\" \"n.s.\" \"n.s.\" \"n.s.\" \"n.s.\" \"n.s.\"                PS12   stage-centered \"n.s.\""},{"path":"https://drostlab.github.io/myTAI/articles/Advanced.html","id":"computing-the-significant-differences-between-gene-expression-distributions-of-ps-or-ds-groups","dir":"Articles","previous_headings":"","what":"Computing the significant differences between gene expression distributions of PS or DS groups","title":"Advanced Phylotranscriptomics Analyses","text":"proposed Quint et al., 2012 cases users wish compare difference group specific expression levels using statistical test. purpose, PlotGroupDiffs() function performs test quantify statistical significance global expression level distributions groups PS DS. therefore allows users investigate significant groups PS DS significantly differ gene expression level distribution within specific developmental stages experiments. Analogous PlotRE() PlotMeans() function (see Introduction details), users need pass Groups PlotGroupDiffs() specifying groups shall compared. cases plot shall drawn resulting p-value shall returned users can specify plot.type = NULL argument receive p-values returned underlying test statistic. Optionally, users can also visualize difference expression level distributions groups PS/DS developmental stage specifying plot.type = \"boxplot\" argument. , use log2 transformed expression levels better visualization (tf(PhyloExpressionSetExample,log2)). Internally, PlotGroupDiffs() function performs Wilcoxon Rank Sum test quantify statistical significance PS/DS group expression. quantification allows users detect developmental stages significant expression level differences PS/DS groups. example chose genes originated evolution embryogenesis evolved plants (Group1 = PS1-3) versus genes originated evolution embryogenesis evolved plants (Group2 = PS4-12). result, observe indeed difference total gene expression groups significant throughout embryogenesis. terms P-value quantification observe P-value minimized towards phylotypic period. Hence, expression level difference studied PS groups maximized phylotypic period.","code":"library(myTAI) data(PhyloExpressionSetExample)  PlotGroupDiffs(ExpressionSet = PhyloExpressionSetExample,                Groups        = list(group_1 = 1:3,group_2 = 4:12),                legendName    = \"PS\",                plot.type     = \"p-vals\",                type          = \"b\",                lwd           = 6,                xlab          = \"Ontogeny\") library(myTAI) data(PhyloExpressionSetExample) # only receive the p-values without the corresponding plot PlotGroupDiffs(ExpressionSet = PhyloExpressionSetExample,                Groups        = list(group_1 = 1:3,group_2 = 4:12),                legendName    = \"PS\",                plot.type     = NULL) library(myTAI) data(PhyloExpressionSetExample) # visualize difference as boxplot PlotGroupDiffs(ExpressionSet = tf(PhyloExpressionSetExample,log2),                Groups        = list(group_1 = 1:3,group_2 = 4:12),                legendName    = \"PS\",                plot.type     = \"boxplot\")"},{"path":"https://drostlab.github.io/myTAI/articles/Enrichment.html","id":"performing-phylostratum-and-divergence-stratum-enrichment-analyses","dir":"Articles","previous_headings":"","what":"Performing Phylostratum and Divergence Stratum Enrichment Analyses","title":"Enrichment Analyses","text":"Phylostratum Divergence Stratum enrichment analyses performed several studies correlate organ metabolic pathway evolution origin organ pathway specific genes (Sestak Domazet-Loso, 2015). detail, Phylostratum Divergence Stratum enrichment analyses can performed analogously Gene Ontology Kegg enrichment analyses study enrichment evolutionary age sequence divergence set selected genes entire genome/transcriptome. case specific age categories significantly - underrepresented selected gene set, assumptions potential correlations evolutionary origin particular organ metabolic pathway can implied. vignette use data set published Sestak Domazet-Loso, 2015 demonstrate perform enrichment analyses using myTAI.","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Enrichment.html","id":"enrichment-analyses-using-plotenrichment","dir":"Articles","previous_headings":"","what":"Enrichment Analyses using PlotEnrichment()","title":"Enrichment Analyses","text":"PlotEnrichment() function implemented myTAI computes visualizes significance enriched (- underrepresented) Phylostrata Divergence Strata within input set process/tissue specific genes. detail function takes Phylostratum Divergence Stratum distribution genes stored input ExpressionSet background set Phylostratum Divergence Stratum distribution specific gene set performs Fisher’s exact test Phylostratum Divergence Stratum quantify statistical significance - -represented Phylostrata Divergence Strata within set selected genes. words, frequency distribution Phylostrata Divergence Strata complete sample compared frequency distribution Phylostrata Divergence Strata set selected genes - -representation visualized log-odds (odds), log-odd zero means frequency distributions equal (see also Sestak Domazet-Loso, 2015).","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Enrichment.html","id":"example-data-set-retrieval","dir":"Articles","previous_headings":"Enrichment Analyses using PlotEnrichment()","what":"Example Data Set Retrieval","title":"Enrichment Analyses","text":"using PlotEnrichment() function, need download example data set Sestak Domazet-Loso, 2015. Download Phylostratigraphic Map D. rerio: Read *.xlsx file storing Phylostratigraphic Map D. rerio format use myTAI: Now, Drerio.PhyloMap stores Phylostratigraphic Map D. rerio used background set perform enrichment analyses PlotEnrichment().","code":"# download the Phylostratigraphic Map of Danio rerio # from Sestak and Domazet-Loso, 2015 download.file( url      = \"http://mbe.oxfordjournals.org/content/suppl/2014/11/17/msu319.DC1/TableS3-2.xlsx\",                 destfile = \"MBE_2015a_Drerio_PhyloMap.xlsx\" ) # install the readxl package install.packages(\"readxl\")  # load package readxl library(readxl)  # read the excel file DrerioPhyloMap.MBEa <- read_excel(\"MBE_2015a_Drerio_PhyloMap.xlsx\", sheet = 1, skip = 4)  # format Phylostratigraphic Map for use with myTAI Drerio.PhyloMap <- DrerioPhyloMap.MBEa[ , 1:2]  # have a look at the final format head(Drerio.PhyloMap) Phylostrata            ZFIN_ID 1           1 ZDB-GENE-000208-13 2           1 ZDB-GENE-000208-17 3           1 ZDB-GENE-000208-18 4           1 ZDB-GENE-000208-23 5           1  ZDB-GENE-000209-3 6           1  ZDB-GENE-000209-4"},{"path":"https://drostlab.github.io/myTAI/articles/Enrichment.html","id":"enrichment-analyses","dir":"Articles","previous_headings":"Enrichment Analyses using PlotEnrichment()","what":"Enrichment Analyses","title":"Enrichment Analyses","text":"Now, PlotEnrichment() function visualizes - underrepresented Phylostrata brain specific genes compared total number genes stored Phylostratigraphic Map D. rerio. , first argument either standard ExpressionSet object (case use..map = FALSE: default) Phylostratigraphic Map Divergence Map (case use..map = TRUE; see Introduction details). second argument test.set specifies gene ids also stored corresponding ExpressionSet Phylostratigraphic Map/ Divergence Map enrichment shall quantified visualized. visualize odds log-odds - underrepresented genes within test.set following procedure performed: NijN_{ij} denotes number genes group j deriving PS ii, =1,..,ni = 1, .. , n j=1j = 1 denotes background set j=2j = 2 denotes test.set Ni.N_{.} denotes total number genes within PS ii N.jN_{.j} denotes total number genes within group jj N..N_{..} total number genes within groups jj PS ii fijf_{ij} = NijN_{ij} / N..N_{..} gijg_{ij} = fijf_{ij} / f.jf_{.j} denote relative frequencies groups fi.f_{.} denotes group sum fijf_{ij} result fold-change value (odds; measure = \"foldchange\") denoted C2=gi2/fi.C_2 = g_{i2} / f_{.} visualized zero log fold-change value (log-odds; measure = \"log-foldchange\"), log2log_2(C) = log2log_2(gi2g_{i2}) - log2log_2(fi.f_{.}) visualized symmetrically zero PlotEnrichment(). Analogously, C1=gi1/fi.C_1 = g_{i1} / f_{.} visualized function. Internally, PlotEnrichment() performs Fisher’s exact test Phylostratum Divergence Stratum separately, quantify significance - -representation corresponding Phylostrata Divergence Strata within test.set compared entire ExpressionSet. PlotEnrichment() visualizes significantly enriched (- underrepresented) Phylostrata Divergence Strata asterisks ’*’. Notation: ’*’ = P-Value ≤\\leq 0.05 ’**’ = P-Value ≤\\leq 0.005 ’***’ = P-Value ≤\\leq 0.0005 Users notice performing PlotEnrichment() function, p-values enrichment matrix (storing C1C_1 C2C_2) returned. case users interested p-values Fisher test enrichment matrix without illustrating bar plot, can specify plot.bars = FALSE argument retrieve numeric results.","code":"# read expression data (organ specific genes) from Sestak and Domazet-Loso, 2015 Drerio.OrganSpecificExpression <- read_excel(\"MBE_2015a_Drerio_PhyloMap.xlsx\", sheet = 2, skip = 3)  # select only brain specific genes Drerio.Brain.Genes <- unique(na.omit(Drerio.OrganSpecificExpression[ , \"brain\"]))  # visualize enriched Phylostrata of genes annotated as brain specific PlotEnrichment(Drerio.PhyloMap,                test.set     = Drerio.Brain.Genes,                measure      = \"log-foldchange\",                use.only.map = TRUE,                legendName   = \"PS\") PlotEnrichment(Drerio.PhyloMap,                test.set     = Drerio.Brain.Genes,                measure      = \"log-foldchange\",                use.only.map = TRUE,                legendName   = \"PS\") $p.values          PS1          PS2          PS3          PS4          PS5          PS6  8.283490e-01 8.362880e-05 6.778981e-02 1.373816e-02 7.946309e-13 6.017041e-01           PS7          PS8          PS9         PS10         PS11         PS12  2.185021e-03 2.281194e-03 8.943147e-01 5.699612e-01 4.717058e-02 9.367759e-01          PS13         PS14  3.929949e-03 1.593834e-05   $enrichment.matrix            BG_Set     Test_Set PS1  -0.001132832  0.007668216 PS2   0.023733936 -0.172380714 PS3  -0.040879607  0.250587496 PS4  -0.048920465  0.294399729 PS5  -0.114888949  0.603817643 PS6   0.008678915 -0.060350168 PS7  -0.062948352  0.367240944 PS8   0.115630474 -1.206210187 PS9  -0.007353969  0.048964218 PS10 -0.031971192  0.200141519 PS11  0.039742253 -0.303363314 PS12 -0.002418079  0.016311853 PS13  0.101449988 -0.984621732 PS14  0.098211044 -0.938724783 # specify plot.bars = FALSE to retrieve only numeric results EnrichmentResult <- PlotEnrichment(Drerio.PhyloMap,                                    test.set     = Drerio.Brain.Genes,                                    measure      = \"log-foldchange\",                                    use.only.map = TRUE,                                    legendName   = \"PS\",                                    plot.bars    = FALSE)  # access p-values quantifying the enrichment for each Phylostratum EnrichmentResult$p.values PS1          PS2          PS3          PS4          PS5          PS6  8.283490e-01 8.362880e-05 6.778981e-02 1.373816e-02 7.946309e-13 6.017041e-01           PS7          PS8          PS9         PS10         PS11         PS12  2.185021e-03 2.281194e-03 8.943147e-01 5.699612e-01 4.717058e-02 9.367759e-01          PS13         PS14  3.929949e-03 1.593834e-05 # access enrichment matrix storing C_1 and C_2 EnrichmentResult$enrichment.matrix BG_Set     Test_Set PS1  -0.001132832  0.007668216 PS2   0.023733936 -0.172380714 PS3  -0.040879607  0.250587496 PS4  -0.048920465  0.294399729 PS5  -0.114888949  0.603817643 PS6   0.008678915 -0.060350168 PS7  -0.062948352  0.367240944 PS8   0.115630474 -1.206210187 PS9  -0.007353969  0.048964218 PS10 -0.031971192  0.200141519 PS11  0.039742253 -0.303363314 PS12 -0.002418079  0.016311853 PS13  0.101449988 -0.984621732 PS14  0.098211044 -0.938724783"},{"path":"https://drostlab.github.io/myTAI/articles/Enrichment.html","id":"defining-the-background-set","dir":"Articles","previous_headings":"Enrichment Analyses using PlotEnrichment()","what":"Defining the Background Set","title":"Enrichment Analyses","text":"Fisher test performed inside PlotEnrichment() assumes genes stored input ExpressionSet Phylostratigraphic Map/Divergence Map used define background set constructing test statistic. However, since cases test.set subset input ExpressionSet Phylostratigraphic Map/Divergence Map one also specify complete.bg argument remove test.set genes background set performing Fisher test visualization. following two examples allow users compare results retaining genes background set compared option remove test.set genes background set. Users notice although p-values change, qualitative result change. border line cases however, results might influence whether Phylostrata Divergence Strata denoted significantly enriched . always aware interpretation retaining removing test.set background set, options valid advantages disadvantages depend valid interpretation.","code":"# complete.bg = TRUE (default) -> retain test.set genes in background set PlotEnrichment(Drerio.PhyloMap,                test.set     = Drerio.Brain.Genes,                measure      = \"log-foldchange\",                complete.bg  = TRUE,                use.only.map = TRUE,                legendName   = \"PS\") # complete.bg = FALSE -> remove test.set genes from background set PlotEnrichment(Drerio.PhyloMap,                test.set     = Drerio.Brain.Genes,                measure      = \"log-foldchange\",                complete.bg  = FALSE,                use.only.map = TRUE,                legendName   = \"PS\")"},{"path":"https://drostlab.github.io/myTAI/articles/Enrichment.html","id":"interpretation-of-enrichment-results","dir":"Articles","previous_headings":"","what":"Interpretation of Enrichment Results","title":"Enrichment Analyses","text":"D. rerio brain genes example can see PS4, PS5, PS7 significantly -represented set brain specific genes. , retrieve D. rerio specific taxonomy represented PS1-14 using myTAI::taxonomy() function (see Introduction Taxonomy details). Sestak Domazet-Loso, 2015 collapsed 28 taxonomic nodes 14 taxonomic nodes (see Figure 2 Sestak Domazet-Loso, 2015) labelled phylostrata 1 phylostrata 14, PS1 represents cellular organisms PS14 represents D. rerio specific genes. Based phylostratum categorization Sestak Domazet-Loso, 2015, PS4 represents Holozoa (= Metazoa + allies), PS5 represents Metazoa, PS7 represents Bilateria. Now, -representation results brain specific genes returned PlotEnrichment() provide evidence, brain specific genes might indeed originated emergence nervous system metazoan-eumetazoan transition leading interpretation vertebrate brain step wise adaptive history extant organization already present chordate ancestor argued Sestak Domazet-Loso, 2015. example shall illustrate PlotEnrichment() function can used trace evolutionary origin tissue process specific genes investigating age enrichment. case users ExpressionSet storing Phylostratigraphic Map D. rerio well expression set, can furthermore use PlotGeneSet() function implemented myTAI visualize expression levels brain specific genes shown significantly enriched Metazoa specific phylostrata. Example: DrerioPhyloExpressionSet denotes hypothetical ExpressionSet D. rerio development. Additionally, SelectGeneSet() function allows users obtain ExpresisonSet subset selected genes (gene.set) subsequent analyses.","code":"PlotEnrichment(Drerio.PhyloMap,                test.set     = Drerio.Brain.Genes,                measure      = \"foldchange\",                complete.bg  = TRUE,                use.only.map = TRUE,                legendName   = \"PS\") # retrieve the taxonomy of D. rerio myTAI::taxonomy(organism = \"Danio rerio\") id         name    rank 1   cellular organisms      no rank  131567 2            Eukaryota superkingdom    2759 3         Opisthokonta      no rank   33154 4              Metazoa      kingdom   33208 5            Eumetazoa      no rank    6072 6            Bilateria      no rank   33213 7        Deuterostomia      no rank   33511 8             Chordata       phylum    7711 9             Craniata    subphylum   89593 10          Vertebrata      no rank    7742 11       Gnathostomata      no rank    7776 12          Teleostomi      no rank  117570 13        Euteleostomi      no rank  117571 14      Actinopterygii   superclass    7898 15         Actinopteri        class  186623 16         Neopterygii     subclass   41665 17           Teleostei   infraclass   32443 18 Osteoglossocephalai      no rank 1489341 19       Clupeocephala      no rank  186625 20           Otomorpha      no rank  186634 21        Ostariophysi      no rank   32519 22            Otophysa      no rank  186626 23       Cypriniphysae   superorder  186627 24       Cypriniformes        order    7952 25         Cyprinoidea  superfamily   30727 26          Cyprinidae       family    7953 27               Danio        genus    7954 28         Danio rerio      species    7955 # the best parameter setting to visualize this plot: # png(\"DrerioBrainSpecificGeneExpression.png\",700,400) PlotGeneSet(ExpressionSet = DrerioPhyloExpressionSet,             gene.set      = Drerio.Brain.Genes,             plot.legend   = FALSE,             type          = \"l\",             lty           = 1,             lwd           = 4,             xlab          = \"Ontogeny\",             ylab          = \"Expression Level\")  # dev.off() # select the ExpressionSet subset of Brain specific genes Brain.PhyloExpressionSet <- SelectGeneSet( ExpressionSet = DrerioPhyloExpressionSet,                                            gene.set      = Drerio.Brain.Genes )          head(Brain.PhyloExpressionSet)"},{"path":"https://drostlab.github.io/myTAI/articles/Enrichment.html","id":"adjust-p-values-for-multiple-comparisons","dir":"Articles","previous_headings":"Interpretation of Enrichment Results","what":"Adjust P-values for Multiple Comparisons","title":"Enrichment Analyses","text":"case large number Phylostrata Divergence Strata included input ExpressionSet, p-values returned PlotEnrichment() adjusted multiple comparisons. purpose PlotEnrichment() includes argument p.adjust.method. , methods implemented ?p.adjust can specified: Please consult reviews Gelman et al., 2008, Slides) decide whether apply p-value adjustment dataset.","code":"# adjust p-values for multiple comparisons with Benjamini & Hochberg (1995) PlotEnrichment(Drerio.PhyloMap,                test.set        = Drerio.Brain.Genes,                measure         = \"log-foldchange\",                complete.bg     = FALSE,                use.only.map    = TRUE,                legendName      = \"PS\",                p.adjust.method = \"BH\")"},{"path":"https://drostlab.github.io/myTAI/articles/Enrichment.html","id":"references","dir":"Articles","previous_headings":"","what":"References","title":"Enrichment Analyses","text":"Sestak MS Domazet-Loso T. Phylostratigraphic Profiles Zebrafish Uncover Chordate Origins Vertebrate Brain. Mol. Biol. Evol. (2015) 32 (2): 299-312.","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Gene Expression Analysis with `myTAI`","text":"Introduction vignette introduced discussed phylotranscriptomics can applied capture evolutionary signals (developmental) transcriptomes. Furthermore, Enrichment Analyses vignette provide use case correlate specific groups sets genes predicted evolutionary origin. , aim combine previously introduced techniques classic gene expression analyses detect possible functional causes observed transcriptome conservation. words, phylotranscriptomics allows us detect stages periods evolutionary conservation able predict evolutionary origin process trait specific genes based enrichment analyses. combining evolutionary enrichment analyses functional annotation process trait specific genes (see Functional Annotation details) detection evolutionary signals can correlated functional processes. , performing gene expression analyses corresponding process trait specific genes allows users detect potential causes stage/period specific evolutionary transcriptome conservation. following sections introduce main gene expression data analysis techniques implemented myTAI: Detection Differentially Expressed Genes (DEGs) Fold-Change Welch t-test Wilcoxon Rank Sum Test (Mann-Whitney U test) Negative Binomial (Exact Tests) Collapsing Replicate Samples Filter Expressed Genes Compute Statistical Significance Replicate Combination","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"detection-of-differenentially-expressed-genes-degs","dir":"Articles","previous_headings":"","what":"Detection of Differenentially Expressed Genes (DEGs)","title":"Gene Expression Analysis with `myTAI`","text":"variety methods published detect differentially expressed genes. methods based non-statistical quantification expression differences (e.g. fold-change log-fold-change), methods based statistical tests quantify significance differences gene expression samples. statistical methods can furthermore divided two methodological categories: parametric tests non-parametric tests. DiffGenes() function available myTAI implements popular useful methods detect differentially expressed genes. literature, different methods introduced discussed microarray technologies versus RNA-Seq technologies. section introduce methods implemented DiffGenes() using small examples furthermore, discuss published advantages disadvantages method mRNA quantification technology. Note using DiffGenes() assumed input dataset normalized passing DiffGenes(). RNA-Seq data DiffGenes() assumes libraries normalized size, .e., expected column sum null hypothesis (lib.size argument DiffGenes() specified accordingly).","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"fold-changes","dir":"Articles","previous_headings":"","what":"Fold-Changes","title":"Gene Expression Analysis with `myTAI`","text":"fold change gene expression simply ratio gene expression level one sample second sample: ei1ei2\\frac{e_{i1}}{e_{i2}}, ei1e_{i1} expression level gene ii sample one ei2e_{i2} expression level gene ii sample two. case replicate expression levels present sample ratio means corresponding replicates computed: e‾i1e‾i2\\frac{\\bar{e}_{i1}}{\\bar{e}_{i2}}, e‾i1\\bar{e}_{i1} mean replicate expression levels gene ii sample one e‾i2\\bar{e}_{i2} mean replicate expression levels gene ii sample two. Advantages: Given small number replicate values statistical evaluation differentially expressed genes might biased (depending statistical test chosen) underlying sample distributions fulfilled small number replicate values sufficient enough perform non-parametric tests. , fold-changes provide simple way quantify gene expression differences samples nn-fold enrichment. opinion, although process choosing threshold defining genes differentially expressed based fold-change values purely subjective relies common sense, cases procedure suitable defining differentially expressed genes based p-values obtained test statistic violated test assumptions. Disadvantages: used appropriately, statistical tests systematically quantify significance observed gene--gene differences expression, furthermore, accounts variance replicate expression levels comparing mean difference replicate expression levels samples. Hence, gene specific variance replicates also quantified p-value returned sufficient test statistic quantified simple fold-change measure.","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"example-fold-change","dir":"Articles","previous_headings":"Fold-Changes","what":"Example: Fold-Change","title":"Gene Expression Analysis with `myTAI`","text":"following example assume PhyloExpressionSetExample[1:5,1:8] stores 5 genes 3 developmental stages 2 replicate expression levels per stage. resulting output shows combinations fold-changes samples (developmental stages). , S1->S2 denotes fold-change computed expression levels stage S1 stage S2.","code":"data(\"PhyloExpressionSetExample\")  # Detection of DEGs using the fold-change measure DEGs <- DiffGenes(ExpressionSet = PhyloExpressionSetExample[1:5,1:8],                   nrep          = 2,                   method        = \"foldchange\",                   stage.names   = c(\"S1\",\"S2\",\"S3\"))   head(DEGs) Phylostratum      GeneID    S1->S2    S1->S3    S2->S1    S2->S3    S3->S1    S3->S2 1            1 at1g01040.2 1.6713881 2.0806706 0.5983051 1.2448758 0.4806143 0.8032930 2            1 at1g01050.1 1.0273222 1.2709185 0.9734045 1.2371177 0.7868325 0.8083305 3            1 at1g01070.1 1.3087379 1.4044799 0.7640949 1.0731560 0.7120073 0.9318310 4            1 at1g01080.2 0.7779572 0.7286769 1.2854177 0.9366542 1.3723503 1.0676299 5            1 at1g01090.1 0.3803866 0.2288961 2.6289042 0.6017460 4.3687939 1.6618307"},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"example-log-fold-change","dir":"Articles","previous_headings":"Fold-Changes","what":"Example: Log-Fold-Change","title":"Gene Expression Analysis with `myTAI`","text":"selecting method = \"log-foldchange\" assumed input ExpressionSet stores log2 expression levels. , transform absolute expression levels stored PhyloExpressionSetExample log2 expression levels using tf() function log-fold-changes computed. resulting output stores combinations log fold-changes samples (developmental stages).","code":"data(\"PhyloExpressionSetExample\")  # Detection of DEGs using the logfold-change measure log.DEGs <- DiffGenes(ExpressionSet = tf(PhyloExpressionSetExample[1:5,1:8],log2),                       nrep          = 2,                       method        = \"log-foldchange\",                       stage.names   = c(\"S1\",\"S2\",\"S3\"))   head(log.DEGs) Phylostratum      GeneID      S1->S2     S1->S3      S2->S1      S2->S3     S3->S1      S3->S2 1            1 at1g01040.2  0.74104679  1.0570486 -0.74104679  0.31600182 -1.0570486 -0.31600182 2            1 at1g01050.1  0.03888868  0.3458715 -0.03888868  0.30698280 -0.3458715 -0.30698280 3            1 at1g01070.1  0.38817621  0.4900360 -0.38817621  0.10185975 -0.4900360 -0.10185975 4            1 at1g01080.2 -0.36223724 -0.4566488  0.36223724 -0.09441158  0.4566488  0.09441158 5            1 at1g01090.1 -1.39446159 -2.1272350  1.39446159 -0.73277345  2.1272350  0.73277345"},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"welch-t-test","dir":"Articles","previous_headings":"","what":"Welch t-test","title":"Gene Expression Analysis with `myTAI`","text":"Welch t-test parametric test statistically quantify difference sample means cases assumption homogeneity variance (equal variances two populations) violated (Boslaugh, 2013). Welch t-test sufficient parameter test small sample sizes thus, used detect differentially expressed genes based p-values returned test statistic (Hahne et al., 2008). detail, test statistic computed follows: t=x‾1−x‾2s12n1+s22n2t = \\frac{\\bar{x}_1 - \\bar{x}_2}{\\sqrt{\\frac{s_1^2}{n_1} + \\frac{s_2^2}{n_2}}} x‾1\\bar{x}_1 x‾2\\bar{x}_2 sample means, s12s_1^2 s22s_2^2 sample variances, n1n_1 n2n_2 sample sizes. degrees freedom Welch’s t-test computed follows: df=(s12n1+s22n2)2s14n12(n1−1)+s24n22(n2−1)df = \\frac{\\big(\\frac{s_1^2}{n_1} + \\frac{s_2^2}{n_2}\\big)^2}{\\frac{s_1^4}{n_1^2 (n_1 - 1)} + \\frac{s_2^4}{n_2^2 (n_2 - 1)}} perform sufficient Welch t-test following assumptions input data need fulfilled test whether two samples come populations equal means: Assumptions input data independent samples continuous data (approximate) normality Nevertheless, although cases log2 expression levels used perform Welch t-test assuming expression levels log-normal distributed approximates normal distribution infinity, cases small number replicates sufficient enough fulfill (approximate) normality assumption Welch t-test. Due fact, non-parametric, sampling based, generalized linear model based methods proposed quantify p-values differential expression. Nevertheless, DiffGenes() function implements Welch t-test detection differentially expressed genes, allowing users compare results recent DEG detection methods/methodologies also implemented DiffGenes(). DEG detection based statistical quantification Parametric test resulting strong test statistic Can handle small sample sizes Test assumptions must fulfilled return sufficient p-values Can hardly assure normality sample sizes n=3,4,5,..n = 3,4,5,.. (replicates) Pairwise comparisons different stages experiments","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"example-welch-t-test","dir":"Articles","previous_headings":"Welch t-test","what":"Example: Welch t-test","title":"Gene Expression Analysis with `myTAI`","text":"Performing Welch t-test DiffGenes() can done specifying method = \"t.test\". Internally DiffGenes() performs two sided Welch t-test. means Welch t-test quantifies whether gene significantly differentially expressed, direction enrichment (-expressed -expressed). PhyloExpressionSetExample use following example stores absolute expression levels. case ExpressionSet also stores absolute expression levels (likely due ExpressionSet standard Phylotranscriptomics analyses), can use tf() function implemented myTAI transform absolute expression levels log2 expression levels performing DiffGenes() Welch t-test, e.g. tf(PhyloExpressionSetExample[1:5,1:8],log2). general, using log2 transformed expression levels input ExpressionSet DiffGenes() allows us (least) assume samples (replicate expression levels) used perform Welch t-test log-normal distributed therefore, somewhat approximate normal distributed. Please notice however, RNA-Seq data can include count values 0. transforming absolute counts log2 counts infinity values log2(0) = -Inf produced therefore, p-value computations possible. avoid case either remove RNA-Seq count values 0 input dataset using Expressed() function (see section Filter Expressed Genes), e.g. pass tf(Expressed(PhyloExpressionSetExample[1:5,1:8], cut.= 1),log2) ExpressionSet argument DiffGenes() shift count values constant value, e.g. pass tf(PhyloExpressionSetExample[1:5,1:8], function(x) log2(x + 1)) ExpressionSet argument DiffGenes(). Internally, DiffGenes() also check 0 values input data automatically shift expression levels +1 case 0 values included. resulting data.frame stores p-values stage-wise comparisons gene. adjust p-values multiple testing stage-wise comparisons can specify p.adjust.method argument one p-value adjustment methods implemented DiffGenes(). detail, correcting multiple testing allows appropriately choose selection cut-offs p-values fulfilling differential expression criteria. Hahne et al., 2008 (p. 87) give nice example correcting multiple testing determine appropriate selection cut-offs. Please consult documentation ?p.adjust see p-value adjustment methods implemented DiffGenes(). Please also consult reviews Gelman et al., 2008, Slides) decide whether apply p-value adjustment dataset. resulting p-value adjusted data.frame can used filter differentially expressed genes. , specifying arguments: comparison, alpha, filter.method DiffGenes() allows users obtain significant differentially expressed genes. example, 1 10 genes fulfills p-value criteria (alpha = 0.05) least one stage comparison.","code":"data(\"PhyloExpressionSetExample\")  # Detection of DEGs using the p-value returned by a Welch t-test ttest.DEGs <- DiffGenes(ExpressionSet = tf(PhyloExpressionSetExample[1:5,1:8],log2),                         nrep          = 2,                         method        = \"t.test\",                         stage.names   = c(\"S1\",\"S2\",\"S3\"))  # look at the results ttest.DEGs Phylostratum      GeneID     S1<->S2    S1<->S3    S2<->S3 1            1 at1g01040.2 0.027832572 0.04020203 0.13481563 2            1 at1g01050.1 0.852379466 0.31471871 0.36326955 3            1 at1g01070.1 0.003200692 0.00113536 0.02236621 4            1 at1g01080.2 0.086426813 0.03092924 0.45999438 5            1 at1g01090.1 0.090387087 0.04638872 0.04978092 data(\"PhyloExpressionSetExample\")  # Detection of DEGs using the p-value returned by a Welch t-test # and furthermore, adjust p-values for multiple comparison # using the Benjamini & Hochberg (1995) method: method = \"BH\" ttest.DEGs.p_adjust <- DiffGenes(ExpressionSet   = tf(PhyloExpressionSetExample[1:5,1:8],log2),                                  nrep            = 2,                                  method          = \"t.test\",                                  p.adjust.method = \"BH\",                                  stage.names     = c(\"S1\",\"S2\",\"S3\"))   ttest.DEGs.p_adjust Phylostratum      GeneID    S1<->S2   S1<->S3   S2<->S3 1            1 at1g01040.2 0.06958143 0.0579859 0.2246927 2            1 at1g01050.1 0.85237947 0.3147187 0.4540869 3            1 at1g01070.1 0.01600346 0.0056768 0.1118311 4            1 at1g01080.2 0.11298386 0.0579859 0.4599944 5            1 at1g01090.1 0.11298386 0.0579859 0.1244523 # Detection of DEGs using the p-value returned by a Welch t-test # and furthermore, adjust p-values for multiple comparison # using the Benjamini & Hochberg (1995) method: method = \"BH\" # and filter for significantly differentially expressed genes (alpha = 0.05)  ttest.DEGs.p_adjust.filtered <- DiffGenes(ExpressionSet   = tf(PhyloExpressionSetExample[1:10 ,1:8],log2),                                           nrep            = 2,                                           method          = \"t.test\",                                           p.adjust.method = \"BH\",                                           stage.names     = c(\"S1\",\"S2\",\"S3\"),                                           comparison      = \"above\",                                           alpha           = 0.05,                                           filter.method   = \"n-set\",                                           n               = 1)  # look at the genes fulfilling the filter criteria  ttest.DEGs.p_adjust.filtered Phylostratum      GeneID    S1<->S2   S1<->S3   S2<->S3 3            1 at1g01070.1 0.03200692 0.0113536 0.2192432"},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"rank-top-p-values","dir":"Articles","previous_headings":"Welch t-test > Example: Welch t-test","what":"Rank top p-values","title":"Gene Expression Analysis with `myTAI`","text":"Finally, users can rank genes increasing p-value order stage comparison typing: line ttest.DEGs.p_adjust[order(ttest.DEGs.p_adjust[ , \"S1<->S2\"], decreasing = FALSE) , 1:3] sort p-values stage comparison \"S1<->S2\" increasing order.","code":"ttest.DEGs.p_adjust <- DiffGenes(ExpressionSet   = tf(PhyloExpressionSetExample[1:500,1:8],log2),                                  nrep            = 2,                                  method          = \"t.test\",                                  p.adjust.method = \"BH\",                                  stage.names     = c(\"S1\",\"S2\",\"S3\"))   head(ttest.DEGs.p_adjust[order(ttest.DEGs.p_adjust[ , \"S1<->S2\"], decreasing = FALSE) , 1:3]) Phylostratum      GeneID  S1<->S2 54             1 at1g02400.1 0.151388 119            1 at1g03870.1 0.151388 137            1 at1g04380.1 0.151388 289            1 at1g08110.4 0.151388 383            1 at1g10360.1 0.151388 413            1 at1g11040.1 0.151388"},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"wilcoxon-mann-whitney-test-mann-whitney-u-test","dir":"Articles","previous_headings":"","what":"Wilcoxon-Mann-Whitney test (Mann-Whitney U test)","title":"Gene Expression Analysis with `myTAI`","text":"Wilcoxon-Mann-Whitney test nonparametric test quantify shift empirical distribution parameters. Nonparametric tests useful sample populations meet test assumptions parametric tests. , users can adjust p-values specifying p.adjust.method argument.","code":"data(\"PhyloExpressionSetExample\")  # Detection of DEGs using the p-value returned by a Wilcoxon-Mann-Whitney test Wilcox.DEGs <- DiffGenes(ExpressionSet = PhyloExpressionSetExample[1:5,1:8],                         nrep          = 2,                         method        = \"wilcox.test\",                         stage.names   = c(\"S1\",\"S2\",\"S3\"))  # look at the results Wilcox.DEGs Phylostratum      GeneID   S1<->S2   S1<->S3   S2<->S3 1            1 at1g01040.2 0.3333333 0.3333333 0.3333333 2            1 at1g01050.1 1.0000000 0.3333333 0.3333333 3            1 at1g01070.1 0.3333333 0.3333333 0.3333333 4            1 at1g01080.2 0.3333333 0.3333333 0.6666667 5            1 at1g01090.1 0.3333333 0.3333333 0.3333333 data(\"PhyloExpressionSetExample\")  # Detection of DEGs using the p-value returned by a Wilcoxon-Mann-Whitney test # and furthermore, adjust p-values for multiple comparison # using the Benjamini & Hochberg (1995) method: method = \"BH\" # and filter for significantly differentially expressed genes (alpha = 0.05) Wilcox.DEGs.adj <- DiffGenes(ExpressionSet  = PhyloExpressionSetExample[1:5,1:8],                             nrep            = 2,                             method          = \"wilcox.test\",                             stage.names     = c(\"S1\",\"S2\",\"S3\"),                             p.adjust.method = \"BH\")  # look at the results Wilcox.DEGs.adj Phylostratum      GeneID   S1<->S2   S1<->S3   S2<->S3 1            1 at1g01040.2 0.4166667 0.3333333 0.4166667 2            1 at1g01050.1 1.0000000 0.3333333 0.4166667 3            1 at1g01070.1 0.4166667 0.3333333 0.4166667 4            1 at1g01080.2 0.4166667 0.3333333 0.6666667 5            1 at1g01090.1 0.4166667 0.3333333 0.4166667"},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"negative-binomial-exact-tests","dir":"Articles","previous_headings":"","what":"Negative Binomial (Exact Tests)","title":"Gene Expression Analysis with `myTAI`","text":"Exact Tests Differences two groups negative-binomial counts implemented DiffGenes() based edgeR function exactTest(). Please consult edgeR Users Guide mathematical details.","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"install-edger-package","dir":"Articles","previous_headings":"Negative Binomial (Exact Tests)","what":"Install edgeR Package","title":"Gene Expression Analysis with `myTAI`","text":"detection DEGs using negative binomial models based powerful implementations provided edgeR package. Hence, using negative binomial models DiffGenes() users need install edgeR package.","code":"# install edgeR source(\"http://bioconductor.org/biocLite.R\") biocLite(\"edgeR\")"},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"double-tail-method","dir":"Articles","previous_headings":"Negative Binomial (Exact Tests)","what":"Double Tail Method","title":"Gene Expression Analysis with `myTAI`","text":"method computes two-sided p-values doubling smaller tail probability (see ?exactTestByDeviance details). compute p-values stagewise comparisons based negative binomial models, DiffGenes() argument method = \"doubletail\", number replicates per stage nrep, lib.size quantifying library size equalize sample library sizes quantile--quantile normalization need specified (see also ?equalizeLibSizes). , users can adjust p-values specifying p.adjust.method argument.","code":"data(\"PhyloExpressionSetExample\")  # Detection of DEGs using the p-value returned by the Double Tail Method DoubleTail.DEGs <- DiffGenes(ExpressionSet = PhyloExpressionSetExample[1:5,1:8],                         nrep          = 2,                         method        = \"doubletail\",                         lib.size      = 1000,                         stage.names   = c(\"S1\",\"S2\",\"S3\"))  # look at the results DoubleTail.DEGs Phylostratum      GeneID    S1<->S2     S1<->S3   S2<->S3 1            1 at1g01040.2 0.26026604 0.110233012 0.6304508 2            1 at1g01050.1 0.95314428 0.598102712 0.6398757 3            1 at1g01070.1 0.55461941 0.456018563 0.8774231 4            1 at1g01080.2 0.58130025 0.487028051 0.8860005 5            1 at1g01090.1 0.03615134 0.001773543 0.2645537 data(\"PhyloExpressionSetExample\")  # Detection of DEGs using the p-value returned by the Double Tail Method # and furthermore, adjust p-values for multiple comparison # using the Benjamini & Hochberg (1995) method: method = \"BH\" # and filter for significantly differentially expressed genes (alpha = 0.05) DoubleTail.DEGs.adj <- DiffGenes(ExpressionSet  = PhyloExpressionSetExample[1:5,1:8],                                 nrep            = 2,                                 method          = \"doubletail\",                                 lib.size        = 1000,                                 stage.names     = c(\"S1\",\"S2\",\"S3\"),                                 p.adjust.method = \"BH\")  # look at the results DoubleTail.DEGs.adj Phylostratum      GeneID   S1<->S2     S1<->S3   S2<->S3 1            1 at1g01040.2 0.6506651 0.275582530 0.8860005 2            1 at1g01050.1 0.9531443 0.598102712 0.8860005 3            1 at1g01070.1 0.7266253 0.598102712 0.8860005 4            1 at1g01080.2 0.7266253 0.598102712 0.8860005 5            1 at1g01090.1 0.1807567 0.008867715 0.8860005"},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"small-p-method","dir":"Articles","previous_headings":"Negative Binomial (Exact Tests)","what":"Small-P Method","title":"Gene Expression Analysis with `myTAI`","text":"method performs method small probabilities proposed Robinson Smyth (2008) (see exactTestBySmallP details). compute p-values stagewise comparisons based negative binomial models, DiffGenes() argument method = \"doubletail\", number replicates per stage nrep, lib.size quantifying library size equalize sample library sizes quantile--quantile normalization need specified (see also ?equalizeLibSizes). , users can adjust p-values specifying p.adjust.method argument.","code":"data(\"PhyloExpressionSetExample\")  # Detection of DEGs using the p-value returned by the Small-P Method SmallP.DEGs <- DiffGenes(ExpressionSet = PhyloExpressionSetExample[1:5,1:8],                         nrep          = 2,                         method        = \"smallp\",                         lib.size      = 1000,                         stage.names   = c(\"S1\",\"S2\",\"S3\"))  # look at the results SmallP.DEGs Phylostratum      GeneID    S1<->S2     S1<->S3   S2<->S3 1            1 at1g01040.2 0.26026604 0.110233012 0.6304508 2            1 at1g01050.1 0.95314428 0.598102712 0.6398757 3            1 at1g01070.1 0.55461941 0.456018563 0.8774231 4            1 at1g01080.2 0.58130025 0.487028051 0.8860005 5            1 at1g01090.1 0.03615134 0.001773543 0.2645537 data(\"PhyloExpressionSetExample\")  # Detection of DEGs using the p-value returned by the Small-P Method # and furthermore, adjust p-values for multiple comparison # using the Benjamini & Hochberg (1995) method: method = \"BH\" # and filter for significantly differentially expressed genes (alpha = 0.05) SmallP.DEGs.adj <- DiffGenes(ExpressionSet  = PhyloExpressionSetExample[1:5,1:8],                                 nrep            = 2,                                 method          = \"smallp\",                                 lib.size        = 1000,                                 stage.names     = c(\"S1\",\"S2\",\"S3\"),                                 p.adjust.method = \"BH\")  # look at the results SmallP.DEGs.adj Phylostratum      GeneID   S1<->S2     S1<->S3   S2<->S3 1            1 at1g01040.2 0.6506651 0.275582530 0.8860005 2            1 at1g01050.1 0.9531443 0.598102712 0.8860005 3            1 at1g01070.1 0.7266253 0.598102712 0.8860005 4            1 at1g01080.2 0.7266253 0.598102712 0.8860005 5            1 at1g01090.1 0.1807567 0.008867715 0.8860005"},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"deviance-method","dir":"Articles","previous_headings":"Negative Binomial (Exact Tests)","what":"Deviance Method","title":"Gene Expression Analysis with `myTAI`","text":"method uses deviance goodness fit statistics define rejection region, therefore equivalent conditional likelihood ratio test (see exactTestByDeviance details). compute p-values stagewise comparisons based negative binomial models, DiffGenes() argument method = \"doubletail\", number replicates per stage nrep, lib.size quantifying library size equalize sample library sizes quantile--quantile normalization need specified (see also ?equalizeLibSizes). , users can adjust p-values specifying p.adjust.method argument.","code":"data(\"PhyloExpressionSetExample\")  # Detection of DEGs using the p-value returned by the Deviance Deviance.DEGs <- DiffGenes(ExpressionSet = PhyloExpressionSetExample[1:5,1:8],                         nrep          = 2,                         method        = \"deviance\",                         lib.size      = 1000,                         stage.names   = c(\"S1\",\"S2\",\"S3\"))  # look at the results Deviance.DEGs Phylostratum      GeneID    S1<->S2     S1<->S3   S2<->S3 1            1 at1g01040.2 0.26026604 0.110233012 0.6304508 2            1 at1g01050.1 0.95314428 0.598102712 0.6398757 3            1 at1g01070.1 0.55461941 0.456018563 0.8774231 4            1 at1g01080.2 0.58130025 0.487028051 0.8860005 5            1 at1g01090.1 0.03615134 0.001773543 0.2645537 data(\"PhyloExpressionSetExample\")  # Detection of DEGs using the p-value returned by the Deviance Method # and furthermore, adjust p-values for multiple comparison # using the Benjamini & Hochberg (1995) method: method = \"BH\" # and filter for significantly differentially expressed genes (alpha = 0.05) Deviance.DEGs.adj <- DiffGenes(ExpressionSet    = PhyloExpressionSetExample[1:5,1:8],                                 nrep            = 2,                                 method          = \"deviance\",                                 lib.size        = 1000,                                 stage.names     = c(\"S1\",\"S2\",\"S3\"),                                 p.adjust.method = \"BH\")  # look at the results Deviance.DEGs.adj Phylostratum      GeneID   S1<->S2     S1<->S3   S2<->S3 1            1 at1g01040.2 0.6506651 0.275582530 0.8860005 2            1 at1g01050.1 0.9531443 0.598102712 0.8860005 3            1 at1g01070.1 0.7266253 0.598102712 0.8860005 4            1 at1g01080.2 0.7266253 0.598102712 0.8860005 5            1 at1g01090.1 0.1807567 0.008867715 0.8860005"},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"replicate-quality-check","dir":"Articles","previous_headings":"","what":"Replicate Quality Check","title":"Gene Expression Analysis with `myTAI`","text":"Users can also perform replicate quality checks quantify variability replicate expression levels fo stage separately. PlotReplicateQuality() designed perform customized replicate variability checks ExpressionSet object storing replicates. resulting plot visualizes kernel density estimates variance (log variance) replicates. curve represents density function replicate variation within one stage experiment. case variance replicates Stage 1 Stage 3 (including 2 replicates) seem deviate allowing conclusion stage different expression level variability replicates. FUN argument implemented PlotReplicateQuality() allows users furthermore, specify customized criteria quantifying replicate variability. Please notice function specified FUN performed separately gene stage. following example median absolute deviation function mad() used quantify replicate variability. general, users limited specific functions implemented R. writing customized functions FUN = function(x) return((x - mean(x))^2) users can define criteria quantify replicate variability can apply criteria PlotReplicateQuality() specifying FUN argument.","code":"data(PhyloExpressionSetExample)  # visualize the sd() between replicates PlotReplicateQuality(ExpressionSet = PhyloExpressionSetExample[ , 1:8],                      nrep          = 2,                      legend.pos   = \"topright\",                      ylim          = c(0,0.2),                      lwd           = 6) data(PhyloExpressionSetExample)  # visualize the mad() between replicates PlotReplicateQuality(ExpressionSet = PhyloExpressionSetExample[ , 1:8],                      nrep          = 2,                      FUN           = mad,                      legend.pos    = \"topright\",                      ylim          = c(0,0.015),                      lwd           = 6)"},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"collapsing-replicate-samples","dir":"Articles","previous_headings":"","what":"Collapsing Replicate Samples","title":"Gene Expression Analysis with `myTAI`","text":"performing differential gene expression analyses, replicate expression levels collapsed single stage specific expression level. purpose, myTAI implements CollapseReplicates() function, allowing users combine replicate expression levels stored standard PhyloExpressionSet DivergenceExpressionSet object stage specific expression level using specified window function. Now, assume example PhyloExpressionSet stores three developmental stages 2 biological replicates developmental stage. course, now compute visualize TAI profile typing: Usually, one expect variations replicate values smaller variations developmental stages. example however, constructed replicate values vary larger expression levels developmental stages. many applications might useful visualize TAI/TDI values replicates well, normally replicate values collapsed one gene stage specific value differential gene expression analyses replicate quality control performed. following example illustrates collapse replicates CollapseReplicates(): nrep argument specifies either constant number replicates per stage numeric vector storing variable numbers replicates developmental stage. example, developmental stage constant (equal) number replicates per developmental stage (nrep = 2). case variable stage specific number replicates present, one specify nrep = c(2,3,2) defining case developmental stage 1 stores 2 replicates, stage 2 stores 3 replicates, stage 3 , stores 2 replicates. argument FUN specifies window function collapse replicate expression levels single stage specific value. example, chose geom.mean() (geometric mean) function implemented myTAI, example PhyloExpressionSet stores absolute expression levels. Notice mathematical equivalent performing arithmetic mean (mean()) computations log expression levels perform geometric mean (geom.mean()) absolute expression levels. stage.names argument specifies new names collapsed stages.","code":"library(myTAI)  # load example data data(PhyloExpressionSetExample)  # generate an example PhyloExpressionSet with replicates ExampleReplicateExpressionSet <- PhyloExpressionSetExample[ ,1:8]  # rename stages names(ExampleReplicateExpressionSet)[3:8] <- c(\"Stage_1_Repl_1\",\"Stage_1_Repl_2\",                                                \"Stage_2_Repl_1\",\"Stage_2_Repl_2\",                                                \"Stage_3_Repl_1\",\"Stage_3_Repl_2\") # have a look at the example dataset head(ExampleReplicateExpressionSet, 5) Phylostratum      GeneID Stage_1_Repl_1 Stage_1_Repl_2 Stage_2_Repl_1 Stage_2_Repl_2 Stage_3_Repl_1 Stage_3_Repl_2 1            1 at1g01040.2       2173.635      1911.2001       1152.555      1291.4224       1000.253       962.9772 2            1 at1g01050.1       1501.014      1817.3086       1665.309      1564.7612       1496.321      1114.6435 3            1 at1g01070.1       1212.793      1233.0023        939.200       929.6195        864.218       877.2060 4            1 at1g01080.2       1016.920       936.3837       1181.338      1329.4734       1392.643      1287.9746 5            1 at1g01090.1      11424.567     16778.1685      34366.649     39775.6405      56231.569     66980.3673 # visualize the TAI profile over 3 stages of development # and 2 replicates per stage PlotPattern(ExpressionSet = ExampleReplicateExpressionSet,             type          = \"l\",             lwd           = 6) # combine the expression levels of the 2 replicates (const) per stage # using geom.mean as window function and rename new stages to: \"S1\",\"S2\",\"S3\" CollapssedPhyloExpressionSet <- CollapseReplicates(                                        ExpressionSet = ExampleReplicateExpressionSet,                                        nrep          = 2,                                        FUN           = geom.mean,                                        stage.names   = c(\"S1\",\"S2\",\"S3\"))  # have a look at the collapsed PhyloExpressionSet head(CollapssedPhyloExpressionSet) Phylostratum      GeneID         S1         S2         S3 1            1 at1g01040.2  2038.1982  1220.0147   981.4381 2            1 at1g01050.1  1651.6070  1614.2524  1291.4582 3            1 at1g01070.1  1222.8557   934.3975   870.6878 4            1 at1g01080.2   975.8215  1253.2189  1339.2866 5            1 at1g01090.1 13844.9740 36972.3612 61371.0937 6            1 at1g01120.1   815.3288   894.8987   905.8272"},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"filter-for-expressed-genes","dir":"Articles","previous_headings":"","what":"Filter for Expressed Genes","title":"Gene Expression Analysis with `myTAI`","text":"differential gene expression analyses replicate aggregation performed, studies filter gene expression levels RNA-Seq count tables microarray expression matrices non-expressed outlier genes. example, studies performing RNA-Seq experiments FPKM/RPKM values < 1 remove processed (final) count table. purpose myTAI implements Expressed() function filter (remove) expression levels RNA-Seq count tables microarray expression matrices pass defined expression threshold. Expressed() function takes standard PhyloExpressionSet DivergenceExpressionSet object storing RNA-Seq count table (CT) microarray gene expression matrix removes genes count table gene expression matrix expression level defined cut.value. Expressed() allows users choose several gene extraction methods (see ?Expressed details): const: genes least one stage undercuts exceeds expression cut.excluded ExpressionSet. Hence, 7 stage ExpressionSet genes passing expression level cut.6 stages retained ExpressionSet. min-set: genes passing expression level cut.ceiling(n/2) stages retained ExpressionSet, n number stages ExpressionSet. n-set: genes passing expression level cut.n stages retained ExpressionSet. , argument n defining number stages threshold criteria fulfilled. Users observe 449 25260 genes PhyloExpressionSetExample absolute expression level 8000 omitting genes using method = 'const'. argument comparison specifies whether genes expression levels , , () cut.value removed dataset. following comparison methods can selected: comparison = \"\": define genes expressed undercut cut-threshold. comparison = \"\": define genes outliers exceed cut-threshold. comparison = \"\": remove genes fulfilling comparison = \"\" comparison = \"\" criteria. example 25260 - 23547 = 1713 classified outliers (expression levels 12000) removed dataset. selecting comparison = '', cut.argument receives 2 threshold values: cut.first element cut.second element. case cut.= c(8000,12000). , 2 genes fulfill criteria. Analogously, users can specify number stages fulfill threshold criteria using n-set method. , 20 genes fulfilling criteria.","code":"# check number of genes in PhyloExpressionSetExample nrow(PhyloExpressionSetExample) #> [1] 25260  # remove genes that have an expression level below 8000 # in at least one developmental stage FilterConst <- Expressed(ExpressionSet = PhyloExpressionSetExample,                          cut.off       = 8000,                          comparison    = \"below\",                           method        = \"const\")  nrow(FilterConst) # check number of retained genes #> [1] 449 # again: check number of genes in PhyloExpressionSetExample nrow(PhyloExpressionSetExample) #> [1] 25260  # remove genes that have an expression level above 12000 # in at least one developmental stage (outlier removal) FilterConst.above <- Expressed(ExpressionSet = PhyloExpressionSetExample,                                cut.off       = 12000,                                comparison    = \"above\",                                 method        = \"const\")  nrow(FilterConst.above) # check number of retained genes #> [1] 23547 # again: check number of genes in PhyloExpressionSetExample nrow(PhyloExpressionSetExample) #> [1] 25260  # remove genes that have an expression level below 8000 AND above 12000 # in at least one developmental stage (non-expressed genes AND outlier removal) FilterConst.both <-  Expressed(ExpressionSet = PhyloExpressionSetExample,                                cut.off       = c(8000,12000),                                comparison    = \"both\",                                 method        = \"const\")  nrow(FilterConst.both) # check number of retained genes #> [1] 2 # remove genes that have an expression level below 8000 # in at least 5 developmental stages (in this case: n = 2 stages fulfilling the criteria) FilterNSet <- Expressed(ExpressionSet = PhyloExpressionSetExample,                         cut.off       = 8000,                         method        = \"n-set\",                         comparison    = \"below\",                         n             = 2)  nrow(FilterMinSet) # check number of retained genes #> [1] 20"},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"compute-the-statistical-significance-of-each-replicate-combination","dir":"Articles","previous_headings":"","what":"Compute the Statistical Significance of Each Replicate Combination","title":"Gene Expression Analysis with `myTAI`","text":"cases (high variability replicates) might useful verify sequence replicates (possible combination replicates) results non-significant TAI TDI pattern, initial pattern combined replicates shown significant. CombinatorialSignificance() function implemented myTAI allows users compute p-values quantifying statistical significance underlying pattern combinations replicates.","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Expression.html","id":"a-small-example","dir":"Articles","previous_headings":"Compute the Statistical Significance of Each Replicate Combination","what":"A small Example:","title":"Gene Expression Analysis with `myTAI`","text":"Assume PhyloExpressionSet stores 3 developmental stages 3 replicates measured stage. 9 replicates total denoted : 1.1,1.2,1.3,2.1,2.2,2.3,3.1,3.2,3.31.1, 1.2, 1.3, 2.1, 2.2, 2.3, 3.1, 3.2, 3.3. Now function computes statistical significance pattern derived corresponding combination replicates, e.g. 1.1, 2.1, 3.1 : p-value combination 1 1.1, 2.2, 3.1 : p-value combination 2 1.1, 2.3, 3.1 : p-value combination 3 1.2, 2.1, 3.1 : p-value combination 4 1.2, 2.1, 3.1 : p-value combination 5 1.2, 2.1, 3.1 : p-value combination 6 1.3, 2.1, 3.1 : p-value combination 7 1.3, 2.2, 3.1 : p-value combination 8 1.3, 2.3, 3.1 : p-value combination 9 … procedure yields 27 p-values 333^3 (nmn^m) replicate combinations, nn denotes number developmental stages mm denotes number replicates per stage. Note case users large amount stages/experiments large amount replicates computation time increase nmn^m. 11 stages 4 replicates, 4114^{11} = 4194304 p-values computed. p-value computation based permutation test running 1,000,10,000,...1,000, 10,000, ... permutations. aware might take time. p-value vector returned function can used plot p-values see whether critical value α\\alpha exceeded (e.g. α=0.05\\alpha = 0.05). Users observe none replicate combinations resulted p-values > 0.05 thus can assume phylotranscriptomic pattern computed based collapsed replicates biased insignificant replicate combinations. CombinatorialSignificance() can perform significance tests introduced Introduction Intermediate vignettes. Furthermore, parallel argument allows users perform significance computations parallel multicore machine. speed p-value computations large number combinations.","code":"# load a standard PhyloExpressionSet data(PhyloExpressionSetExample)  # we assume that the PhyloExpressionSetExample # consists of 3 developmental stages # and 2 replicates for stage 1, 3 replicates for stage 2, # and 2 replicates for stage 3 # FOR REAL ANALYSES PLEASE USE: permutations = 1000 or 10000 # BUT NOTE THAT THIS TAKES MUCH MORE COMPUTATION TIME p.vector <- CombinatorialSignificance(ExpressionSet = PhyloExpressionSetExample,                                       replicates    = c(2,3,2),                                       TestStatistic = \"FlatLineTest\",                                       permutations  = 100,                                       parallel      = FALSE) [1] 2.436296e-03 2.288593e-02 1.608399e-03 1.185615e-02 1.835306e-06 1.077012e-05  [7] 2.025515e-07 5.148342e-07 1.654885e-07 6.251145e-06 9.265520e-10 1.047479e-06 any(p.vector > 0.05) #> FALSE"},{"path":"https://drostlab.github.io/myTAI/articles/Intermediate.html","id":"investigating-the-statistical-significance-of-phylotranscriptomic-patterns","dir":"Articles","previous_headings":"","what":"Investigating the Statistical Significance of Phylotranscriptomic Patterns","title":"Intermediate Phylotranscriptomics Analyses","text":"Three methods proposed quantify statistical significance observed phylotranscriptomics patterns (Quint et al., 2012; Drost et al., 2015). Flat Line Test Reductive Hourglass Test Reductive Early Conservation Test , build test statistic test step step future modifications new test statistics can built upon existing methods implemented myTAI package.","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Intermediate.html","id":"flat-line-test","dir":"Articles","previous_headings":"Investigating the Statistical Significance of Phylotranscriptomic Patterns","what":"Flat Line Test","title":"Intermediate Phylotranscriptomics Analyses","text":"Flat Line Test permutation test quantifying statistical significance observed phylotranscriptomic pattern. goal detect evolutionary signal within developmental time course significantly deviates flat line. build test statistic start standard PhyloExpressionSet. myTAI package provides example PhyloExpressionSet named PhyloExpressionSetExample: Users observe first column PhyloExpressionSetExample stores Phylostratum assignments corresponding genes. permutation test based random sampling Phylostratum assignment genes. underlying assumption TAI profile correctly assigned Phylostrata significantly deviating TAI profiles based randomly assigned Phylostrata. Visualization: Visualization: Users observe visual pattern correctly assigned TAI profile randomly assigned TAI profile differ qualitatively. Now investigate variance two observed patterns. observe variance randomly assigned TAI profile much smaller variance correctly assigned TAI profile. use variance quantify flatness given TAI profile. theory variance perfect flat line zero. TAI profile close zero resemble flat line. exactly variances randomly assigned TAI profiles distributed? purpose bootMatrix() function implemented. bootMatrix() takes PhyloExpressionSet DivergenceExpressionSet input computes N TAI TDI profiles based randomly assigned Phylostrata Divergence-Strata. Based booMatrix can compute variance random TAI profile. Now interesting see can find variance correctly assigned TAI. plot illustrates variances based random TAI profiles seem smaller variance variance based correct TAI profile. obtain p-value now quantifies difference, need fit histogram variance_vector specific probability distribution. Visually possible choose gamma distribution fit histogram variance_vector. validate choice Cullen Frey graph provided fitdistrplus package can used. Based observation gamma distribution suitable fit variance_vector, can now estimate parameters gamma distribution fits data. Using gamma distribution estimated parameters corresponding p-value var_real can computed. Hence, variance correct TAI profile significantly deviates random TAI profiles allows us assume underlying TAI profile captures real evolutionary signal.","code":"library(myTAI)  # load an example PhyloExpressionSet stored in the myTAI package data(PhyloExpressionSetExample)   # look at the standardized data set format head(PhyloExpressionSetExample, 3) Phylostratum      GeneID   Zygote Quadrant Globular     Heart  Torpedo      Bent    Mature 1            1 at1g01040.2 2173.635 1911.200 1152.555 1291.4224 1000.253  962.9772 1696.4274 2            1 at1g01050.1 1501.014 1817.309 1665.309 1564.7612 1496.321 1114.6435 1071.6555 3            1 at1g01070.1 1212.793 1233.002  939.200  929.6195  864.218  877.2060  894.8189 # TAI profile of correctly assigned Phylostrata TAI(PhyloExpressionSetExample) Zygote Quadrant Globular    Heart  Torpedo     Bent   Mature  3.229942 3.225614 3.107135 3.116693 3.073993 3.176511 3.390334 data(PhyloExpressionSetExample) # Visualize the TAI profile of correctly assigned Phylostrata PlotSignature( ExpressionSet = PhyloExpressionSetExample,                 p.value       = FALSE ) Zygote Quadrant Globular    Heart  Torpedo     Bent   Mature  3.543700 3.573999 3.554707 3.543376 3.582905 3.562813 3.523409 # Visualize the TAI profile based on randomly assigned Phylostrata PlotSignature( ExpressionSet =  randomPhyloExpressionSetExample,                 p.value       = FALSE ) [1] 0.01147725 [1] 0.0004102549 Zygote Quadrant Globular    Heart  Torpedo     Bent   Mature 1 3.578000 3.577732 3.552230 3.556756 3.555627 3.553580 3.510978 2 3.590339 3.564544 3.589012 3.598754 3.583721 3.597553 3.633530 3 3.615284 3.616286 3.569486 3.566816 3.575761 3.554789 3.601522 4 3.501172 3.506554 3.486261 3.491282 3.531536 3.541634 3.494997 5 3.450857 3.458339 3.447274 3.463692 3.444261 3.468433 3.497926 6 3.539454 3.543827 3.595298 3.588149 3.582898 3.588062 3.565487 # compute the variance of the random TAI profile for each row variance_vector <- apply(randomTAIs, 1 , var)  # and visualize the distribution of variances hist(variance_vector, breaks = 100) # variance of the TAI profile based on correctly assigned Phylostrata var_real <- var(TAI(PhyloExpressionSetExample))   # visualize the distribution of variances hist( x      = c(variance_vector,var_real),        breaks = 100,        xlab   = \"variance\",        main   = \"Histogram of variance_vector\" )  # and plot a red line at the position where we can find the  # real variance abline(v = var_real, lwd = 5, col = \"red\") # install.packages(\"fitdistrplus\")  # plot a Cullen and Frey graph fitdistrplus::descdist(variance_vector) # estimate the parameters: shape and rate using 'moment matching estimation' gamma_MME <- fitdistrplus::fitdist(variance_vector,distr = \"gamma\", method = \"mme\") # estimate shape: shape <- gamma_MME$estimate[1] # estimate the rate: rate <- gamma_MME$estimate[2]  # define an expression written as function as input for the curve() function gamma_distr <- function(x){ return(dgamma(x = x, shape = shape, rate = rate)) }  # plot the density function and the histogram of variance_vector curve( expr = gamma_distr,        xlim = c(min(variance_vector),max(c(variance_vector,var_real))),        col  = \"steelblue\",        lwd  = 5,        xlab = \"Variances\",         ylab = \"Frequency\" )  # plot the histogram of variance_vector histogram <- hist(variance_vector,prob = TRUE,add = TRUE, breaks = 100) rug(variance_vector)  # plot a red line at the position where we can find the real variance abline(v = var_real, lwd = 5, col = \"red\") # p-value of var_real pgamma(var_real, shape = shape,rate = rate, lower.tail = FALSE)"},{"path":"https://drostlab.github.io/myTAI/articles/Intermediate.html","id":"using-the-flatlinetest-function","dir":"Articles","previous_headings":"Investigating the Statistical Significance of Phylotranscriptomic Patterns","what":"Using the FlatLineTest() Function","title":"Intermediate Phylotranscriptomics Analyses","text":"entire procedure computing p-value variance TAI profiles test statistic done FlatLineTest() function. function returns p-value test statistic. Additionally FlatLineTest() function allows investigate goodness test statistic. plotHistogram argument specifies whether analytics plots shall drawn quantify goodness test statistic returned FlatLineTest. three resulting plots show: Cullen Frey graph histogram test statistic corresponding gamma distribution fitted test statistic plot showing p-values (p_flt) 10 individual runs. Since underlying test statistic generated permutation test, third plot returned FlatLineTest() shows influence different permutations corresponding p-value words, test whether underlying permutation permutation test causing significance p-value, can specify runs argument within FlatLineTest() function perform several independent runs. case exists permutation causes previous significant p-value become non-significant, corresponding phylotranscriptomic pattern shouldn’t considered statistically significant.","code":"# Perform the FlatLineTest FlatLineTest( ExpressionSet = PhyloExpressionSetExample,                permutations  = 1000 ) # perform the FlatLineTest and investigate the goodness of the test statistic FlatLineTest( ExpressionSet = PhyloExpressionSetExample,                permutations  = 1000,                plotHistogram = TRUE )"},{"path":"https://drostlab.github.io/myTAI/articles/Intermediate.html","id":"reductive-hourglass-test","dir":"Articles","previous_headings":"Investigating the Statistical Significance of Phylotranscriptomic Patterns","what":"Reductive Hourglass Test","title":"Intermediate Phylotranscriptomics Analyses","text":"Reductive Hourglass Test developed statistically evaluate existence phylotranscriptomic hourglass pattern based TAI TDI computations. corresponding p-value quantifies probability given TAI TDI pattern (phylotranscriptomics pattern) follow hourglass like shape. p-value < 0.05 indicates corresponding phylotranscriptomics pattern indeed follow hourglass (high-low-high) shape. build test statistic start standard PhyloExpressionSet. compute TAI() profile PhyloExpressionSetExample. Visualization: Reductive Hourglass Test permutation test based following test statistic. set developmental stages partitioned three modules - early, mid, late - based prior biological knowledge (see Drost et al., 2015 details). mean TAI TDI value three modules TearlyT_{early}, TmidT_{mid}, TlateT_{late} computed. two differences D1 = TearlyT_{early} - TmidT_{mid} D2 = TlateT_{late} - TmidT_{mid} calculated. minimum DminD_{min} D1 D2 computed final test statistic Reductive Hourglass Test. order determine statistical significance observed minimum difference DminD_{min} following permutation test performed. Based bootMatrix() DminD_{min} calculated permuted TAI TDI profiles, approximated Gaussian distribution method moments estimated parameters returned fitdistrplus::fitdist(), corresponding p-value computed pnorm given estimated parameters Gaussian distribution. goodness fit random vector DminD_{min} statistically quantified Lilliefors (Kolmogorov-Smirnov) test normality. perform Reductive Hourglass Test can use ReductiveHourglassTest() function. Using function need divide given phylotranscriptomic pattern three developmental modules: early module mid module late module can done using modules argument: module = list(early = 1:2, mid = 3:5, late = 6:7). example (PhyloExpressionSetExample) divide corresponding developmental process three modules: early module: Stages 1 - 2 = Zygote Quadrant mid module: Stages 3 - 5 = Globular, Heart, Torpedo late module: Stages 6 - 7 = Bent Mature corresponding output shows p-value returned Reductive Hourglass Test, standard deviation randomly permuted TAI profiles returned bootMatrix() (apply(bootMatrix(PhyloExpressionSetExample) , 2 , sd)) case argument lillie.test = TRUE, logical value representing goodness fit statistic returned Lilliefors (Kolmogorov-Smirnov) test normality. case lillie.test TRUE corresponding Lilliefors (Kolmogorov-Smirnov) test passed goodness fit criterion. case lillie.test FALSE corresponding goodness fit normal distribution statistically significant. Analogous plotHistogram argument present FlatLineTest() function, ReductiveHourglassTest() function also takes argument plotHistogram. plotHistogram = TRUE, ReductiveHourglassTest() function returns multi-plot showing: Cullen Frey skewness-kurtosis plot. plot illustrates distributions seem plausible fit resulting permutation vector DminD_{min}. normal distribution seems plausible. histogram DminD_{min} combined density plot visualized. DminD_{min} fitted normal distribution. corresponding parameters estimated moment matching estimation. plot showing p-values N independent runs verify specific p-value biased specific permutation order. bar plot showing number cases underlying goodness fit (returned Lilliefors (Kolmogorov-Smirnov) test normality) shown significant (TRUE) significant (FALSE). allows quantify permutation bias implications goodness fit. corresponding output shows summary statistics fitted normal distribution well p-value, standard deviation, Lilliefors (Kolmogorov-Smirnov) test result. example output nicely illustrates although Lilliefors (Kolmogorov-Smirnov) test normality violated permutations, Cullen Frey graph shows better approximation normal distribution (also supported visually investigating fitted frequency distribution). corresponding p-value returned ReductiveHourglassTest() significant illustrates observed phylotranscriptomic pattern PhyloExpressionSetExample follow Hourglass Model assumption.","code":"Phylostratum      GeneID   Zygote Quadrant Globular     Heart  Torpedo      Bent    Mature 1            1 at1g01040.2 2173.635 1911.200 1152.555 1291.4224 1000.253  962.9772 1696.4274 2            1 at1g01050.1 1501.014 1817.309 1665.309 1564.7612 1496.321 1114.6435 1071.6555 3            1 at1g01070.1 1212.793 1233.002  939.200  929.6195  864.218  877.2060  894.8189 # TAI profile of correctly assigned Phylostrata TAI(PhyloExpressionSetExample) Zygote Quadrant Globular    Heart  Torpedo     Bent   Mature  3.229942 3.225614 3.107135 3.116693 3.073993 3.176511 3.390334 # visualize the TAI profile of correctly assigned Phylostrata PlotSignature( ExpressionSet = PhyloExpressionSetExample,                 p.value       = FALSE ) # Perform the Reductive Hourglass Test ReductiveHourglassTest( ExpressionSet = PhyloExpressionSetExample,                         modules       = list(early = 1:2, mid = 3:5, late = 6:7),                         lillie.test   = TRUE ) # perform the Reductive Hourglass Test and plot the test statistic ReductiveHourglassTest( ExpressionSet = PhyloExpressionSetExample,                         modules       = list(early = 1:2, mid = 3:5, late = 6:7),                         plotHistogram = TRUE,                          lillie.test   = TRUE )"},{"path":"https://drostlab.github.io/myTAI/articles/Intermediate.html","id":"reductive-early-conservation-test","dir":"Articles","previous_headings":"Investigating the Statistical Significance of Phylotranscriptomic Patterns","what":"Reductive Early Conservation Test","title":"Intermediate Phylotranscriptomics Analyses","text":"Early Conservation Test developed statistically evaluate existence monotonically increasing phylotranscriptomic pattern based TAI TDI computations. corresponding p-value quantifies probability given TAI TDI pattern (phylotranscriptomic pattern) follow early conservation like pattern. p-value < 0.05 indicates corresponding phylotranscriptomics pattern indeed follow early conservation (low-high-high) shape. build test statistic start standard PhyloExpressionSet. compute TAI() profile PhyloExpressionSetExample. Visualization: reductive early conservation test permutation test based following test statistic. set developmental stages partitioned three modules - early, mid, late - based prior biological knowledge. mean TAI TDI value three modules TearlyT_{early}, TmidT_{mid}, TlateT_{late} computed. two differences D1 = TmidT_{mid} - TearlyT_{early} D2 = TlateT_{late} - TearlyT_{early} calculated. minimum DminD_{min} D1 D2 computed final test statistic Reductive Early Conservation Test. order determine statistical significance observed minimum difference DminD_{min} following permutation test performed. Based bootMatrix() DminD_{min} calculated permuted TAI TDI profiles, approximated Gaussian distribution method moments estimated parameters returned fitdistrplus::fitdist(), corresponding p-value computed pnorm given estimated parameters Gaussian distribution. goodness fit random vector DminD_{min} statistically quantified Lilliefors (Kolmogorov-Smirnov) test normality. perform Reductive Early Conservation Test can use EarlyConservationTest() function. Using function need divide given phylotranscriptomics pattern three developmental modules: early module mid module late module can done using modules argument: module = list(early = 1:2, mid = 3:5, late = 6:7). example (PhyloExpressionSetExample) divide corresponding developmental process three modules: early module: Stages 1 - 2 = Zygote Quadrant mid module: Stages 3 - 5 = Globular, Heart, Torpedo late module: Stages 6 - 7 = Bent Mature Analogous plotHistogram argument present FlatLineTest() ReductiveHourglassTest() function, EarlyConservationTest() function also takes argument plotHistogram. plotHistogram = TRUE, EarlyConservationTest() function returns multi-plot showing: Cullen Frey skewness-kurtosis plot. plot illustrates distributions seem plausible fit resulting permutation vector DminD_{min}. normal distribution seems appropriate. histogram DminD_{min} combined density plot visualized. DminD_{min} fitted normal distribution. corresponding parameters estimated moment matching estimation. plot showing p-values N independent runs verify specific p-value biased specific permutation order. bar plot showing number cases underlying goodness fit (returned Lilliefors (Kolmogorov-Smirnov) test normality) shown significant (TRUE) significant (FALSE). allows quantify permutation bias implications goodness fit. example output nicely illustrates although Lilliefors (Kolmogorov-Smirnov) test normality violated, Cullen Frey graph shows better approximation normal distribution (also supported visually investigating fitted frequency distribution). corresponding p-value returned EarlyConservationTest() highly non-significant illustrates observed phylotranscriptomic pattern PhyloExpressionSetExample follow Early Conservation Model assumption. example shall illustrate finding right test statistic multi-step process investigating different properties underlying permutation test. Although single aspects might fit fit corresponding criteria, overall impression (sum individual analyses) must considered obtain valid p-value.","code":"library(myTAI)  # load an example PhyloExpressionSet stored in the myTAI package data(PhyloExpressionSetExample)   # look at the standardized data set format head(PhyloExpressionSetExample, 3) # TAI profile of correctly assigned Phylostrata TAI(PhyloExpressionSetExample) Zygote Quadrant Globular    Heart  Torpedo     Bent   Mature  3.229942 3.225614 3.107135 3.116693 3.073993 3.176511 3.390334 # Visualize the TAI profile of correctly assigned Phylostrata PlotSignature( ExpressionSet = PhyloExpressionSetExample,                 p.value       = FALSE ) # Perform the Reductive Early Conservation Test EarlyConservationTest( ExpressionSet = PhyloExpressionSetExample,                        modules       = list(early = 1:2, mid = 3:5, late = 6:7),                        lillie.test   = TRUE ) # perform the Reductive Early Conservation Test and plot the test statistic EarlyConservationTest( ExpressionSet = PhyloExpressionSetExample,                        modules       = list(early = 1:2, mid = 3:5, late = 6:7),                        plotHistogram = TRUE,                         lillie.test   = TRUE )"},{"path":"https://drostlab.github.io/myTAI/articles/Intermediate.html","id":"reverse-hourglass-test","dir":"Articles","previous_headings":"Investigating the Statistical Significance of Phylotranscriptomic Patterns","what":"Reverse Hourglass Test","title":"Intermediate Phylotranscriptomics Analyses","text":"Reverse Hourglass Test developed statistically evaluate existence reverse hourglass pattern based TAI TDI computations. corresponding p-value quantifies probability given TAI TDI pattern (phylotranscriptomics pattern) follow reverse hourglass like shape. p-value < 0.05 indicates corresponding phylotranscriptomics pattern indeed follow reverse hourglass (low-high-low) shape. build test statistic start standard PhyloExpressionSet. compute TAI() profile PhyloExpressionSetExample. Visualization: Reverse Hourglass Test permutation test based following test statistic. set developmental stages partitioned three modules - early, mid, late - based prior biological knowledge (see Drost et al., 2015 details). mean TAI TDI value three modules TearlyT_{early}, TmidT_{mid}, TlateT_{late} computed. two differences D1 = TmidT_{mid} - TearlyT_{early} D2 = TmidT_{mid} - TlateT_{late} calculated. minimum DminD_{min} D1 D2 computed final test statistic Reverse Hourglass Test. order determine statistical significance observed minimum difference DminD_{min} following permutation test performed. Based bootMatrix() DminD_{min} calculated permuted TAI TDI profiles, approximated Gaussian distribution method moments estimated parameters returned fitdistrplus::fitdist(), corresponding p-value computed pnorm given estimated parameters Gaussian distribution. goodness fit random vector DminD_{min} statistically quantified Lilliefors (Kolmogorov-Smirnov) test normality. perform Reverse Hourglass Test can use ReverseHourglassTest() function. Using function need divide given phylotranscriptomic pattern three developmental modules: early module mid module late module can done using modules argument: module = list(early = 1:2, mid = 3:5, late = 6:7). example (PhyloExpressionSetExample) divide corresponding developmental process three modules: early module: Stages 1 - 2 = Zygote Quadrant mid module: Stages 3 - 5 = Globular, Heart, Torpedo late module: Stages 6 - 7 = Bent Mature corresponding output shows p-value returned Reductive Hourglass Test, standard deviation randomly permuted TAI profiles returned bootMatrix() (apply(bootMatrix(PhyloExpressionSetExample) , 2 , sd)) case argument lillie.test = TRUE, logical value representing goodness fit statistic returned Lilliefors (Kolmogorov-Smirnov) test normality. case lillie.test TRUE corresponding Lilliefors (Kolmogorov-Smirnov) test passed goodness fit criterion. case lillie.test FALSE corresponding goodness fit normal distribution statistically significant. Analogous plotHistogram argument present FlatLineTest() function, ReductiveHourglassTest() function also takes argument plotHistogram. plotHistogram = TRUE, ReductiveHourglassTest() function returns multi-plot showing: Cullen Frey skewness-kurtosis plot. plot illustrates distributions seem plausible fit resulting permutation vector DminD_{min}. normal distribution seems plausible. histogram DminD_{min} combined density plot visualized. DminD_{min} fitted normal distribution. corresponding parameters estimated moment matching estimation. plot showing p-values N independent runs verify specific p-value biased specific permutation order. bar plot showing number cases underlying goodness fit (returned Lilliefors (Kolmogorov-Smirnov) test normality) shown significant (TRUE) significant (FALSE). allows quantify permutation bias implications goodness fit. corresponding output shows summary statistics fitted normal distribution well p-value, standard deviation, Lilliefors (Kolmogorov-Smirnov) test result. example output nicely illustrates although Lilliefors (Kolmogorov-Smirnov) test normality violated permutations, Cullen Frey graph shows better approximation normal distribution (also supported visually investigating fitted frequency distribution). corresponding p-value returned ReverseHourglassTest() significant illustrates observed phylotranscriptomic pattern PhyloExpressionSetExample follow Hourglass Model assumption.","code":"Phylostratum      GeneID   Zygote Quadrant Globular     Heart  Torpedo      Bent    Mature 1            1 at1g01040.2 2173.635 1911.200 1152.555 1291.4224 1000.253  962.9772 1696.4274 2            1 at1g01050.1 1501.014 1817.309 1665.309 1564.7612 1496.321 1114.6435 1071.6555 3            1 at1g01070.1 1212.793 1233.002  939.200  929.6195  864.218  877.2060  894.8189 # TAI profile of correctly assigned Phylostrata TAI(PhyloExpressionSetExample) Zygote Quadrant Globular    Heart  Torpedo     Bent   Mature  3.229942 3.225614 3.107135 3.116693 3.073993 3.176511 3.390334 # visualize the TAI profile of correctly assigned Phylostrata PlotSignature( ExpressionSet = PhyloExpressionSetExample,                 p.value       = FALSE ) # Perform the Reverse Hourglass Test ReverseHourglassTest( ExpressionSet = PhyloExpressionSetExample,                         modules       = list(early = 1:2, mid = 3:5, late = 6:7),                         lillie.test   = TRUE ) $p.value [1] 1  $std.dev [1] 0.05598325 0.05469016 0.05386737 0.05248817 0.05161525 0.05411684 0.05605765  $lillie.test [1] TRUE # perform the Reverse Hourglass Test and plot the test statistic ReverseHourglassTest( ExpressionSet = PhyloExpressionSetExample,                         modules       = list(early = 1:2, mid = 3:5, late = 6:7),                         plotHistogram = TRUE,                          lillie.test   = TRUE )"},{"path":"https://drostlab.github.io/myTAI/articles/Intermediate.html","id":"data-transformation","dir":"Articles","previous_headings":"","what":"Data Transformation","title":"Intermediate Phylotranscriptomics Analyses","text":"Motivated discussion raised Piasecka et al., 2013, influence gene expression transformation global phylotranscriptomic patterns seem negligible. Hence, different transformations can result qualitatively different TAI TDI patterns. Initially, TAI TDI formulas defined absolute expression levels. using initial TAI TDI formulas transformed expression levels can result qualitatively different patterns compared non-transformed expression levels, might also belong different class models, since different valid expression level transformation functions result different patterns. purpose tf() function allow user study qualitative impact different transformation functions global TAI TDI pattern, subsequent phylotranscriptomic analysis. examples using PhyloExpressionSetExample data set show using common gene expression transformation functions: log2 (Quackenbush, 2001 2002), sqrt (Yeung et al., 2001), boxcox, inverse hyperbolic sine transformation, transformation results qualitatively different patterns. Nevertheless, resulting pattern statistical significance can tested using either FlatLineTest(), ReductiveHourglassTest(), EarlyConservationTest() (Drost et al., 2015) quantify significance observed patterns. tf() function takes standard PhyloExpressionSet DivergenceExpressionSet transformation function returns corresponding ExpressionSet transformed gene expression levels. transforming ExpressionMatrix PhyloExpressionSetExample using different transformation functions, resulting phylotranscriptomic patterns qualitatively differ:","code":"library(myTAI)  data(PhyloExpressionSetExample)  # a simple example is to transform the gene expression levels of a given PhyloExpressionSet # using a sqrt or log2 transformation  PES.sqrt <- tf(PhyloExpressionSetExample, sqrt)  head(PES.sqrt) #>   Phylostratum      GeneID    Zygote  Quadrant  Globular     Heart   Torpedo      Bent   Mature #> 1            1 at1g01040.2  46.62226  43.71728  33.94930  35.93637  31.62678  31.03187 41.18771 #> 2            1 at1g01050.1  38.74292  42.62990  40.80820  39.55706  38.68230  33.38628 32.73615 #> 3            1 at1g01070.1  34.82517  35.11413  30.64637  30.48966  29.39759  29.61766 29.91352 #> 4            1 at1g01080.2  31.88919  30.60039  34.37060  36.46195  37.31813  35.88836 29.34724 #> 5            1 at1g01090.1 106.88576 129.53057 185.38244 199.43831 237.13197 258.80566 88.16213 #> 6            1 at1g01120.1  29.05239  28.06409  29.31939  30.52242  30.70579  29.50021 28.15589 PES.log2 <- tf(PhyloExpressionSetExample, log2)  head(PES.log2) Phylostratum      GeneID    Zygote  Quadrant  Globular     Heart   Torpedo      Bent    Mature 1            1 at1g01040.2 11.085894 10.900263 10.170620 10.334745  9.966149  9.911358 10.728284 2            1 at1g01050.1 10.551722 10.827588 10.701574 10.611727 10.547204 10.122367 10.065625 3            1 at1g01070.1 10.244117 10.267960  9.875289  9.860497  9.755251  9.776772  9.805452 4            1 at1g01080.2  9.989991  9.870956 10.206206 10.376639 10.443610 10.330888  9.750306 5            1 at1g01090.1 13.479852 14.034298 15.068722 15.279598 15.779093 16.031451 12.924174 6            1 at1g01120.1  9.721170  9.621306  9.747567  9.863595  9.880877  9.765307  9.630730 # in case a given PhyloExpressionSet already stores gene expression levels # that are log2 transformed and need to be re-transformed to absolute # expression levels, to perform subsequent phylotranscriptomics analyses # (that are defined for absolute expression levels),  # one can re-transform a PhyloExpressionSet like this:  PES.absolute <- tf(PES.log2 , function(x) 2^x)  # which should be the same as  PhyloExpressionSetExample : head(PhyloExpressionSetExample) head(PES.absolute) > head(PhyloExpressionSetExample)   Phylostratum      GeneID     Zygote   Quadrant   Globular      Heart    Torpedo       Bent    Mature 1            1 at1g01040.2  2173.6352  1911.2001  1152.5553  1291.4224  1000.2529   962.9772 1696.4274 2            1 at1g01050.1  1501.0141  1817.3086  1665.3089  1564.7612  1496.3207  1114.6435 1071.6555 3            1 at1g01070.1  1212.7927  1233.0023   939.2000   929.6195   864.2180   877.2060  894.8189 4            1 at1g01080.2  1016.9203   936.3837  1181.3381  1329.4734  1392.6429  1287.9746  861.2605 5            1 at1g01090.1 11424.5667 16778.1685 34366.6493 39775.6405 56231.5689 66980.3673 7772.5617 6            1 at1g01120.1   844.0414   787.5929   859.6267   931.6180   942.8453   870.2625  792.7542 > head(PES.absolute)   Phylostratum      GeneID     Zygote   Quadrant   Globular      Heart    Torpedo       Bent    Mature 1            1 at1g01040.2  2173.6352  1911.2001  1152.5553  1291.4224  1000.2529   962.9772 1696.4274 2            1 at1g01050.1  1501.0141  1817.3086  1665.3089  1564.7612  1496.3207  1114.6435 1071.6555 3            1 at1g01070.1  1212.7927  1233.0023   939.2000   929.6195   864.2180   877.2060  894.8189 4            1 at1g01080.2  1016.9203   936.3837  1181.3381  1329.4734  1392.6429  1287.9746  861.2605 5            1 at1g01090.1 11424.5667 16778.1685 34366.6493 39775.6405 56231.5689 66980.3673 7772.5617 6            1 at1g01120.1   844.0414   787.5929   859.6267   931.6180   942.8453   870.2625  792.7542"},{"path":"https://drostlab.github.io/myTAI/articles/Intermediate.html","id":"log2-transformation-tai","dir":"Articles","previous_headings":"Data Transformation","what":"log2 transformation (TAI)","title":"Intermediate Phylotranscriptomics Analyses","text":"","code":"data(PhyloExpressionSetExample) # plotting the TAI using log2 transformed expression levels # and performing the Flat Line Test to obtain the p-value PlotSignature( ExpressionSet = tf(PhyloExpressionSetExample, log2),                TestStatistic = \"FlatLineTest\",                xlab          = \"Ontogeny\",                 ylab          = \"TAI\" )"},{"path":"https://drostlab.github.io/myTAI/articles/Intermediate.html","id":"sqrt-transformation-tai","dir":"Articles","previous_headings":"Data Transformation","what":"sqrt transformation (TAI)","title":"Intermediate Phylotranscriptomics Analyses","text":"PhyloExpressionSetExample transformations result significant phylotranscriptomics pattern deviating flat line. Nevertheless, clear transformation appropriate one since original TAI TDI measure defined absolute expression levels. accounts TDI profiles:","code":"data(PhyloExpressionSetExample) # plotting the TAI using sqrt transformed expression levels # and performing the Flat Line Test to obtain the p-value PlotSignature( ExpressionSet = tf(PhyloExpressionSetExample, sqrt),                TestStatistic = \"FlatLineTest\",                xlab          = \"Ontogeny\",                 ylab          = \"TAI\" )"},{"path":"https://drostlab.github.io/myTAI/articles/Intermediate.html","id":"log2-transformation-tdi","dir":"Articles","previous_headings":"Data Transformation","what":"log2 transformation (TDI)","title":"Intermediate Phylotranscriptomics Analyses","text":"","code":"data(DivergenceExpressionSetExample) # plotting the TDI using log2 transformed expression levels # and performing the Flat Line Test to obtain the p-value PlotSignature( ExpressionSet = tf(DivergenceExpressionSetExample, log2),                TestStatistic = \"FlatLineTest\",                xlab          = \"Ontogeny\",                 ylab          = \"TDI\" )"},{"path":"https://drostlab.github.io/myTAI/articles/Intermediate.html","id":"sqrt-transformation-tdi","dir":"Articles","previous_headings":"Data Transformation","what":"sqrt transformation (TDI)","title":"Intermediate Phylotranscriptomics Analyses","text":"result, observed patterns always quantified using statistical tests (ex. FlatLineTest(), ReductiveHourglassTest(), EarlyConservationTest()). case observed pattern significant, qualitative differences observed patterns based different data transformations must investigated detail, since data transformations known cause different effects measure isn’t robust data transformations.","code":"data(DivergenceExpressionSetExample) # plotting the TDI using sqrt transformed expression levels # and performing the Flat Line Test to obtain the p-value PlotSignature( ExpressionSet = tf(DivergenceExpressionSetExample, sqrt),                TestStatistic = \"FlatLineTest\",                xlab          = \"Ontogeny\",                 ylab          = \"TDI\" )"},{"path":"https://drostlab.github.io/myTAI/articles/Intermediate.html","id":"references","dir":"Articles","previous_headings":"","what":"References","title":"Intermediate Phylotranscriptomics Analyses","text":"Domazet-Loso, T. & Tautz, D. phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns. Nature 468, 815-8 (2010). Quint, M. et al. transcriptomic hourglass plant embryogenesis. Nature 490, 98-101 (2012). Drost, H.G. et al. Evidence Active Maintenance Phylotranscriptomic Hourglass Patterns Animal Plant Embryogenesis. Mol. Biol. Evol. 32 (5), 1221-1231 (2015). Piasecka, B. et al. hourglass early conservation models - co-existing patterns developmental constraints vertebrates. PLoS Genet. 9:e1003476 (2013). Quackenbush, J. Computational Analysis Microarray Data. Nature Reviews. 2, 418-427 (2001). Quackenbush, J. Microarray data normalization transformation. Nature Genetics. 32, 496-501 (2002). Yeung, K.Y. et al. Model-based clustering data transformations gene expression data. Bioinformatics. 17, 977-987 (2001). Yeung, K.Y. et al. Supplement Model-based clustering data transformations gene expression data - Data Transformations Gaussian mixture assumption. Bioinformatics. 17, 977-987 (2001).","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"table-of-contents","dir":"Articles","previous_headings":"","what":"Table of Contents","title":"Introduction to the myTAI package","text":"Scientific Introduction Installation Motivation Retrieval phylogenetic taxonomic information Defining input data standards Performing Standard Workflow Evolutionary Transcriptomics Analyses","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"scientific-introduction-performing-evolutionary-transcriptomics-with-r","dir":"Articles","previous_headings":"Table of Contents","what":"Scientific Introduction: Performing Evolutionary Transcriptomics with R","title":"Introduction to the myTAI package","text":"Quantifying transcriptome conservation transcriptome diversity patterns within biological process interest allows researchers extend classic transcriptome study addressing question particular developmental stage environmental response timing organized observed way. done retrieving evolutionary age estimates protein coding genes variety gene age inference methods (see ) adding gene age information classic gene expression table. Dedicated transcriptome age quantification procedures implemented myTAI package allow capture average transcriptome age developmental stage environmental response stage hand. Finally, rigorous statistical assessment observed transcriptome age patterns allows researchers gain greater confidence robustness observed patterns, ultimately facilitating selection promising candidate genes molecular functional studies.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"package-dependencies","dir":"Articles","previous_headings":"Table of Contents > Installation","what":"Package dependencies","title":"Introduction to the myTAI package","text":"users interested performing differential gene expression analyses myTAI, may install edgeR package. Users can download myTAI CRAN :","code":"# install myTAI from CRAN install.packages(\"myTAI\", dependencies = TRUE)"},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"motivation","dir":"Articles","previous_headings":"Table of Contents","what":"Motivation","title":"Introduction to the myTAI package","text":"Using embryo development plant Arabidopsis thaliana example, ask user imagine one investigate differences developmental transcriptomes across developmental stages.  Figure 1: Gene expression distributions (= developmental transcriptome) throughout seven stages . thaliana embryo development. Embryo development divided three phases: early embryogenesis (purple), mid-embryogenesis (green), late embryogenesis (brown). boxplot illustrates overall distributions log2 expression levels (y-axis) hardly differ developmental stages (x-axis) although difference global scale statistically significant (Kruskal-Wallis Rank Sum Test: p < 2e-16). Hence, clear visual pattern gene expression differences early, mid, late embryogenesis global scale can inferred. Adapted Drost, 2016. objective performing evolutionary transcriptomics studies classify transcriptome different categories genes sharing similar evolutionary origins (detectable homologs) genes share similar phylogenetic relationships (orthologous genes) study overall expression patterns classified genes throughout biological process interest. Thus, introducing phylogenetic taxonomic variable transcriptome dataset, can determine stages time points stronger constraints others, indicating switches biological programs functions.  Figure 2: Gene expression distributions (= developmental transcriptome) throughout seven stages . thaliana embryo development classified distinctive age categories. box represents developmental stage . thaliana embryogenesis, y-axis denotes log2 expression levels genes fall corresponding age category shown x-axis. Hence, boxplot represents gene expression distribution genes classified corresponding age class specific developmental stage. gene age distribution . thaliana genes range PS1 PS12 PS1 represents evolutionarily distant age category (cellular org.) PS12 evolutionary recent age category (. thaliana specific). Yellow dots boxplots denote mean expression level corresponding expression distribution. visualization illustrates although global gene expression distributions change visually developmental stages (Fig. 1), global gene expression distributions age categories differ stages . thaliana embryo development, thus, allow studying effect transcriptome evolution conservation embryo development. Adapted Drost, 2016. Conceptually, idea behind evolutionary transcriptomics studies combine phylogenetic relationship species (usually retrieved comparative genomics studies terms gene homology confirmed sequence identity) transcriptome data reference species quantifying particular biological process interest (e.g. mutant gene expression versus WT gene expression, stress responses, cell differentiation, development, etc.). Usually, transcriptome data comes Next Generation Sequencing technologies RNA-Seq Microarray experiments. Phylogenetic Information + Transcriptome Data words: Comparative Genomics + Transcriptomics = Evolutionary Transcriptomics theory, published newly generated transcriptome dataset can used capture evolutionary signatures myTAI. myTAI designed receive phylogenetic information obtained comparative genomics data transcriptome data input internally combines datasets perform evolutionary transcriptomics analyses.  Figure 3: Workflow describing input output myTAI package. myTAI package takes phylogenetic information phylogenetic trees (see Dunn, 2013 ), genomic phylostratigraphy based gene age inference (see Domazet-Loso et al., 2007; Capra et al., 2013; Liebeskind et al., 2016 ), dNdS estimation orthologous genes (see Quint, Drost et al., 2012 Drost et al., 2015), phylogenetic reconciliation (see Doyon et al, 2011 ) RNA-Seq Microarray based transcriptome dataset input. Internally, myTAI combines phylogenetic data transcriptome data provides numerous functions perform evolutionary transcriptomics analyses. , exemplify output functions PlotSignature(), PlotRE() PlotCategoryExpr().","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"retrieval-of-phylogenetic-or-taxonomic-information","dir":"Articles","previous_headings":"Table of Contents","what":"Retrieval of phylogenetic or taxonomic information","title":"Introduction to the myTAI package","text":"comparative genomics part different methods tools quantify sequence homology genes, miRNAs, lncRNAs etc reference species related species. example, phylogenetic taxonomic information retrieval phylogenetic trees, genomic phylostratigraphy based gene age inference, dNdS estimation orthologous genes phylogenetic reconciliation can used. users can find recent tools resources retrieving computing phylogenetic taxonomic relationships organism interest. Generate retrieve phylostratigraphic maps: GenEra: fast, easy--use highly customizable command-line tool estimates gene-family founder events. Please consult paper information homology detection failure methodological considerations compared previous approaches (Barrera-Redondo et al., 2023). Users can also use GenEra generating phylostratigraphic maps based protein structure similarity, using Foldseek. See processing output myTAI. orthomap: python package extract orthologous maps (words evolutionary age given orthologous group) OrthoFinder/eggNOG/PLAZA results. See also one can use myTAI function within orthomap python. GenOrigin: GenOrigin inferred gene age information 9,102,113 genes 565 species R package: phylostratr implements Phylostratigraphy R package - Please consult Vignettes examples. R package: fagin: synteny-based phylostratigraphy finer classification young genes (see also corresponding manuscript example applications) createPSmap.pl: generate phylostratigraphic map (implemented Alexander Gabel) phylostratigraphy.pl: generate phylostratigraphic (implemented Cheng et al. 2015) phylo_pipeline.py: Python script generate phylostratigraphic map (implemented Shuqing Xu) Genomic-phylostratigraphy-tool: Python script generate phylostratigraphic map (implemented Longjun Wu) ORFanFinder: generate phylostratigraphic map Protein Historian: generate gene age map download pre-computed published phylostratigraphic maps phylomapR: quick retrieval precomputed gene age maps (phylomaps) R easy integration myTAI. Liebeskind et al., 2016: use gene age consensus approach estimating gene ages model organisms orthoscape: cytoscape application grouping visualization KEGG based gene networks taxonomy homology principles (implemented Mustafin et al., 2017) RecBlast: Cloud-Based Large Scale Orthology Detection (Efrat Rapoport Moran Neuhof) protTrace: simulation based framework estimate evolutionary traceability protein","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"dnds-estimation-of-orthologous-genes","dir":"Articles","previous_headings":"Table of Contents > Retrieval of phylogenetic or taxonomic information","what":"dNdS estimation of orthologous genes","title":"Introduction to the myTAI package","text":"recently proposed use classical dNdS measure quantify sequence conservation protein coding genes closely related species. way, combine information selective pressure acting particular gene expression level particular time point condition. refer approach Divergence Stratigraphy (Drost et al., 2015 Mol. Biol. Evol.). Analogous gene age inference methods, divergence stratigraphy generates table storing sequence conservation estimate first column corresponding gene id organism interest second column. table named divergence stratigraphic map. Generate retrieve divergence stratigraphic maps: orthologr: generate divergence stratigraphic map (implemented Hajk-Georg Drost) compute_dNdS.pl: generate divergence stratigraphic map (implemented Cheng et al. 2015) MetaPhOrs: retrieve phylogeny-based orthology paralogy predictions download pre-computed published divergence stratigraphic maps orthoscape: cytoscape application grouping visualization KEGG based gene networks taxonomy homology principles (implemented Mustafin et al., 2017) RecBlast: Cloud-Based Large Scale Orthology Detection (Efrat Rapoport Moran Neuhof)","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"generate-custom-table","dir":"Articles","previous_headings":"Table of Contents > Retrieval of phylogenetic or taxonomic information","what":"Generate custom table","title":"Introduction to the myTAI package","text":"general, users can construct gene age assignment methods limited methods listed . formatting corresponding results age map specification (age assignment first column gene id second column), users can use function myTAI custom gene age assignment table.","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"getting-started-with-mytai","dir":"Articles","previous_headings":"Table of Contents","what":"Getting Started with myTAI","title":"Introduction to the myTAI package","text":"myTAI takes age map expression dataset input combines tables quantify transcriptome conservation biological process interest.","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"defining-input-data-standards","dir":"Articles","previous_headings":"Table of Contents > Getting Started with myTAI","what":"Defining input data standards","title":"Introduction to the myTAI package","text":"following code illustrates example structure age map. choose genomic phylostratigraphy dNdS estimation method generate phylostratigraphic map divergence stratigraphic map: detail, phylostratigraphic map stores gene age assignment generated e.g. phylostratigraphy first columns corresponding gene id second column. Analogously, divergence stratigraphic map stores gene age assignment generated e.g. divergence stratigraphy first column corresponding gene id second column: Hence, myTAI relies pre-computed age maps fulfilling aforementioned standard downstream analyses. matter whether age maps contain categorized age values like phylostratigraphic maps e.g. phylogenetic distance values generated phylogenetic inference.","code":"# load myTAI library(myTAI)  # load example data sets (stored in myTAI) data(PhyloExpressionSetExample) data(DivergenceExpressionSetExample)  # show an example phylostratigraphic map of Arabidopsis thaliana head(PhyloExpressionSetExample[ , c(\"Phylostratum\",\"GeneID\")]) Phylostratum      GeneID 1            1 at1g01040.2 2            1 at1g01050.1 3            1 at1g01070.1 4            1 at1g01080.2 5            1 at1g01090.1 6            1 at1g01120.1 # show an example structure of a Divergence Map head(DivergenceExpressionSetExample[ , c(\"Divergence.stratum\",\"GeneID\")]) Divergence.stratum      GeneID 1                  1 at1g01050.1 2                  1 at1g01120.1 3                  1 at1g01140.3 4                  1 at1g01170.1 5                  1 at1g01230.1 6                  1 at1g01540.2"},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"expression-dataset-specification","dir":"Articles","previous_headings":"Table of Contents > Getting Started with myTAI","what":"Expression dataset specification","title":"Introduction to the myTAI package","text":"aim evolutionary transcriptomics study quantify transcriptome conservation biological processes. purpose, users need provide transcriptome dataset studied biological process. following examples use gene expression dataset covering seven stages Arabidopsis thaliana embryo development. data format defined ExpressionMatrix myTAI data format specification. function MatchMap() allows users join phylostratigraphic map ExpressionMatrix obtain joined table referred PhyloExpressionSet. cases, GeneIDs stored ExpressionMatrix phylostratigraphic map match. due GeneID mappings different databases annotations. map non matching GeneIDs databases annotations, please consult Functional Annotation Vignette biomartr package. biomartr package allows users map GeneIDs database annotations. matching phylostratigraphic map ExpressionMatrix using MatchMap() function, standard PhyloExpressionSet returned storing phylostratum assignment given gene first column, gene id corresponding gene second column, entire gene expression set (time series treatments) starting third column. format crucial functions implemented myTAI package. Analogous standard PhyloExpressionSet, standard DivergenceExpressionSet data.frame storing divergence stratum assignment given gene first column, gene id corresponding gene second column, entire gene expression set (time series treatments) starting third column. following DivergenceExpressionSet example illustrates standard DivergenceExpressionSet data set format. DivergenceExpressionSet defines joined table divergence stratigraphic map Expression Set. DivergenceExpressionSet can generated analogous PhyloExpressionSet joining divergence stratigraphic map ExpressionMatrix using MatchMap() function. cases, GeneIDs stored ExpressionMatrix divergence stratigraphic map match. due GeneID mappings different databases annotations. map non matching GeneIDs databases annotations, please consult Functional Annotation Vignette biomartr package. function implemented myTAI checks internally whether PhyloExpressionSet DivergenceExpressionSet standard fulfilled. case PhyloExpressionSet standard violated, .ExpressionSet() function return FALSE corresponding function within myTAI package return error message. might work tibble object recognized .ExpressionSet. case, please convert tibble object data.frame using function .data.frame(). PhyloExpressionSet DivergenceExpressionSet formats crucial functions implemented myTAI package. Keeping standard data formats mind provide users important requirements get started myTAI package. Note, within code function, argument ExpressionSet always refers either PhyloExpressionSet DivergenceExpressionSet, whereas specialized functions arguments specified PhyloExpressionSet take PhyloExpressionSet input data set, specified DivergenceExpressionSet take DivergenceExpressionSet input data set.","code":"# gene expression set         GeneID     Zygote   Quadrant   Globular      Heart    Torpedo       Bent    Mature 1 at1g01040.2  2173.6352  1911.2001  1152.5553  1291.4224  1000.2529   962.9772 1696.4274 2 at1g01050.1  1501.0141  1817.3086  1665.3089  1564.7612  1496.3207  1114.6435 1071.6555 3 at1g01070.1  1212.7927  1233.0023   939.2000   929.6195   864.2180   877.2060  894.8189 4 at1g01080.2  1016.9203   936.3837  1181.3381  1329.4734  1392.6429  1287.9746  861.2605 5 at1g01090.1 11424.5667 16778.1685 34366.6493 39775.6405 56231.5689 66980.3673 7772.5617 6 at1g01120.1   844.0414   787.5929   859.6267   931.6180   942.8453   870.2625  792.7542 library(myTAI)  # load the example data set data(PhyloExpressionSetExample)  # construct an example Phylostratigraphic Map  Example.PhylostratigraphicMap <- PhyloExpressionSetExample[ , 1:2] # construct an example ExpressionMatrix Example.ExpressionMatrix <- PhyloExpressionSetExample[ , 2:9]  # join a PhylostratigraphicMap with an ExpressionMatrix using MatchMap() Example.PhyloExpressionSet <- MatchMap(Example.PhylostratigraphicMap, Example.ExpressionMatrix)  # look at a standard PhyloExpressionSet head(Example.PhyloExpressionSet, 3) Phylostratum      GeneID    Zygote  Quadrant  Globular    Heart  Torpedo     Bent   Mature 1            4 at1g01010.1  878.2158  828.2301  776.0703 753.9589 775.3377 756.2460 999.9118 2            2 at1g01020.1 1004.9710 1106.2621 1037.5141 939.0830 961.5249 871.4684 997.5953 3            3 at1g01030.1  819.4880  771.6396  810.8717 866.7780 773.7893 747.9941 785.6105 # head of an example standard DivergenceExpressionSet head(DivergenceExpressionSetExample, 3) Divergence.stratum      GeneID    Zygote  Quadrant  Globular    Heart   Torpedo      Bent    Mature 1                  1 at1g01050.1 1501.0141 1817.3086 1665.3089 1564.761 1496.3207 1114.6435 1071.6555 2                  1 at1g01120.1  844.0414  787.5929  859.6267  931.618  942.8453  870.2625  792.7542 3                  1 at1g01140.3 1041.4291  908.3929 1068.8832  967.749 1055.1901 1109.4662  825.4633 # used by all myTAI functions to check the validity of the PhyloExpressionSet standard is.ExpressionSet(PhyloExpressionSetExample) [1] TRUE # used a non standard PhyloExpressionSet head(PhyloExpressionSetExample[ , 2:5], 2) GeneID   Zygote Quadrant Globular 1 at1g01040.2 2173.635 1911.200 1152.555 2 at1g01050.1 1501.014 1817.309 1665.309 is.ExpressionSet(PhyloExpressionSetExample[ , 2:5]) Error in is.ExpressionSet(PhyloExpressionSetExample[, 2:5]) :    The present input object does not fulfill the ExpressionSet standard. # convert any tibble to a data.frame PhyloExpressionSetExample <- as.data.frame(PhyloExpressionSetExample) # now is.ExpressionSet() should return TRUE is.ExpressionSet(PhyloExpressionSetExample)"},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"performing-a-standard-workflow-for-evolutionary-transcriptomics-analyses","dir":"Articles","previous_headings":"Table of Contents","what":"Performing a Standard Workflow for Evolutionary Transcriptomics Analyses","title":"Introduction to the myTAI package","text":"main goal evolutionary transcriptomics study quantify transcriptome conservation particular stage treatment. achieved computing average age genes contribute transcriptome stage treatment. words, multiplying gene age value expression level corresponding gene averaging genes, obtain mean age transcriptome. Hence, can say particular stage genes expressed stage treatment (average) evolutionary age XY. obtain mean age value, several measures introduced:","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"transcriptome-age-index","dir":"Articles","previous_headings":"Table of Contents > Performing a Standard Workflow for Evolutionary Transcriptomics Analyses","what":"Transcriptome Age Index","title":"Introduction to the myTAI package","text":"first measure named Transcriptome Age Index (TAI) introduced Domazet-Loso Tautz, 2010 represents weighted arithmetic mean transcriptome age corresponding developmental stage s. TAIs=∑=1npsi*eis∑=1neisTAI_s = \\sum_{= 1}^n \\frac{ps_i * e_{}}{\\sum_{= 1}^n e_{}} psips_i denotes phylostratum assignment gene ii eise_{} denotes gene expression level gene ii developmental time point ss. lower value TAI describes older transcriptome age, whereas higher value TAI denotes younger transcriptome age. following figure shows TAI computations seven stages . thaliana embryo development. x-axis shows seven stages . thaliana embryo development y-axis shows corresponding mean transcriptome age (TAI) value. lower TAI value older mean transcriptome age higher TAI value younger mean transcriptome age. interpretation TAI values y-axis given next figure.  example, TAI value 3.5 quantifies genes contribute transcriptome particular stage emerged average phylostratum 3 phylostratum 4. Due nature arithmetic mean, value represent true origin individual genes, thus TAI measure helpful screen stages express (average) older younger genes. Subsequent analyses mean expression age categories, relative expression levels, gene expression level distributions age category reveal exact genes age categories generate overall TAI value. obtain detailed overview age categories contribute much developmental stage, gene expression level distributions age category developmental stage can visualized (using PlotCategoryExpr() function). figure shows developmental stages, genes coming PS1-3 (average) expressed genes coming PS4-12. Interestingly, gene expression level distributions PS4-12 become equally distributed towards Torpedo stage marked conserved stage TAI analysis. general trend can visualized using PlotMeans() function. , users observe indeed PS1-3 genes (average) higher expressed PS4-12 genes. Using linear transformation mean expression levels interval [0,1][0,1] (Quint et al., 2012 Drost et al., 2015) can compare mean expression patterns Phylostrata independent actual mean expression magnitude. relative expression level 0 denotes minimum mean expression level compared stages relative expression level 1 denotes maximum mean expression level compared stages. following figure illustrates average gene expression profile phylostratum. Users observe, PS4-12 genes -regulated towards Torpedo stage (marked conserved TAI analysis) -regulated Torpedo stage. cluster gene expression levels PS4-12 genes categorize . thaliana embryogenesis three developmental modules (early, mid, late) cluster young genes (PS4-12) according fold-change pattern: High-Low-Low, High-Low-High, Low-Low-High. result, find two distinct sets young genes: High-high-low low-low-high. Almost none genes high-low-high pattern. Finally, users can perform KEGG GO Term enrichment analyses obtain annotated functions gene sets.","code":"data(PhyloExpressionSetExample) # Plot the Transcriptome Age Index of a given PhyloExpressionSet  # Test Statistic : Flat Line Test (default) PlotSignature( ExpressionSet = PhyloExpressionSetExample,                measure       = \"TAI\",                 TestStatistic = \"FlatLineTest\",                xlab          = \"Ontogeny\",                 ylab          = \"TAI\" ) data(PhyloExpressionSetExample) # category-centered visualization of PS  # specific expression level distributions (log-scale) PlotCategoryExpr(ExpressionSet = PhyloExpressionSetExample,                      legendName    = \"PS\",                      test.stat     = TRUE,                      type          = \"category-centered\",                      distr.type    = \"boxplot\",                      log.expr      = TRUE) data(PhyloExpressionSetExample) # plot evolutionary old PS (PS1-3) vs # evolutionary young PS (PS4-12) PlotMeans(PhyloExpressionSetExample,           Groups = list(c(1:3), c(4:12)),            legendName = \"PS\",           adjust.range = TRUE) data(PhyloExpressionSetExample) # plot evolutionary old PS (PS1-3) vs # evolutionary young PS (PS4-12) PlotRE(PhyloExpressionSetExample,           Groups = list(c(1:3), c(4:12)),            legendName = \"PS\",           adjust.range = TRUE)"},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"transcriptome-divergence-index","dir":"Articles","previous_headings":"Table of Contents > Performing a Standard Workflow for Evolutionary Transcriptomics Analyses","what":"Transcriptome Divergence Index","title":"Introduction to the myTAI package","text":"Analogous TAI measure, Transcriptome Divergence Index (TDI) introduced Quint et al., 2012 Drost et al., 2015 measure average transcriptome selection pressure ss denotes corresponding developmental stage. TDIs=∑=1ndsi*eis∑=1neisTDI_s = \\sum_{= 1}^n \\frac{ds_i * e_{}}{\\sum_{= 1}^n e_{}} dsids_i denotes divergence stratum assignment gene ii eise_{} denotes gene expression level gene ii developmental time point ss. lower value TDI describes conserved transcriptome (terms sequence dissimilarity), whereas higher value TDI denotes variable transcriptome. assess statistical significance introduced measures analyses, developed several test statistics introduced following sections.","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"transcriptome-age-index-analyses","dir":"Articles","previous_headings":"Table of Contents","what":"Transcriptome Age Index Analyses","title":"Introduction to the myTAI package","text":"Evolutionary signatures transcriptomes can captured computing transcriptome indices different measured stages development, combining computed values transcriptome index profile across measured stages, comparing resulting profile flat line. profile significantly deviating flat line indicates absence significant variations computed transcriptome index stage stage. contrast, profile significantly deviating flat line indicates presence significant variations stage stage. refer transcriptome index profile significantly deviating flat line phylotranscriptomic pattern evolutionary signature. Previously, introduced three statistical tests quantify significance observed TAI TDI patterns: Flat Line Test, Reductive Hourglass Test, Reductive Early Conservation Test (Drost et al., 2015). PlotPattern() function introduced following sections main analytics function myTAI. PlotPattern() allows users visualize TAI TDI patterns internally performs following statistical tests assess significance.","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"flat-line-test","dir":"Articles","previous_headings":"Table of Contents > Transcriptome Age Index Analyses","what":"Flat Line Test","title":"Introduction to the myTAI package","text":"PlotSignature() function option TestStatistic = \"FlatLineTest\", first computes TAI (given PhyloExpressionSet argument specification measure = \"TAI\") TDI (given DivergenceExpressionSet argument specification measure = \"TDI\") profile well standard deviation, statistical significance. p-value (p_flt) TAI curve returned FlatLineTest. described documentation PlotSignature() (?PlotSignature ?FlatLineTest), FlatLineTest default statistical test quantify statistical significance observed phylotranscriptomic pattern. detail, test quantifies statistically significant deviation phylotranscriptomic pattern flat line. , define significant deviation phylotranscriptomic pattern flat line evolutionary signature Furthermore, define corresponding stages deviation evolutionary conserved variable (less conserved) depending magnitude TAI corresponding p-values.","code":"data(PhyloExpressionSetExample) # Plot the Transcriptome Age Index of a given PhyloExpressionSet  # Test Statistic : Flat Line Test (default) PlotSignature( ExpressionSet = PhyloExpressionSetExample,                measure       = \"TAI\",                 TestStatistic = \"FlatLineTest\",                xlab          = \"Ontogeny\",                 ylab          = \"TAI\" )"},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"reductive-hourglass-test","dir":"Articles","previous_headings":"Table of Contents > Transcriptome Age Index Analyses","what":"Reductive Hourglass Test","title":"Introduction to the myTAI package","text":"case observed phylotranscriptomic pattern significantly deviates flat line also visually resembles hourglass shape, one can obtain p-value quantifying statistical significance visual hourglass pattern based ReductiveHourglassTest (?ReductiveHourglassTest). Since ReductiveHourglassTest defined priori biological knowledge (Drost et al., 2015), modules argument within ReductiveHourglassTest() function needs specified. Three modules need specified: early-module, phylotypic module (mid), late-module. example divide . thaliana embryo development stored within PhyloExpressionSetExample following three modules: early = stages 1 - 2 (Zygote Quadrant) mid = stages 3 - 5 (Globular, Heart, Torpedo) late = stages 6 - 7 (Bent Mature) corresponding p-value p_rht now denotes p-value returned ReductiveHourglassTest different p-value returned FlatLineTest (p_flt). make sure correct modules selected perform ReductiveHourglassTest, users can use shaded.area argument visualize chosen modules: Note defining priori knowledge ReductiveHourglassTest using modules argument, modules need start stage 1, …, N correspond column position PhyloExpressionSet/DivergenceExpressionSet contrast start position 3, … N + 2. biological context, always clear stages define early, mid, late modules. animal embryogenesis, suggested choose early, mid, late modules according morphological conservation animal embryos (e.g. mid-stage vertebrate embryos seem morphologically conserved). plants, contrast morphological conservation reported thus average expression embryo defective genes used define modules (Drost et al. 2015).","code":"# Plot the Transcriptome Age Index of a given PhyloExpressionSet  # Test Statistic : Reductive Hourglass Test PlotSignature( ExpressionSet = PhyloExpressionSetExample,                measure       = \"TAI\",                TestStatistic = \"ReductiveHourglassTest\",                modules       = list(early = 1:2, mid = 3:5, late = 6:7),                xlab          = \"Ontogeny\",                 ylab          = \"TAI\" ) # Visualize the phylotypic period used for the Reductive Hourglass Test PlotSignature( ExpressionSet = PhyloExpressionSetExample,                measure       = \"TAI\",                TestStatistic = \"ReductiveHourglassTest\",                modules       = list(early = 1:2, mid = 3:5, late = 6:7),                shaded.area   = TRUE,                 xlab          = \"Ontogeny\",                 ylab          = \"TAI\" )"},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"reductive-early-conservation-test","dir":"Articles","previous_headings":"Table of Contents > Transcriptome Age Index Analyses","what":"Reductive Early Conservation Test","title":"Introduction to the myTAI package","text":"third test statistic implemented myTAI package EarlyConservationTest. EarlyConservationTest tests whether observed phylotranscriptomic pattern follows low-high-high pattern (monotonically increasing function) supporting Early Conservation Model embryogenesis. Analogous ReductiveHourglassTest, EarlyConservationTest needs priori biological knowledge Drost et al., 2015. three modules specified EarlyConservationTest() function. Three modules need specified: early-module, phylotypic module (mid), late-module. example divide . thaliana embryo development stored within PhyloExpressionSetExample following three modules: early = stages 1 - 2 (Zygote Quadrant) mid = stages 3 - 5 (Globular, Heart, Torpedo) late = stages 6 - 7 (Bent Mature) corresponding p-value p_ect now denotes p-value returned EarlyConservationTest different p-value returned FlatLineTest (p_flt) ReductiveHourglassTest (p_rht). Since present TAI pattern PhyloExpressionSetExample doesn’t support Early Conservation Hypothesis, p-value p_ect = 1. note defining priori knowledge EarlyConservationTest using modules argument, modules need start stage 1, …, N correspond column position PhyloExpressionSet/DivergenceExpressionSet contrast start position 3, … N + 2. obtain numerical TAI values, TAI() function can used:","code":"# Plot the Transcriptome Age Index of a given PhyloExpressionSet  # Test Statistic : Reductive Early Conservation Test PlotSignature( ExpressionSet = PhyloExpressionSetExample,                measure       = \"TAI\",                TestStatistic = \"EarlyConservationTest\",                modules       = list(early = 1:2, mid = 3:5, late = 6:7),                xlab          = \"Ontogeny\",                 ylab          = \"TAI\" ) # Compute the Transcriptome Age Index values of a given PhyloExpressionSet TAI(PhyloExpressionSetExample) Zygote Quadrant Globular    Heart  Torpedo     Bent   Mature  3.229942 3.225614 3.107135 3.116693 3.073993 3.176511 3.390334"},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"reverse-hourglass-test","dir":"Articles","previous_headings":"Table of Contents > Transcriptome Age Index Analyses","what":"Reverse Hourglass Test","title":"Introduction to the myTAI package","text":"case observed phylotranscriptomic pattern significantly deviates flat line also visually resembles reverse hourglass shape (low-high-low pattern), one can obtain p-value quantifying statistical significance visual reverse hourglass pattern based ReverseHourglassTest (?ReverseHourglassTest). Since ReverseHourglassTest defined priori biological knowledge (Drost et al., 2015), modules argument within ReverseHourglassTest() function needs specified. Three modules need specified: early-module, phylotypic module (mid), late-module. example divide . thaliana embryo development stored within PhyloExpressionSetExample following three modules: early = stages 1 - 2 (Zygote Quadrant) mid = stages 3 - 5 (Globular, Heart, Torpedo) late = stages 6 - 7 (Bent Mature) corresponding p-value p_reverse_hourglass now denotes p-value returned ReverseHourglassTest different p-value returned FlatLineTest (p_flt). make sure correct modules selected perform ReverseHourglassTest, users can use shaded.area argument visualize chosen modules: Note defining priori knowledge ReverseHourglassTest using modules argument, modules need start stage 1, …, N correspond column position PhyloExpressionSet/DivergenceExpressionSet contrast start position 3, … N + 2. biological context, always clear stages define early, mid, late modules. animal embryogenesis, suggested choose early, mid, late modules according morphological conservation animal embryos (e.g. mid-stage vertebrate embryos seem morphologically conserved). plants, contrast morphological conservation reported thus average expression embryo defective genes used define modules (Drost et al. 2015).","code":"# Plot the Transcriptome Age Index of a given PhyloExpressionSet  # Test Statistic : Reverse Hourglass Test PlotSignature( ExpressionSet = PhyloExpressionSetExample,                measure       = \"TAI\",                TestStatistic = \"ReverseHourglassTest\",                modules       = list(early = 1:2, mid = 3:5, late = 6:7),                xlab          = \"Ontogeny\",                 ylab          = \"TAI\" ) # Visualize the phylotypic period used for the Reductive Hourglass Test PlotSignature( ExpressionSet = PhyloExpressionSetExample,                measure       = \"TAI\",                TestStatistic = \"ReverseHourglassTest\",                modules       = list(early = 1:2, mid = 3:5, late = 6:7),                shaded.area   = TRUE,                 xlab          = \"Ontogeny\",                 ylab          = \"TAI\" )"},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"transcriptome-divergence-index-analyses","dir":"Articles","previous_headings":"Table of Contents","what":"Transcriptome Divergence Index Analyses","title":"Introduction to the myTAI package","text":"Analogous TAI computations visualization, TDI computations can performed similar fashion: , ReductiveHourglassTest divide . thaliana embryo development three modules: early = stages 1 - 2 (Zygote Quadrant) mid = stages 3 - 5 (Globular, Heart, Torpedo) late = stages 6 - 7 (Bent Mature) EarlyConservationTest divide . thaliana embryo development three modules: early = stages 1 - 2 (Zygote Quadrant) mid = stages 3 - 5 (Globular, Heart, Torpedo) late = stages 6 - 7 (Bent Mature) obtain numerical TDI values given DivergenceExpressionSet simply run:","code":"data(DivergenceExpressionSetExample) # Plot the Transcriptome Divergence Index of a given DivergenceExpressionSet  # Test Statistic : Flat Line Test (default) PlotSignature( ExpressionSet = DivergenceExpressionSetExample,                measure       = \"TDI\",                TestStatistic = \"FlatLineTest\",                xlab          = \"Ontogeny\",                 ylab          = \"TDI\" ) data(DivergenceExpressionSetExample) # Plot the Transcriptome Divergence Index of a given DivergenceExpressionSet  # Test Statistic : Reductive Hourglass Test PlotSignature( ExpressionSet = DivergenceExpressionSetExample,                measure       = \"TDI\",                TestStatistic = \"ReductiveHourglassTest\",                modules       = list(early = 1:2, mid = 3:5, late = 6:7),                xlab          = \"Ontogeny\",                 ylab          = \"TDI\" ) data(DivergenceExpressionSetExample) # Plot the Transcriptome Divergence Index of a given DivergenceExpressionSet  # Test Statistic : Reductive Early Conservation Test PlotSignature( ExpressionSet = DivergenceExpressionSetExample,                measure       = \"TDI\",                TestStatistic = \"EarlyConservationTest\",                modules       = list(early = 1:2, mid = 3:5, late = 6:7),                xlab          = \"Ontogeny\",                 ylab          = \"TDI\" ) # Compute the Transcriptome Divergence Index values of a given DivergenceExpressionSet TDI(DivergenceExpressionSetExample) Zygote Quadrant Globular    Heart  Torpedo     Bent   Mature  4.532029 4.563200 4.485705 4.500868 4.466477 4.530704 4.690292"},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"phylostratum-or-divergence-stratum-specific-contribution-to-the-global-transcriptome-index-profile","dir":"Articles","previous_headings":"Table of Contents > Transcriptome Divergence Index Analyses","what":"Phylostratum or Divergence Stratum specific contribution to the global transcriptome index profile","title":"Introduction to the myTAI package","text":"Another way visualize cumulative contribution Phylostratum Divergence Stratum global Transcriptome Age Index Transcriptome Divergence Index profile introduced Domazet-Loso Tautz, 2010 (Fig. 1b). advantage visualizing cumulative contribution Phylostratum Divergence Stratum global pattern study final (global) TAI TDI profile emerges cumulative TAI/TDI distribution Phylostratum Divergence Stratum. Phylostratum Divergence Stratum specific contribution global TAI TDI pattern can visualized using PlotContribution():","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"example-phylostrata","dir":"Articles","previous_headings":"Table of Contents > Transcriptome Divergence Index Analyses > Phylostratum or Divergence Stratum specific contribution to the global transcriptome index profile","what":"Example: Phylostrata","title":"Introduction to the myTAI package","text":"y.ticks argument allows users adjust number ticks shall visualized y-axis. exact values Phylostratum specific cumulative TAI profiles can obtained using pTAI() function:","code":"data(PhyloExpressionSetExample) # visualize phylostrata contribution to the global TAI pattern  PlotContribution( ExpressionSet = PhyloExpressionSetExample,                    legendName    = \"PS\",                    xlab           = \"Ontogeny\",                    ylab           = \"Transcriptome Age Index\",                    y.ticks        = 10) pTAI(PhyloExpressionSetExample) Zygote  Quadrant  Globular     Heart   Torpedo      Bent    Mature 1  0.3929533 0.3935308 0.4142106 0.4115399 0.4216806 0.4178302 0.3883815 2  0.9521021 0.9547833 0.9748522 0.9674842 0.9632213 0.9285336 0.8661883 3  1.0502814 1.0477016 1.0576104 1.0556300 1.0549156 1.0187303 0.9722031 4  1.3861830 1.3810595 1.3837548 1.3928030 1.3876006 1.3632945 1.3656170 5  1.5527473 1.5489829 1.5360986 1.5500708 1.5468767 1.5531699 1.5769758 6  1.8114772 1.8171167 1.7806803 1.7968463 1.8020203 1.8223456 1.9207232 7  1.8766090 1.8739449 1.8317327 1.8530276 1.8573216 1.8776292 1.9952325 8  1.9417254 1.9357499 1.8877436 1.9089144 1.9117438 1.9478303 2.0778287 9  2.0339192 2.0294517 1.9823091 1.9982678 1.9915249 2.0413791 2.1878074 10 2.4215868 2.4361137 2.3489524 2.3347670 2.3028346 2.3797112 2.5142773 11 2.4900201 2.5079107 2.4104647 2.3980760 2.3651571 2.4422093 2.5961316 12 3.2299418 3.2256139 3.1071348 3.1166934 3.0739935 3.1765113 3.3903336"},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"example-divergence-strata","dir":"Articles","previous_headings":"Table of Contents > Transcriptome Divergence Index Analyses > Phylostratum or Divergence Stratum specific contribution to the global transcriptome index profile","what":"Example: Divergence Strata","title":"Introduction to the myTAI package","text":"Analogously, Divergence Stratum specific influence global TDI pattern can visualized using: exact values Divergence Stratum specific cumulative TDI values can obtained using pTDI() function: cases (Phylostrata Divergence Strata) pTAI() pTDI() functions return numeric matrix storing cumulative TAI TDI values Phylostratum Divergence Stratum. Note, TAI values Phylostratum 12 (pTAI() matrix) equivalent TAI(PhyloExpressionSetExample). can explained definition TAI. sum partial TAI values Phylostrata equals global TAI values: Now, PlotContribution() differs apply(pStrata(PhyloExpressionSetExample) , 2 , sum) exchanging sum() cumsum(). pTAI() matrix visualized inside PlotContribution(). Note pStrata() function returns partial TAI TDI values Phylostratum Divergence Stratum, whereas pMatrix() returns partial TAI TDI value gene. can receive gene specific partial TAI values typing pMatrix(PhyloExpressionSetExample). Analogously, pStrata() pMatrix() can used Divergence Strata substituting PhyloExpressionSetExample DivergenceExpressionSetExample.","code":"data(DivergenceExpressionSetExample) # visualize divergence stratum contribution to global TDI  PlotContribution( ExpressionSet = DivergenceExpressionSetExample,                    legendName    = \"DS\") pTDI(DivergenceExpressionSetExample) Zygote  Quadrant  Globular     Heart   Torpedo      Bent    Mature 1  0.2174378 0.2207644 0.2309211 0.2214881 0.2195601 0.2047938 0.1704023 2  0.4800055 0.4762352 0.4821244 0.4752145 0.4799418 0.4695871 0.4288670 3  0.7742988 0.7597816 0.7797646 0.7826244 0.8033702 0.8034316 0.7769026 4  1.1463780 1.1285545 1.1408903 1.1528497 1.1694967 1.1784113 1.1933157 5  1.5652686 1.5489672 1.5545589 1.5698173 1.5934158 1.6003011 1.6330444 6  2.0899161 2.0609661 2.0666314 2.1015199 2.1163138 2.1306059 2.1932280 7  2.6262330 2.6035894 2.6012719 2.6453427 2.6477490 2.6664143 2.8085434 8  3.2211299 3.1990804 3.1767694 3.2319604 3.2292835 3.2693046 3.4412353 9  3.8396769 3.8299654 3.7793476 3.8353941 3.8272391 3.8971210 4.0753877 10 4.5320286 4.5632002 4.4857052 4.5008685 4.4664774 4.5307040 4.6902921 # show that the cumulative TAI value of PS 12 is # equivalent to the global TAI() values pTAI(PhyloExpressionSetExample)[12 , ]  # >  Zygote Quadrant Globular    Heart  Torpedo     Bent   Mature  # > 3.229942 3.225614 3.107135 3.116693 3.073993 3.176511 3.390334   TAI(PhyloExpressionSetExample)  # >  Zygote Quadrant Globular    Heart  Torpedo     Bent   Mature  # > 3.229942 3.225614 3.107135 3.116693 3.073993 3.176511 3.390334 # show that the colSum() of partial TAI values # over all Phylostrata equals the global TAI() values apply(pStrata(PhyloExpressionSetExample) , 2 , sum)  # >  Zygote Quadrant Globular    Heart  Torpedo     Bent   Mature  # > 3.229942 3.225614 3.107135 3.116693 3.073993 3.176511 3.390334 # show that apply(pStrata(PhyloExpressionSetExample) , 2 , cumsum) # is equivalent to pTAI() apply(pStrata(PhyloExpressionSetExample) , 2 , cumsum) Zygote  Quadrant  Globular     Heart   Torpedo      Bent    Mature 1  0.3929533 0.3935308 0.4142106 0.4115399 0.4216806 0.4178302 0.3883815 2  0.9521021 0.9547833 0.9748522 0.9674842 0.9632213 0.9285336 0.8661883 3  1.0502814 1.0477016 1.0576104 1.0556300 1.0549156 1.0187303 0.9722031 4  1.3861830 1.3810595 1.3837548 1.3928030 1.3876006 1.3632945 1.3656170 5  1.5527473 1.5489829 1.5360986 1.5500708 1.5468767 1.5531699 1.5769758 6  1.8114772 1.8171167 1.7806803 1.7968463 1.8020203 1.8223456 1.9207232 7  1.8766090 1.8739449 1.8317327 1.8530276 1.8573216 1.8776292 1.9952325 8  1.9417254 1.9357499 1.8877436 1.9089144 1.9117438 1.9478303 2.0778287 9  2.0339192 2.0294517 1.9823091 1.9982678 1.9915249 2.0413791 2.1878074 10 2.4215868 2.4361137 2.3489524 2.3347670 2.3028346 2.3797112 2.5142773 11 2.4900201 2.5079107 2.4104647 2.3980760 2.3651571 2.4422093 2.5961316 12 3.2299418 3.2256139 3.1071348 3.1166934 3.0739935 3.1765113 3.3903336 pTAI(PhyloExpressionSetExample) Zygote  Quadrant  Globular     Heart   Torpedo      Bent    Mature 1  0.3929533 0.3935308 0.4142106 0.4115399 0.4216806 0.4178302 0.3883815 2  0.9521021 0.9547833 0.9748522 0.9674842 0.9632213 0.9285336 0.8661883 3  1.0502814 1.0477016 1.0576104 1.0556300 1.0549156 1.0187303 0.9722031 4  1.3861830 1.3810595 1.3837548 1.3928030 1.3876006 1.3632945 1.3656170 5  1.5527473 1.5489829 1.5360986 1.5500708 1.5468767 1.5531699 1.5769758 6  1.8114772 1.8171167 1.7806803 1.7968463 1.8020203 1.8223456 1.9207232 7  1.8766090 1.8739449 1.8317327 1.8530276 1.8573216 1.8776292 1.9952325 8  1.9417254 1.9357499 1.8877436 1.9089144 1.9117438 1.9478303 2.0778287 9  2.0339192 2.0294517 1.9823091 1.9982678 1.9915249 2.0413791 2.1878074 10 2.4215868 2.4361137 2.3489524 2.3347670 2.3028346 2.3797112 2.5142773 11 2.4900201 2.5079107 2.4104647 2.3980760 2.3651571 2.4422093 2.5961316 12 3.2299418 3.2256139 3.1071348 3.1166934 3.0739935 3.1765113 3.3903336 # compute partial TAI values for each Phylostratum pStrata(PhyloExpressionSetExample) Zygote   Quadrant   Globular      Heart    Torpedo       Bent     Mature 1  0.39295331 0.39353082 0.41421061 0.41153988 0.42168061 0.41783018 0.38838151 2  0.55914875 0.56125250 0.56064163 0.55594427 0.54154068 0.51070341 0.47780681 3  0.09817938 0.09291830 0.08275821 0.08814585 0.09169432 0.09019669 0.10601483 4  0.33590159 0.33335787 0.32614435 0.33717297 0.33268496 0.34456426 0.39341385 5  0.16656429 0.16792339 0.15234382 0.15726786 0.15927610 0.18987539 0.21135880 6  0.25872990 0.26813378 0.24458170 0.24677547 0.25514358 0.26917571 0.34374736 7  0.06513175 0.05682826 0.05105236 0.05618130 0.05530130 0.05528356 0.07450933 8  0.06511643 0.06180498 0.05601089 0.05588683 0.05442226 0.07020109 0.08259620 9  0.09219381 0.09370185 0.09456557 0.08935340 0.07978112 0.09354879 0.10997873 10 0.38766762 0.40666192 0.36664326 0.33649918 0.31130963 0.33833215 0.32646984 11 0.06843326 0.07179705 0.06151227 0.06330899 0.06232254 0.06249801 0.08185437 12 0.73992167 0.71770319 0.69667019 0.71861745 0.70883635 0.73430205 0.79420194 # compute partial TAI values for each gene dplyr::glimpse(pMatrix(PhyloExpressionSetExample)) Observations: 25260 Variables: $ Zygote   (dbl) 3.597950e-05, 2.484581e-05, 2.007498e-05, 1.683276e-05, 1.891073e-... $ Quadrant (dbl) 3.203218e-05, 3.045853e-05, 2.066542e-05, 1.569402e-05, 2.812062e-... $ Globular (dbl) 2.013329e-05, 2.909027e-05, 1.640631e-05, 2.063608e-05, 6.003300e-... $ Heart    (dbl) 2.311604e-05, 2.800871e-05, 1.663988e-05, 2.379714e-05, 7.119708e-... $ Torpedo  (dbl) 1.813626e-05, 2.713080e-05, 1.566972e-05, 2.525094e-05, 1.019572e-... $ Bent     (dbl) 1.685284e-05, 1.950712e-05, 1.535178e-05, 2.254055e-05, 1.172208e-... $ Mature   (dbl) 2.684331e-05, 1.695727e-05, 1.415911e-05, 1.362810e-05, 1.229886e-..."},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"mean-expression-and-relative-expression-of-single-phylostrata-or-divergence-strata","dir":"Articles","previous_headings":"Table of Contents > Transcriptome Divergence Index Analyses","what":"Mean Expression and Relative Expression of Single Phylostrata or Divergence Strata","title":"Introduction to the myTAI package","text":"TAI TDI patterns useful gain first insight mean transcriptome age mean sequence divergence genes active corresponding developmental stage experiment. investigate origins global TAI TDI pattern useful visualize mean gene expression Phylostratum Divergence-Stratum class.","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"mean-expression-levels-of-a-phyloexpressionset-and-divergenceexpressionset","dir":"Articles","previous_headings":"Table of Contents > Transcriptome Divergence Index Analyses","what":"Mean Expression Levels of a PhyloExpressionSet and DivergenceExpressionSet","title":"Introduction to the myTAI package","text":"Visualizing mean gene expression genes corresponding Phylostratum Divergence Stratum class allows users detect biological process specific groups Phylostrata Divergence Strata expressed underlying biological process. might lead correlating specific groups Phylostrata Divergence Strata sharing similar evolutionary origins common functions functional contributions specific developmental process. see mean gene expression Phylostratum group: PS1-3 (genes evolved establishment embryogenesis plants) expressed . thaliana embryogenesis PS4-12 (genes evolved establishment embryogenesis plants). different biological processes different Phylostratum groups combination groups might resemble majority expressed genes. PlotMeans() function takes PhyloExpressionSet DivergenceExpressionSet visualizes Phylostratum mean expression levels genes correspond Phylostratum. Groups argument takes list storing Phylostrata (classified group) shall visualized plot. example separate groups Phylostrata evolutionary old Phylostrata (PS1-3) one plot versus evolutionary younger Phylostrata (PS4-12) another plot: obtain numerical values (mean expression levels Phylostrata) run: age.apply() function (?age.apply) takes function argument receives data.frame argument (e.g. colMeans()). Users may also specify shaded area corresponding modules specified using PlotSignature() function. PlotMedians() PlotVars() functions can used visualize median variance expression profiles correspond age categories interest. DivergenceExpressionSet run: obtain numerical values (mean expression levels Divergence Strata) run: PlotMedians() PlotVars() functions can used visualize median variance expression profiles correspond age categories interest. Values can retrieved via age.apply(PhyloExpressionSetExample, function(x) apply(x, 2, median)) age.apply(PhyloExpressionSetExample, function(x) apply(x, 2, var)).","code":"# Visualizing the mean gene expression of each Phylostratum class PlotMeans( ExpressionSet = PhyloExpressionSetExample,             Groups        = list(1:12),             legendName    = \"PS\") # Visualizing the mean gene expression of each Phylostratum class # in two separate plots (groups) PlotMeans( ExpressionSet = PhyloExpressionSetExample,             Groups        = list(group_1 = 1:3, group_2 = 4:12),             legendName    = \"PS\") # Using the age.apply() function to compute the mean expression levels  # of all Phylostrata age.apply( ExpressionSet = PhyloExpressionSetExample,             FUN           = colMeans ) Zygote Quadrant Globular    Heart  Torpedo     Bent   Mature 1  2607.882 2579.372 2604.856 2525.704 2554.825 2622.757 2696.331 2  2597.258 2574.745 2467.679 2388.045 2296.410 2243.716 2321.709 3  2528.272 2363.159 2019.436 2099.079 2155.642 2196.875 2855.866 4  1925.320 1887.078 1771.399 1787.175 1740.823 1867.981 2358.893 5  2378.883 2368.593 2061.729 2077.087 2076.693 2564.904 3157.761 6  1658.253 1697.242 1485.401 1462.613 1492.861 1631.741 2304.683 7  1993.321 1717.659 1480.525 1590.009 1545.078 1600.264 2385.409 8  1781.653 1670.106 1452.180 1414.052 1359.376 1816.718 2364.070 9  1758.119 1764.748 1708.815 1575.727 1388.920 1687.314 2193.930 10 2414.456 2501.390 2163.810 1938.060 1770.039 1993.032 2127.015 11 1999.163 2071.456 1702.779 1710.290 1662.099 1726.865 2501.443 12 2126.189 2036.804 1896.964 1909.578 1859.485 1995.732 2387.343 # Visualizing the mean gene expression of each Phylostratum class # and draw an shaded area for the mid-module. PlotMeans( ExpressionSet = PhyloExpressionSetExample,             Groups        = list(1:12),            modules       = list(1:2,3:5,6:7),            legendName    = \"PS\") data(DivergenceExpressionSetExample) # Visualizing the mean gene expression of each Divergence Stratum class PlotMeans( ExpressionSet = DivergenceExpressionSetExample,             Groups        = list(1:10),             legendName    = \"DS\",            xlab          = \"Ontogeny\") # Using the age.apply() function to compute the mean expression levels # of all Divergence Strata age.apply( ExpressionSet = DivergenceExpressionSetExample,             FUN           = colMeans ) Zygote Quadrant Globular    Heart  Torpedo     Bent   Mature 1  5222.189 5230.547 5254.464 4911.494 4807.936 4654.683 4277.490 2  3146.510 3020.156 2852.072 2807.367 2845.025 3002.967 3237.315 3  2356.008 2239.344 2257.539 2272.270 2360.816 2529.276 2912.164 4  2230.350 2180.706 2050.895 2049.035 2001.043 2127.165 2608.903 5  2014.600 1994.640 1884.899 1851.554 1858.913 1920.185 2210.391 6  2096.593 2018.440 1938.765 1961.828 1905.246 2005.523 2339.767 7  1836.290 1832.815 1734.319 1719.186 1659.044 1736.141 2201.981 8  1784.470 1762.151 1635.529 1624.682 1590.489 1711.439 1983.607 9  1649.254 1659.455 1522.214 1485.560 1453.689 1584.176 1767.276 10 1660.750 1735.086 1605.275 1473.854 1398.067 1438.258 1541.633"},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"relative-expression-levels-of-a-phyloexpressionset-and-divergenceexpressionset","dir":"Articles","previous_headings":"Table of Contents > Transcriptome Divergence Index Analyses","what":"Relative Expression Levels of a PhyloExpressionSet and DivergenceExpressionSet","title":"Introduction to the myTAI package","text":"Introduced Domazet-Loso Tautz, (2010), relative expression levels defined linear transformation mean expression levels (Phylostratum Divergence-Stratum) interval [0,1][0,1] (Quint et al., 2012 Drost et al., 2015). procedure allows users compare mean expression patterns Phylostrata Divergence Strata independent actual magnitude. Hence, relative expression profiles aim correlate mean expression profiles groups Phylostrata Divergence Strata due assumption genes groups genes sharing similar expression profile might regulated similar gene regulatory mechanisms contribute similar biological processes. PlotRE() function can used (analogous PlotMeans() function) visualize relative expression levels given PhyloExpressionSet DivergenceExpressionSet: assigning Phylostratum Divergence Stratum groups shall visualized different plots: Users may also specify shaded area corresponding modules specified using PlotSignature() function. relative expression levels can obtained using REMatrix() function: result also obtained using age.apply() function combination RE() function: Quint et al. (2012) introduced additional way visualizing difference relative expression levels groups Phylostrata/Divergence-Strata. bar plot comparing mean relative expression levels one Phylostratum/Divergence-Stratum group groups can plotted analogous PlotMeans() PlotRE() functions: argument Groups = list(1:3, 4:12) corresponds dividing Phylostrata 1-12 Phylostratum groups defined origin embryogenesis (group one: PS1-3) origin embryogenesis (group two: PS4-12). Kruskal-Wallis Rank Sum Test performed test statistical significance different bars compared. ’*’ corresponds statistically significant difference. Additionally ratio values represented bars compared can visualized function within bar plot using ratio = TRUE argument: also possible compare two groups: corresponding statistically significant stages, Posthoc test can performed detect combinations differing bars cause global statistical significance.","code":"# Visualizing the mean gene expression of each Phylostratum class PlotRE( ExpressionSet = PhyloExpressionSetExample,          Groups        = list(1:12),          legendName    = \"PS\",         xlab          = \"Ontogeny\") data(DivergenceExpressionSetExample) # Visualizing the mean gene expression of each Divergence Stratum class PlotRE( ExpressionSet = DivergenceExpressionSetExample,          Groups        = list(1:10),          legendName    = \"DS\",         xlab          = \"Ontogeny\") # Visualizing the mean gene expression of each Phylostratum class PlotRE( ExpressionSet = PhyloExpressionSetExample,          Groups        = list(group_1 = 1:3, group_2 = 4:12),          legendName    = \"PS\",         xlab          = \"Ontogeny\") # Visualizing the mean gene expression of each Phylostratum class PlotRE( ExpressionSet = PhyloExpressionSetExample,          Groups        = list(1:12),         modules = list(1:2,3:5,6:7),         legendName    = \"PS\",         xlab          = \"Ontogeny\") # Getting the relative expression levels for all Phylostrata REMatrix(PhyloExpressionSetExample) Zygote  Quadrant   Globular      Heart    Torpedo       Bent    Mature 1  0.4816246 0.3145330 0.46389184 0.00000000 0.17067495 0.56880234 1.0000000 2  1.0000000 0.9363209 0.63348381 0.40823711 0.14904726 0.00000000 0.2206063 3  0.6083424 0.4109402 0.00000000 0.09521758 0.16284114 0.21213845 1.0000000 4  0.2985050 0.2366309 0.04946941 0.07499453 0.00000000 0.20573325 1.0000000 5  0.2893657 0.2799777 0.00000000 0.01401191 0.01365328 0.45908792 1.0000000 6  0.2323316 0.2786335 0.02706119 0.00000000 0.03592044 0.20084761 1.0000000 7  0.5666979 0.2620602 0.00000000 0.12099252 0.07133814 0.13232551 1.0000000 8  0.4203039 0.3092784 0.09237036 0.05442042 0.00000000 0.45520558 1.0000000 9  0.4586261 0.4668613 0.39738003 0.23205534 0.00000000 0.37067096 1.0000000 10 0.8811321 1.0000000 0.53841500 0.22974016 0.00000000 0.30490542 0.4881046 11 0.4015809 0.4877111 0.04846721 0.05741594 0.00000000 0.07716367 1.0000000 12 0.5052572 0.3359211 0.07100055 0.09489782 0.00000000 0.25811214 1.0000000 # Getting the relative expression levels for all Divergence-Strata REMatrix(DivergenceExpressionSetExample) Zygote  Quadrant   Globular      Heart    Torpedo      Bent    Mature 1  0.9669643 0.9755188 1.00000000 0.64894653 0.54294759 0.3860827 0.0000000 2  0.7888009 0.4949178 0.10397567 0.00000000 0.08758660 0.4549387 1.0000000 3  0.1733953 0.0000000 0.02704324 0.04893726 0.18054185 0.4309208 1.0000000 4  0.3772372 0.2955661 0.08201140 0.07895260 0.00000000 0.2074848 1.0000000 5  0.4543752 0.3987496 0.09292474 0.00000000 0.02050713 0.1912595 1.0000000 6  0.4403615 0.2605017 0.07713944 0.13021586 0.00000000 0.2307754 1.0000000 7  0.3264585 0.3200581 0.13864386 0.11077270 0.00000000 0.1420009 1.0000000 8  0.4934416 0.4366671 0.11457069 0.08697865 0.00000000 0.3076689 1.0000000 9  0.6236387 0.6561674 0.21851855 0.10163374 0.00000000 0.4161087 1.0000000 10 0.7794318 1.0000000 0.61482564 0.22487531 0.00000000 0.1192539 0.4259882 # Getting the relative expression levels for all Phylostrata age.apply( ExpressionSet = PhyloExpressionSetExample,             FUN           = RE ) Zygote  Quadrant   Globular      Heart    Torpedo       Bent    Mature 1  0.4816246 0.3145330 0.46389184 0.00000000 0.17067495 0.56880234 1.0000000 2  1.0000000 0.9363209 0.63348381 0.40823711 0.14904726 0.00000000 0.2206063 3  0.6083424 0.4109402 0.00000000 0.09521758 0.16284114 0.21213845 1.0000000 4  0.2985050 0.2366309 0.04946941 0.07499453 0.00000000 0.20573325 1.0000000 5  0.2893657 0.2799777 0.00000000 0.01401191 0.01365328 0.45908792 1.0000000 6  0.2323316 0.2786335 0.02706119 0.00000000 0.03592044 0.20084761 1.0000000 7  0.5666979 0.2620602 0.00000000 0.12099252 0.07133814 0.13232551 1.0000000 8  0.4203039 0.3092784 0.09237036 0.05442042 0.00000000 0.45520558 1.0000000 9  0.4586261 0.4668613 0.39738003 0.23205534 0.00000000 0.37067096 1.0000000 10 0.8811321 1.0000000 0.53841500 0.22974016 0.00000000 0.30490542 0.4881046 11 0.4015809 0.4877111 0.04846721 0.05741594 0.00000000 0.07716367 1.0000000 12 0.5052572 0.3359211 0.07100055 0.09489782 0.00000000 0.25811214 1.0000000 # Visualizing the mean relative expression of two Phylostratum groups PlotBarRE( ExpressionSet = PhyloExpressionSetExample,             Groups        = list(group_1 = 1:3, group_2 = 4:12),             xlab          = \"Ontogeny\",             ylab          = \"Mean Relative Expression\",             cex           = 1.5) # Visualizing the mean relative expression of two Phylostratum groups PlotBarRE( ExpressionSet = PhyloExpressionSetExample,             Groups        = list(group_1 = 1:3, group_2 = 4:12),             ratio         = TRUE,            xlab          = \"Ontogeny\",             ylab          = \"Mean Relative Expression\",             cex           = 1.5 ) # Visualizing the mean relative expression of three Phylostratum groups PlotBarRE( ExpressionSet = PhyloExpressionSetExample,             Groups        = list(group_1 = 1:3, group_2 = 4:6, group_3 = 7:12),             wLength       = 0.05,            xlab          = \"Ontogeny\",             ylab          = \"Mean Relative Expression\",             cex           = 1.5 )"},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"visualize-age-distributions","dir":"Articles","previous_headings":"Table of Contents","what":"Visualize age distributions","title":"Introduction to the myTAI package","text":"Users can visualize age distributions using PlotDistribution() function. purpose, PlotDistribution() function implemented: display relative frequencies:","code":"# Display the phylostratum distribution (gene frequency distribution)  # of a PhyloExpressionSet as absolute frequency distribution PlotDistribution( PhyloExpressionSet = PhyloExpressionSetExample,                    xlab               = \"Phylostratum\" ) # Plot phylostrata as relative frequency distribution PlotDistribution( PhyloExpressionSet = PhyloExpressionSetExample,                    as.ratio           = TRUE,                    xlab               = \"Phylostratum\")"},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"saving-plots-on-local-machine","dir":"Articles","previous_headings":"Table of Contents > Visualize age distributions","what":"Saving Plots on Local Machine","title":"Introduction to the myTAI package","text":"save plots generated myTAI local machine users can use following functions implemented R language: png, pdf, svg. using ggplot2 based functions PlotSignature(), PlotMeans(), PlotRE(), etc. users can rely cowplot package.","code":"# save the TAI profile to a local machine with png() png(\"ExampleTAIProfile.png\", width = 800, height = 600)  PlotPattern( ExpressionSet = PhyloExpressionSetExample,               type          = \"l\",               lwd           = 6,               xlab          = \"Ontogeny\",               ylab          = \"TAI\",              cex           = 1,               cex.lab       = 1,               cex.axis      = 1.2 )  dev.off() # store ggplot2 graphic in variable p p <- PlotSignature(ExpressionSet = PhyloExpressionSetExample,                    ylab          = \"Transcriptome Age Index\")  # save ggplot2 based TAI profile to a local machine with save_plot() cowplot::save_plot(\"ExampleTAIProfile.pdf\",                    p,                    base_height = 8,                    base_width = 12 )"},{"path":"https://drostlab.github.io/myTAI/articles/Introduction.html","id":"references","dir":"Articles","previous_headings":"Table of Contents","what":"References","title":"Introduction to the myTAI package","text":"Domazet-Loso T. Tautz D. phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns. Nature (2010) 468: 815-8. Quint M. et al. transcriptomic hourglass plant embryogenesis. Nature (2012) 490: 98-101. Drost HG, Gabel , Grosse , Quint M. Evidence Active Maintenance Phylotranscriptomic Hourglass Patterns Animal Plant Embryogenesis. Mol. Biol. Evol. (2015) 32 (5): 1221-1231.","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Phylostratigraphy.html","id":"genomic-phylostratography-based-gene-age-inference","dir":"Articles","previous_headings":"","what":"Genomic phylostratography based gene age inference","title":"Discussing Genomic Phylostratigraphy","text":"Discussed intensely past years (Capra et al., 2013; Altenhoff et al., 2016; Liebeskind et al., 2016; Domazet-Loso et al., 2017; Futo et al., 2021; Barrera-Redondo et al., 2023; etc.), gene age inference trivial task might biased currently existing approaches (Liebeskind et al., 2016; Yin et al., 2018; Casola 2018; Weisman et al., 2020; Weisman et al., 2022; etc.). particular, Moyers & Zhang argue genomic phylostratigraphy (prominent BLAST based gene age inference method) underestimates gene age considerable fraction genes, biased rapidly evolving proteins short, /conserved block sites small, biases create spurious nonuniform distributions various gene properties among age groups, many predicted priori (Moyers & Zhang, 2015; Moyers & Zhang, 2016; Liebeskind et al., 2016). However, arguments based simulated data inconclusive due errors analyses. Furthermore, Domazet-Loso et al., 2017 provide convincing evidence phylostratigraphic bias. response, Moyers & Zhang, 2017 published counter-study stating phylostratigraphic trend claimed Domazet-Loso et al., 2017 robust error disappears genes likely error-resistant analyzed. Moyers & Zhang, 2017 suggest robust methodology controlling effects error first restricting genes can simulated removing genes , simulation, shown error-prone (see also Moyers & Zhang, 2018). general, objective benchmarking set representing tree life still missing therefore procedure aiming quantify gene ages biased degree. Based debate Liebeskind et al., 2016 suggest inferring gene age combining several common orthology inference algorithms create gene age datasets characterize error around age-call per-gene per-algorithm basis. Using approach systematic error found large factor estimating gene age, suggesting simple consensus algorithms enough give reliable point estimate (Liebeskind et al., 2016). also observed Moyers & Zhang, 2018) running alternative tools PSIBLAST, HMMER, OMA, etc. However, generating consensus gene age quantifying possible error workflow step, Liebeskind et al., 2016 provide useful database consensus gene ages variety genomes. Alternatively, Smith & Pease, 2016 argues de novo gene birth/death gene family expansion/contraction studies avoid drawing direct inferences evolutionary relatedness measures sequence similarity alone, instead, possible, use rigorous phylogeny-based methods. purpose, recommend researchers consult phylomedb database retrieve phylogeny-based gene orthology relationships use age estimates combination myTAI. Similarly, users can also retrieve gene ages EggNOG database using orthomap. Alternatively, users might find simulation based removal approach proposed Moyers & Zhang, 2018 suitable. Evidently, advancements gene age research recent gene age inference young active field genomic research. Therefore, many studies need address robust realistic inference gene age community standard still missing. Despite ongoing debate correctly infer gene age, users myTAI can perform gene age inference method find appropriate biological question pass gene age inference table input myTAI. , users need follow following data format specifications use gene age inference table myTAI. However, even users rely established procedures phylostratigraphy gene age inference bias present ‘systematic error’ developmental stages TAI TDI computations performed. Thus, stages constraint detectable case. Since TAI TDI computations intended enable screening conserved constrained stages developmental biological processes downstream experimental studies, even simple approaches phylostratigraphy can give first evidence existence transcriptomic constraints within biological process. researchers wish extract exact candidate genes might potentially cause transcriptome constraints advise rely superior approaches gene age inference discussed .","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Phylostratigraphy.html","id":"overlooked-technical-aspects-of-blast-and-blast-like-tools","dir":"Articles","previous_headings":"Genomic phylostratography based gene age inference","what":"Overlooked technical aspects of BLAST and BLAST-like tools","title":"Discussing Genomic Phylostratigraphy","text":"opinion, completely missing entire debate bioinformatics/technical aspect using BLAST BLAST-like tool gene age inference. Recently, intensely discussed BLAST hits biased use default argument max_target_seqs (Shah et al., 2018). main issue max_target_seqs set : According BLAST documentation (2008), parameter represents ‘number aligned sequences keep’. statement commonly interpreted meaning BLAST return top N database hits sequence query value max_target_seqs set N. example, recent article (Wang et al., 2016) authors explicitly state ‘Setting ’max target seqs’ ‘1’ best match result considered’. surprise, recently discovered intuition incorrect. Instead, BLAST returns first N hits exceed specified E-value threshold, may may highest scoring N hits. invocation using parameter ‘-max_target_seqs 1’ simply returns first good hit found database, best hit one assume. Worse yet, output produced depends order sequences occur database. query, different results returned BLAST using different versions database even versions contain best hit database sequence. Even ordering database different way cause BLAST return different ‘top hit’ setting max_target_seqs parameter 1. - Shah et al., 2018 solution issue seems BLAST search must performed significantly high -max_target_seqs, e.g. -max_target_seqs 10000 (see https://gist.github.com/sujaikumar/504b3b7024eaf3a04ef5 details) best hits must filtered subsequently. clear studies referenced best BLAST hit retrieved -max_target_seqs values used perform BLAST searches respective study. Thus, comparability results studies impossible individual claim made studies might biased. addition, -max_target_seqs argument issue seems issue might influence technical differences BLAST hit results. Gonzalez-Pech et al., 2018 discuss another problem retrieving best BLAST hits based E-value thresholds. Many users assume BLAST alignment hits E-values less equal predefined threshold (e.g. 10-5 via specification evalue 1e-5) identified search completed, final step rank alignments E-value, smallest (top list results) largest E-value (bottom list). However, E-value filtering step occur final stage BLAST; occurs earlier scanning phase (Altschul et al., 1997; Camacho et al., 2009). phase, gapped alignment generated using less-sensitive heuristic parameters (Camacho et al., 2009); alignments E-value satisfies defined cut-included subsequent phase BLAST algorithm (eventually reported). final (trace-back) phase, gapped alignments adjusted using moresensitive heuristic parameters (Camacho et al., 2009), E-value refined alignments recalculated. - Gonzalez-Pech et al., 2018 means one study mentioned ran BLAST search BLAST parameter configuration lets say -max_target_seqs 250 (default value BLAST) evalue 10 (default value BLAST) subsequently selected best hit returned smallest E-value another study used parameter configuration -max_target_seqs 1 evalue 0.0001 results studies comparable proposed gene age inference bias might simply result technical difference running BLAST searches. detail, even one study example ran BLAST evalue 10 (default value BLAST) subsequently filtered hits resulted evalue < 0.0001 whereas another study ran BLAST directly evalue 0.0001, according Gonzalez-Pech et al., 2018 studies although referring E-value threshold filtering hits result different sets filtered BLAST hits.","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Phylostratigraphy.html","id":"homology-detection-failure","dir":"Articles","previous_headings":"Genomic phylostratography based gene age inference","what":"Homology detection failure","title":"Discussing Genomic Phylostratigraphy","text":"addition, small fast-evolving genes often wrongly annotated young genes due homology detection failure. issue potential solution context genomic phylostratigraphy discussed Weisman et al., 2020. alternative explanation lineage-specific gene nothing particularly special happened gene’s evolutionary history. gene homologs outside lineage (de novo origination), novel function emerged (neofunctionalization), despite lack novelty, computational similarity searches (e.g., BLAST) failed detect --lineage homologs. refer unsuccessful searches homology detection failure. homologs diverge sequence one another, statistical significance similarity declines. evolutionary time, constant rate sequence evolution, degree similarity may fall chosen significance threshold, resulting failure detect homolog. - Weisman et al., 2020 Users can run test, abSENSE detect probability homolog given gene fail detected homology search. note recently developed tool GenEra can automate abSENSE analysis every gene given genome provide output compatible myTAI.","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Phylostratigraphy.html","id":"synteny-based-phylostratigraphy","dir":"Articles","previous_headings":"Genomic phylostratography based gene age inference","what":"Synteny-based phylostratigraphy","title":"Discussing Genomic Phylostratigraphy","text":"recently introduced approach called synteny-based phylostratigraphy (Arendsee et al., 2019). , authors provide comparative analysis genes across evolutionary clades, augmenting standard phylostratigraphy detailed, synteny-based analysis. Whereas standard phylostratigraphy searches proteomes related species similarities focal genes, fagin pipeline first finds syntenic genomic intervals searches within intervals trace similarity. searches (silico translated) amino acid sequence unannotated ORFs well known CDS within syntenic search space target genomes. amino acid similarity found within syntenic search space, fagin pipeline search nucleotide similarity. Finding nucleotide sequence similarity, amino acid similarity, consistent de novo origin focal gene. similarity sort found, fagin pipeline use syntenic data infer possible reason. Thus, detect indels, scrambled synteny, assembly issues, regions uncertain synteny (Arendsee et al., 2019).","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Phylostratigraphy.html","id":"accelerated-and-sensitive-sequence-alignment","dir":"Articles","previous_headings":"Genomic phylostratography based gene age inference","what":"Accelerated and sensitive sequence alignment","title":"Discussing Genomic Phylostratigraphy","text":"BLASTP considered gold-standard tool sequence alignment many labs, newer approaches (DIAMOND v2 MMSeqs2) developed. retain sensitivity BLAST thousands hundred-folds faster. speed-crucial sequence databases increase size. important genomic phylostratigraphy DIAMOND v2 MMSeqs2 employed various phylostratigraphic phylotranscriptomic analyses (either explicitly --hood tools OrthoFinder, uses DIAMOND default) (see Domazet-Loso et al., 2022; Ma & Zheng 2023; Manley et al., 2023). DIAMOND, users can overcome overlooked technical aspects BLAST max_target_seqs issue setting --max-target-seqs 0 (simply -k0). Furthermore, --ultra-sensitive mode can employed, sensitive BLAST 80x faster (see Fig 1. DIAMOND paper). GenEra, recently developed gene age inference tool, utilises DIAMOND v2 appropriate parameter settings default. Users can also specify use MMSeqs2 well protein structure aligner Foldseek tools (Barrera-Redondo et al., 2023). Potential issues homology detection failure can overcome providing pair-wise evolutionary distance file input. Furthermore, users can set thresholds taxonomic representativeness filter evolutionarily inconsistent matches database, .e. matches stemming database contamination horizontal gene transfer.","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Phylostratigraphy.html","id":"inferring-gene-age-using-orthogroups","dir":"Articles","previous_headings":"Genomic phylostratography based gene age inference","what":"Inferring gene age using orthogroups","title":"Discussing Genomic Phylostratigraphy","text":"first studies gene age inference used framework genomic phylostratigraphy, gene focal species compared sequence database find distantly related homologue (Domazet-Loso et al., 2007). recent studies instead inferred gene age using node phylogeny contains members orthogroup. orthogroup group genes descended single gene last common ancestor clade species. framework useful phylogenetic inference comparative transcriptomics. Since orthogroup subset sequence homologues given dataset, gene can hit genes outside orthogroup (using parameters pairwise sequence aligner). OrthoFinder (tool phylogenetic orthology inference comparative genomics) commonly used orthogroup-based gene age inference. result OrthoFinder includes files Orthogroups.tsv (now depreciated) Phylogenetic_Hierarchical_Orthogroups/N0.tsv, used orthogroup-based TAI studies (e.g. Ma & Zheng 2023; Nishimiya-Fujisawa et al., 2023). Incorporating results myTAI can done using orthomap (see documentation). Methodologically, stressed Orthogroups.tsv Phylogenetic_Hierarchical_Orthogroups/N0.tsv contain orthogroups one member (.e. orthogroups least one orthologue paralogue), users aware output files OrthoFinder include singletons, signature novel species-specific gene. incorporate singletons, users include genes Orthogroups_UnassignedGenes.tsv output , alternatively, singletons Orthogroups.txt file, assign singletons species-specific phylostrata study. orthogroup-based approach seems motivated assumption restricted set genes consists orthologues -paralogues (paralogues arose species split) tends similar attributes (e.g. conservation function /expression pattern) larger set genes contains sequence homologues. follows framework better reflect ‘gene age’. assumption draws parallels orthologue conjecture (.e. orthologues tend conserved attributes paralogues), heavily debated (Gabaldon & Koonin 2013; Dunn et al., 2018; Stamboulian et al., 2020; etc.). several cases, orthologues conserved attributes paralogues. Indeed, ‘shifts’ ‘substitutions’ expression profile paralogues arose species split observed single-cell studies (Tarashansky et al., 2021; Shafer et al., 2022). Overall, remains unclear whether inferring gene age using orthogroup-based approach better captures evolutionary information classic genomic phylostratigraphy approach (/unrestricted sequence homologues), given several issues pertaining genomic phylostratigraphy addressed (see Barrera-Redondo et al., 2023).","code":""},{"path":"https://drostlab.github.io/myTAI/articles/Phylostratigraphy.html","id":"summary","dir":"Articles","previous_headings":"","what":"Summary","title":"Discussing Genomic Phylostratigraphy","text":"Hence, mentioned approaches far perfect much research needed systematically compare different approaches gene age inference. overall rational behind gene age inference assign protein coding gene organism interest evolutionary age estimate aims quantify potential origin within tree life (detectable sequence homologue; orphan gene - see Tautz & Domazet-Loso, 2011). Hence, gene age inference generates table storing gene age first column corresponding gene id organism interest second column. table named phylostratigraphic map (phylomap).","code":""},{"path":"https://drostlab.github.io/myTAI/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Hajk-Georg Drost. Author, maintainer. Jaruwatana Sodai Lotharukpong. Author, contributor. Nikola Kalábová. Author, contributor. Kristian K Ullrich. Author, contributor.","code":""},{"path":"https://drostlab.github.io/myTAI/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Drost HG, Gabel , Jiu J, Quint M, Grosse .  myTAI: evolutionary transcriptomics R.  Bioinformatics (2018). doi:10.1093/bioinformatics/btx835","code":"@Manual{,   entry = {Article},   title = {myTAI: evolutionary transcriptomics with R},   author = {Drost HG and Gabel A and Jiu J and Quint M and Grosse I},   journal = {Bioinformatics},   year = {2018},   volume = {34},   number = {9},   pages = {1589-1590}, }"},{"path":[]},{"path":[]},{"path":"https://drostlab.github.io/myTAI/index.html","id":"motivation","dir":"","previous_headings":"","what":"Motivation","title":"Evolutionary Transcriptomics","text":"past years, variety studies aimed uncover molecular basis morphological innovation variation evolutionary developmental perspective. studies often rely transcriptomic data establish molecular patterns driving complex biological processes underlying phenotypic plasticity. Although transcriptome information useful start study molecular mechanisms underlying biological process interest (molecular phenotype), rarely capture expression patterns emerged first place extent possibly constrained, thereby neglecting evolutionary history developmental constraints genes contributing overall pool expressed transcripts. overcome limitation, myTAI package introduces procedures summarized term evolutionary transcriptomics integrate gene age information classical gene expression analysis. Gene age inference can performed various existing software, recommend using GenEra orthomap, since address published shortcomings gene age inference (see detailed discussion ). addition, users can easily retrieve previously precomputed gene age information via data package phylomapr. Evolutionary transcriptomics studies can serve first approach screen silico potential existence evolutionary developmental constraints within biological process interest. achieved quantifying transcriptome conservation patterns underlying gene sets biological processes. exploratory analysis functions implemented myTAI provide users standardized, automated statistically sound framework detect analyze patterns evolutionary constraints transcriptome dataset interest.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/index.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Evolutionary Transcriptomics","text":"Please cite following paper using myTAI research. allow continue working software tool motivate extend functionality usability next years. Many thanks advance! Drost et al. myTAI: evolutionary transcriptomics R. Bioinformatics 2018, 34 (9), 1589-1590. doi:10.1093","code":""},{"path":"https://drostlab.github.io/myTAI/index.html","id":"dependencies","dir":"","previous_headings":"Citation","what":"Dependencies","title":"Evolutionary Transcriptomics","text":"myTAI using OpenMP run cpp code parallel, thus might need install additional software. Mac: Linux: 1. Check OpenMP-enabled compiler: Open terminal run command gcc --version g++ --version check GNU Compiler Collection (GCC) installed. OpenMP support typically included GCC. Install libomp library: Open terminal run command appropriate package manager: Ubuntu Debian-based systems: sudo apt-get install libomp-dev sudo apt install libomp-dev Fedora CentOS systems: sudo dnf install libomp-devel Arch Linux: sudo pacman -S libomp Windows: Windows, common OpenMP implementation provided Microsoft Visual C++ (MSVC) compiler, includes OpenMP support default. , using MSVC C++ compiler, OpenMP support without additional installations.","code":"brew install llvm libomp cd /usr/local/lib ln -s /usr/local/opt/libomp/lib/libomp.dylib ./libomp.dylib If you don't have GCC installed, you can install it using your distribution's package manager. For example, on Ubuntu, you can use sudo apt-get install build-essential to install GCC."},{"path":"https://drostlab.github.io/myTAI/index.html","id":"installation","dir":"","previous_headings":"Citation","what":"Installation","title":"Evolutionary Transcriptomics","text":"Users can install myTAI CRAN:","code":"# install myTAI 0.9.3 from CRAN install.packages(\"myTAI\", dependencies = TRUE)  # install the developer version containing the newest features devtools::install_github(\"drostlab/myTAI\")"},{"path":"https://drostlab.github.io/myTAI/index.html","id":"short-package-description","dir":"","previous_headings":"Citation","what":"Short package description","title":"Evolutionary Transcriptomics","text":"Using myTAI, existing newly generated transcriptome dataset can combined evolutionary information (find details ) retrieve novel insights evolutionary conservation transcriptome hand. purpose performing large scale evolutionary transcriptomics studies, myTAI package implements quantification, statistical assessment, analytics functionality allow researchers study evolution biological processes determining stages periods evolutionary conservation variability transcriptome data. hope myTAI become community standard tool perform evolutionary transcriptomics studies happy add required functionality upon request.","code":""},{"path":"https://drostlab.github.io/myTAI/index.html","id":"scientific-background","dir":"","previous_headings":"Citation","what":"Scientific background","title":"Evolutionary Transcriptomics","text":"Today, phenomena morphological mutations, diseases developmental processes primarily investigated molecular level using transcriptomics approaches. Transcriptomes denote total number quantifiable transcripts present specific stage biological process. disease developmental (defect) studies, transcriptomes usually measured several time points. treatment studies aiming quantify differences transcriptome due biotic stimuli, abiotic stimuli, diseases usually treatment / disease versus non-treatment / non-disease transcriptomes compared. either case, comparing changes transcriptomes time treatments allows us identify genes gene regulatory mechanisms might involved governing biological process investigation. Although classic transcriptomics studies based established methodology, little known evolution conservation mechanisms underlying transcriptomes. Understanding evolutionary mechanism change transcriptomes time, however, might give us new perspective diseases emerge first place morphological changes triggered changes developmental transcriptomes. Evolutionary transcriptomics aims capture quantify evolutionary conservation genes contribute transcriptome specific stage biological process interest. resulting temporal conservation pattern enables detect stages development biological processes evolutionarily conserved (Drost et al., 2018). quantification highest level achieved transcriptome indices (e.g. Transcriptome Age Index Transcriptome Divergence Index) aim quantify average evolutionary age Barrera-Redondo et al., 2022 sequence conservation Drost et al., 2015 genes contribute transcriptome particular stage. general, evolutionary transcriptomics can used method quantify evolutionary conservation transcriptomes particular developmental stages investigate transcriptomes underlying biological processes constrained channeled due events evolutionary history (Dollo’s law) (Drost et al., 2017). Please note, since myTAI relies gene age inference extensive debate best approaches gene age inference last years, please follow updated discussion gene age inference literature. GenEra, addressed previously raised issues encourage users run GenEra aiming infer gene ages myTAI analyses.","code":""},{"path":"https://drostlab.github.io/myTAI/index.html","id":"news","dir":"","previous_headings":"","what":"NEWS","title":"Evolutionary Transcriptomics","text":"current status package well detailed history functionality version myTAI can found NEWS section.","code":""},{"path":"https://drostlab.github.io/myTAI/index.html","id":"tutorials","dir":"","previous_headings":"","what":"Tutorials","title":"Evolutionary Transcriptomics","text":"following tutorials provide use cases detailed explanations quantify transcriptome conservation myTAI interpret results generated software tool. Introduction myTAI Package Intermediate Concepts Phylotranscriptomics Advanced Topics Phylotranscriptomics Perform Age Enrichment Analyses Gene Expression Analysis myTAI Taxonomic Information Retrieval Discussing Genomic Phylostratigraphy","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/index.html","id":"load-example-data","dir":"","previous_headings":"Example","what":"Load example data","title":"Evolutionary Transcriptomics","text":"","code":"library(myTAI) # example dataset covering 7 stages of A thaliana embryo development data(\"PhyloExpressionSetExample\") # transform absolute expression levels to log2 expression levels ExprExample <- tf(PhyloExpressionSetExample, log2)"},{"path":"https://drostlab.github.io/myTAI/index.html","id":"quantify-transcriptome-conservation-using-tai","dir":"","previous_headings":"Example","what":"Quantify transcriptome conservation using TAI","title":"Evolutionary Transcriptomics","text":"","code":"# visualize global Transcriptome Age Index pattern PlotSignature(ExprExample)"},{"path":"https://drostlab.github.io/myTAI/index.html","id":"quantify-expression-level-distributions-for-each-gene-age-category","dir":"","previous_headings":"Example","what":"Quantify expression level distributions for each gene age category","title":"Evolutionary Transcriptomics","text":"","code":"# plot expression level distributions for each age (=PS) category  # and each developmental stage  PlotCategoryExpr(ExprExample, \"PS\")"},{"path":"https://drostlab.github.io/myTAI/index.html","id":"quantify-mean-expression-of-individual-gene-age-categories","dir":"","previous_headings":"Example","what":"Quantify mean expression of individual gene age categories","title":"Evolutionary Transcriptomics","text":"","code":"# plot mean expression of each age category seperated by old (PS1-3) # versus young (PS4-12) genes PlotMeans(ExprExample, Groups = list(1:3, 4:12))"},{"path":"https://drostlab.github.io/myTAI/index.html","id":"quantify-relative-mean-expression-of-each-age-category-seperated-by-old-versus-young-genes","dir":"","previous_headings":"Example","what":"Quantify relative mean expression of each age category seperated by old versus young genes","title":"Evolutionary Transcriptomics","text":"","code":"# plot relative mean expression of each age category seperated by old (PS1-3) # versus young (PS4-12) genes PlotRE(ExprExample, Groups = list(1:3, 4:12)) # plot the significant differences between gene expression distributions  # of old (=group1) versus young (=group2) genes PlotGroupDiffs(ExpressionSet = ExprExample,                Groups        = list(group_1 = 1:3, group_2 = 4:12),                legendName    = \"PS\",                plot.type     = \"boxplot\")"},{"path":"https://drostlab.github.io/myTAI/index.html","id":"getting-started-with-mytai","dir":"","previous_headings":"","what":"Getting started with myTAI","title":"Evolutionary Transcriptomics","text":"Users can also read tutorials within (RStudio) : myTAI framework users can find:","code":"# source the myTAI package library(myTAI)  # look for all tutorials (vignettes) available in the myTAI package # this will open your web browser browseVignettes(\"myTAI\")  # or as single tutorials  # open tutorial: Introduction to Phylotranscriptomics and myTAI  vignette(\"Introduction\", package = \"myTAI\")  # open tutorial: Intermediate Concepts of Phylotranscriptomics  vignette(\"Intermediate\", package = \"myTAI\")  # open tutorial: Advanced Concepts of Phylotranscriptomics  vignette(\"Advanced\", package = \"myTAI\")  # open tutorial: Age Enrichment Analyses  vignette(\"Enrichment\", package = \"myTAI\")   # open tutorial: Gene Expression Analysis with myTAI  vignette(\"Expression\", package = \"myTAI\")    # open tutorial: Taxonomic Information Retrieval with myTAI  vignette(\"Taxonomy\", package = \"myTAI\")    # open tutorial: Discussing Genomic Phylostratigraphy  vignette(\"Phylostratigraphy\", package = \"myTAI\")"},{"path":"https://drostlab.github.io/myTAI/index.html","id":"phylotranscriptomics-measures","dir":"","previous_headings":"Getting started with myTAI","what":"Phylotranscriptomics Measures:","title":"Evolutionary Transcriptomics","text":"TAI() : Function compute Transcriptome Age Index (TAI) TDI() : Function compute Transcriptome Divergence Index (TDI) TPI() : Function compute Transcriptome Polymorphism Index (TPI) REMatrix() : Function compute relative expression profiles phylostrata divergence-strata RE() : Function transform mean expression levels relative expression levels pTAI() : Compute Phylostratum Contribution global TAI pTDI() : Compute Divergence Stratum Contribution global TDI pMatrix() : Compute Partial TAI TDI Values pStrata() : Compute Partial Strata Values","code":""},{"path":"https://drostlab.github.io/myTAI/index.html","id":"visualization-and-analytics-tools","dir":"","previous_headings":"Getting started with myTAI","what":"Visualization and Analytics Tools:","title":"Evolutionary Transcriptomics","text":"PlotSignature() : Main visualization function plot evolutionary signatures across transcriptomes PlotPattern() : Base graphics function plot evolutionary signatures across transcriptomes PlotContribution() : Plot Cumulative Transcriptome Index PlotCorrelation() : Function plot correlation phylostratum values divergence-stratum values PlotRE() : Function plot relative expression profiles PlotBarRE() : Function plot mean relative expression levels phylostratum divergence-stratum classes barplot PlotMeans() : Function plot mean expression profiles age categories PlotMedians() : Function plot median expression profiles age categories PlotVars() : Function plot expression variance profiles age categories PlotDistribution() : Function plot frequency distribution genes within corresponding age categories PlotCategoryExpr() : Plot Expression Levels Age Divergence Category Barplot Violinplot PlotEnrichment() : Plot Phylostratum Divergence Stratum Enrichment given Gene Set PlotGeneSet() : Plot Expression Profiles Gene Set PlotGroupDiffs() : Plot significant differences gene expression distributions PS DS groups PlotSelectedAgeDistr() : Plot PS DS distribution selected set genes","code":""},{"path":"https://drostlab.github.io/myTAI/index.html","id":"a-statistical-framework-and-test-statistics","dir":"","previous_headings":"Getting started with myTAI","what":"A Statistical Framework and Test Statistics:","title":"Evolutionary Transcriptomics","text":"FlatLineTest() : Function perform Flat Line Test quantifies statistical significance observed phylotranscriptomics pattern (significant deviation frat line = evolutionary signal) ReductiveHourglassTest() : Function perform Reductive Hourglass Test statistically evaluates existence phylotranscriptomic hourglass pattern (hourglass model) EarlyConservationTest() : Function perform Reductive Early Conservation Test statistically evaluates existence monotonically increasing phylotranscriptomic pattern (early conservation model) LateConservationTest() : Function perform Reductive Late Conservation Test statistically evaluates existence monotonically decreasing phylotranscriptomic pattern (early divergence model) ReverseHourglassTest(): Function perform Reverse Hourglass Test statistically evaluates existence reverse hourglass pattern (low-high-low) PairwiseTest(): Function perform Pairwise Difference Test statistically evaluates difference TAI (TDI) two constrasts, e.g. male vs female samples. EnrichmentTest() : Phylostratum Divergence Stratum Enrichment given Gene Set based Fisher’s Test bootMatrix() : Compute Permutation Matrix Test Statistics functions also include visual analytics tools quantify goodness test statistics.","code":""},{"path":"https://drostlab.github.io/myTAI/index.html","id":"differential-gene-expression-analysis","dir":"","previous_headings":"Getting started with myTAI","what":"Differential Gene Expression Analysis","title":"Evolutionary Transcriptomics","text":"DiffGenes() : Implements Popular Methods Differential Gene Expression Analysis CollapseReplicates() : Combine Replicates ExpressionSet CombinatorialSignificance() : Compute Statistical Significance Replicate Combination Expressed() : Filter Expression Levels Gene Expression Matrices (define expressed genes) SelectGeneSet() : Select Subset Genes ExpressionSet PlotReplicateQuality() : Plot Quality Biological Replicates GroupDiffs() : Quantify significant differences gene expression distributions PS DS groups","code":""},{"path":"https://drostlab.github.io/myTAI/index.html","id":"taxonomic-information-retrieval","dir":"","previous_headings":"Getting started with myTAI","what":"Taxonomic Information Retrieval","title":"Evolutionary Transcriptomics","text":"taxonomy() : Retrieve Taxonomic Information Organism Interest","code":""},{"path":"https://drostlab.github.io/myTAI/index.html","id":"minor-functions-for-better-usibility-and-additional-analyses","dir":"","previous_headings":"Getting started with myTAI","what":"Minor Functions for Better Usibility and Additional Analyses","title":"Evolutionary Transcriptomics","text":"MatchMap() : Match Phylostratigraphic Map Divergence Map ExpressionMatrix tf() : Transform Gene Expression Levels tfPS() : Transform Phylostratum Levels tfStability() : Perform Permutation Tests Different Transformations age.apply() : Age Category Specific apply Function ecScore() : Compute Hourglass Score EarlyConservationTest lcScore() : Compute Hourglass Score LateConservationTest pairScore() : Compute PairwiseTest Score PairwiseTest geom.mean() : Geometric Mean harm.mean() : Harmonic Mean omitMatrix() : Compute TAI TDI Profiles Omitting Given Gene rhScore() : Compute Hourglass Score Reductive Hourglass Test reversehourglassScore(): Compute Reverse Hourglass Score Reverse Hourglass Test","code":""},{"path":"https://drostlab.github.io/myTAI/index.html","id":"studies-that-successfully-used-mytai-to-quantify-transcriptome-conservation","dir":"","previous_headings":"","what":"Studies that successfully used myTAI to quantify transcriptome conservation:","title":"Evolutionary Transcriptomics","text":"Evolutionary transcriptomics metazoan biphasic life cycle supports single intercalation origin metazoan larvae J Wang, L Zhang, S Lian, Z Qin, X Zhu, X Dai, Z Huang et al. - Nature Ecology & Evolution, 2020 Pervasive convergent evolution extreme phenotypes define chaperone requirements protein homeostasis Y Draceni, S Pechmann - Proceedings National Academy Sciences, 2019 Reconstructing transcriptional ontogeny maize sorghum supports inverse hourglass model inflorescence development S Leiboff, S Hake - Current Biology, 2019 unicellular relative animals generates layer polarized cells actomyosin-dependent cellularization O Dudin, Ondracka, X Grau-Bové, AAB Haraldsen et al. - eLife, 2019 Evidence active maintenance phylotranscriptomic hourglass patterns animal plant embryogenesis HG Drost, Gabel, Grosse, M Quint - Molecular biology evolution, 2015 Gene Expression Support Developmental Hourglass Model Three Animals Spiralian Development L Wu, KE Ferger, JD Lambert - Molecular biology evolution, 2019 Transcriptome age individual cell types Caenorhabditis elegans F Ma, C Zheng - Proceedings National Academy Sciences, 2023 Transcriptional Landscape Polyploid Wheats Diploid Ancestors Embryogenesis Grain Development D Xiang, TD Quilichini, Z Liu, P Gao, Y Pan et al. - Plant Cell, 2019 Embryo-Like Features Developing Bacillus subtilis Biofilms M Futo, L Opašić, S Koska, N Čorak, T Široki, V Ravikumar, Thorsell, M Lenuzzi, D Kifer, M Domazet-Lošo, K Vlahoviček, Mijakovic, T Domazet-Lošo - Molecular Biology Evolution, 2021 New Genes Interacted Recent Whole-Genome Duplicates Fast Stem Growth Bamboos G Jin, P-F Ma, X Wu, L Gu, M Long, C Zhang, DZ Li - Molecular Biology Evolution, 2021 Developmental constraints genome evolution four bilaterian model species J Liu, M Robinson-Rechavi - Genome biology evolution, 2018 Mapping selection within Drosophila melanogaster embryo’s anatomy Salvador-Martínez et al. - Molecular biology evolution, 2017 Distribution diversity enzymes polysaccharide degradation fungi R Berlemont - Scientific reports, 2017 origins evolutionary history human non-coding RNA regulatory networks M Sherafatian, SJ Mowla - Journal bioinformatics computational biology, 2017 Elucidating endogenous synovial fluid proteome peptidome inflammatory arthritis using label-free mass spectrometry SM Mahendran, EC Keystone, RJ Krawetz et al. - Clinical proteomics, 2019 Phylostratr: framework phylostratigraphy Z Arendsee, J Li, U Singh, Seetharam et al. - Bioinformatics, 2019 Pervasive convergent evolution extreme phenotypes define chaperone requirements protein homeostasis Y Draceni, S Pechmann - BioRxiv, 2019 Environmental DNA reveals landscape mosaic wetland plant communities Shackleton, GN Rees, G Watson et al. - Global Ecology Conservation, 2019 Algorithms synteny-based phylostratigraphy gene origin classification Z Arendsee - 2019 High expression new genes trochophore enlightening ontogeny evolution trochozoans F Xu, T Domazet-Lošo, D Fan, TL Dunwell, L Li et al. - Scientific reports, 2016 Oxytocin receptor expression patterns human brain across development J Rokicki, T Kaufmann, -MG de Lange, D van der Meer, S Bahrami, Sartorius, UK Haukvik, NE Steen, E Schwarz, DJ Stein, T Nærland, OA Andreassen, LT Westlye, DS Quintana - Neuropsychopharmacol, 2022 Phylotranscriptomic Hourglass Pattern Fungi: Updated Model Y Xie, HS Kwan, PL Chan, WJ Wu, J Chiou, J Chang BioRxiv, 2022 ancient split germline somatic stem cell lineages Hydra C Nishimiya-Fujisawa, H Petersen, TC-T Koubková-Yu, C Noda, S Shigenobu, J Bageritz, T Fujisawa, O Simakov, S Kobayashi, TW Holstein - BioRxiv, 2023 Transcriptomic Hourglass Brown Algae JS Lotharukpong, M Zheng, R Luthringer, H-G Drost, SM Coelho - BioRxiv, 2024","code":""},{"path":"https://drostlab.github.io/myTAI/index.html","id":"discussions-and-bug-reports","dir":"","previous_headings":"","what":"Discussions and Bug Reports","title":"Evolutionary Transcriptomics","text":"happy learn potential improvements concepts functions provided package. Furthermore, case find bugs need additional (flexible) functionality parts package, please let know: https://github.com/drostlab/myTAI/issues","code":""},{"path":"https://drostlab.github.io/myTAI/index.html","id":"references","dir":"","previous_headings":"","what":"References","title":"Evolutionary Transcriptomics","text":"Domazet-Lošo T. Tautz D. phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns. Nature (2010) 468: 815-8. Quint M, Drost HG, et al. transcriptomic hourglass plant embryogenesis. Nature (2012) 490: 98-101. Drost HG, Gabel , Grosse , Quint M. Evidence Active Maintenance Phylotranscriptomic Hourglass Patterns Animal Plant Embryogenesis. Mol. Biol. Evol. (2015) 32 (5): 1221-1231. Drost HG, Bellstädt J, Ó’Maoiléidigh DS, Silva , Gabel , Weinholdt C, Ryan PT, Dekkers BJW, Bentsink L, Hilhorst H, Ligterink W, Wellmer F, Grosse , Quint M. Post-embryonic hourglass patterns mark ontogenetic transitions plant development. Mol. Biol. Evol. (2016) doi:10.1093/molbev/msw039","code":""},{"path":"https://drostlab.github.io/myTAI/index.html","id":"acknowledgement","dir":"","previous_headings":"","what":"Acknowledgement","title":"Evolutionary Transcriptomics","text":"like thank several individuals making project possible. First like thank Ivo Grosse Marcel Quint providing place environment able work fascinating topics Evo-Devo research fruitful discussions led projects like one. Furthermore, like thank Alexander Gabel Jan Grau valuable discussions improve methodological concepts analyses present package. also like thank past Master Students: Sarah Scharfenberg, Anne Hoffmann, Sebastian Wussow worked intensively package helped improve usability logic package environment.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/CollapseReplicates.html","id":null,"dir":"Reference","previous_headings":"","what":"Combine Replicates in an ExpressionSet — CollapseReplicates","title":"Combine Replicates in an ExpressionSet — CollapseReplicates","text":"function takes ExpressionSet object storing either constant variable number biological technical replicates per stage collapses replicate expression levels using defined FUN (window function).","code":""},{"path":"https://drostlab.github.io/myTAI/reference/CollapseReplicates.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Combine Replicates in an ExpressionSet — CollapseReplicates","text":"","code":"CollapseReplicates(ExpressionSet, nrep, FUN, stage.names = NULL)"},{"path":"https://drostlab.github.io/myTAI/reference/CollapseReplicates.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Combine Replicates in an ExpressionSet — CollapseReplicates","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. nrep either numeric value specifying constant number replicates per stage numeric vector specifying variable number replicates stage position. FUN window function (e.g., mean, median, max, min, etc.) specifying replicate expression levels collapsed. stage.names character vector specifying new names collapsed stages.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/CollapseReplicates.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Combine Replicates in an ExpressionSet — CollapseReplicates","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/CollapseReplicates.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Combine Replicates in an ExpressionSet — CollapseReplicates","text":"","code":"data(PhyloExpressionSetExample)  # combine the expression levels of the 2 replicates (const) per stage # using mean as window function and rename new stages: \"S1\",\"S2\",\"S3\" CollapseReplicates(ExpressionSet = PhyloExpressionSetExample[1:5,1:8],                     nrep          = 2,                     FUN           = mean,                     stage.names   = c(\"S1\",\"S2\",\"S3\")) #> # A tibble: 5 × 5 #>   Phylostratum GeneID          S1     S2     S3 #>          <int> <fct>        <dbl>  <dbl>  <dbl> #> 1            1 at1g01040.2  2042.  1222.   982. #> 2            1 at1g01050.1  1659.  1615.  1305. #> 3            1 at1g01070.1  1223.   934.   871. #> 4            1 at1g01080.2   977.  1255.  1340. #> 5            1 at1g01090.1 14101. 37071. 61606.  # combine the expression levels of the 2 replicates (stage one), 2 replicates (stage two), # and 3 replicates (stage three) using mean as window function  # and rename new stages: \"S1\",\"S2\",\"S3\" CollapseReplicates(ExpressionSet = PhyloExpressionSetExample[1:5,1:9],                     nrep          = c(2,2,3),                     FUN           = mean,                     stage.names   = c(\"S1\",\"S2\",\"S3\")) #> # A tibble: 5 × 5 #>   Phylostratum GeneID          S1     S2     S3 #>          <int> <fct>        <dbl>  <dbl>  <dbl> #> 1            1 at1g01040.2  2042.  1222.  1220. #> 2            1 at1g01050.1  1659.  1615.  1228. #> 3            1 at1g01070.1  1223.   934.   879. #> 4            1 at1g01080.2   977.  1255.  1181. #> 5            1 at1g01090.1 14101. 37071. 43661."},{"path":"https://drostlab.github.io/myTAI/reference/CombinatorialSignificance.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute the Statistical Significance of Each Replicate Combination — CombinatorialSignificance","title":"Compute the Statistical Significance of Each Replicate Combination — CombinatorialSignificance","text":"case PhyloExpressionSet DivergenceExpressionSet stores replicates developmental stage experiment, function allows compute p-values quantifying statistical significance underlying pattern combinations replicates.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/CombinatorialSignificance.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute the Statistical Significance of Each Replicate Combination — CombinatorialSignificance","text":"","code":"CombinatorialSignificance(   ExpressionSet,   replicates,   TestStatistic = \"FlatLineTest\",   permutations = 1000,   parallel = FALSE )"},{"path":"https://drostlab.github.io/myTAI/reference/CombinatorialSignificance.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute the Statistical Significance of Each Replicate Combination — CombinatorialSignificance","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. replicates numeric vector storing number replicates within developmental stage experiment. case replicate stores one value, function assumes developmental stage experiment stores number replicates. TestStatistic string defining type test statistics used quantify statistical significance present phylotranscriptomics pattern. Default TestStatistic = \"FlatLineTest\". permutations numeric value specifying number permutations performed FlatLineTest. parallel boolean value specifying whether parallel processing (multicore processing) shall performed.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/CombinatorialSignificance.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute the Statistical Significance of Each Replicate Combination — CombinatorialSignificance","text":"numeric vector storing p-values returned underlying test statistic possible replicate combinations.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/CombinatorialSignificance.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute the Statistical Significance of Each Replicate Combination — CombinatorialSignificance","text":"intention analysis validate exists sequence replicates (possible combination replicates) results non-significant pattern, initial pattern combined replicates shown significant. small Example: Assume PhyloExpressionSet stores 3 developmental stages 3 replicates measured stage. 9 replicates total denoted : 1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 3.1, 3.2, 3.3. Now function computes statistical significance pattern derived corresponding combination replicates, e.g. 1.1, 2.1, 3.1 -> p-value combination 1 1.1, 2.2, 3.1  -> p-value combination 2 1.1, 2.3, 3.1 -> p-value combination 3 1.2, 2.1, 3.1 -> p-value combination 4 1.2, 2.1, 3.1 -> p-value combination 5 1.2, 2.1, 3.1 -> p-value combination 6 1.3, 2.1, 3.1 -> p-value combination 7 1.3, 2.2, 3.1 -> p-value combination 8 1.3, 2.3, 3.1 -> p-value combination 9 procedure yields 27 p-values \\(3^3\\) (\\(n_stages^n_replicates\\)) replicate combinations. Note, case large amount stages/experiments large amount replicates computation time increase \\(n_stages^n_replicates\\). 11 stages 4 replicates, 4^11 = 4194304 p-values computed. p-value computation based permutation test running 1000 permutations. aware might take time. p-value vector returned function can used plot p-values see whether critical value \\(\\alpha\\) exeeded (e.g. \\(\\alpha = 0.05\\)). function receives standard PhyloExpressionSet DivergenceExpressionSet object vector storing number replicates present stage experiment. Based arguments function computes possible replicate combinations using expand.grid function performs permutation test (either FlatLineTest replicate combination. permutation parameter function specifies number permutations shall performed permutation test. p-values computed, numeric vector storing corresponding p-values replicate combination returned. words, replicate combination present PhyloExpressionSet DivergenceExpressionSet object, TAI TDI pattern corresponding replicate combination tested statistical significance based underlying test statistic. function also able perform computations parallel using multicore processing. underlying statistical tests written C++ optimized fast computations.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/CombinatorialSignificance.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute the Statistical Significance of Each Replicate Combination — CombinatorialSignificance","text":"Drost HG et al. (2015) Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/CombinatorialSignificance.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute the Statistical Significance of Each Replicate Combination — CombinatorialSignificance","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/CombinatorialSignificance.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute the Statistical Significance of Each Replicate Combination — CombinatorialSignificance","text":"","code":"if (FALSE) { # \\dontrun{ # load a standard PhyloExpressionSet data(PhyloExpressionSetExample)  # we assume that the PhyloExpressionSetExample  # consists of 3 developmental stages  # and 2 replicates for stage 1, 3 replicates for stage 2,  # and 2 replicates for stage 3 # FOR REAL ANALYSES PLEASE USE: permutations = 1000 or 10000 # BUT NOTE THAT THIS TAKES MUCH MORE COMPUTATION TIME p.vector <- CombinatorialSignificance(ExpressionSet = PhyloExpressionSetExample,                                        replicates    = c(2,3,2),                                        TestStatistic = \"FlatLineTest\",                                        permutations  = 1000,                                        parallel      = FALSE) } # }"},{"path":"https://drostlab.github.io/myTAI/reference/DiffGenes.html","id":null,"dir":"Reference","previous_headings":"","what":"Differential Gene Expression Analysis — DiffGenes","title":"Differential Gene Expression Analysis — DiffGenes","text":"Detect differentially expressed genes (DEGs) standard ExpressionSet object.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/DiffGenes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Differential Gene Expression Analysis — DiffGenes","text":"","code":"DiffGenes(   ExpressionSet,   nrep,   method = \"foldchange\",   p.adjust.method = NULL,   comparison = NULL,   alpha = NULL,   filter.method = NULL,   n = NULL,   stage.names = NULL )"},{"path":"https://drostlab.github.io/myTAI/reference/DiffGenes.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Differential Gene Expression Analysis — DiffGenes","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. nrep either numeric value specifying constant number replicates per stage numeric vector specifying variable number replicates stage position. method method detect differentially expressed genes. p.adjust.method p value correction method passed p.adjust. Available options : p.adjust.method = \"BH\" (Benjamini-Hochberg correction) p.adjust.method = \"bonferroni\" (Bonferroni correction) p.adjust.method = \"holm\" p.adjust.method = \"hochberg\" p.adjust.method = \"hommel\" p.adjust.method = \"\" p.adjust.method = \"fdr\" p.adjust.method = NULL (Default) p-value correction performed. comparison character string specifying whether genes fold-change p-values  , , () alpha value excluded dataset.  case comparison = \"\" chosen, cut.argument must two dimensional vector defining lower alpha value first position upper alpha value second position. alpha numeric value specifying cut-value Genes fulfilling corresponding fold-change, log-fold-change, p-value retained returned DiffGenes. filter.method method alpha values multiple stages. Options \"const\", \"min-set\", \"n-set\". n numeric value method = \"n-set\". stage.names character vector specifying new names collapsed stages.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/DiffGenes.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Differential Gene Expression Analysis — DiffGenes","text":"methods perform detection differentially expressed genes assume input dataset normalized passing DiffGenes. RNA-Seq data DiffGenes assumes libraries normalized size, .e., expected column sum null hypothesis. Available methods detection differentially expressed genes: method = \"foldchange\": ratio replicate geometric means developmental stages.  , DiffGenes functions assumes absolute expression levels stored input ExpresisonSet. method = \"log-foldchange\": difference replicate arithmetic means developmental stages. , DiffGenes functions assumes log2a transformed expression levels stored input ExpresisonSet. method = \"t.test\": Welch t.test replicate expression levels two samples. method = \"wilcox.test\": Wilcoxon Rank Sum Test replicate expression levels two samples. Exclude non differentially expressed genes result dataset: specifying alpha argument furthermore, need specify filter.method decide non differentially expressed genes classified multiple sample comparisons genes retained final dataset returned DiffGenes. words, genes < alpha based following filter.method removed result dataset. Following extraction criteria implemented function: const: genes least one sample comparison undercuts exceeds alpha value cut.excluded ExpressionSet. Hence, 7 stage ExpressionSet genes passing alpha threshold 6 stages retained ExpressionSet. min-set: genes passing alpha value ceiling(n/2) stages retained ExpressionSet, n number stages ExpressionSet. n-set: genes passing alpha value n stages retained ExpressionSet. , argument n needs specified.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/DiffGenes.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Differential Gene Expression Analysis — DiffGenes","text":"case input ExpressionSet objects store 0 values, internally expression levels shifted +1 allow sufficient fold-change p-value computations. Additionally, warning printed console case expression levels automatically shifted.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/DiffGenes.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Differential Gene Expression Analysis — DiffGenes","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/DiffGenes.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Differential Gene Expression Analysis — DiffGenes","text":"","code":"data(PhyloExpressionSetExample)  # Detection of DEGs using the fold-change measure DEGs <- DiffGenes(ExpressionSet = PhyloExpressionSetExample[ ,1:8],                   nrep          = 2,                   comparison    = \"below\",                   method        = \"foldchange\",                   stage.names   = c(\"S1\",\"S2\",\"S3\"))   head(DEGs) #>   Phylostratum      GeneID    S1->S2    S1->S3    S2->S1    S2->S3    S3->S1 #> 1            1 at1g01040.2 1.6706342 2.0767465 0.5985751 1.2430887 0.4815224 #> 2            1 at1g01050.1 1.0231405 1.2788699 0.9773829 1.2499456 0.7819403 #> 3            1 at1g01070.1 1.3087104 1.4044710 0.7641110 1.0731717 0.7120119 #> 4            1 at1g01080.2 0.7786521 0.7286129 1.2842706 0.9357362 1.3724709 #> 5            1 at1g01090.1 0.3744682 0.2255944 2.6704536 0.6024393 4.4327345 #> 6            1 at1g01120.1 0.9110850 0.9000931 1.0975925 0.9879354 1.1109962 #>      S3->S2 #> 1 0.8044478 #> 2 0.8000348 #> 3 0.9318173 #> 4 1.0686773 #> 5 1.6599182 #> 6 1.0122119   # Detection of DEGs using the log-fold-change measure # when choosing method = \"log-foldchange\" it is assumed that # your input expression matrix stores log2 expression levels  log.DEGs <- DiffGenes(ExpressionSet = tf(PhyloExpressionSetExample[1:5,1:8],log2),                       nrep          = 2,                       comparison    = \"below\",                       method        = \"log-foldchange\",                       stage.names   = c(\"S1\",\"S2\",\"S3\"))   head(log.DEGs) #>   Phylostratum      GeneID      S1->S2     S1->S3      S2->S1      S2->S3 #> 1            1 at1g01040.2  0.74039587  1.0543251 -0.74039587  0.31392926 #> 2            1 at1g01050.1  0.03300429  0.3548696 -0.03300429  0.32186526 #> 3            1 at1g01070.1  0.38814592  0.4900268 -0.38814592  0.10188092 #> 4            1 at1g01080.2 -0.36094927 -0.4567755  0.36094927 -0.09582626 #> 5            1 at1g01090.1 -1.41708484 -2.1481970  1.41708484 -0.73111211 #>       S3->S1      S3->S2 #> 1 -1.0543251 -0.31392926 #> 2 -0.3548696 -0.32186526 #> 3 -0.4900268 -0.10188092 #> 4  0.4567755  0.09582626 #> 5  2.1481970  0.73111211   # Remove fold-change values < 2 from the dataset:  ## first have a look at the range of fold-change values of all genes  apply(DEGs[ , 3:8],2,range) #>          S1->S2      S1->S3     S2->S1      S2->S3     S3->S1      S3->S2 #> [1,]  0.1081031  0.04752967 0.06022388  0.06115996  0.0244683  0.06450549 #> [2,] 16.6047090 40.86920354 9.25042630 15.50255551 21.0394884 16.35056753  # now remove genes undercutting the alpha = 2 threshold # hence, remove genes having p-values <= 0.05 in at # least one sample comparison DEGs.alpha <- DiffGenes(ExpressionSet = PhyloExpressionSetExample[1:250 ,1:8],                         nrep          = 2,                         method        = \"t.test\",                         alpha         = 0.05,                         comparison    = \"above\",                         filter.method = \"n-set\",                         n             = 1,                         stage.names   = c(\"S1\",\"S2\",\"S3\"))  # now again have a look at the range and find # that fold-change values of 2 are the min value apply(DEGs.alpha[ , 3:5],2,range) #>           S1<->S2     S1<->S3     S2<->S3 #> [1,] 0.0004200748 0.002629415 0.005515936 #> [2,] 0.2405307541 0.046734476 0.375736681  # now check whether each example has at least one stage with a p-value <= 0.05 head(DEGs.alpha) #>    Phylostratum      GeneID     S1<->S2     S1<->S3    S2<->S3 #> 3             1 at1g01070.1 0.007037106 0.002629415 0.01981887 #> 5             1 at1g01090.1 0.026369854 0.035285481 0.08957681 #> 31            1 at1g01770.1 0.240530754 0.012040556 0.04951844 #> 45            1 at1g02130.1 0.008556501 0.046734476 0.32347638 #> 47            1 at1g02205.3 0.022021429 0.015537681 0.22278162 #> 93            1 at1g03190.1 0.016635354 0.012251604 0.14721584"},{"path":"https://drostlab.github.io/myTAI/reference/DivergenceExpressionSetExample.html","id":null,"dir":"Reference","previous_headings":"","what":"An Example DivergenceExpressionSet Data Set — DivergenceExpressionSetExample","title":"An Example DivergenceExpressionSet Data Set — DivergenceExpressionSetExample","text":"standard DivergenceExpressionSet data.frame consisting standardized sequence columns store age information gene corresponding gene expression profile. standard defined follows: Divergencestratum | GeneID | Expression-level 1 | ... | Expression-level N","code":""},{"path":"https://drostlab.github.io/myTAI/reference/DivergenceExpressionSetExample.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"An Example DivergenceExpressionSet Data Set — DivergenceExpressionSetExample","text":"http://www.plantphysiol.org/content/156/1/346/suppl/DC1","code":""},{"path":"https://drostlab.github.io/myTAI/reference/DivergenceExpressionSetExample.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"An Example DivergenceExpressionSet Data Set — DivergenceExpressionSetExample","text":"standard DivergenceExpressionSet object.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/DivergenceExpressionSetExample.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"An Example DivergenceExpressionSet Data Set — DivergenceExpressionSetExample","text":"example DivergenceExpressionSet dataset covers 7 developmental stages Arabidopsis thaliana embryo development. initial gene expression dataset published Xiang et al., 2011 (see references section) used Quint et al., 2012 (see references section) assign sequence divergence values (divergence strata) gene expression profile.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/DivergenceExpressionSetExample.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"An Example DivergenceExpressionSet Data Set — DivergenceExpressionSetExample","text":"Quint M et al. 2012. \"transcriptomic hourglass plant embryogenesis\". Nature (490): 98-101. Supplementary Table 2 : http://www.nature.com/nature/journal/v490/n7418/full/nature11394.html Xiang D et al. 2011. \"Genome-Wide Analysis Reveals Gene Expression Metabolic Network Dynamics Embryo Development Arabidopsis\". Plant Physiology (156): 346-356. Supplemental Table 1 : http://www.plantphysiol.org/content/156/1/346/suppl/DC1","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/DivergenceExpressionSetExample.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"An Example DivergenceExpressionSet Data Set — DivergenceExpressionSetExample","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/EarlyConservationTest.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform Reductive Early Conservation Test — EarlyConservationTest","title":"Perform Reductive Early Conservation Test — EarlyConservationTest","text":"Reductive Early Conservation Test aims statistically evaluate existence monotonically increasing phylotranscriptomic pattern based TAI TDI computations. corresponding p-value quantifies probability given TAI TDI pattern (phylotranscriptomics pattern) follow early conservation like pattern. p-value < 0.05 indicates corresponding phylotranscriptomics pattern indeed follow early conservation (low-high-high) shape.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/EarlyConservationTest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform Reductive Early Conservation Test — EarlyConservationTest","text":"","code":"EarlyConservationTest(   ExpressionSet,   modules = NULL,   permutations = 1000,   lillie.test = FALSE,   plotHistogram = FALSE,   runs = 10,   parallel = FALSE,   gof.warning = FALSE,   custom.perm.matrix = NULL )"},{"path":"https://drostlab.github.io/myTAI/reference/EarlyConservationTest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform Reductive Early Conservation Test — EarlyConservationTest","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. modules list storing three elements: early, mid, late. element expects numeric vector specifying developmental stages experiments correspond module. example, module = list(early = 1:2, mid = 3:5, late = 6:7) devides dataset storing seven developmental stages 3 modules. permutations numeric value specifying number permutations performed ReductiveHourglassTest. lillie.test boolean value specifying whether Lilliefors Kolmogorov-Smirnov Test shall performed quantify goodness fit. plotHistogram boolean value specifying whether Lillifor's Kolmogorov-Smirnov-Test shall performed test goodness fit approximated distribution, well additional plots quantifying significance observed phylotranscriptomic pattern. runs specify number runs performed goodness fit computations, case plotHistogram = TRUE. cases runs = 100 reasonable choice. Default runs = 10 (takes less computation time demonstration purposes). parallel performing runs parallel (takes cores multicore machine). gof.warning logical value indicating whether non significant goodness fit results printed warning. Default gof.warning = FALSE. custom.perm.matrix custom bootMatrix (permutation matrix) perform underlying test statistic. Default custom.perm.matrix = NULL.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/EarlyConservationTest.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Perform Reductive Early Conservation Test — EarlyConservationTest","text":"list object containing list elements: p.value : p-value quantifying statistical significance (low-high-high pattern) given phylotranscriptomics pattern. std.dev : standard deviation N sampled phylotranscriptomics patterns developmental stage S. lillie.test : boolean value specifying whether Lillifors KS-Test returned p-value > 0.05, indicates fitting permuted scores normal distribution seems plausible.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/EarlyConservationTest.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Perform Reductive Early Conservation Test — EarlyConservationTest","text":"reductive early conservation test permutation test based following test statistic. (1) set developmental stages partitioned three modules - early, mid, late - based prior biological knowledge. (2) mean TAI TDI value three modules T_early, T_mid, T_late computed. (3) two differences D1 = T_mid - T_early D2 = T_late - T_early calculated. (4) minimum D_min D1 D2 computed final test statistic reductive hourglass test. order determine statistical significance observed minimum difference D_min following permutation test performed. Based bootMatrix D_min calculated permuted TAI TDI profiles, approximated Gaussian distribution method moments estimated parameters returned fitdist, corresponding p-value computed pnorm given estimated parameters Gaussian distribution. goodness fit random vector D_min statistically quantified Lilliefors (Kolmogorov-Smirnov) test normality. case parameter plotHistogram = TRUE, multi-plot generated showing: (1) Cullen Frey skewness-kurtosis plot generated descdist. plot illustrates distributions seem plausible fit resulting permutation vector D_min. case reductive early conservation test normal distribution seemed plausible. (2) histogram D_min combined density plot plotted. D_min fitted normal distribution. corresponding parameters estimated moment matching estimation using fitdist function. (3) plot showing p-values N independent runs verify specific p-value biased specific permutation order. (4) barplot showing number cases underlying goodness fit (returned Lilliefors (Kolmogorov-Smirnov) test normality) shown significant (TRUE) significant (FALSE). allows quantify permutation bias implications goodness fit.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/EarlyConservationTest.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Perform Reductive Early Conservation Test — EarlyConservationTest","text":"Drost HG et al. (2015) Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012 Quint M et al. (2012). transcriptomic hourglass plant embryogenesis. Nature (490): 98-101. Piasecka B, Lichocki P, Moretti S, et al. (2013) hourglass early conservation models co-existing patterns developmental constraints vertebrates. PLoS Genet. 9(4): e1003476.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/EarlyConservationTest.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Perform Reductive Early Conservation Test — EarlyConservationTest","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/EarlyConservationTest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform Reductive Early Conservation Test — EarlyConservationTest","text":"","code":"data(PhyloExpressionSetExample)  # perform the early conservation test for a PhyloExpressionSet # here the prior biological knowledge is that stages 1-2 correspond to module 1 = early, # stages 3-5 to module 2 = mid (phylotypic module), and stages 6-7 correspond to # module 3 = late EarlyConservationTest(PhyloExpressionSetExample,                        modules = list(early = 1:2, mid = 3:5, late = 6:7),                         permutations = 1000) #> The phylotranscriptomic pattern may not follow an early conservation pattern (low-mid-high or low-high-high). #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #> $p.value #> [1] 0.9998289 #>  #> $std.dev #> [1] 0.05369442 0.05209210 0.05093189 0.04996095 0.04901245 0.05003862 0.05481401 #>  #> $lillie.test #> [1] NA #>    # use your own permutation matrix based on which p-values (EarlyConservationTest) # shall be computed custom_perm_matrix <- bootMatrix(PhyloExpressionSetExample,100) #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>   EarlyConservationTest(PhyloExpressionSetExample,                        modules = list(early = 1:2, mid = 3:5, late = 6:7),                         custom.perm.matrix = custom_perm_matrix) #> The phylotranscriptomic pattern may not follow an early conservation pattern (low-mid-high or low-high-high). #> $p.value #> [1] 0.9999693 #>  #> $std.dev #>     Zygote   Quadrant   Globular      Heart    Torpedo       Bent     Mature  #> 0.05635929 0.05285043 0.04957050 0.05001778 0.04811156 0.05039466 0.05989830  #>  #> $lillie.test #> [1] NA #>"},{"path":"https://drostlab.github.io/myTAI/reference/EnrichmentTest.html","id":null,"dir":"Reference","previous_headings":"","what":"Phylostratum or Divergence Stratum Enrichment of a given Gene Set based on Fisher's Test — EnrichmentTest","title":"Phylostratum or Divergence Stratum Enrichment of a given Gene Set based on Fisher's Test — EnrichmentTest","text":"function computes significance enriched (underrepresented) Phylostrata Divergence Strata within input test.set based fisher.test. Please concult PlotEnrichment details.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/EnrichmentTest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Phylostratum or Divergence Stratum Enrichment of a given Gene Set based on Fisher's Test — EnrichmentTest","text":"","code":"EnrichmentTest(   ExpressionSet,   test.set,   use.only.map = FALSE,   measure = \"log-foldchange\",   complete.bg = TRUE,   epsilon = 1e-05 )"},{"path":"https://drostlab.github.io/myTAI/reference/EnrichmentTest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Phylostratum or Divergence Stratum Enrichment of a given Gene Set based on Fisher's Test — EnrichmentTest","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. test.set character vector storing gene ids PS/DS enrichment analyses performed. use..map logical value indicating whether instead standard ExpressionSet Phylostratigraphic Map Divergene Map passed function. measure character string specifying measure used quantify representation PS/DS. Measures can either measure = \"foldchange\" (odds) measure = \"log-foldchange\" (log-odds). complete.bg logical value indicating whether entire background set input ExpressionSet considered performing Fisher's exact test (complete.bg = TRUE) whether genes stored test.set excluded background set performing Fisher's exact test (complete.bg = FALSE). epsilon small value shift values epsilon avoid log(0) computations.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/EnrichmentTest.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Phylostratum or Divergence Stratum Enrichment of a given Gene Set based on Fisher's Test — EnrichmentTest","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/EnrichmentTest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Phylostratum or Divergence Stratum Enrichment of a given Gene Set based on Fisher's Test — EnrichmentTest","text":"","code":"data(PhyloExpressionSetExample)  set.seed(123) test_set <- sample(PhyloExpressionSetExample[ , 2],1000)  E.Result <- EnrichmentTest(ExpressionSet = PhyloExpressionSetExample,                            test.set      = test_set ,                            measure       = \"log-foldchange\")                             # get the log-fold change table E.Result$enrichment.matrix #>           BG_Set     Test_Set #> 1  -0.0004337003  0.010481817 #> 2   0.0017181154 -0.042321022 #> 3   0.0056691770 -0.144837926 #> 4  -0.0021020073  0.050078271 #> 5   0.0044161681 -0.111500196 #> 6  -0.0113320413  0.250731629 #> 7   0.0167409104 -0.480258084 #> 8  -0.0004004521  0.009681065 #> 9   0.0166840812 -0.478313742 #> 10  0.0021668586 -0.053590619 #> 11  0.0114655330 -0.310378255 #> 12 -0.0039843952  0.093435996  # get P-values for the enrichment significance for each Phylostratum E.Result$p.values #>         1         2         3         4         5         6         7         8  #> 0.8665888 0.6054816 0.6418368 0.6730864 0.7200825 0.1238752 0.4403599 0.8772462  #>         9        10        11        12  #> 0.3351155 0.9329851 0.7095475 0.5673222"},{"path":"https://drostlab.github.io/myTAI/reference/Expressed.html","id":null,"dir":"Reference","previous_headings":"","what":"Filter for Expressed Genes — Expressed","title":"Filter for Expressed Genes — Expressed","text":"function takes ExpressionSet object removes genes gene expression matrix expression level , , defined cut.value. Hence, function allows remove genes defined expressed outliers returns ExpressionSet retaining expressed genes.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/Expressed.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Filter for Expressed Genes — Expressed","text":"","code":"Expressed(   ExpressionSet,   cut.off,   method = \"const\",   comparison = \"below\",   n = NULL )"},{"path":"https://drostlab.github.io/myTAI/reference/Expressed.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Filter for Expressed Genes — Expressed","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. cut.numeric value specifying expression cut-define genes expressed (comparison = \"\") , outliers (comparison = \"\"), (comparison = \"\"). See comparison details. case comparison = \"\", cut.argument must two dimensional vector defining lower cut.value first position upper cut.value second position. method method defining treat gene expression values multiple stages. corresponding method chosen allows control stage-wise fulfillment threshold criteria. Options \"const\", \"min-set\", \"n-set\". comparison character string specifying whether genes expression levels  , , () cut.value excluded dataset.  case comparison = \"\" chosen, cut.argument must two dimensional vector defining lower cut.value first position upper cut.value second position. n numeric value method = \"n-set\".","code":""},{"path":"https://drostlab.github.io/myTAI/reference/Expressed.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Filter for Expressed Genes — Expressed","text":"filter function allows users remove genes ExpressionSet object undercut exceed certain expression level cut.. Following extraction criteria implemented function: const: genes least one stage undercuts exceeds expression cut.excluded ExpressionSet. Hence, 7 stage ExpressionSet genes passing expression level cut.6 stages retained ExpressionSet. min-set: genes passing expression level cut.ceiling(n/2) stages retained ExpressionSet, n number stages ExpressionSet. n-set: genes passing expression level cut.n stages retained ExpressionSet. , argument n needs specified.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/Expressed.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Filter for Expressed Genes — Expressed","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/Expressed.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Filter for Expressed Genes — Expressed","text":"","code":"data(PhyloExpressionSetExample)  # remove genes that have an expression level below 8000  # in at least one developmental stage FilterConst <- Expressed(ExpressionSet = PhyloExpressionSetExample,                           cut.off       = 8000,                           method        = \"const\",                          comparison    = \"below\")                                dim(FilterConst) # check number of retained genes #> [1] 449   9  # remove genes that have an expression level below 8000  # in at least 3 developmental stages  # (in this case: ceiling(7/2) = 4 stages fulfilling the cut-off criteria) FilterMinSet <- Expressed(ExpressionSet = PhyloExpressionSetExample,                            cut.off       = 8000,                            method        = \"min-set\",                           comparison    = \"below\")                                 dim(FilterMinSet) # check number of retained genes #> [1] 830   9  # remove genes that have an expression level below 8000  # in at least 5 developmental stages (in this case: n = 2 stages fulfilling the criteria) FilterNSet <- Expressed(ExpressionSet = PhyloExpressionSetExample,                          cut.off       = 8000,                          method        = \"n-set\",                         comparison    = \"below\",                         n             = 2)                                 dim(FilterMinSet) # check number of retained genes #> [1] 830   9    # remove expression levels that exceed the cut.off criteria FilterMinSet <- Expressed(ExpressionSet = PhyloExpressionSetExample,                            cut.off       = 12000,                            method        = \"min-set\",                           comparison    = \"above\")                                 dim(FilterMinSet) # check number of retained genes #> [1] 24456     9   # remove expression levels that undercut AND exceed the cut.off criteria FilterMinSet <- Expressed(ExpressionSet = PhyloExpressionSetExample,                            cut.off       = c(8000,12000),                            method        = \"min-set\",                           comparison    = \"both\")                                 dim(FilterMinSet) # check number of retained genes #> [1] 111   9"},{"path":"https://drostlab.github.io/myTAI/reference/FlatLineTest.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform Flat Line Test — FlatLineTest","title":"Perform Flat Line Test — FlatLineTest","text":"function quantifies statistical significance observed phylotranscriptomic pattern. detail, Flat Line Test quantifies significant deviation observed phylotranscriptomic pattern flat line.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/FlatLineTest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform Flat Line Test — FlatLineTest","text":"","code":"FlatLineTest(   ExpressionSet,   permutations = 10000,   plotHistogram = FALSE,   runs = 10,   parallel = FALSE,   custom.perm.matrix = NULL )"},{"path":"https://drostlab.github.io/myTAI/reference/FlatLineTest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform Flat Line Test — FlatLineTest","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. permutations numeric value specifying number permutations shall performed FlatLineTest. plotHistogram logical value indicating whether detailed statistical analysis concerning goodness fit performed. runs specify number runs performed goodness fit computations. cases runs = 100 reasonable choice. parallel performing runs parallel (takes cores multicore machine). custom.perm.matrix custom bootMatrix (permutation matrix) perform underlying test statistic. Default custom.perm.matrix = NULL.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/FlatLineTest.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Perform Flat Line Test — FlatLineTest","text":"list object containing list elements: p.value p-value quantifying statistical significance (deviation flat line) given phylotranscriptomics pattern. std.dev standard deviation N sampled phylotranscriptomics patterns developmental stage S. std.dev Kolmogorov-Smirnov test satistics fitting gamma distribution variances dataset permuted phylostrata.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/FlatLineTest.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Perform Flat Line Test — FlatLineTest","text":"Internally function performs N phylotranscriptomics pattern computations (TAI TDI) based sampled PhyloExpressionSets DivergenceExpressionSets (see bootMatrix). test statistics developed follows: variance V_pattern S phylotranscriptomics values defines test statistic FlatLineTest. basic assumption , variance flat line equivalent zero perfect flat line. deviation flat line can measured variance value > 0. determine null distribution V_p, PS DS values within developmental stage s randomly permuted,  S surrogate phylotranscriptomics values computed permuted dataset, surrogate value V_p   computed S phylotranscriptomics values. permutation process repeated N times, yielding histogram V_p. applying Lilliefors Kolmogorov-Smirnov Test gamma distribution, V_p approximated gamma distribution. two parameters gamma distribution estimated function fitdist fitdistrplus package moment matching estimation. fitted gamma distribution considered null distribution V_pattern, p-value observed value V_p computed null distribution. case parameter plotHistogram = TRUE, multi-plot generated showing: (1) Cullen Frey skewness-kurtosis plot generated descdist). (2) histogram V_p combined density plot using Method Moments estimated parameters returned fitdist function using gamma distribution. (3) plot showing p-values N independent runs verify specific p-value biased specific permutation order. goodness fit random vector V_p quantified statistically adapted Lilliefors (Kolmogorov-Smirnov) test gamma distributions.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/FlatLineTest.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Perform Flat Line Test — FlatLineTest","text":"case extreme outlier expression values stored dataset (PhyloExpressionSet DivergenceExpressionSet),  internal fitdist function based bootMatrix output might return warning:   \"densfun(x, parm[1], parm[2], ...) : NaNs produced\" indicates permutation results caused extreme outlier expression values   fitted accordingly. warning printed corresponding outlier values extracted dataset.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/FlatLineTest.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Perform Flat Line Test — FlatLineTest","text":"Drost HG et al. (2015) Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012 Quint M et al. (2012). transcriptomic hourglass plant embryogenesis. Nature (490): 98-101. M. L. Delignette-Muller, R. Pouillot, J.-B. Denis C. Dutang (2014), fitdistrplus: help fit parametric distribution non-censored censored data. Cullen AC Frey HC (1999) Probabilistic techniques exposure assessment. Plenum Press, USA, pp. 81-159. Evans M, Hastings N Peacock B (2000) Statistical distributions. John Wiley Sons Inc. Sokal RR Rohlf FJ (1995) Biometry. W.H. Freeman Company, USA, pp. 111-115. Juergen Gross bug fixes Uwe Ligges (2012). nortest: Tests Normality. R package version 1.0-2. http://CRAN.R-project.org/package=nortest Dallal, G.E. Wilkinson, L. (1986): analytic approximation distribution Lilliefors test normality. American Statistician, 40, 294-296. Stephens, M.. (1974): EDF statistics goodness fit comparisons. Journal American Statistical Association, 69, 730-737. http://stackoverflow.com/questions/4290081/fitting-data--distributions?rq=1 http://stats.stackexchange.com/questions/45033/can--use-kolmogorov-smirnov-test--estimate-distribution-parameters http://cran.r-project.org/doc/contrib/Ricci-distributions-en.pdf http://cran.r-project.org/doc/contrib/Ricci-distributions-en.pdf","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/FlatLineTest.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Perform Flat Line Test — FlatLineTest","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/FlatLineTest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform Flat Line Test — FlatLineTest","text":"","code":"# read standard phylotranscriptomics data data(PhyloExpressionSetExample)  # example PhyloExpressionSet using 100 permutations FlatLineTest(PhyloExpressionSetExample,              permutations  = 100,              plotHistogram = FALSE) #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #>  #> Total runtime of your permutation test: 0.017  seconds. #>  #> -> We recommended using at least 20000 permutations to achieve a sufficient permutation test. #> $p.value #> [1] 8.488052e-10 #>  #> $std.dev #> [1] 0.05830159 0.05826165 0.05508265 0.05585175 0.05526261 0.05392054 0.06382353 #>  #> $ks.test #>  #> \tExact one-sample Kolmogorov-Smirnov test #>  #> data:  filtered_vars #> D = 0.062749, p-value = 0.8118 #> alternative hypothesis: two-sided #>  #>   # use your own permutation matrix based on which p-values (FlatLineTest) # shall be computed custom_perm_matrix <- bootMatrix(PhyloExpressionSetExample,100) #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>   FlatLineTest(PhyloExpressionSetExample,              custom.perm.matrix = custom_perm_matrix) #>  #> -> We recommended using at least 20000 permutations to achieve a sufficient permutation test. #> $p.value #> [1] 3.048669e-14 #>  #> $std.dev #>     Zygote   Quadrant   Globular      Heart    Torpedo       Bent     Mature  #> 0.05154281 0.05174183 0.05101208 0.04891800 0.04824081 0.05254812 0.05079183  #>  #> $ks.test #>  #> \tExact one-sample Kolmogorov-Smirnov test #>  #> data:  filtered_vars #> D = 0.046018, p-value = 0.9785 #> alternative hypothesis: two-sided #>  #>"},{"path":"https://drostlab.github.io/myTAI/reference/GroupDiffs.html","id":null,"dir":"Reference","previous_headings":"","what":"Quantify the significant differences between gene expression distributions of age groups — GroupDiffs","title":"Quantify the significant differences between gene expression distributions of age groups — GroupDiffs","text":"function performs test quantify statistical significance global expression level distributions groups PS DS. therefore, allows users investigate significant groups PS DS significantly differ gene expression level distibution within specific developmental stages experiments.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/GroupDiffs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Quantify the significant differences between gene expression distributions of age groups — GroupDiffs","text":"","code":"GroupDiffs(   ExpressionSet,   Groups = NULL,   legendName = NULL,   stat.test = \"wilcox.test\",   gene.set = NULL,   ... )"},{"path":"https://drostlab.github.io/myTAI/reference/GroupDiffs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Quantify the significant differences between gene expression distributions of age groups — GroupDiffs","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. Groups list containing phylostrata divergence strata correspond phylostratum class divergence class. ex. evolutionary old phylostrata: PS1-3 (Class 1) evolutionary young phylostrata: PS4-12 (Class 2). case, list assigned , Groups = list(c(1:3), c(4:12)). legendName character string specifying whether \"PS\" \"DS\" used compute relative expression profiles. stat.test statistical test quantify PS DS group differences. gene.set character vector storing gene ids group specific differences shall statistically quantified. ... additional plot parameters.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/GroupDiffs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Quantify the significant differences between gene expression distributions of age groups — GroupDiffs","text":"purpose function detect groups PS DS significantly differ gene expression level distributions global (transcriptome) level. Since relative expression levels (PlotRE) PS DS specific mean expression levels (PlotMeans) biased highly expressed genes, function allows users objectively test significant difference transcriptome expression groups PS DS specific developmental stage experiment.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/GroupDiffs.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Quantify the significant differences between gene expression distributions of age groups — GroupDiffs","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/GroupDiffs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Quantify the significant differences between gene expression distributions of age groups — GroupDiffs","text":"","code":"data(PhyloExpressionSetExample) # perform a Wilcoxon Rank Sum test to statistically quantify the # difference between PS-Group 1 expression levels versus PS-Group 2 # expression levels GroupDiffs(ExpressionSet = PhyloExpressionSetExample,            Groups       = list(group_1 = 1:3,group_2 = 4:12),            legendName   = \"PS\") #>                               Zygote     Quadrant     Globular        Heart #> p.value ( wilcox.test ) 3.362424e-34 3.017793e-42 1.987181e-71 1.546567e-66 #>                              Torpedo         Bent       Mature #> p.value ( wilcox.test ) 1.174961e-85 9.975191e-90 1.007102e-74  # quantify the significant difference of a selected set of genes set.seed(123) ExampleGeneSet <- sample(PhyloExpressionSetExample[ , 2],5000)                 GroupDiffs(ExpressionSet = PhyloExpressionSetExample,            Groups       = list(group_1 = 1:3,group_2 = 4:12),            legendName   = \"PS\",            gene.set     = ExampleGeneSet)                #>                               Zygote     Quadrant     Globular        Heart #> p.value ( wilcox.test ) 7.440596e-07 5.336307e-09 7.197872e-17 2.406206e-16 #>                              Torpedo         Bent       Mature #> p.value ( wilcox.test ) 1.638876e-17 4.562901e-17 1.684535e-15"},{"path":"https://drostlab.github.io/myTAI/reference/LateConservationTest.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform Reductive Late Conservation Test — LateConservationTest","title":"Perform Reductive Late Conservation Test — LateConservationTest","text":"Reductive Late Conservation Test aims statistically evaluate existence monotonically decreasing phylotranscriptomic pattern based TAI TDI computations. corresponding p-value quantifies probability given TAI TDI pattern (phylotranscriptomics pattern) follow late conservation like pattern. p-value < 0.05 indicates corresponding phylotranscriptomics pattern indeed follow late conservation (high-high-low) shape.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/LateConservationTest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform Reductive Late Conservation Test — LateConservationTest","text":"","code":"LateConservationTest(   ExpressionSet,   modules = NULL,   permutations = 1000,   lillie.test = FALSE,   plotHistogram = FALSE,   runs = 10,   parallel = FALSE,   gof.warning = FALSE,   custom.perm.matrix = NULL )"},{"path":"https://drostlab.github.io/myTAI/reference/LateConservationTest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform Reductive Late Conservation Test — LateConservationTest","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. modules list storing three elements: early, mid, late. element expects numeric vector specifying developmental stages experiments correspond module. example, module = list(early = 1:2, mid = 3:5, late = 6:7) divides dataset storing seven developmental stages 3 modules. permutations numeric value specifying number permutations performed ReductiveHourglassTest. lillie.test boolean value specifying whether Lilliefors Kolmogorov-Smirnov Test shall performed quantify goodness fit. plotHistogram boolean value specifying whether Lillifor's Kolmogorov-Smirnov-Test shall performed test goodness fit approximated distribution, well additional plots quantifying significance observed phylotranscriptomic pattern. runs specify number runs performed goodness fit computations, case plotHistogram = TRUE. cases runs = 100 reasonable choice. Default runs = 10 (takes less computation time demonstration purposes). parallel performing runs parallel (takes cores multicore machine). gof.warning logical value indicating whether non significant goodness fit results printed warning. Default gof.warning = FALSE. custom.perm.matrix custom bootMatrix (permutation matrix) perform underlying test statistic. Default custom.perm.matrix = NULL.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/LateConservationTest.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Perform Reductive Late Conservation Test — LateConservationTest","text":"list object containing list elements: p.value : p-value quantifying statistical significance (low-high-high pattern) given phylotranscriptomics pattern. std.dev : standard deviation N sampled phylotranscriptomics patterns developmental stage S. lillie.test : boolean value specifying whether Lillifors KS-Test returned p-value > 0.05, indicates fitting permuted scores normal distribution seems plausible.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/LateConservationTest.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Perform Reductive Late Conservation Test — LateConservationTest","text":"reductive late conservation test permutation test based following test statistic. (1) set developmental stages partitioned three modules - early, mid, late - based prior biological knowledge. (2) mean TAI TDI value three modules T_early, T_mid, T_late computed. (3) two differences D1 = T_early - T_late D2 = T_mid - T_late calculated. (4) minimum D_min D1 D2 computed final test statistic reductive hourglass test. order determine statistical significance observed minimum difference D_min following permutation test performed. Based bootMatrix D_min calculated permuted TAI TDI profiles, approximated Gaussian distribution method moments estimated parameters returned fitdist, corresponding p-value computed pnorm given estimated parameters Gaussian distribution. goodness fit random vector D_min statistically quantified Lilliefors (Kolmogorov-Smirnov) test normality. case parameter plotHistogram = TRUE, multi-plot generated showing: (1) Cullen Frey skewness-kurtosis plot generated descdist. plot illustrates distributions seem plausible fit resulting permutation vector D_min. case reductive late conservation test normal distribution seemed plausible. (2) histogram D_min combined density plot plotted. D_min fitted normal distribution. corresponding parameters estimated moment matching estimation using fitdist function. (3) plot showing p-values N independent runs verify specific p-value biased specific permutation order. (4) barplot showing number cases underlying goodness fit (returned Lilliefors (Kolmogorov-Smirnov) test normality) shown significant (TRUE) significant (FALSE). allows quantify permutation bias implications goodness fit.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/LateConservationTest.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Perform Reductive Late Conservation Test — LateConservationTest","text":"Drost HG et al. (2015) Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012 Quint M et al. (2012). transcriptomic hourglass plant embryogenesis. Nature (490): 98-101. Piasecka B, Lichocki P, Moretti S, et al. (2013) hourglass early conservation models co-existing patterns developmental constraints vertebrates. PLoS Genet. 9(4): e1003476.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/LateConservationTest.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Perform Reductive Late Conservation Test — LateConservationTest","text":"Hajk-Georg Drost Jaruwatana Sodai Lotharukpong","code":""},{"path":"https://drostlab.github.io/myTAI/reference/LateConservationTest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform Reductive Late Conservation Test — LateConservationTest","text":"","code":"data(PhyloExpressionSetExample)  # perform the late conservation test for a PhyloExpressionSet # here the prior biological knowledge is that stages 1-2 correspond to module 1 = early, # stages 3-5 to module 2 = mid (phylotypic module), and stages 6-7 correspond to # module 3 = late LateConservationTest(PhyloExpressionSetExample,                        modules = list(early = 1:2, mid = 3:5, late = 6:7),                         permutations = 1000) #> The phylotranscriptomic pattern may not follow a late conservation pattern (high-mid-low or high-high-low). #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #> $p.value #> [1] 0.9999991 #>  #> $std.dev #> [1] 0.05343829 0.05299432 0.05104522 0.04950552 0.04919799 0.05051301 0.05572345 #>  #> $lillie.test #> [1] NA #>    # use your own permutation matrix based on which p-values (LateConservationTest) # shall be computed custom_perm_matrix <- bootMatrix(PhyloExpressionSetExample,100) #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>   LateConservationTest(PhyloExpressionSetExample,                        modules = list(early = 1:2, mid = 3:5, late = 6:7),                         custom.perm.matrix = custom_perm_matrix) #> The phylotranscriptomic pattern may not follow a late conservation pattern (high-mid-low or high-high-low). #> $p.value #> [1] 0.9999949 #>  #> $std.dev #>     Zygote   Quadrant   Globular      Heart    Torpedo       Bent     Mature  #> 0.05747708 0.05585285 0.05300770 0.05001848 0.04777103 0.04897164 0.05483565  #>  #> $lillie.test #> [1] NA #>"},{"path":"https://drostlab.github.io/myTAI/reference/MatchMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Match a Phylostratigraphic Map or Divergence Map with a ExpressionMatrix — MatchMap","title":"Match a Phylostratigraphic Map or Divergence Map with a ExpressionMatrix — MatchMap","text":"function matches Phylostratigraphic Map Divergence Map storing unique gene ids ExpressionMatrix also storing unique gene ids.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/MatchMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Match a Phylostratigraphic Map or Divergence Map with a ExpressionMatrix — MatchMap","text":"","code":"MatchMap(Map, ExpressionMatrix, remove.duplicates = FALSE, accumulate = NULL)"},{"path":"https://drostlab.github.io/myTAI/reference/MatchMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Match a Phylostratigraphic Map or Divergence Map with a ExpressionMatrix — MatchMap","text":"Map standard Phylostratigraphic Map Divergence Map object. ExpressionMatrix standard ExpressionMatrix object. remove.duplicates logical value indicating whether duplicate gene ids removed data set. accumulate accumulation function mean(), median(), min() accumulate multiple expression levels map unique gene id present ExpressionMatrix.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/MatchMap.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Match a Phylostratigraphic Map or Divergence Map with a ExpressionMatrix — MatchMap","text":"standard PhyloExpressionSet DivergenceExpressionSet object.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/MatchMap.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Match a Phylostratigraphic Map or Divergence Map with a ExpressionMatrix — MatchMap","text":"phylotranscriptomics analyses two major techniques performed obtain standard Phylostratigraphic map Divergence map objects. obtain Phylostratigraphic Map, Phylostratigraphy (Domazet-Loso et al., 2007) performed. obtain Divergence Map, orthologous gene detection, Ka/Ks computations, decilation (Quint et al., 2012; Drost et al., 2015) performed. resulting standard Phylostratigraphic Map Divergence Map objects consist 2 colums storing phylostratum assignment divergence stratum assignment given gene column one, corresponding gene id gene columns two. standard ExpressionMatrix common gene expression matrix storing gene ids probe ids first column, experiments/stages/replicates following columns. MatchMap function takes standard datasets: Map ExpressionMatrix merge data sets obtain standard PhyloExpressionSet DivergenceExpressionSet object. procedure analogous merge, customized Phylostratigraphic Map, Divergence Map, ExpressionMatrix standards allow faster intuitive usage. case work ExpressionMatrix stores multiple expression levels unique gene id, can specify accumulation argument accumulate multiple expression levels obtain one expression level one unique gene.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/MatchMap.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Match a Phylostratigraphic Map or Divergence Map with a ExpressionMatrix — MatchMap","text":"Domazet-Loso T, Brajkovic J, Tautz D (2007) phylostratigraphy approach uncover genomic history major adaptations metazoan lineages. Trends Genet. 23: 533-9. Domazet-Loso T, Tautz D (2010) phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns. Nature 468: 815-8. Quint M., Drost H.G., Gabel ., Ullrich K.K., Boenn M., Grosse . (2012) transcriptomic hourglass plant embryogenesis. Nature 490: 98-101. Drost HG et al. (2015) Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012","code":""},{"path":"https://drostlab.github.io/myTAI/reference/MatchMap.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Match a Phylostratigraphic Map or Divergence Map with a ExpressionMatrix — MatchMap","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/MatchMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Match a Phylostratigraphic Map or Divergence Map with a ExpressionMatrix — MatchMap","text":"","code":"# load a standard PhyloExpressionSet data(PhyloExpressionSetExample)          # in a standard PhyloExpressionSet,  # column one and column two denote a standard  # phylostratigraphic map PhyloMap <- PhyloExpressionSetExample[ , 1:2]          # look at the phylostratigraphic map standard head(PhyloMap) #>   Phylostratum      GeneID #> 1            1 at1g01040.2 #> 2            1 at1g01050.1 #> 3            1 at1g01070.1 #> 4            1 at1g01080.2 #> 5            1 at1g01090.1 #> 6            1 at1g01120.1          # in a standard PhyloExpressionSet, column two combined  # with column 3 - N denote a standard ExpressionMatrix ExpressionMatrixExample <- PhyloExpressionSetExample[ , c(2,3:9)]          # these two data sets shall illustrate an example  # phylostratigraphic map that is returned # by a standard phylostratigraphy run, and a expression set  # that is the result of expression data analysis  # (background correction, normalization, ...)          # now we can use the MatchMap function to merge both data sets # to obtain a standard PhyloExpressionSet          PES <- MatchMap(PhyloMap, ExpressionMatrixExample)          # note that the function returns a head()  # of the matched gene ids to enable # the user to find potential mis-matches          # the entire procedure is analogous to merge()  # with two data sets sharing the same gene ids  # as column (primary key) PES_merge <- merge(PhyloMap, ExpressionMatrixExample)"},{"path":"https://drostlab.github.io/myTAI/reference/PairwiseTest.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform Pairwise Difference Test — PairwiseTest","title":"Perform Pairwise Difference Test — PairwiseTest","text":"Pairwise Difference Test aims statistically evaluate pairwise difference phylotranscriptomic pattern two contrasts based TAI TDI computations. corresponding p-value quantifies probability given TAI TDI pattern (phylotranscriptomics pattern) differ alternative hypothesis (specifying direction difference). p-value < 0.05 indicates corresponding phylotranscriptomics pattern indeed differ.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PairwiseTest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform Pairwise Difference Test — PairwiseTest","text":"","code":"PairwiseTest(   ExpressionSet,   modules = NULL,   altHypothesis = NULL,   permutations = 1000,   lillie.test = FALSE,   plotHistogram = FALSE,   runs = 10,   parallel = FALSE,   gof.warning = FALSE,   custom.perm.matrix = NULL )"},{"path":"https://drostlab.github.io/myTAI/reference/PairwiseTest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform Pairwise Difference Test — PairwiseTest","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. modules list storing two elements: contrast1 contrast2. element expects numeric vector specifying developmental stages experiments correspond module. example, module = list(contrast1 = 1:2, contrast2 = 3:7) divides dataset storing seven developmental stages 2 modules (contrasts). altHypothesis character string defining alternative hypothesis (.e. direction difference) used quantify statistical significance present phylotranscriptomics pattern. Possible values can : altHypothesis = \"greater\" : contrast1 > contrast2 altHypothesis = \"less\" : contrast1 < contrast2 permutations numeric value specifying number permutations performed ReductiveHourglassTest. lillie.test boolean value specifying whether Lilliefors Kolmogorov-Smirnov Test shall performed quantify goodness fit. plotHistogram boolean value specifying whether Lillifor's Kolmogorov-Smirnov-Test shall performed test goodness fit approximated distribution, well additional plots quantifying significance observed phylotranscriptomic pattern. runs specify number runs performed goodness fit computations, case plotHistogram = TRUE. cases runs = 100 reasonable choice. Default runs = 10 (takes less computation time demonstration purposes). parallel performing runs parallel (takes cores multicore machine). gof.warning logical value indicating whether non significant goodness fit results printed warning. Default gof.warning = FALSE. custom.perm.matrix custom bootMatrix (permutation matrix) perform underlying test statistic. Default custom.perm.matrix = NULL.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PairwiseTest.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Perform Pairwise Difference Test — PairwiseTest","text":"list object containing list elements: p.value : p-value quantifying statistical significance given phylotranscriptomics pattern. std.dev : standard deviation N sampled phylotranscriptomics patterns developmental stage S. lillie.test : boolean value specifying whether Lillifors KS-Test returned p-value > 0.05, indicates fitting permuted scores normal distribution seems plausible.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PairwiseTest.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Perform Pairwise Difference Test — PairwiseTest","text":"reductive pairwise difference test permutation test based following test statistic. (1) PhyloExpressionSet partitioned contrast pairs - contrast1 contrast2 - based prior biological knowledge. prior knowledge include sexual, ecological genetic backgrounds. (2) mean TAI TDI value two contrasts contrast1 contrast2 computed. (3) pairwise differences D_contrast = contrast1 - contrast2 calculated final test statistic pairwise test, altHypothesis specified \"greater\". altHypothesis specified \"less\", sign D_contrast reversed. order determine statistical significance observed pairwise difference D_contrast following permutation test performed. Based bootMatrix D_contrast calculated permuted TAI TDI profiles, approximated Gaussian distribution method moments estimated parameters returned fitdist, corresponding p-value computed pnorm given estimated parameters Gaussian distribution. goodness fit random vector D_contrast statistically quantified Lilliefors (Kolmogorov-Smirnov) test normality. case parameter plotHistogram = TRUE, multi-plot generated showing: (1) Cullen Frey skewness-kurtosis plot generated descdist. plot illustrates distributions seem plausible fit resulting permutation vector D_contrast case pairwise difference test normal distribution seemed plausible. (2) histogram D_contrast combined density plot plotted. D_contrast fitted normal distribution. corresponding parameters estimated moment matching estimation using fitdist function. (3) plot showing p-values N independent runs verify specific p-value biased specific permutation order. (4) barplot showing number cases underlying goodness fit (returned Lilliefors (Kolmogorov-Smirnov) test normality) shown significant (TRUE) significant (FALSE). allows quantify permutation bias implications goodness fit.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PairwiseTest.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Perform Pairwise Difference Test — PairwiseTest","text":"Drost HG et al. (2015) Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012 Lotharukpong JS et al. (2024) (unpublished)","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/PairwiseTest.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Perform Pairwise Difference Test — PairwiseTest","text":"Hajk-Georg Drost Jaruwatana Sodai Lotharukpong","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PairwiseTest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform Pairwise Difference Test — PairwiseTest","text":"","code":"data(PhyloExpressionSetExample)  # perform the pairwise difference test for a PhyloExpressionSet # here the prior biological knowledge is that stages 1-2 correspond to contrast1, # stages 3-7 correspond to contrast 2. # We test whether TAI in contrast1 is greater than contrast 2. PairwiseTest(PhyloExpressionSetExample,          modules = list(contrast1 = 1:2, contrast2 = 3:7),           altHypothesis = \"greater\",          permutations = 1000) #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #> $p.value #> [1] 0.02584971 #>  #> $std.dev #> [1] 0.05408029 0.05251915 0.05223826 0.05091721 0.04997079 0.05260522 0.05694218 #>  #> $lillie.test #> [1] NA #>   # We can also test whether TAI in contrast1 is less than contrast 2. PairwiseTest(PhyloExpressionSetExample,          modules = list(contrast1 = 1:2, contrast2 = 3:7),           altHypothesis = \"less\",          permutations = 1000) #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #> $p.value #> [1] 0.9729322 #>  #> $std.dev #> [1] 0.05744036 0.05659292 0.05449721 0.05255368 0.05186078 0.05305327 0.05646092 #>  #> $lillie.test #> [1] NA #>   # if we only want to test whether TAI in stage 1 (contrast 1) is greater than stage 3 (contrast 2). PairwiseTest(PhyloExpressionSetExample,          modules = list(contrast1 = 1, contrast2 = 2),           altHypothesis = \"greater\",          permutations = 1000) #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #> $p.value #> [1] 0.4174285 #>  #> $std.dev #> [1] 0.05238544 0.05178879 0.05066156 0.04913529 0.04877068 0.05127811 0.05492211 #>  #> $lillie.test #> [1] NA #>   # use your own permutation matrix based on which p-values (PairwiseTest) # shall be computed custom_perm_matrix <- bootMatrix(PhyloExpressionSetExample,100) #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  # We test whether TAI in contrast1 is greater than contrast 2. PairwiseTest(PhyloExpressionSetExample,          modules = list(contrast1 = 1:2, contrast2 = 3:7),           altHypothesis = \"greater\",          custom.perm.matrix = custom_perm_matrix) #> $p.value #> [1] 0.02825196 #>  #> $std.dev #>     Zygote   Quadrant   Globular      Heart    Torpedo       Bent     Mature  #> 0.05294514 0.04831905 0.04589758 0.04496874 0.04385149 0.04804513 0.05538722  #>  #> $lillie.test #> [1] NA #>"},{"path":"https://drostlab.github.io/myTAI/reference/PhyloExpressionSetExample.html","id":null,"dir":"Reference","previous_headings":"","what":"An Example PhyloExpressionSet Data Set — PhyloExpressionSetExample","title":"An Example PhyloExpressionSet Data Set — PhyloExpressionSetExample","text":"standard PhyloExpressionSet data.frame consisting standardized sequence columns store age information gene corresponding gene expression profile. standard defined follows: Phylostratum | GeneID | Expression-level 1 | ... | Expression-level N","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PhyloExpressionSetExample.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"An Example PhyloExpressionSet Data Set — PhyloExpressionSetExample","text":"http://www.plantphysiol.org/content/156/1/346/suppl/DC1","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PhyloExpressionSetExample.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"An Example PhyloExpressionSet Data Set — PhyloExpressionSetExample","text":"standard PhyloExpressionSet object.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PhyloExpressionSetExample.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"An Example PhyloExpressionSet Data Set — PhyloExpressionSetExample","text":"dataset covers 7 developmental stages Arabidopsis thaliana embryo development. initial gene expression dataset published Xiang et al., 2011 (see references section) used Quint et al., 2012 (see references section) assign evolutionary ages gene expression profile.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PhyloExpressionSetExample.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"An Example PhyloExpressionSet Data Set — PhyloExpressionSetExample","text":"Quint M et al. 2012. \"transcriptomic hourglass plant embryogenesis\". Nature (490): 98-101. Supplementary Table 2 : http://www.nature.com/nature/journal/v490/n7418/full/nature11394.html Xiang D et al. 2011. \"Genome-Wide Analysis Reveals Gene Expression Metabolic Network Dynamics Embryo Development Arabidopsis\". Plant Physiology (156): 346-356. Supplemental Table 1 : http://www.plantphysiol.org/content/156/1/346/suppl/DC1","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/PhyloExpressionSetExample.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"An Example PhyloExpressionSet Data Set — PhyloExpressionSetExample","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotBarRE.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Mean Relative Expression Levels as Barplot — PlotBarRE","title":"Plot Mean Relative Expression Levels as Barplot — PlotBarRE","text":"function takes PhyloExpressionSet DivergenceExpressionSet object input computes two defined phylostratum (divergence stratum) classes statistical significance differences mean relative expression two () corresponding phylostratum (divergence stratum) classes. test-statistic, function performs nonparametric kruskal.test  based relative expression values stored within defined phylostratum class.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotBarRE.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Mean Relative Expression Levels as Barplot — PlotBarRE","text":"","code":"PlotBarRE(   ExpressionSet,   Groups = NULL,   wLength = 0.1,   ratio = FALSE,   p.adjust.method = NULL,   ... )"},{"path":"https://drostlab.github.io/myTAI/reference/PlotBarRE.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Mean Relative Expression Levels as Barplot — PlotBarRE","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. Groups list containing phylostrata divergence-strata correspond phylostratum class divergence class. ex. evolutionary old phylostrata: PS1-3 (Class 1) evolutionary young phylostrata: PS4-12 (Class 2). case, Groups list assigned , Groups = list(c(1:3), c(4:12)). also possible define 2 groups evolutionary ages. ex. Groups = list(c(1:3),c(4:8),c(9:12)) perform kruskal.test determine statistical significance evolutionary classes PS1-3, PS4-6, PS9-12 based corresponding mean relative expression levels. wLength numeric value defining whiskers length bars. case numerous different phylostratum classes smaller wLength parameter used better visualizations. ratio boolean value specifying whether bars barplot represent mean relative expression level phylostrata belonging phylostratum class. case ratio = TRUE, ratio mean relative expression level two phylostrata classes plotted lines within barplot. parameter can used 2 class comparisons. p.adjust.method correction method adjust p-values multiple comparisons (see p.adjust possible methods). E.g., p.adjust.method = \"BH\" (Benjamini & Hochberg (1995)) p.adjust.method = \"bonferroni\" (Bonferroni correction). ... default graphics parameters.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotBarRE.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot Mean Relative Expression Levels as Barplot — PlotBarRE","text":"barplot comparing Phylostratum-Classes mean relative expression levels. Significant stages marked '*' referring statistically significant differences: (1) '*'   = P-Value <= 0.05 (2) '**'  = P-Value <= 0.005 (3) '***' = P-Value <= 0.0005","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotBarRE.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot Mean Relative Expression Levels as Barplot — PlotBarRE","text":"case large number developmental stages included input ExpressionSet,  p-values returned PlotBarRE adjusted multiple comparisons can done  specifying p.adjust.method argument.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotBarRE.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Plot Mean Relative Expression Levels as Barplot — PlotBarRE","text":"Quint M et al. 2012. \"transcriptomic hourglass plant embryogenesis\". Nature (490): 98-101. Domazet-Loso T. Tautz D. 2010. \"phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns\". Nature (468): 815-818. Myles Hollander Douglas . Wolfe (1973), Nonparametric Statistical Methods. New York: John Wiley & Sons. Pages 115-120.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/PlotBarRE.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot Mean Relative Expression Levels as Barplot — PlotBarRE","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotBarRE.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot Mean Relative Expression Levels as Barplot — PlotBarRE","text":"","code":"# read standard phylotranscriptomics data data(PhyloExpressionSetExample) data(DivergenceExpressionSetExample)  # example PhyloExpressionSet PlotBarRE(ExpressionSet = PhyloExpressionSetExample,           Groups        = list(c(1:3), c(4:12)))    # example DivergenceExpressionSet PlotBarRE(ExpressionSet = DivergenceExpressionSetExample,           Groups        = list(c(1:5), c(6:10)))    # Perform PlotBarRE() with p-value adjustment method Benjamini & Hochberg (1995) PlotBarRE(ExpressionSet   = PhyloExpressionSetExample,           Groups          = list(c(1:3), c(4:12)),           p.adjust.method = \"BH\")                        # Example: plot ratio # the ratio curve visualizes the ratio between bar 1 / bar 2 # the z - axis shows the corresponding ratio value of bar 1 / bar 2 PlotBarRE(ExpressionSet = PhyloExpressionSetExample,           Groups        = list(c(1:3), c(4:12)),           ratio         = TRUE)"},{"path":"https://drostlab.github.io/myTAI/reference/PlotCIRatio.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Transcriptome Index using bootstrapping and confidence intervals — PlotCIRatio","title":"Plot Transcriptome Index using bootstrapping and confidence intervals — PlotCIRatio","text":"Function plot compare confidence intervals Transcriptome Index transformed non-transformed expression data using bootstrapping appraoches instead permutation tests used PlotSignature.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotCIRatio.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Transcriptome Index using bootstrapping and confidence intervals — PlotCIRatio","text":"","code":"PlotCIRatio(ExpressionSet, measure, nbootstraps)"},{"path":"https://drostlab.github.io/myTAI/reference/PlotCIRatio.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Transcriptome Index using bootstrapping and confidence intervals — PlotCIRatio","text":"ExpressionSet standard PhyloExpressionSet, DivergenceExpressionSet PolymorphismsExpressionSet object. measure type transcriptome index shall computed. E.g. measure = \"TAI\" (Transcriptome Age Index), measure = \"TDI\" (Transcriptome Divergence Index), measure = \"TPI\" (Transcriptome Polymorphism Index). nbootstraps number independent bootstraps.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotCIRatio.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot Transcriptome Index using bootstrapping and confidence intervals — PlotCIRatio","text":"function can used check potential outliers (e.g. exramly highly expressed genes) transcriptome. Since Transcriptome Index weigthed mean, easily affectd outliers. , check potential outliers transcriptome data. log sqrt trandformation can alleviate effect outliers, outliers, see confidence intervals (genetated bootstrapping) non-trandformed expression data much higher variable log sqrt trandformed expression data. order compare range confidence intervals scale, plotted ratio upper lower confidence interval boundary across development.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/PlotCIRatio.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot Transcriptome Index using bootstrapping and confidence intervals — PlotCIRatio","text":"Jialin Liu","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotCIRatio.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot Transcriptome Index using bootstrapping and confidence intervals — PlotCIRatio","text":"","code":"data(\"PhyloExpressionSetExample\") PlotCIRatio(PhyloExpressionSetExample,\"TAI\",5)"},{"path":"https://drostlab.github.io/myTAI/reference/PlotCategoryExpr.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the Expression Levels of each Age or Divergence Category as Boxplot, Violinplot, or Dotplot — PlotCategoryExpr","title":"Plot the Expression Levels of each Age or Divergence Category as Boxplot, Violinplot, or Dotplot — PlotCategoryExpr","text":"function visualizes expression level distribution phylostratum time point experiment boxplot, dot plot, violin plot enabling users quantify age (PS) divergence (DS) category specific contribution corresponding transcriptome.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotCategoryExpr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the Expression Levels of each Age or Divergence Category as Boxplot, Violinplot, or Dotplot — PlotCategoryExpr","text":"","code":"PlotCategoryExpr(   ExpressionSet,   legendName,   test.stat = TRUE,   type = \"category-centered\",   distr.type = \"boxplot\",   y.ticks = 10,   log.expr = FALSE,   gene.set = NULL )"},{"path":"https://drostlab.github.io/myTAI/reference/PlotCategoryExpr.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the Expression Levels of each Age or Divergence Category as Boxplot, Violinplot, or Dotplot — PlotCategoryExpr","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. legendName character string specifying whether \"PS\" \"DS\" used compute relative expression profiles. test.stat logical value indicating whether Benjamini-Hochberg adjusted kruskal.test applied determine significant differences age divergence category specific expression. type type age divergence category comparison. Specifications can type = \"category-centered\" type = \"stage-centered\". distr.type format visualizing age divergence category specific expression distributions. Either distr.type = \"boxplot\", distr.type = \"dotplot\", distr.type = \"violin\". y.ticks number y-axis ticks (default y.ticks = 10). log.expr logical value specifying whether expression levels internally log2-transformed visualization. gene.set character vector storing gene ids gene expression levels shall visualized.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotCategoryExpr.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the Expression Levels of each Age or Divergence Category as Boxplot, Violinplot, or Dotplot — PlotCategoryExpr","text":"boxplot, violin plot, dot plot visualizing gene expression levels different PS DS categories. Furthermore, statistical test results returned kruskal.test printed console. (1) '*'   = P-Value <= 0.05 (2) '**'  = P-Value <= 0.005 (3) '***' = P-Value <= 0.0005 (4) 'n.s.' = significant = P-Value > 0.05","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotCategoryExpr.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot the Expression Levels of each Age or Divergence Category as Boxplot, Violinplot, or Dotplot — PlotCategoryExpr","text":"way visualizing gene expression distribution age (PS) divergence (DS) category developmental stages experiments allows users detect specific age divergence categories contributing significant levels gene expression underlying biological process (transcriptome). quantification allows users conclude genes originating specific PS DS contribute significantly overall transcriptome genes originating different PS DS categories. specialized analyses PlotMeans, PlotRE, PlotBarRE, etc. allow study exact mean expression patterns age divergence categories. statistical quantification differences expression levels different age divergence categories done performing kruskal.test Benjamini & Hochberg p-value adjustment multiple comparisons. type = \"category-centered\" , kruskal.test quantifies differences gene expression combinations age divergence categories stage experiment separately. , significant p-value quantifies least one pairwise comparison age divergence categories significantly differ gene expression distribution. type analysis allows users detect stages experiments show high diviation age divergence category contributions overall transcriptome significant deviations age divergence categories, suggesting equal age divergence category contributions overall transcriptome. type = \"stage-centered\" , kruskal.test quantifies differences gene expression stages experiments age divergence category separately. Hence, test quantifies whether gene expression distribution single age divergence category significantly changes throughout development experiments. type analysis allows users detect specific age divergence categories significantly change expression levels throughout development experiments. Argument Specifications: Argument: type type = \"category-centered\" specification allows users compare differences age  divergence categories stage experiment. type = \"stage-centered\" specification allows users compare differences age  divergence categories stages experiments. Argument: distr.type distr.type = \"boxplot\" specification allows users visualize expression distribution PS DS boxplot. distr.type = \"violin\" specification allows users visualize expression distribution PS DS violin plot. distr.type = \"dotplot\" specification allows users visualize expression distribution PS DS dot plot. Finally, users can specify gene.set (subset genes included input ExpressioSet) expression levels visualized boxplot, dotplot, violinplot.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/PlotCategoryExpr.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot the Expression Levels of each Age or Divergence Category as Boxplot, Violinplot, or Dotplot — PlotCategoryExpr","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotCategoryExpr.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the Expression Levels of each Age or Divergence Category as Boxplot, Violinplot, or Dotplot — PlotCategoryExpr","text":"","code":"data(PhyloExpressionSetExample) data(DivergenceExpressionSetExample)  if (FALSE) { # \\dontrun{  # category-centered visualization of PS specific expression level distributions (log-scale) PlotCategoryExpr(ExpressionSet = PhyloExpressionSetExample,                      legendName    = \"PS\",                      test.stat     = TRUE,                      type          = \"category-centered\",                      distr.type    = \"boxplot\",                      log.expr      = TRUE)                        # stage-centered visualization of PS specific expression level distributions (log-scale) PlotCategoryExpr(ExpressionSet = PhyloExpressionSetExample,                      legendName    = \"PS\",                      test.stat     = TRUE,                      distr.type    = \"boxplot\",                      type          = \"stage-centered\",                      log.expr      = TRUE)                                                                                        # category-centered visualization of PS specific expression level distributions (log-scale) # as violoin plot PlotCategoryExpr(ExpressionSet = PhyloExpressionSetExample,                      legendName    = \"PS\",                      test.stat     = TRUE,                      distr.type    = \"violin\",                      type          = \"stage-centered\",                      log.expr      = TRUE)     # analogous for DivergenceExpressionSets PlotCategoryExpr(ExpressionSet = DivergenceExpressionSetExample,                      legendName    = \"DS\",                      test.stat     = TRUE,                      type          = \"category-centered\",                      distr.type    = \"boxplot\",                      log.expr      = TRUE)   # visualize the expression levels of 500 example genes set.seed(234) example.gene.set <- PhyloExpressionSetExample[sample(1:25260,500) , 2]  PlotCategoryExpr(ExpressionSet = PhyloExpressionSetExample,                  legendName    = \"PS\",                  test.stat     = TRUE,                  type          = \"category-centered\",                  distr.type    = \"boxplot\",                  log.expr      = TRUE,                  gene.set      = example.gene.set)                   } # }"},{"path":"https://drostlab.github.io/myTAI/reference/PlotContribution.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Cumulative Transcriptome Index — PlotContribution","title":"Plot Cumulative Transcriptome Index — PlotContribution","text":"function computes cumulative contribution Phylostratum Divergence Stratum global TAI TDI profile.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotContribution.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Cumulative Transcriptome Index — PlotContribution","text":"","code":"PlotContribution(   ExpressionSet,   legendName = NULL,   xlab = \"Ontogeny\",   ylab = \"Transcriptome Index\",   main = \"\",   y.ticks = 10 )"},{"path":"https://drostlab.github.io/myTAI/reference/PlotContribution.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Cumulative Transcriptome Index — PlotContribution","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. legendName character string specifying whether \"PS\" \"DS\" used compute relative expression profiles. xlab label x-axis. ylab label y-axis. main main title. y.ticks numeric value specifying number ticks drawn y-axis.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotContribution.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot Cumulative Transcriptome Index — PlotContribution","text":"Introduced Domazet-Loso Tautz (2010), function allows users visualize cumulative contribution Phylostratum Divergence Stratum global Transcriptome Age Index Transcriptome Divergence Index profile quantify Phylostratum Divergence Stratum influences profile global TAI TDI pattern.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotContribution.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Plot Cumulative Transcriptome Index — PlotContribution","text":"Domazet-Loso T. Tautz D. (2010). phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns. Nature (468): 815-818.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/PlotContribution.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot Cumulative Transcriptome Index — PlotContribution","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotContribution.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot Cumulative Transcriptome Index — PlotContribution","text":"","code":"data(PhyloExpressionSetExample)  data(DivergenceExpressionSetExample)    # visualize phylostratum contribution to global TAI  PlotContribution(PhyloExpressionSetExample, legendName = \"PS\")     # visualize divergence stratum contribution to global TDI  PlotContribution(DivergenceExpressionSetExample, legendName = \"DS\")"},{"path":"https://drostlab.github.io/myTAI/reference/PlotCorrelation.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the Correlation Between Phylostrata and Divergence Strata — PlotCorrelation","title":"Plot the Correlation Between Phylostrata and Divergence Strata — PlotCorrelation","text":"function plots correlation coefficient phylostratum values divergence-stratum values given PhyloExpressionSet DivergenceExpressionSet. function can used test whether given PS distribution DS distribution linear correlated independence PS DS can assumed subsequent analyses (Quint et al., 2012).","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotCorrelation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the Correlation Between Phylostrata and Divergence Strata — PlotCorrelation","text":"","code":"PlotCorrelation(   PhyloExpressionSet,   DivergenceExpressionSet,   method = \"pearson\",   linearModel = FALSE,   xlab = \"Phylostratum\",   ylab = \"Divergencestratum\" )"},{"path":"https://drostlab.github.io/myTAI/reference/PlotCorrelation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the Correlation Between Phylostrata and Divergence Strata — PlotCorrelation","text":"PhyloExpressionSet standard PhyloExpressionSet object. DivergenceExpressionSet standard DivergenceExpressionSet object. method character string specifying correlation method cbe used, e.g. \"pearson\", \"kendall\", \"spearman\". linearModel boolean value specifying whether linear model fitted data furthermore, visualized corresponding plot. xlab label x-axis. ylab label y-axis.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotCorrelation.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the Correlation Between Phylostrata and Divergence Strata — PlotCorrelation","text":"jitter-correlation-plot PS DS correlation.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotCorrelation.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Plot the Correlation Between Phylostrata and Divergence Strata — PlotCorrelation","text":"Quint M et al. (2012). transcriptomic hourglass plant embryogenesis. Nature (490): 98-101. Drost HG et al. (2015) Evidence Active Maintenance Phylotranscriptomic Hourglass Patterns Animal Plant Embryogenesis. Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/PlotCorrelation.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot the Correlation Between Phylostrata and Divergence Strata — PlotCorrelation","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotCorrelation.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the Correlation Between Phylostrata and Divergence Strata — PlotCorrelation","text":"","code":"# read standard phylotranscriptomics data data(PhyloExpressionSetExample) data(DivergenceExpressionSetExample)   # plot the PS and DS correlation PlotCorrelation(PhyloExpressionSetExample,                  DivergenceExpressionSetExample,                  method      = \"pearson\",                  linearModel = TRUE) #> `geom_smooth()` using formula = 'y ~ s(x, bs = \"cs\")'"},{"path":"https://drostlab.github.io/myTAI/reference/PlotDistribution.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the Frequency Distribution of Phylostrata or Divergence Strata — PlotDistribution","title":"Plot the Frequency Distribution of Phylostrata or Divergence Strata — PlotDistribution","text":"function plots frequency distribution genes within corresponding phylostratigraphic map divergence map can used fastly visualize PS DS distribution given phylostratum vector divergence-stratum vector.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotDistribution.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the Frequency Distribution of Phylostrata or Divergence Strata — PlotDistribution","text":"","code":"PlotDistribution(   PhyloExpressionSet,   legendName = \"PS\",   as.ratio = FALSE,   use.only.map = FALSE,   xlab = NULL,   ylab = NULL )"},{"path":"https://drostlab.github.io/myTAI/reference/PlotDistribution.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the Frequency Distribution of Phylostrata or Divergence Strata — PlotDistribution","text":"PhyloExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. legendName character string specifying whether \"PS\" \"DS\" visualized. .ratio boolean value specifying whether relative frequencies instead absolute frequencies shall plotted. use..map logical value indicating whether Phylostratigraphic Map Divergence Map passed ExpressionSet argument instead standard ExpressionSet object. xlab label x-axis. ylab label y-axis.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotDistribution.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the Frequency Distribution of Phylostrata or Divergence Strata — PlotDistribution","text":"barplot showing phylostratum distribution divergence-stratum distribution given numeric vector containing PS DS values.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotDistribution.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot the Frequency Distribution of Phylostrata or Divergence Strata — PlotDistribution","text":"frequency distribution genes subset genes might interest subsequent analyses. Example: Filtering genes using gene cluster algorithms can result different groups (classes) genes. gene group phylostratum divergence-stratum distribution can visualized using function can compared different groups. analysis allows compare different gene expression profiles (gene groups general) based evolutionary origins evolutionary relationships.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/PlotDistribution.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot the Frequency Distribution of Phylostrata or Divergence Strata — PlotDistribution","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotDistribution.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the Frequency Distribution of Phylostrata or Divergence Strata — PlotDistribution","text":"","code":"# load PhyloExpressionSet data(PhyloExpressionSetExample)  # plot the phylostratum distribution of a PhyloExpressionSet PlotDistribution(PhyloExpressionSetExample)   # plot the relative frequency distribution of a PhyloExpressionSet PlotDistribution(PhyloExpressionSetExample, as.ratio = TRUE)    # a example for visualizing the PS distribution for a subset of genes PlotDistribution(PhyloExpressionSetExample[sample(20000,5000) , ], as.ratio = TRUE)"},{"path":"https://drostlab.github.io/myTAI/reference/PlotEnrichment.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the Phylostratum or Divergence Stratum Enrichment of a given Gene Set — PlotEnrichment","title":"Plot the Phylostratum or Divergence Stratum Enrichment of a given Gene Set — PlotEnrichment","text":"function computes visualizes significance enriched (underrepresented) Phylostrata Divergence Strata within input test.set.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotEnrichment.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the Phylostratum or Divergence Stratum Enrichment of a given Gene Set — PlotEnrichment","text":"","code":"PlotEnrichment(   ExpressionSet,   test.set,   use.only.map = FALSE,   measure = \"log-foldchange\",   complete.bg = TRUE,   legendName = \"\",   over.col = \"steelblue\",   under.col = \"midnightblue\",   epsilon = 1e-05,   cex.legend = 1,   cex.asterisk = 1,   plot.bars = TRUE,   p.adjust.method = NULL,   ... )"},{"path":"https://drostlab.github.io/myTAI/reference/PlotEnrichment.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the Phylostratum or Divergence Stratum Enrichment of a given Gene Set — PlotEnrichment","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object (case .map = FALSE). test.set character vector storing gene ids PS/DS enrichment analyses performed. use..map logical value indicating whether instead standard ExpressionSet Phylostratigraphic Map Divergene Map passed function. measure character string specifying measure used quantify representation PS/DS. Measures can either measure = \"foldchange\" (odds) measure = \"log-foldchange\" (log-odds). complete.bg logical value indicating whether entire background set input ExpressionSet considered performing Fisher's exact test (complete.bg = TRUE) whether genes stored test.set excluded background set performing Fisher's exact test (complete.bg = FALSE). legendName character string specifying whether \"PS\" \"DS\" used compute relative expression profiles. .col color overrepresentation bars. .col color underrepresentation bars. epsilon small value shift values epsilon avoid log(0) computations. cex.legend cex value legend. cex.asterisk cex value asterisk. plot.bars logical value specifying whether bars visualized whether p.values enrichment.matrix returned. p.adjust.method correction method adjust p-values multiple comparisons (see p.adjust possible methods). E.g., p.adjust.method = \"BH\" (Benjamini & Hochberg (1995)) p.adjust.method = \"bonferroni\" (Bonferroni correction). ... default graphics parameters.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotEnrichment.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot the Phylostratum or Divergence Stratum Enrichment of a given Gene Set — PlotEnrichment","text":"Phylostratum Divergence Stratum enrichment analysis motivated Sestak Domazet-Loso (2015) perform Phylostratum Divergence Stratum enrichment analyses correlate organ evolution origin organ specific genes. detail function takes Phylostratum Divergence Stratum distribution genes stored input ExpressionSet background set Phylostratum Divergence Stratum distribution test.set performes fisher.test Phylostratum Divergence Stratum quantify statistical significance - underrepresentated Phylostrata Divergence Strata within set selected test.set genes. visualize odds log-odds underrepresented genes within test.set following procedure performed: N_ij denotes number genes group j deriving PS , = 1, .. , n j = 1 denotes background set j = 2 denotes test.set N_i. denotes total number genes within PS N_.j denotes total number genes within group j N_.. total number genes within groups j PS f_ij = N_ij / N_.. g_ij = f_ij / f_.j denote relative frequencies groups f_i. denotes group sum f_ij result fold-change value (odds) denoted C = g_i2 / f_i. visualized zero. case large number Phylostrata Divergence Strata included input  ExpressionSet, p-values returned PlotEnrichment adjusted  multiple comparisons can done specifying p.adjust.method argument.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotEnrichment.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Plot the Phylostratum or Divergence Stratum Enrichment of a given Gene Set — PlotEnrichment","text":"Sestak Domazet-Loso (2015). Phylostratigraphic Profiles Zebrafish Uncover Chordate Origins Vertebrate Brain. Mol. Biol. Evol. 32(2): 299-312.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/PlotEnrichment.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot the Phylostratum or Divergence Stratum Enrichment of a given Gene Set — PlotEnrichment","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotEnrichment.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the Phylostratum or Divergence Stratum Enrichment of a given Gene Set — PlotEnrichment","text":"","code":"data(PhyloExpressionSetExample)  set.seed(123) test_set <- sample(PhyloExpressionSetExample[ , 2],10000)  ## Examples with complete.bg = TRUE ## Hence: the entire background set of the input ExpressionSet is considered  ## when performing Fisher's exact test   # measure: log-foldchange PlotEnrichment(ExpressionSet = PhyloExpressionSetExample,                test.set      = test_set ,                 legendName    = \"PS\",                 measure       = \"log-foldchange\")  #> $p.values #>       PS1       PS2       PS3       PS4       PS5       PS6       PS7       PS8  #> 0.4693540 0.2894449 0.9407912 0.7844042 0.6941342 0.3376881 0.7599214 0.3534216  #>       PS9      PS10      PS11      PS12  #> 0.2070409 0.5247578 0.8226034 0.4035404  #>  #> $enrichment.matrix #>            BG_Set     Test_Set #> PS1  -0.007173974  0.010879188 #> PS2   0.013314604 -0.020557911 #> PS3   0.004816575 -0.007381227 #> PS4  -0.006219847  0.009440103 #> PS5   0.016601366 -0.025707696 #> PS6  -0.027725930  0.041308721 #> PS7   0.022156857 -0.034481130 #> PS8  -0.068477640  0.098607672 #> PS9  -0.081220293  0.115747944 #> PS10  0.024420954 -0.038081789 #> PS11 -0.020107047  0.030153208 #> PS12  0.022430353 -0.034915301 #>                                  # measure: foldchange PlotEnrichment(ExpressionSet = PhyloExpressionSetExample,                test.set      = test_set ,                 legendName    = \"PS\",                 measure       = \"foldchange\")  #> $p.values #>       PS1       PS2       PS3       PS4       PS5       PS6       PS7       PS8  #> 0.4693540 0.2894449 0.9407912 0.7844042 0.6941342 0.3376881 0.7599214 0.3534216  #>       PS9      PS10      PS11      PS12  #> 0.2070409 0.5247578 0.8226034 0.4035404  #>  #> $enrichment.matrix #>         BG_Set  Test_Set #> PS1  0.9950396  1.007570 #> PS2  1.0092721 -1.014352 #> PS3  1.0033453 -1.005131 #> PS4  0.9956976  1.006565 #> PS5  1.0115771 -1.017984 #> PS6  0.9809623  1.029052 #> PS7  1.0154904 -1.024211 #> PS8  0.9536013  1.070804 #> PS9  0.9452185  1.083597 #> PS10 1.0170758 -1.026755 #> PS11 0.9861409  1.021149 #> PS12 1.0156713 -1.024500 #>                      ## Examples with complete.bg = FALSE ## Hence: the test.set genes are excluded from the background set before ## Fisher's exact test is performed                                               # measure: log-foldchange PlotEnrichment(ExpressionSet = PhyloExpressionSetExample,                test.set      = test_set ,                 complete.bg  = FALSE,                legendName    = \"PS\",                 measure       = \"log-foldchange\")  #> $p.values #>       PS1       PS2       PS3       PS4       PS5       PS6       PS7       PS8  #> 0.6315000 0.4817838 0.9727738 0.8469003 0.7924055 0.5264504 0.8657001 0.5361027  #>       PS9      PS10      PS11      PS12  #> 0.3975804 0.6883696 0.8910157 0.5916625  #>  #> $enrichment.matrix #>            BG_Set     Test_Set #> PS1  -0.003093762  0.007785426 #> PS2   0.005800680 -0.014757232 #> PS3   0.002089538 -0.005291689 #> PS4  -0.002683565  0.006756538 #> PS5   0.007244479 -0.018463217 #> PS6  -0.011836114  0.029472607 #> PS7   0.009695676 -0.024785453 #> PS8  -0.028657241  0.069950431 #> PS9  -0.033781176  0.081966769 #> PS10  0.010698553 -0.027383236 #> PS11 -0.008615890  0.021537317 #> PS12  0.009816700 -0.025098601 #>                                  # measure: foldchange PlotEnrichment(ExpressionSet = PhyloExpressionSetExample,                test.set      = test_set ,                 complete.bg   = FALSE,                legendName    = \"PS\",                 measure       = \"foldchange\")       #> $p.values #>       PS1       PS2       PS3       PS4       PS5       PS6       PS7       PS8  #> 0.6315000 0.4817838 0.9727738 0.8469003 0.7924055 0.5264504 0.8657001 0.5361027  #>       PS9      PS10      PS11      PS12  #> 0.3975804 0.6883696 0.8910157 0.5916625  #>  #> $enrichment.matrix #>         BG_Set  Test_Set #> PS1  0.9978578  1.005411 #> PS2  1.0040290 -1.010282 #> PS3  1.0014499 -1.003676 #> PS4  0.9981414  1.004695 #> PS5  1.0050356 -1.012884 #> PS6  0.9918281  1.020642 #> PS7  1.0067492 -1.017344 #> PS8  0.9803147  1.049725 #> PS9  0.9768405  1.058501 #> PS10 1.0074452 -1.019167 #> PS11 0.9940378  1.015061 #> PS12 1.0068286 -1.017552 #>"},{"path":"https://drostlab.github.io/myTAI/reference/PlotGeneSet.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the Expression Profiles of a Gene Set — PlotGeneSet","title":"Plot the Expression Profiles of a Gene Set — PlotGeneSet","text":"function simply visualizes gene expression profiles defined subset genes stored input ExpressionSet.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotGeneSet.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the Expression Profiles of a Gene Set — PlotGeneSet","text":"","code":"PlotGeneSet(   ExpressionSet,   gene.set,   get.subset = FALSE,   use.only.map = FALSE,   colors = NULL,   plot.legend = TRUE,   y.ticks = 6,   digits.ylab = 4,   ... )"},{"path":"https://drostlab.github.io/myTAI/reference/PlotGeneSet.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the Expression Profiles of a Gene Set — PlotGeneSet","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. gene.set character vector storing gene ids gene expression profiles shall visualized. get.subset logical value indicating whether ExpressionSet subset selected gene.set retuned. use..map logical value indicating whether instead standard ExpressionSet Phylostratigraphic Map Divergene Map passed function. colors colors gene expression profiles. Default: colors = NULL, hence default colours used. plot.legend logical value indicating whether gene ids printed legend next plot. y.ticks numeric value specifying number ticks drawn y-axis. digits.ylab numeric value specifying number digits shown expression levels y-axis. ... additional parameters passed matplot.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotGeneSet.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot the Expression Profiles of a Gene Set — PlotGeneSet","text":"function simply visualizes subsets gene expression levels set genes stored input ExpressionSet.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/PlotGeneSet.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot the Expression Profiles of a Gene Set — PlotGeneSet","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotGeneSet.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the Expression Profiles of a Gene Set — PlotGeneSet","text":"","code":"data(PhyloExpressionSetExample)  # the best parameter setting to visualize this plot: # png(\"test_png.png\",700,400) PlotGeneSet(ExpressionSet = PhyloExpressionSetExample,              gene.set      = PhyloExpressionSetExample[1:5, 2],              type          = \"l\",              lty           = 1,              lwd           = 4,             xlab          = \"Ontogeny\",             ylab          = \"Expression Level\")   # dev.off()  # In case you would like to work with the expression levels # of selected genes you can specify the 'get.subset' argument:  PlotGeneSet(ExpressionSet = PhyloExpressionSetExample,              gene.set      = PhyloExpressionSetExample[1:5, 2],              get.subset    = TRUE) #>   Phylostratum      GeneID    Zygote   Quadrant  Globular      Heart   Torpedo #> 1            1 at1g01040.2  2173.635  1911.2001  1152.555  1291.4224  1000.253 #> 2            1 at1g01050.1  1501.014  1817.3086  1665.309  1564.7612  1496.321 #> 3            1 at1g01070.1  1212.793  1233.0023   939.200   929.6195   864.218 #> 4            1 at1g01080.2  1016.920   936.3837  1181.338  1329.4734  1392.643 #> 5            1 at1g01090.1 11424.567 16778.1685 34366.649 39775.6405 56231.569 #>         Bent    Mature #> 1   962.9772 1696.4274 #> 2  1114.6435 1071.6555 #> 3   877.2060  894.8189 #> 4  1287.9746  861.2605 #> 5 66980.3673 7772.5617   # get a gene subset using only a phylostratihraphic map ExamplePSMap <- PhyloExpressionSetExample[ , 1:2]  PlotGeneSet(ExpressionSet = ExamplePSMap,              gene.set      = PhyloExpressionSetExample[1:5, 2],              get.subset    = TRUE,             use.only.map  = TRUE) #>   Phylostratum      GeneID #> 1            1 at1g01040.2 #> 2            1 at1g01050.1 #> 3            1 at1g01070.1 #> 4            1 at1g01080.2 #> 5            1 at1g01090.1"},{"path":"https://drostlab.github.io/myTAI/reference/PlotGroupDiffs.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the significant differences between gene expression distributions of PS or DS groups — PlotGroupDiffs","title":"Plot the significant differences between gene expression distributions of PS or DS groups — PlotGroupDiffs","text":"function performs test quantify statistical significance global expression level distributions groups PS DS. therefore, allows users investigate significant groups PS DS significantly differ gene expression level distibution within specific developmental stages experiments.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotGroupDiffs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the significant differences between gene expression distributions of PS or DS groups — PlotGroupDiffs","text":"","code":"PlotGroupDiffs(   ExpressionSet,   Groups = NULL,   legendName = NULL,   stat.test = \"wilcox.test\",   col = c(\"turquoise3\", \"magenta3\"),   plot.type = NULL,   gene.set = NULL,   ... )"},{"path":"https://drostlab.github.io/myTAI/reference/PlotGroupDiffs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the significant differences between gene expression distributions of PS or DS groups — PlotGroupDiffs","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. Groups list containing phylostrata divergence strata correspond phylostratum class divergence class. ex. evolutionary old phylostrata: PS1-3 (Class 1) evolutionary young phylostrata: PS4-12 (Class 2). case, list assigned , Groups = list(c(1:3), c(4:12)). legendName character string specifying whether \"PS\" \"DS\" used compute relative expression profiles. stat.test statistical test quantify PS DS group differences. col colors two box plots representing expression level distributions selected PS/DS groups. plot.type type plot shall drawn visualized difference PS/DS group specific expression . gene.set character vector storing gene ids group specific differences shall statistically quantified. ... additional plot parameters.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotGroupDiffs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot the significant differences between gene expression distributions of PS or DS groups — PlotGroupDiffs","text":"purpose function detect groups PS DS significantly differ gene expression level distributions global (transcriptome) level. Since relative expression levels (PlotRE) PS DS specific mean expression levels (PlotMeans) biased highly expressed genes, function allows users objectively test significant difference transcriptome expression groups PS DS specific developmental stage experiment. particular, function divides (developmental stage separately) gene expression levels two groups: Group1 = genes deriving selected PS/DS group 1 Group2 = genes deriving selected PS/DS group 2. Within stage expression level distributions group 1 group 2 statistically quantified using wilcox.test.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/PlotGroupDiffs.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot the significant differences between gene expression distributions of PS or DS groups — PlotGroupDiffs","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotGroupDiffs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the significant differences between gene expression distributions of PS or DS groups — PlotGroupDiffs","text":"","code":"data(PhyloExpressionSetExample)  PlotGroupDiffs(ExpressionSet = PhyloExpressionSetExample,                Groups        = list(group_1 = 1:3,group_2 = 4:12),                legendName    = \"PS\",                type          = \"b\",                lwd           = 6,                xlab          = \"Ontogeny\") #>                               Zygote     Quadrant     Globular        Heart #> p.value ( wilcox.test ) 3.362424e-34 3.017793e-42 1.987181e-71 1.546567e-66 #>                              Torpedo         Bent       Mature #> p.value ( wilcox.test ) 1.174961e-85 9.975191e-90 1.007102e-74                                 # only receive the p-values without the corresponding plot                PlotGroupDiffs(ExpressionSet = PhyloExpressionSetExample,                Groups        = list(group_1 = 1:3,group_2 = 4:12),                legendName    = \"PS\",                plot.p.vals   = FALSE,                type          = \"b\",                lwd           = 6,                xlab          = \"Ontogeny\") #>                               Zygote     Quadrant     Globular        Heart #> p.value ( wilcox.test ) 3.362424e-34 3.017793e-42 1.987181e-71 1.546567e-66 #>                              Torpedo         Bent       Mature #> p.value ( wilcox.test ) 1.174961e-85 9.975191e-90 1.007102e-74                                 # quantify the significant difference of a selected set of genes # only receive the p-values without the corresponding plot set.seed(123) ExampleGeneSet <- sample(PhyloExpressionSetExample[ , 2],5000)                                PlotGroupDiffs(ExpressionSet = PhyloExpressionSetExample,                Groups        = list(group_1 = 1:3,group_2 = 4:12),                legendName    = \"PS\",                plot.p.vals   = FALSE,                gene.set      = ExampleGeneSet)                  #>                               Zygote     Quadrant     Globular        Heart #> p.value ( wilcox.test ) 7.440596e-07 5.336307e-09 7.197872e-17 2.406206e-16 #>                              Torpedo         Bent       Mature #> p.value ( wilcox.test ) 1.638876e-17 4.562901e-17 1.684535e-15   # plot differences as boxplot for each developmental stage PlotGroupDiffs(ExpressionSet = tf(PhyloExpressionSetExample,log2),                Groups        = list(group_1 = 1:3,group_2 = 4:12),                legendName    = \"PS\",                plot.type     = \"boxplot\") #>                               Zygote     Quadrant     Globular        Heart #> p.value ( wilcox.test ) 3.362424e-34 3.017793e-42 1.987181e-71 1.546567e-66 #>                              Torpedo         Bent       Mature #> p.value ( wilcox.test ) 1.174961e-85 9.975191e-90 1.007102e-74"},{"path":"https://drostlab.github.io/myTAI/reference/PlotMeans.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Mean Expression Profiles — PlotMeans","title":"Plot Mean Expression Profiles — PlotMeans","text":"function computes age category corresponding mean expression profile.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotMeans.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Mean Expression Profiles — PlotMeans","text":"","code":"PlotMeans(   ExpressionSet,   Groups = NULL,   modules = NULL,   legendName = \"age\",   xlab = \"Ontogeny\",   ylab = \"Mean Expression Level\",   main = \"\",   y.ticks = 10,   adjust.range = TRUE,   alpha = 0.008,   ... )"},{"path":"https://drostlab.github.io/myTAI/reference/PlotMeans.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Mean Expression Profiles — PlotMeans","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. Groups list containing age categories mean expression levels shall drawn. ex. evolutionary users can compare old phylostrata: PS1-3 (Class 1) evolutionary young phylostrata: PS4-12 (Class 2). example, list assigned , Groups = list(c(1:3), c(4:12)). group options limited 2 Groups. modules list storing three elements specifying modules: early, mid, late. element expects numeric vector specifying developmental stages experiments correspond module. example, module = list(early = 1:2, mid = 3:5, late = 6:7) devides dataset storing seven developmental stages 3 modules. Default modules = NULL. specified, shaded drawn illustrate stages corresponding mid module. legendName character string specifying legend title. xlab label x-axis. ylab label y-axis. main main text. y.ticks number ticks shall drawn y-axis. adjust.range logical indicating whether y-axis scale shall adjusted range case two groups specified. Default adjust.range = TRUE. alpha transparency shaded area ([0,1]). Default alpha = 0.1. ... place holder old version PlotMeans based base graphics instead ggplot2.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotMeans.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot Mean Expression Profiles — PlotMeans","text":"plot showing mean expression profiles age category.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotMeans.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot Mean Expression Profiles — PlotMeans","text":"plot may useful compare absolute mean expression levels age category across stages. different developmental processes different phylostratum divergence-stratum classes might expressed others, hence contributing overall phylotranscriptomics pattern (TAI TDI). plot can help identify phylostratum divergence-stratum classes contributes overall transcriptome given developmental process.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/PlotMeans.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot Mean Expression Profiles — PlotMeans","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotMeans.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot Mean Expression Profiles — PlotMeans","text":"","code":"### Example using a PhyloExpressionSet ### and DivergenceExpressionSet # load PhyloExpressionSet data(PhyloExpressionSetExample)  # load PhyloExpressionSet data(DivergenceExpressionSetExample)  # plot evolutionary old PS (PS1-3) vs evolutionary young PS (PS4-12) PlotMeans(PhyloExpressionSetExample,           Groups = list(c(1:3), c(4:12)),            legendName = \"PS\",           adjust.range = TRUE)   # if users wish to not adjust the y-axis scale when  # 2 groups are selected they can specify: adjust.range = FALSE PlotMeans(PhyloExpressionSetExample,           Groups = list(c(1:3), c(4:12)),            legendName = \"PS\",           adjust.range = FALSE)                        # plot conserved DS (DS1-5) vs divergent DS (PS6-10) # NOTE: DS are always defined in the range 1, 2, ... , 10. # Hence, make sure that your groups are within this range! PlotMeans(DivergenceExpressionSetExample,           Groups = list(c(1:5), c(6:10)),            legendName = \"DS\",           adjust.range = TRUE)"},{"path":"https://drostlab.github.io/myTAI/reference/PlotMedians.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Median Expression Profiles — PlotMedians","title":"Plot Median Expression Profiles — PlotMedians","text":"function computes age category corresponding median expression profile.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotMedians.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Median Expression Profiles — PlotMedians","text":"","code":"PlotMedians(   ExpressionSet,   Groups = NULL,   legendName = \"age\",   xlab = \"Ontogeny\",   ylab = \"Median Expression Level\",   main = \"\",   y.ticks = 10,   adjust.range = TRUE )"},{"path":"https://drostlab.github.io/myTAI/reference/PlotMedians.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Median Expression Profiles — PlotMedians","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. Groups list containing age categories median expression levels shall drawn. ex. evolutionary users can compare old phylostrata: PS1-3 (Class 1) evolutionary young phylostrata: PS4-12 (Class 2). example, list assigned , Groups = list(c(1:3), c(4:12)). group options limited 2 Groups. legendName character string specifying legend title. xlab label x-axis. ylab label y-axis. main main text. y.ticks number ticks shall drawn y-axis. adjust.range logical indicating whether y-axis scale shall adjusted range case two groups specified. Default adjust.range = TRUE.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotMedians.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot Median Expression Profiles — PlotMedians","text":"plot showing median expression profiles age category.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotMedians.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot Median Expression Profiles — PlotMedians","text":"plot may useful compare absolute median expression levels age category across stages. different developmental processes different phylostratum divergence-stratum classes might expressed others, hence contributing overall phylotranscriptomics pattern (TAI TDI). plot can help identify phylostratum divergence-stratum classes contributes overall transcriptome given developmental process.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/PlotMedians.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot Median Expression Profiles — PlotMedians","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotMedians.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot Median Expression Profiles — PlotMedians","text":"","code":"### Example using a PhyloExpressionSet ### and DivergenceExpressionSet # load PhyloExpressionSet data(PhyloExpressionSetExample)  # load PhyloExpressionSet data(DivergenceExpressionSetExample)  # plot evolutionary old PS (PS1-3) vs evolutionary young PS (PS4-12) PlotMedians(PhyloExpressionSetExample,           Groups = list(c(1:3), c(4:12)),            legendName = \"PS\",           adjust.range = TRUE)   # if users wish to not adjust the y-axis scale when  # 2 groups are selected they can specify: adjust.range = FALSE PlotMedians(PhyloExpressionSetExample,           Groups = list(c(1:3), c(4:12)),            legendName = \"PS\",           adjust.range = FALSE)                        # plot conserved DS (DS1-5) vs divergent DS (PS6-10) # NOTE: DS are always defined in the range 1, 2, ... , 10. # Hence, make sure that your groups are within this range! PlotMedians(DivergenceExpressionSetExample,           Groups = list(c(1:5), c(6:10)),            legendName = \"DS\",           adjust.range = TRUE)"},{"path":"https://drostlab.github.io/myTAI/reference/PlotPattern.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the Transcriptome Age Index or Transcriptome Divergence Index — PlotPattern","title":"Plot the Transcriptome Age Index or Transcriptome Divergence Index — PlotPattern","text":"Function plot TAI TDI given PhyloExpressionSet DivergenceExpressionSet object. function plot TAI TDI given PhyloExpressionSet DivergenceExpressionSet object.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotPattern.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the Transcriptome Age Index or Transcriptome Divergence Index — PlotPattern","text":"","code":"PlotPattern(   ExpressionSet,   TestStatistic = \"FlatLineTest\",   modules = NULL,   permutations = 1000,   lillie.test = FALSE,   digits.ylab = 4,   p.value = TRUE,   shaded.area = FALSE,   y.ticks = 4,   custom.perm.matrix = NULL,   ... )"},{"path":"https://drostlab.github.io/myTAI/reference/PlotPattern.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the Transcriptome Age Index or Transcriptome Divergence Index — PlotPattern","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. TestStatistic string defining type test statistics used quantify statistical significance present phylotranscriptomics pattern. Possible values can : TestStatistic = \"FlatLineTest\" : Statistical test deviation flat line. TestStatistic = \"ReductiveHourglassTest\" : Statistical test existence hourglass shape (high-low-high pattern). TestStatistic = \"EarlyConservationTest\" : Statistical test existence earlyconservation pattern (low-high-high pattern). modules list storing three elements ReductiveHourglassTest EarlyConservationTest: early, mid, late. element expects numeric vector specifying developmental stages experiments correspond module. example, module = list(early = 1:2, mid = 3:5, late = 6:7) devides dataset storing seven developmental stages 3 modules. permutations numeric value specifying number permutations performed FlatLineTest, EarlyConservationTest ReductiveHourglassTest. lillie.test boolean value specifying whether Lilliefors Kolmogorov-Smirnov Test shall performed. digits.ylab numeric value specifying number digits shown TAI TDI values y-axis. p.value boolean value specifying whether p-value test statistic shall printed within plot area. shaded.area boolean value specifying whether shaded area shall drawn developmental stages defined presumptive phylotypic period. y.ticks numeric value specifying number ticks drawn y-axis. custom.perm.matrix custom bootMatrix (permutation matrix) perform underlying test statistic visualized PlotPattern. Default custom.perm.matrix = NULL. ... default plot parameters.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotPattern.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the Transcriptome Age Index or Transcriptome Divergence Index — PlotPattern","text":"plot visualizing phylotranscriptomic pattern given PhyloExpressionSet DivergenceExpressionSet object. corresponding p-value test statistic named follows: p_flt = p-value corresponding FlatLineTest p_rht = p-value corresponding ReductiveHourglassTest p_ect = p-value corresponding EarlyConservationTest","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotPattern.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot the Transcriptome Age Index or Transcriptome Divergence Index — PlotPattern","text":"function computes permutation test quantifying statistical significance prensent phylotranscriptomics pattern. user can choose FlatLineTest, ReductiveHourglassTest, EarlyConservationTest. FlatLineTest tests significant deviation flat line. period stage significantly deviates flat line, might governed stronger selective pressure (terms natural selection) compared stages periods development. ReductiveHourglassTest specificly tests statistical significance molecular hourglass pattern (high-low-high pattern) prior biological knowlegde. corresponding p-value printed within plot (default) specifies statistical significance chosen test statistic. EarlyConservationTest specificly tests statistical significance low-high-high pattern (monotonically increasing function) prior biological knowlegde. corresponding p-value printed within plot (default) specifies statistical significance chosen test statistic. x-axis denotes developmental series (time course / experiments / ontogeny) input ExpressionSet y-axis denotes corresponding mean transcriptome age value (TAI TDI) given ExpressionSet. Furthermore, grey lines actual phylotranscriptomics pattern denotes standard deviations TAI TDI values estimated bootMatrix. low mean transcriptome age value denotes evolutionary older transcriptome active corresponding periods, whereas high mean transcriptome age value denotes evolutionary younger transcriptome active corresponding periods. mean transcriptome divergence, low mean transcriptome divergence value denotes conserved transcriptome active (two species), whereas high mean transcriptome divergence value denotes divergent transcriptome active (two species) - terms protein-sequence substitution rates. function useful fastly plot TAI TDI profile given PhyloExpressionSet DivergenceExpressionSet object statistical significance corresponding pattern. Internally function calls several graphics functions, plot, axis, legend. ellipsis argument ... graphics specific arguments can defined. Internally function specific arguments e.g. plot, axis, legend detected passed corresponding function. Hence, calling function PlotPattern, one can specify arguments plot axis legend .... case prior biological knowledge present specific period development, shaded.area argument can set TRUE function use values stored mid argument draw shaded area within corresponding period development.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotPattern.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Plot the Transcriptome Age Index or Transcriptome Divergence Index — PlotPattern","text":"Domazet-Loso T Tautz D. (2010). phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns. Nature (468): 815-818. Quint M et al. (2012). transcriptomic hourglass plant embryogenesis. Nature (490): 98-101. Drost HG et al. (2015) Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/PlotPattern.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot the Transcriptome Age Index or Transcriptome Divergence Index — PlotPattern","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotPattern.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the Transcriptome Age Index or Transcriptome Divergence Index — PlotPattern","text":"","code":"# load PhyloExpressionSet data(PhyloExpressionSetExample)  # only visualize the TAI profile without any test statistics... # this is equavalent to performing: plot(TAI(PhyloExpressionSetExample), type = \"l\", lwd = 6) PlotPattern(ExpressionSet = PhyloExpressionSetExample,             TestStatistic = NULL,             type          = \"l\",             xlab          = \"Ontogeny\",             ylab          = \"TAI\",             lwd           = 9)   # the simplest example of plotting the TAI profile of a given PhyloExpressionSet: # In this case (default) the FlatLineTest will be performed to quantify # the statistical significance of the present TAI pattern and will be drawn as 'p = ... ' # in the plot  PlotPattern(ExpressionSet = PhyloExpressionSetExample,              TestStatistic = \"FlatLineTest\",             permutations  = 100,              type          = \"l\",              xlab          = \"Ontogeny\",              ylab          = \"TAI\",              lwd           = 9) #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #>  #> Total runtime of your permutation test: 0.015  seconds. #>  #> -> We recommended using at least 20000 permutations to achieve a sufficient permutation test.   # an example performing the ReductiveHourglassTest and printing the p-value # and shaded area of the presumptive phylotypic period into the plot # Here the 'p = ...' denotes the p-value that is returned by the ReductiveHourglassTest  PlotPattern(             ExpressionSet = PhyloExpressionSetExample,             TestStatistic = \"ReductiveHourglassTest\",             modules       = list(early = 1:2,mid = 3:5,late = 6:7),              permutations  = 100,              p.value       = TRUE,              shaded.area   = TRUE,              xlab          = \"Ontogeny\",              ylab          = \"TAI\",              type          = \"l\",              lwd           = 9) #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>    # testing for early conservation model  PlotPattern( ExpressionSet = PhyloExpressionSetExample,              TestStatistic = \"EarlyConservationTest\",             modules        = list(early = 1:2,mid = 3:5,late = 6:7),              permutations   = 100,             p.value        = TRUE,              shaded.area    = TRUE,              xlab           = \"Ontogeny\",              ylab           = \"TAI\",              type           = \"l\",              lwd            = 9) #> The phylotranscriptomic pattern may not follow an early conservation pattern (low-mid-high or low-high-high). #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>                 # use your own permutation matrix custom_perm_matrix <- bootMatrix(PhyloExpressionSetExample,100) #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>   PlotPattern(ExpressionSet      = PhyloExpressionSetExample,              TestStatistic      = \"FlatLineTest\",             custom.perm.matrix = custom_perm_matrix,              type               = \"l\",              xlab               = \"Ontogeny\",              ylab               = \"TAI\",              lwd                = 9) #>  #> -> We recommended using at least 20000 permutations to achieve a sufficient permutation test."},{"path":"https://drostlab.github.io/myTAI/reference/PlotRE.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Relative Expression Levels — PlotRE","title":"Plot Relative Expression Levels — PlotRE","text":"function computes age category corresponding relative expression profile. age category corresponding relative expression profile computed follows: $$f_js = ( e_js - e_j min ) / ( e_j max - e_j min )$$ \\(e_j min\\) \\(e_j max\\) denote minimum/maximum mean expression level phylostratum j  developmental stages s. linear transformation corresponds shift \\(e_j min\\) subsequent shrinkage \\(e_j max - e_j min\\). result, relative expression level \\(f_js\\) developmental stage s minimum \\(e_js\\) 0, relative expression level \\(f_js\\) developmental stage s maximum \\(e_js\\) 1, relative expression levels \\(f_js\\) stages s range 0 1, accordingly.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotRE.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Relative Expression Levels — PlotRE","text":"","code":"PlotRE(   ExpressionSet,   Groups = NULL,   modules = NULL,   legendName = \"age\",   xlab = \"Ontogeny\",   ylab = \"Relative Expression Level\",   main = \"\",   y.ticks = 10,   adjust.range = TRUE,   alpha = 0.008,   ... )"},{"path":"https://drostlab.github.io/myTAI/reference/PlotRE.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Relative Expression Levels — PlotRE","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. Groups list containing age categories mean expression levels shall drawn. ex. evolutionary users can compare old phylostrata: PS1-3 (Class 1) evolutionary young phylostrata: PS4-12 (Class 2). example, list assigned , Groups = list(c(1:3), c(4:12)). group options limited 2 Groups. modules list storing three elements specifying modules: early, mid, late. element expects numeric vector specifying developmental stages experiments correspond module. example, module = list(early = 1:2, mid = 3:5, late = 6:7) devides dataset storing seven developmental stages 3 modules. Default modules = NULL. specified, shaded drawn illustrate stages corresponding mid module. legendName character string specifying legend title. xlab label x-axis. ylab label y-axis. main main text. y.ticks number ticks shall drawn y-axis. adjust.range logical indicating whether y-axis scale shall adjusted range case two groups specified. Default adjust.range = TRUE. alpha transparency shaded area ([0,1]). Default alpha = 0.1. ... place holder old version PlotRE based base graphics instead ggplot2.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotRE.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot Relative Expression Levels — PlotRE","text":"plot showing relative expression profiles phylostrata divergence-strata belonging group.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotRE.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot Relative Expression Levels — PlotRE","text":"Studying relative expression profiles phylostratum divergence-stratum enables detection common gene expression patterns shared several phylostrata divergence-strata. Finding similar relative expression profiles among phylostrata divergence-strata suggests phylostrata divergence-strata sharing similar relative expression profile regulated similar gene regulatory elements. Hence, common phylostrata divergence-strata might govern similar processes given developmental time course.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotRE.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Plot Relative Expression Levels — PlotRE","text":"Domazet-Loso T Tautz D. 2010. \"phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns\". Nature (468): 815-818. Quint M et al. 2012. \"transcriptomic hourglass plant embryogenesis\". Nature (490): 98-101.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/PlotRE.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot Relative Expression Levels — PlotRE","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotRE.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot Relative Expression Levels — PlotRE","text":"","code":"# read standard phylotranscriptomics data data(PhyloExpressionSetExample) data(DivergenceExpressionSetExample)  # example PhyloExpressionSet PlotRE(PhyloExpressionSetExample,        Groups = list(c(1:3), c(4:12)),         legendName = \"PS\")    # or you can choose any combination of groups PlotRE(PhyloExpressionSetExample,        Groups = list(c(1,7,9), c(2:6,8,10:12)),        legendName = \"PS\")        # example DivergenceExpressionSet PlotRE(DivergenceExpressionSetExample,        Groups = list(c(1:5), c(6:10)),         legendName = \"DS\")"},{"path":"https://drostlab.github.io/myTAI/reference/PlotReplicateQuality.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the Quality of Biological Replicates — PlotReplicateQuality","title":"Plot the Quality of Biological Replicates — PlotReplicateQuality","text":"function performs several quality checks validate biological variation replicates stages (experiments).","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotReplicateQuality.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the Quality of Biological Replicates — PlotReplicateQuality","text":"","code":"PlotReplicateQuality(   ExpressionSet,   nrep,   FUN = function(x) log(stats::var(x)),   legend.pos = \"topleft\",   stage.names = NULL,   ... )"},{"path":"https://drostlab.github.io/myTAI/reference/PlotReplicateQuality.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the Quality of Biological Replicates — PlotReplicateQuality","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. nrep either numeric value specifying constant number replicates per stage numeric vector specifying variable number replicates stage position. FUN function applied quantify variablity quality replicates. default function log(var(x)) quantifying variance replicates. legend.pos position legend, e.g. 'topleft', 'topright' (see legend). stage.names character vector specifying stage names. ... additional graphics parameters.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotReplicateQuality.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot the Quality of Biological Replicates — PlotReplicateQuality","text":"following quality checks can performed: Quantification variability replicates density function.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotReplicateQuality.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot the Quality of Biological Replicates — PlotReplicateQuality","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotReplicateQuality.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the Quality of Biological Replicates — PlotReplicateQuality","text":"","code":"data(PhyloExpressionSetExample)  # visualize log(var(x)) between replicates for each gene and developmental stage  PlotReplicateQuality(ExpressionSet = PhyloExpressionSetExample[1:5000 , 1:8],                      nrep          = 2,                      legend.pos   = \"topright\",                      ylim          = c(0,0.2),                      lwd           = 6)"},{"path":"https://drostlab.github.io/myTAI/reference/PlotSelectedAgeDistr.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the PS or DS distribution of a selected set of genes — PlotSelectedAgeDistr","title":"Plot the PS or DS distribution of a selected set of genes — PlotSelectedAgeDistr","text":"function visualizes PS DS distribution selected set genes histogram.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotSelectedAgeDistr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the PS or DS distribution of a selected set of genes — PlotSelectedAgeDistr","text":"","code":"PlotSelectedAgeDistr(   ExpressionSet,   gene.set,   legendName = NULL,   as.ratio = FALSE,   use.only.map = FALSE,   col = \"turquoise4\",   xlab = NULL,   ylab = NULL )"},{"path":"https://drostlab.github.io/myTAI/reference/PlotSelectedAgeDistr.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the PS or DS distribution of a selected set of genes — PlotSelectedAgeDistr","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. gene.set character vector storing gene ids gene expression profiles shall visualized. legendName character string specifying whether \"PS\" \"DS\" visualized. .ratio logical value indicating whether relative frequencies shall visualized. use..map logical value indicating whether Phylostratigraphic Map Divergence Map passed ExpressionSet argument instead standard ExpressionSet object. col colour bars. xlab label x-axis. ylab label y-axis.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/PlotSelectedAgeDistr.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot the PS or DS distribution of a selected set of genes — PlotSelectedAgeDistr","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotSelectedAgeDistr.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the PS or DS distribution of a selected set of genes — PlotSelectedAgeDistr","text":"","code":"data(PhyloExpressionSetExample)  # generate an example gene set set.seed(123) ExGeneSet <- sample(PhyloExpressionSetExample[ , 2], 5000)  # gene count example PlotSelectedAgeDistr(ExpressionSet = PhyloExpressionSetExample,                      gene.set      = ExGeneSet,                      legendName    = \"PS\",                      as.ratio      = TRUE)   # relative gene count example PlotSelectedAgeDistr(ExpressionSet = PhyloExpressionSetExample,                      gene.set      = ExGeneSet,                      legendName    = \"PS\",                      as.ratio      = FALSE)"},{"path":"https://drostlab.github.io/myTAI/reference/PlotSignature.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot evolutionary signatures across transcriptomes — PlotSignature","title":"Plot evolutionary signatures across transcriptomes — PlotSignature","text":"Main function visualize transcriptome indices.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotSignature.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot evolutionary signatures across transcriptomes — PlotSignature","text":"","code":"PlotSignature(   ExpressionSet,   measure = \"TAI\",   TestStatistic = \"FlatLineTest\",   modules = NULL,   permutations = 1000,   lillie.test = FALSE,   p.value = TRUE,   shaded.area = FALSE,   custom.perm.matrix = NULL,   xlab = \"Ontogeny\",   ylab = \"Transcriptome Index\",   main = \"\",   lwd = 4,   alpha = 0.1,   y.ticks = 10 )"},{"path":"https://drostlab.github.io/myTAI/reference/PlotSignature.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot evolutionary signatures across transcriptomes — PlotSignature","text":"ExpressionSet standard PhyloExpressionSet, DivergenceExpressionSet PolymorphismsExpressionSet object. measure type transcriptome index shall computed. E.g. measure = \"TAI\" (Transcriptome Age Index) measure = \"TDI\" (Transcriptome Divergence Index) measure = \"TPI\" (Transcriptome Polymorphism Index) TestStatistic string defining type test statistics used quantify statistical significance present phylotranscriptomics pattern. Possible values can : TestStatistic = \"FlatLineTest\" : Statistical test deviation flat line TestStatistic = \"ReductiveHourglassTest\" : Statistical test existence hourglass shape (high-low-high pattern) TestStatistic = \"EarlyConservationTest\" : Statistical test existence early conservation pattern (low-high-high pattern) TestStatistic = \"LateConservationTest\" : Statistical test existence late conservation pattern (high-high-low pattern) TestStatistic = \"ReverseHourglassTest\" : Statistical test existence reverse hourglass pattern (low-high-low pattern) modules list storing three elements ReductiveHourglassTest, EarlyConservationTest, LateConservationTest, ReverseHourglassTest: early, mid, late. element expects numeric vector specifying developmental stages experiments correspond module. example: module = list(early = 1:2, mid = 3:5, late = 6:7) divides dataset storing seven developmental stages 3 modules. permutations numeric value specifying number permutations performed FlatLineTest, EarlyConservationTest, LateConservationTest, ReductiveHourglassTest ReverseHourglassTest. lillie.test boolean value specifying whether Lilliefors Kolmogorov-Smirnov Test shall performed. p.value boolean value specifying whether p-value test statistic shall printed subtitle. shaded.area boolean value specifying whether shaded area shall drawn developmental stages defined presumptive phylotypic period. custom.perm.matrix custom bootMatrix (permutation matrix) perform underlying test statistic visualized PlotSignature. Default custom.perm.matrix = NULL. xlab label x-axis. ylab label y-axis. main figure title. lwd line width. alpha transparency shaded area ([0,1]). Default alpha = 0.1. y.ticks number ticks y-axis. Default ticks = 10.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotSignature.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot evolutionary signatures across transcriptomes — PlotSignature","text":"function substitutes functionality PlotPattern function based ggplot2 insead base R graphics. following transcriptome indices can computed visualized function: Transcriptome Age Index (TAI) Transcriptome Divergence Index (TDI) Transcriptome Polymorphism Index (TPI)","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotSignature.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot evolutionary signatures across transcriptomes — PlotSignature","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotSignature.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot evolutionary signatures across transcriptomes — PlotSignature","text":"","code":"data(PhyloExpressionSetExample)  # plot TAI pattern and perform flat line test PlotSignature(PhyloExpressionSetExample,                measure       = \"TAI\",                permutations  = 100,               TestStatistic = \"FlatLineTest\",               ylab = \"Transcriptome Age Index\") #> Plot signature: ' TAI ' and test statistic: ' FlatLineTest ' running  100  permutations. #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #>  #> Total runtime of your permutation test: 0.015  seconds. #>  #> -> We recommended using at least 20000 permutations to achieve a sufficient permutation test. #>  #> Significance status of signature:  significant. #>  #> -> Now run 'FlatLineTest(..., permutations  = 100, plotHistogram = TRUE)' to analyse the permutation test performance."},{"path":"https://drostlab.github.io/myTAI/reference/PlotSignatureTransformed.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot evolutionary signatures across transcriptomes and RNA-seq transformations — PlotSignatureTransformed","title":"Plot evolutionary signatures across transcriptomes and RNA-seq transformations — PlotSignatureTransformed","text":"PlotSignatureTransformed aims statistically evaluate stability ReductiveHourglassTest, FlatLineTest, ReverseHourglassTest, EarlyConservationTest, LateConservationTest (based TAI TDI computations) different data transformations plot resulting TAI profiles using PlotSignature. corresponding p-value quantifies probability given TAI TDI pattern (phylotranscriptomics pattern) support chosen test. p-value < 0.05 indicates corresponding phylotranscriptomics pattern indeed support chosen test.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotSignatureTransformed.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot evolutionary signatures across transcriptomes and RNA-seq transformations — PlotSignatureTransformed","text":"","code":"PlotSignatureTransformed(   ExpressionSet,   measure = \"TAI\",   TestStatistic = \"FlatLineTest\",   transforms = c(\"none\", \"sqrt\", \"log2\", \"rank\", \"squared\"),   modules = NULL,   permutations = 1000,   pseudocount = 1,   p.value = TRUE,   shaded.area = FALSE,   xlab = \"Ontogeny\",   ylab = \"Transcriptome Index\",   main = \"\",   lwd = 4,   alpha = 0.1,   y.ticks = 3 )"},{"path":"https://drostlab.github.io/myTAI/reference/PlotSignatureTransformed.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot evolutionary signatures across transcriptomes and RNA-seq transformations — PlotSignatureTransformed","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. measure type transcriptome index shall computed. E.g. measure = \"TAI\" (Transcriptome Age Index) measure = \"TDI\" (Transcriptome Divergence Index) measure = \"TPI\" (Transcriptome Polymorphism Index) TestStatistic string defining type test statistics used quantify statistical significance present phylotranscriptomics pattern. Possible values can : TestStatistic = \"FlatLineTest\" : Statistical test deviation flat line TestStatistic = \"ReductiveHourglassTest\" : Statistical test existence hourglass shape (high-low-high pattern) TestStatistic = \"ReverseHourglassTest\" : Statistical test existence reverse hourglass pattern (low-high-low pattern) TestStatistic = \"EarlyConservationTest\" : Statistical test existence early conservation pattern (low-high-high pattern) TestStatistic = \"LateConservationTest\" : Statistical test existence late conservation pattern (high-high-low pattern) transforms character vector valid function transforms gene expression levels. Available options : transforms = \"none\" : transformation (absolute expression) transforms = \"log2\" : Computes binary (.e., base 2) logarithms, \\(log_{2}{X}\\). transforms = \"log\" : Computes natural logarithms, \\(log_{e}{X}\\). transforms = \"log10\" : Computes common logarithms (.e., base 10), \\(log_{10}{X}\\). transforms = \"sqrt\" : Computes (principle) square root, \\(\\sqrt{X}\\). transforms = \"vst\" :  (Quickly) estimates dispersion trend applies variance stabilizing transformation (please make sure DESeq2 package installed). transforms = \"rlog\" : (Robustly) estimates dispersion trend applies variance stabilizing transformation (please make sure DESeq2 package installed). transforms = \"rank\" : Ranks genes lowest highest based expression levels, condition (e.g., developmental stage). gene's expression value replaced sample rank average ranks case ties. transforms = \"squared\": Computes square, \\(X^2\\). modules list storing three elements ReductiveHourglassTest, EarlyConservationTest, LateConservationTest, ReverseHourglassTest: early, mid, late. element expects numeric vector specifying developmental stages experiments correspond module. example: module = list(early = 1:2, mid = 3:5, late = 6:7) divides dataset storing seven developmental stages 3 modules. permutations numeric value specifying number permutations performed FlatLineTest, EarlyConservationTest, LateConservationTest, ReductiveHourglassTest ReverseHourglassTest. pseudocount valid number add expression matrix prior log transformations. p.value boolean value specifying whether p-value test statistic shall printed within plot area. shaded.area boolean value specifying whether shaded area shall drawn developmental stages defined presumptive phylotypic period. xlab label x-axis. ylab label y-axis. main figure title. lwd line width. alpha transparency shaded area ([0,1]). Default alpha = 0.1. y.ticks number ticks y-axis. Default ticks = 3.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotSignatureTransformed.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot evolutionary signatures across transcriptomes and RNA-seq transformations — PlotSignatureTransformed","text":"ggplot object containing following information visualised transcriptome indices: p.value : p-value quantifying statistical significance (depending chosen test) given phylotranscriptomics pattern.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotSignatureTransformed.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot evolutionary signatures across transcriptomes and RNA-seq transformations — PlotSignatureTransformed","text":"Visualisation assessment stability data transforms permutation test choice. details, please consult main function PlotSignature, well tf, ReductiveHourglassTest, FlatLineTest, ReverseHourglassTest, LateConservationTest EarlyConservationTest. cases, users can replace PlotSignature simply PlotSignatureTransformed obtain multi-panel plot different transformations visualise stability pattern observed PlotSignature.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotSignatureTransformed.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Plot evolutionary signatures across transcriptomes and RNA-seq transformations — PlotSignatureTransformed","text":"Lotharukpong JS et al. (2023) (unpublished)","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/PlotSignatureTransformed.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot evolutionary signatures across transcriptomes and RNA-seq transformations — PlotSignatureTransformed","text":"Jaruwatana Sodai Lotharukpong","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotSignatureTransformed.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot evolutionary signatures across transcriptomes and RNA-seq transformations — PlotSignatureTransformed","text":"","code":"if (FALSE) { # \\dontrun{ data(PhyloExpressionSetExample)  # Flat line test PlotSignatureTransformed(ExpressionSet = PhyloExpressionSetExample,                     TestStatistic = \"FlatLineTest\",                     transforms = c(\"none\", \"log2\", \"sqrt\", \"rank\", \"squared\"))  # Reductive hourglass test PlotSignatureTransformed(ExpressionSet = PhyloExpressionSetExample,                      TestStatistic = \"ReductiveHourglassTest\",                      transforms = c(\"none\", \"log2\", \"sqrt\", \"rank\", \"squared\"),                      modules = list(early = 1:2, mid = 3:5, late = 6:7))  library(DESeq2) PlotSignatureTransformed(ExpressionSet = PhyloExpressionSetExample,                      TestStatistic = \"ReductiveHourglassTest\",                      transforms = c(\"none\", \"log2\", \"sqrt\", \"vst\", \"rank\", \"squared\"),                      modules = list(early = 1:2, mid = 3:5, late = 6:7)) } # }"},{"path":"https://drostlab.github.io/myTAI/reference/PlotVars.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Variance of Expression Profiles — PlotVars","title":"Plot Variance of Expression Profiles — PlotVars","text":"function computes age category corresponding variance expression profile.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotVars.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Variance of Expression Profiles — PlotVars","text":"","code":"PlotVars(   ExpressionSet,   Groups = NULL,   legendName = \"age\",   xlab = \"Ontogeny\",   ylab = \"Variance(Expression Level)\",   main = \"\",   y.ticks = 10,   adjust.range = TRUE )"},{"path":"https://drostlab.github.io/myTAI/reference/PlotVars.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Variance of Expression Profiles — PlotVars","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. Groups list containing age categories variance expression levels shall drawn. ex. evolutionary users can compare old phylostrata: PS1-3 (Class 1) evolutionary young phylostrata: PS4-12 (Class 2). example, list assigned , Groups = list(c(1:3), c(4:12)). group options limited 2 Groups. legendName character string specifying legend title. xlab label x-axis. ylab label y-axis. main main text. y.ticks number ticks shall drawn y-axis. adjust.range logical indicating whether y-axis scale shall adjusted range case two groups specified. Default adjust.range = TRUE.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotVars.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot Variance of Expression Profiles — PlotVars","text":"plot showing variance expression profiles age category.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotVars.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot Variance of Expression Profiles — PlotVars","text":"plot may useful compare absolute variance expression levels age category across stages. different developmental processes different phylostratum divergence-stratum classes might expressed others, hence contributing overall phylotranscriptomics pattern (TAI TDI). plot can help identify phylostratum divergence-stratum classes contributes overall transcriptome given developmental process.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/PlotVars.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot Variance of Expression Profiles — PlotVars","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/PlotVars.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot Variance of Expression Profiles — PlotVars","text":"","code":"### Example using a PhyloExpressionSet ### and DivergenceExpressionSet # load PhyloExpressionSet data(PhyloExpressionSetExample)  # load PhyloExpressionSet data(DivergenceExpressionSetExample)  # plot evolutionary old PS (PS1-3) vs evolutionary young PS (PS4-12) PlotVars(PhyloExpressionSetExample,           Groups = list(c(1:3), c(4:12)),            legendName = \"PS\",           adjust.range = TRUE)   # if users wish to not adjust the y-axis scale when  # 2 groups are selected they can specify: adjust.range = FALSE PlotVars(PhyloExpressionSetExample,           Groups = list(c(1:3), c(4:12)),            legendName = \"PS\",           adjust.range = FALSE)                        # plot conserved DS (DS1-5) vs divergent DS (PS6-10) # NOTE: DS are always defined in the range 1, 2, ... , 10. # Hence, make sure that your groups are within this range! PlotVars(DivergenceExpressionSetExample,           Groups = list(c(1:5), c(6:10)),            legendName = \"DS\",           adjust.range = TRUE)"},{"path":"https://drostlab.github.io/myTAI/reference/RE.html","id":null,"dir":"Reference","previous_headings":"","what":"Transform to Relative Expression Levels — RE","title":"Transform to Relative Expression Levels — RE","text":"function computes relative expression profiles given gene expression set. relative expression profile computed follows: $$f_s = ( e_s - e_min ) / ( e_max - e_min )$$ \\(e_min\\) \\(e_max\\) denote minimum/maximum mean expression level  developmental stages s. linear transformation corresponds shift \\(e_min\\) subsequent shrinkage \\(e_max - e_min\\). result, relative expression level \\(f_s\\) developmental stage s minimum \\(e_s\\) 0, relative expression level \\(f_s\\) developmental stage s maximum \\(e_s\\) 1, relative expression levels \\(f_s\\) stages s range 0 1, accordingly.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/RE.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Transform to Relative Expression Levels — RE","text":"","code":"RE(ExpressionMatrix)"},{"path":"https://drostlab.github.io/myTAI/reference/RE.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Transform to Relative Expression Levels — RE","text":"ExpressionMatrix numeric matrix representing gene expression matrix relative expression profile shall computed.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/RE.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Transform to Relative Expression Levels — RE","text":"vector containing relative expression profile correspnding data matrix.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/RE.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Transform to Relative Expression Levels — RE","text":"Domazet-Loso T Tautz D. (2010). phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns. Nature (468): 815-818. Quint M et al. (2012). transcriptomic hourglass plant embryogenesis. Nature (490): 98-101.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/RE.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Transform to Relative Expression Levels — RE","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/RE.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Transform to Relative Expression Levels — RE","text":"","code":"# read standard phylotranscriptomics data data(PhyloExpressionSetExample)  # relative expression profile of PS1 genes RE(PhyloExpressionSetExample[ which(PhyloExpressionSetExample[ , 1] == 1), 3:9 ]) #>    Zygote  Quadrant  Globular     Heart   Torpedo      Bent    Mature  #> 0.4816246 0.3145330 0.4638918 0.0000000 0.1706749 0.5688023 1.0000000"},{"path":"https://drostlab.github.io/myTAI/reference/REMatrix.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute a Relative Expression Matrix — REMatrix","title":"Compute a Relative Expression Matrix — REMatrix","text":"function computes relative expression profiles given phylostrata divergence-strata within given PhyloExpressionSet DivergenceExpressionSet.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/REMatrix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute a Relative Expression Matrix — REMatrix","text":"","code":"REMatrix(ExpressionSet)"},{"path":"https://drostlab.github.io/myTAI/reference/REMatrix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute a Relative Expression Matrix — REMatrix","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/REMatrix.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute a Relative Expression Matrix — REMatrix","text":"phylostratum divergence-stratum corresponding relative expression profile computed follows: $$f_js = ( e_js - e_j min ) / ( e_j max - e_j min )$$ \\(e_j min\\) \\(e_j max\\) denote minimum/maximum mean expression level phylostratum j  developmental stages s. linear transformation corresponds shift \\(e_j min\\) subsequent shrinkage \\(e_j max - e_j min\\). result, relative expression level \\(f_js\\) developmental stage s minimum \\(e_js\\) 0, relative expression level \\(f_js\\) developmental stage s maximum \\(e_js\\) 1, relative expression levels \\(f_js\\) stages s range 0 1, accordingly.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/REMatrix.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute a Relative Expression Matrix — REMatrix","text":"Domazet-Loso T Tautz D. (2010). phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns. Nature (468): 815-818. Quint M et al. (2012). transcriptomic hourglass plant embryogenesis. Nature (490): 98-101.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/REMatrix.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute a Relative Expression Matrix — REMatrix","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/REMatrix.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute a Relative Expression Matrix — REMatrix","text":"","code":"# read standard phylotranscriptomics data data(PhyloExpressionSetExample) data(DivergenceExpressionSetExample)  # example PhyloExpressionSet REMatrix(PhyloExpressionSetExample) #>       Zygote  Quadrant   Globular      Heart    Torpedo       Bent    Mature #> 1  0.4816246 0.3145330 0.46389184 0.00000000 0.17067495 0.56880234 1.0000000 #> 2  1.0000000 0.9363209 0.63348381 0.40823711 0.14904726 0.00000000 0.2206063 #> 3  0.6083424 0.4109402 0.00000000 0.09521758 0.16284114 0.21213845 1.0000000 #> 4  0.2985050 0.2366309 0.04946941 0.07499453 0.00000000 0.20573325 1.0000000 #> 5  0.2893657 0.2799777 0.00000000 0.01401191 0.01365328 0.45908792 1.0000000 #> 6  0.2323316 0.2786335 0.02706119 0.00000000 0.03592044 0.20084761 1.0000000 #> 7  0.5666979 0.2620602 0.00000000 0.12099252 0.07133814 0.13232551 1.0000000 #> 8  0.4203039 0.3092784 0.09237036 0.05442042 0.00000000 0.45520558 1.0000000 #> 9  0.4586261 0.4668613 0.39738003 0.23205534 0.00000000 0.37067096 1.0000000 #> 10 0.8811321 1.0000000 0.53841500 0.22974016 0.00000000 0.30490542 0.4881046 #> 11 0.4015809 0.4877111 0.04846721 0.05741594 0.00000000 0.07716367 1.0000000 #> 12 0.5052572 0.3359211 0.07100055 0.09489782 0.00000000 0.25811214 1.0000000  # example DivergenceExpressionSet REMatrix(DivergenceExpressionSetExample) #>       Zygote  Quadrant   Globular      Heart    Torpedo      Bent    Mature #> 1  0.9669643 0.9755188 1.00000000 0.64894653 0.54294759 0.3860827 0.0000000 #> 2  0.7888009 0.4949178 0.10397567 0.00000000 0.08758660 0.4549387 1.0000000 #> 3  0.1733953 0.0000000 0.02704324 0.04893726 0.18054185 0.4309208 1.0000000 #> 4  0.3772372 0.2955661 0.08201140 0.07895260 0.00000000 0.2074848 1.0000000 #> 5  0.4543752 0.3987496 0.09292474 0.00000000 0.02050713 0.1912595 1.0000000 #> 6  0.4403615 0.2605017 0.07713944 0.13021586 0.00000000 0.2307754 1.0000000 #> 7  0.3264585 0.3200581 0.13864386 0.11077270 0.00000000 0.1420009 1.0000000 #> 8  0.4934416 0.4366671 0.11457069 0.08697865 0.00000000 0.3076689 1.0000000 #> 9  0.6236387 0.6561674 0.21851855 0.10163374 0.00000000 0.4161087 1.0000000 #> 10 0.7794318 1.0000000 0.61482564 0.22487531 0.00000000 0.1192539 0.4259882"},{"path":"https://drostlab.github.io/myTAI/reference/ReductiveHourglassTest.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform the Reductive Hourglass Test — ReductiveHourglassTest","title":"Perform the Reductive Hourglass Test — ReductiveHourglassTest","text":"Reductive Hourglass Test aims statistically evaluate existence phylotranscriptomic hourglass pattern based TAI TDI computations. corresponding p-value quantifies probability given TAI TDI pattern (phylotranscriptomics pattern) follow hourglass like shape. p-value < 0.05 indicates corresponding phylotranscriptomics pattern indeed follow hourglass (high-low-high) shape.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/ReductiveHourglassTest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform the Reductive Hourglass Test — ReductiveHourglassTest","text":"","code":"ReductiveHourglassTest(   ExpressionSet,   modules = NULL,   permutations = 1000,   lillie.test = FALSE,   plotHistogram = FALSE,   runs = 10,   parallel = FALSE,   gof.warning = FALSE,   custom.perm.matrix = NULL )"},{"path":"https://drostlab.github.io/myTAI/reference/ReductiveHourglassTest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform the Reductive Hourglass Test — ReductiveHourglassTest","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. modules list storing three elements: early, mid, late. element expects numeric vector specifying developmental stages experiments correspond module. example, module = list(early = 1:2, mid = 3:5, late = 6:7) devides dataset storing seven developmental stages 3 modules. permutations numeric value specifying number permutations performed ReductiveHourglassTest. lillie.test boolean value specifying whether Lilliefors Kolmogorov-Smirnov Test shall performed quantify goodness fit. plotHistogram boolean value specifying whether Lillifor's Kolmogorov-Smirnov-Test shall performed test goodness fit approximated distribution, well additional plots quantifying significance observed phylotranscriptomic pattern. runs specify number runs performed goodness fit computations, case plotHistogram = TRUE. cases runs = 100 reasonable choice. Default runs = 10 (takes less computation time demonstration purposes). parallel performing runs parallel (takes cores multicore machine). gof.warning logical value indicating whether non significant goodness fit results printed warning. Default gof.warning = FALSE. custom.perm.matrix custom bootMatrix (permutation matrix) perform underlying test statistic. Default custom.perm.matrix = NULL.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/ReductiveHourglassTest.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Perform the Reductive Hourglass Test — ReductiveHourglassTest","text":"list object containing list elements: p.value : p-value quantifying statistical significance (high-low-high pattern) given phylotranscriptomics pattern. std.dev : standard deviation N sampled phylotranscriptomics patterns developmental stage S. lillie.test : boolean value specifying whether Lillifors KS-Test returned p-value > 0.05, indicates fitting permuted scores normal distribution seems plausible.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/ReductiveHourglassTest.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Perform the Reductive Hourglass Test — ReductiveHourglassTest","text":"reductive hourglass test permutation test based following test statistic. (1) set developmental stages partitioned three modules - early, mid, late - based prior biological knowledge. (2) mean TAI TDI value three modules T_early, T_mid, T_late computed. (3) two differences D1 = T_early - T_mid D2 = T_late - T_mid calculated. (4) minimum D_min D1 D2 computed final test statistic reductive hourglass test. order determine statistical significance observed minimum difference D_min following permutation test performed. Based bootMatrix D_min calculated permuted TAI TDI profiles, approximated Gaussian distribution method moments estimated parameters returned fitdist, corresponding p-value computed pnorm given estimated parameters Gaussian distribution. goodness fit random vector D_min statistically quantified Lilliefors (Kolmogorov-Smirnov) test normality. case parameter plotHistogram = TRUE, multi-plot generated showing: (1) Cullen Frey skewness-kurtosis plot generated descdist. plot illustrates distributions seem plausible fit resulting permutation vector D_min. case Reductive Hourglass Test normal distribution seemed plausible. (2) histogram D_min combined density plot plotted. D_min fitted normal distribution. corresponding parameters estimated moment matching estimation using fitdist function. (3) plot showing p-values N independent runs verify specific p-value biased specific permutation order. (4) barplot showing number cases underlying goodness fit (returned Lilliefors (Kolmogorov-Smirnov) test normality) shown significant (TRUE) significant (FALSE). allows quantify permutation bias implications goodness fit.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/ReductiveHourglassTest.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Perform the Reductive Hourglass Test — ReductiveHourglassTest","text":"Drost HG et al. (2015) Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012 Quint M et al. (2012). transcriptomic hourglass plant embryogenesis. Nature (490): 98-101. M. L. Delignette-Muller, R. Pouillot, J.-B. Denis C. Dutang (2014), fitdistrplus: help fit parametric distribution non-censored censored data. Cullen AC Frey HC (1999) Probabilistic techniques exposure assessment. Plenum Press, USA, pp. 81-159. Evans M, Hastings N Peacock B (2000) Statistical distributions. John Wiley Sons Inc. Sokal RR Rohlf FJ (1995) Biometry. W.H. Freeman Company, USA, pp. 111-115. Juergen Gross bug fixes Uwe Ligges (2012). nortest: Tests Normality. R package version 1.0-2. http://CRAN.R-project.org/package=nortest Dallal, G.E. Wilkinson, L. (1986): analytic approximation distribution Lilliefors' test normality. American Statistician, 40, 294-296. Stephens, M.. (1974): EDF statistics goodness fit comparisons. Journal American Statistical Association, 69, 730-737. http://stackoverflow.com/questions/4290081/fitting-data--distributions?rq=1 http://stats.stackexchange.com/questions/45033/can--use-kolmogorov-smirnov-test--estimate-distribution-parameters http://cran.r-project.org/doc/contrib/Ricci-distributions-en.pdf http://cran.r-project.org/doc/contrib/Ricci-distributions-en.pdf","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/ReductiveHourglassTest.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Perform the Reductive Hourglass Test — ReductiveHourglassTest","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/ReductiveHourglassTest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform the Reductive Hourglass Test — ReductiveHourglassTest","text":"","code":"data(PhyloExpressionSetExample)  # perform the reductive hourglass test for a PhyloExpressionSet # here the prior biological knowledge is that stages 1-2 correspond to module 1 = early, # stages 3-5 to module 2 = mid (phylotypic module), and stages 6-7 correspond to # module 3 = late ReductiveHourglassTest(PhyloExpressionSetExample,                        modules = list(early = 1:2, mid = 3:5, late = 6:7),                         permutations = 1000) #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #> $p.value #> [1] 2.25838e-08 #>  #> $std.dev #> [1] 0.05360555 0.05261389 0.05140542 0.04998371 0.04954327 0.05199497 0.05697204 #>  #> $lillie.test #> [1] NA #>    # use your own permutation matrix based on which p-values (ReductiveHourglassTest) # shall be computed custom_perm_matrix <- bootMatrix(PhyloExpressionSetExample,100) #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>   ReductiveHourglassTest(PhyloExpressionSetExample,                      modules = list(early = 1:2, mid = 3:5, late = 6:7),                      custom.perm.matrix = custom_perm_matrix) #> $p.value #> [1] 1.25244e-09 #>  #> $std.dev #>     Zygote   Quadrant   Globular      Heart    Torpedo       Bent     Mature  #> 0.05413093 0.05438733 0.05356645 0.05182419 0.04987965 0.04852364 0.05162828  #>  #> $lillie.test #> [1] NA #>"},{"path":"https://drostlab.github.io/myTAI/reference/ReverseHourglassTest.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform the Reverse Hourglass Test — ReverseHourglassTest","title":"Perform the Reverse Hourglass Test — ReverseHourglassTest","text":"Reverse Hourglass Test aims statistically evaluate existence reverse hourglass pattern based TAI TDI computations. corresponding p-value quantifies probability given TAI TDI pattern (phylotranscriptomics pattern) follow hourglass like shape. p-value < 0.05 indicates corresponding phylotranscriptomics pattern rather follow reverse hourglass (low-high-low) shape.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/ReverseHourglassTest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform the Reverse Hourglass Test — ReverseHourglassTest","text":"","code":"ReverseHourglassTest(   ExpressionSet,   modules = NULL,   permutations = 1000,   lillie.test = FALSE,   plotHistogram = FALSE,   runs = 10,   parallel = FALSE,   gof.warning = FALSE,   custom.perm.matrix = NULL )"},{"path":"https://drostlab.github.io/myTAI/reference/ReverseHourglassTest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform the Reverse Hourglass Test — ReverseHourglassTest","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. modules list storing three elements: early, mid, late. element expects numeric vector specifying developmental stages experiments correspond module. example, module = list(early = 1:2, mid = 3:5, late = 6:7) devides dataset storing seven developmental stages 3 modules. permutations numeric value specifying number permutations performed ReverseHourglassTest. lillie.test boolean value specifying whether Lilliefors Kolmogorov-Smirnov Test shall performed quantify goodness fit. plotHistogram boolean value specifying whether Lillifor's Kolmogorov-Smirnov-Test shall performed test goodness fit approximated distribution, well additional plots quantifying significance observed phylotranscriptomic pattern. runs specify number runs performed goodness fit computations, case plotHistogram = TRUE. cases runs = 100 reasonable choice. Default runs = 10 (takes less computation time demonstration purposes). parallel performing runs parallel (takes cores multicore machine). gof.warning logical value indicating whether non significant goodness fit results printed warning. Default gof.warning = FALSE. custom.perm.matrix custom bootMatrix (permutation matrix) perform underlying test statistic. Default custom.perm.matrix = NULL.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/ReverseHourglassTest.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Perform the Reverse Hourglass Test — ReverseHourglassTest","text":"list object containing list elements: p.value : p-value quantifying statistical significance (low-high-low pattern) given phylotranscriptomics pattern. std.dev : standard deviation N sampled phylotranscriptomics patterns developmental stage S. lillie.test : boolean value specifying whether Lillifors KS-Test returned p-value > 0.05, indicates fitting permuted scores normal distribution seems plausible.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/ReverseHourglassTest.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Perform the Reverse Hourglass Test — ReverseHourglassTest","text":"reverse hourglass test permutation test based following test statistic. (1) set developmental stages partitioned three modules - early, mid, late - based prior biological knowledge. (2) mean TAI TDI value three modules T_early, T_mid, T_late computed. (3) two differences D1 = T_mid - T_early D2 = T_mid - T_late calculated. (4) minimum D_min D1 D2 computed final test statistic reductive hourglass test. order determine statistical significance observed minimum difference D_min following permutation test performed. Based bootMatrix D_min calculated permuted TAI TDI profiles, approximated Gaussian distribution method moments estimated parameters returned fitdist, corresponding p-value computed pnorm given estimated parameters Gaussian distribution. goodness fit random vector D_min statistically quantified Lilliefors (Kolmogorov-Smirnov) test normality. case parameter plotHistogram = TRUE, multi-plot generated showing: (1) Cullen Frey skewness-kurtosis plot generated descdist. plot illustrates distributions seem plausible fit resulting permutation vector D_min. case Reverse Hourglass Test normal distribution seemed plausible. (2) histogram D_min combined density plot plotted. D_min fitted normal distribution. corresponding parameters estimated moment matching estimation using fitdist function. (3) plot showing p-values N independent runs verify specific p-value biased specific permutation order. (4) barplot showing number cases underlying goodness fit (returned Lilliefors (Kolmogorov-Smirnov) test normality) shown significant (TRUE) significant (FALSE). allows quantify permutation bias implications goodness fit.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/ReverseHourglassTest.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Perform the Reverse Hourglass Test — ReverseHourglassTest","text":"Drost HG et al. (2015) Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012 Quint M et al. (2012). transcriptomic hourglass plant embryogenesis. Nature (490): 98-101. M. L. Delignette-Muller, R. Pouillot, J.-B. Denis C. Dutang (2014), fitdistrplus: help fit parametric distribution non-censored censored data. Cullen AC Frey HC (1999) Probabilistic techniques exposure assessment. Plenum Press, USA, pp. 81-159. Evans M, Hastings N Peacock B (2000) Statistical distributions. John Wiley Sons Inc. Sokal RR Rohlf FJ (1995) Biometry. W.H. Freeman Company, USA, pp. 111-115. Juergen Gross bug fixes Uwe Ligges (2012). nortest: Tests Normality. R package version 1.0-2. http://CRAN.R-project.org/package=nortest Dallal, G.E. Wilkinson, L. (1986): analytic approximation distribution Lilliefors' test normality. American Statistician, 40, 294-296. Stephens, M.. (1974): EDF statistics goodness fit comparisons. Journal American Statistical Association, 69, 730-737. http://stackoverflow.com/questions/4290081/fitting-data--distributions?rq=1 http://stats.stackexchange.com/questions/45033/can--use-kolmogorov-smirnov-test--estimate-distribution-parameters http://cran.r-project.org/doc/contrib/Ricci-distributions-en.pdf http://cran.r-project.org/doc/contrib/Ricci-distributions-en.pdf","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/ReverseHourglassTest.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Perform the Reverse Hourglass Test — ReverseHourglassTest","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/ReverseHourglassTest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform the Reverse Hourglass Test — ReverseHourglassTest","text":"","code":"data(PhyloExpressionSetExample)  # perform the reductive hourglass test for a PhyloExpressionSet # here the prior biological knowledge is that stages 1-2 correspond to module 1 = early, # stages 3-5 to module 2 = mid (phylotypic module), and stages 6-7 correspond to # module 3 = late ReverseHourglassTest(PhyloExpressionSetExample,                        modules = list(early = 1:2, mid = 3:5, late = 6:7),                        permutations = 1000) #> The phylotranscriptomic pattern may not follow a reverse hourglass pattern (low-high-low). #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #> $p.value #> [1] 1 #>  #> $std.dev #> [1] 0.05543708 0.05423243 0.05240352 0.05121000 0.05051120 0.05210643 0.05712842 #>  #> $lillie.test #> [1] NA #>    # use your own permutation matrix based on which p-values (ReverseHourglassTest) # shall be computed custom_perm_matrix <- bootMatrix(PhyloExpressionSetExample,100) #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>   ReverseHourglassTest(PhyloExpressionSetExample,                      modules = list(early = 1:2, mid = 3:5, late = 6:7),                      custom.perm.matrix = custom_perm_matrix) #> The phylotranscriptomic pattern may not follow a reverse hourglass pattern (low-high-low). #> $p.value #> [1] 1 #>  #> $std.dev #>     Zygote   Quadrant   Globular      Heart    Torpedo       Bent     Mature  #> 0.05179833 0.04870956 0.05064932 0.04873651 0.04951337 0.04931970 0.05426546  #>  #> $lillie.test #> [1] NA #>"},{"path":"https://drostlab.github.io/myTAI/reference/SelectGeneSet.html","id":null,"dir":"Reference","previous_headings":"","what":"Select a Subset of Genes in an ExpressionSet — SelectGeneSet","title":"Select a Subset of Genes in an ExpressionSet — SelectGeneSet","text":"Select subset genes stored input ExpressionSet.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/SelectGeneSet.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Select a Subset of Genes in an ExpressionSet — SelectGeneSet","text":"","code":"SelectGeneSet(ExpressionSet, gene.set, use.only.map = FALSE)"},{"path":"https://drostlab.github.io/myTAI/reference/SelectGeneSet.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Select a Subset of Genes in an ExpressionSet — SelectGeneSet","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. gene.set character vector storing gene ids gene expression profiles shall visualized. use..map logical value indicating whether instead standard ExpressionSet Phylostratigraphic Map Divergene Map passed function.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/SelectGeneSet.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Select a Subset of Genes in an ExpressionSet — SelectGeneSet","text":"function selects subset genes specified gene.set stored input ExpressionSet returns subset ExpressionSet. function useful studying evolutionary properties subset genes stored ExpressionSet.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/SelectGeneSet.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Select a Subset of Genes in an ExpressionSet — SelectGeneSet","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/SelectGeneSet.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Select a Subset of Genes in an ExpressionSet — SelectGeneSet","text":"","code":"data(PhyloExpressionSetExample)  # receive a subset ExpressionSet for the fist 5 genes stored in # the PhyloExpressionSetExample SelectGeneSet(ExpressionSet = PhyloExpressionSetExample,             gene.set      = PhyloExpressionSetExample[1:5, 2]) #>   Phylostratum      GeneID    Zygote   Quadrant  Globular      Heart   Torpedo #> 1            1 at1g01040.2  2173.635  1911.2001  1152.555  1291.4224  1000.253 #> 2            1 at1g01050.1  1501.014  1817.3086  1665.309  1564.7612  1496.321 #> 3            1 at1g01070.1  1212.793  1233.0023   939.200   929.6195   864.218 #> 4            1 at1g01080.2  1016.920   936.3837  1181.338  1329.4734  1392.643 #> 5            1 at1g01090.1 11424.567 16778.1685 34366.649 39775.6405 56231.569 #>         Bent    Mature #> 1   962.9772 1696.4274 #> 2  1114.6435 1071.6555 #> 3   877.2060  894.8189 #> 4  1287.9746  861.2605 #> 5 66980.3673 7772.5617                           # get a gene subset using only a phylostratihraphic map ExamplePSMap <- PhyloExpressionSetExample[ , 1:2]  SelectGeneSet(ExpressionSet = ExamplePSMap,               gene.set      = PhyloExpressionSetExample[1:5, 2],               use.only.map  = TRUE)           #>   Phylostratum      GeneID #> 1            1 at1g01040.2 #> 2            1 at1g01050.1 #> 3            1 at1g01070.1 #> 4            1 at1g01080.2 #> 5            1 at1g01090.1"},{"path":"https://drostlab.github.io/myTAI/reference/TAI.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute the Transcriptome Age Index (TAI) — TAI","title":"Compute the Transcriptome Age Index (TAI) — TAI","text":"function computes phylogenetically based transcriptome age index (TAI) introduced Domazet-Loso & Tautz, 2010.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TAI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute the Transcriptome Age Index (TAI) — TAI","text":"","code":"TAI(PhyloExpressionSet)"},{"path":"https://drostlab.github.io/myTAI/reference/TAI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute the Transcriptome Age Index (TAI) — TAI","text":"PhyloExpressionSet standard PhyloExpressionSet object.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TAI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute the Transcriptome Age Index (TAI) — TAI","text":"numeric vector containing TAI values given developmental stages.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TAI.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute the Transcriptome Age Index (TAI) — TAI","text":"TAI measure represents weighted arithmetic mean (expression levels weights phylostratum value) evolutionary age categories denoted phylostra. $$TAI_s = \\sum (e_is * ps_i) / \\sum e_is$$ TAI_s denotes TAI value developmental stage s, e_is denotes gene expression level gene stage s, ps_i denotes corresponding phylostratum gene , \\(= 1,...,N\\) N = total number genes. Internally function calls C++ function cpp_TAI speed TAI computations.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TAI.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute the Transcriptome Age Index (TAI) — TAI","text":"Domazet-Loso T. Tautz D. (2010). phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns. Nature (468): 815-818. Quint M et al. (2012). transcriptomic hourglass plant embryogenesis. Nature (490): 98-101. Drost HG et al. (2015) Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/TAI.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute the Transcriptome Age Index (TAI) — TAI","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TAI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute the Transcriptome Age Index (TAI) — TAI","text":"","code":"# reading a standard PhyloExpressionSet data(PhyloExpressionSetExample)  # computing the TAI profile of a given PhyloExpressionSet object TAIs <- TAI(PhyloExpressionSetExample)"},{"path":"https://drostlab.github.io/myTAI/reference/TDI.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute the Transcriptome Divergence Index (TDI) — TDI","title":"Compute the Transcriptome Divergence Index (TDI) — TDI","text":"function computes sequence distance based transcriptome divergence index (TDI) introduced Quint et al., 2012.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TDI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute the Transcriptome Divergence Index (TDI) — TDI","text":"","code":"TDI(DivergenceExpressionSet)"},{"path":"https://drostlab.github.io/myTAI/reference/TDI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute the Transcriptome Divergence Index (TDI) — TDI","text":"DivergenceExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TDI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute the Transcriptome Divergence Index (TDI) — TDI","text":"numeric vector containing TDI values given developmental stages.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TDI.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute the Transcriptome Divergence Index (TDI) — TDI","text":"TDI measure represents weighted arithmetic mean (expression levels weights divergence-stratum value) gene divergence categories denoted divergence-strata. $$TDI_s = \\sum (e_is * ds_i) / \\sum e_is$$ TDI_s denotes TDI value developmental stage s, e_is denotes gene expression level gene stage s, ds_i denotes corresponding divergence-stratum gene , \\(= 1,...,N\\) N = total number genes. Internally function written C++ speed TDI computations.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TDI.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute the Transcriptome Divergence Index (TDI) — TDI","text":"Quint M et al. (2012). transcriptomic hourglass plant embryogenesis. Nature (490): 98-101. Drost HG et al. (2015) Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/TDI.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute the Transcriptome Divergence Index (TDI) — TDI","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TDI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute the Transcriptome Divergence Index (TDI) — TDI","text":"","code":"# reading a standard DivergenceExpressionSet data(DivergenceExpressionSetExample)  # computing the TDI profile of a given DivergenceExpressionSet object TDIs <- TDI(DivergenceExpressionSetExample)"},{"path":"https://drostlab.github.io/myTAI/reference/TEI.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute the Transcriptome Evolutionary Index (TEI) — TEI","title":"Compute the Transcriptome Evolutionary Index (TEI) — TEI","text":"function computes phylogenetically based transcriptome evolutionary index (TEI) similar Domazet-Loso & Tautz, 2010.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TEI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute the Transcriptome Evolutionary Index (TEI) — TEI","text":"","code":"TEI(   ExpressionSet,   Phylostratum = NULL,   split = 1e+05,   showprogress = TRUE,   threads = 1 )"},{"path":"https://drostlab.github.io/myTAI/reference/TEI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute the Transcriptome Evolutionary Index (TEI) — TEI","text":"ExpressionSet expression object rownames GeneID (dgCMatrix) standard PhyloExpressionSet object. Phylostratum named vector representing phylostratum per GeneID names GeneID (used Expression PhyloExpressionSet). split specify number columns split showprogress boolean progressbar shown threads specify number threads","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TEI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute the Transcriptome Evolutionary Index (TEI) — TEI","text":"numeric vector containing TEI values given cells developmental stages.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TEI.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute the Transcriptome Evolutionary Index (TEI) — TEI","text":"TEI measure represents weighted arithmetic mean (expression levels weights phylostratum value) evolutionary age categories denoted phylostra. $$TEI_s = \\sum (e_is * ps_i) / \\sum e_is$$ TEI_s denotes TEI value developmental stage s, e_is denotes gene expression level gene stage s, ps_i denotes corresponding phylostratum gene , \\(= 1,...,N\\) N = total number genes.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TEI.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute the Transcriptome Evolutionary Index (TEI) — TEI","text":"Domazet-Loso T. Tautz D. (2010). phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns. Nature (468): 815-818. Quint M et al. (2012). transcriptomic hourglass plant embryogenesis. Nature (490): 98-101. Drost HG et al. (2015) Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TEI.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute the Transcriptome Evolutionary Index (TEI) — TEI","text":"Kristian K Ullrich","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TEI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute the Transcriptome Evolutionary Index (TEI) — TEI","text":"","code":"# reading a standard PhyloExpressionSet data(PhyloExpressionSetExample, package = \"myTAI\")  # computing the TEI profile of a given PhyloExpressionSet object TEI <- TEI(PhyloExpressionSetExample)"},{"path":"https://drostlab.github.io/myTAI/reference/TPI.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute the Transcriptome Polymorphism Index (TPI) — TPI","title":"Compute the Transcriptome Polymorphism Index (TPI) — TPI","text":"function computes Transcriptome Polymorphism Index (TPI) introduced Gossmann et al., 2015.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TPI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute the Transcriptome Polymorphism Index (TPI) — TPI","text":"","code":"TPI(PolymorphismExpressionSet)"},{"path":"https://drostlab.github.io/myTAI/reference/TPI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute the Transcriptome Polymorphism Index (TPI) — TPI","text":"PolymorphismExpressionSet standard PolymorphismExpressionSet object.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TPI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute the Transcriptome Polymorphism Index (TPI) — TPI","text":"numeric vector containing TPI values given developmental stages.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TPI.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute the Transcriptome Polymorphism Index (TPI) — TPI","text":"TPI measure represents weighted arithmetic mean (expression levels weights) synonymous vs non-synonymous polymorphism ratios. $$TPI_s = \\sum (e_is * P_N/N / ((P_S + 1) / S)) / \\sum e_is$$ TPI_s denotes TPI value developmental stage s, e_is denotes gene expression level gene stage s, n denotes number genes, PN PS denote numbers non-synonymous synonymous polymorphisms, N S numbers nonsynonymous synonymous sites, respectively. Internally function written C++ speed TPI computations.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TPI.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute the Transcriptome Polymorphism Index (TPI) — TPI","text":"Gossmann et al. (2015). Transcriptomes Plant Gametophytes Higher Proportion Rapidly Evolving Young Genes Sporophytes. Mol Biol Evol. 33 (7): 1669-1678.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/TPI.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute the Transcriptome Polymorphism Index (TPI) — TPI","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/TPI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute the Transcriptome Polymorphism Index (TPI) — TPI","text":"","code":"if (FALSE) { # \\dontrun{ # reading a standard PolymorphismExpressionSet data(PolymorphismExpressionSetExample)  # computing the TPI profile of a given PolymorphismExpressionSet object TPIs <- TPI(PolymorphismExpressionSet) } # }"},{"path":"https://drostlab.github.io/myTAI/reference/age.apply.html","id":null,"dir":"Reference","previous_headings":"","what":"Age Category Specific apply Function — age.apply","title":"Age Category Specific apply Function — age.apply","text":"function performs split-apply-combine methodology Phylostrata Divergence Strata stored within input ExpressionSet. function useful perform phylostratum divergence-stratum specific analysis.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/age.apply.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Age Category Specific apply Function — age.apply","text":"","code":"age.apply(ExpressionSet, FUN, ..., as.list = FALSE)"},{"path":"https://drostlab.github.io/myTAI/reference/age.apply.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Age Category Specific apply Function — age.apply","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. FUN function performed corresponding expression matrix phylostratum divergence-stratum. ... additional arguments FUN. .list boolean value specifying whether output format shall matrix list object.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/age.apply.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Age Category Specific apply Function — age.apply","text":"Either numeric matrix storing return values applied function age class numeric list storing return values applied function age class list.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/age.apply.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Age Category Specific apply Function — age.apply","text":"function uses split function subset expression matrix phylostratum specific sub-matrices. Internally using lapply, function can performed sub-matrices. return value function numeric matrix storing return values FUN phylostratum developmental stage s. Note input FUN must function can applied matrix (e.g., colMeans RE). case use anonymous function use function(x) apply(x , 2 , var) example compute variance phylostratum developmental stage s.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/age.apply.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Age Category Specific apply Function — age.apply","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/age.apply.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Age Category Specific apply Function — age.apply","text":"","code":"# source the example dataset  data(PhyloExpressionSetExample)   # Example 1 # get the relative expression profiles for each phylostratum age.apply(PhyloExpressionSetExample, RE) #>       Zygote  Quadrant   Globular      Heart    Torpedo       Bent    Mature #> 1  0.4816246 0.3145330 0.46389184 0.00000000 0.17067495 0.56880234 1.0000000 #> 2  1.0000000 0.9363209 0.63348381 0.40823711 0.14904726 0.00000000 0.2206063 #> 3  0.6083424 0.4109402 0.00000000 0.09521758 0.16284114 0.21213845 1.0000000 #> 4  0.2985050 0.2366309 0.04946941 0.07499453 0.00000000 0.20573325 1.0000000 #> 5  0.2893657 0.2799777 0.00000000 0.01401191 0.01365328 0.45908792 1.0000000 #> 6  0.2323316 0.2786335 0.02706119 0.00000000 0.03592044 0.20084761 1.0000000 #> 7  0.5666979 0.2620602 0.00000000 0.12099252 0.07133814 0.13232551 1.0000000 #> 8  0.4203039 0.3092784 0.09237036 0.05442042 0.00000000 0.45520558 1.0000000 #> 9  0.4586261 0.4668613 0.39738003 0.23205534 0.00000000 0.37067096 1.0000000 #> 10 0.8811321 1.0000000 0.53841500 0.22974016 0.00000000 0.30490542 0.4881046 #> 11 0.4015809 0.4877111 0.04846721 0.05741594 0.00000000 0.07716367 1.0000000 #> 12 0.5052572 0.3359211 0.07100055 0.09489782 0.00000000 0.25811214 1.0000000  # this is analogous to  REMatrix(PhyloExpressionSetExample) #>       Zygote  Quadrant   Globular      Heart    Torpedo       Bent    Mature #> 1  0.4816246 0.3145330 0.46389184 0.00000000 0.17067495 0.56880234 1.0000000 #> 2  1.0000000 0.9363209 0.63348381 0.40823711 0.14904726 0.00000000 0.2206063 #> 3  0.6083424 0.4109402 0.00000000 0.09521758 0.16284114 0.21213845 1.0000000 #> 4  0.2985050 0.2366309 0.04946941 0.07499453 0.00000000 0.20573325 1.0000000 #> 5  0.2893657 0.2799777 0.00000000 0.01401191 0.01365328 0.45908792 1.0000000 #> 6  0.2323316 0.2786335 0.02706119 0.00000000 0.03592044 0.20084761 1.0000000 #> 7  0.5666979 0.2620602 0.00000000 0.12099252 0.07133814 0.13232551 1.0000000 #> 8  0.4203039 0.3092784 0.09237036 0.05442042 0.00000000 0.45520558 1.0000000 #> 9  0.4586261 0.4668613 0.39738003 0.23205534 0.00000000 0.37067096 1.0000000 #> 10 0.8811321 1.0000000 0.53841500 0.22974016 0.00000000 0.30490542 0.4881046 #> 11 0.4015809 0.4877111 0.04846721 0.05741594 0.00000000 0.07716367 1.0000000 #> 12 0.5052572 0.3359211 0.07100055 0.09489782 0.00000000 0.25811214 1.0000000 # Example 2 # compute the mean expression profiles for each phylostratum age.apply(PhyloExpressionSetExample, colMeans) #>      Zygote Quadrant Globular    Heart  Torpedo     Bent   Mature #> 1  2607.882 2579.372 2604.856 2525.704 2554.825 2622.757 2696.331 #> 2  2597.258 2574.745 2467.679 2388.045 2296.410 2243.716 2321.709 #> 3  2528.272 2363.159 2019.436 2099.079 2155.642 2196.875 2855.866 #> 4  1925.320 1887.078 1771.399 1787.175 1740.823 1867.981 2358.893 #> 5  2378.883 2368.593 2061.729 2077.087 2076.693 2564.904 3157.761 #> 6  1658.253 1697.242 1485.401 1462.613 1492.861 1631.741 2304.683 #> 7  1993.321 1717.659 1480.525 1590.009 1545.078 1600.264 2385.409 #> 8  1781.653 1670.106 1452.180 1414.052 1359.376 1816.718 2364.070 #> 9  1758.119 1764.748 1708.815 1575.727 1388.920 1687.314 2193.930 #> 10 2414.456 2501.390 2163.810 1938.060 1770.039 1993.032 2127.015 #> 11 1999.163 2071.456 1702.779 1710.290 1662.099 1726.865 2501.443 #> 12 2126.189 2036.804 1896.964 1909.578 1859.485 1995.732 2387.343  # Example 3 # compute the variance profiles for each phylostratum age.apply(PhyloExpressionSetExample, function(x) apply(x , 2 , var)) #>      Zygote Quadrant Globular    Heart  Torpedo     Bent   Mature #> 1  46858320 44033012 44106145 38877224 37548528 39453762 48129006 #> 2  46867279 42686867 36090002 32587501 29232620 28376678 30460806 #> 3  41783430 37194145 17928194 20312145 21038520 24918360 57471592 #> 4  19261723 17160926 13850827 14557261 13350847 19932521 42637133 #> 5  32592884 31153055 21527988 22233611 23096264 45694558 78388518 #> 6  12118906 13540947  8706851  8870013 10758437 17580299 58334320 #> 7  30355579 18174987  7117039 10899294 12633952 15875758 55103241 #> 8  13397069 11015110  6730029  5014969  3743414 27906852 52729250 #> 9  11342446 12741601 14947365  8479977  4709920 22850095 41873875 #> 10 47788107 50703428 35831030 30053404 22091444 35323704 36885550 #> 11 24104869 30970830 12777528 14043089 16961809 24200949 56830372 #> 12 30642509 27840568 23658038 23072584 22502870 29014330 49513851  # Example 4 # compute the range for each phylostratum # Note: in this case, the range() function returns 2 values for each phylostratum # and each developmental stage, hence one should use the argument 'as.list = TRUE' # to make sure that the results are returned properly  age.apply(PhyloExpressionSetExample, function(x) apply(x , 2 , range), as.list = TRUE) #> $`1` #>         Zygote   Quadrant   Globular      Heart    Torpedo       Bent #> [1,]   585.206   554.8961   548.0507   568.1412   540.0542   535.9804 #> [2,] 71936.292 68151.2904 72995.7957 67833.2550 64942.5576 69482.5093 #>          Mature #> [1,]   532.3402 #> [2,] 77475.7206 #>  #> $`2` #>          Zygote   Quadrant   Globular      Heart    Torpedo       Bent #> [1,]   580.6445   574.6997   560.7247   547.7568   557.0626   530.3735 #> [2,] 73999.5109 66168.5626 68717.7230 64428.0043 64437.4151 68692.2235 #>          Mature #> [1,]   562.4309 #> [2,] 67137.1151 #>  #> $`3` #>          Zygote   Quadrant   Globular      Heart    Torpedo       Bent #> [1,]   623.1659   589.5403   580.2586   588.6726   566.7765   558.5507 #> [2,] 68451.1737 67297.4233 60605.4226 61712.1844 54853.5566 55114.0385 #>          Mature #> [1,]   596.9872 #> [2,] 67058.7800 #>  #> $`4` #>          Zygote   Quadrant   Globular      Heart    Torpedo       Bent #> [1,]   589.5377   574.8131   560.7161   559.2638   569.3281   553.8426 #> [2,] 64147.2534 63952.2243 57847.7659 61816.6287 48750.3696 60011.1444 #>          Mature #> [1,]   572.2069 #> [2,] 75420.3483 #>  #> $`5` #>         Zygote   Quadrant   Globular      Heart    Torpedo       Bent    Mature #> [1,]   571.478   572.2143   597.7567   588.9979   567.5319   571.7144   564.607 #> [2,] 66824.532 55393.2659 54161.7005 56953.2335 56346.4812 61459.7431 81105.580 #>  #> $`6` #>          Zygote   Quadrant  Globular      Heart   Torpedo      Bent     Mature #> [1,]   589.0266   576.3678   568.514   575.5234   567.864   554.431   569.6375 #> [2,] 61492.5176 58588.9023 54426.657 53748.3906 57102.640 61177.576 81496.1486 #>  #> $`7` #>          Zygote   Quadrant   Globular     Heart    Torpedo       Bent #> [1,]   605.8876   581.1317   592.6554   591.897   560.0847   563.6024 #> [2,] 62256.6328 56018.9987 25729.4257 34192.828 44443.2861 50930.9745 #>          Mature #> [1,]   561.2506 #> [2,] 71635.6409 #>  #> $`8` #>          Zygote   Quadrant   Globular      Heart    Torpedo       Bent #> [1,]   637.9878   569.1286   584.7325   605.0823   594.4442   600.2223 #> [2,] 41138.0802 40931.4758 33941.3019 29157.0095 23359.8204 68783.3661 #>          Mature #> [1,]   556.4985 #> [2,] 68490.5460 #>  #> $`9` #>          Zygote   Quadrant   Globular      Heart  Torpedo       Bent     Mature #> [1,]   641.0205   616.7897   581.1254   581.5667   586.88   591.8835   579.5047 #> [2,] 33543.3348 34506.4575 48067.4038 31816.1675 21583.04 65310.1500 67092.0569 #>  #> $`10` #>          Zygote   Quadrant   Globular      Heart   Torpedo       Bent #> [1,]   615.9278   592.7529   574.7775   575.9234   572.552   578.3298 #> [2,] 66638.5047 62675.8417 67192.4804 64719.1091 60300.004 66748.8375 #>          Mature #> [1,]   582.9723 #> [2,] 67226.2424 #>  #> $`11` #>          Zygote   Quadrant   Globular      Heart    Torpedo       Bent #> [1,]   619.2366   592.5207   597.7823   591.3239   566.7128   583.1649 #> [2,] 47624.9229 57584.7661 35765.6619 28663.2997 40557.9861 56151.2591 #>          Mature #> [1,]   607.0129 #> [2,] 59611.1041 #>  #> $`12` #>          Zygote   Quadrant   Globular      Heart    Torpedo       Bent #> [1,]   604.2214   569.8133   554.2327   569.9091   543.0326   532.1237 #> [2,] 65504.4362 64548.6717 68522.0261 65165.0830 59914.2792 64947.7257 #>          Mature #> [1,]   563.0654 #> [2,] 68435.7395 #>"},{"path":"https://drostlab.github.io/myTAI/reference/bar.colors.html","id":null,"dir":"Reference","previous_headings":"","what":"Color palette for barplots — bar.colors","title":"Color palette for barplots — bar.colors","text":"nice color palette barplots several bars.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/bar.colors.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Color palette for barplots — bar.colors","text":"","code":"bar.colors(n)"},{"path":"https://drostlab.github.io/myTAI/reference/bar.colors.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Color palette for barplots — bar.colors","text":"n number colors palette.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/bar.colors.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Color palette for barplots — bar.colors","text":"character vector containing different color names can used barplots.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/bar.colors.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Color palette for barplots — bar.colors","text":"function can used select colors bar plots.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/bar.colors.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Color palette for barplots — bar.colors","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/bar.colors.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Color palette for barplots — bar.colors","text":"","code":"# get 5 different colors for 5 different bars barplot_colors <- bar.colors(5)"},{"path":"https://drostlab.github.io/myTAI/reference/bootMatrix.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute a Permutation Matrix for Test Statistics — bootMatrix","title":"Compute a Permutation Matrix for Test Statistics — bootMatrix","text":"function computes TAI row permutated PhyloExpressionSet DivergenceExpressionSet. One can specify number permutations corresponds number TAI TDI profiles returned data matrix. function returns TAI TDI matrix holding TAI TDI profiles permutated PhyloExpressionSets DivergenceExpressionSets. procedure can used building test statistics based TAI TDI profiles.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/bootMatrix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute a Permutation Matrix for Test Statistics — bootMatrix","text":"","code":"bootMatrix(ExpressionSet, permutations = 1000)"},{"path":"https://drostlab.github.io/myTAI/reference/bootMatrix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute a Permutation Matrix for Test Statistics — bootMatrix","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. permutations numeric value specifying number permutations performed.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/bootMatrix.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute a Permutation Matrix for Test Statistics — bootMatrix","text":"numeric matrix representing N randomly permuted TAI TDI profiles.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/bootMatrix.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute a Permutation Matrix for Test Statistics — bootMatrix","text":"sampled TAI TDI matrix samples phylostratum divergence-stratum vector given PhyloExpressionSet DivergenceExpressionSet computes corresponding TAI TDI profiles randomly assigned phylostrata divergence-strata. sampling performed N times, yielding N randomly sampled TAI TDI profiles. random TAI TDI profile matrix can used perform statistical tests (FlatLineTest, ReductiveHourglassTest, EarlyConservationTest) based significance TAI TDI patterns.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/bootMatrix.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute a Permutation Matrix for Test Statistics — bootMatrix","text":"Quint M et al. (2012). transcriptomic hourglass plant embryogenesis. Nature (490):  98-101. Drost HG et al. (2015) Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/bootMatrix.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute a Permutation Matrix for Test Statistics — bootMatrix","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/bootMatrix.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute a Permutation Matrix for Test Statistics — bootMatrix","text":"","code":"# read standard phylotranscriptomics data data(PhyloExpressionSetExample) data(DivergenceExpressionSetExample)  # example PhyloExpressionSet using 100 permutations randomTAI.Matrix <- bootMatrix(PhyloExpressionSetExample, permutations = 100) #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>   # example DivergenceExpressionSet using 100 permutations randomTDI.Matrix <- bootMatrix(DivergenceExpressionSetExample, permutations = 100) #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>"},{"path":"https://drostlab.github.io/myTAI/reference/bootTEI.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute a Permutation Matrix of Transcriptome Evolutionary Index (TEI) — bootTEI","title":"Compute a Permutation Matrix of Transcriptome Evolutionary Index (TEI) — bootTEI","text":"function computes transcriptome evolutionary index (TEI) using permuted strata values.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/bootTEI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute a Permutation Matrix of Transcriptome Evolutionary Index (TEI) — bootTEI","text":"","code":"bootTEI(   ExpressionSet,   Phylostratum = NULL,   permutations = 100,   split = 1e+05,   showprogress = TRUE,   threads = 1 )"},{"path":"https://drostlab.github.io/myTAI/reference/bootTEI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute a Permutation Matrix of Transcriptome Evolutionary Index (TEI) — bootTEI","text":"ExpressionSet expression object rownames GeneID (dgCMatrix) standard PhyloExpressionSet object. Phylostratum named vector representing phylostratum per GeneID names GeneID (used Expression PhyloExpressionSet). permutations numeric value specifying number permutations performed. split specify number columns split showprogress boolean progressbar shown threads specify number threads","code":""},{"path":"https://drostlab.github.io/myTAI/reference/bootTEI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute a Permutation Matrix of Transcriptome Evolutionary Index (TEI) — bootTEI","text":"numeric matrix storing TEI values based permuted strata.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/bootTEI.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute a Permutation Matrix of Transcriptome Evolutionary Index (TEI) — bootTEI","text":"strata values sampled global TEI calculated N times.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/bootTEI.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute a Permutation Matrix of Transcriptome Evolutionary Index (TEI) — bootTEI","text":"Domazet-Loso T. Tautz D. (2010). phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns. Nature (468): 815-818. Quint M et al. (2012). transcriptomic hourglass plant embryogenesis. Nature (490): 98-101. Drost HG et al. (2015) Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012","code":""},{"path":"https://drostlab.github.io/myTAI/reference/bootTEI.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute a Permutation Matrix of Transcriptome Evolutionary Index (TEI) — bootTEI","text":"Kristian K Ullrich","code":""},{"path":"https://drostlab.github.io/myTAI/reference/bootTEI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute a Permutation Matrix of Transcriptome Evolutionary Index (TEI) — bootTEI","text":"","code":"# reading a standard PhyloExpressionSet data(PhyloExpressionSetExample, package = \"myTAI\")  # computing partial TEI contribution per gene bM <- bootTEI(PhyloExpressionSetExample)"},{"path":"https://drostlab.github.io/myTAI/reference/ecScore.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute the Hourglass Score for the EarlyConservationTest — ecScore","title":"Compute the Hourglass Score for the EarlyConservationTest — ecScore","text":"function computes EarlyConservationTest score given TAI TDI pattern. reductive early conservation test permutation test based following test statistic. - set developmental stages partitioned three modules - early, mid, late - based prior biological knowledge. - mean TAI TDI value three modules T_early, T_mid, T_late computed. - two differences D1 = T_mid - T_early D2 = T_late - T_early calculated. - minimum D_min D1 D2 computed final test statistic reductive early conservation test. function ecScore computes D_min value given TAI TDI stored age_vals argument.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/ecScore.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute the Hourglass Score for the EarlyConservationTest — ecScore","text":"","code":"ecScore(age_vals, early, mid, late, profile.warn = FALSE)"},{"path":"https://drostlab.github.io/myTAI/reference/ecScore.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute the Hourglass Score for the EarlyConservationTest — ecScore","text":"age_vals numeric vector containing TAI TDI values developmental stage s. early numeric vector storing numeric stage values correspond early phase development. mid numeric vector storing numeric stage values correspond middle phase development. late numeric vector storing numeric stage values correspond late phase development. profile.warn boolean value indicating whether warning printed low-mid-high pattern followed.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/ecScore.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute the Hourglass Score for the EarlyConservationTest — ecScore","text":"numeric value representing early conservation score.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/ecScore.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute the Hourglass Score for the EarlyConservationTest — ecScore","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/ecScore.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute the Hourglass Score for the EarlyConservationTest — ecScore","text":"","code":"# read standard phylotranscriptomics data  data(PhyloExpressionSetExample)  data(DivergenceExpressionSetExample)   # Example PhyloExpressionSet:   # compute the TAI profile  TAIs <- TAI(PhyloExpressionSetExample)   # compute the early conservation score for the TAI profile  ec_score <- ecScore(age_vals = TAIs,early = 1:2,mid = 3:5,late = 6:7)    # Example DivergenceExpressionSet:   # compute the TDI profile  TDIs <- TDI(DivergenceExpressionSetExample)   # compute the early conservation score for the TDI profile  ec_score <- ecScore(age_vals = TDIs,early = 1:2,mid = 3:5,late = 6:7)    # compute ecScore() vector from bootMatrix()  apply(bootMatrix(PhyloExpressionSetExample,10),1,ecScore,early = 1:2,mid = 3:5,late = 6:7) #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #>           1           2           3           4           5           6  #> -0.05681366 -0.02292928 -0.05911419 -0.04578738 -0.02225435 -0.02986441  #>           7           8           9          10  #>  0.01308162 -0.03649770  0.04031555 -0.04323258     # get warning if the expected pattern isn't followed  ec_score <- ecScore(age_vals = TAIs,early = 1:2,mid = 3:5,late = 6:7,profile.warn=TRUE) #> The phylotranscriptomic pattern may not follow an early conservation pattern (low-mid-high or low-high-high)."},{"path":"https://drostlab.github.io/myTAI/reference/geom.mean.html","id":null,"dir":"Reference","previous_headings":"","what":"Geometric Mean — geom.mean","title":"Geometric Mean — geom.mean","text":"function computes geometric mean numeric input vector x.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/geom.mean.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Geometric Mean — geom.mean","text":"","code":"geom.mean(x)"},{"path":"https://drostlab.github.io/myTAI/reference/geom.mean.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Geometric Mean — geom.mean","text":"x numeric vector geometric mean computations shall performed.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/geom.mean.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Geometric Mean — geom.mean","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/geom.mean.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Geometric Mean — geom.mean","text":"","code":"x <- 1:10  geom.mean(x) #> [1] 4.528729"},{"path":"https://drostlab.github.io/myTAI/reference/harm.mean.html","id":null,"dir":"Reference","previous_headings":"","what":"Harmonic Mean — harm.mean","title":"Harmonic Mean — harm.mean","text":"function computes harmonic mean numeric input vector x.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/harm.mean.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Harmonic Mean — harm.mean","text":"","code":"harm.mean(x)"},{"path":"https://drostlab.github.io/myTAI/reference/harm.mean.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Harmonic Mean — harm.mean","text":"x numeric vector harmonic mean computations shall performed.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/harm.mean.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Harmonic Mean — harm.mean","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/harm.mean.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Harmonic Mean — harm.mean","text":"","code":"x <- 1:10  harm.mean(x) #> [1] 3.414172"},{"path":"https://drostlab.github.io/myTAI/reference/is.ExpressionSet.html","id":null,"dir":"Reference","previous_headings":"","what":"Test ExpressionSet Standard — is.ExpressionSet","title":"Test ExpressionSet Standard — is.ExpressionSet","text":"function tests whether given ExpressionSet follows pre-defined PhyloExpressionSet DivergenceExpressionSet standard.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/is.ExpressionSet.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test ExpressionSet Standard — is.ExpressionSet","text":"","code":"is.ExpressionSet(ExpressionSet)"},{"path":"https://drostlab.github.io/myTAI/reference/is.ExpressionSet.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test ExpressionSet Standard — is.ExpressionSet","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet shall tested format validity.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/is.ExpressionSet.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Test ExpressionSet Standard — is.ExpressionSet","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/is.ExpressionSet.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test ExpressionSet Standard — is.ExpressionSet","text":"","code":"# read example PhyloExpressionSet data(PhyloExpressionSetExample)  is.ExpressionSet(PhyloExpressionSetExample) #> [1] TRUE"},{"path":"https://drostlab.github.io/myTAI/reference/lcScore.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute the Hourglass Score for the LateConservationTest — lcScore","title":"Compute the Hourglass Score for the LateConservationTest — lcScore","text":"function computes LateConservationTest score given TAI TDI pattern. reductive late conservation test permutation test based following test statistic. - set developmental stages partitioned three modules - early, mid, late - based prior biological knowledge. - mean TAI TDI value three modules T_early, T_mid, T_late computed. - two differences D1 = T_early - T_late D2 = T_mid - T_late calculated. - minimum D_min D1 D2 computed final test statistic reductive late conservation test. function lcScore computes D_min value given TAI TDI stored age_vals argument.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/lcScore.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute the Hourglass Score for the LateConservationTest — lcScore","text":"","code":"lcScore(age_vals, early, mid, late, profile.warn = FALSE)"},{"path":"https://drostlab.github.io/myTAI/reference/lcScore.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute the Hourglass Score for the LateConservationTest — lcScore","text":"age_vals numeric vector containing TAI TDI values developmental stage s. early numeric vector storing numeric stage values correspond early phase development. mid numeric vector storing numeric stage values correspond middle phase development. late numeric vector storing numeric stage values correspond late phase development. profile.warn boolean value indicating whether warning printed high-mid-low pattern followed.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/lcScore.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute the Hourglass Score for the LateConservationTest — lcScore","text":"numeric value representing late conservation score.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/lcScore.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute the Hourglass Score for the LateConservationTest — lcScore","text":"Hajk-Georg Drost Jaruwatana Sodai Lotharukpong","code":""},{"path":"https://drostlab.github.io/myTAI/reference/lcScore.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute the Hourglass Score for the LateConservationTest — lcScore","text":"","code":"# read standard phylotranscriptomics data  data(PhyloExpressionSetExample)  data(DivergenceExpressionSetExample)   # Example PhyloExpressionSet:   # compute the TAI profile  TAIs <- TAI(PhyloExpressionSetExample)   # compute the late conservation score for the TAI profile  lc_score <- lcScore(age_vals = TAIs,early = 1:2,mid = 3:5,late = 6:7)    # Example DivergenceExpressionSet:   # compute the TDI profile  TDIs <- TDI(DivergenceExpressionSetExample)   # compute the late conservation score for the TDI profile  lc_score <- lcScore(age_vals = TDIs,early = 1:2,mid = 3:5,late = 6:7)    # compute lcScore() vector from bootMatrix()  apply(bootMatrix(PhyloExpressionSetExample,10),1,lcScore,early = 1:2,mid = 3:5,late = 6:7) #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #>            1            2            3            4            5            6  #> -0.002674790 -0.051208266 -0.035363643  0.010016502 -0.052145721  0.038411729  #>            7            8            9           10  #>  0.009693024  0.006257383  0.014944768  0.024002544     # get warning if the expected pattern isn't followed  lc_score <- lcScore(age_vals = TAIs,early = 1:2,mid = 3:5,late = 6:7,profile.warn=TRUE) #> The phylotranscriptomic pattern may not follow a late conservation pattern (high-mid-low or high-high-low)."},{"path":"https://drostlab.github.io/myTAI/reference/omitMatrix.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute TAI or TDI Profiles Omitting a Given Gene — omitMatrix","title":"Compute TAI or TDI Profiles Omitting a Given Gene — omitMatrix","text":"gene , exclude corresponding gene global  PhyloExpressionSet DivergenceExpressionSet compute TAI TDI  profile corresponding global PhyloExpressionSet DivergenceExpressionSet  excluded gene . procedure results TAI TDI profile Matrix storing TAI TDI profile omitted gene .","code":""},{"path":"https://drostlab.github.io/myTAI/reference/omitMatrix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute TAI or TDI Profiles Omitting a Given Gene — omitMatrix","text":"","code":"omitMatrix(ExpressionSet)"},{"path":"https://drostlab.github.io/myTAI/reference/omitMatrix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute TAI or TDI Profiles Omitting a Given Gene — omitMatrix","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/omitMatrix.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute TAI or TDI Profiles Omitting a Given Gene — omitMatrix","text":"numeric matrix storing TAI TDI profile omitted gene .","code":""},{"path":"https://drostlab.github.io/myTAI/reference/omitMatrix.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute TAI or TDI Profiles Omitting a Given Gene — omitMatrix","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/omitMatrix.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute TAI or TDI Profiles Omitting a Given Gene — omitMatrix","text":"","code":"# read standard phylotranscriptomics data data(PhyloExpressionSetExample) data(DivergenceExpressionSetExample)  # example PhyloExpressionSet omMatrix_ps <- omitMatrix(PhyloExpressionSetExample)  # example DivergenceExpressionSet omMatrix_ds <- omitMatrix(DivergenceExpressionSetExample)"},{"path":"https://drostlab.github.io/myTAI/reference/pMatrix.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute Partial TAI or TDI Values — pMatrix","title":"Compute Partial TAI or TDI Values — pMatrix","text":"function computes partial TAI TDI values single gene PhyloExpressionSet DivergenceExpressionSet object. detail, gene gets TAI contribution profile TDI contribution profile. $$TAI_{} = f_{} * ps_i$$ $$TDI_{} = f_{} * ps_i$$ \\(TAI_{}\\) \\(TDI_{}\\) partial TAI TDI value gene , \\(f_{} = e_{} / \\sum e_{}\\) \\(ps_i\\) phylostratum divergence-stratum gene .","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pMatrix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute Partial TAI or TDI Values — pMatrix","text":"","code":"pMatrix(ExpressionSet)"},{"path":"https://drostlab.github.io/myTAI/reference/pMatrix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute Partial TAI or TDI Values — pMatrix","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pMatrix.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute Partial TAI or TDI Values — pMatrix","text":"numeric matrix storing partial TAI TDI values gene corresponding PhyloExpressionSet DivergenceExpressionSet.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pMatrix.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute Partial TAI or TDI Values — pMatrix","text":"partial TAI TDI matrix can used perform different cluster analyses also gives overall impression contribution gene global TAI TDI pattern.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pMatrix.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute Partial TAI or TDI Values — pMatrix","text":"Domazet-Loso T Tautz D. 2010. \"phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns\". Nature (468): 815-818.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pMatrix.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute Partial TAI or TDI Values — pMatrix","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pMatrix.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute Partial TAI or TDI Values — pMatrix","text":"","code":"# read standard phylotranscriptomics data data(PhyloExpressionSetExample) data(DivergenceExpressionSetExample)  # example PhyloExpressionSet PTM_ps <- pMatrix(PhyloExpressionSetExample)  # example DivergenceExpressionSet PTM_ds <- pMatrix(DivergenceExpressionSetExample)  # boxplot of the pMatrix boxplot(pMatrix(PhyloExpressionSetExample),outline = FALSE)   # boxplot of the pMatrix using log2 transformed expression levels boxplot(pMatrix(tf(PhyloExpressionSetExample,log2)))"},{"path":"https://drostlab.github.io/myTAI/reference/pMatrixTEI.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute Partial Transcriptome Evolutionary Index (TEI) Values — pMatrixTEI","title":"Compute Partial Transcriptome Evolutionary Index (TEI) Values — pMatrixTEI","text":"function computes partial transcriptome evolutionary index (TEI) values single gene. detail, gene gets TEI contribution profile. $$TEI_{} = f_{} * ps_i$$ \\(TEI_{}\\) partial TEI value gene , \\(f_{} = e_{} / \\sum e_{}\\) \\(ps_i\\) phylostratum gene .","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pMatrixTEI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute Partial Transcriptome Evolutionary Index (TEI) Values — pMatrixTEI","text":"","code":"pMatrixTEI(   ExpressionSet,   Phylostratum = NULL,   split = 1e+05,   showprogress = TRUE,   threads = 1 )"},{"path":"https://drostlab.github.io/myTAI/reference/pMatrixTEI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute Partial Transcriptome Evolutionary Index (TEI) Values — pMatrixTEI","text":"ExpressionSet expression object rownames GeneID (dgCMatrix) standard PhyloExpressionSet object. Phylostratum named vector representing phylostratum per GeneID names GeneID (used Expression PhyloExpressionSet). split specify number columns split showprogress boolean progressbar shown threads specify number threads","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pMatrixTEI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute Partial Transcriptome Evolutionary Index (TEI) Values — pMatrixTEI","text":"numeric sparse matrix storing partial TEI values gene.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pMatrixTEI.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute Partial Transcriptome Evolutionary Index (TEI) Values — pMatrixTEI","text":"partial TEI matrix can used perform different cluster analyses also gives overall impression contribution gene global TEI pattern.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pMatrixTEI.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute Partial Transcriptome Evolutionary Index (TEI) Values — pMatrixTEI","text":"Domazet-Loso T. Tautz D. (2010). phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns. Nature (468): 815-818. Quint M et al. (2012). transcriptomic hourglass plant embryogenesis. Nature (490): 98-101. Drost HG et al. (2015) Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pMatrixTEI.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute Partial Transcriptome Evolutionary Index (TEI) Values — pMatrixTEI","text":"Kristian K Ullrich","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pMatrixTEI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute Partial Transcriptome Evolutionary Index (TEI) Values — pMatrixTEI","text":"","code":"# reading a standard PhyloExpressionSet data(PhyloExpressionSetExample, package = \"myTAI\")  # computing partial TEI contribution per gene pMT <- pMatrixTEI(PhyloExpressionSetExample)"},{"path":"https://drostlab.github.io/myTAI/reference/pStrata.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute Partial Strata Values — pStrata","title":"Compute Partial Strata Values — pStrata","text":"function computes partial TAI TDI values Phylostrata Divergence Strata.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pStrata.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute Partial Strata Values — pStrata","text":"","code":"pStrata(ExpressionSet)"},{"path":"https://drostlab.github.io/myTAI/reference/pStrata.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute Partial Strata Values — pStrata","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pStrata.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute Partial Strata Values — pStrata","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pStrata.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute Partial Strata Values — pStrata","text":"","code":"data(PhyloExpressionSetExample)  # compute partial TAI values for each Phylostratum partialStrata <- pStrata(PhyloExpressionSetExample)  # show that colSums of pStrata is equavalent to the TAI values all.equal(colSums(partialStrata),TAI(PhyloExpressionSetExample)) #> [1] TRUE  # show that colSums of pStrata is equavalent to colSums of pMatrix(PhyloExpressionSetExample) all.equal(colSums(partialStrata),colSums(pMatrix(PhyloExpressionSetExample))) #> [1] TRUE"},{"path":"https://drostlab.github.io/myTAI/reference/pStrataTEI.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute Partial Transcriptome Evolutionary Index (TEI) Strata Values — pStrataTEI","title":"Compute Partial Transcriptome Evolutionary Index (TEI) Strata Values — pStrataTEI","text":"function computes partial transcriptome evolutionary index (TEI) values combined strata. detail, gene gets TEI contribution profile. $$TEI_{} = f_{} * ps_i$$ \\(TEI_{}\\) partial TEI value gene , \\(f_{} = e_{} / \\sum e_{}\\) \\(ps_i\\) phylostratum gene . \\(TEI_{}\\) values combined per \\(ps\\).","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pStrataTEI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute Partial Transcriptome Evolutionary Index (TEI) Strata Values — pStrataTEI","text":"","code":"pStrataTEI(   ExpressionSet,   Phylostratum = NULL,   split = 1e+05,   showprogress = TRUE,   threads = 1 )"},{"path":"https://drostlab.github.io/myTAI/reference/pStrataTEI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute Partial Transcriptome Evolutionary Index (TEI) Strata Values — pStrataTEI","text":"ExpressionSet expression object rownames GeneID (dgCMatrix) standard PhyloExpressionSet object. Phylostratum named vector representing phylostratum per GeneID names GeneID (used Expression PhyloExpressionSet). split specify number columns split showprogress boolean progressbar shown threads specify number threads","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pStrataTEI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute Partial Transcriptome Evolutionary Index (TEI) Strata Values — pStrataTEI","text":"numeric matrix storing summed partial TEI values strata.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pStrataTEI.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute Partial Transcriptome Evolutionary Index (TEI) Strata Values — pStrataTEI","text":"partial TEI values combined per strata give overall impression contribution strata global TEI pattern.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pStrataTEI.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute Partial Transcriptome Evolutionary Index (TEI) Strata Values — pStrataTEI","text":"Domazet-Loso T. Tautz D. (2010). phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns. Nature (468): 815-818. Quint M et al. (2012). transcriptomic hourglass plant embryogenesis. Nature (490): 98-101. Drost HG et al. (2015) Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pStrataTEI.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute Partial Transcriptome Evolutionary Index (TEI) Strata Values — pStrataTEI","text":"Kristian K Ullrich","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pStrataTEI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute Partial Transcriptome Evolutionary Index (TEI) Strata Values — pStrataTEI","text":"","code":"# reading a standard PhyloExpressionSet data(PhyloExpressionSetExample, package = \"myTAI\")  # computing partial TEI contribution per gene pS <- pStrataTEI(PhyloExpressionSetExample)"},{"path":"https://drostlab.github.io/myTAI/reference/pTAI.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute the Phylostratum Contribution to the Global Transcriptome Age Index — pTAI","title":"Compute the Phylostratum Contribution to the Global Transcriptome Age Index — pTAI","text":"function takes standard ExpressionSet object computes partial contribution different phylostrata (ps) global Transcriptome Age Index profile.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pTAI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute the Phylostratum Contribution to the Global Transcriptome Age Index — pTAI","text":"","code":"pTAI(ExpressionSet)"},{"path":"https://drostlab.github.io/myTAI/reference/pTAI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute the Phylostratum Contribution to the Global Transcriptome Age Index — pTAI","text":"ExpressionSet standard PhyloExpressionSet object.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pTAI.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute the Phylostratum Contribution to the Global Transcriptome Age Index — pTAI","text":"way computing partial contribution different phylostrata (ps) global Transcriptome Age Index profile introduced Domazet-Loso Tautz, 2010. function (pTAI) computes partial TAI contribution phylostratum developmental stage returns data matrix storing partial TAI contribution value phylostratum developmental stage.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pTAI.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute the Phylostratum Contribution to the Global Transcriptome Age Index — pTAI","text":"Domazet-Loso T. Tautz D. (2010). phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns. Nature (468): 815-818.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/pTAI.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute the Phylostratum Contribution to the Global Transcriptome Age Index — pTAI","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pTAI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute the Phylostratum Contribution to the Global Transcriptome Age Index — pTAI","text":"","code":"data(PhyloExpressionSetExample)  # get the partial contribution of phylostrata to the global # TAI pattern pTAI(PhyloExpressionSetExample) #>       Zygote  Quadrant  Globular     Heart   Torpedo      Bent    Mature #> 1  0.3929533 0.3935308 0.4142106 0.4115399 0.4216806 0.4178302 0.3883815 #> 2  0.9521021 0.9547833 0.9748522 0.9674842 0.9632213 0.9285336 0.8661883 #> 3  1.0502814 1.0477016 1.0576104 1.0556300 1.0549156 1.0187303 0.9722031 #> 4  1.3861830 1.3810595 1.3837548 1.3928030 1.3876006 1.3632945 1.3656170 #> 5  1.5527473 1.5489829 1.5360986 1.5500708 1.5468767 1.5531699 1.5769758 #> 6  1.8114772 1.8171167 1.7806803 1.7968463 1.8020203 1.8223456 1.9207232 #> 7  1.8766090 1.8739449 1.8317327 1.8530276 1.8573216 1.8776292 1.9952325 #> 8  1.9417254 1.9357499 1.8877436 1.9089144 1.9117438 1.9478303 2.0778287 #> 9  2.0339192 2.0294517 1.9823091 1.9982678 1.9915249 2.0413791 2.1878074 #> 10 2.4215868 2.4361137 2.3489524 2.3347670 2.3028346 2.3797112 2.5142773 #> 11 2.4900201 2.5079107 2.4104647 2.3980760 2.3651571 2.4422093 2.5961316 #> 12 3.2299418 3.2256139 3.1071348 3.1166934 3.0739935 3.1765113 3.3903336"},{"path":"https://drostlab.github.io/myTAI/reference/pTDI.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute the Divergence Stratum Contribution to the Global Transcriptome Divergence Index — pTDI","title":"Compute the Divergence Stratum Contribution to the Global Transcriptome Divergence Index — pTDI","text":"function takes standard ExpressionSet object computes partial contribution different divergence strata (ds) global Transcriptome Divergence Index profile.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pTDI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute the Divergence Stratum Contribution to the Global Transcriptome Divergence Index — pTDI","text":"","code":"pTDI(ExpressionSet)"},{"path":"https://drostlab.github.io/myTAI/reference/pTDI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute the Divergence Stratum Contribution to the Global Transcriptome Divergence Index — pTDI","text":"ExpressionSet standard DivergenceExpressionSet object.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pTDI.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute the Divergence Stratum Contribution to the Global Transcriptome Divergence Index — pTDI","text":"function (pTDI) computes partial TDI contribution phylostratum developmental stage returns data matrix storing partial TDI contribution value divergence developmental stage.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pTDI.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute the Divergence Stratum Contribution to the Global Transcriptome Divergence Index — pTDI","text":"Domazet-Loso T. Tautz D. (2010). phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns. Nature (468): 815-818. Quint M et al. (2012). transcriptomic hourglass plant embryogenesis. Nature (490): 98-101. Drost HG et al. (2015). Evidence Active Maintenance Phylotranscriptomic Hourglass Patterns Animal Plant Embryogenesis. Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/pTDI.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute the Divergence Stratum Contribution to the Global Transcriptome Divergence Index — pTDI","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pTDI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute the Divergence Stratum Contribution to the Global Transcriptome Divergence Index — pTDI","text":"","code":"data(DivergenceExpressionSetExample)  # get the partial contribution of divergence strata to the global # TDI pattern pTAI(DivergenceExpressionSetExample) #>       Zygote  Quadrant  Globular     Heart   Torpedo      Bent    Mature #> 1  0.2174378 0.2207644 0.2309211 0.2214881 0.2195601 0.2047938 0.1704023 #> 2  0.4800055 0.4762352 0.4821244 0.4752145 0.4799418 0.4695871 0.4288670 #> 3  0.7742988 0.7597816 0.7797646 0.7826244 0.8033702 0.8034316 0.7769026 #> 4  1.1463780 1.1285545 1.1408903 1.1528497 1.1694967 1.1784113 1.1933157 #> 5  1.5652686 1.5489672 1.5545589 1.5698173 1.5934158 1.6003011 1.6330444 #> 6  2.0899161 2.0609661 2.0666314 2.1015199 2.1163138 2.1306059 2.1932280 #> 7  2.6262330 2.6035894 2.6012719 2.6453427 2.6477490 2.6664143 2.8085434 #> 8  3.2211299 3.1990804 3.1767694 3.2319604 3.2292835 3.2693046 3.4412353 #> 9  3.8396769 3.8299654 3.7793476 3.8353941 3.8272391 3.8971210 4.0753877 #> 10 4.5320286 4.5632002 4.4857052 4.5008685 4.4664774 4.5307040 4.6902921"},{"path":"https://drostlab.github.io/myTAI/reference/pairScore.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute the Pairwise Difference in TAI Score — pairScore","title":"Compute the Pairwise Difference in TAI Score — pairScore","text":"function computes PairwiseTest score given TAI TDI pattern. pair test permutation test based following test statistic. - PhyloExpressionSet partitioned contrast pairs - contrast1 contrast2 - based prior biological knowledge. prior knowledge include sexual, ecological genetic backgrounds. - mean TAI TDI value two contrasts contrast1 contrast2 computed. - pairwise differences D_constrast = contrast1 - contrast2 calculated final test statistic pair test, altHypothesis specified \"greater\". altHypothesis specified \"less\", sign D_constrast reversed. function pairScore computes D_contrast value given TAI TDI stored age_vals argument.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pairScore.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute the Pairwise Difference in TAI Score — pairScore","text":"","code":"pairScore(age_vals, contrast1, contrast2, altHypothesis = NULL)"},{"path":"https://drostlab.github.io/myTAI/reference/pairScore.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute the Pairwise Difference in TAI Score — pairScore","text":"age_vals numeric vector containing TAI TDI values developmental stage s. contrast1 numeric vector storing numeric stage values correspond query contrast. contrast2 numeric vector storing numeric stage values correspond subject contrast. altHypothesis character string defining alternative hypothesis used quantify statistical significance present phylotranscriptomics pattern. Possible values can : altHypothesis = \"greater\" : contrast1 > contrast2 altHypothesis = \"less\" : contrast1 < contrast2","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pairScore.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute the Pairwise Difference in TAI Score — pairScore","text":"numeric value representing pair score.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/pairScore.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute the Pairwise Difference in TAI Score — pairScore","text":"Hajk-Georg Drost Jaruwatana Sodai Lotharukpong","code":""},{"path":"https://drostlab.github.io/myTAI/reference/pairScore.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute the Pairwise Difference in TAI Score — pairScore","text":"","code":"# read standard phylotranscriptomics data  data(PhyloExpressionSetExample)  data(DivergenceExpressionSetExample)   # Example PhyloExpressionSet:   # compute the TAI profile  TAIs <- TAI(PhyloExpressionSetExample)   # compute the pair score for the first two stages in the TAI profile  # we test whether TAI in contrast1 is greater than contrast 2.  pair_score <- pairScore(age_vals = TAIs,contrast1 = 1,contrast2 = 2,                          altHypothesis=\"greater\")    # Example DivergenceExpressionSet:   # compute the TDI profile  TDIs <- TDI(DivergenceExpressionSetExample)   # compute the pair score for the first two stages in the TDI profile  # we test whether TDI in contrast1 is greater than contrast 2.  pair_score <- pairScore(age_vals = TDIs,contrast1 = 1,contrast2 = 2,                          altHypothesis=\"greater\")    # compute pairScore() vector from bootMatrix()  apply(bootMatrix(PhyloExpressionSetExample,10),1,        pairScore,contrast1 = 1,contrast2 = 2, altHypothesis=\"greater\") #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #>             1             2             3             4             5  #>  0.0094227374  0.0102870656 -0.0022944993 -0.0045077845 -0.0006856504  #>             6             7             8             9            10  #>  0.0113790720 -0.0178215366 -0.0011520399  0.0040270946 -0.0192558721"},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_boottei_parallel.html","id":null,"dir":"Reference","previous_headings":"","what":"rcpp_boottei_parallel — rcpp_boottei_parallel","title":"rcpp_boottei_parallel — rcpp_boottei_parallel","text":"computes phylogenetically based transcriptome evolutionary index (TEI) shuffling strata permutation statistic","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_boottei_parallel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"rcpp_boottei_parallel — rcpp_boottei_parallel","text":"","code":"rcpp_boottei_parallel(expression, ps, permutations, ncores = 1L)"},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_boottei_parallel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"rcpp_boottei_parallel — rcpp_boottei_parallel","text":"expression ExpressionSet sparseMatrix ps named Phylostratum permutations number permutations ncores number cores","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_boottei_parallel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"rcpp_boottei_parallel — rcpp_boottei_parallel","text":"sparseMatrix","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_boottei_parallel.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"rcpp_boottei_parallel — rcpp_boottei_parallel","text":"Kristian K Ullrich","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_boottei_parallel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"rcpp_boottei_parallel — rcpp_boottei_parallel","text":"","code":"## load example PhyloExpressionSetExample  data(\"PhyloExpressionSetExample\", package=\"myTAI\")  ## convert into sparseMatrix - rownames GeneID  spmat <- as(data.matrix(PhyloExpressionSetExample[,-c(1,2)]),     \"sparseMatrix\") rownames(spmat) <- PhyloExpressionSetExample$GeneID  ## create named Phylostratum vector  ps <- setNames(PhyloExpressionSetExample$Phylostratum,     PhyloExpressionSetExample$GeneID)  ## get permutations rcpp_boottei_parallel(spmat, ps, 100, 1) #>            [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7] #>   [1,] 3.485065 3.500548 3.523695 3.513210 3.518488 3.536586 3.505940 #>   [2,] 3.450433 3.456191 3.459595 3.454438 3.437657 3.480261 3.446454 #>   [3,] 3.534142 3.534034 3.548797 3.550227 3.552603 3.554733 3.543461 #>   [4,] 3.536101 3.533254 3.513446 3.524565 3.517994 3.557340 3.536497 #>   [5,] 3.508651 3.518543 3.504199 3.540596 3.549397 3.552073 3.533044 #>   [6,] 3.558369 3.546603 3.531305 3.539373 3.552368 3.537420 3.447822 #>   [7,] 3.543463 3.539038 3.590499 3.559016 3.559545 3.572261 3.511127 #>   [8,] 3.450836 3.446856 3.440262 3.426459 3.421018 3.428527 3.506781 #>   [9,] 3.578727 3.576340 3.555575 3.558988 3.563689 3.556704 3.520515 #>  [10,] 3.569295 3.550210 3.514895 3.517598 3.539634 3.556474 3.541706 #>  [11,] 3.507978 3.525927 3.505090 3.510493 3.514511 3.457838 3.438887 #>  [12,] 3.521401 3.520601 3.483204 3.490950 3.493933 3.505095 3.493845 #>  [13,] 3.473782 3.475366 3.498906 3.519962 3.553547 3.536754 3.465897 #>  [14,] 3.495975 3.494553 3.522059 3.510915 3.491990 3.486616 3.478194 #>  [15,] 3.439812 3.418574 3.448768 3.460049 3.480807 3.480883 3.514986 #>  [16,] 3.537144 3.511894 3.513971 3.531042 3.530224 3.571280 3.514913 #>  [17,] 3.457717 3.446786 3.458322 3.483095 3.498497 3.517633 3.543894 #>  [18,] 3.455554 3.447912 3.470496 3.462529 3.452899 3.494469 3.529821 #>  [19,] 3.454914 3.469083 3.484552 3.491104 3.454225 3.452984 3.536013 #>  [20,] 3.531732 3.547022 3.584379 3.581904 3.559391 3.546595 3.488368 #>  [21,] 3.615637 3.569811 3.541041 3.537724 3.536676 3.523952 3.601040 #>  [22,] 3.597227 3.607700 3.546949 3.550177 3.546260 3.548395 3.609069 #>  [23,] 3.425372 3.423062 3.436914 3.427645 3.411498 3.442659 3.427586 #>  [24,] 3.650197 3.627605 3.645724 3.651598 3.631273 3.660346 3.586527 #>  [25,] 3.455602 3.472342 3.464089 3.464316 3.456929 3.437475 3.457195 #>  [26,] 3.473583 3.495222 3.518632 3.498197 3.507131 3.513286 3.480314 #>  [27,] 3.437233 3.422187 3.386025 3.382569 3.382434 3.352647 3.359759 #>  [28,] 3.444755 3.449036 3.452384 3.452610 3.460757 3.540128 3.569811 #>  [29,] 3.523749 3.533837 3.565080 3.535494 3.508461 3.494340 3.505571 #>  [30,] 3.454379 3.436866 3.458962 3.470221 3.469511 3.493466 3.563412 #>  [31,] 3.506344 3.548313 3.525084 3.498452 3.496660 3.475995 3.471965 #>  [32,] 3.402017 3.382286 3.395447 3.411462 3.426799 3.440598 3.465712 #>  [33,] 3.535107 3.495623 3.500223 3.503116 3.491167 3.515757 3.501457 #>  [34,] 3.545782 3.527204 3.533275 3.541225 3.546722 3.557578 3.553596 #>  [35,] 3.469558 3.466290 3.471240 3.470325 3.492974 3.496060 3.532502 #>  [36,] 3.439787 3.463764 3.465573 3.465791 3.460079 3.451410 3.435245 #>  [37,] 3.592363 3.609051 3.577068 3.579376 3.617450 3.614728 3.532373 #>  [38,] 3.442015 3.444140 3.451190 3.463300 3.487857 3.502834 3.448861 #>  [39,] 3.401813 3.404089 3.385019 3.384933 3.389660 3.382516 3.454582 #>  [40,] 3.477130 3.477000 3.519266 3.505307 3.484813 3.491189 3.430860 #>  [41,] 3.537599 3.509745 3.520441 3.525631 3.517660 3.519152 3.469915 #>  [42,] 3.502789 3.519938 3.540519 3.533407 3.516727 3.519334 3.549323 #>  [43,] 3.522362 3.512204 3.508342 3.514974 3.505605 3.498172 3.548005 #>  [44,] 3.419094 3.449131 3.452715 3.461094 3.435231 3.447928 3.450133 #>  [45,] 3.452982 3.447575 3.461756 3.476219 3.465800 3.461766 3.529605 #>  [46,] 3.530784 3.535163 3.539798 3.526743 3.563731 3.574288 3.470460 #>  [47,] 3.546035 3.549349 3.571674 3.580288 3.578451 3.585698 3.485385 #>  [48,] 3.443652 3.436089 3.509961 3.489863 3.488037 3.495170 3.615633 #>  [49,] 3.513142 3.508967 3.479432 3.494024 3.516489 3.536835 3.516466 #>  [50,] 3.460031 3.452279 3.485304 3.500410 3.497081 3.499209 3.520941 #>  [51,] 3.563983 3.536105 3.554214 3.568197 3.566877 3.592618 3.496183 #>  [52,] 3.513813 3.507023 3.525951 3.522930 3.510582 3.493686 3.520616 #>  [53,] 3.503404 3.499828 3.519098 3.508959 3.513663 3.538344 3.502143 #>  [54,] 3.487687 3.477153 3.448287 3.456206 3.447132 3.423523 3.506686 #>  [55,] 3.483835 3.472546 3.479919 3.502852 3.507656 3.497641 3.493258 #>  [56,] 3.544301 3.551873 3.548581 3.549295 3.528093 3.508926 3.607338 #>  [57,] 3.466352 3.488251 3.500020 3.497063 3.491411 3.472133 3.467444 #>  [58,] 3.437950 3.467349 3.476617 3.462564 3.470358 3.439007 3.440881 #>  [59,] 3.513794 3.513371 3.544162 3.563606 3.584393 3.616472 3.538583 #>  [60,] 3.395633 3.407416 3.447300 3.448800 3.473976 3.456841 3.413727 #>  [61,] 3.521370 3.527778 3.510665 3.516791 3.533563 3.530460 3.590304 #>  [62,] 3.435900 3.439003 3.462339 3.469575 3.476532 3.446932 3.489802 #>  [63,] 3.460701 3.478696 3.503909 3.497206 3.481968 3.477703 3.434062 #>  [64,] 3.564472 3.552119 3.529966 3.540339 3.570445 3.574167 3.557788 #>  [65,] 3.665218 3.641421 3.645443 3.643485 3.614275 3.566026 3.482296 #>  [66,] 3.549158 3.545901 3.551212 3.539276 3.535103 3.511192 3.516926 #>  [67,] 3.517841 3.520738 3.498495 3.488284 3.496990 3.462758 3.521473 #>  [68,] 3.498910 3.525966 3.510460 3.525591 3.540729 3.531492 3.526949 #>  [69,] 3.491820 3.502947 3.475760 3.492799 3.488865 3.470330 3.469068 #>  [70,] 3.509015 3.516993 3.534962 3.522264 3.537645 3.544526 3.505181 #>  [71,] 3.554149 3.534371 3.569309 3.579121 3.565091 3.533619 3.607779 #>  [72,] 3.513397 3.515119 3.497527 3.500893 3.509220 3.500741 3.483599 #>  [73,] 3.492957 3.487800 3.515289 3.500386 3.487112 3.542580 3.513061 #>  [74,] 3.535984 3.531182 3.543331 3.561751 3.556978 3.577525 3.533953 #>  [75,] 3.499591 3.488090 3.483900 3.493926 3.500501 3.531731 3.499708 #>  [76,] 3.396401 3.375157 3.406631 3.402845 3.432941 3.487822 3.540748 #>  [77,] 3.600023 3.620185 3.581089 3.578346 3.568079 3.571804 3.594126 #>  [78,] 3.551101 3.541187 3.542033 3.552960 3.553655 3.534751 3.534068 #>  [79,] 3.546061 3.538312 3.539328 3.518645 3.492269 3.497597 3.471863 #>  [80,] 3.531713 3.527833 3.513508 3.517726 3.513249 3.563071 3.475138 #>  [81,] 3.531367 3.530205 3.542648 3.525238 3.495363 3.525207 3.517780 #>  [82,] 3.474114 3.503793 3.512647 3.493299 3.485726 3.477402 3.437767 #>  [83,] 3.385961 3.407081 3.454082 3.452492 3.447172 3.448199 3.397078 #>  [84,] 3.486110 3.508970 3.548654 3.524254 3.521531 3.543952 3.545779 #>  [85,] 3.411092 3.428893 3.454040 3.465658 3.459026 3.466486 3.456636 #>  [86,] 3.604336 3.577133 3.557696 3.542845 3.538461 3.568805 3.632620 #>  [87,] 3.531275 3.516473 3.529812 3.506306 3.501487 3.521841 3.518759 #>  [88,] 3.513079 3.499215 3.551186 3.546389 3.545731 3.561184 3.566536 #>  [89,] 3.538608 3.544846 3.564917 3.525106 3.532875 3.558406 3.547311 #>  [90,] 3.599651 3.616330 3.558358 3.568562 3.552894 3.532971 3.514893 #>  [91,] 3.470882 3.482628 3.508899 3.520075 3.526829 3.571617 3.521389 #>  [92,] 3.545927 3.548086 3.535224 3.559724 3.580593 3.612495 3.586157 #>  [93,] 3.452810 3.452795 3.445646 3.451387 3.453661 3.475940 3.499907 #>  [94,] 3.425632 3.417743 3.455482 3.465863 3.461739 3.451724 3.546973 #>  [95,] 3.463940 3.484618 3.490187 3.484471 3.486134 3.513660 3.480674 #>  [96,] 3.469190 3.474024 3.526860 3.511217 3.509974 3.468255 3.456542 #>  [97,] 3.463207 3.465013 3.520461 3.526601 3.555582 3.562655 3.526191 #>  [98,] 3.500710 3.500088 3.473551 3.478605 3.479792 3.494792 3.528789 #>  [99,] 3.421468 3.421371 3.434253 3.445164 3.439634 3.424682 3.453375 #> [100,] 3.462148 3.449993 3.431413 3.435270 3.443673 3.455121 3.479393"},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_pMatrix_parallel.html","id":null,"dir":"Reference","previous_headings":"","what":"rcpp_pMatrix_parallel — rcpp_pMatrix_parallel","title":"rcpp_pMatrix_parallel — rcpp_pMatrix_parallel","text":"computes partial transcriptome evolutionary index (TEI) values single gene","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_pMatrix_parallel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"rcpp_pMatrix_parallel — rcpp_pMatrix_parallel","text":"","code":"rcpp_pMatrix_parallel(expression, ps, ncores = 1L)"},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_pMatrix_parallel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"rcpp_pMatrix_parallel — rcpp_pMatrix_parallel","text":"expression ExpressionSet sparseMatrix ps named Phylostratum ncores number cores","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_pMatrix_parallel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"rcpp_pMatrix_parallel — rcpp_pMatrix_parallel","text":"sparseMatrix","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_pMatrix_parallel.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"rcpp_pMatrix_parallel — rcpp_pMatrix_parallel","text":"Kristian K Ullrich","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_pMatrix_parallel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"rcpp_pMatrix_parallel — rcpp_pMatrix_parallel","text":"","code":"## load example PhyloExpressionSetExample  data(\"PhyloExpressionSetExample\", package=\"myTAI\")  ## convert into sparseMatrix - rownames GeneID  spmat <- as(data.matrix(PhyloExpressionSetExample[,-c(1,2)]),     \"sparseMatrix\") rownames(spmat) <- PhyloExpressionSetExample$GeneID  ## create named Phylostratum vector  ps <- setNames(PhyloExpressionSetExample$Phylostratum,     PhyloExpressionSetExample$GeneID)  ## get pMatrix rcpp_pMatrix_parallel(spmat, ps) #>                  [,1]         [,2]         [,3]         [,4]         [,5] #>     [1,] 3.597950e-05 3.203218e-05 2.013329e-05 2.311604e-05 1.813626e-05 #>     [2,] 2.484581e-05 3.045853e-05 2.909027e-05 2.800871e-05 2.713080e-05 #>     [3,] 2.007498e-05 2.066542e-05 1.640631e-05 1.663988e-05 1.566972e-05 #>     [4,] 1.683276e-05 1.569402e-05 2.063608e-05 2.379714e-05 2.525094e-05 #>     [5,] 1.891073e-04 2.812062e-04 6.003300e-04 7.119708e-04 1.019572e-03 #>     [6,] 1.397115e-05 1.320025e-05 1.501630e-05 1.667565e-05 1.709536e-05 #>     [7,] 1.660417e-05 1.836453e-05 2.323210e-05 1.907318e-05 1.825828e-05 #>     [8,] 1.369852e-05 1.281542e-05 1.220631e-05 1.280232e-05 1.262557e-05 #>     [9,] 1.496358e-05 1.344629e-05 1.337356e-05 1.424860e-05 1.304467e-05 #>    [10,] 4.826879e-05 7.639915e-05 5.152530e-05 5.229318e-05 3.845100e-05 #>    [11,] 1.458611e-05 1.389580e-05 1.562741e-05 1.676134e-05 1.534413e-05 #>    [12,] 1.588507e-05 1.502001e-05 1.734225e-05 1.819382e-05 1.594883e-05 #>    [13,] 3.783656e-05 3.061489e-05 3.634653e-05 3.690399e-05 3.392962e-05 #>    [14,] 1.139012e-05 1.189913e-05 1.126270e-05 1.245032e-05 1.151453e-05 #>    [15,] 1.369274e-05 1.258878e-05 1.395876e-05 1.427918e-05 1.343165e-05 #>    [16,] 1.966768e-05 1.770011e-05 1.712948e-05 1.719688e-05 1.664942e-05 #>    [17,] 1.415060e-05 1.282321e-05 1.173368e-05 1.411215e-05 1.288998e-05 #>    [18,] 1.350564e-05 1.350809e-05 1.619748e-05 1.633880e-05 1.485720e-05 #>    [19,] 2.102324e-05 1.938138e-05 2.469848e-05 2.718520e-05 2.484050e-05 #>    [20,] 2.796012e-05 3.032612e-05 3.080500e-05 3.580900e-05 3.487872e-05 #>    [21,] 1.296994e-05 1.307181e-05 1.663458e-05 1.761081e-05 1.833845e-05 #>    [22,] 1.449838e-05 1.523341e-05 1.557663e-05 1.617208e-05 1.597394e-05 #>    [23,] 7.119942e-05 6.377730e-05 7.451404e-05 4.925908e-05 2.807760e-05 #>    [24,] 9.732800e-05 8.341884e-05 2.028664e-04 1.305819e-04 3.134899e-04 #>    [25,] 3.408002e-05 2.103683e-05 2.619018e-05 2.155961e-05 2.151050e-05 #>    [26,] 1.289659e-05 1.364596e-05 1.170191e-05 1.211748e-05 1.304534e-05 #>    [27,] 1.609447e-05 1.516704e-05 1.425589e-05 1.512501e-05 1.379085e-05 #>    [28,] 1.631345e-05 1.445452e-05 1.420253e-05 1.544579e-05 1.421883e-05 #>    [29,] 7.041607e-05 5.146503e-05 6.227453e-05 5.142715e-05 3.457990e-05 #>    [30,] 1.817474e-05 1.852632e-05 2.005778e-05 1.998612e-05 1.835539e-05 #>    [31,] 1.311436e-05 1.293514e-05 1.319553e-05 1.362225e-05 1.181462e-05 #>    [32,] 6.785353e-05 5.470172e-05 3.413590e-05 4.166400e-05 4.435343e-05 #>    [33,] 1.890867e-05 1.984338e-05 1.862857e-05 1.969689e-05 1.870686e-05 #>    [34,] 1.981464e-05 2.318984e-05 3.057201e-05 3.140794e-05 3.607055e-05 #>    [35,] 1.468108e-05 1.496751e-05 1.564473e-05 1.621993e-05 1.608712e-05 #>    [36,] 1.718181e-05 1.813790e-05 2.042235e-05 1.983182e-05 1.883193e-05 #>    [37,] 1.099783e-04 1.019193e-04 8.962053e-05 9.678061e-05 1.072080e-04 #>    [38,] 1.945610e-05 2.270550e-05 2.922147e-05 2.900756e-05 2.675916e-05 #>    [39,] 1.430767e-05 1.578984e-05 1.692966e-05 1.675994e-05 1.640556e-05 #>    [40,] 1.671158e-05 1.519593e-05 1.667148e-05 1.808895e-05 1.437435e-05 #>    [41,] 1.752557e-05 2.123721e-05 2.019054e-05 2.301319e-05 2.257604e-05 #>    [42,] 1.294666e-05 1.345934e-05 1.383701e-05 1.446625e-05 1.410651e-05 #>    [43,] 2.919041e-05 2.573979e-05 3.108139e-05 2.997035e-05 2.360793e-05 #>    [44,] 1.155194e-05 1.068007e-05 1.118147e-05 1.204469e-05 1.096318e-05 #>    [45,] 1.682596e-05 1.923020e-05 3.799499e-05 3.647009e-05 3.683849e-05 #>    [46,] 1.348822e-05 1.232280e-05 1.447203e-05 1.455867e-05 1.431721e-05 #>    [47,] 1.869382e-05 1.936039e-05 1.382740e-05 1.315114e-05 1.247046e-05 #>    [48,] 1.451923e-05 1.248451e-05 1.244144e-05 1.291275e-05 1.174357e-05 #>    [49,] 1.465010e-05 1.408208e-05 1.573403e-05 1.815129e-05 2.063509e-05 #>    [50,] 1.353535e-05 1.455375e-05 1.529845e-05 1.644488e-05 1.607186e-05 #>    [51,] 2.449770e-04 3.286654e-04 1.152901e-04 9.907651e-05 8.676549e-05 #>    [52,] 1.668025e-05 1.232788e-05 1.152567e-05 1.462714e-05 1.171589e-05 #>    [53,] 1.434711e-05 1.601997e-05 2.083605e-05 1.740191e-05 1.557576e-05 #>    [54,] 1.298618e-05 1.317545e-05 1.476464e-05 1.509702e-05 1.530824e-05 #>    [55,] 4.770734e-05 3.984948e-05 6.505159e-05 5.457188e-05 4.350607e-05 #>    [56,] 1.435428e-05 1.380559e-05 1.231599e-05 1.232837e-05 1.278032e-05 #>    [57,] 4.535040e-05 4.523088e-05 3.051701e-05 4.796461e-05 6.291210e-05 #>    [58,] 1.394580e-05 1.402506e-05 1.544856e-05 1.400217e-05 1.425310e-05 #>    [59,] 1.947732e-05 2.258542e-05 2.339118e-05 1.935621e-05 1.943742e-05 #>    [60,] 1.774213e-05 1.932682e-05 1.607923e-05 1.453765e-05 1.409609e-05 #>    [61,] 1.619477e-05 1.576783e-05 2.412448e-05 2.566917e-05 2.325403e-05 #>    [62,] 1.822395e-05 1.783299e-05 1.906641e-05 1.998634e-05 1.717370e-05 #>    [63,] 1.641335e-04 1.670279e-04 3.424291e-04 3.983768e-04 4.952547e-04 #>    [64,] 3.147818e-05 2.300524e-05 2.087630e-05 2.042253e-05 1.930671e-05 #>    [65,] 2.144379e-05 2.554545e-05 2.935284e-05 2.380151e-05 2.139676e-05 #>    [66,] 1.449107e-05 1.411017e-05 1.695108e-05 1.814314e-05 1.803347e-05 #>    [67,] 1.016450e-05 9.710813e-06 1.022658e-05 1.108737e-05 1.048483e-05 #>    [68,] 1.598869e-05 1.573054e-05 1.851198e-05 2.092847e-05 2.317548e-05 #>    [69,] 2.510066e-04 2.268793e-04 2.270064e-04 2.345234e-04 2.040040e-04 #>    [70,] 8.901366e-04 9.375436e-04 1.210155e-03 1.112609e-03 1.077613e-03 #>    [71,] 1.610507e-05 1.634601e-05 2.038918e-05 2.189896e-05 1.774409e-05 #>    [72,] 2.206515e-05 1.899290e-05 6.631894e-05 6.381022e-05 5.999080e-05 #>    [73,] 2.072801e-05 2.120148e-05 5.666275e-05 4.790830e-05 4.385528e-05 #>    [74,] 1.909281e-05 1.709615e-05 3.326242e-05 3.964094e-05 3.357755e-05 #>    [75,] 1.997307e-05 2.181316e-05 2.238603e-05 2.500750e-05 2.477038e-05 #>    [76,] 2.006336e-05 1.980047e-05 2.016272e-05 2.237153e-05 2.156364e-05 #>    [77,] 2.098962e-05 1.711610e-05 2.561385e-05 2.574981e-05 2.207025e-05 #>    [78,] 1.520912e-05 1.381382e-05 1.385577e-05 1.505906e-05 1.491167e-05 #>    [79,] 3.466995e-05 2.968937e-05 6.845252e-05 5.023000e-05 1.618387e-05 #>    [80,] 1.347774e-05 1.300076e-05 1.630023e-05 1.889910e-05 1.651667e-05 #>    [81,] 1.471895e-05 1.633508e-05 1.992392e-05 1.800616e-05 1.678314e-05 #>    [82,] 1.425630e-05 1.314478e-05 1.386977e-05 1.497204e-05 1.481728e-05 #>    [83,] 1.309694e-05 1.159187e-05 1.197089e-05 1.229267e-05 1.164157e-05 #>    [84,] 2.056218e-05 1.521930e-05 1.828214e-05 2.075569e-05 2.493791e-05 #>    [85,] 1.609504e-05 1.815675e-05 2.408877e-05 1.984224e-05 1.894836e-05 #>    [86,] 1.404982e-05 1.243858e-05 1.218443e-05 1.407641e-05 1.184302e-05 #>    [87,] 1.274853e-05 1.154517e-05 1.271000e-05 1.387557e-05 1.322334e-05 #>    [88,] 1.929818e-05 1.718191e-05 1.980200e-05 2.136529e-05 2.175895e-05 #>    [89,] 1.490985e-05 1.438535e-05 1.570234e-05 2.126095e-05 2.446274e-05 #>    [90,] 3.132812e-05 2.733313e-05 4.335656e-05 5.127309e-05 1.120960e-04 #>    [91,] 1.276263e-05 1.348262e-05 1.342298e-05 1.281933e-05 1.295977e-05 #>    [92,] 1.070544e-04 6.793067e-05 2.931042e-05 4.875223e-05 5.401855e-05 #>    [93,] 2.128682e-05 2.173179e-05 2.076402e-05 2.095726e-05 2.189773e-05 #>    [94,] 1.054329e-05 9.947349e-06 1.080062e-05 1.059566e-05 1.125111e-05 #>    [95,] 1.832861e-05 1.842682e-05 2.556365e-05 1.871979e-05 1.836686e-05 #>    [96,] 1.925806e-05 1.383387e-05 1.444820e-05 1.859142e-05 1.751615e-05 #>    [97,] 2.462237e-05 2.627799e-05 2.974725e-05 3.438829e-05 3.197016e-05 #>    [98,] 1.603216e-05 1.530459e-05 1.716530e-05 1.759162e-05 1.783950e-05 #>    [99,] 5.766629e-05 9.872813e-05 8.160615e-05 6.228716e-05 9.449735e-05 #>   [100,] 1.717597e-05 1.350490e-05 1.364555e-05 1.671692e-05 1.524483e-05 #>   [101,] 5.146862e-05 5.008748e-05 3.477783e-05 3.941379e-05 4.282428e-05 #>   [102,] 1.560479e-05 1.445627e-05 1.574816e-05 1.651723e-05 1.679532e-05 #>   [103,] 2.041741e-05 1.932727e-05 3.304519e-05 3.058753e-05 3.312728e-05 #>   [104,] 1.163878e-05 1.082055e-05 1.248177e-05 1.317984e-05 1.231665e-05 #>   [105,] 1.371206e-05 1.324487e-05 1.478885e-05 1.677860e-05 1.627176e-05 #>   [106,] 2.111217e-05 2.691481e-05 4.071273e-05 4.169852e-05 7.971266e-05 #>   [107,] 1.848874e-05 1.447184e-05 1.681288e-05 2.220420e-05 1.964935e-05 #>   [108,] 2.467899e-05 2.738221e-05 3.101688e-05 2.433763e-05 2.835886e-05 #>   [109,] 1.435778e-05 1.389223e-05 1.349292e-05 1.405289e-05 1.313511e-05 #>   [110,] 1.625168e-05 1.725089e-05 2.245884e-05 2.525583e-05 2.848467e-05 #>   [111,] 1.189569e-05 1.276525e-05 1.452606e-05 1.350723e-05 1.817709e-05 #>   [112,] 1.684412e-05 1.666825e-05 1.658313e-05 1.718604e-05 1.490464e-05 #>   [113,] 1.385644e-05 1.366695e-05 1.436122e-05 1.623466e-05 1.637195e-05 #>   [114,] 1.706344e-05 2.309084e-05 4.257008e-05 4.129490e-05 6.517227e-05 #>   [115,] 1.799758e-05 1.913058e-05 2.160707e-05 2.062927e-05 1.977334e-05 #>   [116,] 1.247132e-05 1.170650e-05 1.245741e-05 1.311061e-05 1.245509e-05 #>   [117,] 1.442815e-05 1.493521e-05 1.411736e-05 1.535665e-05 1.614397e-05 #>   [118,] 1.122797e-04 9.826587e-05 1.523026e-04 1.359973e-04 1.071013e-04 #>   [119,] 4.063031e-05 3.839166e-05 1.275312e-05 1.400025e-05 1.261756e-05 #>   [120,] 1.502310e-05 1.517364e-05 1.704390e-05 1.864148e-05 1.787197e-05 #>   [121,] 1.516776e-05 1.467697e-05 1.515801e-05 1.701119e-05 1.661216e-05 #>   [122,] 1.997687e-05 2.197474e-05 2.784885e-05 2.398067e-05 1.896306e-05 #>   [123,] 1.538989e-05 1.499136e-05 1.507658e-05 1.664434e-05 1.653703e-05 #>   [124,] 1.591817e-05 1.416787e-05 1.664859e-05 1.736117e-05 1.501905e-05 #>   [125,] 1.405029e-05 1.155104e-05 1.205577e-05 1.485812e-05 1.277194e-05 #>   [126,] 1.435588e-05 1.298071e-05 1.490464e-05 1.745075e-05 1.626285e-05 #>   [127,] 2.129906e-05 1.895954e-05 1.925490e-05 2.182586e-05 2.146106e-05 #>   [128,] 3.331190e-05 3.601920e-05 6.949216e-05 4.707126e-05 3.021605e-05 #>   [129,] 1.574441e-05 1.522337e-05 1.355860e-05 1.464053e-05 1.448804e-05 #>   [130,] 2.532885e-05 2.856306e-05 4.923694e-05 4.571547e-05 3.993422e-05 #>   [131,] 1.166504e-04 1.074489e-04 6.246829e-05 6.190975e-05 4.129099e-05 #>   [132,] 9.292066e-04 9.280353e-04 1.078913e-03 1.049400e-03 9.730393e-04 #>   [133,] 5.759725e-05 5.233064e-05 4.260752e-05 4.745270e-05 4.853011e-05 #>   [134,] 1.742253e-05 1.613564e-05 1.999860e-05 1.808492e-05 1.926125e-05 #>   [135,] 4.013997e-05 3.137535e-05 2.620182e-05 3.455725e-05 3.656275e-05 #>   [136,] 4.003339e-05 3.076909e-05 2.273638e-05 2.753852e-05 2.433033e-05 #>   [137,] 2.396864e-05 2.415029e-05 2.001373e-05 2.035469e-05 1.800863e-05 #>   [138,] 1.486171e-05 1.478716e-05 1.918295e-05 1.984581e-05 1.786899e-05 #>   [139,] 2.354529e-05 3.621545e-05 1.309534e-04 1.187947e-04 1.113538e-04 #>   [140,] 1.344939e-05 1.251598e-05 1.252507e-05 1.384472e-05 1.453599e-05 #>   [141,] 6.982694e-04 9.138572e-04 8.880304e-04 7.522246e-04 8.356155e-04 #>   [142,] 1.980094e-05 1.868962e-05 3.947116e-05 4.857904e-05 5.605599e-05 #>   [143,] 1.682801e-05 1.664950e-05 1.826550e-05 1.582138e-05 1.697037e-05 #>   [144,] 1.415272e-05 1.204047e-05 1.178170e-05 1.326860e-05 1.170139e-05 #>   [145,] 2.002472e-05 1.994846e-05 1.886472e-05 1.789602e-05 1.705212e-05 #>   [146,] 1.568582e-05 1.215257e-05 1.135747e-05 1.459007e-05 1.198375e-05 #>   [147,] 1.567413e-05 1.851551e-05 2.633232e-05 2.213260e-05 1.925487e-05 #>   [148,] 1.741180e-05 2.092978e-05 1.449809e-05 1.387699e-05 1.581524e-05 #>   [149,] 2.234372e-05 2.414899e-05 1.971110e-05 2.355251e-05 3.386610e-05 #>   [150,] 1.618780e-05 1.630793e-05 1.679444e-05 2.202420e-05 2.704701e-05 #>   [151,] 1.579139e-05 1.588286e-05 1.709614e-05 1.978702e-05 2.255090e-05 #>   [152,] 1.530231e-04 8.256002e-05 5.291360e-05 5.838120e-05 6.157827e-05 #>   [153,] 1.940049e-05 1.495678e-05 2.027866e-05 2.081088e-05 1.545586e-05 #>   [154,] 1.556386e-05 1.517552e-05 1.895615e-05 1.910384e-05 1.708204e-05 #>   [155,] 1.469514e-05 1.467803e-05 1.747420e-05 1.902789e-05 1.720296e-05 #>   [156,] 1.533450e-05 1.528926e-05 1.525405e-05 1.574707e-05 1.560027e-05 #>   [157,] 2.776213e-05 3.740144e-05 2.686981e-05 2.244025e-05 2.364455e-05 #>   [158,] 1.369442e-05 1.178187e-05 1.264770e-05 1.358681e-05 1.479638e-05 #>   [159,] 1.543512e-05 1.404561e-05 1.643917e-05 1.713152e-05 1.673420e-05 #>   [160,] 2.525793e-05 2.167577e-05 4.319898e-05 3.928181e-05 2.919092e-05 #>   [161,] 1.601764e-05 1.655987e-05 1.408725e-05 1.408930e-05 1.522083e-05 #>   [162,] 1.459257e-05 1.457927e-05 1.479563e-05 1.548667e-05 1.443554e-05 #>   [163,] 2.930636e-05 2.424111e-05 2.713771e-05 3.084742e-05 3.846978e-05 #>   [164,] 5.187026e-05 4.767282e-05 4.604567e-05 7.554125e-05 9.780645e-05 #>   [165,] 1.481616e-05 1.423478e-05 1.679975e-05 1.949205e-05 2.274446e-05 #>   [166,] 1.572856e-05 1.335146e-05 1.581721e-05 1.651879e-05 1.643138e-05 #>   [167,] 2.534397e-05 1.925910e-05 1.963442e-05 2.210601e-05 2.192120e-05 #>   [168,] 3.285986e-05 3.453458e-05 4.280316e-05 4.499981e-05 3.675469e-05 #>   [169,] 1.737939e-05 1.853935e-05 4.652635e-05 4.899621e-05 4.587068e-05 #>   [170,] 1.243727e-05 1.426395e-05 1.477344e-05 1.505312e-05 1.507920e-05 #>   [171,] 1.421671e-05 1.430521e-05 1.640861e-05 1.641182e-05 1.505015e-05 #>   [172,] 1.467016e-05 1.337960e-05 1.295413e-05 1.542295e-05 1.241745e-05 #>   [173,] 2.355942e-05 2.322456e-05 2.000185e-05 2.076246e-05 2.132327e-05 #>   [174,] 1.173266e-05 1.441125e-05 1.464548e-05 1.478395e-05 1.619164e-05 #>   [175,] 1.435033e-05 1.464981e-05 1.340010e-05 1.475906e-05 1.624612e-05 #>   [176,] 2.962574e-05 1.535700e-05 2.317099e-05 1.655491e-05 1.797456e-05 #>   [177,] 1.156930e-05 1.097439e-05 1.087729e-05 1.245593e-05 1.170086e-05 #>   [178,] 1.966890e-05 1.597605e-05 1.575022e-05 1.531182e-05 1.740757e-05 #>   [179,] 2.738056e-05 3.627215e-05 2.949932e-05 2.955500e-05 2.908282e-05 #>   [180,] 1.812623e-05 1.825542e-05 2.105770e-05 2.755997e-05 2.045741e-05 #>   [181,] 1.508721e-05 1.697496e-05 1.638642e-05 1.742891e-05 1.727421e-05 #>   [182,] 1.822211e-05 2.334745e-05 1.628369e-05 1.388785e-05 1.963960e-05 #>   [183,] 1.434431e-05 1.304692e-05 1.550890e-05 1.747901e-05 1.435323e-05 #>   [184,] 1.550713e-05 1.554765e-05 1.829222e-05 1.805941e-05 1.645944e-05 #>   [185,] 1.698280e-05 1.838537e-05 2.076037e-05 2.064361e-05 1.959755e-05 #>   [186,] 1.577024e-05 2.156728e-05 2.781360e-05 1.848135e-05 1.953695e-05 #>   [187,] 1.362953e-05 1.081466e-05 1.122541e-05 1.387404e-05 1.172868e-05 #>   [188,] 1.362513e-05 1.357066e-05 1.630660e-05 1.552993e-05 1.639459e-05 #>   [189,] 1.435627e-05 1.993138e-05 2.568255e-05 1.857493e-05 1.790083e-05 #>   [190,] 1.852772e-05 2.287747e-05 1.488871e-05 1.522842e-05 1.436750e-05 #>   [191,] 1.703803e-05 1.605276e-05 2.371997e-05 2.398690e-05 2.273616e-05 #>   [192,] 3.974491e-05 5.224567e-05 1.332344e-04 8.798514e-05 7.807400e-05 #>   [193,] 1.450326e-05 1.457166e-05 1.635420e-05 1.516864e-05 1.477158e-05 #>   [194,] 1.439766e-05 1.280005e-05 1.376978e-05 1.544385e-05 1.622247e-05 #>   [195,] 2.269102e-05 1.882839e-05 2.993896e-05 2.529531e-05 2.723415e-05 #>   [196,] 1.820117e-05 1.723206e-05 1.938185e-05 2.266369e-05 1.915818e-05 #>   [197,] 1.383629e-05 1.121074e-05 1.296879e-05 1.521448e-05 1.309252e-05 #>   [198,] 1.505279e-05 1.440048e-05 1.491657e-05 1.655425e-05 1.509097e-05 #>   [199,] 2.300353e-05 2.871112e-05 2.887547e-05 3.020834e-05 3.443502e-05 #>   [200,] 1.880604e-05 1.726997e-05 1.840575e-05 1.954879e-05 1.956306e-05 #>   [201,] 5.810126e-05 4.574083e-05 3.922922e-05 4.849745e-05 4.140115e-05 #>   [202,] 2.182303e-05 1.927914e-05 2.014706e-05 1.839748e-05 1.916367e-05 #>   [203,] 1.759286e-05 1.850008e-05 1.612238e-05 1.748878e-05 1.659655e-05 #>   [204,] 2.040312e-05 1.731081e-05 1.916649e-05 1.981027e-05 2.002331e-05 #>   [205,] 1.247222e-05 1.248690e-05 1.461453e-05 1.548890e-05 1.570427e-05 #>   [206,] 2.594816e-05 2.896159e-05 2.380487e-05 2.415876e-05 2.459143e-05 #>   [207,] 1.529846e-05 1.503289e-05 1.502399e-05 1.629826e-05 1.720129e-05 #>   [208,] 1.700905e-05 1.814368e-05 2.209669e-05 2.058498e-05 1.864278e-05 #>   [209,] 1.385966e-05 1.326720e-05 1.254681e-05 1.353913e-05 1.319081e-05 #>   [210,] 1.541769e-05 1.419387e-05 1.337526e-05 1.658088e-05 1.510584e-05 #>   [211,] 1.663790e-05 1.617168e-05 2.176301e-05 1.775909e-05 1.680506e-05 #>   [212,] 1.448804e-05 1.120982e-05 1.169840e-05 1.111094e-05 1.152915e-05 #>   [213,] 3.426879e-05 2.433955e-05 3.025847e-05 3.039411e-05 2.469238e-05 #>   [214,] 2.314998e-05 2.349275e-05 4.028632e-05 2.912493e-05 2.280425e-05 #>   [215,] 1.487337e-05 1.579423e-05 1.610824e-05 1.838435e-05 2.183875e-05 #>   [216,] 1.779929e-05 1.554261e-05 1.668252e-05 1.670215e-05 1.555584e-05 #>   [217,] 1.675803e-05 1.540103e-05 2.184835e-05 2.338166e-05 1.991747e-05 #>   [218,] 2.055231e-05 1.967934e-05 2.730741e-05 3.745798e-05 4.140910e-05 #>   [219,] 8.747591e-05 6.972370e-05 4.156144e-05 6.151816e-05 6.545595e-05 #>   [220,] 3.688015e-05 3.583926e-05 2.925384e-05 2.485379e-05 2.743145e-05 #>   [221,] 1.287391e-05 1.125158e-05 1.335299e-05 1.312720e-05 1.355111e-05 #>   [222,] 2.431963e-05 2.037210e-05 2.479516e-05 2.168215e-05 2.178753e-05 #>   [223,] 1.494917e-05 1.283583e-05 1.368049e-05 1.371387e-05 1.271280e-05 #>   [224,] 1.576491e-05 1.503913e-05 2.080101e-05 1.922436e-05 1.878073e-05 #>   [225,] 1.125530e-04 1.011542e-04 1.696202e-04 2.168959e-04 3.418498e-04 #>   [226,] 1.906759e-05 1.775013e-05 3.401148e-05 2.509274e-05 2.410454e-05 #>   [227,] 1.350673e-05 1.327422e-05 1.339083e-05 1.425075e-05 1.464184e-05 #>   [228,] 1.766886e-05 1.500979e-05 1.653944e-05 1.897975e-05 1.721956e-05 #>   [229,] 6.902917e-05 6.266215e-05 3.703445e-05 4.482136e-05 4.322716e-05 #>   [230,] 4.339784e-05 4.454492e-05 4.768428e-05 4.928038e-05 4.328023e-05 #>   [231,] 1.935741e-05 1.792829e-05 1.805003e-05 2.123428e-05 1.966455e-05 #>   [232,] 1.418628e-05 1.240653e-05 1.441107e-05 1.481378e-05 1.327383e-05 #>   [233,] 1.629566e-05 1.589581e-05 1.797070e-05 2.002205e-05 1.828003e-05 #>   [234,] 1.570474e-05 1.715229e-05 1.589480e-05 1.560985e-05 1.575007e-05 #>   [235,] 3.600927e-05 2.630422e-05 2.632407e-05 3.525981e-05 2.790233e-05 #>   [236,] 1.604486e-05 1.443841e-05 1.764564e-05 1.711757e-05 1.633061e-05 #>   [237,] 1.681664e-05 1.574991e-05 1.517543e-05 1.708524e-05 1.992937e-05 #>   [238,] 3.107797e-05 3.966846e-05 4.703423e-05 5.360572e-05 4.918741e-05 #>   [239,] 2.019964e-05 2.476238e-05 3.206960e-05 3.214932e-05 3.210839e-05 #>   [240,] 1.689510e-05 1.835822e-05 2.324449e-05 1.855254e-05 1.851549e-05 #>   [241,] 1.788989e-05 1.743503e-05 1.960221e-05 1.870622e-05 1.758641e-05 #>   [242,] 1.243403e-05 1.303379e-05 1.269062e-05 1.325356e-05 1.330991e-05 #>   [243,] 2.633950e-05 2.604776e-05 1.834327e-05 2.314573e-05 2.187370e-05 #>   [244,] 1.988996e-05 2.051878e-05 4.663217e-05 4.203336e-05 4.100748e-05 #>   [245,] 1.525133e-05 1.264677e-05 1.399551e-05 1.563256e-05 1.408967e-05 #>   [246,] 1.407075e-05 1.217612e-05 1.311305e-05 1.543083e-05 1.247280e-05 #>   [247,] 1.438691e-05 1.493935e-05 1.474688e-05 1.508736e-05 1.430010e-05 #>   [248,] 1.549283e-05 1.707989e-05 1.594952e-05 1.744299e-05 1.646443e-05 #>   [249,] 1.526043e-05 1.486994e-05 1.707901e-05 1.780481e-05 1.623339e-05 #>   [250,] 2.127474e-04 2.230698e-04 3.407548e-04 4.655198e-04 4.842396e-04 #>   [251,] 7.605327e-05 5.101529e-05 9.200301e-05 1.616219e-04 1.793050e-04 #>   [252,] 1.394454e-05 1.374166e-05 1.298478e-05 1.400620e-05 1.338129e-05 #>   [253,] 1.516842e-05 1.428785e-05 1.604640e-05 1.738989e-05 1.842904e-05 #>   [254,] 2.683473e-04 3.842948e-04 5.286252e-04 4.028621e-04 3.775715e-04 #>   [255,] 1.355842e-05 1.422830e-05 1.781412e-05 1.783822e-05 1.994199e-05 #>   [256,] 1.351395e-05 1.242245e-05 1.315403e-05 1.489885e-05 1.460420e-05 #>   [257,] 1.878176e-05 1.605877e-05 1.734486e-05 1.941613e-05 2.023733e-05 #>   [258,] 3.205972e-05 2.741229e-05 2.063692e-05 2.090548e-05 1.879994e-05 #>   [259,] 3.948152e-05 5.667789e-05 3.245508e-05 3.833698e-05 4.391181e-05 #>   [260,] 1.884680e-05 1.722882e-05 1.556447e-05 1.553196e-05 1.455395e-05 #>   [261,] 1.765819e-05 1.600834e-05 1.962173e-05 2.423981e-05 2.728735e-05 #>   [262,] 2.435941e-05 2.184742e-05 2.011113e-05 2.174945e-05 2.247532e-05 #>   [263,] 1.807279e-05 1.913697e-05 2.426907e-05 2.048970e-05 2.061722e-05 #>   [264,] 1.920022e-05 1.692579e-05 2.002561e-05 2.264740e-05 2.316106e-05 #>   [265,] 1.441955e-05 1.412227e-05 1.506217e-05 1.696223e-05 1.714057e-05 #>   [266,] 1.963120e-05 1.648559e-05 1.772933e-05 1.801394e-05 1.710836e-05 #>   [267,] 4.627427e-05 1.486839e-05 1.448772e-05 1.487675e-05 1.549166e-05 #>   [268,] 3.078005e-04 2.352663e-04 1.966268e-04 1.934099e-04 1.203879e-04 #>   [269,] 1.518045e-05 1.444879e-05 1.544473e-05 1.664363e-05 1.629765e-05 #>   [270,] 1.475221e-05 1.436606e-05 1.714183e-05 1.764360e-05 1.724097e-05 #>   [271,] 1.926404e-05 2.552176e-05 1.846120e-05 1.851052e-05 1.838209e-05 #>   [272,] 1.788139e-05 2.236419e-05 1.621769e-05 1.576753e-05 1.806343e-05 #>   [273,] 3.866875e-04 3.881019e-04 3.554036e-04 3.769111e-04 3.693017e-04 #>   [274,] 6.262640e-05 4.999075e-05 8.465909e-05 1.006870e-04 9.882768e-05 #>   [275,] 2.922966e-05 2.766014e-05 4.576569e-05 4.010208e-05 3.553212e-05 #>   [276,] 1.281894e-05 1.399687e-05 1.968182e-05 1.899120e-05 1.829985e-05 #>   [277,] 4.318661e-05 5.782423e-05 1.146045e-04 1.990922e-04 5.234511e-05 #>   [278,] 7.719393e-05 8.662204e-05 1.105212e-04 1.263635e-04 6.108058e-05 #>   [279,] 1.910042e-05 2.152294e-05 1.822341e-05 1.885339e-05 1.873280e-05 #>   [280,] 2.231332e-05 2.297204e-05 3.014617e-05 2.854291e-05 2.417306e-05 #>   [281,] 3.023456e-05 2.455256e-05 2.152159e-05 1.937234e-05 1.898900e-05 #>   [282,] 9.535460e-05 4.830194e-05 2.915588e-05 2.845840e-05 3.426777e-05 #>   [283,] 1.572811e-05 1.698532e-05 2.262089e-05 1.724100e-05 1.684548e-05 #>   [284,] 1.400238e-05 1.428686e-05 1.281216e-05 1.283246e-05 1.289186e-05 #>   [285,] 1.766438e-05 1.299526e-05 1.397384e-05 1.905791e-05 1.698424e-05 #>   [286,] 1.569259e-05 1.601016e-05 1.623699e-05 1.874033e-05 1.911624e-05 #>   [287,] 1.373701e-05 1.419279e-05 1.565563e-05 1.473703e-05 1.565953e-05 #>   [288,] 1.741129e-05 1.857380e-05 2.499791e-05 1.987506e-05 1.848679e-05 #>   [289,] 1.741656e-05 1.773714e-05 1.601203e-05 1.630860e-05 1.540619e-05 #>   [290,] 2.140945e-05 2.005761e-05 3.614788e-05 3.616837e-05 3.354295e-05 #>   [291,] 1.234819e-04 1.057333e-04 2.651423e-04 1.916100e-04 9.025435e-05 #>   [292,] 1.441024e-05 1.368032e-05 1.275484e-05 1.381913e-05 1.306312e-05 #>   [293,] 1.367602e-05 1.371400e-05 1.365125e-05 1.352070e-05 1.247648e-05 #>   [294,] 1.595416e-05 1.809663e-05 1.730184e-05 1.593433e-05 1.606463e-05 #>   [295,] 1.630957e-05 1.892071e-05 1.918665e-05 1.808119e-05 1.620446e-05 #>   [296,] 2.031489e-05 2.315593e-05 2.310142e-05 2.269962e-05 3.076146e-05 #>   [297,] 1.702267e-05 1.804197e-05 2.123098e-05 2.620377e-05 2.715891e-05 #>   [298,] 1.614515e-05 1.842865e-05 2.199329e-05 1.777382e-05 1.950351e-05 #>   [299,] 1.077462e-05 1.057626e-05 1.148088e-05 1.176514e-05 1.119891e-05 #>   [300,] 1.334893e-05 1.409105e-05 1.416713e-05 1.579976e-05 1.463744e-05 #>   [301,] 1.143460e-03 1.023666e-03 1.051517e-03 1.186281e-03 1.003647e-03 #>   [302,] 1.173375e-05 1.128293e-05 1.045864e-05 1.209023e-05 1.078676e-05 #>   [303,] 1.567261e-05 1.588563e-05 1.529563e-05 1.639249e-05 1.699049e-05 #>   [304,] 1.865064e-05 1.980871e-05 1.822215e-05 1.660664e-05 1.528532e-05 #>   [305,] 1.432513e-05 1.288474e-05 1.469749e-05 1.597674e-05 1.596258e-05 #>   [306,] 1.445463e-05 1.541081e-05 1.645756e-05 1.528909e-05 1.540639e-05 #>   [307,] 1.068195e-04 6.745363e-05 8.263319e-05 7.048493e-05 7.926609e-05 #>   [308,] 2.420507e-04 2.011374e-04 1.525542e-04 1.444131e-04 1.299717e-04 #>   [309,] 1.909904e-05 1.936366e-05 2.262921e-05 2.096108e-05 2.058225e-05 #>   [310,] 2.218029e-05 1.658324e-05 2.183501e-05 2.185429e-05 2.451496e-05 #>   [311,] 8.780323e-04 3.077155e-04 3.324493e-04 3.443344e-04 2.367837e-04 #>   [312,] 1.601515e-05 1.460328e-05 1.767992e-05 1.771923e-05 1.502721e-05 #>   [313,] 1.509491e-05 1.448239e-05 1.813148e-05 1.922584e-05 1.761035e-05 #>   [314,] 4.603427e-05 5.929532e-05 1.237518e-04 1.194223e-04 1.158180e-04 #>   [315,] 1.435547e-05 1.541886e-05 1.680399e-05 1.652473e-05 1.511217e-05 #>   [316,] 1.881890e-05 1.864009e-05 3.504195e-05 3.193470e-05 2.399080e-05 #>   [317,] 2.551530e-05 2.822945e-05 3.543726e-05 3.911013e-05 3.709253e-05 #>   [318,] 1.336831e-05 1.212423e-05 1.378484e-05 1.578648e-05 1.580771e-05 #>   [319,] 3.576534e-05 3.911547e-05 3.382071e-05 3.522920e-05 3.417778e-05 #>   [320,] 2.354286e-05 2.790413e-05 3.435882e-05 3.299813e-05 2.801979e-05 #>   [321,] 1.960499e-05 2.163212e-05 2.032011e-05 2.202585e-05 1.898948e-05 #>   [322,] 1.572509e-05 1.600534e-05 1.611217e-05 1.508981e-05 1.707157e-05 #>   [323,] 1.366550e-05 1.470536e-05 1.487444e-05 1.484296e-05 1.418893e-05 #>   [324,] 4.094301e-05 4.592680e-05 5.903193e-05 6.891959e-05 5.773137e-05 #>   [325,] 1.670631e-05 1.748549e-05 2.607678e-05 1.893605e-05 1.840616e-05 #>   [326,] 1.166688e-05 1.169244e-05 1.171175e-05 1.147287e-05 1.107723e-05 #>   [327,] 1.393308e-05 1.308757e-05 1.731572e-05 1.755447e-05 1.782182e-05 #>   [328,] 1.235998e-05 1.198688e-05 1.334036e-05 1.442278e-05 1.492743e-05 #>   [329,] 3.999632e-05 4.121197e-05 6.895106e-05 6.784082e-05 6.997124e-05 #>   [330,] 3.195533e-05 2.354801e-05 4.269979e-05 3.532201e-05 3.218682e-05 #>   [331,] 5.875875e-05 1.017336e-04 1.022400e-04 5.235551e-05 5.896979e-05 #>   [332,] 1.476544e-05 1.579773e-05 2.050841e-05 1.958026e-05 1.826958e-05 #>   [333,] 1.830264e-05 2.105963e-05 2.784686e-05 3.475159e-05 1.270575e-04 #>   [334,] 1.380700e-05 1.320558e-05 1.316098e-05 1.445652e-05 1.483788e-05 #>   [335,] 1.620930e-05 1.439099e-05 1.731203e-05 1.910281e-05 1.840101e-05 #>   [336,] 1.663894e-05 3.623517e-05 2.108618e-05 1.749604e-05 2.160317e-05 #>   [337,] 7.878185e-05 3.533529e-05 2.933039e-05 3.389578e-05 4.068510e-05 #>   [338,] 1.531381e-05 1.557949e-05 2.126052e-05 1.654291e-05 1.759669e-05 #>   [339,] 1.296063e-05 1.310635e-05 1.441695e-05 1.545195e-05 1.482308e-05 #>   [340,] 1.918407e-05 2.491612e-05 3.844497e-05 3.812711e-05 2.948478e-05 #>   [341,] 1.434291e-05 1.515900e-05 1.639149e-05 1.888713e-05 1.778913e-05 #>   [342,] 1.374105e-05 1.657125e-05 2.221086e-05 1.681548e-05 1.715390e-05 #>   [343,] 1.609767e-05 1.846793e-05 1.921864e-05 1.659359e-05 1.742952e-05 #>   [344,] 1.510897e-05 1.399377e-05 1.603716e-05 1.747034e-05 2.047210e-05 #>   [345,] 1.408544e-05 1.414225e-05 1.448001e-05 1.479163e-05 1.422620e-05 #>   [346,] 1.759491e-05 1.636429e-05 1.931967e-05 2.169544e-05 2.215093e-05 #>   [347,] 1.800527e-05 2.058438e-05 2.061991e-05 1.865591e-05 1.883464e-05 #>   [348,] 1.580888e-05 1.678771e-05 1.778652e-05 1.745473e-05 1.666624e-05 #>   [349,] 1.055707e-05 1.040269e-05 1.139534e-05 1.169472e-05 1.090274e-05 #>   [350,] 1.402697e-05 1.435193e-05 1.660591e-05 1.664386e-05 1.479286e-05 #>   [351,] 1.114796e-03 9.834391e-04 9.513901e-04 9.466422e-04 8.399842e-04 #>   [352,] 1.178208e-05 1.159285e-05 1.192225e-05 1.133003e-05 1.164831e-05 #>   [353,] 1.474036e-05 1.644680e-05 1.859232e-05 1.699562e-05 1.801588e-05 #>   [354,] 1.958470e-05 2.344721e-05 3.881211e-05 4.379020e-05 4.613300e-05 #>   [355,] 2.195695e-05 1.865957e-05 1.841068e-05 1.897564e-05 1.801085e-05 #>   [356,] 1.497016e-05 1.402444e-05 1.530549e-05 1.536345e-05 1.497265e-05 #>   [357,] 9.659819e-04 9.509879e-04 7.933593e-04 9.179371e-04 8.820315e-04 #>   [358,] 1.664999e-05 2.172925e-05 1.954966e-05 1.981507e-05 1.854978e-05 #>   [359,] 5.182159e-05 3.445556e-05 2.146555e-05 2.745953e-05 3.025086e-05 #>   [360,] 1.822323e-04 1.681215e-04 1.144774e-04 9.088150e-05 4.008051e-05 #>   [361,] 3.673658e-04 1.743297e-04 9.621184e-05 1.189875e-04 9.515727e-05 #>   [362,] 1.647260e-05 2.156038e-05 2.913686e-05 2.195604e-05 2.057829e-05 #>   [363,] 1.438762e-05 1.453721e-05 1.612981e-05 1.954290e-05 1.896125e-05 #>   [364,] 1.845445e-05 1.964074e-05 3.367096e-05 3.319817e-05 2.618065e-05 #>   [365,] 1.420499e-05 1.364377e-05 1.385142e-05 1.567192e-05 1.463117e-05 #>   [366,] 2.126390e-05 2.505963e-05 2.591676e-05 2.873928e-05 3.007911e-05 #>   [367,] 2.089587e-05 2.390649e-05 2.585147e-05 2.752313e-05 2.345767e-05 #>   [368,] 1.509098e-05 1.447609e-05 2.015095e-05 1.745381e-05 1.795899e-05 #>   [369,] 1.391146e-05 1.327996e-05 1.192912e-05 1.323408e-05 1.232523e-05 #>   [370,] 1.790419e-05 1.505042e-05 1.480585e-05 1.667109e-05 1.636580e-05 #>   [371,] 1.413756e-05 1.324690e-05 1.495084e-05 1.598947e-05 1.500522e-05 #>   [372,] 1.529960e-05 1.540460e-05 1.954689e-05 1.763252e-05 1.657413e-05 #>   [373,] 1.326580e-05 1.279203e-05 1.388599e-05 1.439891e-05 1.315323e-05 #>   [374,] 1.319143e-05 1.477787e-05 1.660312e-05 1.789474e-05 2.048428e-05 #>   [375,] 1.485638e-05 1.423377e-05 1.430448e-05 1.580921e-05 1.613214e-05 #>   [376,] 1.856651e-05 1.960727e-05 3.138864e-05 5.371823e-05 7.566589e-05 #>   [377,] 1.684592e-05 1.463720e-05 1.610543e-05 1.702628e-05 1.603075e-05 #>   [378,] 4.435454e-05 3.185077e-05 2.600055e-05 2.261594e-05 2.367676e-05 #>   [379,] 3.247210e-05 1.821239e-04 4.758041e-04 7.565411e-05 1.492561e-05 #>   [380,] 1.459825e-05 1.403095e-05 1.619669e-05 1.608786e-05 1.557609e-05 #>   [381,] 1.613155e-05 1.705484e-05 1.492269e-05 1.625585e-05 1.692776e-05 #>   [382,] 3.311144e-05 2.596960e-05 2.485118e-05 3.284197e-05 2.943261e-05 #>   [383,] 2.383772e-05 2.366962e-05 1.680442e-05 1.694803e-05 1.902693e-05 #>   [384,] 1.359389e-05 1.289367e-05 1.313805e-05 1.304537e-05 1.268309e-05 #>   [385,] 1.358050e-05 1.439721e-05 1.283412e-05 1.369830e-05 1.299254e-05 #>   [386,] 2.068399e-05 2.575289e-05 2.259888e-05 1.960518e-05 1.663408e-05 #>   [387,] 1.362025e-05 1.258428e-05 1.238717e-05 1.530978e-05 1.534444e-05 #>   [388,] 2.358605e-05 1.874156e-05 2.527761e-05 3.293203e-05 3.092907e-05 #>   [389,] 3.821664e-05 4.423560e-05 3.180966e-05 4.388558e-05 6.122240e-05 #>   [390,] 1.393250e-05 1.399906e-05 1.526920e-05 1.566016e-05 1.646497e-05 #>   [391,] 1.590137e-04 1.298841e-04 7.112452e-05 6.756120e-05 4.459882e-05 #>   [392,] 1.496012e-05 1.398950e-05 1.430604e-05 1.648522e-05 1.621824e-05 #>   [393,] 1.753602e-05 1.581803e-05 1.693624e-05 1.918826e-05 1.866098e-05 #>   [394,] 1.422630e-05 1.490994e-05 1.448922e-05 1.441722e-05 1.401614e-05 #>   [395,] 1.648711e-05 1.828416e-05 2.524245e-05 2.231283e-05 2.397260e-05 #>   [396,] 1.566930e-05 1.598927e-05 1.670738e-05 1.452531e-05 1.687401e-05 #>   [397,] 9.082967e-05 8.614981e-05 1.320537e-04 1.421082e-04 1.281868e-04 #>   [398,] 1.556495e-05 1.533659e-05 1.832285e-05 2.060190e-05 2.297842e-05 #>   [399,] 1.560598e-05 1.737463e-05 1.754946e-05 1.695453e-05 1.942755e-05 #>   [400,] 1.558566e-05 1.573064e-05 1.714828e-05 1.927238e-05 2.031325e-05 #>   [401,] 1.657016e-05 1.611536e-05 2.834722e-05 2.688066e-05 2.147781e-05 #>   [402,] 1.473415e-05 1.474065e-05 1.742815e-05 1.744273e-05 1.558491e-05 #>   [403,] 6.138228e-05 6.438115e-05 7.805646e-05 7.025901e-05 6.152149e-05 #>   [404,] 1.499489e-05 1.546635e-05 1.729054e-05 1.793938e-05 1.714126e-05 #>   [405,] 2.184246e-05 1.781590e-05 1.880284e-05 2.540085e-05 3.624531e-05 #>   [406,] 1.293092e-05 1.268495e-05 1.433561e-05 1.447911e-05 1.310778e-05 #>   [407,] 1.785140e-05 1.709410e-05 4.219417e-05 4.783843e-05 2.842121e-05 #>   [408,] 1.402924e-05 1.468515e-05 1.716388e-05 1.560150e-05 1.631819e-05 #>   [409,] 1.381837e-05 1.455454e-05 1.897715e-05 1.535448e-05 1.525834e-05 #>   [410,] 1.381605e-05 1.331408e-05 1.451330e-05 1.513927e-05 1.442264e-05 #>   [411,] 1.479221e-04 2.091455e-04 6.171652e-04 7.322205e-04 7.669011e-04 #>   [412,] 2.033824e-05 2.139423e-05 2.577815e-05 2.901302e-05 3.362948e-05 #>   [413,] 1.594658e-05 1.628941e-05 2.020574e-05 2.058039e-05 1.779504e-05 #>   [414,] 1.210077e-05 1.199570e-05 1.382312e-05 1.478484e-05 1.511013e-05 #>   [415,] 1.396638e-05 1.382547e-05 1.546599e-05 1.488033e-05 1.540952e-05 #>   [416,] 3.189978e-05 3.693129e-05 4.024610e-05 5.797677e-05 7.888385e-05 #>   [417,] 1.430013e-05 1.381022e-05 1.568472e-05 1.669655e-05 1.468913e-05 #>   [418,] 1.996042e-05 2.138146e-05 2.234956e-05 2.452052e-05 2.057494e-05 #>   [419,] 3.415924e-05 2.378034e-05 2.311453e-05 2.439779e-05 2.420253e-05 #>   [420,] 1.481469e-05 1.243934e-05 1.191153e-05 1.388913e-05 1.227623e-05 #>   [421,] 1.527520e-05 1.637699e-05 1.483802e-05 1.519777e-05 1.570199e-05 #>   [422,] 3.053856e-05 6.184024e-05 4.196112e-05 2.230561e-05 4.918313e-05 #>   [423,] 2.326369e-05 1.897038e-05 1.468891e-05 1.443512e-05 1.326804e-05 #>   [424,] 1.414771e-05 1.454026e-05 1.554005e-05 1.870426e-05 1.987648e-05 #>   [425,] 1.719400e-05 1.709294e-05 1.562804e-05 1.516402e-05 1.351882e-05 #>   [426,] 2.153769e-05 2.226294e-05 3.543889e-05 2.694263e-05 1.575547e-05 #>   [427,] 1.443825e-05 1.419577e-05 1.705637e-05 1.811126e-05 1.509506e-05 #>   [428,] 1.512132e-05 1.655554e-05 1.950256e-05 2.048800e-05 1.895711e-05 #>   [429,] 4.440159e-05 3.938420e-05 1.294938e-04 1.339162e-04 1.311029e-04 #>   [430,] 6.639699e-05 1.034943e-04 1.187682e-04 8.189209e-05 5.762094e-05 #>   [431,] 5.644674e-05 8.527515e-05 6.747605e-05 5.493888e-05 6.121059e-05 #>   [432,] 8.974420e-05 8.497897e-05 4.850868e-05 7.374597e-05 1.797178e-04 #>   [433,] 1.317096e-05 1.360536e-05 1.514058e-05 1.423291e-05 1.468019e-05 #>   [434,] 2.707665e-05 2.733269e-05 4.743297e-05 3.702439e-05 4.427021e-05 #>   [435,] 3.496296e-05 3.294663e-05 6.295124e-05 8.894093e-05 1.351732e-04 #>   [436,] 3.992906e-05 3.988879e-05 3.559490e-05 3.266243e-05 3.402563e-05 #>   [437,] 3.051023e-05 3.296995e-05 2.183742e-05 2.472818e-05 2.853734e-05 #>   [438,] 4.115481e-05 4.041421e-05 4.268942e-05 4.381091e-05 6.346198e-05 #>   [439,] 2.883251e-05 2.412074e-05 4.293190e-05 5.407347e-05 3.556876e-05 #>   [440,] 8.241446e-05 1.381004e-04 2.182827e-04 1.564291e-04 1.010863e-04 #>   [441,] 1.679158e-05 1.738521e-05 2.636777e-05 2.905274e-05 3.077782e-05 #>   [442,] 1.543696e-05 1.880376e-05 2.908699e-05 2.597681e-05 2.315074e-05 #>   [443,] 1.312131e-05 1.230062e-05 1.298114e-05 1.346020e-05 1.391893e-05 #>   [444,] 1.899432e-05 1.852956e-05 1.748415e-05 1.720276e-05 1.583967e-05 #>   [445,] 1.136907e-05 1.161205e-05 1.165221e-05 1.309207e-05 1.311753e-05 #>   [446,] 4.413278e-05 3.695498e-05 3.848475e-05 3.350022e-05 2.957488e-05 #>   [447,] 2.041232e-05 3.555617e-05 7.313832e-05 6.695663e-05 1.069163e-04 #>   [448,] 8.387287e-05 4.183567e-05 2.800380e-05 2.925139e-05 2.707298e-05 #>   [449,] 1.474800e-05 1.656892e-05 1.994793e-05 1.988938e-05 1.880052e-05 #>   [450,] 2.101133e-05 2.274610e-05 2.956746e-05 2.493943e-05 2.443855e-05 #>   [451,] 1.162023e-05 1.219330e-05 1.572797e-05 2.006445e-05 2.551408e-05 #>   [452,] 1.565720e-05 1.291757e-05 1.454110e-05 1.500992e-05 1.540122e-05 #>   [453,] 1.685868e-05 1.471442e-05 1.738598e-05 1.638181e-05 1.700873e-05 #>   [454,] 1.323932e-05 1.220638e-05 1.178246e-05 1.240026e-05 1.356546e-05 #>   [455,] 1.653210e-05 1.867775e-05 2.240546e-05 2.453736e-05 2.395646e-05 #>   [456,] 1.532443e-05 1.898464e-05 2.312334e-05 1.923541e-05 1.970071e-05 #>   [457,] 8.174955e-05 7.793400e-05 5.380100e-05 7.257063e-05 8.660321e-05 #>   [458,] 4.779852e-05 8.154582e-05 1.368958e-04 1.953165e-04 4.316949e-04 #>   [459,] 1.777655e-05 1.678739e-05 1.729595e-05 1.771123e-05 1.620924e-05 #>   [460,] 1.477333e-05 1.398807e-05 1.699554e-05 1.696523e-05 1.484509e-05 #>   [461,] 1.042072e-03 6.882655e-04 8.483547e-04 8.007810e-04 5.161194e-04 #>   [462,] 1.086080e-05 1.020917e-05 1.074518e-05 1.098315e-05 1.083825e-05 #>   [463,] 1.197100e-05 1.085395e-05 1.244522e-05 1.287018e-05 1.297969e-05 #>   [464,] 1.262054e-05 1.210089e-05 1.335926e-05 1.438953e-05 1.435014e-05 #>   [465,] 1.519151e-05 1.604727e-05 2.390889e-05 2.399352e-05 2.381374e-05 #>   [466,] 1.287201e-05 1.194192e-05 1.300260e-05 1.366769e-05 1.423937e-05 #>   [467,] 2.718860e-05 3.062954e-05 3.049326e-05 2.742528e-05 2.582124e-05 #>   [468,] 2.390060e-05 1.945042e-05 3.467625e-05 3.273423e-05 3.257822e-05 #>   [469,] 1.272179e-05 1.666403e-05 1.964717e-05 1.576579e-05 1.583997e-05 #>   [470,] 6.615600e-05 7.187621e-05 6.814755e-05 7.581551e-05 7.405245e-05 #>   [471,] 1.477955e-05 1.385017e-05 1.458073e-05 1.569337e-05 1.480603e-05 #>   [472,] 1.974202e-05 1.567897e-05 1.906727e-05 1.858688e-05 1.871477e-05 #>   [473,] 4.510288e-05 5.511310e-05 3.905444e-05 3.705519e-05 3.973014e-05 #>   [474,] 1.447812e-05 1.407554e-05 1.508975e-05 1.524760e-05 1.540868e-05 #>   [475,] 2.186673e-05 1.965054e-05 1.754069e-05 1.788556e-05 1.720255e-05 #>   [476,] 1.286014e-05 1.254441e-05 1.356648e-05 1.491551e-05 1.500207e-05 #>   [477,] 1.543538e-05 1.412536e-05 1.319062e-05 1.494032e-05 1.515379e-05 #>   [478,] 1.441541e-05 1.505107e-05 1.494428e-05 1.594058e-05 1.800224e-05 #>   [479,] 1.846223e-05 1.388174e-05 1.590882e-05 1.710597e-05 1.881194e-05 #>   [480,] 2.056747e-05 1.990647e-05 2.872919e-05 2.110062e-05 2.221874e-05 #>   [481,] 1.559933e-05 1.573894e-05 1.636162e-05 1.825656e-05 1.872411e-05 #>   [482,] 2.645538e-05 2.156078e-05 3.182867e-05 3.576028e-05 3.529001e-05 #>   [483,] 4.799597e-05 4.206447e-05 3.165641e-05 2.379215e-05 1.957613e-05 #>   [484,] 1.489952e-05 1.568139e-05 1.363234e-05 1.358684e-05 1.362812e-05 #>   [485,] 1.469669e-05 1.437078e-05 1.591147e-05 1.798154e-05 1.701568e-05 #>   [486,] 2.539540e-05 3.059743e-05 2.844797e-05 2.657971e-05 2.437845e-05 #>   [487,] 1.873528e-05 2.414870e-05 3.328447e-05 2.088457e-05 2.036706e-05 #>   [488,] 1.448434e-05 1.723011e-05 1.328481e-05 1.352958e-05 1.395763e-05 #>   [489,] 3.067853e-05 2.434531e-05 1.950917e-05 2.410185e-05 2.671858e-05 #>   [490,] 5.316805e-05 2.927228e-05 1.850888e-05 1.995877e-05 2.088828e-05 #>   [491,] 1.569315e-05 1.962021e-05 2.161151e-05 1.682475e-05 1.548398e-05 #>   [492,] 1.544689e-05 1.398320e-05 1.381100e-05 1.689007e-05 1.634701e-05 #>   [493,] 3.541814e-04 2.869680e-04 3.297491e-04 2.773441e-04 2.995097e-04 #>   [494,] 1.496783e-05 1.293161e-05 1.565926e-05 1.530435e-05 1.419646e-05 #>   [495,] 1.280966e-05 1.266293e-05 1.271341e-05 1.445683e-05 1.434534e-05 #>   [496,] 1.518593e-05 1.526682e-05 1.699943e-05 1.847381e-05 1.796313e-05 #>   [497,] 1.471112e-05 1.550920e-05 1.734275e-05 1.733381e-05 1.850700e-05 #>   [498,] 1.307888e-05 1.096469e-05 1.181508e-05 1.315503e-05 1.130589e-05 #>   [499,] 1.330037e-05 1.305657e-05 1.454173e-05 1.395963e-05 1.356740e-05 #>   [500,] 1.408930e-05 1.272003e-05 1.329990e-05 1.572649e-05 1.546395e-05 #>   [501,] 2.588139e-05 2.948528e-05 3.842090e-05 2.860454e-05 3.026481e-05 #>   [502,] 1.593363e-05 1.558522e-05 1.622252e-05 1.800977e-05 1.900658e-05 #>   [503,] 1.534475e-05 1.479401e-05 1.625055e-05 1.655247e-05 1.749068e-05 #>   [504,] 1.455888e-05 2.038513e-05 1.957557e-05 1.632708e-05 1.392813e-05 #>   [505,] 1.553676e-05 1.378066e-05 1.402866e-05 1.717537e-05 1.659601e-05 #>   [506,] 2.067361e-05 2.217212e-05 3.703876e-05 4.828656e-05 6.361282e-05 #>   [507,] 2.417719e-04 1.340823e-04 2.299392e-05 2.803175e-05 3.044713e-05 #>   [508,] 1.933847e-05 1.405817e-05 1.247188e-05 1.250740e-05 1.340852e-05 #>   [509,] 1.435061e-05 1.484736e-05 1.562178e-05 1.506961e-05 1.456163e-05 #>   [510,] 1.349373e-05 1.377652e-05 1.406600e-05 1.340025e-05 1.380537e-05 #>   [511,] 1.190739e-03 1.024068e-03 1.085095e-03 1.118355e-03 1.088592e-03 #>   [512,] 4.202014e-05 4.579910e-05 4.937838e-05 4.846896e-05 6.055618e-05 #>   [513,] 4.549776e-05 7.267588e-05 3.963284e-05 3.508399e-05 4.509570e-05 #>   [514,] 1.383240e-05 1.376252e-05 1.421602e-05 1.603114e-05 1.601850e-05 #>   [515,] 1.999351e-05 1.575164e-05 1.759177e-05 1.742247e-05 1.836464e-05 #>   [516,] 1.384764e-05 1.443037e-05 2.124777e-05 1.788115e-05 1.499245e-05 #>   [517,] 7.925817e-05 8.496930e-05 1.044370e-04 1.630712e-04 1.170948e-04 #>   [518,] 1.824338e-05 1.563711e-05 1.783661e-05 1.973593e-05 1.816820e-05 #>   [519,] 1.153153e-04 1.138920e-04 1.233491e-04 6.151250e-05 2.896898e-05 #>   [520,] 1.360176e-05 1.273930e-05 1.366204e-05 1.541813e-05 1.515957e-05 #>   [521,] 1.451819e-05 1.286807e-05 1.295038e-05 1.468474e-05 1.310533e-05 #>   [522,] 1.201071e-05 1.145430e-05 1.256146e-05 1.371009e-05 1.322238e-05 #>   [523,] 1.643859e-05 1.517389e-05 1.693938e-05 1.924659e-05 2.687987e-05 #>   [524,] 1.438320e-05 1.415869e-05 1.458371e-05 1.660517e-05 1.586689e-05 #>   [525,] 1.690497e-05 1.461261e-05 1.760602e-05 1.875102e-05 1.742945e-05 #>   [526,] 1.720088e-05 1.583244e-05 1.586549e-05 1.740734e-05 1.546378e-05 #>   [527,] 1.285057e-05 1.274303e-05 1.336248e-05 1.373507e-05 1.374754e-05 #>   [528,] 1.307349e-05 1.236355e-05 1.162487e-05 1.345079e-05 1.272585e-05 #>   [529,] 1.335091e-05 1.163870e-05 1.188825e-05 1.386059e-05 1.325720e-05 #>   [530,] 1.468599e-05 1.378111e-05 1.422195e-05 1.523637e-05 1.627491e-05 #>   [531,] 1.603194e-05 1.437353e-05 1.547241e-05 1.744723e-05 1.613584e-05 #>   [532,] 1.321793e-05 1.253959e-05 1.257841e-05 1.329888e-05 1.268068e-05 #>   [533,] 1.664009e-05 1.714807e-05 1.776123e-05 1.970448e-05 3.521853e-05 #>   [534,] 1.291488e-05 1.334425e-05 1.572404e-05 1.618778e-05 1.450423e-05 #>   [535,] 1.277601e-05 1.377393e-05 1.552817e-05 1.592456e-05 1.413239e-05 #>   [536,] 1.502339e-05 1.445336e-05 1.421116e-05 1.547715e-05 1.434220e-05 #>   [537,] 1.871856e-05 2.148497e-05 2.019019e-05 1.699675e-05 1.746015e-05 #>   [538,] 1.660238e-05 1.640371e-05 1.950216e-05 2.072428e-05 2.357750e-05 #>   [539,] 1.177777e-05 1.151690e-05 1.200729e-05 1.188316e-05 1.195135e-05 #>   [540,] 1.268414e-05 1.214246e-05 1.337331e-05 1.427788e-05 1.456341e-05 #>   [541,] 1.001822e-03 9.568890e-04 1.083213e-03 1.132216e-03 1.051060e-03 #>   [542,] 1.407943e-05 1.397036e-05 1.516188e-05 1.492722e-05 1.469650e-05 #>   [543,] 9.629936e-05 1.054614e-04 7.511017e-05 7.389815e-05 7.651868e-05 #>   [544,] 8.630855e-05 6.981232e-05 7.111806e-05 5.248976e-05 6.712427e-05 #>   [545,] 2.712341e-05 2.073592e-05 3.592471e-05 2.756183e-05 1.647945e-05 #>   [546,] 1.585378e-05 1.721928e-05 2.051917e-05 1.872924e-05 1.706496e-05 #>   [547,] 1.359618e-05 1.395212e-05 1.351914e-05 1.431557e-05 1.382493e-05 #>   [548,] 1.783481e-05 1.712904e-05 2.287603e-05 2.434960e-05 1.992663e-05 #>   [549,] 1.576985e-05 1.695974e-05 1.871834e-05 1.736168e-05 1.680682e-05 #>   [550,] 4.847984e-05 5.433481e-05 4.412220e-05 3.605861e-05 3.099718e-05 #>   [551,] 3.983143e-04 3.353410e-04 8.741652e-05 7.169278e-05 5.193011e-05 #>   [552,] 2.385893e-05 2.236263e-05 3.653653e-05 3.372880e-05 2.329099e-05 #>   [553,] 1.388449e-05 1.456975e-05 1.493382e-05 1.482141e-05 1.424244e-05 #>   [554,] 1.203009e-05 1.096995e-05 1.204386e-05 1.258909e-05 1.180438e-05 #>   [555,] 3.313493e-05 4.275745e-05 3.364116e-05 3.521561e-05 4.259747e-05 #>   [556,] 2.919627e-05 4.328812e-05 8.754526e-05 9.484580e-05 1.534324e-04 #>   [557,] 1.634901e-05 1.589369e-05 1.722830e-05 1.924386e-05 1.653778e-05 #>   [558,] 5.353786e-05 3.075176e-05 1.962751e-05 2.343915e-05 2.754296e-05 #>   [559,] 1.565598e-04 2.039140e-04 2.401765e-04 1.975538e-04 1.348916e-04 #>   [560,] 1.700774e-05 1.534704e-05 1.601612e-05 1.955006e-05 1.891789e-05 #>   [561,] 2.493964e-05 2.377789e-05 2.106212e-05 2.395808e-05 2.362009e-05 #>   [562,] 1.461965e-05 1.515386e-05 1.952897e-05 1.895888e-05 1.763639e-05 #>   [563,] 1.927036e-05 2.471066e-05 2.388805e-05 2.308620e-05 2.393844e-05 #>   [564,] 3.555502e-05 3.781724e-05 3.534224e-05 4.798542e-05 6.955146e-05 #>   [565,] 2.201629e-05 2.646290e-05 3.875377e-05 6.689575e-05 1.332151e-04 #>   [566,] 1.427716e-05 1.376405e-05 1.589788e-05 1.591168e-05 1.676320e-05 #>   [567,] 6.036057e-05 6.547226e-05 5.147779e-05 4.691989e-05 6.639072e-05 #>   [568,] 3.064885e-05 1.939234e-05 1.858016e-05 1.582738e-05 2.644423e-05 #>   [569,] 2.084447e-05 2.244439e-05 2.012956e-05 2.036428e-05 1.849793e-05 #>   [570,] 1.277768e-05 1.415278e-05 1.341045e-05 1.281725e-05 1.255725e-05 #>   [571,] 1.460070e-05 1.522726e-05 1.608360e-05 1.554522e-05 1.564663e-05 #>   [572,] 2.639930e-05 3.550640e-05 3.569972e-05 3.061912e-05 2.365733e-05 #>   [573,] 4.440988e-05 2.075721e-05 1.865417e-05 2.175251e-05 1.813468e-05 #>   [574,] 6.123819e-05 6.827682e-05 8.723600e-05 8.398179e-05 8.346279e-05 #>   [575,] 1.889575e-05 1.740402e-05 1.842596e-05 1.916161e-05 1.726733e-05 #>   [576,] 5.150723e-05 4.139900e-05 8.642483e-05 1.128512e-04 7.715111e-05 #>   [577,] 1.497139e-05 1.505469e-05 1.595257e-05 1.555412e-05 1.494552e-05 #>   [578,] 3.422078e-05 5.737120e-05 5.209903e-05 4.727107e-05 6.180605e-05 #>   [579,] 1.771951e-05 2.595257e-05 1.917795e-05 5.784925e-05 1.282003e-04 #>   [580,] 1.537355e-05 1.645626e-05 2.120617e-05 1.675090e-05 1.740743e-05 #>   [581,] 1.282311e-05 1.101672e-05 1.114837e-05 1.116463e-05 1.109096e-05 #>   [582,] 1.554360e-05 1.728535e-05 2.034027e-05 2.109945e-05 1.850618e-05 #>   [583,] 2.974729e-05 4.782156e-05 9.372023e-05 8.347077e-05 5.878707e-05 #>   [584,] 1.365684e-05 1.286196e-05 1.475580e-05 1.503285e-05 1.447469e-05 #>   [585,] 1.701758e-05 1.613144e-05 1.865584e-05 2.045941e-05 2.145570e-05 #>   [586,] 1.302815e-05 1.347883e-05 1.441079e-05 1.414322e-05 1.404482e-05 #>   [587,] 4.340446e-05 3.297558e-05 4.042991e-05 5.306400e-05 5.140719e-05 #>   [588,] 1.289124e-05 1.578167e-05 2.279191e-05 2.319598e-05 2.024304e-05 #>   [589,] 1.263069e-05 1.280715e-05 1.390133e-05 1.482195e-05 1.395518e-05 #>   [590,] 1.335568e-05 1.411364e-05 1.400565e-05 1.409665e-05 1.320857e-05 #>   [591,] 4.309496e-04 4.909350e-04 6.244388e-04 4.848976e-04 5.274042e-04 #>   [592,] 3.066156e-05 2.845943e-05 4.497358e-05 7.061706e-05 6.849732e-05 #>   [593,] 3.389488e-05 3.023417e-05 5.053551e-05 6.150621e-05 5.734683e-05 #>   [594,] 1.707245e-05 1.532686e-05 2.350027e-05 2.181319e-05 1.996286e-05 #>   [595,] 1.391260e-05 1.263431e-05 1.301291e-05 1.316424e-05 1.286752e-05 #>   [596,] 1.326761e-05 1.208303e-05 1.288284e-05 1.381308e-05 1.373867e-05 #>   [597,] 1.808410e-05 1.316556e-05 1.211027e-05 1.303866e-05 1.213924e-05 #>   [598,] 1.188399e-05 1.259751e-05 1.380029e-05 1.358411e-05 1.266576e-05 #>   [599,] 1.134525e-04 5.830733e-05 4.628872e-05 5.265169e-05 5.817246e-05 #>   [600,] 1.390076e-05 1.516590e-05 1.610660e-05 1.725720e-05 1.624367e-05 #>   [601,] 1.662066e-05 1.297061e-05 1.471174e-05 1.401266e-05 1.567152e-05 #>   [602,] 1.545656e-05 1.760480e-05 1.918841e-05 1.889735e-05 1.838833e-05 #>   [603,] 1.684615e-05 1.735957e-05 1.892326e-05 1.774832e-05 1.791909e-05 #>   [604,] 1.444492e-05 1.619163e-05 2.076671e-05 1.700067e-05 1.674604e-05 #>   [605,] 8.427903e-05 9.123183e-05 4.806637e-05 7.231722e-05 9.276891e-05 #>   [606,] 1.888475e-05 1.729064e-05 3.461436e-05 5.847985e-05 5.818851e-05 #>   [607,] 1.619080e-05 1.466180e-05 1.557064e-05 1.645418e-05 1.516545e-05 #>   [608,] 1.560367e-05 1.502612e-05 2.175648e-05 1.835011e-05 1.723205e-05 #>   [609,] 4.465449e-04 3.756373e-04 7.198409e-05 6.566046e-05 8.536802e-05 #>   [610,] 1.546608e-05 1.607028e-05 1.529461e-05 1.567322e-05 1.445535e-05 #>   [611,] 1.618637e-05 1.534980e-05 1.583198e-05 1.791287e-05 1.794349e-05 #>   [612,] 1.549219e-05 1.422024e-05 1.573904e-05 1.750322e-05 1.644915e-05 #>   [613,] 1.469214e-05 1.439833e-05 1.596752e-05 1.910410e-05 1.914143e-05 #>   [614,] 1.553330e-05 1.455528e-05 2.057049e-05 2.196708e-05 2.961334e-05 #>   [615,] 1.360201e-05 1.467293e-05 1.622490e-05 1.656318e-05 1.585580e-05 #>   [616,] 1.610601e-05 1.793551e-05 2.643103e-05 2.053719e-05 1.781089e-05 #>   [617,] 1.352370e-05 1.335564e-05 1.241219e-05 1.435477e-05 1.317332e-05 #>   [618,] 3.571509e-05 2.508559e-05 2.985204e-05 3.403220e-05 3.411192e-05 #>   [619,] 5.214938e-05 5.957722e-05 1.332039e-04 1.422564e-04 1.249265e-04 #>   [620,] 1.850198e-05 1.530643e-05 2.504502e-05 2.336700e-05 2.192334e-05 #>   [621,] 1.755757e-05 1.331794e-05 1.434699e-05 1.466730e-05 1.513111e-05 #>   [622,] 1.315047e-05 1.413930e-05 1.780987e-05 1.640242e-05 1.659934e-05 #>   [623,] 1.452511e-05 1.219474e-05 1.316179e-05 1.545865e-05 1.319564e-05 #>   [624,] 2.198306e-05 2.165975e-05 4.200515e-05 4.970309e-05 3.670182e-05 #>   [625,] 1.861384e-05 1.603142e-05 2.004518e-05 2.214924e-05 1.971370e-05 #>   [626,] 1.431353e-05 1.279433e-05 1.303299e-05 1.334658e-05 1.308753e-05 #>   [627,] 1.766470e-05 1.740456e-05 2.618420e-05 2.484653e-05 2.547092e-05 #>   [628,] 1.490581e-05 1.354065e-05 1.627039e-05 1.819763e-05 1.730813e-05 #>   [629,] 1.651850e-05 1.955826e-05 2.418037e-05 2.453044e-05 2.458639e-05 #>   [630,] 1.544946e-04 1.199007e-04 9.794528e-05 1.064223e-04 1.047077e-04 #>   [631,] 3.173906e-05 2.748437e-05 1.685966e-05 1.943193e-05 2.139370e-05 #>   [632,] 1.428739e-05 1.314277e-05 1.561982e-05 1.493736e-05 1.469389e-05 #>   [633,] 2.047569e-05 1.296030e-05 1.280574e-05 1.266390e-05 1.352708e-05 #>   [634,] 1.407235e-05 1.287087e-05 1.271777e-05 1.393442e-05 1.727108e-05 #>   [635,] 1.485173e-05 1.354026e-05 1.532718e-05 1.625370e-05 1.646820e-05 #>   [636,] 1.512249e-05 1.448177e-05 1.710181e-05 1.644976e-05 1.574230e-05 #>   [637,] 1.517802e-05 1.468388e-05 1.931338e-05 1.996856e-05 1.764710e-05 #>   [638,] 2.570967e-05 2.053776e-05 2.513034e-05 2.211754e-05 2.140563e-05 #>   [639,] 1.503496e-05 1.526540e-05 1.619552e-05 1.615573e-05 1.734143e-05 #>   [640,] 1.694251e-05 1.664815e-05 2.454179e-05 2.305441e-05 2.724300e-05 #>   [641,] 1.696854e-05 1.840348e-05 2.417621e-05 2.033015e-05 1.955079e-05 #>   [642,] 1.583097e-05 1.347473e-05 1.308784e-05 1.679382e-05 1.351203e-05 #>   [643,] 1.663794e-05 1.575159e-05 1.387297e-05 1.502716e-05 1.451934e-05 #>   [644,] 1.537537e-05 1.492119e-05 1.923627e-05 1.866867e-05 1.824741e-05 #>   [645,] 4.314974e-05 6.846548e-05 4.983908e-05 5.054398e-05 6.077877e-05 #>   [646,] 1.716461e-05 1.935639e-05 1.334987e-05 1.465932e-05 1.349286e-05 #>   [647,] 9.367021e-05 5.922698e-05 3.529317e-05 3.069077e-05 1.783864e-05 #>   [648,] 2.580408e-04 4.218681e-04 9.375875e-05 1.008119e-04 1.270602e-04 #>   [649,] 1.423043e-05 1.385365e-05 1.665544e-05 1.735483e-05 1.644942e-05 #>   [650,] 2.964533e-05 3.737567e-05 3.646905e-05 2.798821e-05 2.812678e-05 #>   [651,] 1.505366e-05 1.473173e-05 1.675630e-05 2.172083e-05 2.529053e-05 #>   [652,] 1.228714e-04 6.744868e-05 4.330911e-04 5.812529e-04 9.136913e-04 #>   [653,] 1.197580e-05 1.196363e-05 1.234153e-05 1.302267e-05 1.302885e-05 #>   [654,] 1.822150e-05 1.645972e-05 1.749817e-05 1.903880e-05 2.053833e-05 #>   [655,] 1.452464e-04 1.671659e-04 1.704739e-04 1.754323e-04 1.349391e-04 #>   [656,] 5.269774e-05 3.511944e-05 3.706825e-05 4.184633e-05 3.726048e-05 #>   [657,] 2.225670e-05 2.212707e-05 2.956706e-05 2.218652e-05 2.137163e-05 #>   [658,] 1.861301e-05 2.010440e-05 2.033979e-05 1.861704e-05 1.694856e-05 #>   [659,] 1.422765e-05 1.276464e-05 1.508212e-05 1.723919e-05 1.552769e-05 #>   [660,] 1.286130e-05 1.566254e-05 1.663860e-05 1.519979e-05 1.593339e-05 #>   [661,] 2.160002e-04 2.432992e-04 2.881617e-04 3.994054e-04 4.724472e-04 #>   [662,] 1.339506e-05 1.270102e-05 1.508309e-05 1.699545e-05 1.890603e-05 #>   [663,] 1.336396e-05 1.289570e-05 1.363599e-05 1.468096e-05 1.406539e-05 #>   [664,] 1.484926e-05 1.523491e-05 1.871059e-05 1.915004e-05 1.648752e-05 #>   [665,] 1.993288e-05 1.449258e-05 4.130976e-05 2.453157e-05 3.370851e-05 #>   [666,] 1.720836e-05 1.760258e-05 2.366088e-05 1.764670e-05 1.809219e-05 #>   [667,] 1.379268e-05 1.103175e-05 1.289228e-05 1.338962e-05 1.238199e-05 #>   [668,] 1.260994e-05 1.291985e-05 1.554102e-05 1.676629e-05 1.755580e-05 #>   [669,] 2.007603e-05 2.147243e-05 2.461219e-05 2.230891e-05 1.819392e-05 #>   [670,] 1.340910e-05 1.357145e-05 1.330211e-05 1.441663e-05 1.365625e-05 #>   [671,] 2.157322e-05 1.593042e-05 1.408538e-05 1.440984e-05 1.380924e-05 #>   [672,] 2.383319e-05 1.613321e-05 1.897265e-05 1.829418e-05 1.736854e-05 #>   [673,] 1.609956e-05 1.837986e-05 2.203794e-05 2.150117e-05 1.991195e-05 #>   [674,] 1.863622e-05 1.990676e-05 1.829656e-05 2.945389e-05 3.597227e-05 #>   [675,] 1.239058e-05 1.165959e-05 1.432634e-05 1.504056e-05 1.562644e-05 #>   [676,] 1.560719e-05 1.831661e-05 3.778105e-05 3.219235e-05 4.311588e-05 #>   [677,] 1.726674e-05 1.856293e-05 2.771554e-05 2.106014e-05 1.792579e-05 #>   [678,] 1.184769e-05 1.056497e-05 1.162257e-05 1.193926e-05 1.187754e-05 #>   [679,] 1.440279e-05 1.264687e-05 1.451451e-05 1.538955e-05 1.601611e-05 #>   [680,] 3.771846e-05 3.873424e-05 2.741015e-05 2.333594e-05 2.194362e-05 #>   [681,] 1.417034e-05 1.500382e-05 1.432628e-05 1.535720e-05 1.795886e-05 #>   [682,] 2.065464e-05 1.747114e-05 1.594367e-05 1.538386e-05 1.417990e-05 #>   [683,] 9.189966e-05 9.873423e-05 1.165094e-04 1.090343e-04 5.493104e-05 #>   [684,] 1.278739e-04 3.138982e-04 8.995791e-04 6.450869e-04 3.555178e-04 #>   [685,] 5.255643e-05 5.711919e-05 7.761571e-05 6.483098e-05 4.806849e-05 #>   [686,] 5.067206e-05 3.485002e-05 5.317895e-05 5.228841e-05 3.546666e-05 #>   [687,] 1.245187e-05 1.262192e-05 1.308868e-05 1.289968e-05 1.217001e-05 #>   [688,] 1.369698e-05 1.194437e-05 1.272950e-05 1.368067e-05 1.245815e-05 #>   [689,] 1.555857e-05 1.431464e-05 1.455598e-05 1.561662e-05 1.754182e-05 #>   [690,] 1.674315e-05 1.684123e-05 2.510533e-05 2.499613e-05 2.521604e-05 #>   [691,] 1.441445e-05 1.446255e-05 1.901049e-05 1.885396e-05 1.841178e-05 #>   [692,] 1.331937e-05 1.458568e-05 1.503137e-05 1.590088e-05 1.503617e-05 #>   [693,] 2.198048e-05 2.759632e-05 2.654490e-05 2.399346e-05 2.764943e-05 #>   [694,] 1.392371e-05 1.359269e-05 1.348145e-05 1.518267e-05 1.619776e-05 #>   [695,] 3.517023e-05 8.390311e-05 3.689414e-05 2.953502e-05 4.246046e-05 #>   [696,] 1.276737e-05 1.191163e-05 1.339048e-05 1.495633e-05 1.545894e-05 #>   [697,] 1.390673e-05 1.337183e-05 1.700779e-05 1.785874e-05 1.777102e-05 #>   [698,] 1.520820e-05 1.441272e-05 1.592322e-05 1.554453e-05 1.581110e-05 #>   [699,] 1.416150e-05 1.452268e-05 2.481968e-05 2.011715e-05 2.276940e-05 #>   [700,] 3.354249e-05 3.529951e-05 5.332299e-05 6.417865e-05 5.688396e-05 #>   [701,] 1.668089e-05 1.666014e-05 2.441032e-05 2.561544e-05 2.143601e-05 #>   [702,] 1.410334e-05 1.378819e-05 1.625696e-05 1.641558e-05 1.502615e-05 #>   [703,] 3.841289e-05 3.999345e-05 3.536589e-05 3.421212e-05 2.894174e-05 #>   [704,] 2.351996e-05 2.551329e-05 2.362091e-05 2.687895e-05 2.940065e-05 #>   [705,] 1.251916e-05 1.200016e-05 1.187076e-05 1.231439e-05 1.255701e-05 #>   [706,] 1.540305e-05 1.501393e-05 1.417663e-05 1.476390e-05 1.350436e-05 #>   [707,] 2.197743e-05 1.983755e-05 2.253065e-05 2.453404e-05 2.115520e-05 #>   [708,] 1.569502e-05 1.531141e-05 1.623741e-05 1.766261e-05 1.658063e-05 #>   [709,] 1.521051e-05 1.637508e-05 1.854080e-05 1.803636e-05 1.743541e-05 #>   [710,] 1.411729e-05 1.521958e-05 1.620285e-05 1.541223e-05 1.539459e-05 #>   [711,] 1.453649e-05 1.585479e-05 1.846834e-05 1.912318e-05 1.888968e-05 #>   [712,] 5.388281e-05 6.700022e-05 7.232041e-05 7.343453e-05 6.745371e-05 #>   [713,] 2.141652e-05 2.254226e-05 4.120215e-05 4.300223e-05 3.947016e-05 #>   [714,] 1.230157e-05 1.166910e-05 1.344181e-05 1.314362e-05 1.189351e-05 #>   [715,] 5.892663e-05 3.930443e-05 3.277041e-05 3.386061e-05 3.793566e-05 #>   [716,] 1.268382e-05 1.104657e-05 1.214376e-05 1.330791e-05 1.351821e-05 #>   [717,] 1.637133e-05 1.733231e-05 2.208696e-05 2.183840e-05 1.708838e-05 #>   [718,] 1.486281e-05 1.623937e-05 2.323100e-05 1.738141e-05 1.641635e-05 #>   [719,] 1.304328e-05 1.144329e-05 1.279097e-05 1.304090e-05 1.371656e-05 #>   [720,] 1.416307e-05 1.222705e-05 1.457380e-05 1.689231e-05 1.515088e-05 #>   [721,] 1.784928e-05 1.717029e-05 2.124847e-05 2.152348e-05 2.082862e-05 #>   [722,] 1.305581e-05 1.212454e-05 1.241594e-05 1.235826e-05 1.107547e-05 #>   [723,] 1.726525e-05 1.385878e-05 1.753722e-05 2.046787e-05 2.008458e-05 #>   [724,] 1.485575e-05 1.507622e-05 2.380948e-05 2.027688e-05 2.210870e-05 #>   [725,] 1.670310e-05 1.831602e-05 1.548438e-05 1.765881e-05 2.021187e-05 #>   [726,] 1.362230e-05 1.368135e-05 1.373295e-05 1.424608e-05 1.528687e-05 #>   [727,] 1.504514e-05 1.446903e-05 1.480714e-05 1.646041e-05 1.748665e-05 #>   [728,] 1.497046e-04 1.083170e-04 9.911189e-05 1.256604e-04 1.084823e-04 #>   [729,] 7.412618e-05 6.606971e-05 6.049358e-05 4.662690e-05 4.254829e-05 #>   [730,] 6.881952e-04 6.961937e-04 1.260020e-04 8.313426e-05 1.086690e-04 #>   [731,] 1.959046e-05 2.176282e-05 3.760230e-05 5.131304e-05 5.219393e-05 #>   [732,] 1.858421e-05 1.869436e-05 2.553933e-05 2.807918e-05 3.019842e-05 #>   [733,] 1.201454e-05 1.023625e-05 1.075557e-05 1.154641e-05 1.168165e-05 #>   [734,] 1.277720e-05 1.189544e-05 1.216922e-05 1.316183e-05 1.301542e-05 #>   [735,] 6.089422e-05 1.953807e-05 2.238278e-05 2.600711e-05 2.228338e-05 #>   [736,] 1.533365e-05 1.481918e-05 1.633932e-05 1.594630e-05 1.561081e-05 #>   [737,] 1.456891e-05 1.369264e-05 1.498630e-05 1.430890e-05 1.589724e-05 #>   [738,] 1.398481e-05 1.273127e-05 1.303637e-05 1.612126e-05 1.605608e-05 #>   [739,] 1.453227e-05 1.475539e-05 1.724021e-05 1.854772e-05 2.164353e-05 #>   [740,] 1.452947e-05 1.359051e-05 1.543508e-05 1.490099e-05 1.549205e-05 #>   [741,] 2.353849e-04 2.253070e-04 8.800349e-05 8.017675e-05 5.573382e-05 #>   [742,] 1.431710e-05 1.441551e-05 1.378929e-05 1.286612e-05 1.556812e-05 #>   [743,] 1.772748e-05 1.986028e-05 1.502077e-05 1.545603e-05 1.408061e-05 #>   [744,] 1.372126e-05 1.374370e-05 1.570932e-05 2.245324e-05 1.734158e-05 #>   [745,] 1.626297e-04 1.647228e-04 1.281462e-04 1.189943e-04 1.218343e-04 #>   [746,] 1.690038e-05 1.797786e-05 3.321236e-05 2.840661e-05 1.794384e-05 #>   [747,] 1.265020e-05 1.200892e-05 1.311108e-05 1.455714e-05 1.557442e-05 #>   [748,] 1.667014e-05 1.655855e-05 1.655095e-05 1.621608e-05 1.588011e-05 #>   [749,] 1.138357e-05 1.197868e-05 1.176075e-05 1.165790e-05 1.217466e-05 #>   [750,] 1.317811e-05 1.304824e-05 1.444978e-05 1.541062e-05 1.569170e-05 #>   [751,] 2.673110e-05 3.167851e-05 6.923109e-05 8.481651e-05 7.128309e-05 #>   [752,] 5.360795e-04 3.732472e-04 3.165693e-04 3.425362e-04 4.744142e-04 #>   [753,] 2.257567e-05 1.987682e-05 2.606996e-05 2.550387e-05 2.378340e-05 #>   [754,] 1.436011e-05 1.753444e-05 2.542830e-05 1.770954e-05 1.752961e-05 #>   [755,] 1.208255e-05 1.151022e-05 1.133669e-05 1.184022e-05 1.150671e-05 #>   [756,] 3.488427e-05 4.487039e-05 2.128345e-05 1.705914e-05 1.667280e-05 #>   [757,] 1.502235e-05 1.341747e-05 1.476432e-05 1.596723e-05 1.633303e-05 #>   [758,] 3.478718e-05 2.764924e-05 3.540720e-05 3.851326e-05 5.049574e-05 #>   [759,] 1.601965e-05 1.717273e-05 1.597739e-05 1.594408e-05 1.639086e-05 #>   [760,] 2.190760e-05 2.186894e-05 2.182779e-05 2.029039e-05 2.356460e-05 #>   [761,] 1.257356e-05 1.219629e-05 1.462152e-05 1.566509e-05 1.889558e-05 #>   [762,] 1.319546e-05 1.202190e-05 1.196567e-05 1.363178e-05 1.174358e-05 #>   [763,] 1.634813e-05 1.499302e-05 3.442795e-05 3.827805e-05 5.093563e-05 #>   [764,] 1.252846e-05 1.368837e-05 1.816947e-05 1.645826e-05 2.612396e-05 #>   [765,] 3.622711e-05 4.510198e-05 7.219849e-05 6.248112e-05 5.218581e-05 #>   [766,] 2.021053e-05 1.659683e-05 2.834958e-05 3.298420e-05 3.027694e-05 #>   [767,] 1.929691e-05 1.562759e-05 2.043448e-05 2.268471e-05 2.167419e-05 #>   [768,] 1.297775e-05 1.247362e-05 1.255523e-05 1.270853e-05 1.371985e-05 #>   [769,] 1.143966e-05 1.148913e-05 1.277937e-05 1.243888e-05 1.420153e-05 #>   [770,] 1.299075e-05 1.296928e-05 1.392337e-05 1.493100e-05 1.386513e-05 #>   [771,] 4.856185e-05 3.004349e-05 3.189849e-05 2.865721e-05 2.154683e-05 #>   [772,] 1.761536e-05 1.839242e-05 2.861711e-05 3.309194e-05 3.461183e-05 #>   [773,] 1.941433e-05 2.040247e-05 1.941087e-05 2.124378e-05 1.912266e-05 #>   [774,] 1.172205e-05 1.204653e-05 1.187024e-05 1.228348e-05 1.192645e-05 #>   [775,] 2.415847e-05 1.554047e-05 1.820139e-05 1.700501e-05 1.639428e-05 #>   [776,] 2.520214e-05 2.262956e-05 2.538323e-05 3.414028e-05 6.484991e-05 #>   [777,] 1.302262e-05 1.240556e-05 1.428978e-05 1.421738e-05 1.574508e-05 #>   [778,] 1.236284e-05 1.251954e-05 1.484054e-05 1.265119e-05 1.236566e-05 #>   [779,] 1.337259e-05 1.273112e-05 1.300635e-05 1.461775e-05 1.402478e-05 #>   [780,] 1.353385e-05 1.356257e-05 1.471898e-05 1.671640e-05 1.522438e-05 #>   [781,] 1.605256e-05 1.450012e-05 1.444640e-05 1.641184e-05 1.390105e-05 #>   [782,] 1.654185e-05 1.593894e-05 1.586550e-05 1.613919e-05 1.688899e-05 #>   [783,] 1.391451e-05 1.464353e-05 1.368112e-05 1.529394e-05 1.724636e-05 #>   [784,] 1.357288e-05 1.342381e-05 1.357587e-05 1.500620e-05 1.643596e-05 #>   [785,] 3.948141e-05 3.287526e-05 2.546833e-05 2.535557e-05 2.408935e-05 #>   [786,] 1.339277e-05 1.174716e-05 1.133668e-05 1.195830e-05 1.236662e-05 #>   [787,] 1.650199e-05 1.664462e-05 2.014058e-05 2.172026e-05 1.865842e-05 #>   [788,] 1.399146e-05 1.432752e-05 2.092315e-05 1.920476e-05 2.757553e-05 #>   [789,] 1.353566e-05 1.289354e-05 1.345696e-05 1.619965e-05 1.581871e-05 #>   [790,] 1.859997e-05 1.966206e-05 1.425411e-05 1.695004e-05 1.314698e-05 #>   [791,] 2.217847e-05 2.255055e-05 2.248668e-05 2.789557e-05 3.864201e-05 #>   [792,] 3.731632e-05 3.306339e-05 5.053815e-05 5.710831e-05 3.536449e-05 #>   [793,] 1.436795e-05 1.395296e-05 1.593698e-05 1.596858e-05 1.683184e-05 #>   [794,] 1.474532e-05 1.482284e-05 1.368929e-05 1.742009e-05 2.766220e-05 #>   [795,] 1.698903e-05 1.978059e-05 1.821868e-05 2.710240e-05 5.388931e-05 #>   [796,] 1.627370e-05 1.546711e-05 1.915819e-05 1.975053e-05 1.890985e-05 #>   [797,] 1.391514e-05 1.436171e-05 1.656230e-05 1.685564e-05 1.545212e-05 #>   [798,] 5.990026e-05 2.617256e-05 1.856535e-05 1.716599e-05 1.745205e-05 #>   [799,] 1.170138e-05 1.079475e-05 1.159809e-05 1.238994e-05 1.178555e-05 #>   [800,] 2.329465e-05 1.795369e-05 2.005225e-05 1.993108e-05 2.646341e-05 #>   [801,] 1.685750e-04 1.656222e-04 1.085556e-04 9.803716e-05 1.057238e-04 #>   [802,] 1.675191e-05 1.601639e-05 1.300806e-05 1.331094e-05 1.452256e-05 #>   [803,] 6.767848e-05 3.270430e-05 3.310693e-05 3.894821e-05 3.007602e-05 #>   [804,] 1.487793e-05 1.419495e-05 1.598210e-05 1.761954e-05 1.471647e-05 #>   [805,] 1.469192e-05 1.662030e-05 1.960739e-05 1.997744e-05 1.857933e-05 #>   [806,] 1.609932e-05 1.620206e-05 1.983979e-05 2.017297e-05 1.848670e-05 #>   [807,] 1.266826e-05 1.402316e-05 1.340348e-05 1.330679e-05 1.344715e-05 #>   [808,] 1.292522e-05 1.137264e-05 1.206310e-05 1.269700e-05 1.205113e-05 #>   [809,] 1.487480e-05 1.675954e-05 1.855993e-05 1.761505e-05 1.665815e-05 #>   [810,] 1.360445e-05 1.325793e-05 1.258638e-05 1.404853e-05 1.239387e-05 #>   [811,] 1.632411e-05 1.532913e-05 1.784390e-05 1.703271e-05 1.526986e-05 #>   [812,] 6.169887e-05 2.760209e-05 2.099931e-05 2.585176e-05 1.993724e-05 #>   [813,] 1.792345e-05 1.947302e-05 2.370638e-05 2.439068e-05 2.235039e-05 #>   [814,] 3.270810e-05 3.101944e-05 3.254459e-05 4.613177e-05 5.160188e-05 #>   [815,] 4.470111e-04 3.563789e-04 2.196513e-04 2.552529e-04 2.721815e-04 #>   [816,] 2.475612e-05 4.712025e-05 7.166496e-05 5.357117e-05 5.843682e-05 #>   [817,] 3.402249e-05 2.219329e-05 2.498635e-05 2.397766e-05 2.967922e-05 #>   [818,] 1.574746e-05 1.702104e-05 1.876573e-05 1.944902e-05 1.811808e-05 #>   [819,] 3.174670e-05 6.148824e-05 2.380330e-05 2.209819e-05 1.910963e-05 #>   [820,] 1.645713e-05 1.815530e-05 2.237707e-05 2.208547e-05 1.892364e-05 #>   [821,] 1.814593e-05 2.723702e-05 6.293968e-05 7.283191e-05 6.680951e-05 #>   [822,] 2.030294e-05 3.361268e-05 5.174007e-05 4.459691e-05 3.306113e-05 #>   [823,] 2.439706e-05 2.999475e-05 2.486266e-05 1.963510e-05 1.691411e-05 #>   [824,] 1.419178e-05 1.519712e-05 1.736646e-05 1.564944e-05 1.631939e-05 #>   [825,] 1.448036e-05 1.407266e-05 1.614915e-05 1.539952e-05 1.377468e-05 #>   [826,] 1.371558e-05 1.377663e-05 1.610163e-05 1.630460e-05 1.567173e-05 #>   [827,] 1.878822e-05 2.123071e-05 4.066646e-05 3.695485e-05 6.173629e-05 #>   [828,] 1.324902e-05 1.459305e-05 1.760333e-05 1.737915e-05 1.707930e-05 #>   [829,] 2.662444e-05 2.412274e-05 2.235029e-05 2.181182e-05 2.131222e-05 #>   [830,] 1.637360e-05 1.733862e-05 2.159838e-05 1.788077e-05 1.882504e-05 #>   [831,] 1.472280e-05 1.325070e-05 1.663152e-05 1.755969e-05 1.692459e-05 #>   [832,] 2.999090e-05 2.143556e-05 2.322000e-05 2.264416e-05 2.165491e-05 #>   [833,] 1.934087e-05 1.917222e-05 2.963388e-05 2.009068e-05 1.971523e-05 #>   [834,] 1.551145e-05 1.681574e-05 1.686842e-05 1.608983e-05 1.599465e-05 #>   [835,] 1.357126e-05 1.337167e-05 1.643261e-05 1.812486e-05 2.422421e-05 #>   [836,] 1.774791e-05 1.727761e-05 1.997679e-05 1.999794e-05 1.695720e-05 #>   [837,] 1.746020e-05 2.101491e-05 1.828388e-05 1.729664e-05 2.086282e-05 #>   [838,] 1.288163e-05 1.179735e-05 1.644521e-05 1.851238e-05 1.464148e-05 #>   [839,] 1.335452e-05 1.278701e-05 1.646148e-05 1.571139e-05 1.557205e-05 #>   [840,] 1.326393e-05 1.251459e-05 1.620979e-05 1.525001e-05 1.590906e-05 #>   [841,] 2.852319e-05 2.652569e-05 4.607266e-05 5.475246e-05 4.818673e-05 #>   [842,] 2.129074e-05 2.925898e-05 2.239741e-05 1.908602e-05 2.703343e-05 #>   [843,] 2.603266e-05 3.226349e-05 4.073226e-05 4.083899e-05 6.040440e-05 #>   [844,] 5.245621e-05 3.290803e-05 3.687203e-05 3.486594e-05 3.236956e-05 #>   [845,] 1.324461e-05 1.234360e-05 1.421292e-05 1.552181e-05 1.588796e-05 #>   [846,] 1.751439e-05 1.712773e-05 2.583164e-05 2.483730e-05 2.808877e-05 #>   [847,] 1.414626e-05 1.152651e-05 1.297546e-05 1.540174e-05 1.195700e-05 #>   [848,] 1.219962e-05 1.168578e-05 1.274044e-05 1.458660e-05 1.512554e-05 #>   [849,] 4.874002e-04 4.910863e-04 2.948823e-04 3.395093e-04 4.324563e-04 #>   [850,] 1.915430e-05 1.827258e-05 2.045197e-05 1.923355e-05 1.913693e-05 #>   [851,] 1.204934e-05 1.254611e-05 1.343182e-05 1.344230e-05 1.294616e-05 #>   [852,] 1.326775e-05 1.400769e-05 1.448046e-05 1.538993e-05 1.480930e-05 #>   [853,] 1.633311e-05 1.782870e-05 1.716131e-05 1.701721e-05 1.728218e-05 #>   [854,] 2.459377e-05 3.187174e-05 7.745706e-05 7.344583e-05 5.889688e-05 #>   [855,] 1.371309e-05 1.279042e-05 1.400835e-05 1.679755e-05 1.817345e-05 #>   [856,] 1.732829e-05 1.754004e-05 1.786142e-05 1.979906e-05 2.137721e-05 #>   [857,] 1.451808e-05 1.358881e-05 1.536433e-05 1.545964e-05 1.466200e-05 #>   [858,] 1.683946e-05 1.487600e-05 1.683726e-05 1.760280e-05 1.665981e-05 #>   [859,] 2.653132e-05 1.602996e-05 2.131945e-05 1.748918e-05 1.677976e-05 #>   [860,] 1.275883e-05 1.155055e-05 1.176920e-05 1.181264e-05 1.145221e-05 #>   [861,] 1.862544e-05 1.852539e-05 1.708943e-05 1.812011e-05 1.794879e-05 #>   [862,] 8.178146e-05 1.253336e-04 9.590480e-05 7.235249e-05 4.284563e-05 #>   [863,] 1.518548e-05 1.330309e-05 1.911243e-05 1.554979e-05 1.570476e-05 #>   [864,] 2.046116e-04 1.524105e-04 7.604262e-05 1.002798e-04 9.177024e-05 #>   [865,] 1.502274e-05 1.509295e-05 1.619885e-05 1.704770e-05 1.903437e-05 #>   [866,] 1.478692e-05 1.300581e-05 1.408309e-05 1.533362e-05 1.419572e-05 #>   [867,] 1.331502e-05 1.289784e-05 1.478990e-05 1.843712e-05 1.869727e-05 #>   [868,] 1.387967e-05 1.796981e-05 2.375272e-05 1.694286e-05 1.689361e-05 #>   [869,] 4.499471e-05 8.551125e-05 2.168557e-04 1.924929e-04 1.512627e-04 #>   [870,] 1.566680e-05 1.647952e-05 1.845362e-05 1.918228e-05 1.900628e-05 #>   [871,] 1.675189e-05 1.963354e-05 2.678145e-05 1.933874e-05 2.188720e-05 #>   [872,] 1.881887e-05 4.268190e-05 2.905113e-05 2.011467e-05 1.819584e-05 #>   [873,] 1.880111e-05 2.318382e-05 2.006894e-05 2.295240e-05 2.131033e-05 #>   [874,] 1.850388e-05 1.580540e-05 1.635956e-05 2.000205e-05 1.988338e-05 #>   [875,] 1.481522e-05 1.516295e-05 1.681079e-05 1.558359e-05 1.607522e-05 #>   [876,] 6.944301e-05 8.659987e-05 2.973766e-05 2.879288e-05 3.353510e-05 #>   [877,] 1.733147e-05 1.720851e-05 2.008085e-05 2.022976e-05 1.958974e-05 #>   [878,] 1.283599e-05 1.839489e-05 1.265541e-05 1.223290e-05 1.229604e-05 #>   [879,] 1.275884e-05 1.304380e-05 1.437419e-05 1.428802e-05 1.406627e-05 #>   [880,] 1.360706e-05 1.236264e-05 1.342042e-05 1.681919e-05 1.733601e-05 #>   [881,] 1.768427e-04 1.554301e-04 1.510705e-04 1.083271e-04 7.405492e-05 #>   [882,] 1.429541e-05 1.811918e-05 2.401675e-05 1.719881e-05 1.662893e-05 #>   [883,] 1.293205e-05 1.129088e-05 1.132342e-05 1.317412e-05 1.270010e-05 #>   [884,] 1.514264e-05 1.477996e-05 1.350398e-05 1.678981e-05 2.022165e-05 #>   [885,] 4.928516e-05 5.340435e-05 4.009305e-05 4.704476e-05 5.808611e-05 #>   [886,] 1.384985e-05 1.222800e-05 1.263143e-05 1.547058e-05 1.519326e-05 #>   [887,] 8.157787e-05 9.030934e-05 2.105661e-04 2.032900e-04 2.223216e-04 #>   [888,] 1.615448e-05 1.317387e-05 1.394607e-05 1.463489e-05 1.364835e-05 #>   [889,] 1.592967e-05 1.327535e-05 1.341909e-05 1.618432e-05 1.330817e-05 #>   [890,] 1.497638e-05 1.555339e-05 2.254207e-05 2.499216e-05 2.257644e-05 #>   [891,] 1.516596e-05 1.437735e-05 1.594290e-05 1.751962e-05 1.729786e-05 #>   [892,] 1.568258e-05 1.529317e-05 1.562331e-05 1.572998e-05 1.385409e-05 #>   [893,] 1.195898e-05 1.182110e-05 1.239110e-05 1.306707e-05 1.344047e-05 #>   [894,] 1.305635e-05 1.363756e-05 1.485256e-05 1.574460e-05 1.559067e-05 #>   [895,] 1.692257e-05 1.678545e-05 1.863404e-05 1.541639e-05 1.469781e-05 #>   [896,] 1.554049e-05 1.787678e-05 1.601786e-05 1.614149e-05 1.981587e-05 #>   [897,] 1.274261e-05 1.173695e-05 1.218562e-05 1.349096e-05 1.263361e-05 #>   [898,] 4.374149e-05 4.797315e-05 4.617215e-05 4.531975e-05 3.719006e-05 #>   [899,] 5.071787e-05 1.055443e-04 9.772697e-05 7.267655e-05 6.116073e-05 #>   [900,] 1.370214e-05 1.706823e-05 1.789946e-05 1.359801e-05 1.558127e-05 #>   [901,] 2.379291e-05 2.256332e-05 2.725268e-05 3.235498e-05 3.531843e-05 #>   [902,] 1.499836e-05 1.490980e-05 1.731825e-05 1.906612e-05 1.883898e-05 #>   [903,] 1.312460e-05 1.207046e-05 1.176522e-05 1.348240e-05 1.270658e-05 #>   [904,] 1.670185e-05 1.428626e-05 1.470456e-05 1.738521e-05 1.640022e-05 #>   [905,] 1.990497e-05 1.816987e-05 1.819505e-05 2.474800e-05 2.546187e-05 #>   [906,] 1.601895e-05 1.474699e-05 1.647665e-05 1.676077e-05 1.543918e-05 #>   [907,] 5.826951e-05 4.654824e-05 3.183884e-05 3.308945e-05 3.516791e-05 #>   [908,] 1.639307e-05 1.518261e-05 1.755517e-05 1.857901e-05 1.702373e-05 #>   [909,] 1.866564e-05 1.786606e-05 1.882611e-05 1.871724e-05 1.742521e-05 #>   [910,] 1.415987e-05 1.442319e-05 1.349958e-05 1.498077e-05 1.425889e-05 #>   [911,] 1.379428e-05 1.589293e-05 2.174820e-05 1.975232e-05 1.932769e-05 #>   [912,] 1.510828e-05 1.531934e-05 1.809062e-05 1.738670e-05 1.651234e-05 #>   [913,] 1.423113e-05 1.283321e-05 1.196986e-05 1.317923e-05 1.201938e-05 #>   [914,] 1.494901e-05 1.414941e-05 1.547316e-05 1.636854e-05 1.483205e-05 #>   [915,] 1.686012e-05 1.982901e-05 2.145981e-05 2.144461e-05 1.857790e-05 #>   [916,] 1.210465e-05 1.259572e-05 1.308902e-05 1.223652e-05 1.151339e-05 #>   [917,] 1.363788e-05 1.209644e-05 1.292680e-05 1.368331e-05 1.445475e-05 #>   [918,] 1.203901e-05 1.117739e-05 1.264591e-05 1.366704e-05 1.377776e-05 #>   [919,] 2.111233e-05 1.721227e-05 1.241967e-05 1.549184e-05 1.402855e-05 #>   [920,] 3.865242e-04 3.321024e-04 3.022561e-04 3.476109e-04 3.405567e-04 #>   [921,] 2.604556e-05 2.664810e-05 6.483737e-05 6.883608e-05 6.715739e-05 #>   [922,] 5.295653e-04 4.393622e-04 4.529108e-04 3.770122e-04 3.938597e-04 #>   [923,] 3.404286e-05 4.127187e-05 5.577670e-05 4.327236e-05 5.850136e-05 #>   [924,] 2.829171e-04 2.820929e-04 3.678124e-04 4.056853e-04 3.366204e-04 #>   [925,] 4.371158e-05 5.279236e-05 1.001320e-04 1.107702e-04 1.205248e-04 #>   [926,] 6.887202e-05 7.574714e-05 1.406488e-04 1.379911e-04 1.312567e-04 #>   [927,] 1.676124e-05 1.867629e-05 2.500367e-05 2.144413e-05 2.089722e-05 #>   [928,] 1.207739e-05 1.238682e-05 1.283819e-05 1.324934e-05 1.219264e-05 #>   [929,] 1.333597e-05 1.265867e-05 1.252197e-05 1.267583e-05 1.175119e-05 #>   [930,] 2.865686e-05 3.451790e-05 4.899330e-05 4.168368e-05 4.254888e-05 #>   [931,] 1.374387e-05 1.384849e-05 1.578584e-05 1.592302e-05 1.662253e-05 #>   [932,] 8.767748e-05 9.188009e-05 1.808927e-04 1.595280e-04 1.460382e-04 #>   [933,] 1.805712e-05 1.862222e-05 1.754664e-05 1.631493e-05 1.938204e-05 #>   [934,] 1.552932e-05 1.882293e-05 2.218532e-05 2.121893e-05 1.961402e-05 #>   [935,] 1.461222e-05 1.395244e-05 1.713721e-05 1.708317e-05 1.727338e-05 #>   [936,] 2.710447e-05 2.963136e-05 2.255802e-05 2.269105e-05 2.433755e-05 #>   [937,] 1.320772e-05 1.404792e-05 1.981705e-05 2.358784e-05 2.960211e-05 #>   [938,] 1.400124e-05 1.274618e-05 1.212259e-05 1.224750e-05 1.204400e-05 #>   [939,] 1.499854e-05 1.679684e-05 1.917673e-05 1.920345e-05 1.790392e-05 #>   [940,] 1.496541e-05 1.430717e-05 1.306385e-05 1.281405e-05 1.274817e-05 #>   [941,] 1.367514e-05 1.329440e-05 1.387335e-05 1.508657e-05 1.606192e-05 #>   [942,] 1.304399e-05 1.423981e-05 1.611945e-05 1.494490e-05 1.482615e-05 #>   [943,] 1.417235e-05 1.292271e-05 1.229433e-05 1.347780e-05 1.287697e-05 #>   [944,] 1.285319e-05 1.234678e-05 1.281103e-05 1.393495e-05 1.496037e-05 #>   [945,] 2.675834e-05 2.048830e-05 1.658848e-05 1.722399e-05 1.731516e-05 #>   [946,] 1.321865e-05 1.387916e-05 1.580379e-05 1.459666e-05 1.455205e-05 #>   [947,] 1.256859e-05 1.238243e-05 1.561048e-05 1.626955e-05 1.470121e-05 #>   [948,] 2.073544e-05 2.691514e-05 4.148975e-05 2.984845e-05 2.298828e-05 #>   [949,] 1.205978e-05 1.122324e-05 1.252419e-05 1.328813e-05 1.326227e-05 #>   [950,] 1.253811e-05 1.211050e-05 1.457532e-05 1.596731e-05 1.513377e-05 #>   [951,] 1.558956e-05 1.761616e-05 1.853809e-05 1.826907e-05 1.779233e-05 #>   [952,] 1.303736e-05 1.417874e-05 1.601198e-05 1.553288e-05 1.821797e-05 #>   [953,] 1.716981e-05 1.430016e-05 2.007617e-05 1.536426e-05 1.604568e-05 #>   [954,] 1.123329e-05 1.027360e-05 1.081681e-05 1.136433e-05 1.024667e-05 #>   [955,] 1.180462e-05 1.058324e-05 1.200494e-05 1.341538e-05 1.289585e-05 #>   [956,] 6.114769e-05 5.850486e-05 3.077710e-05 3.066098e-05 3.004795e-05 #>   [957,] 1.450575e-05 1.649242e-05 1.722273e-05 1.671270e-05 1.745906e-05 #>   [958,] 9.608860e-05 1.435857e-04 1.236663e-04 1.427714e-04 1.233115e-04 #>   [959,] 1.368168e-05 1.436639e-05 1.553892e-05 1.584736e-05 1.715483e-05 #>   [960,] 1.406263e-05 1.458086e-05 1.956644e-05 1.965739e-05 1.655186e-05 #>   [961,] 1.935661e-05 2.152115e-05 3.615322e-05 3.019389e-05 2.689356e-05 #>   [962,] 4.025705e-05 3.511128e-05 3.384673e-05 4.356343e-05 4.761118e-05 #>   [963,] 1.425830e-05 1.494776e-05 1.762967e-05 1.599135e-05 1.585062e-05 #>   [964,] 1.669389e-05 1.839968e-05 1.857061e-05 1.937666e-05 1.978502e-05 #>   [965,] 3.875991e-05 8.196893e-05 1.483707e-04 1.195691e-04 9.629182e-05 #>   [966,] 1.121269e-03 1.034642e-03 1.146230e-03 1.138625e-03 1.052780e-03 #>   [967,] 2.592487e-05 2.232992e-05 2.310656e-05 2.256805e-05 1.906381e-05 #>   [968,] 1.758757e-05 2.414876e-05 4.071408e-05 2.702373e-05 2.388556e-05 #>   [969,] 1.345232e-05 1.911833e-05 2.486946e-05 1.714393e-05 1.715427e-05 #>   [970,] 1.129944e-05 1.178832e-05 1.152193e-05 1.142640e-05 1.140828e-05 #>   [971,] 1.228479e-05 1.186391e-05 1.256381e-05 1.316262e-05 1.322417e-05 #>   [972,] 1.717159e-05 1.587048e-05 1.803883e-05 1.871589e-05 1.968636e-05 #>   [973,] 1.446463e-05 1.506077e-05 1.639864e-05 1.503035e-05 1.528272e-05 #>   [974,] 1.667690e-05 1.861241e-05 2.253707e-05 1.885574e-05 1.943428e-05 #>   [975,] 1.281472e-05 1.184121e-05 1.239926e-05 1.439103e-05 1.476777e-05 #>   [976,] 1.883764e-04 9.095799e-05 3.781738e-05 3.262800e-05 1.985783e-05 #>   [977,] 1.537505e-05 1.648774e-05 2.307753e-05 1.741637e-05 1.774803e-05 #>   [978,] 1.384683e-05 1.211956e-05 1.324053e-05 1.448890e-05 1.342141e-05 #>   [979,] 1.601517e-05 1.373629e-05 1.394769e-05 1.699814e-05 1.527269e-05 #>   [980,] 1.749628e-05 1.645228e-05 2.854998e-05 2.710086e-05 5.613262e-05 #>   [981,] 1.778743e-05 1.734996e-05 2.165594e-05 2.064174e-05 1.884513e-05 #>   [982,] 1.271204e-05 1.111235e-05 1.174169e-05 1.193805e-05 1.060971e-05 #>   [983,] 1.498016e-05 1.341455e-05 1.978012e-05 1.646314e-05 1.481982e-05 #>   [984,] 1.692218e-05 1.719419e-05 1.973970e-05 1.827681e-05 1.819414e-05 #>   [985,] 1.370733e-04 9.635682e-04 2.017831e-04 1.104169e-04 5.503212e-04 #>   [986,] 1.318889e-05 1.203874e-05 1.400012e-05 1.585834e-05 1.477316e-05 #>   [987,] 2.875057e-05 6.330561e-05 3.136265e-05 2.178726e-05 1.949690e-05 #>   [988,] 3.436518e-04 3.613246e-04 2.989630e-04 3.122112e-04 3.316725e-04 #>   [989,] 1.379736e-04 8.831212e-05 9.729761e-05 7.252553e-05 6.666213e-05 #>   [990,] 1.512636e-05 1.411216e-05 1.762719e-05 1.652873e-05 1.553011e-05 #>   [991,] 1.644628e-05 1.844911e-05 1.449979e-05 1.593046e-05 1.685085e-05 #>   [992,] 1.346873e-05 1.314790e-05 1.410364e-05 1.532270e-05 1.540786e-05 #>   [993,] 1.156129e-05 1.261247e-05 1.503354e-05 1.555649e-05 1.541594e-05 #>   [994,] 1.495296e-05 1.431603e-05 1.458953e-05 1.631499e-05 1.668166e-05 #>   [995,] 1.586950e-05 1.535979e-05 1.567581e-05 1.731754e-05 1.627075e-05 #>   [996,] 3.461650e-05 2.511081e-05 2.503959e-05 2.542332e-05 2.583319e-05 #>   [997,] 1.312933e-05 1.223000e-05 1.196021e-05 1.390640e-05 1.272445e-05 #>   [998,] 2.820594e-05 2.085758e-05 2.772014e-05 3.134434e-05 2.742573e-05 #>   [999,] 1.482741e-05 1.430536e-05 1.504403e-05 1.683515e-05 1.612092e-05 #>  [1000,] 1.200122e-05 1.236311e-05 1.192003e-05 1.273468e-05 1.261234e-05 #>  [1001,] 3.987973e-05 3.175029e-05 3.905937e-05 3.533753e-05 5.712197e-05 #>  [1002,] 1.828314e-05 2.154335e-05 3.061450e-05 2.091946e-05 2.116638e-05 #>  [1003,] 3.288365e-05 3.736906e-05 3.183067e-05 2.684082e-05 2.764268e-05 #>  [1004,] 1.596366e-05 1.499183e-05 1.622732e-05 2.097805e-05 2.590452e-05 #>  [1005,] 2.179199e-05 2.185844e-05 4.985843e-05 5.628961e-05 4.061178e-05 #>  [1006,] 1.420842e-05 1.341759e-05 1.433241e-05 1.543717e-05 1.507073e-05 #>  [1007,] 4.945311e-05 2.794959e-05 4.017276e-05 4.219074e-05 5.400813e-05 #>  [1008,] 2.295347e-05 2.056704e-05 2.772791e-05 2.753763e-05 2.829022e-05 #>  [1009,] 1.214696e-05 1.228034e-05 1.282502e-05 1.368089e-05 1.346916e-05 #>  [1010,] 1.913903e-05 1.979560e-05 2.309904e-05 2.106255e-05 2.032632e-05 #>  [1011,] 1.383766e-05 1.223201e-05 1.512966e-05 1.620850e-05 1.541888e-05 #>  [1012,] 1.777597e-05 1.462356e-05 1.909183e-05 1.848916e-05 1.936283e-05 #>  [1013,] 1.574823e-05 1.443652e-05 1.749113e-05 1.722402e-05 1.807789e-05 #>  [1014,] 1.557414e-05 1.967789e-05 2.687267e-05 2.238464e-05 2.319151e-05 #>  [1015,] 1.664229e-05 1.407773e-05 1.303967e-05 1.455185e-05 1.400429e-05 #>  [1016,] 1.283463e-05 1.177879e-05 1.300660e-05 1.300572e-05 1.257054e-05 #>  [1017,] 1.421150e-05 1.572300e-05 1.798383e-05 1.738817e-05 1.689822e-05 #>  [1018,] 1.372989e-05 1.661963e-05 1.369434e-05 1.385008e-05 1.410775e-05 #>  [1019,] 1.165611e-05 1.183689e-05 1.402052e-05 1.386591e-05 1.677341e-05 #>  [1020,] 1.560207e-05 1.407321e-05 1.610696e-05 1.719949e-05 1.740198e-05 #>  [1021,] 1.463026e-05 1.562524e-05 1.532855e-05 1.557380e-05 1.471162e-05 #>  [1022,] 3.319710e-05 2.516438e-05 2.354915e-05 3.161719e-05 3.694127e-05 #>  [1023,] 1.633086e-05 1.386368e-05 1.647425e-05 1.738501e-05 1.758621e-05 #>  [1024,] 1.583082e-05 1.618836e-05 1.934414e-05 2.005196e-05 2.114428e-05 #>  [1025,] 1.435004e-05 1.540223e-05 1.586091e-05 1.953916e-05 2.347200e-05 #>  [1026,] 2.017357e-05 2.269417e-05 1.621250e-05 1.779743e-05 1.816880e-05 #>  [1027,] 1.431828e-05 1.432515e-05 1.535181e-05 1.621344e-05 1.619840e-05 #>  [1028,] 5.114800e-05 5.410309e-05 6.263729e-05 5.376962e-05 5.259113e-05 #>  [1029,] 1.707581e-05 1.587413e-05 1.547201e-05 1.725122e-05 1.786024e-05 #>  [1030,] 1.326846e-05 1.381207e-05 1.467207e-05 1.529777e-05 1.608476e-05 #>  [1031,] 2.224426e-05 3.239946e-05 2.267019e-05 1.938956e-05 1.840679e-05 #>  [1032,] 1.591872e-05 1.598576e-05 1.563426e-05 1.609228e-05 1.575428e-05 #>  [1033,] 1.316791e-05 1.503819e-05 1.375809e-05 1.370223e-05 1.367655e-05 #>  [1034,] 3.414928e-05 3.067778e-05 2.798898e-05 2.890143e-05 3.044311e-05 #>  [1035,] 1.555948e-05 1.428286e-05 1.474703e-05 1.627438e-05 1.699075e-05 #>  [1036,] 1.905996e-05 1.964331e-05 3.021771e-05 2.927185e-05 3.085463e-05 #>  [1037,] 1.555152e-05 1.906745e-05 1.503908e-05 1.581059e-05 1.534450e-05 #>  [1038,] 3.022494e-05 3.033401e-05 7.413521e-05 3.245468e-05 1.564707e-05 #>  [1039,] 2.162911e-05 2.377102e-05 1.820862e-05 1.905736e-05 1.748361e-05 #>  [1040,] 1.561838e-05 1.654900e-05 1.851794e-05 1.712265e-05 1.654891e-05 #>  [1041,] 1.364616e-05 1.215534e-05 1.353908e-05 1.459551e-05 1.300408e-05 #>  [1042,] 1.421283e-05 1.354524e-05 1.463551e-05 1.496486e-05 1.550815e-05 #>  [1043,] 3.033958e-05 2.864361e-05 4.245827e-05 4.662351e-05 3.363117e-05 #>  [1044,] 1.784150e-05 1.761840e-05 2.312213e-05 1.798874e-05 1.723551e-05 #>  [1045,] 1.756195e-05 2.391289e-05 2.306770e-05 2.013972e-05 2.377450e-05 #>  [1046,] 1.248468e-05 1.364160e-05 1.362009e-05 1.382128e-05 1.360861e-05 #>  [1047,] 1.268345e-05 1.078256e-05 1.229262e-05 1.368424e-05 1.389702e-05 #>  [1048,] 3.400916e-05 2.777903e-05 3.926303e-05 4.066436e-05 3.212345e-05 #>  [1049,] 1.747525e-05 1.699631e-05 1.554484e-05 2.102768e-05 1.867559e-05 #>  [1050,] 3.494131e-05 3.529057e-05 8.357007e-05 9.326281e-05 7.554762e-05 #>  [1051,] 3.082918e-04 3.685912e-04 4.954488e-04 4.114523e-04 2.415389e-04 #>  [1052,] 1.732876e-05 1.732883e-05 1.890464e-05 2.024210e-05 1.815131e-05 #>  [1053,] 1.201487e-05 1.277793e-05 1.311636e-05 1.316472e-05 1.372730e-05 #>  [1054,] 1.321460e-05 1.337416e-05 1.358672e-05 1.389820e-05 1.409546e-05 #>  [1055,] 1.474322e-05 1.456520e-05 1.407569e-05 1.619321e-05 1.703407e-05 #>  [1056,] 1.356713e-05 1.373159e-05 1.529007e-05 1.469855e-05 1.456274e-05 #>  [1057,] 1.862757e-05 1.979582e-05 2.025094e-05 2.091919e-05 1.856334e-05 #>  [1058,] 1.413112e-05 1.480140e-05 1.687268e-05 1.796587e-05 1.736855e-05 #>  [1059,] 2.095110e-05 2.662847e-05 3.128027e-05 2.391243e-05 2.487389e-05 #>  [1060,] 3.928238e-04 4.280519e-04 7.106600e-04 7.804621e-04 1.143198e-03 #>  [1061,] 2.108257e-04 8.274899e-05 8.366356e-05 9.311854e-05 8.643415e-05 #>  [1062,] 5.874100e-05 3.918928e-05 3.936319e-05 3.775478e-05 4.447083e-05 #>  [1063,] 1.311325e-05 1.247703e-05 1.247294e-05 1.399502e-05 1.263026e-05 #>  [1064,] 1.368875e-05 1.417655e-05 1.368178e-05 1.420502e-05 1.351431e-05 #>  [1065,] 1.507377e-05 1.598665e-05 1.776243e-05 1.887380e-05 1.787363e-05 #>  [1066,] 1.434505e-05 1.354700e-05 1.278835e-05 1.438863e-05 1.301474e-05 #>  [1067,] 1.154601e-05 1.114227e-05 1.300879e-05 1.230864e-05 1.076676e-05 #>  [1068,] 1.334053e-05 1.543163e-05 2.287490e-05 1.869302e-05 1.812618e-05 #>  [1069,] 1.667839e-05 1.777339e-05 1.992667e-05 1.824920e-05 1.924149e-05 #>  [1070,] 1.845175e-05 1.842864e-05 2.089568e-05 2.102048e-05 2.503827e-05 #>  [1071,] 1.838918e-05 1.707389e-05 1.490340e-05 1.536282e-05 1.450736e-05 #>  [1072,] 1.599193e-05 1.531063e-05 1.919832e-05 2.009612e-05 1.849592e-05 #>  [1073,] 1.579293e-05 1.523055e-05 1.663696e-05 1.826216e-05 1.584712e-05 #>  [1074,] 1.387660e-05 1.492668e-05 1.828081e-05 1.725694e-05 1.649723e-05 #>  [1075,] 1.277712e-05 1.273187e-05 1.370401e-05 1.320108e-05 1.354790e-05 #>  [1076,] 1.549019e-05 1.604661e-05 1.714128e-05 1.732560e-05 1.529447e-05 #>  [1077,] 1.469010e-05 1.734207e-05 1.856779e-05 1.878926e-05 1.829636e-05 #>  [1078,] 1.307112e-05 1.236268e-05 1.490534e-05 1.470941e-05 1.473542e-05 #>  [1079,] 1.968902e-05 1.701817e-05 2.603819e-05 2.252998e-05 2.231014e-05 #>  [1080,] 1.074155e-05 1.149896e-05 1.155868e-05 1.124322e-05 1.044620e-05 #>  [1081,] 1.286802e-05 1.148447e-05 1.260632e-05 1.381265e-05 1.302817e-05 #>  [1082,] 1.439999e-05 1.452755e-05 1.600024e-05 1.604130e-05 1.652603e-05 #>  [1083,] 1.394182e-05 1.310705e-05 1.567069e-05 1.491165e-05 1.602066e-05 #>  [1084,] 1.304938e-05 1.431463e-05 1.582207e-05 1.503274e-05 1.520412e-05 #>  [1085,] 1.257480e-05 1.244689e-05 1.490189e-05 1.548116e-05 1.659475e-05 #>  [1086,] 2.014456e-05 1.535826e-05 2.675604e-05 2.598292e-05 2.971431e-05 #>  [1087,] 6.918622e-05 6.839284e-05 7.398577e-05 9.118013e-05 7.698071e-05 #>  [1088,] 1.621305e-05 1.881579e-05 2.954715e-05 2.189459e-05 1.883198e-05 #>  [1089,] 1.403997e-05 1.414407e-05 1.661994e-05 1.834452e-05 1.676932e-05 #>  [1090,] 1.556382e-05 1.515800e-05 1.533270e-05 1.622851e-05 1.828775e-05 #>  [1091,] 2.826652e-05 4.223957e-05 4.191999e-05 4.042447e-05 4.058754e-05 #>  [1092,] 1.305816e-05 1.287166e-05 1.308878e-05 1.330358e-05 1.362338e-05 #>  [1093,] 1.337455e-05 1.244194e-05 1.265095e-05 1.545442e-05 1.642487e-05 #>  [1094,] 1.487372e-05 1.432990e-05 1.547966e-05 1.618854e-05 1.491877e-05 #>  [1095,] 1.332909e-05 1.208712e-05 1.149363e-05 1.151961e-05 1.204489e-05 #>  [1096,] 1.223050e-05 1.323611e-05 1.515385e-05 1.466048e-05 1.449979e-05 #>  [1097,] 1.267516e-04 1.684234e-04 4.891732e-04 5.182574e-04 9.219959e-04 #>  [1098,] 6.263516e-04 6.455617e-04 2.703889e-04 2.841984e-04 3.631928e-04 #>  [1099,] 2.124088e-04 2.739110e-04 1.916888e-04 1.697963e-04 1.221304e-04 #>  [1100,] 1.395726e-05 1.305881e-05 1.398063e-05 1.662246e-05 1.697926e-05 #>  [1101,] 2.659592e-05 3.002784e-05 3.340708e-05 3.005939e-05 4.342267e-05 #>  [1102,] 2.374204e-05 2.578601e-05 1.491119e-05 1.503561e-05 1.497757e-05 #>  [1103,] 1.246863e-05 1.617615e-05 2.073431e-05 1.725112e-05 1.623954e-05 #>  [1104,] 2.251392e-05 2.654798e-05 2.304280e-05 1.950307e-05 1.921024e-05 #>  [1105,] 1.318574e-05 1.272178e-05 1.259241e-05 1.406333e-05 1.390778e-05 #>  [1106,] 1.521183e-05 1.380130e-05 1.516578e-05 1.688752e-05 1.763080e-05 #>  [1107,] 1.395710e-05 1.319179e-05 1.529731e-05 1.516285e-05 1.406615e-05 #>  [1108,] 1.257986e-05 1.345519e-05 1.502837e-05 1.437114e-05 1.411908e-05 #>  [1109,] 2.272152e-05 2.175014e-05 2.850365e-05 3.067035e-05 3.009825e-05 #>  [1110,] 1.778606e-05 2.087754e-05 2.509269e-05 2.820006e-05 4.013736e-05 #>  [1111,] 7.240775e-05 8.711979e-05 1.046620e-04 8.801398e-05 1.260013e-04 #>  [1112,] 2.238040e-05 2.900076e-05 5.367691e-05 4.021798e-05 4.742220e-05 #>  [1113,] 1.273319e-05 1.329929e-05 1.294677e-05 1.415594e-05 1.325421e-05 #>  [1114,] 1.498942e-05 1.648068e-05 1.624594e-05 1.625507e-05 1.829050e-05 #>  [1115,] 1.448289e-05 1.421786e-05 1.519841e-05 1.568234e-05 1.564385e-05 #>  [1116,] 1.105269e-04 7.653137e-05 5.037809e-05 4.735905e-05 6.196628e-05 #>  [1117,] 1.750914e-05 1.759482e-05 2.039557e-05 2.048030e-05 2.185633e-05 #>  [1118,] 1.540002e-05 1.562964e-05 1.415813e-05 1.577238e-05 1.639044e-05 #>  [1119,] 2.051650e-05 1.917090e-05 2.776491e-05 2.467129e-05 3.136225e-05 #>  [1120,] 1.622608e-05 2.304109e-05 3.881497e-05 3.700648e-05 7.032241e-05 #>  [1121,] 2.079149e-05 2.412382e-05 1.712858e-05 2.019900e-05 2.420679e-05 #>  [1122,] 1.826152e-05 1.752888e-05 1.450572e-05 1.693123e-05 2.190068e-05 #>  [1123,] 1.572156e-05 1.446102e-05 1.565662e-05 1.689166e-05 1.634841e-05 #>  [1124,] 4.297930e-04 2.236756e-04 5.189410e-05 4.923950e-05 1.996403e-05 #>  [1125,] 1.767810e-05 2.032150e-05 1.869914e-05 2.019042e-05 1.915144e-05 #>  [1126,] 2.281763e-05 3.564577e-05 7.565332e-05 5.898724e-05 5.204878e-05 #>  [1127,] 1.216031e-05 1.372701e-05 1.416965e-05 1.377776e-05 1.789246e-05 #>  [1128,] 1.979584e-05 1.764600e-05 2.836639e-05 3.630404e-05 5.005549e-05 #>  [1129,] 1.355874e-05 1.334407e-05 1.387353e-05 1.430498e-05 1.437004e-05 #>  [1130,] 1.233783e-05 1.274145e-05 1.233108e-05 1.285489e-05 1.221604e-05 #>  [1131,] 1.267974e-05 1.279451e-05 1.294103e-05 1.378401e-05 1.322433e-05 #>  [1132,] 3.103956e-05 4.257186e-05 2.517369e-05 2.963370e-05 3.527153e-05 #>  [1133,] 1.402185e-05 1.594067e-05 2.188149e-05 1.818786e-05 1.842458e-05 #>  [1134,] 1.293988e-05 1.294518e-05 1.218132e-05 1.324577e-05 1.268357e-05 #>  [1135,] 7.181971e-05 5.354680e-05 3.460863e-05 8.951424e-05 1.858719e-04 #>  [1136,] 1.569665e-05 1.443855e-05 1.647162e-05 1.810396e-05 1.993407e-05 #>  [1137,] 2.115133e-05 1.681918e-05 2.101718e-05 2.092162e-05 1.998906e-05 #>  [1138,] 1.450311e-05 1.476947e-05 1.636036e-05 1.665083e-05 1.770353e-05 #>  [1139,] 1.283676e-05 1.374934e-05 1.199626e-05 1.289734e-05 1.350774e-05 #>  [1140,] 1.727603e-05 1.693074e-05 1.402953e-05 1.460062e-05 1.574703e-05 #>  [1141,] 1.570680e-05 1.808800e-05 2.130663e-05 2.107707e-05 1.851069e-05 #>  [1142,] 1.212856e-05 1.158747e-05 1.206123e-05 1.251625e-05 1.136444e-05 #>  [1143,] 1.600408e-05 1.519579e-05 1.624531e-05 1.867569e-05 1.950465e-05 #>  [1144,] 2.109785e-05 2.949049e-05 3.329504e-05 6.453413e-05 1.285882e-04 #>  [1145,] 1.225507e-05 1.456467e-05 1.877094e-05 1.469390e-05 1.506895e-05 #>  [1146,] 1.344502e-05 1.385132e-05 1.269974e-05 1.243251e-05 1.313285e-05 #>  [1147,] 1.301400e-05 1.360963e-05 1.433788e-05 1.499155e-05 1.477839e-05 #>  [1148,] 1.558041e-05 1.805545e-05 2.679302e-05 3.658075e-05 6.924482e-05 #>  [1149,] 1.481327e-05 1.428868e-05 1.373693e-05 1.343688e-05 1.268996e-05 #>  [1150,] 1.956084e-05 2.225762e-05 3.083392e-05 2.608530e-05 2.017584e-05 #>  [1151,] 1.453182e-05 1.453641e-05 1.688027e-05 1.864170e-05 1.683394e-05 #>  [1152,] 1.980932e-05 2.229221e-05 2.708218e-05 2.824621e-05 2.514914e-05 #>  [1153,] 1.674342e-05 1.606456e-05 1.458610e-05 1.582113e-05 1.371132e-05 #>  [1154,] 1.522708e-04 4.904294e-04 3.855575e-04 2.640758e-04 3.891082e-04 #>  [1155,] 9.226837e-04 9.320149e-04 1.158187e-03 1.032209e-03 1.032478e-03 #>  [1156,] 1.439126e-05 1.457972e-05 1.652621e-05 1.598512e-05 1.652364e-05 #>  [1157,] 1.951218e-05 1.815494e-05 2.002051e-05 2.228293e-05 2.287716e-05 #>  [1158,] 1.568180e-05 1.692602e-05 2.241465e-05 2.462825e-05 2.062393e-05 #>  [1159,] 1.759446e-05 1.729441e-05 1.363462e-05 1.456063e-05 1.515643e-05 #>  [1160,] 1.440940e-05 1.367277e-05 1.572835e-05 1.692590e-05 1.615821e-05 #>  [1161,] 1.435665e-05 1.543085e-05 1.764291e-05 1.844715e-05 1.634193e-05 #>  [1162,] 1.882038e-05 1.919702e-05 2.425801e-05 2.439740e-05 2.106190e-05 #>  [1163,] 1.293507e-05 1.288585e-05 1.390418e-05 1.520481e-05 1.645940e-05 #>  [1164,] 2.515991e-05 1.687868e-05 1.859417e-05 1.739967e-05 1.752976e-05 #>  [1165,] 1.753164e-05 1.427007e-05 1.767631e-05 2.099973e-05 2.951020e-05 #>  [1166,] 1.375723e-05 1.389815e-05 1.282486e-05 1.360594e-05 1.376391e-05 #>  [1167,] 2.138482e-05 2.290252e-05 2.110721e-05 2.123060e-05 1.887531e-05 #>  [1168,] 1.729060e-05 1.657731e-05 1.888841e-05 2.019684e-05 1.811748e-05 #>  [1169,] 1.550677e-05 1.673770e-05 1.860994e-05 1.870714e-05 1.783053e-05 #>  [1170,] 1.630137e-05 1.934121e-05 2.289108e-05 2.092123e-05 1.857961e-05 #>  [1171,] 1.366193e-05 1.380089e-05 1.389507e-05 1.411983e-05 1.375885e-05 #>  [1172,] 1.421233e-05 1.560164e-05 2.531944e-05 1.811744e-05 2.038309e-05 #>  [1173,] 1.118906e-05 1.149387e-05 1.143062e-05 1.145002e-05 1.076935e-05 #>  [1174,] 1.438964e-05 1.335266e-05 1.350949e-05 1.438480e-05 1.434468e-05 #>  [1175,] 1.868413e-05 1.927192e-05 3.076487e-05 2.128269e-05 1.950038e-05 #>  [1176,] 1.274229e-05 1.267706e-05 1.254284e-05 1.306967e-05 1.365917e-05 #>  [1177,] 1.385273e-05 1.348580e-05 1.661791e-05 1.651329e-05 1.634796e-05 #>  [1178,] 1.244793e-05 1.320025e-05 1.533336e-05 1.493323e-05 1.517844e-05 #>  [1179,] 1.355255e-05 1.353954e-05 1.756358e-05 1.708639e-05 1.651015e-05 #>  [1180,] 1.545089e-05 1.579608e-05 1.570842e-05 1.445778e-05 1.605977e-05 #>  [1181,] 1.607569e-05 1.824301e-05 2.077604e-05 1.680542e-05 1.664082e-05 #>  [1182,] 1.422902e-05 1.475105e-05 1.893987e-05 1.828936e-05 1.755685e-05 #>  [1183,] 1.326879e-05 1.310690e-05 1.323469e-05 1.482561e-05 1.383772e-05 #>  [1184,] 3.326358e-05 3.549664e-05 4.018245e-05 3.812078e-05 2.697984e-05 #>  [1185,] 9.065969e-05 1.179900e-04 1.257582e-04 1.176687e-04 1.273884e-04 #>  [1186,] 1.111901e-05 1.081279e-05 1.107169e-05 1.131254e-05 1.010739e-05 #>  [1187,] 1.280398e-05 1.305258e-05 1.550247e-05 1.560088e-05 1.560032e-05 #>  [1188,] 2.865646e-05 3.862017e-05 4.983461e-05 4.570839e-05 3.819789e-05 #>  [1189,] 1.506310e-05 1.706954e-05 2.007059e-05 2.141432e-05 1.965733e-05 #>  [1190,] 1.489998e-05 1.787349e-05 2.428052e-05 2.085238e-05 1.871762e-05 #>  [1191,] 3.030994e-05 3.060299e-05 3.437866e-05 4.547021e-05 4.967149e-05 #>  [1192,] 1.615799e-05 1.609094e-05 1.742713e-05 3.113483e-05 1.640179e-04 #>  [1193,] 1.091192e-05 1.073078e-05 1.055231e-05 1.160001e-05 1.010710e-05 #>  [1194,] 1.781474e-05 1.755764e-05 1.991015e-05 3.591997e-05 3.451982e-05 #>  [1195,] 1.576582e-05 1.478324e-05 1.707905e-05 1.821596e-05 1.865508e-05 #>  [1196,] 3.606699e-05 3.738058e-05 3.440177e-05 3.755902e-05 3.918418e-05 #>  [1197,] 2.220963e-05 2.227302e-05 3.067683e-05 2.511396e-05 2.536612e-05 #>  [1198,] 1.518570e-05 1.474056e-05 1.820340e-05 1.923441e-05 1.854038e-05 #>  [1199,] 1.720395e-05 1.663688e-05 1.992179e-05 2.381479e-05 2.195545e-05 #>  [1200,] 2.114937e-05 2.012337e-05 2.316041e-05 3.567366e-05 4.055352e-05 #>  [1201,] 3.418075e-05 3.550019e-05 8.631316e-05 5.970230e-05 9.370516e-05 #>  [1202,] 1.671952e-05 1.549042e-05 1.717171e-05 1.694893e-05 1.587161e-05 #>  [1203,] 2.347538e-05 2.508806e-05 1.205930e-05 1.438202e-05 2.034612e-05 #>  [1204,] 3.392290e-05 5.437015e-05 6.472777e-05 6.363549e-05 6.019388e-05 #>  [1205,] 1.606469e-05 1.453333e-05 1.767998e-05 1.837470e-05 1.747333e-05 #>  [1206,] 3.555052e-05 7.995787e-05 1.412296e-04 1.079478e-04 8.359785e-05 #>  [1207,] 2.062532e-05 2.171460e-05 5.076643e-05 5.036530e-05 3.417914e-05 #>  [1208,] 8.347830e-05 8.319848e-05 4.499031e-05 5.627273e-05 6.310529e-05 #>  [1209,] 3.622918e-05 3.322223e-05 9.792032e-05 9.761914e-05 1.759211e-04 #>  [1210,] 2.060044e-05 2.707346e-05 3.453597e-05 2.188147e-05 1.777797e-05 #>  [1211,] 1.381277e-05 1.230606e-05 1.193475e-05 1.481907e-05 1.454568e-05 #>  [1212,] 1.962590e-05 1.666224e-05 2.146729e-05 1.914729e-05 1.997420e-05 #>  [1213,] 5.258843e-05 5.419507e-05 4.247292e-05 5.710024e-05 5.465732e-05 #>  [1214,] 5.903674e-04 2.433565e-04 1.143141e-04 1.339295e-04 1.338547e-04 #>  [1215,] 9.455884e-05 6.075342e-05 4.733592e-05 5.408509e-05 3.971657e-05 #>  [1216,] 2.229718e-04 2.997635e-04 1.987932e-04 1.637436e-04 1.564247e-04 #>  [1217,] 1.455326e-04 1.956226e-04 2.216752e-04 1.880591e-04 1.680938e-04 #>  [1218,] 1.482742e-05 1.379042e-05 1.627684e-05 2.215769e-05 2.080446e-05 #>  [1219,] 1.507307e-05 1.386048e-05 1.451564e-05 1.696850e-05 1.772956e-05 #>  [1220,] 1.507106e-05 1.409019e-05 1.628840e-05 1.576333e-05 1.649494e-05 #>  [1221,] 2.227675e-05 2.415295e-05 1.878983e-05 1.895356e-05 2.845596e-05 #>  [1222,] 1.514918e-05 1.414231e-05 1.720006e-05 1.824040e-05 1.773127e-05 #>  [1223,] 1.191650e-05 1.088431e-05 1.103525e-05 1.227385e-05 1.216073e-05 #>  [1224,] 4.801216e-05 3.463196e-05 3.715902e-05 3.838817e-05 3.388715e-05 #>  [1225,] 1.250454e-05 1.159990e-05 1.174100e-05 1.325230e-05 1.350563e-05 #>  [1226,] 2.199154e-04 6.612494e-04 8.445233e-04 5.143360e-04 5.255670e-04 #>  [1227,] 4.438434e-05 4.542275e-05 5.318395e-05 6.150208e-05 5.447945e-05 #>  [1228,] 1.349228e-05 1.658182e-05 2.096932e-05 3.585679e-05 8.831614e-05 #>  [1229,] 1.313328e-05 1.274944e-05 1.370393e-05 1.382055e-05 1.331729e-05 #>  [1230,] 1.334581e-05 1.267347e-05 1.363751e-05 1.492015e-05 1.669680e-05 #>  [1231,] 1.569261e-05 1.605726e-05 1.747452e-05 1.893749e-05 1.845762e-05 #>  [1232,] 1.521034e-05 1.718114e-05 2.191296e-05 1.853485e-05 1.986232e-05 #>  [1233,] 2.090954e-05 2.085356e-05 3.421108e-05 3.205838e-05 3.023575e-05 #>  [1234,] 1.495134e-05 2.070510e-05 2.769940e-05 2.594898e-05 3.397457e-05 #>  [1235,] 1.324645e-05 1.455992e-05 1.398323e-05 1.403543e-05 1.394843e-05 #>  [1236,] 1.834860e-05 1.699279e-05 1.758373e-05 1.807290e-05 1.888001e-05 #>  [1237,] 2.079365e-05 1.852896e-05 2.198002e-05 2.291645e-05 2.321911e-05 #>  [1238,] 1.229202e-05 1.081692e-05 1.174810e-05 1.278927e-05 1.159533e-05 #>  [1239,] 2.737288e-05 3.638246e-05 9.489115e-05 1.086337e-04 5.298040e-04 #>  [1240,] 1.195493e-05 1.198404e-05 1.206041e-05 1.256162e-05 1.205856e-05 #>  [1241,] 7.975790e-05 5.890137e-05 1.093633e-04 1.280982e-04 1.163510e-04 #>  [1242,] 8.134883e-05 5.488984e-05 5.982645e-05 5.595063e-05 6.193867e-05 #>  [1243,] 1.645360e-05 1.708524e-05 1.793407e-05 1.513172e-05 1.781602e-05 #>  [1244,] 3.095789e-05 5.069199e-05 8.105138e-05 4.641427e-05 3.890184e-05 #>  [1245,] 1.190316e-05 1.112930e-05 1.158451e-05 1.194509e-05 1.166938e-05 #>  [1246,] 1.382826e-05 1.149860e-05 1.217675e-05 1.388152e-05 1.171669e-05 #>  [1247,] 1.301186e-05 1.306186e-05 1.354623e-05 1.397815e-05 1.388169e-05 #>  [1248,] 2.198232e-05 2.594626e-05 2.048065e-05 2.123103e-05 2.331103e-05 #>  [1249,] 1.371049e-05 1.504315e-05 1.603964e-05 1.509596e-05 1.538417e-05 #>  [1250,] 2.367594e-05 1.866023e-05 1.572965e-05 1.577732e-05 1.545220e-05 #>  [1251,] 2.456352e-05 2.135813e-05 3.757552e-05 4.366333e-05 7.066107e-05 #>  [1252,] 1.394282e-05 1.621253e-05 2.146153e-05 1.771819e-05 1.605628e-05 #>  [1253,] 1.405011e-05 1.517087e-05 1.501049e-05 1.440534e-05 1.375273e-05 #>  [1254,] 5.542911e-05 4.045535e-05 1.424322e-05 1.609887e-05 1.836102e-05 #>  [1255,] 1.222440e-05 1.290703e-05 1.405674e-05 1.436207e-05 1.464791e-05 #>  [1256,] 1.579054e-05 1.732981e-05 2.829528e-05 2.492728e-05 2.484070e-05 #>  [1257,] 2.758777e-05 2.727273e-05 4.573545e-05 3.396402e-05 3.491234e-05 #>  [1258,] 1.449884e-05 1.760717e-05 2.753622e-05 2.116757e-05 1.747012e-05 #>  [1259,] 1.339536e-05 1.305011e-05 1.328965e-05 1.366659e-05 1.266549e-05 #>  [1260,] 3.338280e-05 3.150941e-05 5.491286e-05 7.481958e-05 7.256213e-05 #>  [1261,] 1.415988e-05 1.348241e-05 1.530845e-05 1.546118e-05 1.629343e-05 #>  [1262,] 1.620955e-05 1.648475e-05 2.158417e-05 1.623223e-05 1.613893e-05 #>  [1263,] 2.136260e-05 1.726264e-05 1.660524e-05 1.572029e-05 1.416953e-05 #>  [1264,] 1.369717e-05 1.198248e-05 1.457865e-05 1.273395e-05 1.104485e-05 #>  [1265,] 1.231852e-05 1.217376e-05 1.254527e-05 1.320511e-05 1.227767e-05 #>  [1266,] 1.437336e-05 1.710639e-05 2.180369e-05 2.076676e-05 1.834749e-05 #>  [1267,] 1.642221e-05 1.692832e-05 1.821299e-05 1.933539e-05 1.872494e-05 #>  [1268,] 1.299607e-05 1.296685e-05 1.301201e-05 1.460147e-05 1.560237e-05 #>  [1269,] 5.256920e-05 3.488970e-05 3.363063e-05 2.744522e-05 1.782720e-05 #>  [1270,] 5.311861e-05 3.420903e-05 3.836532e-05 3.962789e-05 4.453558e-05 #>  [1271,] 8.716573e-05 1.422487e-04 1.093020e-04 9.447471e-05 1.042916e-04 #>  [1272,] 7.708080e-05 9.617694e-05 8.073028e-05 8.585222e-05 1.267458e-04 #>  [1273,] 1.646649e-05 1.781061e-05 2.122450e-05 2.273166e-05 3.150375e-05 #>  [1274,] 1.483212e-05 1.497369e-05 1.708029e-05 1.764361e-05 1.712064e-05 #>  [1275,] 2.837667e-05 2.281007e-05 2.095825e-05 2.149729e-05 2.001556e-05 #>  [1276,] 1.537917e-05 1.402814e-05 1.588075e-05 1.615546e-05 1.624077e-05 #>  [1277,] 1.433734e-05 1.458223e-05 2.014408e-05 2.216933e-05 3.060070e-05 #>  [1278,] 4.928308e-05 6.882990e-05 8.099586e-05 7.026912e-05 4.952569e-05 #>  [1279,] 1.926068e-05 1.549686e-05 2.217540e-05 1.972474e-05 2.383083e-05 #>  [1280,] 1.496863e-05 1.729537e-05 1.509543e-05 1.460567e-05 1.475472e-05 #>  [1281,] 1.501591e-05 1.479726e-05 1.439792e-05 1.546475e-05 1.483074e-05 #>  [1282,] 1.456421e-05 1.336451e-05 1.639619e-05 1.885510e-05 1.780677e-05 #>  [1283,] 2.162635e-05 1.856486e-05 2.702201e-05 2.426865e-05 2.601747e-05 #>  [1284,] 1.484609e-05 1.333237e-05 1.523433e-05 1.675162e-05 1.577090e-05 #>  [1285,] 1.485803e-05 1.807569e-05 2.686694e-05 2.641102e-05 7.701836e-05 #>  [1286,] 1.426939e-05 1.367781e-05 1.429511e-05 1.488930e-05 1.510644e-05 #>  [1287,] 2.690312e-05 1.509598e-05 1.618099e-05 1.777713e-05 1.683566e-05 #>  [1288,] 1.484663e-05 1.401506e-05 1.820808e-05 1.724523e-05 1.622519e-05 #>  [1289,] 3.709209e-05 3.556245e-05 5.852612e-05 5.760955e-05 4.009475e-05 #>  [1290,] 2.536922e-05 2.645927e-05 3.647977e-05 2.560255e-05 2.250900e-05 #>  [1291,] 1.280291e-05 1.255164e-05 1.236646e-05 1.338350e-05 1.345021e-05 #>  [1292,] 1.464326e-05 1.383178e-05 1.388885e-05 1.593000e-05 1.647020e-05 #>  [1293,] 3.817213e-05 1.537496e-05 1.696058e-05 2.308995e-05 2.154731e-05 #>  [1294,] 3.961253e-05 6.354615e-05 6.575532e-05 6.115457e-05 5.949993e-05 #>  [1295,] 2.099682e-05 2.016823e-05 2.413098e-05 2.722047e-05 2.600672e-05 #>  [1296,] 1.945361e-05 1.783420e-05 2.267247e-05 2.516876e-05 2.310254e-05 #>  [1297,] 4.894265e-05 3.973090e-05 1.939495e-05 2.800405e-05 4.041812e-05 #>  [1298,] 2.343483e-05 2.651350e-05 5.385016e-05 6.990340e-05 1.267599e-04 #>  [1299,] 1.318456e-05 1.242114e-05 1.197967e-05 1.313570e-05 1.314938e-05 #>  [1300,] 2.755178e-05 3.331849e-05 5.735468e-05 3.826494e-05 3.200548e-05 #>  [1301,] 1.591845e-05 1.215625e-05 1.261029e-05 1.633046e-05 1.351373e-05 #>  [1302,] 1.439604e-05 1.273608e-05 1.322587e-05 1.594181e-05 1.442549e-05 #>  [1303,] 1.377939e-05 1.104246e-05 1.172044e-05 1.349023e-05 1.310666e-05 #>  [1304,] 4.488701e-05 3.023546e-05 2.911101e-05 2.858388e-05 2.772035e-05 #>  [1305,] 1.302911e-05 1.241768e-05 1.235218e-05 1.333811e-05 1.398667e-05 #>  [1306,] 7.936400e-05 8.336919e-05 2.518008e-05 2.267652e-05 2.084337e-05 #>  [1307,] 6.690592e-05 3.641641e-05 2.922462e-05 3.919747e-05 3.370037e-05 #>  [1308,] 1.353532e-05 1.284397e-05 1.370845e-05 1.558421e-05 1.523885e-05 #>  [1309,] 1.679861e-05 1.897036e-05 2.292182e-05 1.775859e-05 1.865672e-05 #>  [1310,] 1.351911e-05 1.279367e-05 1.314651e-05 1.342644e-05 1.306329e-05 #>  [1311,] 1.421097e-05 1.164649e-05 1.212623e-05 1.484679e-05 1.330031e-05 #>  [1312,] 1.141333e-05 1.100838e-05 1.224493e-05 1.352128e-05 1.278507e-05 #>  [1313,] 1.480124e-05 1.280364e-05 1.520757e-05 1.739033e-05 1.634503e-05 #>  [1314,] 1.433009e-05 1.274083e-05 1.372315e-05 1.425656e-05 1.347154e-05 #>  [1315,] 1.251212e-05 1.282851e-05 1.320971e-05 1.300058e-05 1.242509e-05 #>  [1316,] 2.438992e-05 3.184479e-05 3.286094e-05 3.798171e-05 4.909660e-05 #>  [1317,] 2.073984e-05 2.021195e-05 1.882046e-05 2.196245e-05 1.888321e-05 #>  [1318,] 1.462103e-04 1.473456e-04 1.018026e-04 9.123237e-05 1.012510e-04 #>  [1319,] 1.604637e-05 1.838510e-05 2.227645e-05 1.872175e-05 1.838415e-05 #>  [1320,] 1.167626e-03 1.142232e-03 1.005548e-03 1.088802e-03 8.766088e-04 #>  [1321,] 1.299613e-05 1.243427e-05 1.438569e-05 1.571791e-05 1.992848e-05 #>  [1322,] 1.451288e-05 1.788242e-05 1.924519e-05 1.610440e-05 1.733521e-05 #>  [1323,] 1.567097e-05 1.563739e-05 1.469981e-05 1.583865e-05 1.586908e-05 #>  [1324,] 1.681394e-05 1.583210e-05 1.598985e-05 1.682278e-05 1.498459e-05 #>  [1325,] 1.354752e-05 1.426834e-05 1.570032e-05 1.627698e-05 1.533357e-05 #>  [1326,] 3.455639e-04 1.871385e-04 7.306948e-05 1.064808e-04 1.380495e-04 #>  [1327,] 1.335388e-05 1.316461e-05 1.468565e-05 1.486810e-05 1.553651e-05 #>  [1328,] 5.198255e-05 3.777649e-05 2.874769e-05 4.501212e-05 6.221868e-05 #>  [1329,] 1.626818e-05 1.592817e-05 1.433560e-05 1.395053e-05 1.511163e-05 #>  [1330,] 1.729332e-05 1.722710e-05 1.720893e-05 2.089441e-05 1.936727e-05 #>  [1331,] 1.727097e-05 1.551573e-05 1.909080e-05 2.144107e-05 1.869432e-05 #>  [1332,] 4.075340e-05 4.415028e-05 5.840319e-05 5.010065e-05 3.663346e-05 #>  [1333,] 1.411993e-05 1.458299e-05 1.673039e-05 1.788859e-05 1.627940e-05 #>  [1334,] 1.528004e-05 1.301724e-05 1.609758e-05 1.819876e-05 1.614747e-05 #>  [1335,] 1.324685e-05 1.200616e-05 1.260304e-05 1.381674e-05 1.476277e-05 #>  [1336,] 1.442593e-05 1.550860e-05 1.816656e-05 1.796023e-05 1.829534e-05 #>  [1337,] 1.304529e-05 1.372466e-05 1.351777e-05 1.357551e-05 1.313442e-05 #>  [1338,] 2.212738e-05 1.901733e-05 1.897116e-05 3.027371e-05 2.306049e-05 #>  [1339,] 2.204964e-05 2.551412e-05 8.691853e-05 8.057385e-05 8.627420e-05 #>  [1340,] 2.287968e-05 2.059027e-05 3.124333e-05 3.157429e-05 2.907505e-05 #>  [1341,] 1.395019e-05 1.293337e-05 1.267187e-05 1.424051e-05 1.358646e-05 #>  [1342,] 1.465991e-05 1.460936e-05 1.421926e-05 1.406497e-05 1.405341e-05 #>  [1343,] 1.705456e-05 1.609245e-05 1.882175e-05 1.881464e-05 1.948538e-05 #>  [1344,] 1.664036e-05 1.690929e-05 1.826870e-05 1.938308e-05 2.195359e-05 #>  [1345,] 1.320678e-05 1.229869e-05 1.663246e-05 1.796005e-05 1.994317e-05 #>  [1346,] 1.893584e-05 1.653192e-05 1.751356e-05 1.653520e-05 1.735251e-05 #>  [1347,] 1.895114e-05 1.893915e-05 3.392524e-05 3.009815e-05 2.433431e-05 #>  [1348,] 1.054233e-04 1.022999e-04 5.041230e-05 5.075215e-05 5.647266e-05 #>  [1349,] 1.375680e-05 1.284598e-05 1.408329e-05 1.423036e-05 1.485361e-05 #>  [1350,] 1.429707e-05 1.563909e-05 2.067606e-05 1.598022e-05 1.544516e-05 #>  [1351,] 1.763547e-05 1.685468e-05 2.223430e-05 2.132039e-05 1.732193e-05 #>  [1352,] 5.859992e-05 4.940776e-05 6.141934e-05 6.502573e-05 5.064345e-05 #>  [1353,] 4.098531e-05 3.256053e-05 2.237607e-05 2.171421e-05 1.988948e-05 #>  [1354,] 2.212094e-05 1.926156e-05 3.448603e-05 2.881373e-05 3.396941e-05 #>  [1355,] 1.195863e-05 1.144019e-05 1.208092e-05 1.189620e-05 1.228473e-05 #>  [1356,] 2.249826e-05 2.297332e-05 3.580196e-05 4.574958e-05 3.861746e-05 #>  [1357,] 1.427798e-05 1.392690e-05 1.528121e-05 1.629985e-05 1.462932e-05 #>  [1358,] 1.288541e-05 1.458792e-05 1.679728e-05 1.594159e-05 1.595762e-05 #>  [1359,] 1.192500e-05 1.091928e-05 1.063070e-05 1.118037e-05 1.156870e-05 #>  [1360,] 1.516424e-05 2.094256e-05 2.753494e-05 2.885474e-05 3.389539e-05 #>  [1361,] 1.890095e-05 2.005963e-05 2.035518e-05 2.049041e-05 1.793913e-05 #>  [1362,] 1.323308e-05 1.246337e-05 1.215621e-05 1.336442e-05 1.273499e-05 #>  [1363,] 1.371434e-05 1.434667e-05 1.407683e-05 1.402061e-05 1.611346e-05 #>  [1364,] 1.471056e-05 1.426400e-05 1.988126e-05 2.295448e-05 2.147370e-05 #>  [1365,] 2.219604e-05 2.447012e-05 2.574111e-05 3.090597e-05 4.031402e-05 #>  [1366,] 1.197400e-05 1.056915e-05 1.133531e-05 1.176760e-05 1.140396e-05 #>  [1367,] 1.253913e-05 1.247186e-05 1.355388e-05 1.315631e-05 1.295854e-05 #>  [1368,] 1.884522e-05 2.451009e-05 2.586931e-05 1.860583e-05 1.909976e-05 #>  [1369,] 2.745357e-05 3.247012e-05 2.301052e-05 2.024822e-05 2.937593e-05 #>  [1370,] 1.189275e-05 1.200930e-05 1.330590e-05 1.327667e-05 1.250483e-05 #>  [1371,] 1.446491e-05 1.342225e-05 1.587778e-05 1.766471e-05 1.550780e-05 #>  [1372,] 2.425649e-05 2.344039e-05 2.398468e-05 2.769740e-05 2.586203e-05 #>  [1373,] 7.177301e-05 9.237293e-05 1.682359e-04 1.586791e-04 2.706993e-04 #>  [1374,] 1.390245e-05 1.449320e-05 1.502375e-05 1.633679e-05 2.157642e-05 #>  [1375,] 3.744563e-05 1.928253e-05 2.167474e-05 3.148673e-05 2.773384e-05 #>  [1376,] 2.631437e-05 2.306017e-05 2.233189e-05 2.318714e-05 2.251385e-05 #>  [1377,] 2.023552e-05 2.609205e-05 6.631732e-05 5.361674e-05 6.190842e-05 #>  [1378,] 1.917908e-05 2.458562e-05 2.241875e-05 2.915702e-05 4.113783e-05 #>  [1379,] 1.453786e-05 1.341958e-05 1.383349e-05 1.539763e-05 1.544700e-05 #>  [1380,] 1.355579e-05 1.405583e-05 1.523315e-05 1.456762e-05 1.423184e-05 #>  [1381,] 5.356018e-05 6.322445e-05 4.080647e-05 4.288956e-05 7.001708e-05 #>  [1382,] 3.313474e-05 4.013778e-05 2.960220e-05 2.433865e-05 2.364490e-05 #>  [1383,] 2.216690e-05 1.883785e-05 2.042180e-05 2.078189e-05 1.936203e-05 #>  [1384,] 1.617514e-05 1.597366e-05 1.620109e-05 1.982342e-05 2.643876e-05 #>  [1385,] 1.498809e-05 1.347784e-05 1.640793e-05 1.552108e-05 1.597670e-05 #>  [1386,] 3.435074e-04 1.685609e-04 1.288209e-04 1.469803e-04 1.101676e-04 #>  [1387,] 1.556944e-05 1.598574e-05 1.935129e-05 1.929982e-05 1.741111e-05 #>  [1388,] 1.433088e-05 1.560691e-05 1.790888e-05 1.769070e-05 1.736393e-05 #>  [1389,] 1.016959e-05 9.963209e-06 1.039928e-05 1.115283e-05 9.792086e-06 #>  [1390,] 1.711404e-05 1.665938e-05 1.697181e-05 1.696906e-05 1.727948e-05 #>  [1391,] 2.154940e-05 2.510248e-05 2.028661e-05 2.461453e-05 2.750519e-05 #>  [1392,] 1.532911e-05 1.393371e-05 2.230168e-05 1.734271e-05 1.599537e-05 #>  [1393,] 4.870534e-05 3.208428e-05 1.667863e-05 1.832962e-05 1.658473e-05 #>  [1394,] 3.246670e-05 2.491235e-05 6.666858e-05 6.012270e-05 5.158448e-05 #>  [1395,] 1.427461e-05 1.494314e-05 1.498749e-05 1.452972e-05 1.289948e-05 #>  [1396,] 1.959680e-05 1.985325e-05 1.849168e-05 1.790598e-05 1.932984e-05 #>  [1397,] 1.530325e-04 2.044196e-04 1.742401e-04 2.504823e-04 1.928648e-04 #>  [1398,] 1.825106e-05 1.733149e-05 2.038571e-05 2.168592e-05 1.992464e-05 #>  [1399,] 1.467799e-05 1.283186e-05 1.210414e-05 1.429628e-05 1.289190e-05 #>  [1400,] 1.375847e-05 1.357279e-05 1.444265e-05 1.496406e-05 1.532815e-05 #>  [1401,] 1.441346e-05 1.407463e-05 1.436037e-05 1.639178e-05 1.518280e-05 #>  [1402,] 1.716898e-05 1.674835e-05 1.620958e-05 1.676542e-05 1.628715e-05 #>  [1403,] 1.390126e-05 1.389393e-05 1.367340e-05 1.401716e-05 1.469085e-05 #>  [1404,] 1.484593e-05 1.473953e-05 1.485227e-05 1.628549e-05 1.622890e-05 #>  [1405,] 6.569643e-04 5.947115e-04 9.538635e-04 7.224216e-04 4.625974e-04 #>  [1406,] 1.301346e-05 1.370883e-05 1.653287e-05 1.922771e-05 1.653522e-05 #>  [1407,] 6.426456e-05 7.439822e-05 8.927795e-05 9.855693e-05 9.401441e-05 #>  [1408,] 1.470353e-05 1.958376e-05 2.849754e-05 1.814924e-05 2.094030e-05 #>  [1409,] 1.349366e-05 1.397531e-05 1.629323e-05 1.784424e-05 1.768800e-05 #>  [1410,] 1.250258e-05 1.233933e-05 1.165164e-05 1.337721e-05 1.338642e-05 #>  [1411,] 3.663801e-05 2.823997e-05 2.163860e-05 2.017178e-05 2.646659e-05 #>  [1412,] 2.336778e-05 2.144883e-05 1.942744e-05 2.354703e-05 2.200424e-05 #>  [1413,] 1.766596e-05 1.716080e-05 1.438100e-05 1.614819e-05 1.418737e-05 #>  [1414,] 1.455668e-05 1.455352e-05 1.623668e-05 1.610738e-05 1.488754e-05 #>  [1415,] 1.415744e-05 1.251779e-05 1.315578e-05 1.468311e-05 1.295634e-05 #>  [1416,] 1.239016e-05 1.272282e-05 1.550502e-05 1.721619e-05 1.761101e-05 #>  [1417,] 1.417308e-05 1.393534e-05 1.476424e-05 1.550073e-05 1.549873e-05 #>  [1418,] 1.405249e-05 1.275156e-05 1.420956e-05 1.565161e-05 1.336643e-05 #>  [1419,] 1.696352e-05 1.742747e-05 1.699935e-05 2.282564e-05 2.329078e-05 #>  [1420,] 2.048948e-05 1.919296e-05 1.411183e-05 1.620451e-05 1.628197e-05 #>  [1421,] 2.422051e-05 2.311491e-05 2.552847e-05 2.516845e-05 6.237584e-05 #>  [1422,] 1.985557e-05 1.920045e-05 2.094718e-05 2.640983e-05 2.642908e-05 #>  [1423,] 1.711963e-05 1.669338e-05 1.647647e-05 1.726484e-05 1.681646e-05 #>  [1424,] 2.042348e-04 4.199278e-04 6.165039e-04 3.696539e-04 3.004158e-04 #>  [1425,] 1.575544e-05 2.046705e-05 1.949555e-05 1.961240e-05 2.988572e-05 #>  [1426,] 1.834827e-05 1.655241e-05 1.636676e-05 1.763033e-05 1.507411e-05 #>  [1427,] 3.678168e-05 3.472422e-05 8.159913e-05 8.569573e-05 7.342115e-05 #>  [1428,] 1.484999e-04 2.254763e-04 4.243097e-05 2.672954e-05 1.426958e-05 #>  [1429,] 1.743190e-05 1.900674e-05 2.753496e-05 2.056812e-05 1.941725e-05 #>  [1430,] 4.174514e-05 2.963083e-05 2.333051e-05 2.634297e-05 2.407155e-05 #>  [1431,] 1.550670e-05 1.422855e-05 1.743068e-05 1.740142e-05 1.931316e-05 #>  [1432,] 2.610323e-05 1.230729e-05 1.383128e-05 1.655083e-05 1.546937e-05 #>  [1433,] 1.417501e-05 1.726603e-05 1.986496e-05 1.643566e-05 1.769507e-05 #>  [1434,] 1.382276e-05 1.347715e-05 1.168707e-05 1.176874e-05 1.267813e-05 #>  [1435,] 2.454584e-05 2.218434e-05 1.974143e-05 1.721954e-05 2.050049e-05 #>  [1436,] 1.774180e-04 2.379853e-04 1.407272e-04 1.377324e-04 1.877911e-04 #>  [1437,] 1.437275e-05 1.400327e-05 1.561779e-05 1.759794e-05 1.599084e-05 #>  [1438,] 1.457836e-05 1.243050e-05 1.228117e-05 1.441295e-05 1.243836e-05 #>  [1439,] 2.409228e-05 2.223225e-05 2.047621e-05 2.500370e-05 2.656106e-05 #>  [1440,] 2.227429e-05 2.987914e-05 5.391055e-05 7.007290e-05 1.598366e-04 #>  [1441,] 1.283149e-05 1.670115e-05 1.865407e-05 1.845730e-05 2.210030e-05 #>  [1442,] 1.325965e-05 1.257033e-05 1.223042e-05 1.322677e-05 1.323350e-05 #>  [1443,] 1.204902e-04 7.470992e-05 6.618377e-05 7.829748e-05 7.776689e-05 #>  [1444,] 1.207321e-04 7.615555e-05 2.304405e-05 2.114307e-05 1.544919e-05 #>  [1445,] 3.586886e-05 3.347096e-05 6.705180e-05 6.353771e-05 6.054898e-05 #>  [1446,] 1.932561e-05 2.275207e-05 2.129302e-05 2.278173e-05 1.933636e-05 #>  [1447,] 1.347176e-05 1.285408e-05 1.255404e-05 1.342592e-05 1.280089e-05 #>  [1448,] 1.570456e-05 1.686290e-05 1.324870e-05 1.344400e-05 1.369658e-05 #>  [1449,] 1.476599e-05 1.480756e-05 1.421131e-05 1.453664e-05 1.347076e-05 #>  [1450,] 1.242668e-05 1.258270e-05 1.269244e-05 1.250669e-05 1.233958e-05 #>  [1451,] 1.659563e-05 1.374901e-05 1.508907e-05 1.495541e-05 1.475303e-05 #>  [1452,] 1.294845e-05 1.217839e-05 1.195301e-05 1.332016e-05 1.263893e-05 #>  [1453,] 3.742328e-04 3.540588e-04 2.635686e-04 2.994228e-04 2.103739e-04 #>  [1454,] 2.065685e-05 1.862126e-05 2.083027e-05 2.190319e-05 1.876949e-05 #>  [1455,] 1.793284e-05 1.794009e-05 2.538225e-05 2.289714e-05 2.743171e-05 #>  [1456,] 1.432136e-05 1.543494e-05 1.734317e-05 1.714645e-05 1.658139e-05 #>  [1457,] 2.547272e-05 2.710006e-05 2.115586e-05 2.587866e-05 3.143026e-05 #>  [1458,] 1.212974e-05 1.196891e-05 1.368423e-05 1.475440e-05 1.443052e-05 #>  [1459,] 1.206091e-05 1.216431e-05 1.332983e-05 1.363123e-05 1.363349e-05 #>  [1460,] 1.971797e-05 1.740442e-05 2.239461e-05 1.647832e-05 1.606793e-05 #>  [1461,] 2.202478e-05 1.768165e-05 1.702294e-05 1.710389e-05 2.415752e-05 #>  [1462,] 1.419035e-05 1.201948e-05 1.317970e-05 1.429763e-05 1.526685e-05 #>  [1463,] 8.305173e-04 8.148953e-04 1.077717e-03 1.099020e-03 1.149056e-03 #>  [1464,] 1.380353e-05 1.351744e-05 1.449604e-05 1.584966e-05 1.948073e-05 #>  [1465,] 1.277131e-05 1.393918e-05 1.441107e-05 1.590848e-05 1.623389e-05 #>  [1466,] 2.196849e-05 2.085685e-05 2.169670e-05 2.334658e-05 2.367640e-05 #>  [1467,] 1.377103e-05 1.511317e-05 2.304357e-05 1.688204e-05 1.609005e-05 #>  [1468,] 1.191867e-05 1.124603e-05 1.255646e-05 1.445066e-05 1.471520e-05 #>  [1469,] 9.133191e-05 1.139458e-04 2.211619e-04 3.696433e-04 2.440413e-04 #>  [1470,] 1.637696e-05 1.778202e-05 1.992441e-05 1.673093e-05 1.677814e-05 #>  [1471,] 1.133595e-05 1.184109e-05 1.236871e-05 1.215014e-05 1.183303e-05 #>  [1472,] 1.339791e-05 1.268810e-05 1.429143e-05 1.562011e-05 1.735006e-05 #>  [1473,] 3.273804e-05 6.118614e-05 3.571333e-05 2.684297e-05 3.672386e-05 #>  [1474,] 1.825375e-05 1.070864e-05 1.189377e-05 1.192527e-05 1.134634e-05 #>  [1475,] 1.512389e-05 1.522352e-05 1.526114e-05 1.592360e-05 1.507732e-05 #>  [1476,] 1.493882e-05 1.578646e-05 1.241627e-05 1.214394e-05 1.282651e-05 #>  [1477,] 1.560580e-05 1.426943e-05 1.431997e-05 1.560800e-05 1.428379e-05 #>  [1478,] 1.195998e-05 1.148463e-05 1.177489e-05 1.189397e-05 1.099691e-05 #>  [1479,] 1.524317e-05 1.581622e-05 1.770005e-05 2.000537e-05 2.128819e-05 #>  [1480,] 7.016057e-05 3.819148e-05 4.446513e-05 4.895169e-05 4.579083e-05 #>  [1481,] 6.847229e-05 6.671345e-05 3.552129e-05 3.618532e-05 2.375308e-05 #>  [1482,] 1.443003e-05 1.498492e-05 1.472192e-05 1.512886e-05 1.678729e-05 #>  [1483,] 1.374761e-05 1.441021e-05 1.671963e-05 1.691057e-05 1.553909e-05 #>  [1484,] 2.034532e-04 1.825710e-04 1.981285e-04 1.842890e-04 1.242403e-04 #>  [1485,] 1.254425e-05 1.189541e-05 1.366590e-05 1.404599e-05 1.551976e-05 #>  [1486,] 1.459640e-05 1.502951e-05 1.650253e-05 1.649906e-05 1.607297e-05 #>  [1487,] 1.314218e-05 1.324483e-05 1.436669e-05 1.355704e-05 1.432510e-05 #>  [1488,] 1.188388e-05 1.167013e-05 1.182019e-05 1.186755e-05 1.120254e-05 #>  [1489,] 4.658363e-05 7.275155e-05 2.016032e-05 1.933349e-05 1.751427e-05 #>  [1490,] 1.325594e-05 1.384679e-05 1.623132e-05 1.425265e-05 1.488915e-05 #>  [1491,] 2.633021e-05 3.397250e-05 3.287588e-05 2.540777e-05 4.093400e-05 #>  [1492,] 1.504457e-05 1.722674e-05 1.621942e-05 2.091553e-05 6.155974e-05 #>  [1493,] 1.549918e-05 1.546980e-05 1.602914e-05 1.615446e-05 1.487055e-05 #>  [1494,] 2.057271e-05 2.085439e-05 3.102113e-05 5.467159e-05 5.695714e-05 #>  [1495,] 1.713002e-05 1.789146e-05 1.877610e-05 1.682940e-05 1.549259e-05 #>  [1496,] 3.198489e-05 3.328993e-05 4.790616e-05 5.806393e-05 5.487041e-05 #>  [1497,] 1.655362e-05 1.916522e-05 3.708703e-05 3.230587e-05 3.392839e-05 #>  [1498,] 9.117625e-05 6.672049e-05 6.273082e-05 7.198844e-05 1.265807e-04 #>  [1499,] 7.741034e-05 6.206300e-05 5.460990e-05 5.547907e-05 4.149229e-05 #>  [1500,] 1.510176e-05 1.718936e-05 1.846492e-05 1.717475e-05 1.786424e-05 #>  [1501,] 1.394682e-05 1.293686e-05 1.238134e-05 1.278785e-05 1.254869e-05 #>  [1502,] 1.435142e-05 1.814420e-05 2.527961e-05 1.961163e-05 1.981952e-05 #>  [1503,] 1.109144e-05 1.044101e-05 1.071552e-05 1.141017e-05 1.047676e-05 #>  [1504,] 1.748423e-05 1.717708e-05 2.004543e-05 2.190879e-05 2.206437e-05 #>  [1505,] 3.328485e-05 3.258727e-05 2.062511e-05 2.614690e-05 2.244909e-05 #>  [1506,] 1.261623e-04 6.028985e-05 6.888765e-05 6.986937e-05 6.716568e-05 #>  [1507,] 1.693555e-05 1.584904e-05 2.110436e-05 2.171268e-05 1.929941e-05 #>  [1508,] 1.225184e-05 1.561647e-05 1.892409e-05 1.558485e-05 1.620884e-05 #>  [1509,] 6.996965e-05 5.318854e-05 5.234301e-05 9.321214e-05 1.390619e-04 #>  [1510,] 1.976027e-05 1.360986e-05 1.572509e-05 1.577966e-05 1.710162e-05 #>  [1511,] 1.342441e-05 1.262590e-05 1.264695e-05 1.450160e-05 1.537976e-05 #>  [1512,] 1.437724e-05 1.383254e-05 1.539968e-05 1.669736e-05 1.842920e-05 #>  [1513,] 4.148149e-05 5.623477e-05 7.643314e-05 6.885575e-05 7.515684e-05 #>  [1514,] 1.536641e-05 1.794758e-05 1.960026e-05 1.666847e-05 1.814814e-05 #>  [1515,] 1.146252e-05 1.155377e-05 1.174557e-05 1.134438e-05 1.181529e-05 #>  [1516,] 2.840044e-05 3.444480e-05 2.728470e-05 2.527521e-05 2.818526e-05 #>  [1517,] 1.213692e-05 1.269261e-05 1.216424e-05 1.329414e-05 2.006262e-05 #>  [1518,] 1.280857e-05 1.243801e-05 1.266878e-05 1.367342e-05 1.394333e-05 #>  [1519,] 1.036124e-04 1.869025e-04 1.567521e-04 1.333515e-04 1.339714e-04 #>  [1520,] 1.532973e-05 1.475324e-05 1.613916e-05 1.682739e-05 1.535400e-05 #>  [1521,] 6.963751e-05 6.067480e-05 1.803918e-04 1.846317e-04 1.643364e-04 #>  [1522,] 3.366054e-05 3.323896e-05 3.543097e-05 2.653181e-05 2.481759e-05 #>  [1523,] 2.109900e-05 2.017063e-05 1.270389e-05 1.296698e-05 1.326240e-05 #>  [1524,] 1.218537e-05 1.266474e-05 1.497193e-05 1.589388e-05 1.541070e-05 #>  [1525,] 4.605807e-05 4.097099e-05 5.467303e-05 5.326815e-05 4.277607e-05 #>  [1526,] 1.399720e-05 1.305009e-05 1.252606e-05 1.443431e-05 1.449709e-05 #>  [1527,] 1.246822e-05 1.230497e-05 1.291790e-05 1.265585e-05 1.238804e-05 #>  [1528,] 1.325975e-05 1.295481e-05 1.330790e-05 1.515913e-05 1.573719e-05 #>  [1529,] 3.008003e-05 3.276098e-05 8.188969e-05 5.362508e-05 3.526783e-05 #>  [1530,] 1.596035e-05 1.524926e-05 1.552235e-05 1.491882e-05 1.600190e-05 #>  [1531,] 2.548551e-05 3.007350e-05 2.596503e-05 2.663118e-05 2.687892e-05 #>  [1532,] 9.125392e-05 9.890606e-05 1.021840e-04 7.971004e-05 2.742894e-04 #>  [1533,] 1.342030e-05 1.302838e-05 1.173993e-05 1.262670e-05 1.293055e-05 #>  [1534,] 1.444358e-05 1.451982e-05 1.860169e-05 2.196815e-05 3.081080e-05 #>  [1535,] 1.369859e-04 1.935299e-04 3.421915e-04 3.211698e-04 4.228492e-04 #>  [1536,] 1.247044e-05 1.273427e-05 1.335330e-05 1.330778e-05 1.804561e-05 #>  [1537,] 4.056107e-05 3.710032e-05 4.018002e-05 3.703545e-05 4.790825e-05 #>  [1538,] 1.454921e-05 1.468661e-05 1.524375e-05 1.553684e-05 1.548811e-05 #>  [1539,] 1.626962e-05 1.504023e-05 1.566755e-05 1.510035e-05 1.568692e-05 #>  [1540,] 1.245220e-05 1.219404e-05 1.145147e-05 1.255255e-05 1.258033e-05 #>  [1541,] 1.531411e-05 1.521389e-05 1.335752e-05 1.389271e-05 1.344350e-05 #>  [1542,] 2.683217e-05 2.505556e-05 2.085783e-05 2.140510e-05 2.026812e-05 #>  [1543,] 2.090992e-05 2.665231e-05 2.784710e-05 2.327843e-05 2.445774e-05 #>  [1544,] 1.417053e-04 6.100814e-05 8.408722e-05 4.977071e-05 4.726022e-05 #>  [1545,] 1.430073e-05 1.414822e-05 1.678874e-05 1.804555e-05 1.709399e-05 #>  [1546,] 1.418461e-05 1.511655e-05 1.796279e-05 1.488660e-05 1.553011e-05 #>  [1547,] 3.432575e-05 6.237359e-05 6.655360e-05 5.287728e-05 1.005000e-04 #>  [1548,] 1.414005e-05 1.353415e-05 1.593425e-05 1.606833e-05 1.638686e-05 #>  [1549,] 1.288244e-04 1.754197e-04 7.287361e-05 8.000061e-05 9.737923e-05 #>  [1550,] 1.343391e-05 1.401070e-05 1.361449e-05 1.539593e-05 1.779587e-05 #>  [1551,] 1.979621e-05 1.246466e-05 1.120667e-05 1.326244e-05 1.186554e-05 #>  [1552,] 1.473021e-05 1.604786e-05 1.843332e-05 1.773519e-05 1.749560e-05 #>  [1553,] 1.426365e-05 1.359335e-05 1.256629e-05 1.367851e-05 1.375082e-05 #>  [1554,] 1.647516e-05 1.749191e-05 1.472862e-05 1.475766e-05 1.492513e-05 #>  [1555,] 1.349352e-05 1.331392e-05 1.603049e-05 1.652572e-05 1.545389e-05 #>  [1556,] 2.834122e-05 2.363562e-05 3.013646e-05 2.373915e-05 1.926131e-05 #>  [1557,] 1.325743e-05 1.202484e-05 1.216518e-05 1.315030e-05 1.241022e-05 #>  [1558,] 1.438770e-05 1.358425e-05 1.518763e-05 1.720290e-05 1.640761e-05 #>  [1559,] 2.443207e-05 2.634692e-05 2.272783e-05 2.130067e-05 2.912440e-05 #>  [1560,] 1.831460e-05 1.544834e-05 1.765744e-05 1.892969e-05 1.837136e-05 #>  [1561,] 1.521771e-05 1.461406e-05 1.448080e-05 1.400087e-05 1.213610e-05 #>  [1562,] 2.587721e-05 2.392261e-05 2.189589e-05 2.632803e-05 2.935349e-05 #>  [1563,] 3.453944e-05 2.045832e-05 5.582432e-05 4.834008e-05 4.017158e-05 #>  [1564,] 5.812480e-05 4.004614e-05 2.078272e-05 2.441414e-05 2.740901e-05 #>  [1565,] 7.488215e-05 9.492862e-05 2.461044e-04 1.884202e-04 1.310641e-04 #>  [1566,] 1.212536e-05 1.354898e-05 1.436232e-05 1.377874e-05 1.553651e-05 #>  [1567,] 5.822172e-05 6.679755e-05 3.452385e-05 5.125974e-05 7.335184e-05 #>  [1568,] 1.505964e-05 1.387292e-05 1.738755e-05 2.026156e-05 1.568292e-05 #>  [1569,] 1.709596e-05 1.826582e-05 2.637695e-05 2.505357e-05 2.186891e-05 #>  [1570,] 3.639590e-05 1.196364e-04 2.111416e-04 1.772386e-04 2.199470e-04 #>  [1571,] 1.266596e-05 1.260283e-05 1.287030e-05 1.487154e-05 1.499635e-05 #>  [1572,] 1.338181e-05 1.319045e-05 1.454850e-05 1.617818e-05 1.843658e-05 #>  [1573,] 1.328545e-05 1.362835e-05 1.459214e-05 1.402537e-05 1.401032e-05 #>  [1574,] 1.864435e-05 1.570668e-05 1.778338e-05 1.763095e-05 1.423610e-05 #>  [1575,] 1.298583e-05 1.247399e-05 1.417266e-05 1.409916e-05 1.394796e-05 #>  [1576,] 1.343785e-05 1.473494e-05 1.709267e-05 1.508326e-05 1.596025e-05 #>  [1577,] 2.738917e-04 2.894082e-04 4.543305e-04 4.135017e-04 2.985143e-04 #>  [1578,] 1.546391e-05 1.477878e-05 1.480185e-05 1.550758e-05 1.493717e-05 #>  [1579,] 1.397503e-05 1.862670e-05 1.803847e-05 1.688654e-05 2.070143e-05 #>  [1580,] 1.326173e-05 1.424010e-05 1.704485e-05 1.592291e-05 1.561103e-05 #>  [1581,] 1.376261e-05 1.341150e-05 1.165172e-05 1.252433e-05 1.211213e-05 #>  [1582,] 1.508351e-05 4.365299e-05 1.791422e-05 2.467503e-05 1.816817e-05 #>  [1583,] 1.059734e-05 9.866460e-06 1.143110e-05 1.209633e-05 1.125031e-05 #>  [1584,] 1.930537e-05 2.546157e-05 2.067545e-05 2.041823e-05 1.912228e-05 #>  [1585,] 1.148509e-05 1.066492e-05 1.117244e-05 1.212874e-05 1.122521e-05 #>  [1586,] 1.231122e-05 1.138537e-05 1.251585e-05 1.396630e-05 1.474219e-05 #>  [1587,] 1.462717e-05 1.431494e-05 1.674857e-05 1.692215e-05 1.690923e-05 #>  [1588,] 1.405598e-05 1.491432e-05 1.695321e-05 1.534105e-05 1.653167e-05 #>  [1589,] 1.519609e-05 1.583140e-05 1.537025e-05 1.532292e-05 1.526532e-05 #>  [1590,] 2.165665e-05 2.167614e-05 2.608664e-05 2.768368e-05 2.451003e-05 #>  [1591,] 1.295167e-05 1.285786e-05 1.481189e-05 1.489374e-05 1.533795e-05 #>  [1592,] 1.519431e-05 1.629427e-05 1.962478e-05 1.689141e-05 1.930125e-05 #>  [1593,] 3.434555e-04 3.643497e-04 6.989480e-04 4.801257e-04 5.949751e-04 #>  [1594,] 1.525994e-05 1.511492e-05 1.567373e-05 1.512851e-05 1.364177e-05 #>  [1595,] 1.751905e-05 1.713409e-05 2.283744e-05 2.673718e-05 2.315292e-05 #>  [1596,] 1.179687e-05 1.172977e-05 1.052906e-05 1.145426e-05 1.089645e-05 #>  [1597,] 8.544524e-05 1.211778e-04 2.479029e-04 2.074067e-04 1.263434e-04 #>  [1598,] 6.325115e-04 8.528666e-04 7.634719e-04 7.391879e-04 8.364650e-04 #>  [1599,] 1.863582e-05 2.318799e-05 2.138736e-05 1.760729e-05 1.586683e-05 #>  [1600,] 1.113456e-05 1.021137e-05 1.067256e-05 1.119515e-05 1.049011e-05 #>  [1601,] 1.233145e-05 1.174951e-05 1.323931e-05 1.305413e-05 1.330170e-05 #>  [1602,] 2.498249e-05 2.371840e-05 2.875889e-05 3.158202e-05 3.929717e-05 #>  [1603,] 1.386209e-05 1.670160e-05 2.150455e-05 1.674872e-05 1.591293e-05 #>  [1604,] 1.423588e-05 1.169722e-05 1.125758e-05 1.265071e-05 1.096252e-05 #>  [1605,] 1.602371e-05 1.534000e-05 1.348235e-05 1.435792e-05 1.424392e-05 #>  [1606,] 1.203410e-05 1.137049e-05 1.146843e-05 1.154650e-05 1.154999e-05 #>  [1607,] 1.329134e-05 1.405923e-05 1.537471e-05 1.440544e-05 1.483121e-05 #>  [1608,] 1.401217e-05 1.468068e-05 1.873580e-05 1.460522e-05 1.489822e-05 #>  [1609,] 1.583497e-05 1.436081e-05 1.681564e-05 1.487916e-05 1.591325e-05 #>  [1610,] 1.409362e-05 1.309665e-05 1.659936e-05 1.803930e-05 1.554057e-05 #>  [1611,] 1.470471e-05 1.386082e-05 1.346840e-05 1.237233e-05 1.391804e-05 #>  [1612,] 1.223998e-05 1.241992e-05 1.297639e-05 1.309359e-05 1.233883e-05 #>  [1613,] 1.297252e-05 1.429862e-05 1.423066e-05 1.511736e-05 1.488467e-05 #>  [1614,] 1.400466e-05 1.404122e-05 1.558033e-05 1.604618e-05 1.473108e-05 #>  [1615,] 1.194937e-05 1.383518e-05 1.646816e-05 1.600513e-05 1.556400e-05 #>  [1616,] 1.117854e-05 1.069792e-05 1.091856e-05 1.188540e-05 1.057563e-05 #>  [1617,] 4.971939e-05 7.038421e-05 1.772833e-05 1.662182e-05 1.522050e-05 #>  [1618,] 2.121411e-05 1.978035e-05 2.005354e-05 2.025509e-05 1.851516e-05 #>  [1619,] 2.363208e-05 2.736214e-05 1.893344e-05 2.084644e-05 2.506787e-05 #>  [1620,] 8.295628e-04 8.445642e-04 1.081585e-03 1.090300e-03 1.026361e-03 #>  [1621,] 2.136283e-05 2.084489e-05 1.817364e-05 1.977116e-05 2.067497e-05 #>  [1622,] 3.136992e-05 3.050023e-05 1.701842e-05 1.546899e-05 2.537126e-05 #>  [1623,] 1.251726e-05 1.266634e-05 1.339514e-05 1.355140e-05 1.380772e-05 #>  [1624,] 1.108607e-03 1.007272e-03 1.146072e-03 1.142019e-03 1.086965e-03 #>  [1625,] 2.357921e-05 2.198242e-05 1.868326e-05 2.119463e-05 1.929208e-05 #>  [1626,] 1.339234e-05 1.555186e-05 1.696492e-05 1.682477e-05 1.627835e-05 #>  [1627,] 1.316147e-05 1.200349e-05 1.157960e-05 1.146067e-05 1.174238e-05 #>  [1628,] 9.511338e-04 9.504909e-04 1.081358e-03 1.145916e-03 9.754374e-04 #>  [1629,] 1.394918e-05 1.576508e-05 1.828268e-05 1.674366e-05 1.464810e-05 #>  [1630,] 2.495618e-05 2.629685e-05 3.462158e-05 3.140061e-05 3.492367e-05 #>  [1631,] 1.259324e-05 1.200675e-05 1.245437e-05 1.293753e-05 1.274714e-05 #>  [1632,] 1.325962e-05 1.531251e-05 1.395771e-05 1.836205e-05 1.601942e-05 #>  [1633,] 2.332367e-05 1.824734e-05 1.268205e-05 1.476752e-05 3.245485e-05 #>  [1634,] 1.712485e-05 1.635748e-05 1.752935e-05 1.728544e-05 1.579071e-05 #>  [1635,] 1.592588e-05 1.556998e-05 1.948986e-05 1.678104e-05 1.623770e-05 #>  [1636,] 1.465065e-05 1.471530e-05 1.211680e-05 1.328713e-05 1.336633e-05 #>  [1637,] 2.429009e-05 2.236232e-05 3.426743e-05 4.108079e-05 2.950527e-05 #>  [1638,] 1.500118e-05 1.436945e-05 1.536638e-05 1.759681e-05 1.838464e-05 #>  [1639,] 1.453509e-05 1.385641e-05 1.663561e-05 1.731707e-05 1.722093e-05 #>  [1640,] 1.218571e-05 1.204382e-05 1.259607e-05 1.310688e-05 1.404773e-05 #>  [1641,] 1.351990e-05 1.351878e-05 1.611000e-05 1.725757e-05 1.749679e-05 #>  [1642,] 1.940343e-05 1.726892e-05 2.081388e-05 2.297303e-05 2.661280e-05 #>  [1643,] 2.676053e-05 3.421030e-05 3.444341e-05 3.871326e-05 2.777540e-05 #>  [1644,] 1.576621e-05 1.499105e-05 1.507867e-05 1.583739e-05 1.637511e-05 #>  [1645,] 1.453270e-05 1.352387e-05 1.479079e-05 1.559342e-05 1.604357e-05 #>  [1646,] 1.519358e-05 1.358252e-05 1.936777e-05 1.677467e-05 1.494756e-05 #>  [1647,] 1.252350e-05 1.123554e-05 1.133134e-05 1.246322e-05 1.094764e-05 #>  [1648,] 1.268839e-05 1.230830e-05 1.250346e-05 1.410078e-05 1.443983e-05 #>  [1649,] 1.985346e-05 2.011339e-05 2.231013e-05 2.707343e-05 4.531695e-05 #>  [1650,] 1.270833e-05 1.092660e-05 1.224863e-05 1.300006e-05 1.070411e-05 #>  [1651,] 5.035361e-05 4.857077e-05 3.895729e-05 3.717942e-05 3.372949e-05 #>  [1652,] 1.243262e-05 1.242481e-05 1.173664e-05 1.266326e-05 1.259682e-05 #>  [1653,] 1.935534e-05 1.726326e-05 1.749699e-05 2.017393e-05 2.016870e-05 #>  [1654,] 1.871799e-05 1.839288e-05 1.930649e-05 1.872786e-05 1.919189e-05 #>  [1655,] 1.346283e-05 1.300339e-05 1.256838e-05 1.305792e-05 1.264143e-05 #>  [1656,] 1.538104e-05 1.405528e-05 1.436314e-05 1.708348e-05 1.804999e-05 #>  [1657,] 1.837233e-05 1.821244e-05 4.059677e-05 3.772110e-05 4.001990e-05 #>  [1658,] 1.619483e-05 1.441645e-05 1.844428e-05 2.001937e-05 1.809787e-05 #>  [1659,] 1.449724e-05 1.335600e-05 1.483947e-05 1.596963e-05 1.577611e-05 #>  [1660,] 1.647065e-05 1.643867e-05 1.779827e-05 1.860097e-05 1.757886e-05 #>  [1661,] 1.649676e-05 2.094400e-05 2.081945e-05 2.012415e-05 1.688439e-05 #>  [1662,] 3.164602e-05 3.987567e-05 6.788017e-05 8.637246e-05 1.438986e-04 #>  [1663,] 1.462932e-05 1.375136e-05 1.373252e-05 1.597747e-05 1.571511e-05 #>  [1664,] 1.303068e-05 1.377695e-05 1.487405e-05 1.526482e-05 1.483044e-05 #>  [1665,] 1.403657e-05 1.563414e-05 2.044255e-05 1.601699e-05 1.638009e-05 #>  [1666,] 2.866044e-05 4.094186e-05 6.427132e-05 6.646814e-05 7.573174e-05 #>  [1667,] 1.643567e-05 1.398589e-05 1.898175e-05 2.061241e-05 1.847485e-05 #>  [1668,] 3.016589e-05 2.434113e-05 2.770441e-05 2.126179e-05 1.917830e-05 #>  [1669,] 2.247466e-05 1.612936e-05 1.527478e-05 1.597324e-05 1.575216e-05 #>  [1670,] 2.120746e-05 1.782264e-05 1.806274e-05 2.794013e-05 3.451622e-05 #>  [1671,] 1.279421e-04 8.798668e-05 6.419159e-05 6.999303e-05 8.690436e-05 #>  [1672,] 2.489214e-05 2.684878e-05 2.541819e-05 2.807273e-05 4.101061e-05 #>  [1673,] 7.972085e-04 3.853107e-04 4.274251e-04 3.567726e-04 2.148793e-04 #>  [1674,] 2.294964e-05 2.046041e-05 3.257275e-05 3.351703e-05 3.176095e-05 #>  [1675,] 1.255411e-05 1.188684e-05 1.221493e-05 1.402589e-05 1.337459e-05 #>  [1676,] 3.690393e-05 3.836399e-05 5.891660e-05 6.684577e-05 5.344296e-05 #>  [1677,] 1.345475e-05 1.182135e-05 1.341959e-05 1.525464e-05 1.395020e-05 #>  [1678,] 1.300022e-05 1.431812e-05 1.761508e-05 1.423238e-05 1.489264e-05 #>  [1679,] 1.259632e-05 1.321973e-05 1.441899e-05 1.483375e-05 1.520983e-05 #>  [1680,] 1.689537e-05 1.454713e-05 1.375164e-05 1.699228e-05 1.648891e-05 #>  [1681,] 3.004167e-04 2.100723e-04 2.688538e-04 3.736446e-04 8.212143e-04 #>  [1682,] 1.307500e-05 1.312068e-05 1.310213e-05 1.367788e-05 1.377959e-05 #>  [1683,] 1.850405e-05 1.806406e-05 1.504695e-05 1.990091e-05 2.683584e-05 #>  [1684,] 1.564368e-05 1.569901e-05 1.671901e-05 1.663991e-05 1.654128e-05 #>  [1685,] 2.560328e-05 2.584663e-05 2.275959e-05 2.404197e-05 2.654165e-05 #>  [1686,] 1.529283e-05 1.365823e-05 1.648468e-05 1.544905e-05 1.517661e-05 #>  [1687,] 1.282306e-05 1.393126e-05 1.304580e-05 1.298223e-05 1.352450e-05 #>  [1688,] 2.168648e-05 1.729478e-05 1.785983e-05 1.934337e-05 1.835537e-05 #>  [1689,] 1.590847e-05 1.403522e-05 1.584087e-05 1.605938e-05 1.537844e-05 #>  [1690,] 1.628849e-05 1.780450e-05 1.959807e-05 1.617868e-05 1.602754e-05 #>  [1691,] 1.290400e-05 1.338783e-05 1.577715e-05 1.543002e-05 1.531642e-05 #>  [1692,] 1.471513e-05 1.739213e-05 2.000031e-05 1.626150e-05 1.701907e-05 #>  [1693,] 3.719086e-05 3.432631e-05 3.012053e-05 3.044611e-05 2.860059e-05 #>  [1694,] 2.662071e-05 2.724494e-05 4.692819e-05 5.430595e-05 4.864678e-05 #>  [1695,] 1.862676e-05 2.055054e-05 2.416587e-05 2.606261e-05 2.530237e-05 #>  [1696,] 2.108060e-05 2.481392e-05 3.002117e-05 3.037913e-05 2.629757e-05 #>  [1697,] 4.918040e-04 5.329188e-04 4.067620e-04 1.450378e-04 4.322005e-05 #>  [1698,] 1.590004e-05 2.029911e-05 2.766416e-05 2.170785e-05 2.325231e-05 #>  [1699,] 1.528123e-05 1.519459e-05 1.633856e-05 1.763099e-05 1.798944e-05 #>  [1700,] 1.261376e-05 1.275666e-05 1.364141e-05 1.352429e-05 1.371695e-05 #>  [1701,] 1.373635e-05 1.238952e-05 1.273209e-05 1.419269e-05 1.538503e-05 #>  [1702,] 1.422325e-05 1.391076e-05 1.741906e-05 1.655357e-05 1.794710e-05 #>  [1703,] 2.245988e-05 1.887801e-05 1.788083e-05 1.816573e-05 1.934570e-05 #>  [1704,] 1.482118e-05 1.412521e-05 1.702674e-05 1.913893e-05 1.693149e-05 #>  [1705,] 1.362147e-05 1.261572e-05 1.270580e-05 1.429279e-05 1.324813e-05 #>  [1706,] 2.921491e-05 1.800994e-05 2.103971e-05 2.223550e-05 1.969384e-05 #>  [1707,] 1.467769e-05 1.468876e-05 1.610902e-05 1.752815e-05 1.622964e-05 #>  [1708,] 2.233920e-05 2.287448e-05 3.755138e-05 4.181795e-05 3.460881e-05 #>  [1709,] 1.548140e-05 1.243023e-05 1.155858e-05 1.201287e-05 1.152162e-05 #>  [1710,] 1.952794e-05 1.825810e-05 1.782207e-05 1.931932e-05 2.034238e-05 #>  [1711,] 1.305584e-05 1.431344e-05 1.592734e-05 1.540133e-05 1.603041e-05 #>  [1712,] 7.840455e-05 7.919219e-05 4.625457e-05 4.592971e-05 5.020544e-05 #>  [1713,] 1.517306e-05 1.496552e-05 1.884112e-05 2.081172e-05 2.199461e-05 #>  [1714,] 1.319006e-05 1.328856e-05 1.411240e-05 1.476125e-05 1.395843e-05 #>  [1715,] 1.867864e-04 8.178227e-05 2.259064e-05 2.136210e-05 1.962626e-05 #>  [1716,] 1.307665e-05 1.701531e-05 1.837625e-05 1.431721e-05 1.383358e-05 #>  [1717,] 1.166005e-05 1.105118e-05 1.260259e-05 1.267106e-05 1.236762e-05 #>  [1718,] 1.478370e-05 1.456586e-05 1.394818e-05 1.535131e-05 1.624555e-05 #>  [1719,] 1.381959e-05 1.367209e-05 1.563158e-05 1.687828e-05 1.802296e-05 #>  [1720,] 1.350713e-05 1.419672e-05 1.551124e-05 1.497077e-05 1.451310e-05 #>  [1721,] 1.397547e-05 1.314401e-05 1.399616e-05 1.547778e-05 1.489970e-05 #>  [1722,] 1.377184e-05 1.327431e-05 1.631826e-05 1.661536e-05 1.502395e-05 #>  [1723,] 5.814273e-05 6.185533e-05 1.392765e-04 1.057523e-04 1.146450e-04 #>  [1724,] 1.447122e-05 2.068510e-05 2.788548e-05 1.753643e-05 1.849125e-05 #>  [1725,] 1.127245e-05 1.068970e-05 1.061358e-05 1.123313e-05 1.086465e-05 #>  [1726,] 3.167265e-05 2.893952e-05 2.011563e-05 2.043016e-05 2.220708e-05 #>  [1727,] 2.635641e-05 1.917534e-05 3.551892e-05 3.110321e-05 4.486695e-05 #>  [1728,] 1.779759e-05 2.356201e-05 3.002904e-05 2.235689e-05 2.237000e-05 #>  [1729,] 1.173225e-05 1.170019e-05 1.216341e-05 1.232805e-05 1.226939e-05 #>  [1730,] 1.253060e-05 1.235919e-05 1.334122e-05 1.332304e-05 1.358255e-05 #>  [1731,] 1.396599e-05 1.240807e-05 1.390692e-05 1.618501e-05 1.722358e-05 #>  [1732,] 1.942210e-05 2.457329e-05 1.707539e-05 1.677587e-05 1.693365e-05 #>  [1733,] 1.169548e-05 1.097053e-05 1.111105e-05 1.086434e-05 1.149676e-05 #>  [1734,] 1.325605e-05 1.340773e-05 1.603678e-05 1.577917e-05 1.531639e-05 #>  [1735,] 1.280534e-05 1.245006e-05 1.356521e-05 1.490419e-05 1.473735e-05 #>  [1736,] 4.098667e-05 3.199592e-05 3.956061e-05 3.381885e-05 3.485928e-05 #>  [1737,] 1.479358e-05 1.564912e-05 1.757501e-05 1.794317e-05 1.726611e-05 #>  [1738,] 2.224983e-05 2.845790e-05 4.390298e-05 3.991820e-05 3.599482e-05 #>  [1739,] 4.213098e-05 3.631370e-05 2.085008e-05 2.332067e-05 2.695942e-05 #>  [1740,] 1.550993e-05 1.540646e-05 1.430327e-05 1.578336e-05 1.592801e-05 #>  [1741,] 1.961752e-05 1.917282e-05 2.563498e-05 2.541628e-05 2.683256e-05 #>  [1742,] 1.125663e-05 1.150385e-05 1.202834e-05 1.180740e-05 1.081682e-05 #>  [1743,] 1.395157e-05 1.208195e-05 1.332701e-05 1.555892e-05 1.517168e-05 #>  [1744,] 5.462064e-05 4.702093e-05 3.061071e-05 3.269675e-05 3.749600e-05 #>  [1745,] 4.445798e-05 4.665365e-05 4.696832e-05 3.411143e-05 1.872737e-05 #>  [1746,] 1.526616e-05 1.778251e-05 1.947437e-05 1.872558e-05 1.644946e-05 #>  [1747,] 1.572678e-05 1.770315e-05 1.368580e-05 1.374482e-05 1.586759e-05 #>  [1748,] 1.628431e-05 1.576146e-05 4.344769e-05 3.446844e-05 2.439660e-05 #>  [1749,] 1.607006e-05 1.662821e-05 1.934816e-05 1.745212e-05 1.755003e-05 #>  [1750,] 2.725102e-05 2.357727e-05 2.056993e-05 1.920171e-05 1.779759e-05 #>  [1751,] 1.317479e-05 1.429218e-05 1.506988e-05 1.513615e-05 1.527154e-05 #>  [1752,] 7.705002e-05 7.130418e-05 1.080728e-04 8.914251e-05 7.444536e-05 #>  [1753,] 1.430106e-05 1.114608e-05 1.230491e-05 1.351033e-05 1.308875e-05 #>  [1754,] 1.477274e-05 1.754000e-05 2.626330e-05 1.761561e-05 1.653697e-05 #>  [1755,] 1.297271e-05 1.176726e-05 1.471831e-05 1.604438e-05 1.449360e-05 #>  [1756,] 1.493651e-05 1.611265e-05 1.955197e-05 1.607494e-05 1.663917e-05 #>  [1757,] 1.420434e-05 1.491672e-05 1.638431e-05 1.638782e-05 1.584311e-05 #>  [1758,] 8.209799e-05 1.291618e-04 1.852913e-04 1.394875e-04 9.305057e-05 #>  [1759,] 1.883154e-05 1.849689e-05 1.852784e-05 2.405219e-05 2.444480e-05 #>  [1760,] 1.660357e-05 1.490791e-05 1.519698e-05 1.778739e-05 1.750445e-05 #>  [1761,] 2.495458e-05 2.497893e-05 2.309888e-05 2.828192e-05 3.250990e-05 #>  [1762,] 2.084834e-05 2.190092e-05 3.862394e-05 4.269469e-05 4.088988e-05 #>  [1763,] 1.713552e-05 1.659811e-05 1.793442e-05 1.825471e-05 1.975153e-05 #>  [1764,] 1.365288e-05 1.324409e-05 1.326044e-05 1.504571e-05 1.423641e-05 #>  [1765,] 1.949983e-05 1.777055e-05 2.660278e-05 2.909014e-05 2.588536e-05 #>  [1766,] 1.747557e-05 1.879722e-05 1.887310e-05 1.971932e-05 1.749595e-05 #>  [1767,] 1.784801e-05 1.727987e-05 1.877444e-05 1.655432e-05 1.639807e-05 #>  [1768,] 5.767825e-05 4.569794e-05 4.723150e-05 5.105352e-05 4.497820e-05 #>  [1769,] 1.884912e-05 1.905739e-05 2.124592e-05 2.192341e-05 1.863445e-05 #>  [1770,] 1.558085e-05 1.529586e-05 1.522789e-05 1.704924e-05 1.649458e-05 #>  [1771,] 3.467830e-05 3.213019e-05 6.124129e-05 7.386903e-05 6.777664e-05 #>  [1772,] 1.403346e-05 1.590862e-05 2.123397e-05 1.594404e-05 1.628604e-05 #>  [1773,] 1.470888e-05 1.528236e-05 1.818353e-05 1.903742e-05 1.781302e-05 #>  [1774,] 5.913148e-05 9.289460e-05 1.042114e-04 9.886837e-05 8.639370e-05 #>  [1775,] 1.348189e-05 1.327647e-05 1.360323e-05 1.453769e-05 1.476503e-05 #>  [1776,] 1.681209e-05 1.606308e-05 1.602267e-05 1.724763e-05 1.704297e-05 #>  [1777,] 8.818473e-05 4.481006e-05 1.117122e-04 1.163315e-04 1.163123e-04 #>  [1778,] 1.573779e-05 1.427920e-05 1.504739e-05 1.666517e-05 2.237841e-05 #>  [1779,] 2.520901e-05 2.278228e-05 2.329583e-05 2.420381e-05 2.370150e-05 #>  [1780,] 1.543113e-05 1.476944e-05 1.458284e-05 1.276494e-05 1.269862e-05 #>  [1781,] 1.734839e-05 1.979979e-05 1.838596e-05 1.834906e-05 1.846318e-05 #>  [1782,] 3.468674e-05 5.064576e-05 6.817349e-05 6.331817e-05 6.158734e-05 #>  [1783,] 1.624017e-05 1.548532e-05 1.994248e-05 2.103237e-05 2.635183e-05 #>  [1784,] 1.345540e-05 1.286686e-05 1.349303e-05 1.508085e-05 1.671676e-05 #>  [1785,] 1.354604e-05 1.277091e-05 1.325881e-05 1.410729e-05 1.370489e-05 #>  [1786,] 5.147433e-05 8.717798e-05 7.604903e-05 7.393433e-05 8.206812e-05 #>  [1787,] 2.964192e-05 2.243371e-05 2.730622e-05 3.934670e-05 3.647828e-05 #>  [1788,] 1.723807e-05 1.692502e-05 1.541948e-05 1.446322e-05 1.494348e-05 #>  [1789,] 2.341708e-05 3.764067e-05 2.010866e-05 1.676500e-05 1.504521e-05 #>  [1790,] 1.277389e-05 1.257181e-05 1.421665e-05 1.553091e-05 1.651141e-05 #>  [1791,] 3.589888e-05 2.347062e-05 2.654721e-05 2.936142e-05 2.771939e-05 #>  [1792,] 2.244980e-04 2.387943e-04 1.262137e-04 1.432540e-04 1.796711e-04 #>  [1793,] 1.692705e-05 1.585437e-05 1.692716e-05 1.743203e-05 1.643951e-05 #>  [1794,] 1.827232e-05 2.470020e-05 2.815017e-05 2.376046e-05 2.257801e-05 #>  [1795,] 1.326496e-05 1.449068e-05 1.419797e-05 1.504164e-05 1.484658e-05 #>  [1796,] 5.981520e-05 5.508106e-05 4.268202e-05 6.309183e-05 4.639161e-05 #>  [1797,] 6.353451e-04 3.968951e-04 5.942580e-04 4.438131e-04 3.242390e-04 #>  [1798,] 2.858673e-05 2.180615e-05 3.281500e-05 2.775051e-05 2.197515e-05 #>  [1799,] 1.587754e-05 1.697022e-05 1.581407e-05 1.603542e-05 1.909637e-05 #>  [1800,] 1.820020e-05 1.639919e-05 2.269992e-05 2.332793e-05 2.302134e-05 #>  [1801,] 1.456993e-05 1.497021e-05 1.342837e-05 1.515458e-05 1.423422e-05 #>  [1802,] 1.615897e-05 1.436293e-05 1.705925e-05 1.815690e-05 1.724099e-05 #>  [1803,] 1.856311e-05 2.072053e-05 2.225405e-05 2.309496e-05 2.674004e-05 #>  [1804,] 1.725190e-05 1.494503e-05 1.980201e-05 2.037134e-05 1.804457e-05 #>  [1805,] 1.208120e-05 1.085840e-05 1.199089e-05 1.384236e-05 1.341244e-05 #>  [1806,] 2.191060e-05 2.178201e-05 3.626836e-05 4.754224e-05 5.358975e-05 #>  [1807,] 1.530440e-05 1.930964e-05 1.931401e-05 2.026649e-05 2.076123e-05 #>  [1808,] 1.460690e-05 1.514243e-05 1.565994e-05 1.553331e-05 1.484750e-05 #>  [1809,] 2.476038e-05 2.281484e-05 4.413274e-05 5.062012e-05 4.163622e-05 #>  [1810,] 2.094864e-05 1.771415e-05 1.776317e-05 1.953644e-05 1.773376e-05 #>  [1811,] 2.146507e-05 1.617062e-05 2.127192e-05 2.726665e-05 3.609896e-05 #>  [1812,] 1.498663e-05 1.501493e-05 2.116990e-05 2.146060e-05 2.410119e-05 #>  [1813,] 1.467694e-05 1.442223e-05 1.525807e-05 1.548613e-05 1.626942e-05 #>  [1814,] 1.375398e-05 1.347623e-05 1.400942e-05 1.469810e-05 1.411522e-05 #>  [1815,] 1.456306e-05 1.420182e-05 1.631516e-05 1.910924e-05 1.605826e-05 #>  [1816,] 1.703000e-05 2.071295e-05 4.563696e-05 3.089590e-05 2.336381e-05 #>  [1817,] 1.341231e-05 1.248898e-05 1.236521e-05 1.474946e-05 1.476360e-05 #>  [1818,] 1.440673e-05 1.368509e-05 1.281732e-05 1.387326e-05 1.327173e-05 #>  [1819,] 1.422477e-05 1.361643e-05 1.522988e-05 1.808175e-05 1.813435e-05 #>  [1820,] 1.543781e-05 1.399692e-05 1.433049e-05 1.697877e-05 1.711288e-05 #>  [1821,] 1.373774e-05 1.285871e-05 1.329602e-05 1.500475e-05 1.669333e-05 #>  [1822,] 1.416794e-05 1.434910e-05 1.559027e-05 1.572700e-05 1.533840e-05 #>  [1823,] 1.646142e-05 1.630464e-05 1.546501e-05 1.627413e-05 1.462001e-05 #>  [1824,] 1.666226e-05 1.434056e-05 1.599069e-05 1.639845e-05 1.525115e-05 #>  [1825,] 4.522546e-04 2.988673e-04 7.799043e-05 6.222835e-05 2.569525e-05 #>  [1826,] 1.931082e-05 1.759898e-05 1.507002e-05 1.573342e-05 1.521518e-05 #>  [1827,] 1.237374e-05 1.279931e-05 1.294991e-05 1.313365e-05 1.298303e-05 #>  [1828,] 1.568803e-05 1.667100e-05 1.982140e-05 2.077794e-05 2.045438e-05 #>  [1829,] 1.397444e-05 1.673412e-05 1.592380e-05 1.548608e-05 1.530707e-05 #>  [1830,] 4.239558e-05 3.392448e-05 3.591193e-05 3.587075e-05 2.749680e-05 #>  [1831,] 1.214109e-05 1.191357e-05 1.242336e-05 1.226644e-05 1.229463e-05 #>  [1832,] 1.134384e-05 1.128952e-05 1.165401e-05 1.215376e-05 1.102384e-05 #>  [1833,] 1.806830e-05 1.872385e-05 2.125689e-05 3.467487e-05 5.381355e-05 #>  [1834,] 1.777021e-05 1.728836e-05 2.496659e-05 2.099425e-05 2.099497e-05 #>  [1835,] 1.583114e-05 1.455708e-05 1.677146e-05 1.934761e-05 1.757951e-05 #>  [1836,] 1.361096e-05 1.328106e-05 1.367363e-05 1.382670e-05 1.325609e-05 #>  [1837,] 1.369932e-05 1.424347e-05 1.610535e-05 1.664673e-05 1.574144e-05 #>  [1838,] 4.305385e-04 3.577576e-04 6.902321e-04 4.616518e-04 4.292790e-04 #>  [1839,] 1.383887e-05 1.344361e-05 1.729981e-05 1.851876e-05 1.674309e-05 #>  [1840,] 2.256639e-05 2.212306e-05 1.817699e-05 2.007068e-05 2.188408e-05 #>  [1841,] 2.132635e-05 2.238803e-05 3.090283e-05 3.375587e-05 4.291790e-05 #>  [1842,] 1.097103e-05 1.164300e-05 1.308251e-05 1.174558e-05 1.226051e-05 #>  [1843,] 1.688700e-05 1.446749e-05 1.350600e-05 1.612383e-05 1.443827e-05 #>  [1844,] 1.459912e-05 1.528910e-05 1.469085e-05 1.561484e-05 1.510632e-05 #>  [1845,] 1.764032e-05 1.787555e-05 1.996461e-05 1.955364e-05 1.702003e-05 #>  [1846,] 2.367613e-05 2.607718e-05 2.535060e-05 2.796434e-05 3.697961e-05 #>  [1847,] 2.669333e-05 2.265473e-05 3.312501e-05 3.337823e-05 2.588111e-05 #>  [1848,] 1.401020e-05 1.245384e-05 1.172066e-05 1.372203e-05 1.319117e-05 #>  [1849,] 1.331385e-05 1.298294e-05 1.189403e-05 1.235497e-05 1.239594e-05 #>  [1850,] 1.439137e-05 1.478211e-05 1.488188e-05 1.629217e-05 1.642401e-05 #>  [1851,] 1.352242e-05 1.429928e-05 1.624618e-05 1.692114e-05 1.591733e-05 #>  [1852,] 1.309094e-05 1.108413e-05 1.198158e-05 1.252841e-05 1.233588e-05 #>  [1853,] 1.307207e-05 1.259129e-05 1.323624e-05 1.405761e-05 1.422314e-05 #>  [1854,] 1.713472e-05 1.732464e-05 1.559490e-05 1.489378e-05 1.469947e-05 #>  [1855,] 3.461041e-05 4.340773e-05 3.400313e-05 3.150764e-05 3.611919e-05 #>  [1856,] 4.932621e-05 2.841017e-05 3.001412e-05 2.767118e-05 1.561857e-05 #>  [1857,] 3.150103e-05 4.163271e-05 1.048183e-04 9.241684e-05 9.046423e-05 #>  [1858,] 1.660378e-05 1.716967e-05 1.565114e-05 1.506451e-05 1.476804e-05 #>  [1859,] 1.545656e-05 1.615717e-05 1.646191e-05 1.633899e-05 1.515249e-05 #>  [1860,] 1.498615e-05 1.652657e-05 2.098691e-05 2.006236e-05 2.067204e-05 #>  [1861,] 1.734319e-05 2.237423e-05 3.873812e-05 2.322466e-05 3.218530e-05 #>  [1862,] 1.165283e-05 1.120823e-05 1.229874e-05 1.219212e-05 1.103870e-05 #>  [1863,] 1.426539e-05 1.209911e-05 1.370194e-05 1.571203e-05 1.454672e-05 #>  [1864,] 9.665743e-05 1.103476e-04 1.836096e-04 2.004006e-04 3.011925e-04 #>  [1865,] 1.335839e-05 1.426866e-05 1.553032e-05 1.487310e-05 1.611528e-05 #>  [1866,] 1.667158e-05 1.726178e-05 2.566783e-05 1.964748e-05 1.603024e-05 #>  [1867,] 1.513025e-05 1.505774e-05 1.336702e-05 1.338047e-05 1.247245e-05 #>  [1868,] 5.949151e-04 4.957192e-04 1.058849e-04 3.097478e-04 6.325177e-04 #>  [1869,] 1.433491e-05 1.389310e-05 1.597534e-05 1.709946e-05 1.786663e-05 #>  [1870,] 7.161337e-05 5.729106e-05 1.030323e-04 1.050889e-04 7.015600e-05 #>  [1871,] 6.987499e-05 5.989778e-05 1.295253e-04 1.280937e-04 7.357463e-05 #>  [1872,] 9.084755e-05 8.140345e-05 1.701772e-05 2.044685e-05 1.590148e-05 #>  [1873,] 1.510376e-05 1.660977e-05 1.943827e-05 2.044616e-05 1.993136e-05 #>  [1874,] 1.747913e-05 2.097940e-05 3.358306e-05 3.199589e-05 3.298332e-05 #>  [1875,] 1.443538e-05 1.482307e-05 1.802008e-05 1.547024e-05 1.609399e-05 #>  [1876,] 3.405424e-04 2.327251e-04 1.753174e-04 1.653431e-04 1.496861e-04 #>  [1877,] 1.446487e-05 1.515591e-05 1.738338e-05 1.571395e-05 1.663223e-05 #>  [1878,] 1.558869e-05 1.841065e-05 1.944176e-05 1.656654e-05 1.680188e-05 #>  [1879,] 2.137742e-05 2.036487e-05 1.802895e-05 1.778194e-05 1.695943e-05 #>  [1880,] 1.381880e-05 1.353145e-05 1.441654e-05 1.261279e-05 1.314259e-05 #>  [1881,] 1.407372e-05 1.299589e-05 1.253364e-05 1.289300e-05 1.251806e-05 #>  [1882,] 4.399020e-05 2.605722e-05 1.761715e-05 2.143143e-05 1.737730e-05 #>  [1883,] 1.773120e-05 1.804254e-05 1.582815e-05 1.703613e-05 1.659843e-05 #>  [1884,] 5.677679e-05 6.599003e-05 1.125155e-04 1.102805e-04 7.221705e-05 #>  [1885,] 3.355583e-05 2.193561e-05 4.613224e-05 6.375448e-05 1.199768e-04 #>  [1886,] 2.247169e-05 2.858834e-05 3.367076e-05 3.359714e-05 3.777007e-05 #>  [1887,] 2.691045e-05 3.770762e-05 1.132484e-04 1.104578e-04 6.896400e-05 #>  [1888,] 1.430574e-05 1.653947e-05 1.888105e-05 1.964701e-05 1.846862e-05 #>  [1889,] 2.127788e-05 2.047231e-05 1.535992e-05 1.746197e-05 2.109552e-05 #>  [1890,] 1.010943e-03 9.555554e-04 8.290573e-04 9.003082e-04 8.530516e-04 #>  [1891,] 3.325992e-05 4.331991e-05 4.271567e-05 5.357129e-05 1.870384e-04 #>  [1892,] 1.461883e-05 1.395601e-05 1.519822e-05 1.629765e-05 1.573709e-05 #>  [1893,] 1.304753e-05 1.368194e-05 1.444103e-05 1.521819e-05 1.410480e-05 #>  [1894,] 1.451269e-05 1.556658e-05 1.670645e-05 1.916123e-05 1.873686e-05 #>  [1895,] 1.535231e-05 2.220982e-05 2.349522e-05 1.853055e-05 2.053957e-05 #>  [1896,] 1.117754e-05 1.085543e-05 1.178093e-05 1.142624e-05 1.243586e-05 #>  [1897,] 2.103998e-05 2.384806e-05 2.238163e-05 2.264232e-05 2.286924e-05 #>  [1898,] 1.262116e-05 1.266063e-05 1.266399e-05 1.363772e-05 1.395508e-05 #>  [1899,] 1.497453e-05 1.496356e-05 1.549778e-05 1.629512e-05 1.692798e-05 #>  [1900,] 1.615066e-05 1.550463e-05 1.640786e-05 2.043199e-05 1.870645e-05 #>  [1901,] 1.267204e-05 1.265633e-05 1.353010e-05 1.400046e-05 1.336325e-05 #>  [1902,] 1.437171e-05 1.260039e-05 1.351162e-05 1.635722e-05 1.514790e-05 #>  [1903,] 1.246018e-05 1.236183e-05 1.377235e-05 1.372273e-05 1.424358e-05 #>  [1904,] 1.278233e-05 1.435635e-05 1.566131e-05 1.718450e-05 1.775720e-05 #>  [1905,] 1.383170e-05 1.499412e-05 1.472513e-05 1.539362e-05 1.643812e-05 #>  [1906,] 1.438182e-05 1.418622e-05 1.405183e-05 1.691192e-05 1.668144e-05 #>  [1907,] 1.537015e-05 1.538589e-05 1.611979e-05 1.885798e-05 1.941164e-05 #>  [1908,] 4.557155e-04 4.480737e-04 5.682524e-04 5.903850e-04 9.338119e-04 #>  [1909,] 1.167730e-04 1.976781e-04 2.105820e-04 1.952418e-04 2.027274e-04 #>  [1910,] 1.252879e-05 1.307931e-05 1.512061e-05 1.684794e-05 1.723886e-05 #>  [1911,] 2.675014e-05 1.896326e-05 2.834808e-05 2.551957e-05 2.983931e-05 #>  [1912,] 2.642558e-05 3.251377e-05 3.706575e-05 3.090533e-05 2.537696e-05 #>  [1913,] 2.408024e-05 2.140539e-05 2.074136e-05 3.128424e-05 2.609595e-05 #>  [1914,] 1.428216e-05 1.414145e-05 1.577412e-05 1.675010e-05 1.311332e-05 #>  [1915,] 2.689586e-05 2.444120e-05 2.812692e-05 3.125494e-05 2.669125e-05 #>  [1916,] 9.052391e-04 9.046024e-04 1.124241e-03 9.324870e-04 9.876931e-04 #>  [1917,] 1.661124e-05 2.011590e-05 2.666174e-05 1.871465e-05 1.896753e-05 #>  [1918,] 2.740419e-05 2.557756e-05 1.965988e-05 2.164629e-05 2.306156e-05 #>  [1919,] 4.165100e-05 1.988805e-05 2.531411e-05 2.752848e-05 2.665108e-05 #>  [1920,] 1.345523e-04 1.163110e-04 6.997674e-05 5.786343e-05 5.669180e-05 #>  [1921,] 1.438381e-05 1.527507e-05 1.489552e-05 1.527658e-05 1.508963e-05 #>  [1922,] 1.594229e-05 1.553544e-05 1.659544e-05 1.657483e-05 1.610204e-05 #>  [1923,] 1.626211e-05 1.565250e-05 1.930792e-05 1.660914e-05 1.634826e-05 #>  [1924,] 1.222707e-05 1.141230e-05 1.200810e-05 1.292749e-05 1.134924e-05 #>  [1925,] 2.683833e-05 2.068778e-05 1.852511e-05 1.784048e-05 1.648033e-05 #>  [1926,] 1.338065e-05 1.337062e-05 1.416629e-05 1.373936e-05 1.383090e-05 #>  [1927,] 1.387944e-05 1.539475e-05 1.491236e-05 1.395490e-05 1.367005e-05 #>  [1928,] 1.624089e-05 1.584663e-05 1.389558e-05 1.602655e-05 1.628135e-05 #>  [1929,] 1.250556e-05 1.230237e-05 1.253622e-05 1.396002e-05 1.326307e-05 #>  [1930,] 1.428385e-05 1.532302e-05 1.648885e-05 1.973271e-05 2.133751e-05 #>  [1931,] 2.256929e-05 1.864226e-05 1.778078e-05 1.867312e-05 2.066269e-05 #>  [1932,] 1.199233e-05 1.118134e-05 1.165306e-05 1.276147e-05 1.257115e-05 #>  [1933,] 1.941162e-05 1.808081e-05 2.202603e-05 2.256487e-05 7.321973e-05 #>  [1934,] 1.704547e-05 1.419871e-05 2.509073e-05 3.216682e-05 2.156688e-05 #>  [1935,] 1.300001e-05 1.229588e-05 1.332972e-05 1.391375e-05 1.556027e-05 #>  [1936,] 1.438568e-05 1.485234e-05 1.608344e-05 1.643471e-05 1.626890e-05 #>  [1937,] 1.616710e-05 1.595129e-05 1.429020e-05 1.466759e-05 1.618215e-05 #>  [1938,] 4.560373e-05 3.383429e-05 2.091576e-05 2.568439e-05 2.507631e-05 #>  [1939,] 1.272630e-05 1.213444e-05 1.241892e-05 1.402807e-05 1.334584e-05 #>  [1940,] 1.310830e-05 1.306994e-05 1.446379e-05 1.594621e-05 1.599866e-05 #>  [1941,] 9.833489e-05 1.082963e-04 8.113264e-05 8.445975e-05 6.884745e-05 #>  [1942,] 2.444141e-05 2.388480e-05 3.356800e-05 2.384505e-05 2.453748e-05 #>  [1943,] 1.351434e-05 1.227014e-05 1.218046e-05 1.390849e-05 1.362777e-05 #>  [1944,] 1.448722e-05 1.426171e-05 1.642625e-05 1.571743e-05 1.746214e-05 #>  [1945,] 2.029800e-05 1.504093e-05 1.723385e-05 1.929376e-05 2.001933e-05 #>  [1946,] 1.733510e-05 1.699547e-05 1.537888e-05 1.998012e-05 1.981614e-05 #>  [1947,] 2.089853e-05 2.260266e-05 1.835426e-05 2.013013e-05 1.932053e-05 #>  [1948,] 1.361337e-05 1.360289e-05 1.369761e-05 1.675070e-05 1.725553e-05 #>  [1949,] 1.437752e-05 1.310414e-05 1.545765e-05 1.619481e-05 1.586396e-05 #>  [1950,] 2.858419e-05 2.538341e-05 2.340812e-05 2.310040e-05 2.065720e-05 #>  [1951,] 1.342807e-05 1.303164e-05 1.346263e-05 1.516264e-05 1.316559e-05 #>  [1952,] 1.714993e-05 1.848746e-05 1.818867e-05 1.660629e-05 1.567378e-05 #>  [1953,] 1.100598e-04 9.663690e-05 5.140656e-05 6.423927e-05 5.569917e-05 #>  [1954,] 1.861730e-05 1.607177e-05 1.688865e-05 1.639355e-05 1.744160e-05 #>  [1955,] 1.672662e-05 1.542437e-05 1.441545e-05 1.668747e-05 1.476267e-05 #>  [1956,] 1.341060e-05 1.496595e-05 1.408070e-05 1.407059e-05 1.314122e-05 #>  [1957,] 1.291895e-05 1.321152e-05 1.763597e-05 1.772621e-05 1.986097e-05 #>  [1958,] 1.518697e-05 1.490159e-05 1.585383e-05 1.693877e-05 1.670882e-05 #>  [1959,] 2.394734e-05 2.841419e-05 8.992781e-05 5.923985e-05 6.001130e-05 #>  [1960,] 2.244831e-05 1.264149e-05 1.277987e-05 1.334949e-05 1.232109e-05 #>  [1961,] 1.456090e-05 1.962043e-05 2.241789e-05 2.364460e-05 5.573467e-05 #>  [1962,] 1.727963e-05 1.590789e-05 2.133316e-05 2.391041e-05 2.063340e-05 #>  [1963,] 1.627460e-05 2.186050e-05 1.890442e-05 1.729491e-05 1.958290e-05 #>  [1964,] 1.284989e-05 1.255779e-05 1.278411e-05 1.271618e-05 1.257767e-05 #>  [1965,] 1.982550e-05 1.679503e-05 1.818513e-05 1.572652e-05 1.611644e-05 #>  [1966,] 1.560942e-05 1.612767e-05 1.767349e-05 2.149212e-05 2.113987e-05 #>  [1967,] 2.485204e-05 2.822203e-05 2.977185e-05 3.575219e-05 3.878567e-05 #>  [1968,] 1.978703e-05 2.282906e-05 2.242565e-05 2.597596e-05 3.711449e-05 #>  [1969,] 1.270227e-05 1.231395e-05 1.159340e-05 1.219004e-05 1.249102e-05 #>  [1970,] 1.811930e-05 1.850206e-05 1.685145e-05 1.574402e-05 1.659970e-05 #>  [1971,] 1.147672e-05 1.108702e-05 1.212686e-05 1.341006e-05 1.430164e-05 #>  [1972,] 1.204404e-05 1.131987e-05 1.257987e-05 1.366308e-05 1.451768e-05 #>  [1973,] 1.243108e-05 1.254084e-05 1.466328e-05 1.474314e-05 1.487588e-05 #>  [1974,] 1.327649e-05 1.341311e-05 1.226806e-05 1.406458e-05 1.354719e-05 #>  [1975,] 1.560703e-05 1.733038e-05 1.869541e-05 1.813487e-05 1.667864e-05 #>  [1976,] 1.284670e-04 1.303907e-04 9.747792e-05 1.022802e-04 1.144246e-04 #>  [1977,] 1.228427e-05 1.227805e-05 1.273365e-05 1.387323e-05 1.428874e-05 #>  [1978,] 1.327309e-05 1.333763e-05 1.412004e-05 1.564023e-05 1.879066e-05 #>  [1979,] 1.350842e-05 1.326015e-05 1.642142e-05 1.678820e-05 1.809651e-05 #>  [1980,] 1.938264e-05 2.080644e-05 2.491030e-05 2.174489e-05 1.966266e-05 #>  [1981,] 1.333270e-05 1.295518e-05 1.415418e-05 1.487529e-05 1.707490e-05 #>  [1982,] 1.388362e-05 1.464390e-05 1.563930e-05 1.472874e-05 1.499632e-05 #>  [1983,] 1.374411e-05 1.539109e-05 1.857999e-05 1.504126e-05 1.595944e-05 #>  [1984,] 1.514262e-05 1.598855e-05 1.731036e-05 1.772286e-05 1.640845e-05 #>  [1985,] 1.017843e-03 1.017078e-03 3.749683e-04 2.499566e-04 1.533117e-04 #>  [1986,] 1.216438e-05 1.163323e-05 1.244911e-05 1.371542e-05 1.443490e-05 #>  [1987,] 1.141340e-05 1.132417e-05 1.270381e-05 1.194548e-05 1.118272e-05 #>  [1988,] 1.214361e-05 1.485995e-05 1.252638e-05 1.225653e-05 1.344245e-05 #>  [1989,] 3.221280e-05 3.913018e-05 2.376387e-05 2.523917e-05 3.086266e-05 #>  [1990,] 1.315001e-05 1.245745e-05 1.283882e-05 1.273105e-05 1.295162e-05 #>  [1991,] 1.386438e-05 1.397071e-05 1.823029e-05 1.926671e-05 1.704272e-05 #>  [1992,] 1.324976e-05 1.367993e-05 1.537211e-05 1.482663e-05 1.488975e-05 #>  [1993,] 1.644519e-05 1.647909e-05 2.202030e-05 1.679427e-05 1.754864e-05 #>  [1994,] 1.211483e-05 1.390110e-05 1.459453e-05 1.774219e-05 3.033974e-05 #>  [1995,] 3.701264e-05 2.803967e-05 5.867309e-05 4.710847e-05 2.738578e-05 #>  [1996,] 1.394089e-05 1.456925e-05 1.742487e-05 1.779027e-05 1.464296e-05 #>  [1997,] 4.237803e-05 4.026488e-05 3.999028e-05 3.911404e-05 3.306329e-05 #>  [1998,] 2.433441e-04 1.573158e-04 1.542232e-04 1.238090e-04 7.682173e-05 #>  [1999,] 1.382579e-05 1.285536e-05 1.285897e-05 1.254007e-05 1.150203e-05 #>  [2000,] 1.113154e-05 1.204983e-05 1.248608e-05 1.236541e-05 1.292577e-05 #>  [2001,] 1.486730e-05 1.441162e-05 1.525224e-05 1.503001e-05 1.520569e-05 #>  [2002,] 1.375574e-05 1.276169e-05 1.539775e-05 1.679746e-05 1.451529e-05 #>  [2003,] 1.249356e-05 1.144402e-05 1.188671e-05 1.274508e-05 1.283892e-05 #>  [2004,] 1.764941e-05 1.648656e-05 1.807421e-05 1.741714e-05 1.987376e-05 #>  [2005,] 8.739609e-05 6.251439e-05 6.594470e-05 6.542792e-05 5.352752e-05 #>  [2006,] 1.778383e-05 1.616436e-05 2.134244e-05 2.445363e-05 2.282293e-05 #>  [2007,] 1.761064e-05 2.344221e-05 3.283900e-05 2.464379e-05 2.204681e-05 #>  [2008,] 1.481328e-05 1.390923e-05 1.465843e-05 1.516617e-05 1.591268e-05 #>  [2009,] 1.917049e-05 1.755052e-05 2.284399e-05 2.125243e-05 2.046805e-05 #>  [2010,] 1.294581e-05 1.267806e-05 1.313407e-05 1.449076e-05 1.434415e-05 #>  [2011,] 1.343369e-05 1.306585e-05 1.714267e-05 1.832148e-05 1.758888e-05 #>  [2012,] 1.448233e-05 1.506292e-05 1.655442e-05 1.677805e-05 1.660928e-05 #>  [2013,] 1.419679e-05 2.001187e-05 2.634844e-05 1.928806e-05 1.805461e-05 #>  [2014,] 2.653727e-05 5.929645e-05 2.560861e-05 2.920558e-05 4.660655e-05 #>  [2015,] 1.924084e-05 1.894938e-05 1.857938e-05 1.704850e-05 1.746985e-05 #>  [2016,] 2.591178e-04 2.713197e-04 2.401685e-04 2.374299e-04 1.855987e-04 #>  [2017,] 1.162304e-05 1.035725e-05 1.069801e-05 1.198739e-05 1.097189e-05 #>  [2018,] 1.245676e-05 1.536788e-05 1.583862e-05 1.595568e-05 1.781018e-05 #>  [2019,] 6.991343e-05 6.234038e-05 6.691572e-05 1.008156e-04 8.891894e-05 #>  [2020,] 2.243224e-05 1.541640e-05 1.783664e-05 1.758002e-05 1.833667e-05 #>  [2021,] 1.596433e-05 1.627382e-05 1.869245e-05 1.712388e-05 1.723942e-05 #>  [2022,] 2.741951e-05 4.789934e-05 1.723513e-04 1.244418e-04 1.221358e-04 #>  [2023,] 1.875861e-05 1.776958e-05 2.164001e-05 2.413661e-05 1.912984e-05 #>  [2024,] 1.703984e-05 2.001310e-05 1.941876e-05 2.209072e-05 2.255303e-05 #>  [2025,] 2.439162e-05 2.086661e-05 3.711504e-05 1.341644e-04 1.708614e-04 #>  [2026,] 4.193283e-05 3.614597e-05 3.836685e-05 3.895494e-05 4.149708e-05 #>  [2027,] 1.212578e-05 1.239924e-05 1.153871e-05 1.262211e-05 1.277074e-05 #>  [2028,] 1.497589e-05 1.450895e-05 1.636353e-05 1.893265e-05 1.748932e-05 #>  [2029,] 1.467887e-05 1.385001e-05 1.463398e-05 1.759482e-05 1.797447e-05 #>  [2030,] 1.262883e-05 1.200516e-05 1.126498e-05 1.187735e-05 1.282459e-05 #>  [2031,] 1.289497e-05 1.285312e-05 1.254360e-05 1.344505e-05 1.289800e-05 #>  [2032,] 1.757982e-05 1.604212e-05 1.888783e-05 2.197261e-05 2.041438e-05 #>  [2033,] 1.438979e-05 1.351137e-05 1.588302e-05 1.523961e-05 1.478519e-05 #>  [2034,] 3.103399e-05 2.764991e-05 1.282707e-05 1.266159e-05 1.225342e-05 #>  [2035,] 1.272701e-05 1.251540e-05 1.496879e-05 1.471150e-05 1.722491e-05 #>  [2036,] 1.505653e-05 1.724548e-05 2.199807e-05 1.588056e-05 1.664018e-05 #>  [2037,] 1.380196e-05 1.389284e-05 1.365726e-05 1.339963e-05 1.351115e-05 #>  [2038,] 1.404391e-05 1.245276e-05 1.442233e-05 1.625092e-05 1.597497e-05 #>  [2039,] 2.299640e-05 2.396313e-05 2.313313e-05 1.963703e-05 2.061540e-05 #>  [2040,] 1.771823e-05 1.771841e-05 1.599324e-05 1.604535e-05 1.619418e-05 #>  [2041,] 1.574572e-05 1.451480e-05 1.436867e-05 1.669600e-05 1.564978e-05 #>  [2042,] 1.849335e-05 1.996191e-05 1.850990e-05 1.837631e-05 1.839986e-05 #>  [2043,] 2.319876e-05 4.401190e-05 5.762362e-05 4.340141e-05 3.440604e-05 #>  [2044,] 1.480340e-05 1.411856e-05 1.489234e-05 1.798741e-05 1.857875e-05 #>  [2045,] 1.365599e-05 1.260954e-05 1.189086e-05 1.323140e-05 1.170014e-05 #>  [2046,] 1.901640e-05 1.970301e-05 2.299183e-05 2.333123e-05 2.494797e-05 #>  [2047,] 1.513432e-05 1.314858e-05 1.418951e-05 1.616625e-05 1.649595e-05 #>  [2048,] 1.792641e-05 1.590007e-05 2.321629e-05 2.461542e-05 2.515528e-05 #>  [2049,] 1.438016e-05 1.738637e-05 1.965418e-05 1.496584e-05 1.618008e-05 #>  [2050,] 1.619243e-05 2.449933e-05 1.615738e-05 1.559883e-05 1.527680e-05 #>  [2051,] 1.296819e-05 1.328774e-05 1.305370e-05 1.346693e-05 1.321574e-05 #>  [2052,] 1.437333e-05 1.417829e-05 1.262476e-05 1.434490e-05 1.457611e-05 #>  [2053,] 2.623403e-05 2.357884e-05 1.737392e-05 1.996870e-05 1.963971e-05 #>  [2054,] 1.589842e-05 1.490913e-05 1.705635e-05 1.827167e-05 1.742397e-05 #>  [2055,] 1.626313e-05 1.370877e-05 1.658367e-05 1.713412e-05 1.531205e-05 #>  [2056,] 1.179357e-05 1.174188e-05 1.390852e-05 1.380506e-05 1.637049e-05 #>  [2057,] 1.555694e-05 1.847703e-05 2.362095e-05 2.054956e-05 2.002814e-05 #>  [2058,] 1.953158e-05 3.789150e-05 7.615312e-05 6.202222e-05 1.021690e-04 #>  [2059,] 1.758043e-05 2.990379e-05 2.282900e-05 2.012562e-05 2.108211e-05 #>  [2060,] 1.370080e-05 1.268977e-05 1.222629e-05 1.532328e-05 1.600664e-05 #>  [2061,] 1.905901e-05 1.547985e-05 1.974070e-05 2.231453e-05 2.400885e-05 #>  [2062,] 1.222958e-05 1.298102e-05 1.297469e-05 1.361543e-05 1.361230e-05 #>  [2063,] 1.474856e-05 1.440088e-05 2.090763e-05 2.191057e-05 1.633829e-05 #>  [2064,] 1.494346e-05 1.389446e-05 1.349531e-05 1.298718e-05 1.405011e-05 #>  [2065,] 1.364884e-05 1.380196e-05 1.472537e-05 1.518767e-05 1.484496e-05 #>  [2066,] 2.309501e-05 2.709496e-05 5.792068e-05 4.650647e-05 3.000457e-05 #>  [2067,] 2.361848e-05 1.949737e-05 2.859331e-05 2.618075e-05 2.918806e-05 #>  [2068,] 1.556379e-05 1.896553e-05 2.758735e-05 2.091130e-05 1.859036e-05 #>  [2069,] 1.650722e-05 2.014520e-05 2.232501e-05 2.109712e-05 1.817960e-05 #>  [2070,] 1.821533e-05 2.144461e-05 2.386678e-05 2.034463e-05 3.140119e-05 #>  [2071,] 1.983055e-05 1.663992e-05 2.025522e-05 1.991724e-05 2.496258e-05 #>  [2072,] 1.556375e-05 1.838023e-05 1.383786e-05 1.319630e-05 1.384407e-05 #>  [2073,] 1.576993e-05 1.426381e-05 1.684572e-05 1.700584e-05 1.740740e-05 #>  [2074,] 3.037813e-05 4.438278e-05 3.081925e-05 3.252766e-05 2.982105e-05 #>  [2075,] 1.249700e-05 1.183279e-05 1.148969e-05 1.217161e-05 1.237515e-05 #>  [2076,] 1.535188e-05 1.671120e-05 1.586747e-05 1.796790e-05 1.874456e-05 #>  [2077,] 2.399138e-05 2.198999e-05 3.847070e-05 5.062460e-05 4.711142e-05 #>  [2078,] 1.679656e-05 1.539534e-05 1.672407e-05 1.695173e-05 1.589088e-05 #>  [2079,] 1.614322e-05 1.882059e-05 2.930172e-05 2.314582e-05 1.891821e-05 #>  [2080,] 1.469801e-05 1.193002e-05 1.221908e-05 1.440192e-05 1.278392e-05 #>  [2081,] 1.445695e-05 1.576155e-05 1.194621e-05 1.214737e-05 1.197674e-05 #>  [2082,] 5.070098e-05 7.389286e-05 4.833192e-05 9.140629e-05 9.554130e-05 #>  [2083,] 1.486462e-05 1.337583e-05 1.501808e-05 1.616558e-05 1.639569e-05 #>  [2084,] 1.475174e-05 1.619037e-05 1.571777e-05 1.515112e-05 1.426487e-05 #>  [2085,] 3.010289e-05 3.024686e-05 2.513833e-05 4.324860e-05 7.009346e-05 #>  [2086,] 1.429276e-05 1.835493e-05 2.240575e-05 1.889596e-05 1.871031e-05 #>  [2087,] 1.687978e-05 1.670980e-05 2.008390e-05 2.122186e-05 1.992541e-05 #>  [2088,] 1.459665e-04 1.249287e-04 6.958567e-05 1.409516e-04 1.723716e-04 #>  [2089,] 1.064807e-04 1.379201e-04 4.236977e-04 3.127988e-04 2.486957e-04 #>  [2090,] 1.458447e-05 1.349980e-05 1.660730e-05 1.873141e-05 1.955959e-05 #>  [2091,] 1.629166e-05 1.740293e-05 1.973592e-05 1.896542e-05 1.766574e-05 #>  [2092,] 1.420567e-05 1.418083e-05 1.366118e-05 1.334622e-05 1.321019e-05 #>  [2093,] 6.275684e-05 7.474754e-05 1.463631e-04 1.405156e-04 1.303224e-04 #>  [2094,] 1.541691e-05 1.569024e-05 1.554855e-05 1.524265e-05 1.566197e-05 #>  [2095,] 3.320464e-05 3.615503e-05 1.623717e-05 1.473115e-05 1.553855e-05 #>  [2096,] 1.413273e-05 1.374894e-05 1.426785e-05 1.413645e-05 1.398843e-05 #>  [2097,] 1.403917e-05 1.434569e-05 1.453270e-05 1.745874e-05 1.802068e-05 #>  [2098,] 1.275811e-05 1.227908e-05 1.294304e-05 1.339179e-05 1.232312e-05 #>  [2099,] 1.450324e-05 1.313541e-05 1.557960e-05 1.642748e-05 1.472762e-05 #>  [2100,] 1.425242e-05 1.693433e-05 2.348312e-05 1.862896e-05 1.704100e-05 #>  [2101,] 8.656909e-05 1.021154e-04 1.071130e-04 9.646775e-05 7.157898e-05 #>  [2102,] 1.300606e-05 1.291329e-05 1.281937e-05 1.297502e-05 1.283455e-05 #>  [2103,] 1.409096e-05 1.455544e-05 1.568725e-05 1.577322e-05 1.631399e-05 #>  [2104,] 1.292293e-05 1.252284e-05 1.303027e-05 1.429736e-05 1.563900e-05 #>  [2105,] 1.416747e-05 1.423815e-05 1.492040e-05 1.491852e-05 1.587098e-05 #>  [2106,] 3.369782e-05 2.862654e-05 2.274204e-05 2.373879e-05 2.227130e-05 #>  [2107,] 1.333151e-05 1.361560e-05 1.581682e-05 1.386317e-05 1.497492e-05 #>  [2108,] 1.623416e-05 1.527874e-05 1.832428e-05 1.502078e-05 1.691835e-05 #>  [2109,] 1.466321e-05 1.406208e-05 2.384985e-05 2.201391e-05 1.736252e-05 #>  [2110,] 1.262758e-05 1.602203e-05 1.956402e-05 1.518291e-05 1.630580e-05 #>  [2111,] 1.547549e-05 1.639418e-05 1.593916e-05 1.519185e-05 1.466882e-05 #>  [2112,] 1.313701e-05 1.404764e-05 1.693241e-05 1.439495e-05 1.438943e-05 #>  [2113,] 3.136909e-05 4.064247e-05 3.789729e-05 2.779688e-05 1.964880e-05 #>  [2114,] 1.406908e-05 1.392250e-05 1.504768e-05 1.396571e-05 1.432395e-05 #>  [2115,] 1.397506e-05 1.355132e-05 1.531838e-05 1.624187e-05 1.487162e-05 #>  [2116,] 1.439489e-05 1.937311e-05 2.397914e-05 1.708839e-05 1.784066e-05 #>  [2117,] 3.289666e-05 2.274423e-05 1.892529e-05 2.951567e-05 7.804406e-05 #>  [2118,] 1.181226e-05 1.158586e-05 1.225876e-05 1.290313e-05 1.344650e-05 #>  [2119,] 2.160314e-05 2.023545e-05 1.883337e-05 1.738888e-05 1.623980e-05 #>  [2120,] 1.255442e-05 1.455786e-05 2.042300e-05 1.286037e-05 2.368057e-05 #>  [2121,] 1.198638e-05 1.176570e-05 1.229858e-05 1.276801e-05 1.382726e-05 #>  [2122,] 1.483432e-05 1.599617e-05 1.623565e-05 1.539932e-05 1.643183e-05 #>  [2123,] 1.925129e-05 1.786092e-05 1.667033e-05 1.725247e-05 1.784754e-05 #>  [2124,] 3.190961e-05 2.119133e-05 2.017890e-05 1.820887e-05 1.624930e-05 #>  [2125,] 1.521125e-05 1.475624e-05 1.867011e-05 1.697782e-05 1.633208e-05 #>  [2126,] 1.521422e-05 1.453612e-05 1.503562e-05 1.628975e-05 1.528766e-05 #>  [2127,] 1.550424e-05 1.833286e-05 2.143732e-05 1.947933e-05 1.778289e-05 #>  [2128,] 2.083417e-05 1.922495e-05 2.069826e-05 1.862653e-05 1.856181e-05 #>  [2129,] 3.617802e-05 3.510031e-05 3.713089e-05 3.967410e-05 3.943702e-05 #>  [2130,] 1.595119e-05 1.930310e-05 2.375052e-05 1.820075e-05 1.923500e-05 #>  [2131,] 1.514521e-05 1.597724e-05 1.748765e-05 1.753935e-05 2.203345e-05 #>  [2132,] 1.624005e-05 1.712781e-05 1.753664e-05 1.698239e-05 1.808366e-05 #>  [2133,] 3.259284e-05 4.172528e-05 4.372890e-05 4.980252e-05 4.898975e-05 #>  [2134,] 2.367795e-05 3.327939e-05 2.456095e-05 2.407602e-05 2.885977e-05 #>  [2135,] 1.292769e-05 1.241878e-05 1.423079e-05 1.529217e-05 1.476494e-05 #>  [2136,] 5.127490e-05 6.665112e-05 1.566675e-04 1.459742e-04 9.721200e-05 #>  [2137,] 1.507133e-05 1.477180e-05 1.676288e-05 1.662496e-05 1.564314e-05 #>  [2138,] 3.159939e-05 2.914730e-05 2.318497e-05 1.727857e-05 1.780983e-05 #>  [2139,] 8.767053e-05 9.119706e-05 4.123449e-05 4.502675e-05 4.320389e-05 #>  [2140,] 2.856261e-05 2.326281e-05 3.400380e-05 4.326815e-05 5.994699e-05 #>  [2141,] 1.390471e-05 1.321437e-05 1.351638e-05 1.563596e-05 1.609103e-05 #>  [2142,] 3.247289e-05 3.355979e-05 2.487914e-05 2.451622e-05 2.481777e-05 #>  [2143,] 1.666050e-05 1.489714e-05 1.690214e-05 1.858484e-05 1.787906e-05 #>  [2144,] 1.560255e-05 1.448692e-05 2.164995e-05 1.879274e-05 1.953744e-05 #>  [2145,] 2.094179e-05 1.757525e-05 1.742069e-05 1.836851e-05 1.836371e-05 #>  [2146,] 1.381272e-05 1.404924e-05 1.412369e-05 1.545551e-05 1.544987e-05 #>  [2147,] 6.366934e-04 4.835961e-04 2.156032e-04 2.693066e-04 2.791964e-04 #>  [2148,] 1.478526e-05 1.519808e-05 1.509895e-05 1.679586e-05 1.701646e-05 #>  [2149,] 1.575882e-05 1.439284e-05 1.576133e-05 1.549408e-05 1.533684e-05 #>  [2150,] 1.460526e-05 1.443697e-05 1.764359e-05 1.675983e-05 1.835996e-05 #>  [2151,] 3.929511e-05 3.473932e-05 4.977041e-05 5.361073e-05 5.637697e-05 #>  [2152,] 1.262962e-05 1.205969e-05 1.285838e-05 1.223489e-05 1.090130e-05 #>  [2153,] 1.649119e-05 1.610642e-05 1.503900e-05 1.449723e-05 1.391111e-05 #>  [2154,] 1.536537e-05 1.254529e-05 1.426463e-05 1.571275e-05 1.597546e-05 #>  [2155,] 3.122578e-05 4.773366e-05 1.045977e-04 1.214564e-04 2.130950e-04 #>  [2156,] 2.354971e-05 2.008126e-05 2.750444e-05 2.314547e-05 2.075158e-05 #>  [2157,] 3.237907e-05 2.046523e-05 2.256370e-05 3.410154e-05 4.151435e-05 #>  [2158,] 4.353496e-05 4.579139e-05 3.857480e-05 4.070050e-05 4.551337e-05 #>  [2159,] 1.279879e-05 1.406797e-05 1.338774e-05 1.368198e-05 1.395158e-05 #>  [2160,] 1.352728e-05 1.347597e-05 1.346839e-05 1.452727e-05 1.448224e-05 #>  [2161,] 1.624422e-05 1.445377e-05 1.563042e-05 1.741918e-05 1.629562e-05 #>  [2162,] 1.570179e-05 1.448482e-05 2.004382e-05 1.788881e-05 1.731868e-05 #>  [2163,] 1.190895e-05 1.203480e-05 1.263709e-05 1.361899e-05 1.284360e-05 #>  [2164,] 1.295739e-05 1.314207e-05 1.343010e-05 1.435411e-05 1.385356e-05 #>  [2165,] 1.412325e-05 1.456206e-05 1.513092e-05 1.596792e-05 1.484955e-05 #>  [2166,] 2.393528e-05 2.213453e-05 2.184286e-05 2.501962e-05 2.350652e-05 #>  [2167,] 5.506931e-05 6.158746e-05 7.239799e-05 1.117141e-04 1.269681e-04 #>  [2168,] 1.733250e-05 1.753687e-05 1.976080e-05 2.079365e-05 1.781022e-05 #>  [2169,] 1.331801e-05 1.409867e-05 1.557902e-05 1.696101e-05 1.634844e-05 #>  [2170,] 3.512863e-05 6.896634e-05 1.414816e-04 8.956341e-05 6.464869e-05 #>  [2171,] 1.692136e-05 1.886312e-05 2.016001e-05 1.648745e-05 1.512097e-05 #>  [2172,] 1.270302e-05 1.313243e-05 1.293955e-05 1.322633e-05 1.370097e-05 #>  [2173,] 4.234819e-05 4.949121e-05 4.176231e-05 3.909765e-05 3.981051e-05 #>  [2174,] 4.321256e-05 2.276600e-05 1.947621e-05 2.094361e-05 2.146520e-05 #>  [2175,] 1.864706e-05 1.434576e-05 1.614042e-05 1.630791e-05 1.664232e-05 #>  [2176,] 1.355966e-05 1.377239e-05 1.230837e-05 1.478774e-05 1.567244e-05 #>  [2177,] 1.331860e-05 1.415641e-05 1.401343e-05 1.391231e-05 1.731788e-05 #>  [2178,] 1.501330e-05 1.705836e-05 1.491284e-05 1.461843e-05 1.539652e-05 #>  [2179,] 1.371275e-05 1.389099e-05 1.491908e-05 1.536305e-05 1.514086e-05 #>  [2180,] 2.688950e-05 3.347063e-05 5.098857e-05 4.670676e-05 5.325452e-05 #>  [2181,] 2.794825e-04 3.094239e-04 3.306042e-04 3.819627e-04 3.837166e-04 #>  [2182,] 3.249052e-05 3.306890e-05 2.834045e-05 2.507562e-05 2.638127e-05 #>  [2183,] 1.497976e-05 1.399449e-05 1.571693e-05 1.645220e-05 1.599341e-05 #>  [2184,] 1.465296e-05 1.388971e-05 1.686417e-05 1.757291e-05 1.590657e-05 #>  [2185,] 1.139600e-05 1.154575e-05 1.156700e-05 1.206570e-05 1.171906e-05 #>  [2186,] 1.344704e-05 1.321077e-05 1.516942e-05 1.547792e-05 1.565480e-05 #>  [2187,] 1.300145e-05 1.260261e-05 1.446119e-05 1.427959e-05 1.435878e-05 #>  [2188,] 5.100815e-05 2.373405e-05 2.210946e-05 2.028476e-05 1.774865e-05 #>  [2189,] 1.380295e-05 1.328062e-05 1.414922e-05 1.602244e-05 1.591901e-05 #>  [2190,] 4.272404e-05 1.104191e-04 4.603891e-05 3.828429e-05 4.255822e-05 #>  [2191,] 1.558711e-05 1.724748e-05 2.113715e-05 1.944142e-05 1.854662e-05 #>  [2192,] 2.131044e-05 2.029214e-05 2.123575e-05 2.096785e-05 2.055360e-05 #>  [2193,] 1.278647e-05 1.287170e-05 1.342634e-05 1.475357e-05 1.650346e-05 #>  [2194,] 4.840138e-05 6.025716e-05 2.689257e-05 2.967690e-05 2.731365e-05 #>  [2195,] 1.324747e-04 1.752763e-04 5.135338e-05 5.473434e-05 5.230474e-05 #>  [2196,] 3.643081e-05 3.514414e-05 2.539596e-05 3.219605e-05 3.762713e-05 #>  [2197,] 2.391923e-05 2.190623e-05 3.824109e-05 4.634242e-05 5.066844e-05 #>  [2198,] 1.575831e-04 1.782769e-04 4.386316e-04 5.610231e-04 7.531066e-04 #>  [2199,] 5.416052e-05 3.483330e-05 2.019990e-05 2.039945e-05 1.989504e-05 #>  [2200,] 5.099247e-05 6.245407e-05 5.801119e-05 5.823997e-05 5.846717e-05 #>  [2201,] 1.429654e-05 1.679561e-05 2.049699e-05 2.249712e-05 2.448892e-05 #>  [2202,] 5.943451e-05 5.750255e-05 3.387893e-05 3.319660e-05 2.496868e-05 #>  [2203,] 1.648559e-05 1.637975e-05 1.622007e-05 1.760592e-05 1.755296e-05 #>  [2204,] 2.055307e-05 2.453046e-05 2.868165e-05 3.258713e-05 3.504614e-05 #>  [2205,] 1.328806e-05 1.328055e-05 1.378711e-05 1.550345e-05 1.546395e-05 #>  [2206,] 1.178492e-05 1.107680e-05 1.306264e-05 1.340250e-05 1.251288e-05 #>  [2207,] 2.118108e-04 1.614898e-04 1.923963e-04 2.472931e-04 1.904369e-04 #>  [2208,] 2.274348e-05 1.792253e-05 2.153519e-05 2.079431e-05 2.507797e-05 #>  [2209,] 1.999315e-05 1.692894e-05 1.789949e-05 1.804621e-05 1.865640e-05 #>  [2210,] 3.362737e-05 5.140741e-05 3.919223e-05 4.015324e-05 5.446981e-05 #>  [2211,] 1.282799e-05 1.253547e-05 1.434821e-05 1.515430e-05 1.477797e-05 #>  [2212,] 1.668506e-04 1.460293e-04 1.295314e-04 8.322744e-05 8.099566e-05 #>  [2213,] 1.908715e-05 1.949361e-05 1.786040e-05 1.683086e-05 1.474824e-05 #>  [2214,] 3.881059e-05 4.537161e-05 4.248101e-05 4.082874e-05 2.768492e-05 #>  [2215,] 4.233131e-04 3.959131e-04 6.559229e-04 5.303817e-04 4.248743e-04 #>  [2216,] 2.309757e-05 2.486152e-05 2.090736e-05 2.426527e-05 3.432435e-05 #>  [2217,] 2.624506e-04 1.175867e-04 6.607601e-05 6.068474e-05 5.929378e-05 #>  [2218,] 3.872571e-05 2.729944e-05 2.222792e-05 2.030674e-05 2.033968e-05 #>  [2219,] 1.215549e-05 1.165813e-05 1.276123e-05 1.343354e-05 1.296676e-05 #>  [2220,] 1.279665e-05 1.247376e-05 1.515593e-05 1.668713e-05 1.760417e-05 #>  [2221,] 1.373467e-05 1.301703e-05 1.517504e-05 1.580229e-05 1.428878e-05 #>  [2222,] 2.141027e-05 2.122606e-05 3.827504e-05 4.913861e-05 6.465625e-05 #>  [2223,] 1.225227e-05 1.244495e-05 1.171103e-05 1.193030e-05 1.244597e-05 #>  [2224,] 1.629499e-05 1.466175e-05 1.496014e-05 1.565020e-05 1.511239e-05 #>  [2225,] 5.529835e-05 5.887549e-05 6.468254e-05 5.427547e-05 4.563374e-05 #>  [2226,] 1.006967e-04 1.780195e-04 1.354479e-04 1.312524e-04 1.064894e-04 #>  [2227,] 1.062123e-05 1.011359e-05 1.044244e-05 1.130801e-05 1.080929e-05 #>  [2228,] 1.166860e-05 1.191501e-05 1.329525e-05 1.320554e-05 1.320454e-05 #>  [2229,] 1.391715e-05 1.494425e-05 1.424807e-05 1.548966e-05 1.622843e-05 #>  [2230,] 1.304686e-05 1.221398e-05 1.512003e-05 1.494552e-05 1.437517e-05 #>  [2231,] 1.298980e-05 1.434277e-05 1.543149e-05 1.370552e-05 1.430752e-05 #>  [2232,] 1.400764e-05 1.559470e-05 1.389515e-05 1.436179e-05 1.331110e-05 #>  [2233,] 1.411578e-05 1.269577e-05 1.376647e-05 1.478331e-05 1.617148e-05 #>  [2234,] 1.591531e-05 1.265865e-05 1.281019e-05 1.386206e-05 1.382884e-05 #>  [2235,] 1.676798e-04 1.378730e-04 5.041296e-05 3.642122e-05 3.701431e-05 #>  [2236,] 2.275937e-05 2.321454e-05 2.802299e-05 2.923684e-05 2.742014e-05 #>  [2237,] 1.395888e-05 1.402141e-05 1.554414e-05 1.703729e-05 1.458196e-05 #>  [2238,] 1.544628e-05 1.591825e-05 2.021865e-05 1.911182e-05 1.880138e-05 #>  [2239,] 2.288808e-05 3.040751e-05 4.482149e-05 4.638067e-05 6.866771e-05 #>  [2240,] 1.735797e-05 1.428599e-05 1.623223e-05 1.640310e-05 1.479691e-05 #>  [2241,] 1.147561e-05 1.063238e-05 1.143646e-05 1.310635e-05 1.386521e-05 #>  [2242,] 1.228309e-05 1.221342e-05 1.256372e-05 1.479913e-05 1.553805e-05 #>  [2243,] 1.625341e-05 1.478301e-05 1.501561e-05 1.531957e-05 1.538576e-05 #>  [2244,] 1.389486e-05 1.471575e-05 1.838017e-05 1.596705e-05 1.684065e-05 #>  [2245,] 1.752216e-05 2.200916e-05 2.394242e-05 2.067908e-05 1.948497e-05 #>  [2246,] 2.219024e-05 2.751023e-05 5.503583e-05 4.797854e-05 3.925158e-05 #>  [2247,] 1.413936e-05 1.446497e-05 1.541360e-05 1.689090e-05 1.507958e-05 #>  [2248,] 1.125636e-05 1.131545e-05 1.241947e-05 1.276407e-05 1.233725e-05 #>  [2249,] 1.421613e-05 1.357897e-05 1.344629e-05 1.454160e-05 1.323806e-05 #>  [2250,] 1.427089e-05 1.413141e-05 1.265824e-05 1.277842e-05 1.310280e-05 #>  [2251,] 1.412053e-05 1.348988e-05 1.347697e-05 1.435057e-05 1.702941e-05 #>  [2252,] 2.170398e-05 2.077295e-05 4.691194e-05 4.996515e-05 4.165888e-05 #>  [2253,] 6.542556e-04 5.789905e-04 3.096002e-04 2.907187e-04 4.258181e-04 #>  [2254,] 1.329350e-05 1.388189e-05 1.308005e-05 1.276023e-05 1.369678e-05 #>  [2255,] 1.577542e-05 1.676173e-05 1.987578e-05 2.014489e-05 1.936813e-05 #>  [2256,] 2.828245e-05 3.170048e-05 2.047260e-05 2.266698e-05 2.526356e-05 #>  [2257,] 1.239373e-05 1.213185e-05 1.154313e-05 1.250810e-05 1.160053e-05 #>  [2258,] 7.497514e-05 7.203659e-05 1.059085e-04 1.226422e-04 1.004259e-04 #>  [2259,] 1.529256e-05 1.825467e-05 2.344308e-05 1.789560e-05 1.677267e-05 #>  [2260,] 1.316990e-05 1.526451e-05 1.334113e-05 1.215804e-05 1.264137e-05 #>  [2261,] 2.939535e-05 2.925376e-05 2.699206e-05 2.828090e-05 2.631856e-05 #>  [2262,] 1.161177e-05 1.208430e-05 1.100298e-05 1.105179e-05 1.193078e-05 #>  [2263,] 1.719035e-04 2.355793e-04 1.851662e-04 2.825002e-04 3.780533e-04 #>  [2264,] 6.543134e-05 5.287651e-05 6.131285e-05 6.178005e-05 6.413666e-05 #>  [2265,] 1.342715e-05 1.297008e-05 1.482727e-05 1.548779e-05 1.594840e-05 #>  [2266,] 1.393303e-04 1.328044e-04 1.484585e-04 1.699792e-04 1.357853e-04 #>  [2267,] 1.386186e-04 6.077820e-05 3.426660e-05 2.717341e-05 2.008759e-05 #>  [2268,] 2.412223e-05 1.809781e-05 1.792754e-05 3.023211e-05 2.471956e-05 #>  [2269,] 2.256360e-05 1.731459e-05 2.412920e-05 3.324301e-05 2.770716e-05 #>  [2270,] 1.642462e-05 2.285359e-05 3.210422e-05 2.245416e-05 2.374159e-05 #>  [2271,] 4.593931e-05 6.208733e-05 5.563284e-05 6.057671e-05 6.967447e-05 #>  [2272,] 1.395741e-04 8.598245e-05 7.592545e-05 1.049419e-04 1.587845e-04 #>  [2273,] 1.561355e-05 1.480393e-05 1.575133e-05 1.798780e-05 1.769154e-05 #>  [2274,] 1.843648e-05 1.517128e-05 1.808827e-05 1.952585e-05 1.775239e-05 #>  [2275,] 1.371008e-05 1.440444e-05 1.700372e-05 1.599950e-05 1.553392e-05 #>  [2276,] 3.511038e-05 6.108414e-05 7.995105e-05 7.531793e-05 6.235956e-05 #>  [2277,] 1.272790e-05 1.277026e-05 1.545363e-05 1.691931e-05 1.644782e-05 #>  [2278,] 1.413162e-05 1.340581e-05 1.448107e-05 1.463149e-05 1.527093e-05 #>  [2279,] 2.400484e-05 2.577637e-05 3.843854e-05 3.370334e-05 2.741861e-05 #>  [2280,] 1.456787e-05 1.453985e-05 1.506455e-05 1.664989e-05 1.404539e-05 #>  [2281,] 1.237651e-05 1.242508e-05 1.274445e-05 1.419247e-05 1.393860e-05 #>  [2282,] 1.477778e-05 1.523751e-05 1.562144e-05 1.577923e-05 1.647212e-05 #>  [2283,] 1.591983e-05 1.474137e-05 1.810520e-05 1.707136e-05 1.587373e-05 #>  [2284,] 1.415318e-05 1.325932e-05 1.363059e-05 1.515567e-05 1.555669e-05 #>  [2285,] 1.486000e-05 1.353480e-05 1.483860e-05 1.528570e-05 1.487847e-05 #>  [2286,] 2.427435e-05 1.925077e-05 1.704864e-05 1.864445e-05 1.885232e-05 #>  [2287,] 5.635407e-04 4.318838e-04 2.571436e-04 2.453550e-04 2.840754e-04 #>  [2288,] 1.421989e-05 1.381551e-05 2.119739e-05 2.560082e-05 2.504137e-05 #>  [2289,] 1.132168e-05 9.300194e-06 1.050964e-05 1.142600e-05 1.096510e-05 #>  [2290,] 1.238986e-05 1.307653e-05 1.334802e-05 1.519443e-05 1.436421e-05 #>  [2291,] 1.871104e-05 1.965577e-05 2.006569e-05 2.049521e-05 1.881545e-05 #>  [2292,] 1.213822e-05 1.339399e-05 1.417885e-05 1.484190e-05 1.500534e-05 #>  [2293,] 1.356170e-05 1.465220e-05 1.656594e-05 1.488696e-05 1.404055e-05 #>  [2294,] 1.749168e-05 1.700391e-05 1.676724e-05 1.896528e-05 2.101813e-05 #>  [2295,] 1.254868e-05 1.209950e-05 1.162171e-05 1.237096e-05 1.322602e-05 #>  [2296,] 2.369924e-05 2.335809e-05 3.294244e-05 4.232678e-05 4.915852e-05 #>  [2297,] 1.944490e-05 2.698641e-05 2.921089e-05 2.573622e-05 1.984506e-05 #>  [2298,] 1.295444e-05 1.269970e-05 1.457607e-05 1.386716e-05 1.257157e-05 #>  [2299,] 3.021134e-05 3.810966e-05 3.111968e-05 3.291278e-05 3.243171e-05 #>  [2300,] 1.378226e-05 1.299741e-05 1.498759e-05 1.684192e-05 1.651264e-05 #>  [2301,] 1.293643e-05 1.292014e-05 1.496472e-05 1.494580e-05 1.524356e-05 #>  [2302,] 5.080311e-05 5.464329e-05 5.571127e-05 7.221731e-05 7.208911e-05 #>  [2303,] 1.399945e-05 1.430458e-05 1.780986e-05 2.170187e-05 2.419545e-05 #>  [2304,] 1.711045e-05 1.519295e-05 2.087661e-05 2.171723e-05 1.899030e-05 #>  [2305,] 1.512859e-05 1.540653e-05 1.634512e-05 1.882950e-05 1.627886e-05 #>  [2306,] 1.965365e-05 1.649462e-05 2.256048e-05 2.777393e-05 2.238750e-05 #>  [2307,] 2.087878e-05 2.906764e-05 6.210673e-05 3.872467e-05 2.278043e-05 #>  [2308,] 2.239663e-05 3.869045e-05 2.672846e-05 3.047645e-05 2.523701e-05 #>  [2309,] 2.042767e-05 1.843368e-05 2.773322e-05 2.747615e-05 1.939422e-05 #>  [2310,] 1.304479e-05 1.326553e-05 1.512861e-05 1.519368e-05 1.540045e-05 #>  [2311,] 1.598722e-05 1.518214e-05 1.978276e-05 2.557338e-05 2.115211e-05 #>  [2312,] 1.558426e-05 1.364276e-05 1.708097e-05 1.596137e-05 1.539409e-05 #>  [2313,] 1.950510e-05 1.331197e-05 1.208806e-05 1.278852e-05 1.238353e-05 #>  [2314,] 1.253364e-05 1.215496e-05 1.430006e-05 1.475868e-05 1.395644e-05 #>  [2315,] 3.416467e-05 3.484825e-05 1.247730e-05 1.265644e-05 1.230184e-05 #>  [2316,] 1.344838e-05 1.411373e-05 1.336836e-05 1.347867e-05 1.376997e-05 #>  [2317,] 2.017992e-05 1.607111e-05 1.392946e-05 1.554127e-05 1.922330e-05 #>  [2318,] 1.650581e-05 1.647111e-05 1.604403e-05 1.740035e-05 1.696457e-05 #>  [2319,] 6.304648e-05 4.922451e-05 8.615642e-05 5.405432e-05 4.273071e-05 #>  [2320,] 1.647219e-05 1.609366e-05 1.509699e-05 1.659077e-05 1.622596e-05 #>  [2321,] 2.219132e-04 1.503434e-04 3.818665e-05 3.912250e-05 4.031798e-05 #>  [2322,] 1.590261e-05 1.469537e-05 1.536155e-05 1.669486e-05 1.650486e-05 #>  [2323,] 1.198576e-05 1.065143e-05 1.082040e-05 1.189345e-05 1.220168e-05 #>  [2324,] 1.287957e-05 1.175348e-05 1.263049e-05 1.357396e-05 1.334182e-05 #>  [2325,] 1.283902e-05 1.472049e-05 1.661671e-05 1.414591e-05 1.519478e-05 #>  [2326,] 1.264903e-05 1.166241e-05 1.188577e-05 1.262482e-05 1.184542e-05 #>  [2327,] 1.286093e-05 1.174694e-05 1.231640e-05 1.390248e-05 1.362508e-05 #>  [2328,] 4.084418e-05 2.515791e-05 1.083214e-04 1.503083e-04 4.011373e-04 #>  [2329,] 9.068032e-05 6.789910e-05 1.112528e-04 8.128509e-05 1.102015e-04 #>  [2330,] 1.298320e-05 1.499202e-05 1.756308e-05 1.503430e-05 1.617731e-05 #>  [2331,] 1.222214e-05 1.282939e-05 1.184909e-05 1.324951e-05 1.290580e-05 #>  [2332,] 1.437536e-05 1.422266e-05 1.491571e-05 1.588744e-05 1.505859e-05 #>  [2333,] 1.378251e-05 1.315066e-05 1.480882e-05 1.491275e-05 1.451767e-05 #>  [2334,] 1.433849e-05 1.535250e-05 2.563044e-05 2.234108e-05 1.293470e-05 #>  [2335,] 2.735669e-05 2.630620e-05 1.325460e-05 1.655550e-05 1.753382e-05 #>  [2336,] 1.483362e-05 1.568112e-05 1.493971e-05 1.609088e-05 1.750495e-05 #>  [2337,] 2.087634e-05 2.215062e-05 4.468122e-05 2.424156e-05 3.011878e-05 #>  [2338,] 1.820717e-05 1.688304e-05 1.855461e-05 1.871164e-05 1.847574e-05 #>  [2339,] 1.835484e-05 1.804758e-05 1.963158e-05 2.141107e-05 2.132915e-05 #>  [2340,] 3.331031e-05 3.001017e-05 3.128759e-05 3.229937e-05 4.096175e-05 #>  [2341,] 3.917742e-05 5.264345e-05 3.221689e-05 2.985702e-05 3.292652e-05 #>  [2342,] 1.225069e-05 1.305461e-05 2.040569e-05 1.605012e-05 1.561612e-05 #>  [2343,] 1.305066e-05 1.485321e-05 1.829960e-05 1.796994e-05 2.225539e-05 #>  [2344,] 1.286143e-05 1.331108e-05 1.551536e-05 1.569626e-05 1.543044e-05 #>  [2345,] 1.627889e-05 1.839584e-05 2.124534e-05 1.866188e-05 2.027418e-05 #>  [2346,] 3.229703e-05 6.545435e-05 1.266740e-04 1.819018e-04 3.516620e-04 #>  [2347,] 2.255813e-05 2.297844e-05 2.123315e-05 2.924449e-05 2.741849e-05 #>  [2348,] 1.589874e-05 1.760865e-05 2.056008e-05 2.194698e-05 2.810550e-05 #>  [2349,] 1.570056e-05 1.839746e-05 3.148918e-05 2.926722e-05 2.792453e-05 #>  [2350,] 1.670392e-05 1.299181e-05 1.318136e-05 1.454650e-05 1.364439e-05 #>  [2351,] 1.358784e-05 1.512231e-05 1.684384e-05 1.590951e-05 1.496798e-05 #>  [2352,] 1.490338e-05 1.489118e-05 1.665284e-05 1.606844e-05 1.689100e-05 #>  [2353,] 1.448445e-05 1.502315e-05 1.440637e-05 1.472886e-05 1.521598e-05 #>  [2354,] 1.839813e-05 1.838438e-05 2.252552e-05 4.706974e-05 5.397220e-05 #>  [2355,] 2.592770e-05 2.687112e-05 5.109125e-05 5.143541e-05 5.619032e-05 #>  [2356,] 2.279871e-05 2.308920e-05 2.050840e-05 2.008888e-05 2.287328e-05 #>  [2357,] 1.537366e-05 1.556175e-05 1.659856e-05 1.667473e-05 1.684699e-05 #>  [2358,] 1.955188e-05 2.675741e-05 2.209269e-05 2.986255e-05 4.572880e-05 #>  [2359,] 1.691313e-05 1.801484e-05 3.450199e-05 2.942867e-05 2.055425e-05 #>  [2360,] 1.910383e-05 1.935667e-05 1.383729e-05 1.437534e-05 1.406934e-05 #>  [2361,] 1.784801e-05 2.092577e-05 2.606857e-05 2.341257e-05 1.857300e-05 #>  [2362,] 2.519524e-05 1.769815e-05 2.427992e-05 1.928460e-05 2.020723e-05 #>  [2363,] 1.370562e-05 1.607266e-05 1.766409e-05 1.555804e-05 1.551505e-05 #>  [2364,] 1.251173e-05 1.133342e-05 1.128980e-05 1.181160e-05 1.173245e-05 #>  [2365,] 7.919473e-05 7.513183e-05 8.187333e-05 7.559222e-05 6.077721e-05 #>  [2366,] 1.223306e-05 1.244322e-05 1.411970e-05 1.472373e-05 1.388493e-05 #>  [2367,] 1.274342e-05 1.272367e-05 1.372261e-05 1.514411e-05 1.707569e-05 #>  [2368,] 1.337298e-05 1.369127e-05 1.553077e-05 1.472316e-05 1.508757e-05 #>  [2369,] 1.436320e-05 1.503677e-05 1.436037e-05 2.109652e-05 3.535362e-05 #>  [2370,] 1.150733e-04 7.510788e-05 1.349032e-04 2.000937e-04 1.520853e-04 #>  [2371,] 1.596049e-05 1.744865e-05 2.110021e-05 1.939020e-05 2.136016e-05 #>  [2372,] 1.321965e-05 1.261825e-05 1.255005e-05 1.394978e-05 1.509706e-05 #>  [2373,] 1.330341e-05 1.291212e-05 1.343989e-05 1.553676e-05 1.648553e-05 #>  [2374,] 1.353535e-05 1.318517e-05 1.538321e-05 1.544594e-05 1.593864e-05 #>  [2375,] 1.765575e-05 1.686212e-05 1.843782e-05 1.807514e-05 1.746585e-05 #>  [2376,] 1.302665e-05 1.149344e-05 1.300958e-05 1.193037e-05 1.234858e-05 #>  [2377,] 1.266215e-05 1.332589e-05 1.301923e-05 1.231080e-05 1.418949e-05 #>  [2378,] 1.351997e-05 1.350539e-05 1.395079e-05 1.431296e-05 1.372209e-05 #>  [2379,] 1.398189e-05 1.668438e-05 1.832814e-05 1.595486e-05 1.655473e-05 #>  [2380,] 1.466362e-05 1.298371e-05 1.298974e-05 1.460367e-05 1.307656e-05 #>  [2381,] 1.550993e-05 1.584023e-05 1.971757e-05 1.872737e-05 1.751249e-05 #>  [2382,] 1.460286e-05 1.337175e-05 1.447978e-05 1.714340e-05 1.857307e-05 #>  [2383,] 2.438535e-05 1.980674e-05 2.392874e-05 2.723144e-05 2.838062e-05 #>  [2384,] 1.222247e-05 1.226474e-05 1.422041e-05 1.417141e-05 1.388672e-05 #>  [2385,] 2.381857e-05 1.886934e-05 2.027283e-05 2.244266e-05 2.387103e-05 #>  [2386,] 3.312708e-04 2.798662e-04 3.208875e-04 3.075645e-04 2.693868e-04 #>  [2387,] 1.360972e-05 1.367634e-05 1.386644e-05 1.306705e-05 1.257685e-05 #>  [2388,] 9.038945e-05 1.274400e-04 2.630262e-04 2.879081e-04 2.425739e-04 #>  [2389,] 1.850732e-05 1.640557e-05 1.881827e-05 1.993828e-05 1.965619e-05 #>  [2390,] 3.167875e-05 4.688396e-05 1.979765e-04 1.761207e-04 1.815407e-04 #>  [2391,] 9.526360e-05 7.897196e-05 1.495343e-04 1.286292e-04 9.715237e-05 #>  [2392,] 3.503704e-05 2.949805e-05 3.071133e-05 3.178624e-05 2.857701e-05 #>  [2393,] 1.693401e-05 2.050339e-05 3.179988e-05 2.180201e-05 2.275262e-05 #>  [2394,] 6.363979e-05 4.082470e-05 7.408333e-05 5.921442e-05 5.659305e-05 #>  [2395,] 1.285173e-05 1.252141e-05 1.240687e-05 1.306531e-05 1.311368e-05 #>  [2396,] 7.277460e-04 4.616933e-04 6.591360e-04 4.440077e-04 6.115998e-04 #>  [2397,] 2.492476e-05 2.732783e-05 3.357964e-05 3.582267e-05 3.300037e-05 #>  [2398,] 1.477374e-05 1.560456e-05 1.530368e-05 1.545434e-05 1.557774e-05 #>  [2399,] 2.526558e-05 3.946635e-05 3.916892e-05 6.605168e-05 1.172350e-04 #>  [2400,] 1.345023e-05 1.446245e-05 1.497189e-05 1.823450e-05 1.797122e-05 #>  [2401,] 4.027156e-05 4.531206e-05 3.341348e-05 3.450780e-05 3.648348e-05 #>  [2402,] 1.503227e-05 1.764648e-05 2.377177e-05 1.719285e-05 1.588229e-05 #>  [2403,] 1.322032e-05 1.244236e-05 2.181131e-05 1.823088e-05 1.641185e-05 #>  [2404,] 3.287140e-05 3.137415e-05 3.665037e-05 4.898240e-05 3.659887e-05 #>  [2405,] 1.930725e-05 1.883832e-05 2.571957e-05 3.672032e-05 2.992910e-05 #>  [2406,] 1.433611e-05 1.355926e-05 1.548245e-05 1.417781e-05 1.384356e-05 #>  [2407,] 1.559722e-05 1.718518e-05 1.775625e-05 1.993131e-05 2.359528e-05 #>  [2408,] 1.454077e-05 1.529309e-05 1.812233e-05 1.581200e-05 1.601297e-05 #>  [2409,] 1.230857e-05 1.432222e-05 1.453764e-05 1.487746e-05 1.445286e-05 #>  [2410,] 1.620394e-05 1.563740e-05 1.550806e-05 1.607714e-05 1.481496e-05 #>  [2411,] 1.555418e-05 1.531356e-05 1.607950e-05 1.713582e-05 1.629784e-05 #>  [2412,] 5.778483e-05 4.534122e-05 4.045391e-05 5.054346e-05 6.818099e-05 #>  [2413,] 2.920358e-05 4.062907e-05 5.795561e-05 5.726205e-05 4.032614e-05 #>  [2414,] 1.352784e-05 1.192391e-05 1.261486e-05 1.266555e-05 1.169487e-05 #>  [2415,] 2.532121e-05 3.012010e-05 2.488863e-05 2.520181e-05 4.458311e-05 #>  [2416,] 3.224155e-05 3.799559e-05 6.021886e-05 6.205048e-05 1.125391e-04 #>  [2417,] 1.624911e-05 1.671063e-05 1.780012e-05 1.842352e-05 1.924814e-05 #>  [2418,] 1.811775e-05 2.204015e-05 2.670177e-05 1.884215e-05 1.963478e-05 #>  [2419,] 1.644959e-05 1.446217e-05 1.339074e-05 1.501539e-05 1.241912e-05 #>  [2420,] 1.748995e-05 1.992283e-05 1.889901e-05 1.858693e-05 1.781121e-05 #>  [2421,] 1.180096e-05 1.268913e-05 1.350261e-05 1.460394e-05 1.441768e-05 #>  [2422,] 1.272144e-05 1.250637e-05 1.484512e-05 1.599527e-05 1.648776e-05 #>  [2423,] 1.694470e-05 1.537792e-05 1.978254e-05 1.766557e-05 2.011483e-05 #>  [2424,] 2.145686e-05 2.170284e-05 3.364052e-05 3.269293e-05 2.781481e-05 #>  [2425,] 1.793621e-05 1.443072e-05 2.154017e-05 2.490521e-05 1.860456e-05 #>  [2426,] 1.992072e-05 1.900389e-05 2.338071e-05 2.707369e-05 2.702276e-05 #>  [2427,] 1.508152e-05 1.295385e-05 1.312767e-05 1.500922e-05 1.138108e-05 #>  [2428,] 1.377879e-05 1.364395e-05 1.638536e-05 1.879222e-05 1.921795e-05 #>  [2429,] 9.213109e-05 6.245763e-05 9.195976e-05 1.134499e-04 7.751092e-05 #>  [2430,] 1.868214e-05 1.941597e-05 1.648901e-05 1.750752e-05 1.893729e-05 #>  [2431,] 2.876797e-05 2.744503e-05 2.362893e-05 2.687306e-05 2.374870e-05 #>  [2432,] 5.363213e-05 9.202199e-05 6.523735e-05 4.938151e-05 5.314942e-05 #>  [2433,] 1.583476e-05 1.547467e-05 1.734624e-05 2.186694e-05 1.936810e-05 #>  [2434,] 1.897955e-05 1.565710e-05 1.588698e-05 1.857277e-05 1.803408e-05 #>  [2435,] 1.554968e-05 1.616775e-05 1.475606e-05 1.446402e-05 1.325746e-05 #>  [2436,] 1.188727e-04 1.071500e-04 9.982360e-05 1.499337e-04 1.305077e-04 #>  [2437,] 2.194693e-05 1.935569e-05 2.355852e-05 2.231527e-05 2.977217e-05 #>  [2438,] 1.172603e-05 1.210094e-05 1.303351e-05 1.454386e-05 1.472394e-05 #>  [2439,] 3.283380e-05 4.137019e-05 8.248125e-05 7.181530e-05 6.626622e-05 #>  [2440,] 2.131854e-05 1.989837e-05 1.825070e-05 1.815060e-05 1.864163e-05 #>  [2441,] 1.713507e-05 1.908672e-05 2.739485e-05 2.008337e-05 1.992634e-05 #>  [2442,] 1.533399e-05 1.672765e-05 1.739368e-05 1.696059e-05 1.716418e-05 #>  [2443,] 5.573437e-05 4.948664e-05 9.000713e-05 9.039969e-05 6.575926e-05 #>  [2444,] 1.341530e-05 1.369830e-05 1.421438e-05 1.508625e-05 1.495090e-05 #>  [2445,] 3.452809e-05 1.557043e-05 2.538833e-05 2.062031e-05 2.187702e-05 #>  [2446,] 1.464370e-05 1.466353e-05 1.711387e-05 1.544440e-05 1.612051e-05 #>  [2447,] 4.665562e-05 6.488271e-05 5.825969e-05 8.188669e-05 1.034632e-04 #>  [2448,] 1.347880e-05 1.269243e-05 1.551585e-05 1.581946e-05 1.666338e-05 #>  [2449,] 2.488250e-05 2.430426e-05 4.884743e-05 4.826064e-05 5.574427e-05 #>  [2450,] 1.229255e-05 1.262969e-05 1.332829e-05 1.567573e-05 1.724034e-05 #>  [2451,] 1.515848e-05 1.566829e-05 1.855652e-05 1.816920e-05 1.783744e-05 #>  [2452,] 4.706040e-05 4.639873e-05 5.491042e-05 4.111365e-05 4.392456e-05 #>  [2453,] 1.083983e-04 2.579749e-04 7.050049e-04 5.374855e-04 5.247089e-04 #>  [2454,] 1.280525e-05 1.348596e-05 1.487274e-05 1.446734e-05 1.389525e-05 #>  [2455,] 1.731721e-05 1.962550e-05 1.809039e-05 1.854376e-05 2.084223e-05 #>  [2456,] 1.210932e-05 1.134659e-05 1.269137e-05 1.451344e-05 1.470065e-05 #>  [2457,] 2.637115e-05 2.994638e-05 2.911877e-05 3.266467e-05 3.949030e-05 #>  [2458,] 1.888722e-05 2.324911e-05 1.530392e-05 1.487307e-05 1.676347e-05 #>  [2459,] 2.429425e-05 1.542508e-05 1.788131e-05 2.013498e-05 1.894381e-05 #>  [2460,] 1.470472e-05 1.402913e-05 1.559055e-05 1.684302e-05 1.650126e-05 #>  [2461,] 1.516613e-05 1.482023e-05 1.651862e-05 1.924157e-05 2.063982e-05 #>  [2462,] 3.974236e-04 3.436235e-04 2.486314e-04 2.091012e-04 2.512052e-04 #>  [2463,] 1.355791e-05 1.406946e-05 1.485931e-05 1.465880e-05 1.436303e-05 #>  [2464,] 2.135048e-04 1.064967e-04 3.719981e-05 6.039584e-05 6.561611e-05 #>  [2465,] 1.782741e-05 3.273682e-05 2.208413e-05 2.251691e-05 2.485813e-05 #>  [2466,] 5.483622e-05 2.413989e-05 2.508198e-05 3.196478e-05 2.599658e-05 #>  [2467,] 2.599437e-05 3.156231e-05 3.024272e-05 2.984524e-05 3.579053e-05 #>  [2468,] 1.428617e-05 1.417061e-05 1.524440e-05 1.650753e-05 1.668207e-05 #>  [2469,] 4.199249e-05 3.773673e-05 3.079249e-05 3.264671e-05 3.350650e-05 #>  [2470,] 1.184627e-05 1.138787e-05 1.228760e-05 1.308664e-05 1.207194e-05 #>  [2471,] 1.218803e-05 1.166854e-05 1.228522e-05 1.411127e-05 1.372077e-05 #>  [2472,] 2.778776e-05 4.027584e-05 3.167568e-05 3.016635e-05 3.219460e-05 #>  [2473,] 3.087711e-05 3.480368e-05 3.325948e-05 3.287950e-05 3.333081e-05 #>  [2474,] 3.228758e-05 2.882221e-05 3.357953e-05 3.436678e-05 2.198198e-05 #>  [2475,] 1.221152e-05 1.296176e-05 1.267319e-05 1.302728e-05 1.374196e-05 #>  [2476,] 1.663165e-05 1.673837e-05 1.532209e-05 1.581538e-05 1.707409e-05 #>  [2477,] 2.014456e-05 2.275732e-05 2.137500e-05 2.135167e-05 1.998948e-05 #>  [2478,] 3.496093e-05 5.795521e-05 3.297387e-05 2.642000e-05 1.793853e-05 #>  [2479,] 1.314756e-05 1.235801e-05 1.232679e-05 1.383881e-05 1.318534e-05 #>  [2480,] 1.682066e-05 1.459014e-05 1.612611e-05 1.450910e-05 1.282776e-05 #>  [2481,] 2.530351e-05 2.637664e-05 3.379943e-05 3.785797e-05 3.797764e-05 #>  [2482,] 1.271571e-05 1.161572e-05 1.458286e-05 1.684168e-05 1.988234e-05 #>  [2483,] 1.334559e-05 1.327766e-05 1.310802e-05 1.271598e-05 1.360144e-05 #>  [2484,] 2.045519e-05 1.703442e-05 2.312154e-05 2.201224e-05 1.999126e-05 #>  [2485,] 1.081114e-05 1.150495e-05 1.221347e-05 1.224303e-05 1.130588e-05 #>  [2486,] 1.867057e-05 1.884573e-05 1.690638e-05 1.732736e-05 1.786564e-05 #>  [2487,] 1.291846e-05 1.224574e-05 1.453018e-05 1.479384e-05 1.554652e-05 #>  [2488,] 1.425218e-05 1.383402e-05 1.500036e-05 1.490617e-05 1.578545e-05 #>  [2489,] 1.370215e-05 1.348114e-05 1.684028e-05 1.648533e-05 1.581705e-05 #>  [2490,] 1.226925e-05 1.260461e-05 1.265784e-05 1.340676e-05 1.408885e-05 #>  [2491,] 3.691098e-05 4.833305e-05 5.571745e-05 5.609414e-05 5.055310e-05 #>  [2492,] 2.369663e-04 1.309280e-04 1.302000e-04 2.036143e-04 3.635018e-04 #>  [2493,] 1.340312e-05 1.221488e-05 1.266178e-05 1.325609e-05 1.464266e-05 #>  [2494,] 1.415482e-05 1.482182e-05 1.515977e-05 1.664533e-05 1.608664e-05 #>  [2495,] 1.844659e-05 1.985704e-05 2.906914e-05 2.951293e-05 2.656967e-05 #>  [2496,] 1.466643e-05 1.533272e-05 1.781269e-05 1.817965e-05 1.727394e-05 #>  [2497,] 7.562797e-05 4.715018e-05 3.605355e-05 5.257246e-05 5.469879e-05 #>  [2498,] 1.807455e-05 1.517659e-05 2.268773e-05 2.559831e-05 2.457155e-05 #>  [2499,] 5.404560e-05 4.765841e-05 2.774291e-05 3.665240e-05 4.777198e-05 #>  [2500,] 1.223522e-05 1.078697e-05 1.126993e-05 1.267282e-05 1.238039e-05 #>  [2501,] 1.688986e-05 1.628948e-05 2.277559e-05 1.886556e-05 1.632944e-05 #>  [2502,] 2.734608e-05 4.303185e-05 7.665945e-05 5.942455e-05 2.708660e-05 #>  [2503,] 1.514423e-05 2.088217e-05 2.110718e-05 1.619250e-05 1.710606e-05 #>  [2504,] 8.568473e-05 7.308450e-05 4.899040e-05 5.209717e-05 4.282479e-05 #>  [2505,] 1.512671e-05 1.547124e-05 1.501071e-05 1.569369e-05 1.737855e-05 #>  [2506,] 1.467621e-05 1.574798e-05 1.613032e-05 1.545402e-05 1.606941e-05 #>  [2507,] 1.134802e-05 1.299741e-05 1.363541e-05 1.315277e-05 1.308341e-05 #>  [2508,] 1.945210e-05 1.854432e-05 2.255522e-05 2.293038e-05 2.348830e-05 #>  [2509,] 1.435270e-05 1.566179e-05 2.071802e-05 1.638608e-05 1.740255e-05 #>  [2510,] 1.261861e-05 1.424954e-05 1.918356e-05 1.528426e-05 1.513549e-05 #>  [2511,] 3.000846e-05 1.387614e-05 1.329565e-05 1.394489e-05 1.318326e-05 #>  [2512,] 1.740142e-05 1.795942e-05 1.863448e-05 1.795702e-05 1.679872e-05 #>  [2513,] 1.879831e-05 1.604569e-05 1.805779e-05 1.810125e-05 1.855103e-05 #>  [2514,] 1.305530e-05 1.352132e-05 1.430009e-05 1.491658e-05 1.467345e-05 #>  [2515,] 1.251783e-05 1.253966e-05 1.401820e-05 1.460992e-05 1.523385e-05 #>  [2516,] 2.005374e-05 2.300007e-05 2.916575e-05 3.632478e-05 3.472126e-05 #>  [2517,] 1.527830e-05 1.523738e-05 1.794412e-05 1.575871e-05 1.700209e-05 #>  [2518,] 1.653881e-05 1.393849e-05 1.598429e-05 1.724860e-05 1.485064e-05 #>  [2519,] 1.751585e-05 1.928443e-05 2.274109e-05 2.025040e-05 1.887258e-05 #>  [2520,] 1.362540e-05 1.336355e-05 1.249503e-05 1.287636e-05 1.228163e-05 #>  [2521,] 1.308521e-05 1.367298e-05 1.330686e-05 1.365763e-05 1.352858e-05 #>  [2522,] 1.419432e-05 1.371495e-05 1.527560e-05 1.537350e-05 1.349576e-05 #>  [2523,] 1.420212e-05 1.402066e-05 1.693551e-05 1.707705e-05 1.589503e-05 #>  [2524,] 4.046285e-05 3.945047e-05 5.260613e-05 4.843543e-05 3.981565e-05 #>  [2525,] 1.436403e-05 1.560259e-05 2.120849e-05 1.616107e-05 1.633643e-05 #>  [2526,] 1.247166e-05 1.238587e-05 1.300267e-05 1.410843e-05 1.334221e-05 #>  [2527,] 2.485459e-04 2.104286e-04 1.530075e-04 1.384491e-04 1.735845e-04 #>  [2528,] 1.289063e-05 1.231591e-05 1.221320e-05 1.462495e-05 1.623526e-05 #>  [2529,] 1.436023e-05 1.299012e-05 1.559137e-05 1.620458e-05 1.616554e-05 #>  [2530,] 1.285333e-05 1.313390e-05 1.244326e-05 1.218196e-05 1.201806e-05 #>  [2531,] 1.051706e-04 1.170330e-04 6.201438e-05 6.175007e-05 7.798703e-05 #>  [2532,] 1.651069e-05 1.420099e-05 1.458385e-05 1.676785e-05 1.656205e-05 #>  [2533,] 1.722802e-05 1.737995e-05 2.158423e-05 2.445819e-05 2.207534e-05 #>  [2534,] 1.642349e-05 2.029907e-05 1.682950e-05 1.723210e-05 1.727261e-05 #>  [2535,] 2.300463e-05 2.724196e-05 1.429677e-05 1.299087e-05 1.531081e-05 #>  [2536,] 1.525239e-05 1.537418e-05 1.525196e-05 1.566761e-05 1.501639e-05 #>  [2537,] 1.352168e-05 1.616767e-05 2.096461e-05 1.597856e-05 1.704819e-05 #>  [2538,] 1.648243e-05 1.439845e-05 1.635280e-05 1.837693e-05 1.943927e-05 #>  [2539,] 1.725998e-05 1.596137e-05 1.907448e-05 2.004400e-05 2.159613e-05 #>  [2540,] 9.339439e-04 9.791998e-04 1.132873e-03 1.040484e-03 1.041648e-03 #>  [2541,] 2.488344e-05 2.365811e-05 3.057510e-05 3.645725e-05 3.401177e-05 #>  [2542,] 1.245161e-05 1.135217e-05 1.207213e-05 1.120913e-05 1.144634e-05 #>  [2543,] 1.180279e-05 1.182661e-05 1.257304e-05 1.321117e-05 1.220898e-05 #>  [2544,] 1.280640e-05 1.338103e-05 1.411562e-05 1.449910e-05 1.423859e-05 #>  [2545,] 1.210989e-05 1.163345e-05 1.242698e-05 1.415566e-05 1.508543e-05 #>  [2546,] 1.407789e-05 1.328500e-05 1.491760e-05 1.712041e-05 1.677889e-05 #>  [2547,] 1.659232e-05 1.749983e-05 2.011215e-05 2.237081e-05 2.034372e-05 #>  [2548,] 1.418985e-05 1.343782e-05 1.407755e-05 1.577580e-05 1.649255e-05 #>  [2549,] 1.442117e-05 1.552861e-05 1.635871e-05 1.636908e-05 1.601813e-05 #>  [2550,] 1.371760e-05 1.403920e-05 1.422229e-05 1.546602e-05 1.538652e-05 #>  [2551,] 5.616867e-04 5.486127e-04 2.860618e-04 3.454169e-04 4.313258e-04 #>  [2552,] 1.650080e-05 1.749206e-05 1.555151e-05 1.691744e-05 1.715764e-05 #>  [2553,] 2.860235e-05 2.673629e-05 2.517497e-05 2.161278e-05 1.955014e-05 #>  [2554,] 1.499552e-05 1.950084e-05 1.662074e-05 1.736341e-05 1.524943e-05 #>  [2555,] 1.288301e-05 1.324540e-05 1.321666e-05 1.511195e-05 1.699993e-05 #>  [2556,] 2.551032e-05 2.779288e-05 2.808310e-05 3.154114e-05 3.292610e-05 #>  [2557,] 4.016378e-04 2.898260e-04 9.919844e-05 1.217350e-04 1.684593e-04 #>  [2558,] 8.148497e-05 3.788507e-05 4.660762e-05 5.770950e-05 4.437109e-05 #>  [2559,] 1.321899e-05 1.348436e-05 1.299181e-05 1.402237e-05 1.404177e-05 #>  [2560,] 1.623052e-05 1.665345e-05 2.269366e-05 2.911334e-05 2.513065e-05 #>  [2561,] 1.265992e-05 1.255148e-05 1.250287e-05 1.291767e-05 1.322145e-05 #>  [2562,] 8.322525e-04 9.251168e-04 1.055090e-03 1.022514e-03 9.149810e-04 #>  [2563,] 3.527045e-05 2.608371e-05 3.353716e-05 3.768507e-05 2.408350e-05 #>  [2564,] 3.149836e-05 2.409828e-05 2.954243e-05 2.982751e-05 2.364895e-05 #>  [2565,] 1.514912e-05 1.751359e-05 2.321249e-05 2.315395e-05 3.228789e-05 #>  [2566,] 1.559259e-05 1.836218e-05 2.752342e-05 2.314520e-05 2.280694e-05 #>  [2567,] 1.343851e-05 1.551053e-05 1.450607e-05 1.603716e-05 1.648246e-05 #>  [2568,] 3.966983e-05 5.415201e-05 1.468912e-04 1.714250e-04 1.392263e-04 #>  [2569,] 1.683259e-05 1.494408e-05 1.699404e-05 1.600817e-05 1.607955e-05 #>  [2570,] 1.564283e-05 1.577635e-05 1.872526e-05 2.032812e-05 1.979915e-05 #>  [2571,] 9.457714e-05 9.577981e-05 1.144975e-04 8.702138e-05 7.175771e-05 #>  [2572,] 1.160647e-05 1.172273e-05 1.315759e-05 1.246483e-05 1.174797e-05 #>  [2573,] 1.446207e-05 1.612824e-05 1.834346e-05 1.620184e-05 1.716300e-05 #>  [2574,] 2.521607e-05 2.429932e-05 3.990776e-05 4.454888e-05 4.373283e-05 #>  [2575,] 1.432148e-04 3.200031e-04 5.674471e-04 4.785014e-04 9.636372e-04 #>  [2576,] 3.427089e-05 3.844023e-05 3.108581e-05 3.464440e-05 3.804985e-05 #>  [2577,] 1.909205e-05 1.854469e-05 1.984370e-05 2.757681e-05 3.139269e-05 #>  [2578,] 2.001176e-05 1.727713e-05 1.930488e-05 1.806548e-05 1.839620e-05 #>  [2579,] 1.717505e-05 1.567293e-05 1.474089e-05 1.511046e-05 1.418005e-05 #>  [2580,] 2.458081e-05 2.283725e-05 4.200525e-05 4.817886e-05 2.715882e-05 #>  [2581,] 1.317821e-05 1.325885e-05 1.607283e-05 1.544237e-05 1.548702e-05 #>  [2582,] 2.105059e-04 1.175830e-04 3.020499e-04 1.620957e-04 3.986164e-05 #>  [2583,] 1.183282e-05 1.191148e-05 1.405296e-05 1.369032e-05 1.436005e-05 #>  [2584,] 2.431857e-05 2.200002e-05 3.451500e-05 4.175521e-05 3.938569e-05 #>  [2585,] 1.653024e-05 1.700498e-05 1.784633e-05 3.107133e-05 3.486165e-05 #>  [2586,] 1.259617e-05 1.137755e-05 1.244431e-05 1.332138e-05 1.334678e-05 #>  [2587,] 1.328186e-04 1.486002e-04 1.008477e-04 9.954266e-05 1.039165e-04 #>  [2588,] 1.091843e-03 8.313205e-04 2.160071e-04 2.255326e-04 1.853256e-04 #>  [2589,] 9.658513e-04 6.816212e-04 5.287332e-05 6.336371e-05 3.196008e-05 #>  [2590,] 1.167488e-05 1.101749e-05 1.125227e-05 1.219801e-05 1.368780e-05 #>  [2591,] 2.243087e-05 2.231196e-05 1.719469e-05 1.794999e-05 1.841923e-05 #>  [2592,] 1.385336e-05 1.246519e-05 1.205322e-05 1.349779e-05 1.276607e-05 #>  [2593,] 8.198054e-05 1.447432e-04 7.540972e-05 8.823622e-05 7.562336e-05 #>  [2594,] 2.383119e-05 1.619755e-05 1.723240e-05 1.542110e-05 1.570872e-05 #>  [2595,] 2.019289e-05 1.624687e-05 1.547344e-05 1.559961e-05 1.353337e-05 #>  [2596,] 2.079888e-05 1.869678e-05 2.132923e-05 2.157313e-05 1.944800e-05 #>  [2597,] 2.631354e-05 7.054901e-05 4.156524e-05 2.525145e-05 1.630089e-05 #>  [2598,] 2.640465e-05 1.497426e-05 1.254651e-05 1.173524e-05 1.275189e-05 #>  [2599,] 1.767774e-05 2.076160e-05 2.350041e-05 2.071941e-05 1.868974e-05 #>  [2600,] 4.322322e-05 4.721002e-05 4.751814e-05 6.338936e-05 4.508858e-05 #>  [2601,] 1.377984e-05 1.386581e-05 1.518765e-05 1.385161e-05 1.451618e-05 #>  [2602,] 3.060154e-05 3.702024e-05 2.955754e-05 3.179759e-05 3.672158e-05 #>  [2603,] 1.856128e-05 3.031558e-05 9.692811e-05 6.259992e-05 5.396517e-05 #>  [2604,] 2.161700e-05 2.277368e-05 1.357725e-05 1.177125e-05 1.114366e-05 #>  [2605,] 6.628938e-05 1.428072e-04 3.095278e-05 2.127387e-05 1.650314e-05 #>  [2606,] 1.715185e-05 1.792708e-05 1.782138e-05 2.068857e-05 3.230307e-05 #>  [2607,] 6.618263e-05 5.020882e-05 4.231760e-05 4.753120e-05 6.509901e-05 #>  [2608,] 1.209753e-05 1.183616e-05 1.272088e-05 1.479833e-05 1.365262e-05 #>  [2609,] 8.840941e-05 8.730418e-05 4.727968e-05 4.390975e-05 5.826978e-05 #>  [2610,] 1.037775e-04 5.755541e-05 6.530063e-05 4.425470e-05 2.682965e-05 #>  [2611,] 1.828323e-05 1.873156e-05 2.206511e-05 2.347618e-05 2.344411e-05 #>  [2612,] 1.744651e-05 2.086895e-05 2.585044e-05 1.959010e-05 2.197370e-05 #>  [2613,] 1.333828e-05 1.358278e-05 1.385349e-05 1.383814e-05 1.426049e-05 #>  [2614,] 2.023300e-05 2.018224e-05 3.049424e-05 3.284500e-05 3.004397e-05 #>  [2615,] 1.807733e-05 1.919239e-05 1.856153e-05 1.828732e-05 1.663213e-05 #>  [2616,] 1.220838e-05 1.287411e-05 1.346672e-05 1.446521e-05 1.421923e-05 #>  [2617,] 1.299212e-05 1.241209e-05 1.254076e-05 1.382107e-05 1.380313e-05 #>  [2618,] 1.275170e-05 1.178556e-05 1.321119e-05 1.349628e-05 1.350867e-05 #>  [2619,] 1.294174e-05 1.222911e-05 1.317725e-05 1.496165e-05 1.522458e-05 #>  [2620,] 4.538693e-05 4.155685e-05 3.790052e-05 3.953852e-05 3.584012e-05 #>  [2621,] 3.333325e-05 3.389301e-05 2.088536e-05 1.820116e-05 1.853660e-05 #>  [2622,] 1.584942e-05 1.629769e-05 2.666961e-05 4.029745e-05 5.469464e-05 #>  [2623,] 5.446739e-05 3.658066e-05 2.762897e-05 4.219650e-05 5.347271e-05 #>  [2624,] 6.988961e-05 5.142722e-05 4.745679e-05 6.550593e-05 6.011586e-05 #>  [2625,] 1.933260e-05 1.478905e-05 1.475135e-05 1.565790e-05 1.805153e-05 #>  [2626,] 1.576815e-05 1.735405e-05 2.108873e-05 1.713662e-05 1.663827e-05 #>  [2627,] 3.273247e-05 3.122033e-05 2.782846e-05 8.388632e-05 1.459390e-04 #>  [2628,] 1.195547e-05 1.225170e-05 1.156015e-05 1.290082e-05 1.287202e-05 #>  [2629,] 1.332125e-05 1.255051e-05 1.258458e-05 1.396423e-05 1.442162e-05 #>  [2630,] 3.256361e-05 3.093428e-05 2.492060e-05 2.495350e-05 2.537320e-05 #>  [2631,] 1.282931e-05 1.288888e-05 1.212546e-05 1.263932e-05 1.253283e-05 #>  [2632,] 1.261974e-05 1.607421e-05 1.290512e-05 1.545141e-05 5.442470e-05 #>  [2633,] 2.413504e-05 2.223448e-05 2.961901e-05 3.075117e-05 3.057750e-05 #>  [2634,] 1.745131e-05 1.659419e-05 1.497310e-05 1.541490e-05 1.599880e-05 #>  [2635,] 1.505893e-05 1.732164e-05 2.417436e-05 2.594293e-05 3.442303e-05 #>  [2636,] 4.126907e-05 4.027863e-05 3.464127e-05 3.277750e-05 4.248997e-05 #>  [2637,] 1.250701e-05 1.215150e-05 1.332646e-05 1.505213e-05 1.458582e-05 #>  [2638,] 1.627721e-05 1.500513e-05 1.733103e-05 1.750491e-05 1.704996e-05 #>  [2639,] 1.420823e-05 1.323206e-05 1.417742e-05 1.523599e-05 1.512868e-05 #>  [2640,] 2.526259e-05 2.170683e-05 1.954581e-05 2.102222e-05 1.992001e-05 #>  [2641,] 1.428039e-05 1.286652e-05 1.320853e-05 1.257737e-05 1.335746e-05 #>  [2642,] 1.651483e-05 1.904848e-05 1.803237e-05 1.659161e-05 1.626578e-05 #>  [2643,] 1.398575e-05 1.254191e-05 1.148492e-05 1.373991e-05 1.280629e-05 #>  [2644,] 1.566738e-05 1.714049e-05 1.663124e-05 2.761203e-05 2.532779e-05 #>  [2645,] 1.323411e-05 1.268054e-05 1.401864e-05 1.460243e-05 1.607354e-05 #>  [2646,] 1.276622e-05 1.246814e-05 1.350869e-05 1.408725e-05 1.456668e-05 #>  [2647,] 1.674508e-04 1.414692e-04 1.549532e-04 1.667117e-04 1.381109e-04 #>  [2648,] 1.322299e-05 1.604137e-05 1.813508e-05 1.701234e-05 1.566106e-05 #>  [2649,] 1.532868e-05 1.445176e-05 1.289226e-05 1.274323e-05 1.387936e-05 #>  [2650,] 1.139290e-05 1.084908e-05 1.059579e-05 1.146514e-05 1.200676e-05 #>  [2651,] 1.292880e-05 1.429462e-05 1.309886e-05 1.335574e-05 1.302897e-05 #>  [2652,] 1.315137e-05 1.240054e-05 1.444547e-05 1.583898e-05 1.412060e-05 #>  [2653,] 1.395897e-05 1.426759e-05 1.683497e-05 1.781443e-05 1.557625e-05 #>  [2654,] 1.479884e-05 1.464689e-05 1.517499e-05 1.539120e-05 1.435816e-05 #>  [2655,] 1.238202e-05 1.169499e-05 1.156488e-05 1.265220e-05 1.289568e-05 #>  [2656,] 1.861186e-05 2.220160e-05 2.131227e-05 1.987669e-05 2.099685e-05 #>  [2657,] 1.526301e-05 1.448437e-05 1.766389e-05 1.795961e-05 1.632738e-05 #>  [2658,] 1.281206e-05 1.296890e-05 1.218238e-05 1.184316e-05 1.290289e-05 #>  [2659,] 3.297062e-05 3.715851e-05 2.692027e-05 3.071526e-05 2.621948e-05 #>  [2660,] 1.693457e-05 1.865785e-05 1.881139e-05 1.910429e-05 1.863302e-05 #>  [2661,] 3.855035e-05 2.334746e-05 1.829871e-05 1.699669e-05 1.933984e-05 #>  [2662,] 1.220491e-05 1.254674e-05 1.280875e-05 1.369419e-05 1.398306e-05 #>  [2663,] 1.392221e-05 1.230006e-05 1.299514e-05 1.496048e-05 1.320319e-05 #>  [2664,] 2.725101e-05 2.710627e-05 1.859889e-05 1.991385e-05 2.092127e-05 #>  [2665,] 1.075246e-04 9.053734e-05 8.254315e-05 6.618741e-05 5.543883e-05 #>  [2666,] 1.220973e-05 1.238100e-05 1.412425e-05 1.355824e-05 1.392815e-05 #>  [2667,] 1.296145e-05 1.445087e-05 1.352266e-05 1.456250e-05 1.390774e-05 #>  [2668,] 1.342550e-05 1.324799e-05 1.458058e-05 1.532756e-05 1.558920e-05 #>  [2669,] 1.466667e-05 1.632138e-05 2.212439e-05 1.870331e-05 1.807507e-05 #>  [2670,] 1.829193e-05 1.446937e-05 1.411026e-05 1.237435e-05 1.186008e-05 #>  [2671,] 2.161307e-05 1.822459e-05 4.068737e-05 5.091801e-05 4.375388e-05 #>  [2672,] 1.685665e-05 1.955603e-05 1.373884e-05 1.270519e-05 1.390282e-05 #>  [2673,] 2.252501e-04 1.646809e-04 1.280033e-04 1.563982e-04 1.085108e-04 #>  [2674,] 1.270914e-05 1.212145e-05 1.513769e-05 1.486460e-05 1.460770e-05 #>  [2675,] 1.487487e-05 1.548228e-05 1.708540e-05 1.615226e-05 1.616959e-05 #>  [2676,] 1.156120e-05 1.048457e-05 9.872213e-06 1.058346e-05 1.093143e-05 #>  [2677,] 1.360404e-04 1.065694e-04 7.981677e-05 7.678138e-05 6.344602e-05 #>  [2678,] 1.677606e-05 1.823099e-05 2.807432e-05 1.927014e-05 1.568786e-05 #>  [2679,] 1.208239e-05 1.004194e-05 1.048207e-05 1.160524e-05 1.094809e-05 #>  [2680,] 1.248297e-05 1.380059e-05 1.683595e-05 1.707893e-05 1.701282e-05 #>  [2681,] 1.319612e-05 1.559333e-05 1.932375e-05 1.823647e-05 1.859166e-05 #>  [2682,] 1.426879e-05 1.804145e-05 2.029546e-05 1.577364e-05 1.619322e-05 #>  [2683,] 3.128542e-05 5.235615e-05 4.420442e-05 4.398642e-05 6.229326e-05 #>  [2684,] 1.409334e-05 1.368231e-05 1.725279e-05 1.592408e-05 1.664284e-05 #>  [2685,] 1.102475e-05 1.094236e-05 1.121127e-05 1.203890e-05 1.169428e-05 #>  [2686,] 1.537198e-05 1.679369e-05 1.373992e-05 1.408749e-05 1.453134e-05 #>  [2687,] 2.210135e-05 1.735531e-05 1.828703e-05 2.025817e-05 2.090325e-05 #>  [2688,] 3.944387e-05 4.127168e-05 4.688115e-05 4.373161e-05 4.513640e-05 #>  [2689,] 1.547609e-05 1.967094e-05 3.086825e-05 2.049011e-05 2.092436e-05 #>  [2690,] 1.287334e-05 1.462966e-05 1.460737e-05 1.467333e-05 1.342530e-05 #>  [2691,] 1.502900e-05 1.378218e-05 1.613949e-05 1.737014e-05 1.511762e-05 #>  [2692,] 1.442225e-05 1.670733e-05 1.700788e-05 1.763552e-05 2.062012e-05 #>  [2693,] 1.264767e-05 1.295886e-05 1.185363e-05 1.174023e-05 1.130457e-05 #>  [2694,] 1.518188e-05 1.436963e-05 1.519780e-05 1.570111e-05 1.662087e-05 #>  [2695,] 1.221937e-05 1.184528e-05 1.172757e-05 1.222702e-05 1.242439e-05 #>  [2696,] 1.365235e-05 1.299505e-05 1.479034e-05 1.560058e-05 1.679243e-05 #>  [2697,] 1.480801e-05 1.486900e-05 1.505697e-05 1.482519e-05 1.482310e-05 #>  [2698,] 1.257283e-05 1.337239e-05 1.734624e-05 1.876109e-05 1.925868e-05 #>  [2699,] 2.028212e-05 1.823119e-05 2.049606e-05 2.121958e-05 1.971902e-05 #>  [2700,] 1.462665e-05 1.584434e-05 2.212466e-05 1.545779e-05 1.623503e-05 #>  [2701,] 1.212909e-05 1.205664e-05 1.243924e-05 1.481336e-05 1.408421e-05 #>  [2702,] 2.368535e-04 2.360271e-04 1.321946e-04 1.654734e-04 1.423838e-04 #>  [2703,] 8.489233e-05 6.131038e-05 3.986970e-05 4.063836e-05 4.565307e-05 #>  [2704,] 2.065979e-05 2.401867e-05 3.726437e-05 3.967401e-05 3.878036e-05 #>  [2705,] 1.991014e-05 2.130797e-05 2.199992e-05 2.732807e-05 2.510163e-05 #>  [2706,] 1.236061e-05 1.274661e-05 1.565675e-05 1.632238e-05 2.401972e-05 #>  [2707,] 1.238426e-05 1.175638e-05 1.374236e-05 1.570528e-05 1.405517e-05 #>  [2708,] 1.536963e-05 1.576791e-05 2.282982e-05 2.018095e-05 2.217321e-05 #>  [2709,] 3.786396e-05 4.181110e-05 5.244656e-05 4.227037e-05 5.578412e-05 #>  [2710,] 6.392986e-05 5.202327e-05 5.181342e-05 8.977812e-05 1.049701e-04 #>  [2711,] 1.288832e-04 2.047273e-04 1.732060e-04 1.767979e-04 1.592727e-04 #>  [2712,] 2.480638e-05 2.085870e-05 2.735148e-05 2.163301e-05 2.155554e-05 #>  [2713,] 1.897271e-05 1.556942e-05 1.333006e-05 1.527442e-05 1.394673e-05 #>  [2714,] 1.500301e-05 1.386666e-05 1.380472e-05 1.599650e-05 1.588793e-05 #>  [2715,] 1.902645e-05 1.702766e-05 2.607758e-05 2.653221e-05 2.348021e-05 #>  [2716,] 1.181602e-05 1.219954e-05 1.160447e-05 1.207816e-05 1.251124e-05 #>  [2717,] 1.299556e-05 1.228816e-05 1.249872e-05 1.492538e-05 1.432835e-05 #>  [2718,] 1.819100e-05 1.606151e-05 2.446279e-05 1.982367e-05 2.038828e-05 #>  [2719,] 1.356809e-05 1.556645e-05 1.662934e-05 1.615767e-05 1.616056e-05 #>  [2720,] 5.526413e-05 3.374147e-05 3.839811e-05 2.957108e-05 2.672858e-05 #>  [2721,] 1.264528e-05 1.176448e-05 1.259137e-05 1.285950e-05 1.162862e-05 #>  [2722,] 1.417691e-05 1.493580e-05 1.687352e-05 1.736117e-05 1.821437e-05 #>  [2723,] 1.963927e-05 2.280348e-05 1.743792e-05 1.973192e-05 2.176148e-05 #>  [2724,] 2.032578e-05 2.716049e-05 2.189848e-05 2.376986e-05 2.507866e-05 #>  [2725,] 1.624408e-05 1.874053e-05 1.806357e-05 1.821676e-05 1.928680e-05 #>  [2726,] 6.859551e-05 6.483869e-05 7.584639e-05 9.180109e-05 1.143302e-04 #>  [2727,] 1.195127e-05 1.214191e-05 1.409629e-05 1.401707e-05 1.454970e-05 #>  [2728,] 1.173797e-05 1.164208e-05 1.211055e-05 1.226671e-05 1.329386e-05 #>  [2729,] 1.244377e-05 1.230944e-05 1.316479e-05 1.570640e-05 1.497910e-05 #>  [2730,] 3.720084e-05 4.108397e-05 5.470111e-05 6.388119e-05 1.026983e-04 #>  [2731,] 1.326345e-05 1.440826e-05 1.506044e-05 1.494584e-05 1.474145e-05 #>  [2732,] 1.976089e-05 2.092977e-05 2.342940e-05 2.458212e-05 2.488733e-05 #>  [2733,] 1.617949e-05 1.779698e-05 2.613278e-05 2.807363e-05 3.145535e-05 #>  [2734,] 1.693544e-05 1.762100e-05 2.098066e-05 2.292499e-05 2.046139e-05 #>  [2735,] 1.280512e-05 1.559393e-05 2.325713e-05 1.909241e-05 2.089586e-05 #>  [2736,] 1.354159e-05 1.289033e-05 1.326735e-05 1.370333e-05 1.322706e-05 #>  [2737,] 1.475471e-05 1.423442e-05 1.355798e-05 1.568580e-05 1.536570e-05 #>  [2738,] 1.482265e-05 1.352134e-05 1.445274e-05 1.480828e-05 1.418244e-05 #>  [2739,] 1.980552e-05 1.781854e-05 1.990373e-05 2.204694e-05 1.909014e-05 #>  [2740,] 1.702076e-05 1.930994e-05 1.229554e-05 1.378014e-05 1.295224e-05 #>  [2741,] 4.342289e-05 3.832997e-05 5.797937e-05 6.132906e-05 3.815590e-05 #>  [2742,] 1.691742e-05 1.453999e-05 1.782863e-05 1.738925e-05 1.868000e-05 #>  [2743,] 5.166721e-05 7.869581e-05 1.123246e-04 1.011015e-04 8.010571e-05 #>  [2744,] 3.525018e-05 4.485921e-05 3.457075e-05 3.824788e-05 1.992336e-05 #>  [2745,] 1.614841e-05 1.609022e-05 1.779396e-05 1.977328e-05 1.850217e-05 #>  [2746,] 2.450875e-05 5.364746e-05 2.413405e-05 2.957443e-05 3.489965e-05 #>  [2747,] 3.007467e-05 4.832568e-05 5.246479e-05 6.775751e-05 8.021020e-05 #>  [2748,] 1.196892e-05 1.161539e-05 1.186091e-05 1.263190e-05 1.216614e-05 #>  [2749,] 2.531147e-05 2.696151e-05 3.108204e-05 3.246894e-05 2.894711e-05 #>  [2750,] 1.302047e-05 1.349572e-05 1.289883e-05 1.396792e-05 1.341420e-05 #>  [2751,] 1.820796e-05 1.682280e-05 2.543714e-05 2.619864e-05 2.353843e-05 #>  [2752,] 3.358611e-05 3.349126e-05 2.085822e-05 2.457917e-05 5.516688e-05 #>  [2753,] 1.406551e-05 1.359459e-05 1.385702e-05 1.439433e-05 1.534064e-05 #>  [2754,] 1.944908e-05 1.606029e-05 1.500692e-05 1.605820e-05 1.654099e-05 #>  [2755,] 1.845110e-05 1.757515e-05 1.930412e-05 1.971367e-05 1.865743e-05 #>  [2756,] 2.660566e-05 3.307182e-05 2.635000e-05 2.444403e-05 2.101923e-05 #>  [2757,] 1.184718e-05 1.207632e-05 1.293654e-05 1.359763e-05 1.249384e-05 #>  [2758,] 1.262897e-05 1.223809e-05 1.463363e-05 1.602349e-05 1.567011e-05 #>  [2759,] 2.341035e-05 1.353113e-05 1.650138e-05 1.929184e-05 1.693597e-05 #>  [2760,] 1.487745e-05 1.509307e-05 1.855901e-05 1.771645e-05 2.894706e-05 #>  [2761,] 1.045429e-04 1.089912e-04 7.914096e-05 8.104337e-05 6.827384e-05 #>  [2762,] 1.763890e-05 1.587616e-05 1.631276e-05 1.811611e-05 1.687373e-05 #>  [2763,] 1.427563e-05 1.339001e-05 1.408970e-05 1.613595e-05 1.553398e-05 #>  [2764,] 1.248385e-05 1.408038e-05 1.658783e-05 1.688409e-05 1.650574e-05 #>  [2765,] 1.542252e-05 1.561738e-05 1.586110e-05 1.559565e-05 1.509223e-05 #>  [2766,] 7.669557e-05 7.411778e-05 8.536282e-05 7.385541e-05 5.740072e-05 #>  [2767,] 1.754979e-04 2.302955e-04 2.222012e-04 2.122092e-04 1.854149e-04 #>  [2768,] 1.378563e-05 1.219437e-05 1.279546e-05 1.426519e-05 1.474651e-05 #>  [2769,] 1.230806e-05 1.223906e-05 1.424504e-05 1.550469e-05 1.634110e-05 #>  [2770,] 1.219831e-04 1.093264e-04 9.879144e-05 7.651078e-05 6.873132e-05 #>  [2771,] 1.319651e-05 1.240641e-05 1.439628e-05 1.604667e-05 1.662448e-05 #>  [2772,] 1.656691e-05 1.731389e-05 1.501470e-05 1.467949e-05 1.499772e-05 #>  [2773,] 2.655160e-05 3.155769e-05 2.300868e-05 2.044931e-05 2.221410e-05 #>  [2774,] 1.508794e-05 1.642957e-05 1.743158e-05 1.786228e-05 1.602545e-05 #>  [2775,] 1.377595e-05 1.303340e-05 1.285934e-05 1.487293e-05 1.383118e-05 #>  [2776,] 1.421526e-05 1.571249e-05 1.506749e-05 1.538061e-05 1.383409e-05 #>  [2777,] 1.503494e-05 1.559463e-05 1.627047e-05 1.770286e-05 1.927104e-05 #>  [2778,] 1.631652e-05 1.821672e-05 2.309997e-05 2.239132e-05 1.924259e-05 #>  [2779,] 1.524412e-05 1.494350e-05 1.468667e-05 1.633348e-05 1.705917e-05 #>  [2780,] 1.637688e-05 1.536934e-05 1.497217e-05 1.493026e-05 1.456255e-05 #>  [2781,] 1.416114e-05 1.486121e-05 1.554202e-05 1.515875e-05 1.497681e-05 #>  [2782,] 1.713941e-05 2.001955e-05 2.081419e-05 2.048003e-05 1.823403e-05 #>  [2783,] 1.823293e-05 1.873219e-05 2.250309e-05 2.274052e-05 2.103793e-05 #>  [2784,] 2.725392e-05 2.307365e-05 3.757535e-05 3.594541e-05 2.453229e-05 #>  [2785,] 1.164868e-05 1.349357e-05 2.611093e-05 1.732890e-05 1.170879e-05 #>  [2786,] 1.224645e-05 1.166132e-05 1.317764e-05 1.447569e-05 1.614978e-05 #>  [2787,] 7.546051e-05 1.044196e-04 1.644595e-04 1.619930e-04 1.390471e-04 #>  [2788,] 6.804266e-05 5.871009e-05 4.664038e-05 5.504099e-05 4.861682e-05 #>  [2789,] 1.140504e-03 1.096420e-03 2.982330e-04 3.137687e-04 2.455273e-04 #>  [2790,] 1.539539e-05 1.620061e-05 1.549811e-05 1.639717e-05 1.664927e-05 #>  [2791,] 1.355340e-05 1.376869e-05 1.597268e-05 1.600022e-05 1.540934e-05 #>  [2792,] 1.184905e-05 1.388994e-05 1.862302e-05 2.081310e-05 2.118104e-05 #>  [2793,] 1.947210e-04 2.648322e-04 5.781496e-05 1.140500e-04 1.444976e-04 #>  [2794,] 7.601856e-05 9.924857e-05 1.342714e-04 1.055769e-04 6.447195e-05 #>  [2795,] 4.114571e-05 2.503319e-05 2.725145e-05 2.255696e-05 1.955853e-05 #>  [2796,] 2.066218e-05 2.151522e-05 3.303114e-05 3.717655e-05 4.508251e-05 #>  [2797,] 1.717539e-05 2.003754e-05 2.706502e-05 2.297431e-05 2.321932e-05 #>  [2798,] 1.120806e-05 1.101034e-05 1.081339e-05 1.111425e-05 1.083465e-05 #>  [2799,] 2.469837e-05 2.276460e-05 2.173531e-05 2.206029e-05 2.561217e-05 #>  [2800,] 1.809876e-05 2.287668e-05 2.164216e-05 2.030054e-05 2.488384e-05 #>  [2801,] 1.624841e-05 1.987476e-05 2.744482e-05 1.823950e-05 1.829236e-05 #>  [2802,] 1.536398e-05 1.213347e-05 1.276442e-05 1.278106e-05 1.227444e-05 #>  [2803,] 1.400611e-05 1.393187e-05 1.382904e-05 1.434008e-05 1.416094e-05 #>  [2804,] 2.164408e-05 2.432010e-05 5.659452e-05 6.086484e-05 4.137832e-05 #>  [2805,] 6.726100e-05 8.515045e-05 2.447441e-04 2.200461e-04 1.744049e-04 #>  [2806,] 1.756661e-05 2.080233e-05 1.890097e-05 1.768687e-05 2.131633e-05 #>  [2807,] 1.642747e-05 1.770882e-05 2.469222e-05 2.566960e-05 2.019084e-05 #>  [2808,] 1.127487e-04 1.213486e-04 1.609534e-04 1.186834e-04 9.088930e-05 #>  [2809,] 2.020807e-05 1.977159e-05 1.923816e-05 2.077788e-05 2.435500e-05 #>  [2810,] 4.186701e-04 3.474868e-04 5.542959e-04 6.029225e-04 9.623710e-04 #>  [2811,] 1.657861e-05 1.937923e-05 1.495135e-05 1.479632e-05 1.692038e-05 #>  [2812,] 1.090476e-05 1.074842e-05 1.200430e-05 1.163278e-05 1.038665e-05 #>  [2813,] 1.883951e-05 1.716947e-05 1.547304e-05 1.496917e-05 1.508237e-05 #>  [2814,] 1.991747e-04 1.397620e-04 1.309590e-04 1.417975e-04 1.462806e-04 #>  [2815,] 1.297566e-05 1.211572e-05 1.473560e-05 1.594282e-05 1.620050e-05 #>  [2816,] 1.499594e-04 1.601376e-04 1.643908e-04 1.753081e-04 1.241983e-04 #>  [2817,] 1.404074e-05 1.473332e-05 1.546161e-05 1.642298e-05 1.555615e-05 #>  [2818,] 1.529082e-05 1.739489e-05 1.964400e-05 1.829464e-05 1.691293e-05 #>  [2819,] 1.204994e-05 1.242794e-05 1.276333e-05 1.188010e-05 1.172665e-05 #>  [2820,] 2.313379e-05 2.088199e-05 1.883362e-05 2.381400e-05 2.968850e-05 #>  [2821,] 2.392466e-05 2.024022e-05 2.463684e-05 2.447509e-05 2.367213e-05 #>  [2822,] 3.215628e-05 2.745553e-05 1.859414e-05 1.609356e-05 1.441555e-05 #>  [2823,] 1.463696e-05 1.463932e-05 1.636997e-05 1.656303e-05 1.618512e-05 #>  [2824,] 1.159922e-05 1.204538e-05 1.219136e-05 1.255995e-05 1.320391e-05 #>  [2825,] 1.454263e-05 1.428527e-05 1.449078e-05 1.554734e-05 1.704333e-05 #>  [2826,] 1.555603e-05 1.737012e-05 2.152077e-05 1.864271e-05 1.763196e-05 #>  [2827,] 1.242299e-04 1.335032e-04 9.754577e-05 1.420967e-04 2.408969e-04 #>  [2828,] 1.135788e-05 1.107690e-05 1.153048e-05 1.082898e-05 1.158232e-05 #>  [2829,] 1.391714e-05 1.519733e-05 1.633646e-05 1.793208e-05 1.696099e-05 #>  [2830,] 1.251307e-05 1.256756e-05 1.171825e-05 1.223367e-05 1.252910e-05 #>  [2831,] 4.211293e-05 2.207551e-05 3.001240e-05 3.593138e-05 4.208956e-05 #>  [2832,] 1.690823e-05 1.944965e-05 3.483285e-05 5.584768e-05 1.112157e-04 #>  [2833,] 5.586231e-05 3.251148e-05 3.519124e-05 3.905257e-05 5.216884e-05 #>  [2834,] 1.410861e-05 1.476328e-05 1.347569e-05 1.451519e-05 1.406628e-05 #>  [2835,] 1.469674e-05 1.412150e-05 1.950060e-05 1.994496e-05 2.045782e-05 #>  [2836,] 1.455292e-05 1.277631e-05 1.536259e-05 1.543737e-05 1.517908e-05 #>  [2837,] 1.142405e-05 1.150871e-05 1.145655e-05 1.180224e-05 1.208671e-05 #>  [2838,] 9.539778e-04 8.765730e-04 7.925987e-04 7.351430e-04 7.296014e-04 #>  [2839,] 1.313576e-05 1.356052e-05 1.490621e-05 1.562026e-05 1.693037e-05 #>  [2840,] 2.188429e-05 2.944920e-05 4.902766e-05 5.333817e-05 1.337362e-04 #>  [2841,] 5.114347e-05 1.020846e-04 6.964105e-05 6.276801e-05 1.002568e-04 #>  [2842,] 1.592936e-05 1.694881e-05 1.603780e-05 1.695590e-05 1.882142e-05 #>  [2843,] 1.539620e-05 2.770114e-05 3.711053e-05 3.194263e-05 1.057086e-04 #>  [2844,] 1.249046e-05 1.232796e-05 1.395791e-05 1.402264e-05 1.544997e-05 #>  [2845,] 1.446110e-05 1.393154e-05 1.499274e-05 1.598903e-05 1.469880e-05 #>  [2846,] 1.628186e-05 1.696763e-05 1.669614e-05 1.931590e-05 1.698609e-05 #>  [2847,] 8.863189e-05 1.055559e-04 6.744222e-05 4.984693e-05 6.538199e-05 #>  [2848,] 2.341266e-05 2.285092e-05 2.754323e-05 2.742858e-05 2.721629e-05 #>  [2849,] 2.611972e-04 1.506715e-04 9.169090e-05 6.607233e-05 4.388130e-05 #>  [2850,] 1.175659e-05 1.237830e-05 1.262603e-05 1.332783e-05 1.330252e-05 #>  [2851,] 2.284651e-05 2.325467e-05 1.630198e-05 1.484098e-05 1.346132e-05 #>  [2852,] 1.493395e-05 1.515723e-05 1.883959e-05 1.949790e-05 1.919909e-05 #>  [2853,] 1.278763e-05 1.212925e-05 1.184305e-05 1.196660e-05 1.167006e-05 #>  [2854,] 3.787868e-04 4.675744e-04 3.969227e-04 4.715448e-04 3.336197e-04 #>  [2855,] 1.294452e-05 1.313862e-05 1.434737e-05 1.447437e-05 1.419250e-05 #>  [2856,] 1.453678e-05 1.324773e-05 1.289497e-05 1.416999e-05 1.271020e-05 #>  [2857,] 1.810779e-05 1.862989e-05 2.509079e-05 3.291255e-05 3.026689e-05 #>  [2858,] 1.845374e-05 1.792223e-05 2.314039e-05 2.365313e-05 2.263980e-05 #>  [2859,] 3.266467e-05 1.027479e-04 6.416548e-04 5.044551e-04 6.552337e-04 #>  [2860,] 1.286966e-05 1.180444e-05 1.173384e-05 1.283825e-05 1.221763e-05 #>  [2861,] 1.381220e-05 1.411460e-05 1.416025e-05 1.533601e-05 1.613827e-05 #>  [2862,] 1.273430e-05 1.237949e-05 1.417097e-05 1.410399e-05 1.380512e-05 #>  [2863,] 1.406181e-05 1.374949e-05 1.305800e-05 1.495644e-05 1.586962e-05 #>  [2864,] 2.255968e-05 2.176943e-05 3.667310e-05 3.853147e-05 2.314807e-05 #>  [2865,] 1.966020e-05 2.040606e-05 2.149295e-05 2.021490e-05 1.913095e-05 #>  [2866,] 1.310120e-05 1.299355e-05 1.499904e-05 1.657246e-05 1.502884e-05 #>  [2867,] 1.211156e-05 1.263796e-05 1.243324e-05 1.312655e-05 1.327484e-05 #>  [2868,] 1.621831e-05 1.559554e-05 1.587896e-05 1.683630e-05 1.727837e-05 #>  [2869,] 1.215485e-05 1.219458e-05 1.156004e-05 1.293569e-05 1.280994e-05 #>  [2870,] 1.216024e-05 1.190027e-05 1.122806e-05 1.269713e-05 1.308297e-05 #>  [2871,] 9.393463e-05 8.954905e-05 2.482894e-05 2.246188e-05 1.843490e-05 #>  [2872,] 5.446929e-05 5.547662e-05 2.733452e-05 2.555280e-05 3.537251e-05 #>  [2873,] 4.596306e-05 4.245687e-05 3.403477e-05 3.603461e-05 2.772250e-05 #>  [2874,] 1.210500e-05 1.259254e-05 1.248015e-05 1.528589e-05 1.450696e-05 #>  [2875,] 3.427973e-04 1.078120e-04 7.491217e-05 1.004044e-04 1.321642e-04 #>  [2876,] 1.271700e-05 1.217823e-05 1.272330e-05 1.520510e-05 1.514708e-05 #>  [2877,] 1.436613e-05 1.481603e-05 1.535994e-05 1.528734e-05 1.512105e-05 #>  [2878,] 1.251922e-05 1.277338e-05 1.273028e-05 1.434577e-05 2.006036e-05 #>  [2879,] 1.434938e-05 1.377570e-05 1.378130e-05 1.516539e-05 1.561119e-05 #>  [2880,] 3.202355e-05 3.641920e-05 3.020877e-05 3.431723e-05 3.661402e-05 #>  [2881,] 1.797131e-05 1.836898e-05 1.449237e-05 1.407600e-05 1.404963e-05 #>  [2882,] 1.436938e-05 1.497011e-05 1.503406e-05 1.565001e-05 1.518452e-05 #>  [2883,] 1.601683e-05 1.296812e-05 1.253549e-05 1.250363e-05 1.251488e-05 #>  [2884,] 1.917646e-05 2.505336e-05 2.108952e-05 2.171824e-05 2.128040e-05 #>  [2885,] 5.667710e-05 9.165070e-05 1.095256e-04 1.126154e-04 9.740991e-05 #>  [2886,] 1.331364e-05 1.288986e-05 1.272909e-05 1.234427e-05 1.196374e-05 #>  [2887,] 5.205106e-05 5.720898e-05 3.997419e-05 4.870911e-05 5.173652e-05 #>  [2888,] 1.167364e-05 1.249013e-05 1.249717e-05 1.247576e-05 1.228958e-05 #>  [2889,] 2.708412e-05 2.756023e-05 3.267622e-05 3.240276e-05 3.716363e-05 #>  [2890,] 2.677208e-05 2.754659e-05 2.215663e-05 2.541519e-05 2.186922e-05 #>  [2891,] 3.523152e-05 2.525953e-05 1.569642e-05 1.636341e-05 1.639936e-05 #>  [2892,] 2.795217e-05 2.903208e-05 4.676212e-05 4.879019e-05 3.138301e-05 #>  [2893,] 4.677180e-05 4.806734e-05 3.106357e-05 2.882964e-05 2.169248e-05 #>  [2894,] 1.252775e-05 1.275463e-05 1.451514e-05 1.322907e-05 1.319275e-05 #>  [2895,] 4.863575e-04 2.913259e-04 9.946979e-05 4.120375e-04 5.027395e-04 #>  [2896,] 1.218590e-05 1.334207e-05 1.353935e-05 1.555153e-05 1.686686e-05 #>  [2897,] 2.198848e-05 2.091596e-05 1.967512e-05 1.890027e-05 2.007720e-05 #>  [2898,] 1.939669e-05 1.596113e-05 1.678647e-05 1.599721e-05 1.819504e-05 #>  [2899,] 1.389404e-05 1.393523e-05 1.565676e-05 1.660134e-05 1.524433e-05 #>  [2900,] 1.299926e-05 1.233566e-05 1.164705e-05 1.352579e-05 1.373130e-05 #>  [2901,] 1.836658e-05 1.845315e-05 1.747859e-05 1.730965e-05 1.741312e-05 #>  [2902,] 2.793570e-05 3.594029e-05 4.272916e-05 3.887157e-05 4.546654e-05 #>  [2903,] 1.370576e-05 1.421256e-05 1.468297e-05 1.492064e-05 1.511890e-05 #>  [2904,] 1.499818e-05 1.674729e-05 1.906492e-05 1.637534e-05 1.664125e-05 #>  [2905,] 3.820000e-05 4.484336e-05 4.179864e-05 2.396043e-05 3.580415e-05 #>  [2906,] 1.375223e-05 1.367726e-05 1.456492e-05 1.650712e-05 1.630157e-05 #>  [2907,] 8.701484e-05 8.152006e-05 2.281022e-05 1.682397e-05 1.488845e-05 #>  [2908,] 1.329374e-05 1.279116e-05 1.133856e-05 1.267706e-05 1.318732e-05 #>  [2909,] 8.320468e-05 3.764370e-05 2.759400e-05 2.261760e-05 1.744120e-05 #>  [2910,] 4.211126e-05 4.497204e-05 2.108498e-05 1.734157e-05 1.610889e-05 #>  [2911,] 5.420540e-05 3.886455e-05 3.431800e-05 2.093155e-05 3.659829e-05 #>  [2912,] 1.720418e-05 1.839296e-05 1.988538e-05 1.615449e-05 2.460989e-05 #>  [2913,] 1.584747e-05 1.638655e-05 1.731705e-05 1.791600e-05 1.640787e-05 #>  [2914,] 4.186362e-05 3.769868e-05 4.707784e-05 6.086380e-05 4.617084e-05 #>  [2915,] 1.393991e-04 1.042976e-04 5.812983e-05 6.290078e-05 1.390845e-04 #>  [2916,] 2.059286e-04 1.544463e-04 8.574160e-05 7.537779e-05 7.321133e-05 #>  [2917,] 1.462930e-05 1.410188e-05 1.739118e-05 1.942396e-05 1.626475e-05 #>  [2918,] 1.464958e-05 1.695764e-05 2.108226e-05 1.958603e-05 1.779469e-05 #>  [2919,] 1.762518e-05 1.973952e-05 1.734844e-05 1.726386e-05 1.766838e-05 #>  [2920,] 1.323482e-05 1.397153e-05 1.529453e-05 1.449157e-05 1.481824e-05 #>  [2921,] 3.605914e-05 5.697509e-05 1.520177e-04 1.684757e-04 1.291202e-04 #>  [2922,] 2.821380e-05 3.301626e-05 4.284122e-05 3.799686e-05 2.595945e-05 #>  [2923,] 1.416630e-05 1.643000e-05 1.962899e-05 1.719317e-05 1.620587e-05 #>  [2924,] 1.459179e-05 1.247202e-05 1.142679e-05 1.374537e-05 1.228081e-05 #>  [2925,] 1.384098e-05 1.264420e-05 1.335345e-05 1.379209e-05 1.333981e-05 #>  [2926,] 5.950638e-05 5.271827e-05 3.755353e-05 4.471248e-05 3.631480e-05 #>  [2927,] 1.229628e-05 1.314024e-05 1.375263e-05 1.356925e-05 1.343373e-05 #>  [2928,] 1.579237e-05 1.826962e-05 2.494085e-05 1.892195e-05 1.951291e-05 #>  [2929,] 1.183132e-05 1.153447e-05 1.197902e-05 1.265992e-05 1.286236e-05 #>  [2930,] 1.354525e-05 1.357543e-05 1.485622e-05 1.545180e-05 1.574327e-05 #>  [2931,] 1.322005e-05 1.468790e-05 1.837309e-05 1.519672e-05 1.565944e-05 #>  [2932,] 1.351976e-05 1.433202e-05 1.241665e-05 1.223582e-05 1.519950e-05 #>  [2933,] 1.415479e-05 1.533471e-05 1.523785e-05 1.575150e-05 2.927488e-05 #>  [2934,] 1.482423e-05 1.414882e-05 1.504719e-05 1.453428e-05 1.418014e-05 #>  [2935,] 1.962867e-05 2.169971e-05 1.826052e-05 1.935536e-05 1.769275e-05 #>  [2936,] 1.405773e-05 1.436798e-05 1.673792e-05 1.682791e-05 1.637765e-05 #>  [2937,] 1.449408e-05 1.719689e-05 2.089670e-05 1.750866e-05 1.660991e-05 #>  [2938,] 1.484335e-05 1.528419e-05 1.558373e-05 1.537757e-05 1.660805e-05 #>  [2939,] 1.140268e-05 1.122923e-05 1.182883e-05 1.165731e-05 1.221437e-05 #>  [2940,] 1.301045e-05 1.385979e-05 1.508981e-05 1.587481e-05 1.567266e-05 #>  [2941,] 1.400952e-05 1.448615e-05 1.676210e-05 1.533918e-05 1.579808e-05 #>  [2942,] 4.776868e-05 4.981888e-05 5.328002e-05 5.249001e-05 7.428755e-05 #>  [2943,] 1.519738e-05 1.627390e-05 1.675409e-05 1.752570e-05 1.757842e-05 #>  [2944,] 1.642262e-05 1.926973e-05 3.174897e-05 2.486233e-05 2.036674e-05 #>  [2945,] 1.419031e-05 1.283906e-05 1.199075e-05 1.255133e-05 1.169989e-05 #>  [2946,] 2.173089e-05 2.848047e-05 3.220599e-05 2.794445e-05 1.559009e-05 #>  [2947,] 1.213666e-05 1.121127e-05 1.210786e-05 1.272547e-05 1.291168e-05 #>  [2948,] 1.808809e-05 1.945428e-05 1.723145e-05 1.675726e-05 1.520648e-05 #>  [2949,] 1.292328e-05 1.230646e-05 1.451634e-05 1.534484e-05 1.614661e-05 #>  [2950,] 1.328856e-05 1.470186e-05 1.349216e-05 1.381360e-05 1.421745e-05 #>  [2951,] 1.219558e-05 1.227861e-05 1.386862e-05 1.416037e-05 1.526804e-05 #>  [2952,] 1.400208e-05 1.472354e-05 1.724965e-05 1.582813e-05 1.838143e-05 #>  [2953,] 6.448025e-04 6.786648e-04 9.364651e-04 1.002956e-03 7.989474e-04 #>  [2954,] 1.050456e-04 8.766772e-05 1.172610e-04 1.756317e-04 2.962860e-04 #>  [2955,] 1.467180e-05 1.492263e-05 1.676178e-05 1.833617e-05 1.752177e-05 #>  [2956,] 1.529583e-05 1.749282e-05 1.493798e-05 1.617505e-05 1.621034e-05 #>  [2957,] 1.605012e-05 1.462565e-05 1.579775e-05 1.635478e-05 1.630816e-05 #>  [2958,] 1.054989e-03 1.023860e-03 7.734163e-04 6.758669e-04 5.420435e-04 #>  [2959,] 8.952343e-05 5.931138e-05 3.632306e-05 4.136165e-05 1.122718e-04 #>  [2960,] 1.285365e-05 1.163061e-05 1.337589e-05 1.554627e-05 1.475266e-05 #>  [2961,] 1.539344e-05 1.458016e-05 1.365649e-05 1.457283e-05 1.266157e-05 #>  [2962,] 1.903160e-05 1.904105e-05 1.730149e-05 1.756141e-05 1.697387e-05 #>  [2963,] 1.435557e-05 1.614352e-05 1.686421e-05 1.712917e-05 1.660249e-05 #>  [2964,] 2.587868e-05 5.815803e-05 7.884984e-05 5.307630e-05 6.006119e-05 #>  [2965,] 1.189019e-05 1.163013e-05 1.244014e-05 1.308747e-05 1.215481e-05 #>  [2966,] 1.626074e-05 1.516230e-05 1.760274e-05 1.929676e-05 1.954077e-05 #>  [2967,] 1.572045e-05 2.173706e-05 1.896301e-05 1.781743e-05 1.913449e-05 #>  [2968,] 1.486926e-05 1.330804e-05 1.360638e-05 1.666942e-05 1.692631e-05 #>  [2969,] 1.437341e-05 1.414700e-05 1.626905e-05 1.671928e-05 1.624080e-05 #>  [2970,] 1.138593e-05 1.063883e-05 1.048823e-05 1.125595e-05 1.104120e-05 #>  [2971,] 1.185888e-05 1.147342e-05 1.241171e-05 1.272995e-05 1.232595e-05 #>  [2972,] 1.263976e-05 1.301941e-05 1.357318e-05 1.455266e-05 1.479878e-05 #>  [2973,] 1.741905e-05 1.965601e-05 2.872233e-05 3.057399e-05 2.732293e-05 #>  [2974,] 1.332904e-05 1.289260e-05 1.368120e-05 1.495588e-05 1.501342e-05 #>  [2975,] 1.903013e-05 1.876851e-05 1.478630e-05 1.621305e-05 1.559877e-05 #>  [2976,] 1.449589e-05 1.479625e-05 1.728490e-05 1.980665e-05 1.900674e-05 #>  [2977,] 1.283212e-05 1.228028e-05 1.298578e-05 1.385500e-05 1.383808e-05 #>  [2978,] 1.448470e-05 1.425659e-05 1.578121e-05 1.541903e-05 1.563437e-05 #>  [2979,] 1.736240e-05 1.682108e-05 1.687723e-05 1.997983e-05 1.804832e-05 #>  [2980,] 3.036449e-05 2.793832e-05 4.341284e-05 4.087617e-05 2.735745e-05 #>  [2981,] 2.393288e-05 3.181176e-05 3.355954e-05 3.752858e-05 4.114121e-05 #>  [2982,] 1.518110e-05 1.826147e-05 2.009606e-05 1.940731e-05 1.826070e-05 #>  [2983,] 1.660243e-05 1.994766e-05 4.894379e-05 3.934057e-05 4.781807e-05 #>  [2984,] 1.440566e-05 1.328737e-05 1.543431e-05 1.613140e-05 1.647827e-05 #>  [2985,] 1.416986e-05 1.251156e-05 1.525564e-05 1.555078e-05 1.468943e-05 #>  [2986,] 1.341808e-05 1.325588e-05 1.310361e-05 1.345990e-05 1.429124e-05 #>  [2987,] 1.235470e-05 1.227455e-05 1.197818e-05 1.369025e-05 1.364606e-05 #>  [2988,] 1.298130e-05 1.246631e-05 1.364175e-05 1.477577e-05 1.619907e-05 #>  [2989,] 1.540469e-05 1.523618e-05 1.263672e-05 1.364671e-05 1.272992e-05 #>  [2990,] 1.373252e-05 1.494312e-05 1.443945e-05 1.462467e-05 1.582369e-05 #>  [2991,] 1.591410e-05 1.617237e-05 2.238301e-05 2.769424e-05 4.645321e-05 #>  [2992,] 2.118451e-05 1.796128e-05 2.085343e-05 6.862704e-05 2.308900e-05 #>  [2993,] 4.060718e-05 1.849058e-05 2.466590e-05 2.794023e-05 5.461250e-05 #>  [2994,] 1.131338e-05 1.128910e-05 1.129925e-05 1.090919e-05 1.182782e-05 #>  [2995,] 3.035933e-04 1.915084e-04 2.094852e-04 2.215241e-04 1.903923e-04 #>  [2996,] 1.542649e-05 1.637591e-05 1.769995e-05 1.900544e-05 2.128531e-05 #>  [2997,] 1.345522e-05 1.402597e-05 1.394885e-05 1.296052e-05 1.492080e-05 #>  [2998,] 1.473795e-05 1.470014e-05 1.472398e-05 1.582747e-05 1.711182e-05 #>  [2999,] 2.391657e-05 1.891222e-05 3.003556e-05 3.499577e-05 2.795992e-05 #>  [3000,] 1.675183e-05 1.913697e-05 2.462076e-05 2.172205e-05 1.862819e-05 #>  [3001,] 2.150591e-05 1.765728e-05 1.510974e-05 1.779695e-05 1.687291e-05 #>  [3002,] 1.718959e-05 1.885260e-05 1.861004e-05 2.097304e-05 2.629840e-05 #>  [3003,] 1.697797e-05 1.509171e-05 1.572441e-05 1.845637e-05 1.801396e-05 #>  [3004,] 3.724196e-05 4.118019e-05 3.413768e-05 2.587905e-05 2.868746e-05 #>  [3005,] 1.195643e-05 1.183205e-05 1.148886e-05 1.372484e-05 1.331170e-05 #>  [3006,] 7.376731e-05 6.776208e-05 6.540045e-05 9.087922e-05 1.152379e-04 #>  [3007,] 1.813344e-05 1.681943e-05 1.930259e-05 1.869151e-05 1.940002e-05 #>  [3008,] 1.547994e-05 1.665126e-05 1.836203e-05 1.650599e-05 1.620271e-05 #>  [3009,] 1.534928e-05 1.513298e-05 1.476754e-05 1.659912e-05 1.575611e-05 #>  [3010,] 1.238392e-05 1.185830e-05 1.197892e-05 1.317998e-05 1.294711e-05 #>  [3011,] 1.676879e-05 1.577854e-05 1.472774e-05 1.628757e-05 1.698291e-05 #>  [3012,] 1.913466e-05 1.961129e-05 1.923124e-05 2.102894e-05 2.122813e-05 #>  [3013,] 7.248004e-05 5.412320e-05 2.658280e-05 3.096534e-05 3.859058e-05 #>  [3014,] 1.612816e-05 1.800819e-05 3.874299e-05 3.993688e-05 4.143444e-05 #>  [3015,] 4.899247e-05 5.397738e-05 5.326700e-05 4.640018e-05 4.470381e-05 #>  [3016,] 1.628383e-05 2.075043e-05 2.142806e-05 2.083742e-05 2.154612e-05 #>  [3017,] 1.484043e-04 7.374499e-05 5.462174e-05 6.536969e-05 5.322721e-05 #>  [3018,] 2.358621e-05 2.456798e-05 3.420610e-05 3.145373e-05 3.958190e-05 #>  [3019,] 1.332919e-05 1.354728e-05 1.392219e-05 1.316637e-05 1.350343e-05 #>  [3020,] 1.297670e-05 1.325943e-05 1.605685e-05 1.601225e-05 1.464571e-05 #>  [3021,] 2.147796e-05 2.775182e-05 2.470328e-05 2.219460e-05 1.900009e-05 #>  [3022,] 1.938942e-05 2.365578e-05 3.000334e-05 3.427556e-05 3.634149e-05 #>  [3023,] 2.142832e-05 2.510531e-05 2.472508e-05 2.628883e-05 3.735817e-05 #>  [3024,] 1.685819e-05 1.677583e-05 1.753566e-05 1.782520e-05 1.966124e-05 #>  [3025,] 2.688031e-05 2.875658e-05 2.542760e-05 2.703709e-05 2.606769e-05 #>  [3026,] 1.605152e-05 1.739863e-05 2.995354e-05 2.648687e-05 2.942929e-05 #>  [3027,] 1.259868e-05 1.214898e-05 1.208041e-05 1.235544e-05 1.303444e-05 #>  [3028,] 1.498576e-05 1.474310e-05 1.411531e-05 1.327418e-05 1.335415e-05 #>  [3029,] 1.501529e-05 1.526637e-05 1.231689e-05 1.214542e-05 1.316329e-05 #>  [3030,] 1.242778e-05 1.390479e-05 1.411683e-05 1.541714e-05 4.956000e-05 #>  [3031,] 1.190601e-05 1.284713e-05 1.383253e-05 1.519457e-05 1.522842e-05 #>  [3032,] 1.335097e-05 1.650948e-05 1.842766e-05 1.790778e-05 2.375714e-05 #>  [3033,] 1.086281e-05 1.086251e-05 1.125176e-05 1.240869e-05 1.196613e-05 #>  [3034,] 1.305892e-05 1.284740e-05 1.398148e-05 1.540517e-05 1.608556e-05 #>  [3035,] 1.232819e-05 1.245204e-05 1.395069e-05 1.402222e-05 1.480196e-05 #>  [3036,] 1.305201e-05 1.345484e-05 1.547395e-05 1.471809e-05 1.485201e-05 #>  [3037,] 1.019835e-04 6.851918e-05 1.294592e-04 1.571836e-04 1.479048e-04 #>  [3038,] 2.354881e-05 1.934260e-05 2.799252e-05 2.714181e-05 3.736481e-05 #>  [3039,] 2.005784e-05 2.097801e-05 1.515772e-05 1.562682e-05 1.538654e-05 #>  [3040,] 1.283307e-05 1.556494e-05 1.769169e-05 1.617304e-05 1.661261e-05 #>  [3041,] 2.860086e-05 4.941989e-05 5.049236e-05 5.231095e-05 9.866701e-05 #>  [3042,] 1.289537e-05 1.212694e-05 1.222617e-05 1.251861e-05 1.221604e-05 #>  [3043,] 1.302933e-05 1.304116e-05 1.256323e-05 1.482785e-05 1.613784e-05 #>  [3044,] 1.656567e-05 1.596867e-05 1.767258e-05 1.725702e-05 2.038798e-05 #>  [3045,] 1.469143e-05 1.644845e-05 1.761162e-05 1.759033e-05 1.754632e-05 #>  [3046,] 1.270663e-05 1.274559e-05 1.383590e-05 1.705666e-05 1.816655e-05 #>  [3047,] 1.547896e-05 1.389603e-05 1.503926e-05 1.470026e-05 1.473342e-05 #>  [3048,] 1.890022e-05 2.072154e-05 1.448388e-05 1.412044e-05 1.442154e-05 #>  [3049,] 1.304034e-05 1.628418e-05 2.004042e-05 1.650345e-05 1.541182e-05 #>  [3050,] 2.874270e-05 2.988271e-05 2.334424e-05 2.655002e-05 2.447697e-05 #>  [3051,] 2.190455e-05 2.499481e-05 2.778561e-05 2.766398e-05 2.396831e-05 #>  [3052,] 1.753858e-05 1.981142e-05 2.028680e-05 1.706909e-05 1.717466e-05 #>  [3053,] 1.137034e-05 1.446016e-05 1.596311e-05 1.366755e-05 1.717191e-05 #>  [3054,] 1.582385e-05 1.711793e-05 2.132515e-05 1.535177e-05 1.583823e-05 #>  [3055,] 1.734522e-05 2.275815e-05 4.147215e-05 7.032288e-05 1.093803e-04 #>  [3056,] 1.515877e-05 1.575982e-05 1.915612e-05 1.769794e-05 1.772660e-05 #>  [3057,] 1.437245e-05 1.488742e-05 2.030509e-05 2.028586e-05 1.762821e-05 #>  [3058,] 4.240286e-05 4.593856e-05 2.549098e-05 2.803098e-05 3.012908e-05 #>  [3059,] 1.613656e-05 2.081548e-05 1.895296e-05 1.889646e-05 1.840688e-05 #>  [3060,] 1.289961e-05 1.365749e-05 1.509793e-05 1.567531e-05 1.528223e-05 #>  [3061,] 4.028836e-05 1.254043e-04 6.983289e-05 4.774840e-05 6.060831e-05 #>  [3062,] 1.048616e-05 1.133464e-05 1.064183e-05 1.086153e-05 1.108463e-05 #>  [3063,] 1.349411e-05 1.270605e-05 1.244693e-05 1.274907e-05 1.277289e-05 #>  [3064,] 1.646644e-05 1.676841e-05 2.019140e-05 1.934694e-05 1.721555e-05 #>  [3065,] 1.231470e-05 1.100910e-05 1.161367e-05 1.170512e-05 1.099254e-05 #>  [3066,] 1.369525e-05 1.610199e-05 1.924989e-05 1.605834e-05 1.520424e-05 #>  [3067,] 2.056050e-05 1.743490e-05 2.332017e-05 2.037443e-05 1.922364e-05 #>  [3068,] 1.754361e-05 1.738587e-05 2.084613e-05 2.128320e-05 1.884364e-05 #>  [3069,] 1.141565e-05 1.184168e-05 1.250434e-05 1.279668e-05 1.170013e-05 #>  [3070,] 2.824750e-05 3.387226e-05 4.043596e-05 4.306028e-05 4.125337e-05 #>  [3071,] 1.425196e-05 1.698756e-05 1.977337e-05 2.203861e-05 1.908748e-05 #>  [3072,] 1.434366e-05 1.968388e-05 2.367710e-05 1.596913e-05 1.865433e-05 #>  [3073,] 1.334659e-05 1.216006e-05 1.223498e-05 1.414428e-05 1.483608e-05 #>  [3074,] 3.804710e-04 3.351271e-04 3.121250e-04 2.839371e-04 3.273799e-04 #>  [3075,] 1.972868e-05 2.034983e-05 2.516297e-05 3.097688e-05 3.078743e-05 #>  [3076,] 3.346162e-04 2.162049e-04 1.702713e-04 1.692138e-04 2.190216e-04 #>  [3077,] 1.248762e-05 1.176168e-05 1.236481e-05 1.246009e-05 1.122748e-05 #>  [3078,] 3.391017e-05 4.016246e-05 3.048722e-05 3.640718e-05 3.209542e-05 #>  [3079,] 1.813369e-04 4.210429e-04 2.086066e-04 1.919145e-04 2.696131e-04 #>  [3080,] 3.224585e-05 7.080860e-05 1.509854e-04 1.379917e-04 1.353684e-04 #>  [3081,] 5.674709e-05 4.878031e-05 2.430452e-05 3.180786e-05 5.802054e-05 #>  [3082,] 1.396447e-04 7.501569e-05 3.584673e-05 3.299404e-05 3.018092e-05 #>  [3083,] 1.588220e-05 1.436837e-05 1.511959e-05 1.677175e-05 1.560999e-05 #>  [3084,] 1.427899e-05 1.237406e-05 1.284206e-05 1.366551e-05 1.187820e-05 #>  [3085,] 1.637294e-04 1.493496e-04 1.338037e-04 1.638644e-04 1.582157e-04 #>  [3086,] 4.571091e-05 3.955677e-05 4.624416e-05 5.369451e-05 5.992379e-05 #>  [3087,] 8.031711e-05 8.434573e-05 1.278931e-04 1.282752e-04 1.233341e-04 #>  [3088,] 1.314876e-05 1.380979e-05 1.356538e-05 1.349153e-05 1.286840e-05 #>  [3089,] 9.227740e-04 9.294544e-04 9.621871e-04 1.042917e-03 7.104197e-04 #>  [3090,] 2.936214e-05 2.684868e-05 2.720713e-05 2.714740e-05 3.296900e-05 #>  [3091,] 1.568568e-05 1.485507e-05 1.909737e-05 1.663695e-05 1.647321e-05 #>  [3092,] 1.337949e-05 1.562596e-05 1.394594e-05 1.353190e-05 1.275482e-05 #>  [3093,] 1.675081e-05 2.044656e-05 2.404270e-05 1.698931e-05 1.738149e-05 #>  [3094,] 1.168940e-05 1.178207e-05 1.174676e-05 1.201879e-05 1.043589e-05 #>  [3095,] 2.741361e-05 3.305492e-05 5.268069e-05 6.692996e-05 1.030115e-04 #>  [3096,] 1.263061e-05 1.347621e-05 1.973899e-05 2.099119e-05 1.679856e-05 #>  [3097,] 1.499685e-05 1.419704e-05 1.575931e-05 1.680142e-05 1.748065e-05 #>  [3098,] 6.502356e-05 5.952987e-05 1.092711e-04 9.443440e-05 7.472499e-05 #>  [3099,] 1.606680e-05 1.396846e-05 1.392257e-05 1.527171e-05 1.393334e-05 #>  [3100,] 8.272704e-05 7.571524e-05 6.567658e-05 7.573925e-05 6.732466e-05 #>  [3101,] 5.814960e-05 4.037412e-05 3.069137e-05 2.978622e-05 3.030633e-05 #>  [3102,] 1.373215e-05 1.308999e-05 1.453212e-05 1.694827e-05 1.697322e-05 #>  [3103,] 1.482671e-05 1.443402e-05 1.903702e-05 1.810856e-05 1.883957e-05 #>  [3104,] 2.323290e-05 2.937599e-05 2.423543e-05 2.322402e-05 2.680854e-05 #>  [3105,] 1.294414e-05 1.348943e-05 1.409554e-05 1.534913e-05 1.503085e-05 #>  [3106,] 1.088324e-05 1.051427e-05 1.136018e-05 1.244836e-05 1.228859e-05 #>  [3107,] 1.360859e-05 1.193535e-05 1.252086e-05 1.389559e-05 1.252182e-05 #>  [3108,] 1.219337e-05 1.115565e-05 1.194211e-05 1.358139e-05 1.184220e-05 #>  [3109,] 2.437849e-05 5.093510e-05 2.275418e-05 1.593317e-05 1.291138e-05 #>  [3110,] 5.519275e-05 5.066794e-05 1.206582e-04 1.300793e-04 1.281220e-04 #>  [3111,] 1.739056e-05 1.893810e-05 1.931859e-05 1.850687e-05 2.324366e-05 #>  [3112,] 1.289306e-05 1.219753e-05 1.526697e-05 1.663702e-05 1.574556e-05 #>  [3113,] 2.598418e-05 3.028650e-05 3.122859e-05 2.883392e-05 2.302285e-05 #>  [3114,] 1.772880e-05 1.771427e-05 2.039978e-05 1.768270e-05 1.639632e-05 #>  [3115,] 1.550121e-05 1.945544e-05 2.382875e-05 2.031581e-05 1.506546e-05 #>  [3116,] 2.467371e-05 2.121247e-05 1.568540e-05 1.858013e-05 2.183516e-05 #>  [3117,] 1.209289e-05 1.340082e-05 1.525916e-05 1.415569e-05 1.553173e-05 #>  [3118,] 1.435335e-05 1.363497e-05 1.851378e-05 2.068158e-05 2.251839e-05 #>  [3119,] 1.555438e-05 1.776951e-05 1.924180e-05 2.030011e-05 2.187525e-05 #>  [3120,] 1.317324e-05 1.498767e-05 1.695701e-05 1.484509e-05 1.490742e-05 #>  [3121,] 1.339979e-05 1.378389e-05 1.345668e-05 1.513913e-05 1.402824e-05 #>  [3122,] 1.297247e-05 1.403833e-05 1.288171e-05 1.387999e-05 1.353456e-05 #>  [3123,] 1.353156e-05 1.311241e-05 1.337167e-05 1.551127e-05 1.507652e-05 #>  [3124,] 1.532495e-05 2.152176e-05 3.069044e-05 2.642205e-05 2.834786e-05 #>  [3125,] 1.227390e-05 1.223802e-05 1.304565e-05 1.350012e-05 1.378684e-05 #>  [3126,] 9.216797e-05 6.660376e-05 4.802701e-05 4.300921e-05 3.577985e-05 #>  [3127,] 4.431995e-05 2.473227e-05 1.731796e-05 1.680071e-05 1.823244e-05 #>  [3128,] 1.559906e-05 1.338333e-05 1.279046e-05 1.470055e-05 1.341670e-05 #>  [3129,] 1.894034e-05 2.935229e-05 3.197238e-05 2.750580e-05 2.368814e-05 #>  [3130,] 1.829100e-05 1.904408e-05 2.064593e-05 2.083263e-05 1.934485e-05 #>  [3131,] 1.132691e-05 1.136722e-05 1.088968e-05 1.175218e-05 1.164929e-05 #>  [3132,] 2.521082e-05 2.453441e-05 2.335573e-05 2.953442e-05 3.750815e-05 #>  [3133,] 1.533872e-05 1.891623e-05 2.550598e-05 2.724135e-05 3.164509e-05 #>  [3134,] 1.381047e-05 1.402619e-05 1.512195e-05 1.439896e-05 1.523711e-05 #>  [3135,] 5.556925e-04 3.842333e-04 5.225197e-05 7.203092e-05 6.821875e-05 #>  [3136,] 1.394528e-05 1.251427e-05 1.337427e-05 1.563025e-05 1.598433e-05 #>  [3137,] 1.680513e-05 1.508821e-05 1.871320e-05 1.661585e-05 1.870192e-05 #>  [3138,] 1.551093e-05 1.597480e-05 1.731201e-05 1.614618e-05 1.582218e-05 #>  [3139,] 1.320927e-05 1.297027e-05 1.261039e-05 1.432590e-05 1.399365e-05 #>  [3140,] 1.277016e-05 1.317113e-05 1.314495e-05 1.333204e-05 1.353671e-05 #>  [3141,] 1.487390e-05 1.486522e-05 1.509669e-05 1.567948e-05 1.413681e-05 #>  [3142,] 1.757574e-05 1.513789e-05 1.548488e-05 1.667217e-05 1.509141e-05 #>  [3143,] 1.169136e-04 1.293617e-04 1.589172e-04 1.530964e-04 1.286847e-04 #>  [3144,] 1.223181e-05 1.348109e-05 1.751540e-05 1.697675e-05 2.004760e-05 #>  [3145,] 1.372237e-05 1.337561e-05 1.430858e-05 1.570190e-05 1.601199e-05 #>  [3146,] 1.360892e-05 1.323085e-05 1.468101e-05 1.737344e-05 1.840408e-05 #>  [3147,] 1.457708e-05 1.443218e-05 1.534063e-05 1.610698e-05 1.526278e-05 #>  [3148,] 2.559346e-05 2.205345e-05 2.435021e-05 2.188423e-05 2.084940e-05 #>  [3149,] 1.795645e-05 1.777611e-05 1.683519e-05 1.841714e-05 1.580045e-05 #>  [3150,] 1.637553e-05 1.689028e-05 1.895119e-05 1.915489e-05 1.981536e-05 #>  [3151,] 1.295149e-05 1.204355e-05 1.198380e-05 1.444437e-05 1.390549e-05 #>  [3152,] 1.415830e-05 1.345110e-05 1.253782e-05 1.315758e-05 1.329776e-05 #>  [3153,] 3.174407e-05 3.276192e-05 2.114547e-05 4.213905e-05 6.360226e-05 #>  [3154,] 1.447193e-05 1.448439e-05 1.528953e-05 1.624846e-05 1.522979e-05 #>  [3155,] 1.379485e-05 1.430046e-05 1.613126e-05 1.658137e-05 1.555512e-05 #>  [3156,] 1.178905e-05 1.348101e-05 1.356219e-05 1.345721e-05 1.226146e-05 #>  [3157,] 1.597116e-05 1.556021e-05 1.267937e-05 1.418030e-05 1.373729e-05 #>  [3158,] 1.471851e-05 1.634849e-05 2.508961e-05 2.882546e-05 2.495101e-05 #>  [3159,] 1.340510e-05 1.287639e-05 1.492437e-05 1.420804e-05 1.459576e-05 #>  [3160,] 1.671485e-05 1.458822e-05 1.567305e-05 1.788629e-05 1.379367e-05 #>  [3161,] 1.135038e-05 1.184852e-05 1.197167e-05 1.300653e-05 1.134853e-05 #>  [3162,] 1.738416e-05 1.783080e-05 1.685107e-05 1.821821e-05 1.863880e-05 #>  [3163,] 3.053558e-05 2.718792e-05 2.166792e-05 2.114908e-05 2.123418e-05 #>  [3164,] 1.443268e-04 1.486700e-04 1.333582e-04 1.202358e-04 8.119804e-05 #>  [3165,] 1.702627e-05 2.300629e-05 5.934254e-05 3.725234e-05 9.303177e-05 #>  [3166,] 1.323006e-05 1.357852e-05 1.540773e-05 1.539988e-05 2.036683e-05 #>  [3167,] 1.639065e-05 1.586070e-05 2.049415e-05 1.932510e-05 1.516293e-05 #>  [3168,] 1.319964e-05 1.357314e-05 1.359887e-05 1.371036e-05 1.522774e-05 #>  [3169,] 1.314481e-05 1.205363e-05 1.349879e-05 1.526715e-05 1.512144e-05 #>  [3170,] 5.172396e-05 4.541764e-05 8.235492e-05 1.000893e-04 8.708048e-05 #>  [3171,] 1.374012e-05 1.324507e-05 1.335647e-05 1.280852e-05 1.283940e-05 #>  [3172,] 2.117767e-04 1.295142e-04 2.190532e-05 2.051755e-05 1.803172e-05 #>  [3173,] 6.126879e-05 9.080352e-05 2.084617e-04 1.945842e-04 3.380159e-04 #>  [3174,] 1.507548e-05 1.544069e-05 1.308794e-05 1.418453e-05 1.515421e-05 #>  [3175,] 1.304300e-05 1.177006e-05 1.241056e-05 1.436013e-05 1.577927e-05 #>  [3176,] 1.336677e-05 1.316374e-05 1.466577e-05 1.406224e-05 1.452586e-05 #>  [3177,] 1.451025e-05 1.347531e-05 1.683989e-05 1.604482e-05 1.635687e-05 #>  [3178,] 1.625362e-05 1.901151e-05 2.716229e-05 1.811878e-05 1.761737e-05 #>  [3179,] 1.380674e-05 1.438551e-05 1.588920e-05 1.492705e-05 1.417304e-05 #>  [3180,] 4.152116e-05 3.411228e-05 7.437007e-05 1.035199e-04 7.124815e-05 #>  [3181,] 2.353843e-05 2.861662e-05 3.420826e-05 3.372854e-05 2.967059e-05 #>  [3182,] 1.529517e-05 1.615811e-05 2.308223e-05 2.153651e-05 1.975368e-05 #>  [3183,] 3.107581e-05 2.492443e-05 2.760009e-05 3.044692e-05 2.756845e-05 #>  [3184,] 4.578039e-05 3.274205e-05 3.748596e-05 3.994092e-05 3.429545e-05 #>  [3185,] 1.629551e-05 2.458375e-05 2.317736e-05 1.684840e-05 1.518020e-05 #>  [3186,] 1.085820e-05 1.069789e-05 1.169958e-05 1.119331e-05 9.888179e-06 #>  [3187,] 4.274328e-05 6.621206e-05 3.970226e-05 3.820280e-05 4.872289e-05 #>  [3188,] 1.442913e-05 1.578460e-05 1.864324e-05 1.572267e-05 1.773785e-05 #>  [3189,] 1.839410e-05 1.744168e-05 1.979579e-05 2.037356e-05 1.877669e-05 #>  [3190,] 1.336048e-05 1.250165e-05 1.241116e-05 1.339668e-05 1.325061e-05 #>  [3191,] 1.520570e-05 1.487076e-05 1.568073e-05 1.587221e-05 1.415868e-05 #>  [3192,] 2.004641e-05 2.225289e-05 5.229562e-05 7.500801e-05 9.495410e-05 #>  [3193,] 1.994236e-05 2.520194e-05 3.418185e-05 2.940451e-05 2.399174e-05 #>  [3194,] 1.325162e-05 1.259661e-05 1.394443e-05 1.532772e-05 1.470624e-05 #>  [3195,] 1.265736e-05 1.234982e-05 1.439748e-05 1.473223e-05 1.505633e-05 #>  [3196,] 6.949095e-05 2.762285e-05 2.063112e-05 2.125634e-05 1.748488e-05 #>  [3197,] 3.149849e-05 3.791025e-05 4.251549e-05 4.466290e-05 3.873871e-05 #>  [3198,] 1.301146e-05 1.383497e-05 1.512325e-05 1.431845e-05 1.533664e-05 #>  [3199,] 7.387318e-05 5.017392e-05 6.834879e-05 6.970525e-05 6.812461e-05 #>  [3200,] 6.673036e-05 1.066903e-04 1.214556e-04 9.432271e-05 2.091065e-04 #>  [3201,] 1.449370e-05 1.312337e-05 1.852145e-05 1.674476e-05 1.649960e-05 #>  [3202,] 1.265339e-05 1.220717e-05 1.361689e-05 1.300245e-05 1.236960e-05 #>  [3203,] 1.181453e-05 1.305476e-05 1.482917e-05 1.430082e-05 1.502565e-05 #>  [3204,] 1.672894e-05 1.928785e-05 1.751567e-05 1.701793e-05 1.813008e-05 #>  [3205,] 1.734582e-05 1.459588e-05 1.645133e-05 1.770458e-05 1.579524e-05 #>  [3206,] 2.418764e-05 1.934445e-05 2.556831e-05 2.811913e-05 2.793417e-05 #>  [3207,] 1.236116e-05 1.239309e-05 1.343958e-05 1.314620e-05 1.819610e-05 #>  [3208,] 2.306617e-05 2.394139e-05 2.987437e-05 2.742600e-05 2.359780e-05 #>  [3209,] 7.598343e-04 7.980722e-04 4.815466e-04 2.577008e-04 2.102711e-04 #>  [3210,] 2.155778e-05 2.103181e-05 2.718353e-05 2.610791e-05 2.767705e-05 #>  [3211,] 1.158779e-04 8.287682e-05 1.802776e-04 1.988259e-04 1.286337e-04 #>  [3212,] 1.445032e-05 1.379714e-05 1.486622e-05 1.603243e-05 1.592368e-05 #>  [3213,] 6.454624e-05 5.515134e-05 4.671701e-05 5.353411e-05 6.859504e-05 #>  [3214,] 1.105393e-05 1.007495e-05 1.064577e-05 1.055592e-05 1.019272e-05 #>  [3215,] 1.252594e-05 1.146808e-05 1.214847e-05 1.288804e-05 1.216415e-05 #>  [3216,] 5.018449e-04 6.018278e-04 2.209582e-04 1.316549e-04 9.525337e-05 #>  [3217,] 1.273889e-05 1.421000e-05 1.311580e-05 1.150609e-05 1.107617e-05 #>  [3218,] 1.358099e-05 1.631494e-05 2.524215e-05 1.869434e-05 1.763220e-05 #>  [3219,] 1.331648e-05 1.250823e-05 1.267742e-05 1.416762e-05 1.337145e-05 #>  [3220,] 1.764009e-05 1.791392e-05 2.463392e-05 2.709738e-05 3.841281e-05 #>  [3221,] 1.074338e-04 9.948146e-05 1.154788e-04 1.158173e-04 1.154586e-04 #>  [3222,] 1.524206e-05 1.486284e-05 1.860374e-05 1.612665e-05 1.695088e-05 #>  [3223,] 1.461447e-05 1.329707e-05 1.840942e-05 1.567593e-05 1.763455e-05 #>  [3224,] 2.751530e-05 3.213450e-05 1.476688e-05 1.373349e-05 1.514642e-05 #>  [3225,] 1.251237e-05 1.398511e-05 1.493506e-05 1.410615e-05 1.463914e-05 #>  [3226,] 8.746493e-05 4.729560e-05 4.178889e-05 5.630162e-05 5.330774e-05 #>  [3227,] 1.415313e-05 1.333215e-05 1.520539e-05 1.673130e-05 1.477825e-05 #>  [3228,] 1.772338e-05 1.829815e-05 1.315429e-05 1.494668e-05 1.618374e-05 #>  [3229,] 1.281363e-05 1.154036e-05 1.126407e-05 1.163170e-05 1.157041e-05 #>  [3230,] 1.485579e-05 1.442939e-05 1.744372e-05 1.890831e-05 1.621908e-05 #>  [3231,] 3.834506e-05 1.234593e-05 1.162975e-05 1.260227e-05 1.288858e-05 #>  [3232,] 1.453298e-05 1.353700e-05 1.309643e-05 1.267268e-05 1.287978e-05 #>  [3233,] 1.417964e-05 1.358041e-05 1.510086e-05 1.603704e-05 1.492118e-05 #>  [3234,] 1.588581e-05 1.456782e-05 1.644245e-05 1.755051e-05 1.544940e-05 #>  [3235,] 1.416064e-05 1.538852e-05 1.950827e-05 1.703882e-05 1.735005e-05 #>  [3236,] 8.064384e-04 8.930797e-04 7.076594e-04 6.388056e-04 7.617816e-04 #>  [3237,] 2.371244e-05 1.576349e-05 1.483835e-05 1.505636e-05 1.530505e-05 #>  [3238,] 2.274657e-05 1.260824e-05 1.337330e-05 1.472428e-05 1.587370e-05 #>  [3239,] 1.373932e-05 1.388042e-05 1.530880e-05 1.556091e-05 1.473554e-05 #>  [3240,] 3.049200e-05 3.065612e-05 1.772280e-05 1.876497e-05 2.667135e-05 #>  [3241,] 3.825958e-05 3.869905e-05 3.392516e-05 3.795129e-05 3.002811e-05 #>  [3242,] 1.308506e-05 1.318868e-05 1.413583e-05 1.374365e-05 1.481424e-05 #>  [3243,] 1.376949e-05 1.269099e-05 1.250904e-05 1.533312e-05 1.663377e-05 #>  [3244,] 1.655926e-05 1.530468e-05 1.755365e-05 1.702444e-05 1.693492e-05 #>  [3245,] 1.671587e-05 1.462442e-05 1.761567e-05 2.035877e-05 1.803292e-05 #>  [3246,] 1.399929e-05 1.539580e-05 1.907602e-05 1.727860e-05 1.624125e-05 #>  [3247,] 1.270179e-05 1.233887e-05 1.280821e-05 1.309701e-05 1.395541e-05 #>  [3248,] 1.171070e-05 1.162188e-05 1.211210e-05 1.269408e-05 1.282490e-05 #>  [3249,] 1.438136e-05 1.370808e-05 1.633225e-05 1.897754e-05 1.748874e-05 #>  [3250,] 1.509660e-05 1.406462e-05 1.596966e-05 1.703681e-05 1.579942e-05 #>  [3251,] 2.155062e-05 1.939561e-05 1.596700e-05 2.020089e-05 2.188544e-05 #>  [3252,] 5.622365e-05 6.036023e-05 3.157457e-05 3.217745e-05 3.048981e-05 #>  [3253,] 1.256491e-05 1.245681e-05 1.281671e-05 1.452745e-05 1.439783e-05 #>  [3254,] 1.335002e-05 1.325345e-05 1.292962e-05 1.554951e-05 1.611955e-05 #>  [3255,] 1.637151e-05 1.641073e-05 1.691385e-05 1.786411e-05 1.590881e-05 #>  [3256,] 1.433294e-05 1.676775e-05 1.974198e-05 1.920728e-05 1.712582e-05 #>  [3257,] 1.447464e-05 1.265400e-05 1.280579e-05 1.492205e-05 1.334882e-05 #>  [3258,] 1.593735e-05 1.587228e-05 1.690310e-05 1.849936e-05 1.950530e-05 #>  [3259,] 2.144690e-05 2.459689e-05 2.362967e-05 2.467083e-05 2.437533e-05 #>  [3260,] 1.147237e-05 1.215741e-05 1.235263e-05 1.212005e-05 1.231305e-05 #>  [3261,] 1.182286e-05 1.155596e-05 1.297318e-05 1.345072e-05 1.394341e-05 #>  [3262,] 3.370531e-05 2.444765e-05 3.863738e-05 4.863550e-05 3.595754e-05 #>  [3263,] 1.683723e-05 1.683792e-05 1.998606e-05 1.786093e-05 1.877415e-05 #>  [3264,] 4.033790e-05 5.331687e-05 4.773845e-05 4.671185e-05 2.592267e-05 #>  [3265,] 1.398013e-05 1.287682e-05 1.552346e-05 1.494433e-05 1.580198e-05 #>  [3266,] 1.792929e-05 1.618646e-05 1.714773e-05 1.860586e-05 1.628470e-05 #>  [3267,] 1.233971e-05 1.178739e-05 1.322009e-05 1.301490e-05 1.331967e-05 #>  [3268,] 2.219698e-04 1.765547e-04 1.329346e-04 1.231608e-04 1.010055e-04 #>  [3269,] 1.919504e-05 1.636079e-05 1.843995e-05 1.966624e-05 1.724612e-05 #>  [3270,] 1.330393e-05 1.527070e-05 1.782230e-05 1.905235e-05 1.963794e-05 #>  [3271,] 1.231792e-05 1.244136e-05 1.204120e-05 1.251481e-05 1.202017e-05 #>  [3272,] 1.563794e-05 1.352563e-05 1.343662e-05 1.529074e-05 1.380904e-05 #>  [3273,] 1.905750e-05 2.289109e-05 1.036710e-04 1.100679e-04 7.883018e-05 #>  [3274,] 2.176641e-05 2.462941e-05 2.294251e-05 2.550781e-05 2.284905e-05 #>  [3275,] 1.416306e-05 1.527447e-05 1.660091e-05 1.651718e-05 1.547954e-05 #>  [3276,] 2.824086e-05 2.709187e-05 1.728786e-05 1.906834e-05 1.953992e-05 #>  [3277,] 1.166024e-05 1.146552e-05 1.121006e-05 1.170202e-05 1.159808e-05 #>  [3278,] 5.658199e-05 3.340326e-05 3.594436e-05 3.729881e-05 2.956740e-05 #>  [3279,] 3.006009e-04 1.928113e-04 1.039691e-04 7.878108e-05 2.010366e-04 #>  [3280,] 1.254486e-05 1.248109e-05 1.343298e-05 1.306092e-05 1.381558e-05 #>  [3281,] 1.423979e-05 1.419340e-05 1.351748e-05 1.385313e-05 1.384685e-05 #>  [3282,] 2.788034e-05 3.179128e-05 2.546227e-05 2.542756e-05 2.524831e-05 #>  [3283,] 1.650352e-05 1.902216e-05 2.325588e-05 2.788836e-05 4.172592e-05 #>  [3284,] 1.352540e-05 1.367335e-05 1.331516e-05 1.374515e-05 1.338762e-05 #>  [3285,] 2.638355e-05 2.878098e-05 2.570760e-05 3.318560e-05 3.050435e-05 #>  [3286,] 2.100680e-05 2.107873e-05 2.029872e-05 2.085324e-05 1.993743e-05 #>  [3287,] 2.599433e-05 2.284824e-05 2.126450e-05 2.288772e-05 1.996257e-05 #>  [3288,] 4.695760e-05 7.292326e-05 1.158086e-04 1.072111e-04 1.131645e-04 #>  [3289,] 7.084366e-04 7.125242e-04 4.321836e-04 3.442866e-04 3.583614e-04 #>  [3290,] 2.004854e-05 1.699013e-05 1.410529e-05 1.407046e-05 1.377291e-05 #>  [3291,] 2.085133e-05 2.477805e-05 4.177245e-05 3.846382e-05 4.412317e-05 #>  [3292,] 1.669239e-05 1.974018e-05 2.823105e-05 3.049009e-05 3.442039e-05 #>  [3293,] 1.851365e-05 1.791547e-05 2.822986e-05 3.389235e-05 3.276425e-05 #>  [3294,] 1.380303e-05 1.580105e-05 1.756292e-05 1.800253e-05 1.652123e-05 #>  [3295,] 1.467821e-04 1.301461e-04 1.822929e-04 1.527292e-04 1.198821e-04 #>  [3296,] 6.910558e-05 9.536971e-05 4.892750e-05 4.307147e-05 2.928641e-05 #>  [3297,] 1.322364e-05 1.203173e-05 1.415885e-05 1.574327e-05 1.502503e-05 #>  [3298,] 1.276435e-05 1.232755e-05 1.224072e-05 1.215820e-05 1.177698e-05 #>  [3299,] 1.403445e-05 1.354388e-05 1.492623e-05 1.381107e-05 1.565445e-05 #>  [3300,] 4.121528e-05 2.525725e-05 2.651344e-05 2.800815e-05 3.081247e-05 #>  [3301,] 1.481303e-05 1.449702e-05 2.327916e-05 2.633113e-05 3.150225e-05 #>  [3302,] 4.130377e-05 2.845352e-05 3.657289e-05 3.086878e-05 2.498417e-05 #>  [3303,] 1.693466e-05 1.970201e-05 2.757288e-05 2.221213e-05 2.145302e-05 #>  [3304,] 1.288298e-05 1.352525e-05 1.491426e-05 1.517868e-05 1.582420e-05 #>  [3305,] 1.642779e-05 1.680818e-05 1.963798e-05 1.589125e-05 1.692402e-05 #>  [3306,] 1.528008e-05 1.933286e-05 2.519202e-05 1.989373e-05 1.818404e-05 #>  [3307,] 1.923742e-05 1.880947e-05 1.590198e-05 1.626384e-05 1.742177e-05 #>  [3308,] 2.098348e-05 2.879913e-05 6.086286e-05 5.766200e-05 8.243804e-05 #>  [3309,] 1.090257e-04 2.341724e-04 3.475491e-04 1.774200e-04 1.925447e-04 #>  [3310,] 2.663641e-05 2.529067e-05 2.974817e-05 3.145710e-05 2.945654e-05 #>  [3311,] 1.187584e-05 1.244703e-05 1.296311e-05 1.355810e-05 1.270751e-05 #>  [3312,] 1.698839e-05 2.067922e-05 2.073105e-05 1.911944e-05 1.862594e-05 #>  [3313,] 1.974110e-05 2.025567e-05 1.798098e-05 1.961581e-05 1.872265e-05 #>  [3314,] 3.936724e-05 2.779702e-05 5.427953e-05 5.572312e-05 5.344735e-05 #>  [3315,] 1.236566e-05 1.197479e-05 1.196465e-05 1.297372e-05 1.228907e-05 #>  [3316,] 1.356089e-05 1.353954e-05 1.279278e-05 1.377413e-05 1.387951e-05 #>  [3317,] 2.420406e-05 1.904939e-05 3.006965e-05 3.158386e-05 2.827316e-05 #>  [3318,] 1.310945e-05 1.461102e-05 1.478489e-05 1.607182e-05 1.447322e-05 #>  [3319,] 1.342236e-05 1.324054e-05 1.403807e-05 2.040349e-05 2.108858e-05 #>  [3320,] 2.642426e-04 2.568842e-04 1.780191e-04 2.877571e-04 6.792199e-04 #>  [3321,] 1.471861e-05 1.762050e-05 3.233203e-05 2.085248e-05 2.178686e-05 #>  [3322,] 5.638527e-05 5.339798e-05 1.132228e-04 1.060839e-04 8.523205e-05 #>  [3323,] 3.968149e-05 1.647897e-05 1.947587e-05 1.844430e-05 1.755370e-05 #>  [3324,] 3.054728e-05 2.011214e-05 2.282291e-05 2.505412e-05 3.178368e-05 #>  [3325,] 1.191087e-05 1.272030e-05 1.389246e-05 1.530499e-05 1.468284e-05 #>  [3326,] 1.393832e-05 1.812910e-05 2.349005e-05 1.539640e-05 1.616665e-05 #>  [3327,] 1.466234e-05 1.266982e-05 1.521685e-05 1.797148e-05 1.716945e-05 #>  [3328,] 1.937162e-05 1.636156e-05 2.093059e-05 2.602260e-05 2.898268e-05 #>  [3329,] 1.154218e-05 1.097997e-05 1.053840e-05 1.144355e-05 1.261900e-05 #>  [3330,] 1.244684e-05 1.227430e-05 1.353643e-05 1.456302e-05 1.753238e-05 #>  [3331,] 1.688853e-05 1.626721e-05 1.859659e-05 1.945766e-05 2.112700e-05 #>  [3332,] 1.630256e-05 1.479487e-05 1.585758e-05 1.588626e-05 1.659371e-05 #>  [3333,] 1.547528e-05 1.535674e-05 1.796438e-05 1.742635e-05 1.794079e-05 #>  [3334,] 1.396212e-05 1.366031e-05 1.442395e-05 1.655007e-05 1.572868e-05 #>  [3335,] 1.209848e-05 1.253147e-05 1.541957e-05 1.629980e-05 1.522158e-05 #>  [3336,] 1.279380e-05 1.373137e-05 1.684562e-05 1.506368e-05 1.503229e-05 #>  [3337,] 1.376032e-05 1.394197e-05 1.800299e-05 1.667834e-05 1.903418e-05 #>  [3338,] 1.195627e-05 1.170658e-05 1.224636e-05 1.221196e-05 1.286732e-05 #>  [3339,] 1.789711e-05 2.132953e-05 2.311263e-05 2.364568e-05 2.583535e-05 #>  [3340,] 1.404995e-05 1.318508e-05 1.487600e-05 1.594471e-05 1.551450e-05 #>  [3341,] 1.415306e-05 1.304191e-05 1.264056e-05 1.388519e-05 1.321249e-05 #>  [3342,] 1.385642e-05 1.464333e-05 1.549655e-05 1.616625e-05 1.595480e-05 #>  [3343,] 1.470506e-05 1.248876e-05 1.365408e-05 1.613233e-05 1.588728e-05 #>  [3344,] 1.565131e-05 1.542923e-05 1.431629e-05 1.648555e-05 1.695634e-05 #>  [3345,] 1.455320e-05 5.414055e-05 4.826090e-05 2.582503e-05 1.269637e-05 #>  [3346,] 1.432413e-05 1.419079e-05 1.433703e-05 1.668526e-05 1.685215e-05 #>  [3347,] 2.993043e-04 3.373501e-04 1.790683e-04 1.908146e-04 3.264052e-04 #>  [3348,] 5.785955e-05 4.541272e-05 3.821404e-05 6.268068e-05 7.622901e-05 #>  [3349,] 7.114661e-04 6.088006e-04 4.369154e-04 5.850347e-04 5.587592e-04 #>  [3350,] 1.702401e-05 2.338453e-05 2.024158e-05 1.668709e-05 2.140724e-05 #>  [3351,] 1.595369e-05 1.710176e-05 2.281098e-05 1.979137e-05 1.913874e-05 #>  [3352,] 2.491085e-05 2.260896e-05 2.202472e-05 2.571583e-05 2.390486e-05 #>  [3353,] 1.646721e-05 1.663278e-05 2.024628e-05 2.523213e-05 2.175909e-05 #>  [3354,] 1.296559e-04 2.834286e-04 2.192439e-04 1.728586e-04 1.743535e-04 #>  [3355,] 1.924140e-04 8.131063e-04 5.950386e-05 4.348313e-05 1.491496e-04 #>  [3356,] 1.685031e-05 1.548127e-05 1.803972e-05 1.969454e-05 1.774223e-05 #>  [3357,] 1.636498e-05 1.687650e-05 1.736296e-05 1.675398e-05 1.640698e-05 #>  [3358,] 1.342617e-05 1.366759e-05 1.388298e-05 1.517946e-05 1.551942e-05 #>  [3359,] 1.602182e-05 1.909162e-05 1.933104e-05 2.119110e-05 2.276143e-05 #>  [3360,] 3.502174e-05 2.907974e-05 2.656600e-05 2.325848e-05 2.039226e-05 #>  [3361,] 2.086039e-05 2.428817e-05 2.524033e-05 2.180175e-05 2.049126e-05 #>  [3362,] 5.502387e-05 5.733761e-05 3.531634e-05 3.852834e-05 3.942245e-05 #>  [3363,] 1.706877e-05 1.652420e-05 1.411276e-05 1.633223e-05 1.707208e-05 #>  [3364,] 1.564596e-05 1.611024e-05 1.629052e-05 2.343272e-05 4.270624e-05 #>  [3365,] 1.651320e-05 1.455597e-05 1.949157e-05 1.778132e-05 1.716247e-05 #>  [3366,] 1.307804e-04 1.065654e-04 4.161408e-05 4.250202e-05 3.352728e-05 #>  [3367,] 1.481298e-05 1.346472e-05 1.524786e-05 1.724852e-05 1.485737e-05 #>  [3368,] 1.789390e-05 1.825830e-05 2.409793e-05 2.225177e-05 2.006752e-05 #>  [3369,] 4.363166e-05 4.241850e-05 3.576166e-05 3.171578e-05 2.611655e-05 #>  [3370,] 8.732594e-05 8.462338e-05 2.304839e-05 2.218640e-05 2.766261e-05 #>  [3371,] 3.109989e-05 2.972876e-05 2.487106e-05 2.995170e-05 2.792511e-05 #>  [3372,] 1.309885e-05 1.148730e-05 1.238735e-05 1.341853e-05 1.379626e-05 #>  [3373,] 1.208753e-05 1.086862e-05 1.191408e-05 1.341134e-05 1.363956e-05 #>  [3374,] 2.715557e-05 3.036914e-05 4.851159e-05 5.365032e-05 4.537218e-05 #>  [3375,] 1.501547e-05 1.595335e-05 1.822060e-05 1.744825e-05 1.749072e-05 #>  [3376,] 9.257507e-04 9.920172e-04 9.803053e-04 9.994018e-04 1.052169e-03 #>  [3377,] 5.688357e-04 7.621531e-04 7.842436e-04 5.666429e-04 6.548748e-04 #>  [3378,] 1.257785e-05 1.343554e-05 1.359955e-05 1.421653e-05 1.459500e-05 #>  [3379,] 1.833850e-05 2.148310e-05 2.051485e-05 2.219226e-05 2.574221e-05 #>  [3380,] 1.260620e-05 1.484136e-05 1.797120e-05 1.611439e-05 2.240609e-05 #>  [3381,] 3.688477e-05 2.533839e-05 2.553904e-05 2.933346e-05 2.669390e-05 #>  [3382,] 2.594956e-05 2.738206e-05 5.293299e-05 6.391470e-05 8.084359e-05 #>  [3383,] 1.666253e-05 1.793940e-05 2.037928e-05 1.879299e-05 1.713209e-05 #>  [3384,] 1.511330e-05 1.336819e-05 1.552820e-05 1.586951e-05 1.630315e-05 #>  [3385,] 1.501476e-05 1.783770e-05 1.902596e-05 1.798318e-05 1.660060e-05 #>  [3386,] 1.392706e-05 1.324022e-05 1.444553e-05 1.481898e-05 1.563492e-05 #>  [3387,] 1.599663e-05 1.621293e-05 1.572682e-05 2.233283e-05 2.202154e-05 #>  [3388,] 4.074767e-04 3.797077e-04 5.949464e-04 4.544747e-04 3.110181e-04 #>  [3389,] 1.445771e-05 1.315360e-05 1.506698e-05 1.662569e-05 1.558896e-05 #>  [3390,] 1.403630e-05 1.431003e-05 1.578088e-05 1.747073e-05 1.557217e-05 #>  [3391,] 3.743633e-04 5.284349e-04 7.859965e-04 5.801589e-04 4.089484e-04 #>  [3392,] 1.491480e-05 1.291094e-05 1.204490e-05 1.462801e-05 1.313829e-05 #>  [3393,] 1.839237e-04 1.312029e-04 1.525637e-04 1.362843e-04 9.893860e-05 #>  [3394,] 1.567700e-05 2.511141e-05 5.074327e-05 3.867210e-05 5.558960e-05 #>  [3395,] 1.873933e-05 1.301447e-05 1.454586e-05 1.648167e-05 1.856775e-05 #>  [3396,] 1.275641e-05 1.305513e-05 1.447761e-05 1.418966e-05 1.389830e-05 #>  [3397,] 1.264575e-05 1.273138e-05 1.219884e-05 1.323761e-05 1.264098e-05 #>  [3398,] 1.406668e-05 1.376206e-05 1.634913e-05 1.827446e-05 1.583423e-05 #>  [3399,] 1.273408e-05 1.358535e-05 1.553281e-05 1.711981e-05 1.628278e-05 #>  [3400,] 1.196795e-05 1.155465e-05 1.273871e-05 1.420082e-05 1.475956e-05 #>  [3401,] 1.345521e-05 1.443572e-05 1.475551e-05 1.504396e-05 1.557177e-05 #>  [3402,] 1.351449e-05 1.343833e-05 1.543245e-05 1.478913e-05 1.465592e-05 #>  [3403,] 1.390742e-05 1.494609e-05 2.107122e-05 1.656182e-05 1.570417e-05 #>  [3404,] 1.728086e-05 1.574570e-05 1.642913e-05 1.725934e-05 1.608750e-05 #>  [3405,] 3.109926e-05 1.705013e-05 1.655621e-05 1.683097e-05 1.791043e-05 #>  [3406,] 1.287936e-05 1.139619e-05 1.128500e-05 1.122043e-05 1.177927e-05 #>  [3407,] 1.890915e-05 1.905431e-05 1.695185e-05 1.779084e-05 1.707844e-05 #>  [3408,] 5.178354e-05 7.857217e-05 1.708747e-04 1.674880e-04 1.660393e-04 #>  [3409,] 2.630954e-05 3.970244e-05 4.062851e-05 3.802627e-05 5.287868e-05 #>  [3410,] 1.678139e-05 1.637394e-05 1.532427e-05 1.542947e-05 1.484112e-05 #>  [3411,] 1.539920e-05 1.605499e-05 1.550258e-05 1.678956e-05 2.041501e-05 #>  [3412,] 3.380734e-04 2.328698e-04 6.747716e-05 4.854706e-05 2.509081e-05 #>  [3413,] 1.285118e-05 1.500357e-05 1.463189e-05 1.338449e-05 1.405163e-05 #>  [3414,] 3.381418e-05 2.746741e-05 1.984276e-05 2.242257e-05 1.975777e-05 #>  [3415,] 4.346450e-05 2.909609e-05 2.605302e-05 3.552720e-05 2.091451e-05 #>  [3416,] 1.449810e-05 1.640664e-05 3.094402e-05 3.041797e-05 2.955344e-05 #>  [3417,] 1.458273e-05 1.378461e-05 1.565610e-05 1.615839e-05 2.838326e-05 #>  [3418,] 1.044279e-04 1.216026e-04 2.429149e-04 3.313301e-04 5.420453e-04 #>  [3419,] 5.910036e-05 5.456349e-05 7.767874e-05 7.778412e-05 5.325240e-05 #>  [3420,] 2.594325e-05 2.624004e-05 1.991605e-05 2.155287e-05 2.033187e-05 #>  [3421,] 2.705638e-05 3.588875e-05 6.717279e-05 4.467092e-05 3.599426e-05 #>  [3422,] 1.473566e-05 1.487314e-05 1.740049e-05 1.424697e-05 1.640871e-05 #>  [3423,] 1.031257e-05 9.900476e-06 1.007093e-05 1.072024e-05 1.097537e-05 #>  [3424,] 3.812745e-05 4.343543e-05 5.603971e-05 6.951963e-05 7.166622e-05 #>  [3425,] 1.370310e-05 1.230008e-05 1.206797e-05 1.454813e-05 1.504266e-05 #>  [3426,] 1.495461e-05 1.597684e-05 1.784261e-05 1.816410e-05 1.851955e-05 #>  [3427,] 2.756845e-05 3.493779e-05 3.905806e-05 3.385805e-05 3.184996e-05 #>  [3428,] 1.552154e-05 1.315763e-05 1.390382e-05 1.675546e-05 1.641490e-05 #>  [3429,] 1.961079e-05 1.947956e-05 2.200820e-05 2.859306e-05 2.939053e-05 #>  [3430,] 7.510980e-05 7.596142e-05 5.141985e-05 4.851135e-05 6.417976e-05 #>  [3431,] 1.285799e-05 1.374269e-05 1.654511e-05 1.599744e-05 1.582288e-05 #>  [3432,] 8.757107e-05 1.110564e-04 1.982853e-04 3.098993e-04 4.449176e-04 #>  [3433,] 1.167272e-05 1.046527e-05 1.099446e-05 1.177868e-05 1.044614e-05 #>  [3434,] 2.759629e-05 3.467698e-05 6.211789e-05 5.381322e-05 4.412182e-05 #>  [3435,] 3.631604e-05 3.626980e-05 3.160903e-05 3.593937e-05 3.470828e-05 #>  [3436,] 1.328826e-05 1.246289e-05 1.242932e-05 1.411689e-05 1.359342e-05 #>  [3437,] 3.888781e-04 2.309841e-04 2.527162e-04 3.804953e-04 3.027393e-04 #>  [3438,] 1.286384e-05 1.234812e-05 1.342108e-05 1.529890e-05 1.427001e-05 #>  [3439,] 4.419895e-05 2.040788e-05 2.801251e-05 3.213743e-05 3.978892e-05 #>  [3440,] 1.616839e-05 1.564418e-05 1.807048e-05 2.021579e-05 2.113190e-05 #>  [3441,] 3.167452e-05 2.544063e-05 3.137971e-05 4.171199e-05 3.219513e-05 #>  [3442,] 2.511982e-05 4.182943e-05 5.089795e-05 6.128941e-05 1.114040e-04 #>  [3443,] 1.619515e-05 1.669139e-05 1.827891e-05 1.921735e-05 1.971474e-05 #>  [3444,] 1.263707e-05 1.349573e-05 1.423665e-05 1.925692e-05 1.798531e-05 #>  [3445,] 1.509147e-05 1.687407e-05 2.249329e-05 1.624722e-05 1.649061e-05 #>  [3446,] 1.267362e-05 1.262552e-05 1.432665e-05 1.472888e-05 1.588704e-05 #>  [3447,] 1.525350e-05 1.576685e-05 1.882611e-05 1.868738e-05 1.888753e-05 #>  [3448,] 1.618341e-04 1.122100e-04 4.947138e-05 6.512622e-05 4.159302e-05 #>  [3449,] 1.409737e-05 1.435682e-05 1.654893e-05 1.677071e-05 1.659257e-05 #>  [3450,] 1.554457e-05 1.784671e-05 1.702939e-05 1.950084e-05 1.901448e-05 #>  [3451,] 1.005272e-03 9.055345e-04 4.497088e-04 5.726242e-04 3.903209e-04 #>  [3452,] 1.416651e-05 1.392897e-05 1.254961e-05 1.374344e-05 1.345176e-05 #>  [3453,] 1.471774e-05 1.845475e-05 6.659212e-05 2.346816e-05 1.499676e-05 #>  [3454,] 1.707183e-05 1.395869e-05 1.878175e-05 2.004545e-05 3.002454e-05 #>  [3455,] 2.065110e-05 1.975377e-05 3.255786e-05 2.574036e-05 2.260135e-05 #>  [3456,] 1.410672e-05 1.386145e-05 1.570945e-05 1.794050e-05 1.825113e-05 #>  [3457,] 1.070913e-04 9.731881e-05 5.439009e-05 6.986959e-05 1.222508e-04 #>  [3458,] 1.494983e-05 1.684272e-05 1.743272e-05 1.685824e-05 1.638343e-05 #>  [3459,] 1.329634e-05 1.350562e-05 1.352945e-05 1.450165e-05 1.395248e-05 #>  [3460,] 1.498809e-05 1.631087e-05 1.556012e-05 1.750458e-05 1.817557e-05 #>  [3461,] 1.305010e-05 1.185113e-05 1.226410e-05 1.270480e-05 1.250882e-05 #>  [3462,] 2.055841e-05 1.440250e-05 1.354893e-05 1.430150e-05 1.313358e-05 #>  [3463,] 1.250624e-05 1.463057e-05 1.684836e-05 1.435859e-05 1.517498e-05 #>  [3464,] 1.325680e-05 1.284244e-05 1.237939e-05 1.499296e-05 1.489485e-05 #>  [3465,] 1.374579e-05 1.449722e-05 1.354114e-05 1.435961e-05 1.370770e-05 #>  [3466,] 7.188870e-05 7.314652e-05 6.463700e-05 5.814262e-05 5.786018e-05 #>  [3467,] 2.066787e-05 2.031728e-05 4.546644e-05 5.301614e-05 5.567762e-05 #>  [3468,] 1.285215e-05 1.417175e-05 1.561103e-05 1.850057e-05 2.862488e-05 #>  [3469,] 6.101208e-05 6.530804e-05 6.932188e-05 9.889346e-05 1.189999e-04 #>  [3470,] 1.431100e-05 1.413592e-05 2.066559e-05 1.957500e-05 2.105708e-05 #>  [3471,] 1.368843e-05 1.561758e-05 1.917011e-05 1.594088e-05 1.553682e-05 #>  [3472,] 2.209974e-05 2.353953e-05 1.667806e-05 1.708031e-05 1.797508e-05 #>  [3473,] 1.533199e-05 1.355151e-05 1.520765e-05 1.574527e-05 1.479248e-05 #>  [3474,] 4.816823e-05 2.637089e-05 1.991855e-05 1.891477e-05 2.117726e-05 #>  [3475,] 1.259836e-05 1.295651e-05 1.394207e-05 1.443573e-05 1.520458e-05 #>  [3476,] 1.307482e-04 1.032778e-04 2.202689e-04 2.115443e-04 1.260665e-04 #>  [3477,] 2.355849e-05 2.947656e-05 4.624090e-05 6.729599e-05 1.155424e-04 #>  [3478,] 2.343102e-05 1.744833e-05 2.078972e-05 2.229867e-05 2.194455e-05 #>  [3479,] 2.113184e-04 1.520943e-04 2.870962e-05 2.717786e-05 1.690952e-05 #>  [3480,] 1.790027e-05 1.778803e-05 1.771242e-05 1.837220e-05 1.883919e-05 #>  [3481,] 1.347845e-05 1.330921e-05 1.345967e-05 1.538273e-05 1.484267e-05 #>  [3482,] 1.262280e-05 1.412229e-05 1.492775e-05 1.473967e-05 1.505448e-05 #>  [3483,] 1.370011e-05 1.231231e-05 1.418931e-05 1.691851e-05 1.557026e-05 #>  [3484,] 1.582217e-05 1.466090e-05 1.515202e-05 1.534163e-05 1.755487e-05 #>  [3485,] 1.376357e-05 1.479106e-05 1.580035e-05 1.629362e-05 1.737383e-05 #>  [3486,] 4.616324e-05 4.024327e-05 3.020309e-05 3.288353e-05 4.435348e-05 #>  [3487,] 1.210140e-05 1.222186e-05 1.180522e-05 1.260380e-05 1.237226e-05 #>  [3488,] 2.076812e-05 1.664124e-05 1.917427e-05 1.974166e-05 2.177856e-05 #>  [3489,] 2.378551e-05 2.464012e-05 3.340827e-05 3.952217e-05 5.144485e-05 #>  [3490,] 2.669774e-05 5.093898e-05 6.469333e-05 5.201630e-05 3.738516e-05 #>  [3491,] 1.860795e-05 1.776413e-05 2.158644e-05 1.946058e-05 1.910782e-05 #>  [3492,] 1.170713e-05 1.086957e-05 1.241199e-05 1.290856e-05 1.207725e-05 #>  [3493,] 4.978144e-05 3.780526e-05 2.081982e-05 1.822474e-05 1.496739e-05 #>  [3494,] 1.186982e-05 1.050042e-05 1.188969e-05 1.237051e-05 1.135239e-05 #>  [3495,] 2.854417e-05 5.309341e-05 1.168318e-04 1.083394e-04 1.312979e-04 #>  [3496,] 1.223904e-05 1.142211e-05 1.367256e-05 1.491258e-05 1.521117e-05 #>  [3497,] 1.450332e-05 1.405667e-05 1.358597e-05 1.363821e-05 1.307211e-05 #>  [3498,] 1.261216e-04 6.499276e-05 7.471547e-05 7.223512e-05 5.069850e-05 #>  [3499,] 1.387630e-05 1.499904e-05 1.500460e-05 1.621494e-05 1.477778e-05 #>  [3500,] 5.139138e-05 5.453955e-05 5.114612e-05 5.444730e-05 4.070619e-05 #>  [3501,] 1.761986e-05 1.705782e-05 2.850568e-05 2.440500e-05 3.802428e-05 #>  [3502,] 1.217884e-05 1.366737e-05 1.424783e-05 1.510415e-05 1.354266e-05 #>  [3503,] 1.171266e-04 8.510683e-05 1.030021e-04 1.224953e-04 1.484638e-04 #>  [3504,] 4.488516e-04 2.729899e-04 2.294038e-04 2.412207e-04 2.125496e-04 #>  [3505,] 1.711424e-05 1.665531e-05 2.000130e-05 2.123526e-05 2.277964e-05 #>  [3506,] 6.807872e-05 7.587517e-05 4.151294e-05 3.282000e-05 5.786378e-05 #>  [3507,] 1.200860e-05 1.319096e-05 1.413776e-05 1.393290e-05 1.484394e-05 #>  [3508,] 1.662892e-05 1.506878e-05 1.770102e-05 1.872414e-05 1.505574e-05 #>  [3509,] 1.809206e-05 2.120958e-05 1.939486e-05 2.086776e-05 2.380822e-05 #>  [3510,] 1.323814e-05 1.266957e-05 1.526352e-05 1.404890e-05 1.417093e-05 #>  [3511,] 1.360548e-05 1.436859e-05 1.618685e-05 1.339107e-05 1.646765e-05 #>  [3512,] 3.631333e-05 3.242348e-05 2.660685e-05 2.689244e-05 2.370434e-05 #>  [3513,] 1.136408e-05 1.138292e-05 1.141566e-05 1.100785e-05 1.121065e-05 #>  [3514,] 2.780895e-05 2.875609e-05 3.713015e-05 4.226477e-05 3.975427e-05 #>  [3515,] 1.378064e-05 1.292911e-05 1.420121e-05 1.678073e-05 2.029339e-05 #>  [3516,] 3.893751e-05 3.470658e-05 4.430095e-05 4.358716e-05 3.157075e-05 #>  [3517,] 1.301295e-05 1.348376e-05 1.503313e-05 1.413797e-05 1.359990e-05 #>  [3518,] 3.223292e-05 4.051083e-05 4.319072e-05 2.539933e-05 2.560134e-05 #>  [3519,] 1.627854e-05 1.571074e-05 1.609295e-05 1.680186e-05 1.804653e-05 #>  [3520,] 1.371034e-05 1.230087e-05 1.224544e-05 1.350587e-05 1.333780e-05 #>  [3521,] 1.430742e-05 1.382807e-05 1.451212e-05 1.558481e-05 1.414171e-05 #>  [3522,] 1.193833e-04 1.591395e-04 1.643565e-04 1.330708e-04 1.439388e-04 #>  [3523,] 4.535552e-04 2.780567e-04 2.119615e-04 1.968169e-04 2.329884e-04 #>  [3524,] 1.419241e-05 1.372933e-05 1.400102e-05 1.473977e-05 1.339342e-05 #>  [3525,] 1.317506e-05 1.285142e-05 1.454743e-05 1.524320e-05 1.709554e-05 #>  [3526,] 1.300597e-05 1.362747e-05 1.501826e-05 1.491902e-05 1.525802e-05 #>  [3527,] 1.310999e-05 1.209650e-05 1.333617e-05 1.316906e-05 1.271090e-05 #>  [3528,] 3.871814e-05 2.192988e-05 2.223981e-05 2.033381e-05 1.829291e-05 #>  [3529,] 1.492874e-05 1.732551e-05 1.823432e-05 1.832428e-05 1.883854e-05 #>  [3530,] 4.984121e-05 5.200614e-05 8.884602e-05 1.426493e-04 2.177244e-04 #>  [3531,] 1.390741e-05 1.220321e-05 1.514828e-05 1.652102e-05 1.740014e-05 #>  [3532,] 1.868121e-05 2.004554e-05 1.830859e-05 1.977869e-05 2.306181e-05 #>  [3533,] 4.335954e-05 5.228603e-05 7.671639e-05 8.047658e-05 6.051572e-05 #>  [3534,] 1.210687e-05 1.323803e-05 1.446090e-05 1.437558e-05 1.505311e-05 #>  [3535,] 1.157333e-05 1.212335e-05 1.235035e-05 1.120875e-05 1.122845e-05 #>  [3536,] 3.269328e-05 6.606213e-05 5.266434e-05 3.687092e-05 3.780965e-05 #>  [3537,] 1.366606e-05 1.336081e-05 1.406010e-05 1.593237e-05 1.609241e-05 #>  [3538,] 1.605996e-05 1.451211e-05 1.640099e-05 1.878944e-05 1.729683e-05 #>  [3539,] 1.420873e-05 1.505900e-05 1.448184e-05 1.449744e-05 1.471554e-05 #>  [3540,] 1.375428e-05 1.522149e-05 1.481022e-05 1.431967e-05 1.474325e-05 #>  [3541,] 4.961267e-05 3.585040e-05 3.878745e-05 2.750579e-05 3.279680e-05 #>  [3542,] 1.133101e-05 1.171377e-05 1.229555e-05 1.185479e-05 1.249776e-05 #>  [3543,] 2.323905e-05 1.845924e-05 2.044599e-05 1.965389e-05 1.998346e-05 #>  [3544,] 1.396935e-05 1.400065e-05 1.598701e-05 1.477755e-05 1.472987e-05 #>  [3545,] 1.534672e-05 1.512306e-05 1.441056e-05 1.661647e-05 1.549373e-05 #>  [3546,] 1.416346e-05 1.721619e-05 2.204300e-05 1.749389e-05 1.744582e-05 #>  [3547,] 1.688450e-05 1.611584e-05 1.588722e-05 1.603235e-05 1.596904e-05 #>  [3548,] 1.243728e-05 1.188144e-05 1.549386e-05 1.639678e-05 1.498518e-05 #>  [3549,] 1.850458e-05 1.588497e-05 1.988532e-05 2.197552e-05 1.833377e-05 #>  [3550,] 1.080208e-03 9.793001e-04 8.764948e-04 6.204749e-04 3.946072e-04 #>  [3551,] 2.006440e-04 2.820517e-04 3.401314e-04 2.070769e-04 2.277613e-04 #>  [3552,] 1.822796e-05 1.695797e-05 1.516205e-05 1.522573e-05 1.512177e-05 #>  [3553,] 3.200798e-05 3.743070e-05 3.609216e-05 2.949726e-05 2.295312e-05 #>  [3554,] 1.524332e-05 1.633845e-05 1.722033e-05 1.749068e-05 1.741332e-05 #>  [3555,] 1.231513e-05 1.320620e-05 1.336136e-05 1.271454e-05 1.317371e-05 #>  [3556,] 1.383499e-05 1.279741e-05 1.358899e-05 1.455148e-05 1.402464e-05 #>  [3557,] 1.311158e-05 1.247157e-05 1.434675e-05 1.510697e-05 1.465070e-05 #>  [3558,] 1.254062e-05 1.623547e-05 2.034415e-05 1.633672e-05 2.003559e-05 #>  [3559,] 1.397942e-05 1.326872e-05 1.299292e-05 1.532541e-05 1.620016e-05 #>  [3560,] 1.370535e-05 1.290337e-05 1.406781e-05 1.565807e-05 1.600278e-05 #>  [3561,] 1.217379e-05 1.150250e-05 1.379936e-05 1.490517e-05 1.515839e-05 #>  [3562,] 1.348651e-05 1.209689e-05 1.262633e-05 1.430096e-05 1.266291e-05 #>  [3563,] 1.163552e-05 1.201720e-05 1.332196e-05 1.384756e-05 1.314945e-05 #>  [3564,] 3.580799e-05 4.611049e-05 2.792810e-05 3.143290e-05 3.003185e-05 #>  [3565,] 1.333088e-05 1.358863e-05 1.546152e-05 1.532676e-05 1.572298e-05 #>  [3566,] 6.488385e-05 8.675295e-05 1.633289e-04 1.377644e-04 1.477971e-04 #>  [3567,] 1.286751e-05 1.364140e-05 1.608531e-05 1.590390e-05 1.700241e-05 #>  [3568,] 5.147217e-05 3.100604e-05 3.854405e-05 5.844390e-05 3.803805e-05 #>  [3569,] 2.551231e-05 2.229422e-05 5.869916e-05 5.131293e-05 5.514528e-05 #>  [3570,] 1.334013e-05 1.220473e-05 1.432353e-05 1.601110e-05 1.508128e-05 #>  [3571,] 1.484101e-05 1.631548e-05 2.365085e-05 2.849648e-05 4.074663e-05 #>  [3572,] 1.889846e-05 2.109519e-05 2.591464e-05 2.390278e-05 2.014072e-05 #>  [3573,] 1.666081e-05 1.434193e-05 1.707014e-05 1.773225e-05 1.727864e-05 #>  [3574,] 1.374060e-05 1.271005e-05 1.385125e-05 1.435579e-05 1.442922e-05 #>  [3575,] 1.362351e-05 1.217111e-05 1.244154e-05 1.386902e-05 1.446749e-05 #>  [3576,] 3.988797e-04 6.645433e-04 8.636731e-04 9.571758e-04 9.910196e-04 #>  [3577,] 3.882119e-05 4.691432e-05 7.400870e-05 8.585179e-05 6.752596e-05 #>  [3578,] 2.343070e-05 2.320807e-05 1.590296e-05 1.554044e-05 1.850252e-05 #>  [3579,] 1.235014e-05 1.254280e-05 1.265271e-05 1.305060e-05 1.310210e-05 #>  [3580,] 1.583374e-05 1.700588e-05 2.428783e-05 2.776568e-05 2.932155e-05 #>  [3581,] 1.928180e-05 1.907494e-05 1.854587e-05 1.921685e-05 1.786299e-05 #>  [3582,] 1.722042e-05 1.756138e-05 1.846304e-05 1.881133e-05 1.920648e-05 #>  [3583,] 1.457016e-05 1.336350e-05 1.232073e-05 1.275926e-05 1.334981e-05 #>  [3584,] 1.148513e-05 1.129020e-05 1.272306e-05 1.235696e-05 1.300679e-05 #>  [3585,] 1.323156e-05 1.347422e-05 1.461710e-05 1.626597e-05 1.529271e-05 #>  [3586,] 2.104954e-05 1.637734e-05 1.478619e-05 1.497548e-05 1.780992e-05 #>  [3587,] 4.939722e-05 5.162115e-05 6.113656e-05 6.659808e-05 1.612424e-04 #>  [3588,] 1.465206e-05 1.546459e-05 1.745085e-05 1.787949e-05 1.657929e-05 #>  [3589,] 1.500303e-05 1.364814e-05 1.467425e-05 1.586214e-05 1.495995e-05 #>  [3590,] 1.295689e-05 1.270472e-05 1.408588e-05 1.509008e-05 1.386928e-05 #>  [3591,] 1.549222e-05 1.337144e-05 1.432005e-05 1.390161e-05 1.280713e-05 #>  [3592,] 3.104355e-05 3.465252e-05 6.014503e-05 5.611247e-05 6.024393e-05 #>  [3593,] 5.564214e-05 1.273129e-04 2.167722e-04 2.446095e-04 3.795787e-04 #>  [3594,] 1.174262e-05 1.106030e-05 1.168253e-05 1.318906e-05 1.343630e-05 #>  [3595,] 2.389129e-05 2.229922e-05 3.154114e-05 3.122276e-05 3.500123e-05 #>  [3596,] 1.411818e-05 1.355249e-05 1.479477e-05 1.392373e-05 1.437956e-05 #>  [3597,] 1.318169e-04 8.251602e-05 2.518864e-05 2.800174e-05 3.017412e-05 #>  [3598,] 1.436956e-05 1.520341e-05 1.669040e-05 1.727537e-05 1.599400e-05 #>  [3599,] 5.597023e-04 7.610132e-04 4.926314e-04 5.224420e-04 6.750588e-04 #>  [3600,] 1.282318e-05 1.192081e-05 1.330265e-05 1.561053e-05 1.618642e-05 #>  [3601,] 3.221089e-05 1.785961e-05 1.621310e-05 1.897439e-05 1.700010e-05 #>  [3602,] 1.522624e-05 1.742371e-05 1.589347e-05 1.802982e-05 2.658747e-05 #>  [3603,] 1.337586e-05 1.415861e-05 1.682412e-05 1.808416e-05 1.963357e-05 #>  [3604,] 1.487412e-05 1.483697e-05 1.366566e-05 1.434040e-05 1.433471e-05 #>  [3605,] 2.049215e-04 2.170474e-04 5.427319e-04 6.646810e-04 3.393648e-04 #>  [3606,] 1.410681e-05 1.231379e-05 1.325904e-05 1.300217e-05 1.268624e-05 #>  [3607,] 1.174921e-05 1.172042e-05 1.171626e-05 1.242454e-05 1.208373e-05 #>  [3608,] 7.607564e-05 5.478000e-05 3.176681e-05 3.526553e-05 3.737168e-05 #>  [3609,] 4.235615e-04 2.473489e-04 1.339107e-04 1.469903e-04 3.963064e-04 #>  [3610,] 1.355441e-05 1.514385e-05 1.645687e-05 1.904295e-05 3.981723e-05 #>  [3611,] 1.462442e-05 1.655483e-05 1.989334e-05 1.762072e-05 1.696732e-05 #>  [3612,] 1.567739e-05 2.096459e-05 6.110581e-05 4.935540e-05 4.629311e-05 #>  [3613,] 2.021311e-05 2.028291e-05 1.669734e-05 1.675811e-05 1.532857e-05 #>  [3614,] 1.634160e-05 1.666326e-05 1.526019e-05 1.595859e-05 1.458707e-05 #>  [3615,] 4.164656e-05 4.586044e-05 6.640940e-05 5.215158e-05 4.008169e-05 #>  [3616,] 1.680561e-05 1.410046e-05 1.626473e-05 1.571129e-05 1.558174e-05 #>  [3617,] 1.383862e-05 1.352913e-05 1.481407e-05 1.534044e-05 1.431513e-05 #>  [3618,] 1.494605e-05 1.638141e-05 1.660781e-05 1.625245e-05 1.448970e-05 #>  [3619,] 5.548837e-05 2.978042e-05 3.441658e-05 4.806107e-05 3.701317e-05 #>  [3620,] 1.060689e-05 1.172401e-05 1.494128e-05 1.182531e-05 1.267511e-05 #>  [3621,] 2.572450e-05 5.418926e-05 2.182107e-05 9.480168e-05 2.860494e-04 #>  [3622,] 1.155121e-05 1.127502e-05 1.235339e-05 1.428159e-05 1.423466e-05 #>  [3623,] 1.485363e-05 1.374475e-05 1.665229e-05 1.482312e-05 1.691863e-05 #>  [3624,] 2.001802e-05 2.041747e-05 2.343381e-05 2.314116e-05 2.187898e-05 #>  [3625,] 1.201083e-05 1.474272e-05 1.765069e-05 1.356869e-05 1.374913e-05 #>  [3626,] 2.829990e-05 2.870949e-05 2.200232e-05 2.447161e-05 2.979020e-05 #>  [3627,] 1.315575e-05 1.482027e-05 1.659388e-05 1.619458e-05 1.625217e-05 #>  [3628,] 1.547514e-05 1.711503e-05 2.157941e-05 1.894429e-05 1.731225e-05 #>  [3629,] 2.003370e-05 2.802997e-05 3.574843e-05 3.305804e-05 2.960962e-05 #>  [3630,] 1.193486e-05 1.101156e-05 1.211122e-05 1.290434e-05 1.260605e-05 #>  [3631,] 1.746991e-05 1.778457e-05 1.647880e-05 1.886929e-05 2.047422e-05 #>  [3632,] 1.232150e-05 1.212455e-05 1.509015e-05 1.506642e-05 1.600372e-05 #>  [3633,] 1.305830e-05 1.361000e-05 1.476726e-05 1.465623e-05 1.503519e-05 #>  [3634,] 1.581325e-05 1.636539e-05 3.138593e-05 3.268729e-05 5.481792e-05 #>  [3635,] 1.377375e-04 1.180060e-04 1.513069e-04 1.667116e-04 1.705272e-04 #>  [3636,] 3.632316e-05 2.778517e-05 3.914178e-05 3.749741e-05 2.643508e-05 #>  [3637,] 3.032375e-05 3.545411e-05 3.850405e-05 4.267132e-05 4.812590e-05 #>  [3638,] 2.416055e-05 2.637537e-05 3.379428e-05 7.698204e-05 1.290853e-04 #>  [3639,] 1.464371e-05 1.596836e-05 1.764626e-05 1.518813e-05 1.496062e-05 #>  [3640,] 1.249912e-05 1.186151e-05 1.292359e-05 1.419819e-05 1.573390e-05 #>  [3641,] 1.332682e-05 1.367226e-05 1.539899e-05 1.558694e-05 1.856813e-05 #>  [3642,] 1.257154e-05 1.309000e-05 1.395261e-05 1.348742e-05 1.403000e-05 #>  [3643,] 1.354791e-05 1.439959e-05 1.797827e-05 1.503043e-05 1.500206e-05 #>  [3644,] 1.673695e-05 1.845144e-05 1.542859e-05 1.715439e-05 1.800605e-05 #>  [3645,] 1.272438e-05 1.254310e-05 1.336614e-05 1.593355e-05 1.492278e-05 #>  [3646,] 1.441497e-05 1.796080e-05 2.067920e-05 1.637289e-05 1.693646e-05 #>  [3647,] 1.152124e-05 1.342978e-05 1.175485e-05 1.194982e-05 1.173139e-05 #>  [3648,] 1.601810e-05 1.581183e-05 1.626609e-05 1.784723e-05 1.848348e-05 #>  [3649,] 3.891941e-05 4.201842e-05 7.485325e-05 9.390642e-05 9.240187e-05 #>  [3650,] 6.731111e-05 4.881303e-05 9.632211e-05 1.016991e-04 1.313127e-04 #>  [3651,] 2.628150e-04 2.134431e-04 7.782621e-05 5.770877e-05 6.222474e-05 #>  [3652,] 1.594813e-05 1.591967e-05 1.905969e-05 2.208692e-05 2.049906e-05 #>  [3653,] 1.286642e-05 1.391604e-05 1.580450e-05 1.702361e-05 1.771029e-05 #>  [3654,] 2.215345e-04 2.207929e-04 2.615678e-04 2.152105e-04 2.256301e-04 #>  [3655,] 1.822946e-05 2.016997e-05 2.954318e-05 3.411063e-05 2.912287e-05 #>  [3656,] 1.385110e-05 1.768006e-05 2.488811e-05 1.589381e-05 1.647187e-05 #>  [3657,] 4.174067e-05 2.874596e-05 3.829995e-05 4.076956e-05 3.826810e-05 #>  [3658,] 5.157970e-05 4.618720e-05 6.000626e-05 8.511959e-05 7.668849e-05 #>  [3659,] 1.597539e-05 1.508202e-05 1.711418e-05 1.631199e-05 1.564642e-05 #>  [3660,] 1.465114e-05 1.409207e-05 1.420217e-05 1.576698e-05 1.619829e-05 #>  [3661,] 1.499327e-05 1.468321e-05 1.468000e-05 1.611869e-05 1.624299e-05 #>  [3662,] 1.546804e-05 1.452929e-05 1.826046e-05 1.933533e-05 1.537141e-05 #>  [3663,] 1.508757e-05 1.429032e-05 1.831873e-05 1.721188e-05 1.608803e-05 #>  [3664,] 1.197243e-05 1.248383e-05 1.411081e-05 1.335209e-05 1.636201e-05 #>  [3665,] 1.241455e-05 1.259332e-05 1.524553e-05 1.533523e-05 1.513732e-05 #>  [3666,] 1.358770e-05 1.290690e-05 1.669599e-05 1.727312e-05 1.752246e-05 #>  [3667,] 1.253688e-05 1.278080e-05 1.484433e-05 1.564057e-05 1.679076e-05 #>  [3668,] 8.347534e-05 6.634308e-05 1.097890e-04 7.824760e-05 8.636090e-05 #>  [3669,] 1.354425e-05 1.370330e-05 1.819096e-05 2.136805e-05 1.905221e-05 #>  [3670,] 1.481767e-05 1.432949e-05 1.516552e-05 1.577731e-05 1.547191e-05 #>  [3671,] 1.379568e-05 1.536127e-05 1.862240e-05 1.741162e-05 3.575909e-05 #>  [3672,] 1.619778e-05 1.691801e-05 1.747823e-05 1.588773e-05 1.564113e-05 #>  [3673,] 1.161704e-05 1.113523e-05 1.166145e-05 1.173397e-05 1.166994e-05 #>  [3674,] 3.843890e-05 5.672273e-05 8.461482e-05 6.617277e-05 5.502876e-05 #>  [3675,] 1.182695e-05 1.143938e-05 1.188064e-05 1.194766e-05 1.109976e-05 #>  [3676,] 1.770465e-05 1.872338e-05 2.066966e-05 2.440534e-05 2.833756e-05 #>  [3677,] 6.911374e-04 8.599401e-04 6.404078e-04 4.556476e-04 2.104520e-04 #>  [3678,] 1.347446e-05 1.548757e-05 3.664708e-05 2.007334e-05 1.747407e-05 #>  [3679,] 1.305819e-05 1.432124e-05 2.116754e-05 1.845254e-05 1.671763e-05 #>  [3680,] 1.306448e-05 1.670106e-05 1.856915e-05 1.504126e-05 1.524315e-05 #>  [3681,] 4.651572e-05 4.785796e-05 6.268347e-05 4.854999e-05 4.894436e-05 #>  [3682,] 1.160370e-04 1.603596e-04 2.438525e-04 1.603735e-04 1.583571e-04 #>  [3683,] 2.335252e-05 2.075067e-05 1.573068e-05 1.709229e-05 2.095458e-05 #>  [3684,] 4.199785e-05 5.430103e-05 4.504165e-05 5.446179e-05 6.450428e-05 #>  [3685,] 1.136657e-05 1.342069e-05 1.533835e-05 1.454328e-05 1.612175e-05 #>  [3686,] 1.278522e-05 1.240616e-05 1.306954e-05 1.469518e-05 1.425133e-05 #>  [3687,] 1.247558e-05 1.139297e-05 1.162512e-05 1.296436e-05 1.332083e-05 #>  [3688,] 1.610036e-05 1.620639e-05 1.521047e-05 1.578248e-05 1.655911e-05 #>  [3689,] 2.447907e-05 2.777364e-05 1.446479e-05 1.385993e-05 1.384163e-05 #>  [3690,] 1.343718e-05 1.269340e-05 1.277401e-05 1.443063e-05 1.412166e-05 #>  [3691,] 1.408209e-05 1.403537e-05 1.641557e-05 2.313070e-05 2.276744e-05 #>  [3692,] 1.768990e-05 1.405113e-05 1.525145e-05 1.563007e-05 1.516998e-05 #>  [3693,] 1.352653e-05 1.315577e-05 1.529584e-05 1.736897e-05 1.969704e-05 #>  [3694,] 1.638914e-05 1.549313e-05 1.499184e-05 1.596038e-05 1.741810e-05 #>  [3695,] 1.249238e-05 1.362938e-05 1.563252e-05 1.548776e-05 1.519650e-05 #>  [3696,] 1.343952e-05 1.296667e-05 1.230616e-05 1.300815e-05 1.366012e-05 #>  [3697,] 7.646858e-05 6.191700e-05 9.502307e-05 6.531004e-05 4.838176e-05 #>  [3698,] 1.400702e-05 1.315769e-05 1.260764e-05 1.394255e-05 1.386226e-05 #>  [3699,] 1.336816e-05 1.365162e-05 1.502904e-05 1.465543e-05 1.443177e-05 #>  [3700,] 1.155496e-05 1.255176e-05 1.653953e-05 1.561356e-05 1.313797e-05 #>  [3701,] 1.306706e-05 1.398799e-05 1.599227e-05 1.851085e-05 2.000608e-05 #>  [3702,] 1.200657e-05 1.192740e-05 1.537735e-05 1.523397e-05 1.635420e-05 #>  [3703,] 1.215126e-05 1.189485e-05 1.113581e-05 1.231772e-05 1.214784e-05 #>  [3704,] 2.051600e-05 2.162027e-05 3.492122e-05 3.848794e-05 3.750878e-05 #>  [3705,] 2.084545e-05 2.058504e-05 2.258990e-05 2.403972e-05 2.741806e-05 #>  [3706,] 1.299492e-05 1.439267e-05 1.327704e-05 1.376772e-05 1.399444e-05 #>  [3707,] 5.059102e-05 5.741836e-05 2.273422e-05 1.913383e-05 1.611857e-05 #>  [3708,] 1.311364e-05 1.251047e-05 1.228015e-05 1.353226e-05 1.492341e-05 #>  [3709,] 1.334255e-05 1.339355e-05 1.322953e-05 1.551728e-05 1.584789e-05 #>  [3710,] 1.638435e-05 1.508904e-05 1.782098e-05 1.825525e-05 1.653468e-05 #>  [3711,] 4.428271e-05 1.953355e-05 2.555304e-05 3.204469e-05 2.962805e-05 #>  [3712,] 1.204032e-05 1.291501e-05 1.538275e-05 1.540939e-05 1.494677e-05 #>  [3713,] 2.868913e-05 2.276565e-05 2.672131e-05 3.070499e-05 3.551933e-05 #>  [3714,] 1.455913e-05 1.445836e-05 1.486670e-05 1.685337e-05 1.629743e-05 #>  [3715,] 2.369820e-05 1.650965e-05 1.982282e-05 1.888539e-05 1.762177e-05 #>  [3716,] 2.380221e-05 2.792787e-05 2.119952e-05 2.450517e-05 2.141080e-05 #>  [3717,] 1.285257e-05 1.229261e-05 1.195506e-05 1.455568e-05 1.462660e-05 #>  [3718,] 2.015094e-05 1.453581e-05 1.519723e-05 1.592831e-05 1.601195e-05 #>  [3719,] 1.572912e-05 1.414460e-05 1.256816e-05 1.262375e-05 1.253752e-05 #>  [3720,] 1.299122e-05 1.296151e-05 1.255962e-05 1.365132e-05 1.266720e-05 #>  [3721,] 1.593023e-05 1.577477e-05 1.752171e-05 1.765574e-05 1.633672e-05 #>  [3722,] 1.432209e-05 1.484805e-05 1.708813e-05 1.731529e-05 1.658280e-05 #>  [3723,] 1.547991e-05 1.818766e-05 1.927739e-05 1.759195e-05 2.210042e-05 #>  [3724,] 1.934220e-05 2.282646e-05 2.345402e-05 2.719599e-05 2.526785e-05 #>  [3725,] 1.570320e-05 1.548384e-05 1.880767e-05 1.829561e-05 1.943343e-05 #>  [3726,] 1.377572e-05 1.540364e-05 1.797833e-05 1.598333e-05 1.567275e-05 #>  [3727,] 1.175003e-05 1.143417e-05 1.199163e-05 1.122876e-05 1.244901e-05 #>  [3728,] 1.371834e-05 1.423856e-05 1.895923e-05 1.974007e-05 1.744988e-05 #>  [3729,] 2.200539e-05 2.087408e-05 3.933922e-05 3.758357e-05 3.514712e-05 #>  [3730,] 2.062537e-05 1.841479e-05 2.001711e-05 2.503359e-05 2.053583e-05 #>  [3731,] 2.038798e-05 2.138019e-05 2.075153e-05 2.180215e-05 1.887637e-05 #>  [3732,] 1.441239e-05 1.407359e-05 1.503974e-05 1.463948e-05 1.507340e-05 #>  [3733,] 1.762169e-05 1.919655e-05 1.767573e-05 1.862765e-05 1.680397e-05 #>  [3734,] 5.085098e-05 2.762251e-05 4.711381e-05 6.617456e-05 4.779563e-05 #>  [3735,] 4.688116e-05 3.485005e-05 2.906529e-05 2.856086e-05 3.041919e-05 #>  [3736,] 1.386458e-05 1.409979e-05 1.540230e-05 1.480313e-05 1.439189e-05 #>  [3737,] 1.323812e-05 1.368638e-05 1.696151e-05 1.759032e-05 1.601144e-05 #>  [3738,] 1.339378e-05 1.664571e-05 2.074064e-05 1.795361e-05 1.733147e-05 #>  [3739,] 1.272600e-05 1.237744e-05 1.280055e-05 1.368461e-05 1.340916e-05 #>  [3740,] 1.143706e-05 1.115108e-05 1.125875e-05 1.195826e-05 1.155229e-05 #>  [3741,] 2.192213e-05 1.412803e-05 1.662359e-05 1.620441e-05 1.626884e-05 #>  [3742,] 1.196170e-05 1.219299e-05 1.393400e-05 1.264907e-05 1.515851e-05 #>  [3743,] 1.584231e-05 1.619515e-05 1.366789e-05 1.431036e-05 1.449716e-05 #>  [3744,] 1.289422e-04 1.562518e-04 2.549239e-04 1.893513e-04 2.471784e-04 #>  [3745,] 7.556499e-05 7.558884e-05 1.918634e-04 1.867283e-04 1.348410e-04 #>  [3746,] 1.481116e-05 1.415300e-05 1.368139e-05 1.436060e-05 1.353492e-05 #>  [3747,] 1.269028e-05 1.216274e-05 1.225403e-05 1.372464e-05 1.419014e-05 #>  [3748,] 4.960504e-05 3.628556e-05 2.116914e-05 2.281803e-05 2.451620e-05 #>  [3749,] 1.330193e-05 1.272599e-05 1.266390e-05 1.285825e-05 1.278687e-05 #>  [3750,] 1.472898e-05 1.139111e-05 1.253041e-05 1.369327e-05 1.178101e-05 #>  [3751,] 1.460125e-05 1.381300e-05 1.262833e-05 1.307990e-05 1.258226e-05 #>  [3752,] 1.481828e-05 1.622664e-05 1.411389e-05 1.512395e-05 1.685073e-05 #>  [3753,] 9.401490e-05 1.128511e-04 1.916327e-04 1.268640e-04 8.089505e-05 #>  [3754,] 1.100855e-05 9.937340e-06 1.101816e-05 1.131297e-05 1.046034e-05 #>  [3755,] 1.312304e-05 1.350673e-05 1.972258e-05 1.914838e-05 1.915137e-05 #>  [3756,] 1.415071e-05 1.155225e-05 1.092280e-05 1.200267e-05 1.106837e-05 #>  [3757,] 1.301837e-05 1.464968e-05 1.483227e-05 1.481072e-05 1.491095e-05 #>  [3758,] 5.515039e-04 7.281689e-04 3.102570e-04 4.175869e-04 3.662872e-04 #>  [3759,] 1.389204e-05 1.492415e-05 1.694847e-05 1.796400e-05 1.591202e-05 #>  [3760,] 4.003592e-05 4.516067e-05 5.116308e-05 5.147004e-05 4.752327e-05 #>  [3761,] 1.281425e-05 1.442259e-05 1.457092e-05 1.461383e-05 1.468148e-05 #>  [3762,] 1.139847e-05 1.174492e-05 1.161829e-05 1.177189e-05 1.143204e-05 #>  [3763,] 1.222572e-05 1.139699e-05 1.162002e-05 1.245223e-05 1.212471e-05 #>  [3764,] 1.329740e-05 1.249994e-05 1.385165e-05 1.482826e-05 1.610704e-05 #>  [3765,] 4.399451e-05 5.003885e-05 6.177404e-05 7.031796e-05 4.306732e-05 #>  [3766,] 1.579750e-05 1.518772e-05 1.391100e-05 1.391742e-05 1.382497e-05 #>  [3767,] 3.228519e-05 2.864402e-05 2.403552e-05 2.737987e-05 2.537477e-05 #>  [3768,] 1.373628e-05 1.346338e-05 1.528375e-05 1.702324e-05 1.524513e-05 #>  [3769,] 1.204919e-05 1.292958e-05 1.387638e-05 1.343310e-05 1.336529e-05 #>  [3770,] 1.474155e-05 1.458094e-05 1.602471e-05 1.671283e-05 1.880864e-05 #>  [3771,] 3.679438e-05 1.898105e-05 2.149343e-05 2.229248e-05 4.222799e-05 #>  [3772,] 1.258340e-05 1.253146e-05 1.489557e-05 1.388782e-05 1.423448e-05 #>  [3773,] 1.409232e-05 1.709303e-05 2.072314e-05 1.874562e-05 2.184950e-05 #>  [3774,] 1.328619e-05 1.250691e-05 1.447715e-05 1.635319e-05 1.914832e-05 #>  [3775,] 1.337198e-05 1.368076e-05 1.765855e-05 1.643758e-05 1.478606e-05 #>  [3776,] 1.441965e-05 1.800318e-05 2.597780e-05 1.838859e-05 1.804655e-05 #>  [3777,] 1.638321e-05 1.323777e-05 1.932437e-05 1.630089e-05 1.129075e-05 #>  [3778,] 1.795769e-05 1.608538e-05 1.788673e-05 1.549236e-05 1.433297e-05 #>  [3779,] 4.889660e-05 7.322906e-05 2.030241e-04 1.782603e-04 1.185090e-04 #>  [3780,] 1.434986e-05 1.420561e-05 1.829564e-05 1.490205e-05 1.500546e-05 #>  [3781,] 1.132187e-05 1.085423e-05 1.147363e-05 1.193713e-05 1.143359e-05 #>  [3782,] 1.300184e-05 1.203567e-05 1.284656e-05 1.267116e-05 1.262399e-05 #>  [3783,] 2.271524e-04 1.125473e-04 1.747731e-04 2.073588e-04 1.336663e-04 #>  [3784,] 4.332621e-05 1.414094e-05 1.612524e-05 1.545683e-05 1.442035e-05 #>  [3785,] 1.931062e-05 1.748211e-05 2.091998e-05 2.270431e-05 2.198331e-05 #>  [3786,] 1.308192e-05 1.587195e-05 1.681136e-05 1.485849e-05 1.657865e-05 #>  [3787,] 2.082055e-05 2.612777e-05 3.131705e-05 2.068840e-05 2.543670e-05 #>  [3788,] 1.395853e-05 1.420640e-05 1.447559e-05 1.653181e-05 1.871737e-05 #>  [3789,] 7.953493e-05 8.354560e-05 1.066114e-04 9.702370e-05 8.655713e-05 #>  [3790,] 2.506241e-05 2.532722e-05 2.930666e-05 3.796906e-05 3.436207e-05 #>  [3791,] 3.557835e-05 3.746848e-05 7.767900e-05 9.483391e-05 7.736667e-05 #>  [3792,] 1.884624e-05 1.668483e-05 2.116352e-05 2.203730e-05 2.242908e-05 #>  [3793,] 3.691245e-05 2.365805e-05 3.733220e-05 3.098070e-05 2.690477e-05 #>  [3794,] 1.519925e-05 1.914702e-05 1.518079e-05 1.380199e-05 1.853915e-05 #>  [3795,] 1.236809e-05 1.095116e-05 1.195128e-05 1.289894e-05 1.202513e-05 #>  [3796,] 1.792110e-05 1.819735e-05 3.177532e-05 3.954895e-05 4.870347e-05 #>  [3797,] 2.103880e-04 2.328756e-04 2.566704e-04 1.887201e-04 1.708921e-04 #>  [3798,] 1.208293e-05 1.156119e-05 1.112555e-05 1.223947e-05 1.202576e-05 #>  [3799,] 1.573142e-05 1.593140e-05 1.648590e-05 1.782336e-05 1.740757e-05 #>  [3800,] 4.482671e-05 5.265841e-05 1.384885e-04 1.995479e-04 2.331727e-04 #>  [3801,] 1.738847e-05 1.601358e-05 1.652049e-05 1.909873e-05 2.369918e-05 #>  [3802,] 1.035497e-03 9.038721e-04 1.197912e-03 1.088242e-03 9.546853e-04 #>  [3803,] 2.156158e-05 3.802496e-05 2.096362e-05 2.095938e-05 3.402412e-05 #>  [3804,] 3.435001e-05 2.881483e-05 3.509842e-05 3.659238e-05 4.486155e-05 #>  [3805,] 1.277462e-05 1.258007e-05 1.414278e-05 1.488494e-05 1.486381e-05 #>  [3806,] 1.319293e-05 1.456720e-05 1.830316e-05 1.772641e-05 1.772951e-05 #>  [3807,] 1.225097e-04 1.218512e-04 1.920164e-04 1.522902e-04 9.816408e-05 #>  [3808,] 1.387421e-05 1.313287e-05 1.347044e-05 1.434406e-05 1.435904e-05 #>  [3809,] 3.741950e-05 3.249173e-05 6.267918e-05 6.312745e-05 6.033846e-05 #>  [3810,] 4.233120e-05 2.495879e-05 3.315765e-05 3.376420e-05 3.310198e-05 #>  [3811,] 1.209553e-05 1.327039e-05 1.292638e-05 1.314134e-05 1.619294e-05 #>  [3812,] 2.667658e-05 3.488874e-05 4.075448e-05 3.371302e-05 3.696771e-05 #>  [3813,] 1.513722e-05 1.639885e-05 3.815226e-05 5.450107e-05 7.025062e-05 #>  [3814,] 1.692000e-05 1.647463e-05 1.536197e-05 1.731976e-05 1.688761e-05 #>  [3815,] 2.897858e-05 1.637630e-05 1.375904e-05 1.294627e-05 1.224725e-05 #>  [3816,] 5.206907e-05 3.960540e-05 1.851345e-05 1.695393e-05 1.610302e-05 #>  [3817,] 1.652748e-05 1.416134e-05 1.390962e-05 1.635149e-05 1.659281e-05 #>  [3818,] 1.375472e-05 1.546329e-05 1.849676e-05 1.757203e-05 1.986938e-05 #>  [3819,] 1.283506e-05 1.317080e-05 1.441953e-05 1.363983e-05 1.330333e-05 #>  [3820,] 1.670072e-05 1.829824e-05 1.637468e-05 1.806967e-05 1.850431e-05 #>  [3821,] 2.647363e-05 2.932331e-05 2.526774e-05 2.223935e-05 2.205577e-05 #>  [3822,] 7.497887e-05 8.260104e-05 2.547347e-04 3.394537e-04 2.289329e-04 #>  [3823,] 1.539678e-05 1.590901e-05 1.626531e-05 1.699946e-05 1.784678e-05 #>  [3824,] 1.373165e-05 1.278489e-05 1.281255e-05 1.408799e-05 1.353834e-05 #>  [3825,] 1.277413e-05 1.201346e-05 1.324622e-05 1.362311e-05 1.236348e-05 #>  [3826,] 5.715286e-05 3.356297e-05 2.007795e-05 1.874525e-05 1.252549e-05 #>  [3827,] 1.706846e-05 1.739133e-05 1.451322e-05 1.586207e-05 1.442043e-05 #>  [3828,] 1.525218e-05 1.431897e-05 1.546618e-05 1.732308e-05 1.708422e-05 #>  [3829,] 1.289581e-05 1.305396e-05 1.279931e-05 1.344974e-05 1.282483e-05 #>  [3830,] 1.612136e-05 1.603746e-05 1.574098e-05 1.771761e-05 1.850860e-05 #>  [3831,] 2.397954e-05 3.177975e-05 2.757668e-05 2.700967e-05 2.638648e-05 #>  [3832,] 1.330320e-05 1.281178e-05 1.475040e-05 1.584584e-05 1.512414e-05 #>  [3833,] 1.305323e-05 1.404165e-05 1.519929e-05 1.552873e-05 1.644841e-05 #>  [3834,] 5.962818e-05 8.400724e-05 2.000037e-05 1.865415e-05 1.678181e-05 #>  [3835,] 1.480936e-05 1.315949e-05 1.600977e-05 1.677114e-05 1.469439e-05 #>  [3836,] 6.541502e-04 4.698806e-04 3.878604e-04 3.418795e-04 2.050579e-04 #>  [3837,] 1.544243e-05 1.470272e-05 1.415099e-05 1.501275e-05 1.388369e-05 #>  [3838,] 2.136700e-05 2.389630e-05 3.779879e-05 3.545858e-05 2.530938e-05 #>  [3839,] 1.321003e-05 1.210310e-05 1.173671e-05 1.212035e-05 1.245869e-05 #>  [3840,] 5.274743e-05 4.308230e-05 1.641588e-05 1.996311e-05 1.931724e-05 #>  [3841,] 1.285073e-05 1.343145e-05 1.530619e-05 1.621499e-05 1.560529e-05 #>  [3842,] 3.506537e-05 2.555694e-05 2.813891e-05 3.643876e-05 2.856642e-05 #>  [3843,] 1.201100e-05 1.165897e-05 1.139449e-05 1.264580e-05 1.192753e-05 #>  [3844,] 1.959873e-05 1.975351e-05 1.656094e-05 1.607996e-05 1.632845e-05 #>  [3845,] 1.262366e-05 1.242512e-05 1.277524e-05 1.249794e-05 1.349378e-05 #>  [3846,] 1.436721e-05 1.471580e-05 1.870257e-05 2.059603e-05 2.073902e-05 #>  [3847,] 1.111723e-04 6.125787e-05 9.165412e-05 1.046698e-04 8.441322e-05 #>  [3848,] 1.675594e-05 2.407404e-05 2.559187e-05 2.117918e-05 1.290600e-05 #>  [3849,] 1.715263e-05 1.712320e-05 1.510254e-05 1.420976e-05 1.339156e-05 #>  [3850,] 2.211872e-05 2.231588e-05 2.410497e-05 3.145618e-05 2.872453e-05 #>  [3851,] 9.385373e-05 7.565828e-05 1.139081e-04 1.147540e-04 1.686538e-04 #>  [3852,] 2.482166e-05 2.064939e-05 1.984099e-05 2.265299e-05 1.942641e-05 #>  [3853,] 1.483183e-05 1.495482e-05 1.400185e-05 1.499844e-05 1.311154e-05 #>  [3854,] 1.631203e-05 1.759378e-05 2.589525e-05 2.667353e-05 2.418886e-05 #>  [3855,] 1.568208e-05 1.508579e-05 1.650801e-05 1.600352e-05 1.480827e-05 #>  [3856,] 1.306228e-05 1.308523e-05 1.340008e-05 1.482880e-05 1.434886e-05 #>  [3857,] 1.521230e-05 1.476362e-05 1.399592e-05 1.412856e-05 1.338912e-05 #>  [3858,] 4.577719e-05 4.527414e-05 4.733675e-05 4.598556e-05 2.461786e-05 #>  [3859,] 2.913509e-04 1.826837e-04 1.080922e-04 1.677131e-04 8.906306e-05 #>  [3860,] 1.877552e-05 1.678118e-05 2.789762e-05 2.577064e-05 2.268086e-05 #>  [3861,] 1.495910e-05 1.605827e-05 2.034145e-05 1.916767e-05 1.775679e-05 #>  [3862,] 1.320673e-05 1.502923e-05 2.422954e-05 2.061941e-05 2.339980e-05 #>  [3863,] 6.551528e-05 9.700588e-05 1.481243e-04 1.202479e-04 1.838264e-04 #>  [3864,] 1.812768e-05 2.048532e-05 1.909056e-05 2.075849e-05 2.102385e-05 #>  [3865,] 1.415824e-05 1.606556e-05 3.801535e-05 3.058217e-05 3.312395e-05 #>  [3866,] 3.901495e-04 5.913257e-04 6.110064e-04 6.068003e-04 4.808892e-04 #>  [3867,] 1.259291e-05 1.102778e-05 1.229552e-05 1.454595e-05 1.402715e-05 #>  [3868,] 2.356253e-05 2.471964e-05 3.628542e-05 3.754799e-05 5.755474e-05 #>  [3869,] 1.405121e-05 1.319317e-05 1.338724e-05 1.579048e-05 1.527823e-05 #>  [3870,] 1.313294e-05 1.260904e-05 2.158413e-05 2.291619e-05 2.008137e-05 #>  [3871,] 1.239031e-05 1.221789e-05 1.305640e-05 1.367498e-05 1.340646e-05 #>  [3872,] 4.815537e-05 4.838531e-05 8.536219e-05 1.153783e-04 1.256755e-04 #>  [3873,] 1.271564e-05 1.153939e-05 1.249154e-05 1.187860e-05 1.135983e-05 #>  [3874,] 1.625793e-05 1.377247e-05 1.807610e-05 1.745299e-05 2.050031e-05 #>  [3875,] 1.348591e-05 1.703884e-05 2.213974e-05 1.573399e-05 1.706408e-05 #>  [3876,] 1.443094e-04 1.079367e-04 2.533908e-04 2.306463e-04 2.279785e-04 #>  [3877,] 1.610529e-05 1.816552e-05 1.893547e-05 1.747176e-05 2.032727e-05 #>  [3878,] 4.911498e-05 6.127690e-05 1.288270e-04 1.575858e-04 1.637743e-04 #>  [3879,] 2.072795e-05 2.227351e-05 3.266160e-05 2.282373e-05 2.379272e-05 #>  [3880,] 1.253653e-04 1.231039e-04 1.668027e-04 1.314272e-04 1.740853e-04 #>  [3881,] 8.496227e-05 1.058655e-04 2.477516e-04 9.092943e-05 8.137812e-05 #>  [3882,] 4.370697e-05 4.613297e-05 3.687547e-05 5.193678e-05 8.903152e-05 #>  [3883,] 1.666586e-05 1.858404e-05 2.070591e-05 2.188336e-05 2.245133e-05 #>  [3884,] 6.600497e-05 8.989275e-05 2.248321e-04 1.986873e-04 2.919911e-04 #>  [3885,] 1.704589e-05 1.731790e-05 2.002488e-05 2.284764e-05 2.663053e-05 #>  [3886,] 1.374555e-05 1.310404e-05 1.532311e-05 1.808673e-05 1.992495e-05 #>  [3887,] 3.442017e-05 1.968811e-05 3.672917e-05 3.682230e-05 4.685675e-05 #>  [3888,] 1.793155e-05 1.969071e-05 1.920916e-05 1.987781e-05 2.071303e-05 #>  [3889,] 3.129045e-05 3.514817e-05 5.363624e-05 6.299971e-05 1.192635e-04 #>  [3890,] 1.317277e-05 1.242963e-05 1.343563e-05 1.329210e-05 1.283620e-05 #>  [3891,] 2.043829e-05 1.894490e-05 1.732323e-05 1.731126e-05 1.715885e-05 #>  [3892,] 6.524238e-05 5.413697e-05 3.976505e-05 3.773716e-05 3.650134e-05 #>  [3893,] 5.442997e-05 4.675356e-05 3.090621e-05 3.322528e-05 2.464194e-05 #>  [3894,] 1.693508e-05 1.665097e-05 1.778941e-05 1.783575e-05 1.567399e-05 #>  [3895,] 1.412557e-05 1.862922e-05 1.771525e-05 1.518190e-05 2.147555e-05 #>  [3896,] 1.215629e-05 1.152335e-05 1.238233e-05 1.265475e-05 1.420435e-05 #>  [3897,] 2.192141e-05 3.420792e-05 3.095750e-05 2.861139e-05 2.013633e-05 #>  [3898,] 4.860108e-05 6.575166e-05 4.799241e-05 4.140942e-05 2.734255e-05 #>  [3899,] 1.596529e-05 1.491979e-05 1.617141e-05 1.764049e-05 1.580733e-05 #>  [3900,] 1.448136e-05 1.626799e-05 2.047549e-05 2.073480e-05 1.977455e-05 #>  [3901,] 6.331647e-05 5.594291e-05 4.584710e-05 6.462719e-05 5.127870e-05 #>  [3902,] 1.944762e-05 2.176281e-05 5.126703e-05 4.808470e-05 3.185600e-05 #>  [3903,] 1.987652e-05 2.431457e-05 2.868838e-05 2.597631e-05 2.587954e-05 #>  [3904,] 5.149057e-05 7.370869e-05 2.633820e-05 1.912943e-05 2.039169e-05 #>  [3905,] 3.056537e-05 3.848893e-05 4.195944e-05 4.697011e-05 6.802546e-05 #>  [3906,] 1.564957e-05 1.667043e-05 1.723803e-05 1.668249e-05 1.687495e-05 #>  [3907,] 1.510689e-05 1.684324e-05 1.821785e-05 1.893562e-05 2.724640e-05 #>  [3908,] 1.279488e-05 1.414489e-05 1.415821e-05 1.613829e-05 1.795489e-05 #>  [3909,] 1.341285e-05 1.410638e-05 1.495246e-05 1.608691e-05 1.694238e-05 #>  [3910,] 2.348761e-05 2.747525e-05 5.013606e-05 3.411154e-05 3.282861e-05 #>  [3911,] 4.964146e-05 4.932702e-05 4.177988e-05 3.866145e-05 2.711375e-05 #>  [3912,] 1.093424e-04 3.554136e-05 7.246819e-05 8.995904e-05 6.396030e-05 #>  [3913,] 1.682038e-05 1.585506e-05 2.197768e-05 2.471982e-05 2.799324e-05 #>  [3914,] 2.007639e-05 2.873500e-05 2.028605e-05 1.910392e-05 1.916951e-05 #>  [3915,] 1.765605e-05 1.738440e-05 1.570061e-05 1.750267e-05 1.804129e-05 #>  [3916,] 1.601310e-05 1.610613e-05 1.717364e-05 1.930792e-05 1.841429e-05 #>  [3917,] 1.114641e-05 1.081888e-05 1.123962e-05 1.139608e-05 1.071965e-05 #>  [3918,] 1.349545e-05 1.401675e-05 1.560176e-05 1.541316e-05 1.564327e-05 #>  [3919,] 1.226261e-05 1.152974e-05 1.159160e-05 1.154660e-05 1.208983e-05 #>  [3920,] 1.346831e-05 1.307796e-05 1.489554e-05 1.524330e-05 1.484400e-05 #>  [3921,] 1.679723e-05 1.952229e-05 2.457288e-05 1.680117e-05 1.687315e-05 #>  [3922,] 1.271582e-05 1.340192e-05 1.226962e-05 1.317598e-05 1.338838e-05 #>  [3923,] 1.394547e-05 1.579825e-05 1.634567e-05 1.724820e-05 1.860883e-05 #>  [3924,] 1.525441e-05 1.421451e-05 1.888908e-05 1.834531e-05 1.784441e-05 #>  [3925,] 1.347207e-05 1.801807e-05 2.150746e-05 1.797868e-05 2.042907e-05 #>  [3926,] 2.211161e-05 2.915387e-05 3.377877e-05 3.183036e-05 2.587351e-05 #>  [3927,] 1.546563e-05 1.472384e-05 1.716855e-05 1.849512e-05 1.799517e-05 #>  [3928,] 1.403388e-05 1.272002e-05 1.405210e-05 1.496457e-05 1.446843e-05 #>  [3929,] 1.477852e-05 1.533171e-05 1.740218e-05 1.558925e-05 1.565975e-05 #>  [3930,] 1.318566e-05 1.459843e-05 1.602876e-05 1.687533e-05 1.586134e-05 #>  [3931,] 1.334710e-05 1.482449e-05 1.414272e-05 1.308275e-05 1.366131e-05 #>  [3932,] 1.739967e-05 1.732954e-05 1.409998e-05 1.411138e-05 1.270649e-05 #>  [3933,] 1.137273e-04 1.481425e-04 2.035857e-04 1.560681e-04 1.253626e-04 #>  [3934,] 2.983538e-05 1.811114e-05 2.504850e-05 2.286167e-05 2.019533e-05 #>  [3935,] 1.601203e-05 1.688421e-05 1.827183e-05 1.610475e-05 2.172687e-05 #>  [3936,] 1.311498e-05 1.340619e-05 1.312168e-05 1.441368e-05 1.570321e-05 #>  [3937,] 1.431866e-05 2.086836e-05 1.451638e-05 1.474225e-05 1.377875e-05 #>  [3938,] 1.847618e-05 1.890684e-05 1.755284e-05 1.986923e-05 2.015871e-05 #>  [3939,] 1.265584e-04 1.460379e-04 2.767897e-04 1.742303e-04 8.856178e-05 #>  [3940,] 1.661031e-05 1.873393e-05 4.952116e-05 5.779772e-05 5.510289e-05 #>  [3941,] 1.322487e-05 1.320255e-05 1.372491e-05 1.571393e-05 1.837894e-05 #>  [3942,] 1.552342e-05 1.537059e-05 1.526767e-05 1.615146e-05 1.638817e-05 #>  [3943,] 1.597757e-05 1.492388e-05 1.971426e-05 1.742675e-05 1.617586e-05 #>  [3944,] 1.404727e-05 1.705238e-05 2.005539e-05 2.237421e-05 2.269203e-05 #>  [3945,] 1.538011e-05 1.590253e-05 1.710031e-05 1.661270e-05 1.574085e-05 #>  [3946,] 1.037495e-03 1.051618e-03 1.060459e-03 8.876663e-04 1.057478e-03 #>  [3947,] 2.376623e-05 2.215877e-05 1.996418e-05 2.056831e-05 1.776268e-05 #>  [3948,] 1.548047e-05 1.498003e-05 1.586822e-05 1.834246e-05 1.810059e-05 #>  [3949,] 1.601244e-05 1.475282e-05 1.609059e-05 1.658187e-05 1.576284e-05 #>  [3950,] 1.150752e-03 1.067060e-03 9.277539e-04 9.936975e-04 9.261002e-04 #>  [3951,] 3.629701e-05 4.850496e-05 5.972809e-05 5.405673e-05 3.416536e-05 #>  [3952,] 2.142897e-05 2.010290e-05 1.823711e-05 1.709274e-05 1.581510e-05 #>  [3953,] 1.043742e-04 5.927909e-05 1.372188e-05 1.583121e-05 1.964143e-05 #>  [3954,] 1.174434e-05 1.080303e-05 1.132550e-05 1.140202e-05 1.131149e-05 #>  [3955,] 1.381644e-05 1.604673e-05 1.677794e-05 1.723340e-05 1.854642e-05 #>  [3956,] 1.676686e-05 1.718778e-05 1.601470e-05 1.769711e-05 1.722056e-05 #>  [3957,] 2.072224e-05 1.785878e-05 1.804010e-05 2.037983e-05 2.167328e-05 #>  [3958,] 1.080673e-03 9.821677e-04 1.058068e-03 9.425673e-04 1.000212e-03 #>  [3959,] 1.329869e-05 1.401208e-05 1.384125e-05 1.525157e-05 1.507531e-05 #>  [3960,] 1.505449e-05 1.791428e-05 2.377788e-05 2.078819e-05 1.876637e-05 #>  [3961,] 1.128089e-05 1.054416e-05 1.195573e-05 1.382999e-05 1.288554e-05 #>  [3962,] 1.547244e-05 1.457583e-05 1.608425e-05 1.782292e-05 1.636833e-05 #>  [3963,] 4.575228e-05 4.240801e-05 2.066932e-05 2.505160e-05 3.083701e-05 #>  [3964,] 1.738887e-05 1.719785e-05 2.634749e-05 2.495329e-05 2.318378e-05 #>  [3965,] 1.529944e-05 1.176845e-05 1.266130e-05 1.294198e-05 1.440982e-05 #>  [3966,] 1.596705e-05 1.442750e-05 2.109690e-05 2.356390e-05 1.992688e-05 #>  [3967,] 1.305999e-05 1.514429e-05 2.403169e-05 2.004697e-05 2.121706e-05 #>  [3968,] 1.610439e-05 1.811556e-05 2.153317e-05 1.943713e-05 2.086879e-05 #>  [3969,] 1.304800e-05 1.194430e-05 1.249132e-05 1.358475e-05 1.367396e-05 #>  [3970,] 9.086021e-05 1.176861e-04 1.306490e-04 1.180667e-04 1.140353e-04 #>  [3971,] 1.754991e-05 1.755085e-05 2.037618e-05 2.314153e-05 3.848954e-05 #>  [3972,] 1.576972e-05 1.503007e-05 1.570190e-05 1.701599e-05 1.619093e-05 #>  [3973,] 1.594232e-04 4.868616e-04 1.111425e-03 1.033673e-03 1.003009e-03 #>  [3974,] 1.500696e-05 1.393440e-05 1.424282e-05 1.610377e-05 1.481719e-05 #>  [3975,] 1.754890e-05 1.985365e-05 1.618260e-05 1.496809e-05 1.548555e-05 #>  [3976,] 1.493491e-04 1.504154e-04 1.112821e-04 9.460762e-05 8.744664e-05 #>  [3977,] 2.157581e-05 2.339389e-05 2.492634e-05 2.528205e-05 2.340185e-05 #>  [3978,] 1.156243e-05 1.232107e-05 1.409013e-05 1.393456e-05 1.389260e-05 #>  [3979,] 6.147205e-05 8.775166e-05 1.152383e-04 1.436210e-04 1.510778e-04 #>  [3980,] 2.757983e-05 3.486642e-05 5.701035e-05 5.317512e-05 8.371566e-05 #>  [3981,] 1.502065e-05 1.574129e-05 1.948710e-05 1.789009e-05 1.681895e-05 #>  [3982,] 3.639541e-05 4.734846e-05 1.647040e-04 1.545687e-04 8.866252e-05 #>  [3983,] 2.759695e-05 2.373229e-05 2.222295e-05 2.210131e-05 2.200875e-05 #>  [3984,] 1.485692e-05 1.446581e-05 1.423038e-05 1.403634e-05 2.082346e-05 #>  [3985,] 2.524694e-04 1.530078e-04 7.324030e-05 1.174879e-04 1.474116e-04 #>  [3986,] 1.544104e-05 1.637647e-05 1.432850e-05 1.464259e-05 1.481542e-05 #>  [3987,] 4.838725e-05 1.821155e-05 1.583931e-05 1.765449e-05 4.365115e-05 #>  [3988,] 1.741862e-04 1.775187e-04 2.915409e-04 3.349688e-04 2.972785e-04 #>  [3989,] 1.676179e-05 1.767676e-05 1.809192e-05 1.697358e-05 1.949449e-05 #>  [3990,] 1.575545e-05 1.498871e-05 1.570197e-05 1.453428e-05 1.652434e-05 #>  [3991,] 2.005476e-05 2.069461e-05 1.368979e-05 1.816631e-05 1.491077e-05 #>  [3992,] 1.681893e-05 1.863567e-05 2.101489e-05 2.322509e-05 2.487828e-05 #>  [3993,] 1.412588e-05 1.493652e-05 1.701907e-05 1.748370e-05 1.640074e-05 #>  [3994,] 1.529229e-05 1.607607e-05 1.822188e-05 1.998793e-05 1.792579e-05 #>  [3995,] 1.122885e-05 1.232320e-05 1.194103e-05 1.147972e-05 1.217905e-05 #>  [3996,] 2.158882e-05 2.733472e-05 2.234916e-05 2.364347e-05 2.339966e-05 #>  [3997,] 1.285720e-05 1.333720e-05 1.649177e-05 1.527255e-05 1.568854e-05 #>  [3998,] 9.112812e-05 7.767122e-05 4.760485e-05 5.030863e-05 3.577057e-05 #>  [3999,] 4.425347e-05 4.472024e-05 4.130606e-05 4.494719e-05 4.775290e-05 #>  [4000,] 1.619865e-05 1.477744e-05 1.998508e-05 2.144183e-05 1.789669e-05 #>  [4001,] 1.411592e-05 1.312910e-05 1.476408e-05 1.525115e-05 1.549803e-05 #>  [4002,] 1.791991e-05 2.061215e-05 5.664185e-05 5.742826e-05 7.844588e-05 #>  [4003,] 2.112933e-05 1.547477e-05 2.743389e-05 1.749640e-05 1.537562e-05 #>  [4004,] 1.759411e-05 2.705651e-05 2.149354e-05 2.265698e-05 2.308511e-05 #>  [4005,] 1.131565e-05 1.215321e-05 1.260719e-05 1.280280e-05 1.514099e-05 #>  [4006,] 1.456268e-05 1.483257e-05 1.586552e-05 1.510064e-05 1.556953e-05 #>  [4007,] 3.114643e-05 2.889593e-05 2.314541e-05 2.403160e-05 2.658795e-05 #>  [4008,] 1.309630e-05 1.451136e-05 1.663655e-05 1.469472e-05 1.507585e-05 #>  [4009,] 1.556898e-05 1.581786e-05 1.507568e-05 1.484010e-05 1.404677e-05 #>  [4010,] 1.323333e-05 1.376227e-05 1.585869e-05 1.484596e-05 1.548012e-05 #>  [4011,] 1.270813e-05 1.123915e-05 1.351264e-05 1.484183e-05 1.446838e-05 #>  [4012,] 1.260444e-05 1.237661e-05 1.422721e-05 1.457925e-05 1.481035e-05 #>  [4013,] 1.272467e-05 1.305311e-05 1.160398e-05 1.232518e-05 1.207998e-05 #>  [4014,] 1.025057e-03 7.616769e-04 1.203283e-04 6.345629e-05 8.623509e-05 #>  [4015,] 2.183383e-04 1.205231e-04 1.007465e-04 1.483906e-04 2.417238e-04 #>  [4016,] 1.429869e-05 1.306956e-05 1.692763e-05 1.874809e-05 1.963310e-05 #>  [4017,] 1.719853e-05 1.797584e-05 2.926787e-05 2.158711e-05 1.667170e-05 #>  [4018,] 1.286791e-05 1.368767e-05 1.483082e-05 1.479439e-05 1.678299e-05 #>  [4019,] 1.458757e-05 1.530628e-05 1.911155e-05 1.556218e-05 1.584079e-05 #>  [4020,] 1.308880e-05 1.378712e-05 1.423498e-05 1.569025e-05 1.635994e-05 #>  [4021,] 1.261650e-05 1.310353e-05 1.473407e-05 1.500767e-05 1.529417e-05 #>  [4022,] 1.495202e-05 1.400374e-05 1.679825e-05 1.615584e-05 1.577485e-05 #>  [4023,] 3.373088e-05 4.399015e-05 5.087156e-05 4.792805e-05 4.228520e-05 #>  [4024,] 2.113409e-05 2.562127e-05 5.645145e-05 4.470054e-05 3.653785e-05 #>  [4025,] 6.821926e-05 5.366425e-05 6.740323e-05 6.746675e-05 8.262511e-05 #>  [4026,] 1.149992e-05 1.181420e-05 1.183867e-05 1.171011e-05 1.059085e-05 #>  [4027,] 1.930753e-05 1.939798e-05 1.929424e-05 2.081768e-05 2.087647e-05 #>  [4028,] 3.902334e-05 4.441882e-05 5.052892e-05 6.846587e-05 9.431100e-05 #>  [4029,] 1.317290e-05 1.340985e-05 1.306099e-05 1.328568e-05 1.325842e-05 #>  [4030,] 5.089021e-05 6.186457e-05 5.644661e-05 5.811864e-05 5.480101e-05 #>  [4031,] 1.387425e-05 1.427866e-05 1.458368e-05 1.458594e-05 1.435349e-05 #>  [4032,] 1.316818e-05 1.308194e-05 1.560353e-05 1.532945e-05 1.627777e-05 #>  [4033,] 4.626109e-05 2.778787e-05 3.438822e-05 3.124502e-05 3.125631e-05 #>  [4034,] 1.249050e-05 1.394056e-05 1.243012e-05 1.196966e-05 1.167440e-05 #>  [4035,] 8.093661e-05 7.919093e-05 9.980994e-05 1.030455e-04 5.212399e-05 #>  [4036,] 1.553204e-05 1.437004e-05 1.506441e-05 1.617710e-05 2.185821e-05 #>  [4037,] 2.518816e-05 2.336507e-05 3.502857e-05 5.006146e-05 4.171520e-05 #>  [4038,] 1.254737e-05 1.283246e-05 1.447374e-05 1.574443e-05 1.739714e-05 #>  [4039,] 1.773588e-04 5.798972e-05 4.801380e-05 4.631174e-05 3.029392e-05 #>  [4040,] 1.285202e-05 1.661853e-05 2.631422e-05 2.440364e-05 3.252386e-05 #>  [4041,] 1.524449e-05 1.858601e-05 1.742902e-05 1.799491e-05 1.749456e-05 #>  [4042,] 2.391226e-05 2.019508e-05 2.819623e-05 3.400163e-05 3.147937e-05 #>  [4043,] 1.146678e-05 1.148479e-05 1.128575e-05 1.060940e-05 1.113621e-05 #>  [4044,] 5.279280e-05 7.198580e-05 5.305312e-05 4.310554e-05 5.315474e-05 #>  [4045,] 2.124937e-05 2.329119e-05 2.250961e-05 2.520574e-05 2.853936e-05 #>  [4046,] 2.368542e-05 1.769890e-05 2.197853e-05 2.739443e-05 2.770153e-05 #>  [4047,] 1.240466e-05 1.241351e-05 1.174318e-05 1.188625e-05 1.221918e-05 #>  [4048,] 1.241422e-05 1.214849e-05 1.284852e-05 1.484595e-05 1.402946e-05 #>  [4049,] 1.432134e-05 1.443999e-05 1.865855e-05 1.856655e-05 2.178835e-05 #>  [4050,] 3.067205e-05 2.541603e-05 3.871772e-05 2.665606e-05 2.252707e-05 #>  [4051,] 1.385570e-05 1.390209e-05 1.334287e-05 1.398356e-05 1.399443e-05 #>  [4052,] 1.418879e-05 1.313670e-05 1.418081e-05 1.466844e-05 1.524223e-05 #>  [4053,] 2.897605e-05 2.364204e-05 3.919772e-05 5.445653e-05 4.748835e-05 #>  [4054,] 1.426299e-05 1.365534e-05 1.337625e-05 1.553629e-05 1.556517e-05 #>  [4055,] 1.136548e-05 1.104472e-05 1.135473e-05 1.151746e-05 1.103367e-05 #>  [4056,] 1.295823e-05 1.261987e-05 1.289722e-05 1.395116e-05 1.315174e-05 #>  [4057,] 6.173102e-05 4.518895e-05 3.565376e-05 4.076113e-05 4.635387e-05 #>  [4058,] 1.979596e-04 2.513834e-04 2.921921e-04 2.396586e-04 2.101400e-04 #>  [4059,] 1.292510e-05 1.468484e-05 1.215060e-05 1.409536e-05 1.402536e-05 #>  [4060,] 1.693427e-05 1.759853e-05 1.851032e-05 2.218067e-05 2.194265e-05 #>  [4061,] 2.793111e-05 2.705924e-05 2.918263e-05 2.929816e-05 2.558021e-05 #>  [4062,] 1.462481e-05 2.022781e-05 2.074390e-05 1.887311e-05 2.240759e-05 #>  [4063,] 1.835813e-05 2.181776e-05 4.158925e-05 5.793259e-05 8.086863e-05 #>  [4064,] 1.511432e-05 1.633234e-05 2.505423e-05 2.430204e-05 4.749021e-05 #>  [4065,] 1.536169e-04 1.302234e-04 1.750322e-04 2.185256e-04 1.943206e-04 #>  [4066,] 1.259611e-05 1.297004e-05 1.416993e-05 1.576117e-05 1.489832e-05 #>  [4067,] 1.307339e-05 1.442858e-05 1.715687e-05 1.628007e-05 1.522433e-05 #>  [4068,] 1.325712e-05 1.325922e-05 1.498037e-05 1.518657e-05 1.651777e-05 #>  [4069,] 7.920861e-05 6.013361e-05 3.777482e-05 4.215249e-05 4.069694e-05 #>  [4070,] 1.871754e-05 2.343042e-05 2.029271e-05 1.880442e-05 1.868497e-05 #>  [4071,] 1.380922e-05 1.248330e-05 1.258174e-05 1.498757e-05 1.518925e-05 #>  [4072,] 1.049866e-04 2.985787e-04 2.149494e-04 1.858624e-04 1.259755e-04 #>  [4073,] 1.259423e-05 1.092151e-05 1.145839e-05 1.208750e-05 1.181644e-05 #>  [4074,] 1.567419e-05 1.569126e-05 1.733806e-05 1.969757e-05 2.301680e-05 #>  [4075,] 1.808169e-04 1.917872e-04 2.422775e-04 1.783769e-04 1.921073e-04 #>  [4076,] 1.527021e-05 1.838050e-05 2.260416e-05 1.855137e-05 1.804320e-05 #>  [4077,] 1.371509e-05 1.220982e-05 1.329616e-05 1.533351e-05 1.598254e-05 #>  [4078,] 1.299126e-05 1.210775e-05 1.177333e-05 1.448187e-05 1.444036e-05 #>  [4079,] 1.287112e-05 1.500748e-05 1.682414e-05 1.547261e-05 1.505445e-05 #>  [4080,] 1.301990e-05 1.288979e-05 2.123275e-05 1.758725e-05 1.959006e-05 #>  [4081,] 1.351827e-05 1.374995e-05 1.431696e-05 1.556980e-05 1.550557e-05 #>  [4082,] 1.364630e-05 1.255794e-05 1.252477e-05 1.346981e-05 1.296580e-05 #>  [4083,] 1.658488e-05 1.779434e-05 1.751265e-05 1.781734e-05 1.768446e-05 #>  [4084,] 1.074833e-04 1.829506e-04 2.609877e-04 1.486097e-04 1.030086e-04 #>  [4085,] 1.677426e-05 1.853967e-05 1.787703e-05 1.930870e-05 1.821364e-05 #>  [4086,] 1.808057e-05 1.945906e-05 2.275046e-05 2.156118e-05 2.130756e-05 #>  [4087,] 1.396823e-04 5.722667e-05 2.381324e-04 4.520485e-05 1.448510e-05 #>  [4088,] 1.240467e-05 1.207570e-05 1.232125e-05 1.271883e-05 1.242068e-05 #>  [4089,] 1.634051e-05 1.458527e-05 1.417765e-05 1.603324e-05 1.444357e-05 #>  [4090,] 1.931659e-05 1.464559e-05 3.234563e-05 3.092810e-05 1.570844e-05 #>  [4091,] 3.438737e-05 3.393470e-05 4.631404e-05 5.225121e-05 5.062752e-05 #>  [4092,] 1.658675e-05 1.674770e-05 1.670809e-05 1.623619e-05 1.700579e-05 #>  [4093,] 6.321007e-05 5.054949e-05 2.341258e-05 2.210128e-05 2.201169e-05 #>  [4094,] 1.273258e-05 1.272460e-05 1.247153e-05 1.282045e-05 1.695981e-05 #>  [4095,] 1.363157e-05 1.440125e-05 1.692065e-05 1.674511e-05 1.458661e-05 #>  [4096,] 1.323970e-04 1.580188e-04 1.859713e-04 2.461018e-04 2.337915e-04 #>  [4097,] 1.876184e-05 1.960255e-05 1.976141e-05 2.087796e-05 2.084471e-05 #>  [4098,] 1.534901e-05 1.766679e-05 1.725859e-05 1.695066e-05 1.672848e-05 #>  [4099,] 1.434927e-05 1.442261e-05 1.670998e-05 1.518071e-05 1.548958e-05 #>  [4100,] 3.718734e-04 2.701473e-04 1.616695e-04 1.591962e-04 2.929978e-04 #>  [4101,] 1.863892e-05 1.905520e-05 2.297324e-05 2.460688e-05 2.560788e-05 #>  [4102,] 1.291847e-04 1.527997e-04 3.367340e-04 2.365210e-04 2.564371e-04 #>  [4103,] 1.848347e-05 1.907064e-05 3.032570e-05 2.873549e-05 2.649125e-05 #>  [4104,] 2.800102e-05 2.854366e-05 3.816350e-05 4.930705e-05 7.009025e-05 #>  [4105,] 2.471840e-05 3.822500e-05 4.160443e-05 6.299098e-05 1.952422e-04 #>  [4106,] 5.134527e-05 3.740828e-05 2.752991e-05 2.850704e-05 2.646977e-05 #>  [4107,] 1.480688e-05 1.331697e-05 1.538242e-05 1.343430e-05 1.487314e-05 #>  [4108,] 1.238443e-05 1.363059e-05 1.313800e-05 1.385198e-05 1.351202e-05 #>  [4109,] 8.088040e-05 1.018157e-04 5.284856e-05 6.876510e-05 1.845843e-04 #>  [4110,] 1.310400e-05 1.406937e-05 1.530691e-05 1.715541e-05 1.750428e-05 #>  [4111,] 3.722315e-05 4.024454e-05 5.034661e-05 1.006195e-04 1.333167e-04 #>  [4112,] 8.913880e-05 7.329997e-05 6.815812e-05 7.168402e-05 6.528403e-05 #>  [4113,] 1.720278e-05 2.108075e-05 1.610304e-05 1.488386e-05 1.473750e-05 #>  [4114,] 1.657086e-05 1.630552e-05 1.337315e-05 1.518616e-05 1.692077e-05 #>  [4115,] 1.346858e-05 1.341837e-05 1.192950e-05 1.276507e-05 1.400595e-05 #>  [4116,] 1.242658e-05 1.333245e-05 1.285187e-05 1.373599e-05 1.331602e-05 #>  [4117,] 8.027474e-05 7.652681e-05 4.290190e-05 5.670069e-05 4.584356e-05 #>  [4118,] 1.286267e-05 1.322612e-05 1.466494e-05 1.494874e-05 1.550755e-05 #>  [4119,] 1.473976e-05 1.565086e-05 1.348100e-05 1.581314e-05 2.109075e-05 #>  [4120,] 9.033773e-04 9.686618e-04 1.135225e-03 1.129307e-03 1.078634e-03 #>  [4121,] 1.897250e-04 1.608158e-04 1.464981e-04 1.681649e-04 2.638906e-04 #>  [4122,] 1.243652e-05 1.338284e-05 1.504419e-05 1.521035e-05 1.494008e-05 #>  [4123,] 1.247179e-05 1.219270e-05 1.169851e-05 1.120130e-05 1.210697e-05 #>  [4124,] 1.397100e-05 1.376846e-05 1.332263e-05 1.398275e-05 1.502830e-05 #>  [4125,] 2.908900e-05 3.685291e-05 3.902877e-05 4.742897e-05 5.204474e-05 #>  [4126,] 2.310228e-05 1.971748e-05 2.057244e-05 2.313077e-05 2.173687e-05 #>  [4127,] 1.210166e-05 1.176838e-05 1.133734e-05 1.178878e-05 1.269938e-05 #>  [4128,] 1.058666e-05 9.875494e-06 1.049527e-05 1.120255e-05 9.963148e-06 #>  [4129,] 2.579833e-05 2.756275e-05 2.051500e-05 1.749134e-05 1.872893e-05 #>  [4130,] 1.313176e-05 1.367017e-05 1.708889e-05 1.566690e-05 1.547975e-05 #>  [4131,] 9.500174e-04 8.858867e-04 1.049882e-03 1.012040e-03 4.748294e-04 #>  [4132,] 1.257202e-05 1.178109e-05 1.280795e-05 1.415881e-05 1.335305e-05 #>  [4133,] 1.133975e-05 1.109402e-05 1.136294e-05 1.213903e-05 1.210805e-05 #>  [4134,] 1.162644e-05 1.151604e-05 1.223436e-05 1.362107e-05 1.448421e-05 #>  [4135,] 1.346559e-05 1.389335e-05 1.543175e-05 1.479100e-05 1.570707e-05 #>  [4136,] 1.162063e-05 1.363984e-05 1.210065e-05 1.138048e-05 1.280101e-05 #>  [4137,] 1.199131e-05 1.136884e-05 1.268347e-05 1.377396e-05 1.494111e-05 #>  [4138,] 1.004860e-03 9.407020e-04 1.083258e-03 1.042350e-03 9.195032e-04 #>  [4139,] 2.945641e-05 2.579021e-05 3.232710e-05 3.264192e-05 4.584943e-05 #>  [4140,] 1.324976e-05 1.425242e-05 1.639688e-05 1.481173e-05 1.480915e-05 #>  [4141,] 1.549466e-05 1.589822e-05 1.717554e-05 1.348804e-05 1.370954e-05 #>  [4142,] 1.367747e-05 1.487588e-05 1.519871e-05 1.507818e-05 1.460001e-05 #>  [4143,] 1.409909e-05 1.615156e-05 2.158197e-05 2.047905e-05 1.779891e-05 #>  [4144,] 1.612187e-04 2.280851e-04 1.396066e-04 1.189963e-04 8.613856e-05 #>  [4145,] 1.214499e-05 1.099940e-05 1.205238e-05 1.118199e-05 1.171690e-05 #>  [4146,] 1.463646e-05 1.401483e-05 1.632166e-05 1.565967e-05 1.556500e-05 #>  [4147,] 2.117451e-05 2.552604e-05 3.561486e-05 4.244632e-05 3.821758e-05 #>  [4148,] 3.873176e-04 3.457168e-04 3.811846e-04 3.881591e-04 4.028366e-04 #>  [4149,] 9.942754e-05 6.936772e-05 1.078483e-04 1.165740e-04 7.538366e-05 #>  [4150,] 1.306005e-05 1.485301e-05 1.935774e-05 2.012432e-05 1.896515e-05 #>  [4151,] 1.331625e-05 1.530286e-05 1.536718e-05 1.468260e-05 1.511741e-05 #>  [4152,] 1.569116e-05 1.541795e-05 1.518107e-05 1.275445e-05 1.544439e-05 #>  [4153,] 1.210355e-05 1.187634e-05 1.323071e-05 1.347094e-05 1.381338e-05 #>  [4154,] 1.602529e-05 1.881976e-05 2.039448e-05 2.210584e-05 1.828103e-05 #>  [4155,] 1.247072e-05 1.524163e-05 1.774643e-05 1.511882e-05 1.529688e-05 #>  [4156,] 1.151935e-05 1.096536e-05 1.099430e-05 1.210833e-05 1.226503e-05 #>  [4157,] 5.826450e-05 5.419576e-05 5.446196e-05 5.793320e-05 5.373621e-05 #>  [4158,] 9.686731e-06 1.046963e-05 1.067526e-05 1.087071e-05 1.074646e-05 #>  [4159,] 1.354481e-05 1.294308e-05 1.296153e-05 1.505269e-05 1.680531e-05 #>  [4160,] 1.331957e-05 1.283914e-05 1.514106e-05 1.482062e-05 1.484299e-05 #>  [4161,] 1.721088e-05 2.048457e-05 2.230829e-05 2.759273e-05 4.242890e-05 #>  [4162,] 1.490223e-05 1.360688e-05 1.491675e-05 1.792149e-05 1.740307e-05 #>  [4163,] 1.246228e-05 1.316273e-05 1.509107e-05 1.569426e-05 1.635809e-05 #>  [4164,] 1.397681e-05 1.755714e-05 1.850922e-05 1.594420e-05 1.679806e-05 #>  [4165,] 1.276382e-05 1.414160e-05 1.234977e-05 1.292686e-05 1.305809e-05 #>  [4166,] 1.972118e-05 1.828770e-05 2.062402e-05 2.667414e-05 2.239533e-05 #>  [4167,] 2.807802e-05 3.076418e-05 4.085437e-05 5.859826e-05 8.832673e-05 #>  [4168,] 1.167231e-05 1.193891e-05 1.197118e-05 1.216672e-05 1.394325e-05 #>  [4169,] 1.368928e-05 1.397143e-05 1.689225e-05 1.691657e-05 1.972216e-05 #>  [4170,] 1.186377e-05 1.198660e-05 1.312238e-05 1.336658e-05 1.365929e-05 #>  [4171,] 1.154740e-05 1.130288e-05 1.187660e-05 1.432749e-05 1.385763e-05 #>  [4172,] 1.451975e-05 1.610472e-05 1.818935e-05 1.935479e-05 1.975627e-05 #>  [4173,] 1.270505e-05 1.279056e-05 1.483588e-05 1.422597e-05 1.520472e-05 #>  [4174,] 1.625620e-05 1.622958e-05 1.925994e-05 1.594909e-05 2.055433e-05 #>  [4175,] 1.317846e-05 1.234113e-05 1.221819e-05 1.393561e-05 1.412428e-05 #>  [4176,] 1.588136e-05 1.557161e-05 1.341894e-05 1.544945e-05 1.545017e-05 #>  [4177,] 1.624357e-05 1.469879e-05 1.504161e-05 1.620552e-05 1.568378e-05 #>  [4178,] 7.186014e-05 7.208856e-05 5.383871e-05 3.843832e-05 3.093396e-05 #>  [4179,] 1.318862e-05 1.263631e-05 1.356109e-05 1.512795e-05 1.550637e-05 #>  [4180,] 4.294982e-05 6.571017e-05 4.342968e-05 4.200606e-05 4.622152e-05 #>  [4181,] 1.284978e-05 1.386953e-05 1.508107e-05 1.657338e-05 1.706001e-05 #>  [4182,] 1.309276e-05 1.433295e-05 1.444048e-05 1.476781e-05 1.539936e-05 #>  [4183,] 1.436953e-05 1.368234e-05 1.368342e-05 1.627048e-05 1.701339e-05 #>  [4184,] 1.408057e-05 1.284686e-05 1.349621e-05 1.518822e-05 1.569997e-05 #>  [4185,] 1.363721e-05 1.332195e-05 1.438241e-05 1.571313e-05 1.555267e-05 #>  [4186,] 1.540437e-05 1.466310e-05 1.562314e-05 1.765912e-05 1.614626e-05 #>  [4187,] 1.511668e-05 1.346636e-05 1.589518e-05 1.624179e-05 1.551085e-05 #>  [4188,] 1.208816e-05 1.211601e-05 1.307386e-05 1.236005e-05 1.255954e-05 #>  [4189,] 1.218934e-05 1.179719e-05 1.487348e-05 1.592706e-05 1.651502e-05 #>  [4190,] 1.394644e-05 1.499309e-05 1.703345e-05 1.661538e-05 1.883801e-05 #>  [4191,] 1.455680e-05 1.440513e-05 1.436255e-05 1.369234e-05 1.438612e-05 #>  [4192,] 1.640165e-05 1.435592e-05 1.675035e-05 1.915600e-05 1.976178e-05 #>  [4193,] 1.342687e-05 1.533876e-05 1.960441e-05 1.788418e-05 1.705204e-05 #>  [4194,] 1.387481e-05 1.425845e-05 2.097517e-05 2.297726e-05 2.568695e-05 #>  [4195,] 1.339488e-05 1.495012e-05 1.233150e-05 1.457999e-05 1.493566e-05 #>  [4196,] 1.251711e-05 1.438205e-05 1.761080e-05 1.527771e-05 1.529865e-05 #>  [4197,] 1.586773e-05 1.915350e-05 1.367986e-05 1.409984e-05 1.405617e-05 #>  [4198,] 1.633720e-05 1.555161e-05 2.310274e-05 2.151830e-05 2.441944e-05 #>  [4199,] 2.157187e-05 1.895069e-05 2.293116e-05 2.789382e-05 3.019926e-05 #>  [4200,] 1.702003e-05 1.972328e-05 1.822923e-05 1.877810e-05 1.830216e-05 #>  [4201,] 1.505617e-05 1.460166e-05 1.398131e-05 1.663257e-05 1.669504e-05 #>  [4202,] 1.600301e-05 1.441129e-05 1.614367e-05 1.730910e-05 2.273116e-05 #>  [4203,] 1.234124e-05 1.152972e-05 1.227455e-05 1.245587e-05 1.191758e-05 #>  [4204,] 1.530321e-05 1.525287e-05 2.090483e-05 2.020479e-05 1.678688e-05 #>  [4205,] 2.196385e-05 1.433724e-05 1.716179e-05 1.444775e-05 1.545019e-05 #>  [4206,] 4.181796e-05 4.420247e-05 2.589134e-05 3.071053e-05 3.993521e-05 #>  [4207,] 1.309056e-05 1.240861e-05 1.259814e-05 1.458918e-05 1.442337e-05 #>  [4208,] 7.772842e-05 7.239223e-05 7.946452e-05 9.285537e-05 1.531360e-04 #>  [4209,] 1.573444e-05 1.460780e-05 1.684819e-05 1.807539e-05 1.695781e-05 #>  [4210,] 1.514464e-05 1.337647e-05 1.992257e-05 1.774572e-05 1.509250e-05 #>  [4211,] 1.441307e-05 1.531827e-05 1.668638e-05 1.623432e-05 1.670631e-05 #>  [4212,] 1.395302e-04 5.366923e-04 4.232754e-04 3.795790e-04 4.770354e-04 #>  [4213,] 2.483907e-05 2.320671e-05 2.462979e-05 2.725862e-05 2.762982e-05 #>  [4214,] 1.451755e-05 1.366999e-05 1.296430e-05 1.456916e-05 1.292451e-05 #>  [4215,] 1.535632e-05 1.896558e-05 3.491998e-05 4.124707e-05 4.835066e-05 #>  [4216,] 1.912027e-04 8.814551e-05 6.647655e-05 7.082417e-05 7.453495e-05 #>  [4217,] 8.676292e-05 7.109823e-05 4.207016e-05 5.518250e-05 4.451528e-05 #>  [4218,] 1.264299e-05 1.306390e-05 1.441542e-05 1.437880e-05 1.489342e-05 #>  [4219,] 1.220034e-05 1.269438e-05 1.139641e-05 1.271315e-05 1.294444e-05 #>  [4220,] 2.676422e-05 6.271209e-05 2.246149e-04 1.541663e-04 6.901195e-05 #>  [4221,] 2.598042e-05 2.030824e-05 2.987450e-05 3.578361e-05 2.667465e-05 #>  [4222,] 1.726583e-05 2.010900e-05 1.915280e-05 1.811734e-05 1.761308e-05 #>  [4223,] 1.634501e-05 1.635425e-05 1.584568e-05 1.863054e-05 2.081160e-05 #>  [4224,] 5.012825e-05 6.381044e-05 1.999364e-05 2.016402e-05 2.799957e-05 #>  [4225,] 8.461303e-05 1.099520e-04 1.790175e-04 2.216679e-04 2.724169e-04 #>  [4226,] 2.822406e-05 2.469228e-05 3.379110e-05 3.380355e-05 2.848610e-05 #>  [4227,] 1.142089e-05 1.147989e-05 1.194191e-05 1.161540e-05 1.158060e-05 #>  [4228,] 2.112859e-05 2.334039e-05 7.397287e-05 6.253270e-05 4.673689e-05 #>  [4229,] 1.225731e-05 1.434009e-05 1.498896e-05 1.479032e-05 1.529693e-05 #>  [4230,] 1.301937e-05 1.363260e-05 1.309332e-05 1.589515e-05 1.633759e-05 #>  [4231,] 1.295729e-05 1.267730e-05 1.467425e-05 1.536822e-05 1.485121e-05 #>  [4232,] 4.643596e-05 1.848920e-05 3.113580e-05 2.803048e-05 5.595189e-05 #>  [4233,] 3.754524e-04 3.361051e-04 4.120276e-04 3.948717e-04 3.693812e-04 #>  [4234,] 1.518268e-05 1.462428e-05 2.204263e-05 2.094687e-05 1.687274e-05 #>  [4235,] 1.552255e-05 1.674548e-05 1.504212e-05 1.702191e-05 1.613426e-05 #>  [4236,] 8.048279e-05 4.629886e-05 3.878343e-05 4.666583e-05 3.397084e-05 #>  [4237,] 1.990408e-05 1.760238e-05 2.168847e-05 2.121893e-05 2.290397e-05 #>  [4238,] 1.489449e-05 1.341495e-05 1.366108e-05 1.465810e-05 1.446539e-05 #>  [4239,] 5.803487e-05 3.559576e-05 6.109734e-05 6.663028e-05 8.302294e-05 #>  [4240,] 2.211405e-05 2.322347e-05 3.641406e-05 3.941980e-05 3.828891e-05 #>  [4241,] 1.279769e-05 1.302292e-05 1.294634e-05 1.312739e-05 1.279615e-05 #>  [4242,] 5.687267e-04 4.678792e-04 9.010568e-04 8.459402e-04 9.047774e-04 #>  [4243,] 1.512691e-05 1.783238e-05 3.547860e-05 3.189501e-05 2.268317e-05 #>  [4244,] 1.692576e-05 1.790303e-05 1.643004e-05 1.786693e-05 2.132990e-05 #>  [4245,] 2.316215e-05 2.194739e-05 1.602529e-05 1.619941e-05 1.554378e-05 #>  [4246,] 2.272102e-05 3.014347e-05 6.354688e-05 7.176038e-05 6.518916e-05 #>  [4247,] 1.113270e-05 1.328031e-05 1.370698e-05 1.331839e-05 2.734617e-05 #>  [4248,] 3.791364e-05 3.135554e-05 3.932950e-05 5.727774e-05 5.677165e-05 #>  [4249,] 1.270877e-05 1.246415e-05 1.454349e-05 1.431654e-05 1.456446e-05 #>  [4250,] 1.263753e-05 1.393619e-05 1.586833e-05 1.396162e-05 1.445490e-05 #>  [4251,] 1.183106e-04 1.677365e-04 7.996972e-05 1.090022e-04 6.444127e-05 #>  [4252,] 3.574664e-05 3.252862e-05 4.211472e-05 3.715468e-05 2.768064e-05 #>  [4253,] 1.323625e-05 1.422061e-05 1.655961e-05 1.715302e-05 1.933650e-05 #>  [4254,] 1.449946e-05 1.491489e-05 1.642641e-05 1.492553e-05 1.485289e-05 #>  [4255,] 8.144682e-05 5.258613e-05 5.246183e-05 6.854571e-05 5.441067e-05 #>  [4256,] 1.695296e-04 1.582178e-04 1.685596e-04 1.608486e-04 1.179585e-04 #>  [4257,] 2.138973e-05 2.678160e-05 4.563553e-05 3.466852e-05 2.648458e-05 #>  [4258,] 1.494466e-05 1.590755e-05 1.524234e-05 1.483673e-05 1.473405e-05 #>  [4259,] 1.490647e-05 1.503259e-05 1.740584e-05 1.539868e-05 1.501952e-05 #>  [4260,] 1.166246e-05 1.233600e-05 1.272363e-05 1.291476e-05 1.358102e-05 #>  [4261,] 1.212778e-05 1.271408e-05 1.554027e-05 1.620437e-05 1.467761e-05 #>  [4262,] 4.586672e-04 1.462292e-04 1.610801e-04 1.821298e-04 2.547836e-04 #>  [4263,] 7.567012e-04 7.645624e-04 1.007839e-04 5.542821e-05 1.056336e-04 #>  [4264,] 1.278148e-05 1.188921e-05 1.171768e-05 1.386073e-05 1.457844e-05 #>  [4265,] 3.400977e-05 2.596272e-05 3.641175e-05 5.591777e-05 6.688366e-05 #>  [4266,] 1.495616e-05 1.894670e-05 1.668515e-05 1.691830e-05 1.508757e-05 #>  [4267,] 1.454504e-05 1.456358e-05 1.652450e-05 1.557246e-05 1.526212e-05 #>  [4268,] 3.857354e-05 4.136740e-05 4.042333e-05 4.059408e-05 2.748704e-05 #>  [4269,] 1.093156e-03 9.051870e-04 8.447188e-04 1.051295e-03 1.017437e-03 #>  [4270,] 1.897981e-05 2.067720e-05 5.331502e-05 5.415460e-05 6.024488e-05 #>  [4271,] 1.463357e-05 1.473374e-05 1.544548e-05 1.564065e-05 1.493483e-05 #>  [4272,] 1.885546e-05 1.867940e-05 2.314349e-05 2.686750e-05 3.142197e-05 #>  [4273,] 1.072039e-05 1.013287e-05 1.140905e-05 1.101198e-05 1.033582e-05 #>  [4274,] 1.321513e-05 1.353034e-05 1.311874e-05 1.413002e-05 1.554585e-05 #>  [4275,] 1.574048e-05 1.626194e-05 1.734850e-05 1.839879e-05 1.731586e-05 #>  [4276,] 1.495560e-05 1.853366e-05 2.261274e-05 2.122127e-05 2.047512e-05 #>  [4277,] 1.493029e-05 1.608726e-05 1.919462e-05 1.872881e-05 1.766853e-05 #>  [4278,] 2.478605e-05 3.994728e-05 1.955791e-05 2.603055e-05 3.820270e-05 #>  [4279,] 1.396466e-05 1.167520e-05 1.241970e-05 1.285876e-05 1.283030e-05 #>  [4280,] 3.226493e-05 3.982981e-05 3.446321e-05 4.222022e-05 5.363357e-05 #>  [4281,] 1.403295e-05 1.498851e-05 1.818432e-05 1.666943e-05 1.605408e-05 #>  [4282,] 1.195526e-05 1.756671e-05 1.490586e-05 1.506211e-05 1.595083e-05 #>  [4283,] 1.154299e-05 1.118143e-05 1.254969e-05 1.271622e-05 1.227326e-05 #>  [4284,] 1.652612e-05 1.838204e-05 2.361738e-05 3.095604e-05 4.148864e-05 #>  [4285,] 5.860851e-05 6.258154e-05 4.682647e-05 5.998928e-05 6.486738e-05 #>  [4286,] 1.326543e-05 1.388441e-05 1.491430e-05 1.598721e-05 1.620237e-05 #>  [4287,] 1.495165e-05 1.553246e-05 2.507169e-05 2.310507e-05 2.112389e-05 #>  [4288,] 1.388053e-05 1.324627e-05 1.340784e-05 1.505548e-05 1.780032e-05 #>  [4289,] 1.279457e-05 1.396184e-05 1.413106e-05 1.512854e-05 1.487074e-05 #>  [4290,] 8.524616e-04 6.320096e-04 2.907139e-04 3.295280e-04 3.243128e-04 #>  [4291,] 1.460130e-05 1.373847e-05 1.545966e-05 1.648291e-05 1.583574e-05 #>  [4292,] 1.650776e-05 1.600582e-05 2.552163e-05 2.009679e-05 1.732186e-05 #>  [4293,] 1.549939e-05 1.459182e-05 1.927722e-05 2.147973e-05 2.034002e-05 #>  [4294,] 2.173385e-04 1.489802e-04 2.000808e-04 2.277925e-04 2.787373e-04 #>  [4295,] 2.825900e-05 1.922595e-05 2.177939e-05 2.555054e-05 5.372477e-05 #>  [4296,] 1.246274e-05 1.292379e-05 1.283422e-05 1.402498e-05 1.417242e-05 #>  [4297,] 1.287801e-05 1.365844e-05 1.610835e-05 1.741791e-05 1.751706e-05 #>  [4298,] 1.107656e-05 1.050149e-05 1.029578e-05 1.063066e-05 1.102805e-05 #>  [4299,] 1.414122e-05 1.349714e-05 1.536949e-05 1.605154e-05 1.564201e-05 #>  [4300,] 2.141443e-05 3.327267e-05 4.739478e-05 4.297397e-05 4.020110e-05 #>  [4301,] 2.821060e-05 3.269649e-05 2.938921e-05 2.874160e-05 2.778289e-05 #>  [4302,] 3.465747e-05 3.004581e-05 2.586047e-05 2.063338e-05 1.730618e-05 #>  [4303,] 1.152726e-05 1.202083e-05 1.121094e-05 1.200514e-05 1.127677e-05 #>  [4304,] 1.815894e-05 2.409752e-05 2.049807e-05 2.423816e-05 2.636061e-05 #>  [4305,] 1.268021e-05 1.382024e-05 1.345055e-05 1.311706e-05 1.289779e-05 #>  [4306,] 1.324090e-05 1.280615e-05 1.263915e-05 1.444685e-05 1.405493e-05 #>  [4307,] 1.404751e-05 1.427003e-05 1.322494e-05 1.403576e-05 1.377148e-05 #>  [4308,] 1.918869e-05 1.981695e-05 2.412121e-05 2.442237e-05 2.317666e-05 #>  [4309,] 1.311914e-05 1.324703e-05 1.436228e-05 1.474378e-05 1.585232e-05 #>  [4310,] 1.413453e-05 1.417058e-05 1.423815e-05 1.558688e-05 1.549282e-05 #>  [4311,] 1.264352e-05 1.371437e-05 1.511295e-05 1.575884e-05 2.525791e-05 #>  [4312,] 1.503802e-05 1.460003e-05 1.502923e-05 1.520780e-05 1.524800e-05 #>  [4313,] 1.177078e-05 1.239258e-05 1.365802e-05 1.408895e-05 1.442159e-05 #>  [4314,] 1.233199e-05 1.218963e-05 1.209588e-05 1.334298e-05 1.299272e-05 #>  [4315,] 1.307718e-05 1.603224e-05 1.337236e-05 1.394604e-05 1.365610e-05 #>  [4316,] 1.039327e-03 1.021386e-03 1.133538e-03 1.116345e-03 1.037832e-03 #>  [4317,] 4.336266e-05 5.163899e-05 1.080668e-04 1.077768e-04 9.416172e-05 #>  [4318,] 1.178213e-05 1.219305e-05 1.427147e-05 1.539016e-05 1.488393e-05 #>  [4319,] 2.707818e-05 1.855748e-05 1.856306e-05 1.957309e-05 1.909763e-05 #>  [4320,] 3.546646e-04 2.796017e-04 1.684534e-04 1.763947e-04 1.685326e-04 #>  [4321,] 2.310250e-05 4.464156e-05 7.999280e-05 7.855533e-05 8.060259e-05 #>  [4322,] 3.620922e-05 6.177095e-05 3.435344e-05 2.473581e-05 2.419984e-05 #>  [4323,] 1.381417e-05 1.450263e-05 1.402210e-05 1.455120e-05 1.493499e-05 #>  [4324,] 3.496354e-05 3.491984e-05 3.086325e-05 3.566405e-05 2.675656e-05 #>  [4325,] 7.711230e-05 5.730821e-05 8.317776e-05 8.550958e-05 4.437781e-05 #>  [4326,] 2.340493e-05 2.445645e-05 2.353922e-05 2.365526e-05 2.836674e-05 #>  [4327,] 3.118404e-05 3.384435e-05 3.106593e-05 4.007427e-05 4.686222e-05 #>  [4328,] 1.449381e-05 1.576457e-05 1.560092e-05 1.626786e-05 1.676663e-05 #>  [4329,] 1.252716e-05 1.246084e-05 1.109843e-05 1.243568e-05 1.380768e-05 #>  [4330,] 9.785043e-05 8.764678e-05 9.571179e-05 7.038052e-05 8.092436e-05 #>  [4331,] 1.351868e-05 1.314087e-05 1.317373e-05 1.402704e-05 1.487382e-05 #>  [4332,] 1.827129e-04 1.801106e-04 1.447496e-04 1.474777e-04 1.539184e-04 #>  [4333,] 1.424419e-05 1.535032e-05 1.572139e-05 1.448676e-05 1.459402e-05 #>  [4334,] 1.263619e-05 1.558405e-05 1.834349e-05 2.062410e-05 3.550377e-05 #>  [4335,] 1.556129e-05 1.569948e-05 1.844188e-05 1.490702e-05 1.998308e-05 #>  [4336,] 1.300446e-05 1.332871e-05 1.409319e-05 1.570468e-05 1.515501e-05 #>  [4337,] 1.314914e-05 1.431373e-05 1.716991e-05 1.663020e-05 1.683416e-05 #>  [4338,] 2.728473e-05 2.968582e-05 1.749799e-05 2.294250e-05 4.287103e-05 #>  [4339,] 2.372956e-05 2.691338e-05 1.992619e-05 2.638679e-05 4.912330e-05 #>  [4340,] 1.378609e-05 1.330719e-05 1.366682e-05 1.657603e-05 1.438030e-05 #>  [4341,] 1.205967e-05 1.222004e-05 1.205852e-05 1.273649e-05 1.291685e-05 #>  [4342,] 1.127136e-05 1.157634e-05 1.226813e-05 1.204602e-05 1.210176e-05 #>  [4343,] 1.419248e-05 1.462512e-05 1.530717e-05 1.583230e-05 1.521114e-05 #>  [4344,] 1.123432e-05 1.141694e-05 1.148471e-05 1.158524e-05 1.202769e-05 #>  [4345,] 1.532928e-05 1.555413e-05 2.351953e-05 3.727592e-05 3.432115e-05 #>  [4346,] 1.331760e-05 1.455649e-05 1.565774e-05 1.626501e-05 1.498488e-05 #>  [4347,] 4.175783e-05 3.480022e-05 1.793232e-05 2.027199e-05 2.453566e-05 #>  [4348,] 1.168597e-05 1.199335e-05 1.179319e-05 1.194731e-05 1.256607e-05 #>  [4349,] 1.853798e-05 1.537556e-05 1.441230e-05 1.420700e-05 1.468610e-05 #>  [4350,] 2.861905e-05 1.714052e-05 2.052939e-05 2.241791e-05 2.782593e-05 #>  [4351,] 1.377123e-05 1.388461e-05 1.536802e-05 1.478039e-05 1.472262e-05 #>  [4352,] 1.171489e-05 1.185345e-05 1.185721e-05 1.216908e-05 1.270211e-05 #>  [4353,] 1.348178e-05 1.190469e-05 1.228792e-05 1.223626e-05 1.236489e-05 #>  [4354,] 2.552536e-05 2.412875e-05 1.644609e-05 1.812709e-05 2.469379e-05 #>  [4355,] 1.463827e-05 1.485573e-05 1.268415e-05 1.190866e-05 1.286081e-05 #>  [4356,] 1.367116e-05 1.317785e-05 1.271111e-05 1.329420e-05 1.265740e-05 #>  [4357,] 1.430767e-05 1.649862e-05 1.924178e-05 2.059791e-05 2.088763e-05 #>  [4358,] 1.289159e-05 1.222487e-05 1.394544e-05 1.452125e-05 1.704685e-05 #>  [4359,] 1.472991e-05 1.740656e-05 2.479390e-05 3.181720e-05 6.941479e-05 #>  [4360,] 1.375608e-05 1.369733e-05 1.421066e-05 1.372431e-05 1.394521e-05 #>  [4361,] 1.213860e-05 1.341371e-05 1.486903e-05 1.379880e-05 1.426050e-05 #>  [4362,] 1.551557e-05 1.532650e-05 1.527022e-05 1.569707e-05 1.645422e-05 #>  [4363,] 1.946639e-05 1.747443e-05 2.425263e-05 3.090137e-05 3.461651e-05 #>  [4364,] 2.898352e-05 5.357281e-05 7.409999e-05 6.818213e-05 7.378856e-05 #>  [4365,] 2.309145e-05 2.165288e-05 2.284970e-05 2.044757e-05 2.428627e-05 #>  [4366,] 2.387048e-05 2.216417e-05 2.420035e-05 2.490831e-05 2.523761e-05 #>  [4367,] 1.279489e-05 1.277191e-05 1.550708e-05 1.675934e-05 1.612499e-05 #>  [4368,] 1.502896e-05 1.547457e-05 2.111888e-05 1.767817e-05 1.721134e-05 #>  [4369,] 1.534574e-05 1.644231e-05 1.993084e-05 2.078058e-05 1.795124e-05 #>  [4370,] 2.265063e-05 2.337957e-05 2.927026e-05 2.672708e-05 2.789697e-05 #>  [4371,] 1.838063e-05 1.707448e-05 2.003541e-05 2.355894e-05 2.333576e-05 #>  [4372,] 1.542832e-05 1.442765e-05 1.877426e-05 1.862235e-05 1.923689e-05 #>  [4373,] 1.285822e-05 1.260715e-05 1.360529e-05 1.452996e-05 1.423173e-05 #>  [4374,] 6.248056e-05 6.583513e-05 1.227077e-04 1.717962e-04 4.693364e-04 #>  [4375,] 3.403624e-05 3.934043e-05 7.305786e-05 1.033909e-04 1.232203e-04 #>  [4376,] 1.209643e-05 1.162042e-05 1.259870e-05 1.447861e-05 1.540080e-05 #>  [4377,] 1.326685e-05 1.347006e-05 1.520365e-05 1.500935e-05 1.492879e-05 #>  [4378,] 1.229607e-05 1.254338e-05 1.318201e-05 1.425316e-05 1.510555e-05 #>  [4379,] 1.524129e-05 1.475422e-05 1.335215e-05 1.431330e-05 1.471624e-05 #>  [4380,] 4.028471e-04 4.037500e-04 2.734282e-04 2.669302e-04 1.636243e-04 #>  [4381,] 2.216586e-05 2.629897e-05 1.765438e-05 1.654321e-05 1.615588e-05 #>  [4382,] 1.231255e-05 1.181863e-05 1.655674e-05 1.296669e-05 1.301514e-05 #>  [4383,] 1.305759e-05 1.327473e-05 1.457575e-05 1.414306e-05 1.523047e-05 #>  [4384,] 1.828318e-05 1.661121e-05 2.544334e-05 1.964725e-05 1.936232e-05 #>  [4385,] 4.230146e-05 5.145783e-05 7.691212e-05 9.289723e-05 2.380634e-04 #>  [4386,] 1.285194e-05 1.374417e-05 1.666017e-05 1.387015e-05 1.416378e-05 #>  [4387,] 2.679939e-04 3.011817e-04 1.919266e-04 1.317756e-04 1.202262e-04 #>  [4388,] 1.251201e-05 1.453698e-05 1.526662e-05 1.455323e-05 1.345625e-05 #>  [4389,] 1.464877e-05 1.487603e-05 1.962576e-05 1.942075e-05 2.047866e-05 #>  [4390,] 1.144743e-05 1.159717e-05 1.199616e-05 1.360194e-05 1.372700e-05 #>  [4391,] 1.286755e-05 1.396033e-05 1.454192e-05 1.625572e-05 1.810594e-05 #>  [4392,] 2.002865e-05 2.187716e-05 2.972464e-05 2.510616e-05 2.296665e-05 #>  [4393,] 2.446189e-05 2.644178e-05 3.058261e-05 3.108614e-05 3.207613e-05 #>  [4394,] 1.440001e-04 1.127056e-04 5.254355e-05 4.621926e-05 3.519097e-05 #>  [4395,] 1.297529e-05 1.414331e-05 1.633327e-05 1.578608e-05 1.550464e-05 #>  [4396,] 1.255745e-05 1.349576e-05 1.533314e-05 1.637909e-05 1.615642e-05 #>  [4397,] 5.600242e-05 4.932245e-05 3.558615e-05 6.339995e-05 6.710861e-05 #>  [4398,] 1.036871e-03 1.023969e-03 9.271049e-04 8.733227e-04 8.446883e-04 #>  [4399,] 2.955585e-04 2.687927e-04 8.315105e-05 1.941856e-04 1.599782e-04 #>  [4400,] 1.650252e-05 1.937668e-05 2.202151e-05 2.066787e-05 2.138820e-05 #>  [4401,] 7.170368e-05 6.917122e-05 3.120718e-05 4.311958e-05 3.593553e-05 #>  [4402,] 3.645392e-05 3.413527e-05 5.018785e-05 4.936521e-05 3.335436e-05 #>  [4403,] 1.179305e-05 1.524677e-05 1.382214e-05 1.402883e-05 1.502250e-05 #>  [4404,] 1.630771e-05 1.891261e-05 1.901000e-05 1.654119e-05 1.849632e-05 #>  [4405,] 4.190829e-05 2.475115e-05 3.269748e-05 2.087598e-05 5.723196e-05 #>  [4406,] 3.497927e-05 3.686256e-05 2.733222e-05 3.181561e-05 4.169115e-05 #>  [4407,] 9.088720e-05 4.997831e-05 2.475483e-05 2.263574e-05 2.045955e-05 #>  [4408,] 1.456225e-05 1.402482e-05 1.179202e-05 1.203516e-05 1.349611e-05 #>  [4409,] 1.219965e-05 1.152082e-05 1.116169e-05 1.286225e-05 1.363761e-05 #>  [4410,] 2.662426e-05 2.681271e-05 2.140198e-05 2.494720e-05 2.948314e-05 #>  [4411,] 1.370492e-05 1.273187e-05 1.330339e-05 1.456956e-05 1.425835e-05 #>  [4412,] 1.760724e-05 2.706571e-05 2.172682e-05 1.849389e-05 2.667238e-05 #>  [4413,] 1.147290e-05 1.066006e-05 1.203240e-05 1.237942e-05 1.172981e-05 #>  [4414,] 1.285212e-05 1.245437e-05 1.359822e-05 1.502904e-05 1.479704e-05 #>  [4415,] 3.791275e-05 4.179428e-05 5.888391e-05 6.741875e-05 6.800490e-05 #>  [4416,] 1.316608e-05 1.360115e-05 1.616175e-05 1.685167e-05 1.701959e-05 #>  [4417,] 1.180853e-05 1.449558e-05 1.676307e-05 1.524119e-05 1.630481e-05 #>  [4418,] 1.441145e-04 1.215687e-04 3.085881e-05 3.004005e-05 3.585642e-05 #>  [4419,] 1.206612e-05 1.142595e-05 1.202373e-05 1.352747e-05 1.322914e-05 #>  [4420,] 1.461154e-05 1.617717e-05 1.421952e-05 1.487256e-05 1.580667e-05 #>  [4421,] 1.406327e-05 1.303059e-05 1.342847e-05 1.503805e-05 1.464272e-05 #>  [4422,] 1.080905e-05 1.044618e-05 1.100426e-05 1.078759e-05 1.104482e-05 #>  [4423,] 1.221938e-05 1.392005e-05 1.467164e-05 1.561053e-05 1.593088e-05 #>  [4424,] 2.867499e-05 3.668561e-05 2.953244e-05 2.283118e-05 3.110631e-05 #>  [4425,] 1.554183e-05 1.622388e-05 1.560964e-05 1.628473e-05 1.641161e-05 #>  [4426,] 1.330660e-05 1.387794e-05 1.298911e-05 1.498016e-05 1.616913e-05 #>  [4427,] 1.615052e-05 2.188754e-05 2.736098e-05 3.561102e-05 2.058664e-05 #>  [4428,] 3.259941e-04 6.689305e-04 3.669475e-04 2.563500e-04 3.108823e-04 #>  [4429,] 1.644245e-05 1.686352e-05 1.726155e-05 1.734457e-05 1.622265e-05 #>  [4430,] 1.571249e-05 1.709169e-05 1.408249e-05 1.519216e-05 1.500504e-05 #>  [4431,] 1.984357e-05 2.267243e-05 3.548522e-05 2.796267e-05 2.387718e-05 #>  [4432,] 7.719602e-05 4.647416e-05 2.326749e-05 3.578852e-05 3.497297e-05 #>  [4433,] 1.316503e-05 1.264597e-05 1.261113e-05 1.275833e-05 1.256394e-05 #>  [4434,] 1.566347e-05 1.403942e-05 2.024878e-05 2.191607e-05 2.146677e-05 #>  [4435,] 1.278293e-05 1.496718e-05 1.394666e-05 1.408918e-05 1.394478e-05 #>  [4436,] 1.122208e-04 6.053533e-05 5.404416e-05 6.404724e-05 7.026423e-05 #>  [4437,] 1.411545e-05 1.347093e-05 1.542176e-05 1.543608e-05 1.573140e-05 #>  [4438,] 1.308462e-05 1.226353e-05 1.341905e-05 1.444049e-05 1.398813e-05 #>  [4439,] 3.023272e-05 3.060317e-05 5.128720e-05 6.915831e-05 1.155797e-04 #>  [4440,] 2.580139e-05 3.064775e-05 4.838450e-05 4.357240e-05 3.614853e-05 #>  [4441,] 1.421016e-05 1.163435e-05 1.259388e-05 1.205464e-05 1.294765e-05 #>  [4442,] 7.945969e-05 6.775137e-05 1.042993e-04 1.977057e-04 2.360101e-04 #>  [4443,] 1.361925e-04 1.227341e-04 9.565326e-05 9.513867e-05 1.356722e-04 #>  [4444,] 1.112958e-05 1.084464e-05 1.365090e-05 1.145366e-05 1.177453e-05 #>  [4445,] 3.942063e-05 3.869010e-05 5.706382e-05 4.722157e-05 3.806004e-05 #>  [4446,] 1.541647e-05 1.564794e-05 1.611910e-05 1.791304e-05 1.784097e-05 #>  [4447,] 1.304640e-05 1.268817e-05 1.279913e-05 1.411965e-05 1.453829e-05 #>  [4448,] 1.439373e-05 1.506855e-05 1.842632e-05 2.107755e-05 2.527782e-05 #>  [4449,] 6.586187e-05 4.852032e-05 4.161035e-05 3.975841e-05 3.375614e-05 #>  [4450,] 1.391982e-05 1.476331e-05 1.573264e-05 1.494218e-05 1.569924e-05 #>  [4451,] 1.289908e-05 1.257929e-05 1.329215e-05 1.386589e-05 1.369070e-05 #>  [4452,] 7.299097e-04 8.159698e-04 3.147238e-04 1.155908e-04 4.841060e-04 #>  [4453,] 2.306933e-05 2.139001e-05 4.947070e-05 5.777147e-05 5.485085e-05 #>  [4454,] 1.235521e-05 1.276640e-05 1.374015e-05 1.564942e-05 1.544140e-05 #>  [4455,] 1.197384e-05 1.158765e-05 1.237172e-05 1.321322e-05 1.335574e-05 #>  [4456,] 1.637794e-05 1.657135e-05 1.759822e-05 1.761571e-05 1.813121e-05 #>  [4457,] 1.199802e-05 1.303363e-05 1.475267e-05 1.462967e-05 1.526526e-05 #>  [4458,] 2.234997e-05 2.775234e-05 2.689022e-05 2.702835e-05 2.423547e-05 #>  [4459,] 1.267314e-05 1.200502e-05 1.175676e-05 1.394038e-05 1.478349e-05 #>  [4460,] 1.522829e-05 1.444311e-05 1.459112e-05 2.019159e-05 1.867408e-05 #>  [4461,] 1.417159e-05 1.318777e-05 1.434637e-05 1.503221e-05 1.462375e-05 #>  [4462,] 1.376353e-05 1.329641e-05 1.885752e-05 2.989156e-05 2.088566e-05 #>  [4463,] 2.209806e-05 2.436004e-05 2.625798e-05 2.433637e-05 2.145343e-05 #>  [4464,] 1.245628e-05 1.219567e-05 1.182163e-05 1.198567e-05 1.532312e-05 #>  [4465,] 1.949014e-05 1.408400e-05 1.776526e-05 1.852143e-05 2.183011e-05 #>  [4466,] 1.322404e-05 1.442744e-05 1.700772e-05 1.680287e-05 1.578168e-05 #>  [4467,] 1.450103e-05 1.545230e-05 1.917959e-05 2.052914e-05 1.855158e-05 #>  [4468,] 2.401872e-05 2.909979e-05 5.131898e-05 5.045527e-05 3.700584e-05 #>  [4469,] 1.017370e-05 1.024249e-05 1.108945e-05 1.204079e-05 1.127111e-05 #>  [4470,] 3.298929e-05 3.260421e-05 2.921606e-05 3.924134e-05 4.677562e-05 #>  [4471,] 9.614230e-04 8.643157e-04 1.388931e-04 1.521011e-04 2.317174e-04 #>  [4472,] 1.135112e-05 1.209686e-05 1.390949e-05 1.383804e-05 1.435543e-05 #>  [4473,] 2.702459e-05 3.023311e-05 1.698488e-05 1.609502e-05 2.185275e-05 #>  [4474,] 1.268826e-05 1.349970e-05 1.419375e-05 1.411317e-05 1.488616e-05 #>  [4475,] 1.338157e-05 1.412290e-05 1.633621e-05 1.501719e-05 1.494533e-05 #>  [4476,] 1.957355e-05 2.168199e-05 2.100965e-05 1.972670e-05 1.687998e-05 #>  [4477,] 1.571192e-05 1.692908e-05 1.700848e-05 1.738106e-05 1.625851e-05 #>  [4478,] 1.307561e-05 1.521566e-05 1.892666e-05 1.856184e-05 1.974509e-05 #>  [4479,] 1.630957e-05 1.748675e-05 1.585627e-05 1.519988e-05 1.507949e-05 #>  [4480,] 1.410997e-05 1.640090e-05 1.805597e-05 1.995497e-05 1.995332e-05 #>  [4481,] 1.320174e-05 1.416842e-05 1.727647e-05 1.717408e-05 1.593989e-05 #>  [4482,] 1.902201e-04 1.613565e-04 2.040564e-04 1.670239e-04 1.158397e-04 #>  [4483,] 2.796202e-05 3.383691e-05 2.275418e-05 2.259223e-05 2.282176e-05 #>  [4484,] 1.120756e-05 1.035756e-05 1.161094e-05 1.315546e-05 1.404401e-05 #>  [4485,] 1.371313e-05 1.426445e-05 1.385084e-05 1.515792e-05 1.662159e-05 #>  [4486,] 1.377130e-05 1.377355e-05 1.426464e-05 1.576763e-05 1.687723e-05 #>  [4487,] 1.467497e-05 1.532719e-05 1.717654e-05 1.686455e-05 1.657548e-05 #>  [4488,] 2.347700e-05 1.666540e-05 1.602586e-05 1.588546e-05 1.646495e-05 #>  [4489,] 1.752752e-05 1.755215e-05 1.776351e-05 1.835972e-05 1.784826e-05 #>  [4490,] 1.362925e-05 1.472926e-05 2.241584e-05 2.367680e-05 1.867998e-05 #>  [4491,] 1.368909e-05 1.322855e-05 1.435862e-05 1.487812e-05 1.521845e-05 #>  [4492,] 1.715787e-05 3.072186e-05 6.715254e-05 5.145549e-05 5.362710e-05 #>  [4493,] 1.093658e-05 1.098533e-05 1.179046e-05 1.179372e-05 1.153834e-05 #>  [4494,] 1.869067e-05 1.922617e-05 2.558434e-05 2.820350e-05 2.811803e-05 #>  [4495,] 1.252424e-05 1.257312e-05 1.194472e-05 1.292917e-05 1.262214e-05 #>  [4496,] 2.303365e-05 2.412046e-05 3.566331e-05 3.761329e-05 5.022121e-05 #>  [4497,] 1.311026e-05 1.457230e-05 1.505011e-05 1.478135e-05 1.444233e-05 #>  [4498,] 1.239395e-05 1.331706e-05 1.583480e-05 1.706695e-05 1.591264e-05 #>  [4499,] 3.054702e-05 5.645818e-05 1.014738e-04 8.308141e-05 7.321250e-05 #>  [4500,] 7.044745e-05 4.537458e-05 5.920027e-05 6.640228e-05 6.520920e-05 #>  [4501,] 6.620937e-05 5.276349e-05 3.856693e-05 3.411264e-05 4.397619e-05 #>  [4502,] 3.915862e-05 6.653860e-05 7.572955e-05 9.536753e-05 4.544966e-05 #>  [4503,] 2.432730e-05 2.629760e-05 3.660473e-05 2.955001e-05 1.934991e-05 #>  [4504,] 1.389551e-05 1.417232e-05 2.067225e-05 2.037514e-05 1.863812e-05 #>  [4505,] 1.817701e-05 2.023210e-05 1.644183e-05 1.517224e-05 1.571557e-05 #>  [4506,] 1.359597e-05 1.402144e-05 1.361578e-05 1.407102e-05 1.594467e-05 #>  [4507,] 1.264347e-05 1.413862e-05 1.396575e-05 1.391712e-05 1.367064e-05 #>  [4508,] 2.614238e-05 2.092828e-05 1.358013e-05 1.487800e-05 1.514815e-05 #>  [4509,] 1.860908e-05 2.985204e-05 2.342896e-05 3.378018e-05 9.299967e-05 #>  [4510,] 1.771232e-05 1.793018e-05 1.611013e-05 1.926441e-05 3.578142e-05 #>  [4511,] 1.237886e-05 1.261749e-05 1.395235e-05 1.393443e-05 1.392210e-05 #>  [4512,] 3.912288e-05 3.649581e-05 2.243485e-05 2.482129e-05 2.458719e-05 #>  [4513,] 7.190504e-05 1.413091e-04 2.363686e-04 2.143462e-04 1.869019e-04 #>  [4514,] 2.118441e-05 3.111053e-05 1.331398e-04 9.654984e-05 7.498657e-05 #>  [4515,] 1.219309e-05 1.185553e-05 1.369390e-05 1.418745e-05 1.490419e-05 #>  [4516,] 4.215257e-05 4.252386e-05 2.721090e-05 2.765316e-05 3.578636e-05 #>  [4517,] 1.220559e-05 1.216793e-05 1.428069e-05 1.605155e-05 1.544591e-05 #>  [4518,] 1.269378e-05 1.264984e-05 1.295917e-05 1.484499e-05 1.534641e-05 #>  [4519,] 1.146025e-05 1.192428e-05 1.213080e-05 1.256919e-05 1.201741e-05 #>  [4520,] 1.474329e-05 1.477667e-05 1.596338e-05 1.692581e-05 1.545805e-05 #>  [4521,] 1.748177e-05 1.977982e-05 2.379893e-05 1.901435e-05 1.797792e-05 #>  [4522,] 1.254055e-05 1.182873e-05 1.125804e-05 1.069433e-05 1.088731e-05 #>  [4523,] 1.239767e-05 1.258204e-05 1.483204e-05 1.502670e-05 1.425718e-05 #>  [4524,] 1.709773e-05 1.538943e-05 1.480748e-05 1.462718e-05 1.426892e-05 #>  [4525,] 1.241009e-05 1.232640e-05 1.314359e-05 1.470920e-05 1.573809e-05 #>  [4526,] 2.218579e-05 1.955392e-05 1.536983e-05 1.643206e-05 1.587233e-05 #>  [4527,] 1.227627e-05 1.266213e-05 1.515050e-05 1.575225e-05 1.715441e-05 #>  [4528,] 1.489469e-04 1.200675e-04 6.251275e-05 1.124539e-04 4.410715e-04 #>  [4529,] 1.189964e-05 1.259111e-05 1.346888e-05 1.379196e-05 1.334885e-05 #>  [4530,] 3.201956e-05 3.464812e-05 3.511465e-05 4.424036e-05 6.599709e-05 #>  [4531,] 3.130267e-05 3.934135e-05 2.608680e-05 3.308027e-05 4.139981e-05 #>  [4532,] 1.368771e-05 1.328363e-05 1.527698e-05 1.562530e-05 1.649525e-05 #>  [4533,] 1.291036e-05 1.232570e-05 1.255017e-05 1.494379e-05 1.483366e-05 #>  [4534,] 1.947727e-05 1.835277e-05 2.800346e-05 3.521357e-05 4.026492e-05 #>  [4535,] 1.207051e-05 1.179682e-05 1.381890e-05 1.574858e-05 1.544690e-05 #>  [4536,] 2.740158e-05 3.057455e-05 2.362699e-05 1.983406e-05 2.018139e-05 #>  [4537,] 1.764060e-05 1.789784e-05 2.053845e-05 2.261372e-05 2.710454e-05 #>  [4538,] 8.341742e-05 7.916605e-05 7.165886e-05 8.656614e-05 7.965107e-05 #>  [4539,] 1.201961e-05 1.209597e-05 1.177966e-05 1.194070e-05 1.196688e-05 #>  [4540,] 1.403343e-05 1.374089e-05 1.470979e-05 1.840578e-05 2.783280e-05 #>  [4541,] 1.965043e-05 1.942104e-05 2.270721e-05 2.926203e-05 4.135346e-05 #>  [4542,] 1.424498e-05 1.531924e-05 1.990236e-05 2.145326e-05 3.882697e-05 #>  [4543,] 1.187214e-05 1.233859e-05 1.209012e-05 1.232736e-05 1.224521e-05 #>  [4544,] 3.310244e-05 2.732905e-05 1.606378e-05 2.161298e-05 1.963748e-05 #>  [4545,] 1.696931e-05 1.994701e-05 1.708248e-05 1.593653e-05 1.682650e-05 #>  [4546,] 1.229384e-05 1.266863e-05 1.402788e-05 1.552558e-05 1.537776e-05 #>  [4547,] 1.836318e-05 1.797599e-05 1.597440e-05 1.678180e-05 1.703278e-05 #>  [4548,] 1.141885e-05 1.169085e-05 1.165059e-05 1.189475e-05 1.212038e-05 #>  [4549,] 1.751511e-05 1.721783e-05 1.785039e-05 2.149407e-05 2.380918e-05 #>  [4550,] 1.573749e-05 1.569943e-05 1.579175e-05 1.654960e-05 1.619398e-05 #>  [4551,] 1.509974e-05 1.803341e-05 2.936400e-05 2.733717e-05 3.396382e-05 #>  [4552,] 1.153254e-05 1.332093e-05 1.942685e-05 1.629904e-05 1.832820e-05 #>  [4553,] 1.533672e-05 1.452136e-05 1.637061e-05 1.679712e-05 1.600314e-05 #>  [4554,] 1.214701e-05 1.193551e-05 1.156416e-05 1.200259e-05 1.137436e-05 #>  [4555,] 1.279162e-05 1.482045e-05 1.396981e-05 1.267192e-05 1.608328e-05 #>  [4556,] 1.487133e-05 1.466631e-05 1.547710e-05 1.634156e-05 1.493434e-05 #>  [4557,] 1.370144e-05 1.470203e-05 1.460247e-05 1.551891e-05 1.655741e-05 #>  [4558,] 2.149116e-05 2.622783e-05 2.351246e-05 2.988924e-05 2.658789e-05 #>  [4559,] 6.199372e-05 6.306874e-05 2.886093e-05 2.243533e-05 1.971034e-05 #>  [4560,] 1.333863e-05 1.473452e-05 2.181063e-05 2.071210e-05 1.966535e-05 #>  [4561,] 1.170770e-05 1.241243e-05 1.378836e-05 1.482115e-05 1.603458e-05 #>  [4562,] 2.389727e-05 3.506044e-05 7.772169e-05 6.139501e-05 2.009211e-05 #>  [4563,] 2.000292e-05 1.716242e-05 2.636383e-05 3.772799e-05 3.951677e-05 #>  [4564,] 1.128059e-05 1.216053e-05 1.220066e-05 1.228778e-05 1.200602e-05 #>  [4565,] 1.337682e-05 1.528505e-05 1.617396e-05 1.557487e-05 1.761484e-05 #>  [4566,] 1.162189e-05 1.131426e-05 1.336360e-05 1.341715e-05 1.462304e-05 #>  [4567,] 1.682048e-05 2.449533e-05 4.815142e-05 6.020481e-05 8.373735e-05 #>  [4568,] 1.388982e-05 1.287357e-05 1.391204e-05 1.457031e-05 1.477540e-05 #>  [4569,] 1.216419e-05 1.310885e-05 1.352553e-05 1.452819e-05 1.507926e-05 #>  [4570,] 1.392089e-05 1.433230e-05 1.359206e-05 1.535900e-05 1.621115e-05 #>  [4571,] 1.421394e-05 1.388296e-05 1.514400e-05 1.555524e-05 1.476600e-05 #>  [4572,] 4.204776e-05 5.054048e-05 3.731192e-05 4.504115e-05 5.063186e-05 #>  [4573,] 1.281623e-05 1.339180e-05 1.391485e-05 1.319551e-05 1.439363e-05 #>  [4574,] 1.184278e-05 1.144222e-05 1.268853e-05 1.372718e-05 1.464806e-05 #>  [4575,] 1.298606e-05 1.359414e-05 1.939883e-05 1.636499e-05 1.541225e-05 #>  [4576,] 1.190149e-05 1.244616e-05 1.426000e-05 1.447289e-05 1.610368e-05 #>  [4577,] 1.591403e-05 1.853096e-05 1.464384e-05 1.440337e-05 1.510362e-05 #>  [4578,] 1.175318e-05 1.108331e-05 1.226750e-05 1.370341e-05 1.532756e-05 #>  [4579,] 1.316051e-05 1.482224e-05 1.776602e-05 1.602119e-05 1.677996e-05 #>  [4580,] 1.113479e-05 1.099713e-05 1.296936e-05 1.236269e-05 1.188352e-05 #>  [4581,] 1.503143e-05 1.553884e-05 1.569581e-05 1.575012e-05 1.651715e-05 #>  [4582,] 1.324732e-05 1.929906e-05 2.770236e-05 2.702646e-05 5.048695e-05 #>  [4583,] 1.570765e-05 1.986159e-05 3.546150e-05 3.558959e-05 3.502638e-05 #>  [4584,] 1.152236e-05 1.145193e-05 1.254014e-05 1.206014e-05 1.291806e-05 #>  [4585,] 1.086333e-05 1.129380e-05 1.189711e-05 1.218657e-05 1.193619e-05 #>  [4586,] 2.845213e-05 2.735575e-05 1.730273e-05 1.743766e-05 1.552538e-05 #>  [4587,] 1.493254e-05 1.537850e-05 1.796994e-05 1.874469e-05 1.590988e-05 #>  [4588,] 3.513141e-05 2.494583e-05 2.712230e-05 2.411202e-05 2.594881e-05 #>  [4589,] 1.475743e-05 1.668028e-05 1.887866e-05 1.694059e-05 1.674397e-05 #>  [4590,] 1.252216e-05 1.178884e-05 1.401436e-05 1.556796e-05 1.636828e-05 #>  [4591,] 4.214085e-05 7.432787e-05 1.382069e-04 1.799714e-04 1.144862e-04 #>  [4592,] 2.456094e-04 2.239171e-04 1.578638e-04 1.779048e-04 1.446506e-04 #>  [4593,] 2.134906e-05 2.148877e-05 2.588038e-05 2.397877e-05 2.505803e-05 #>  [4594,] 1.506719e-05 1.325832e-05 1.788470e-05 1.597912e-05 1.447757e-05 #>  [4595,] 3.749783e-05 3.835620e-05 4.466276e-05 7.558563e-05 1.503979e-04 #>  [4596,] 1.359603e-05 1.233814e-05 1.254322e-05 1.258788e-05 1.282488e-05 #>  [4597,] 1.097217e-05 1.122507e-05 1.188563e-05 1.107645e-05 1.230037e-05 #>  [4598,] 1.545491e-05 2.239125e-05 2.020947e-05 2.281620e-05 2.785441e-05 #>  [4599,] 1.424974e-05 1.391385e-05 1.295280e-05 1.464572e-05 1.813691e-05 #>  [4600,] 1.433266e-05 1.184363e-05 1.187786e-05 1.417020e-05 1.608318e-05 #>  [4601,] 1.248799e-05 1.315513e-05 1.325259e-05 1.395430e-05 1.337535e-05 #>  [4602,] 7.497345e-05 1.171816e-04 4.580302e-05 3.537865e-05 2.047478e-05 #>  [4603,] 1.075471e-05 1.059235e-05 1.072490e-05 1.109837e-05 1.130826e-05 #>  [4604,] 1.357830e-05 1.517310e-05 1.931033e-05 2.362850e-05 2.277048e-05 #>  [4605,] 1.635160e-05 1.717354e-05 1.531530e-05 1.682051e-05 1.703601e-05 #>  [4606,] 1.215820e-05 1.368895e-05 1.402525e-05 1.405843e-05 1.508901e-05 #>  [4607,] 1.179106e-05 1.210580e-05 1.352541e-05 1.259002e-05 1.430437e-05 #>  [4608,] 1.355568e-05 1.432179e-05 1.739364e-05 1.728536e-05 1.688406e-05 #>  [4609,] 1.686907e-05 1.984343e-05 1.467286e-05 1.461026e-05 1.534101e-05 #>  [4610,] 6.504975e-05 7.752400e-05 1.229535e-04 2.135067e-04 2.874973e-04 #>  [4611,] 3.323401e-05 1.946326e-05 2.929839e-05 2.426959e-05 1.760997e-05 #>  [4612,] 6.407856e-05 1.302750e-05 1.420113e-05 1.456210e-05 1.619889e-05 #>  [4613,] 1.628511e-05 1.769809e-05 1.542921e-05 1.759552e-05 1.819816e-05 #>  [4614,] 1.243161e-05 1.179805e-05 1.262033e-05 1.381958e-05 1.357033e-05 #>  [4615,] 1.263316e-05 1.204292e-05 1.336170e-05 1.442143e-05 1.530950e-05 #>  [4616,] 1.337486e-05 1.455303e-05 1.595127e-05 1.445673e-05 1.476169e-05 #>  [4617,] 1.257837e-05 1.240689e-05 1.229425e-05 1.436768e-05 1.386526e-05 #>  [4618,] 1.435389e-05 1.498446e-05 1.257296e-05 1.300095e-05 1.316628e-05 #>  [4619,] 1.399994e-05 1.460737e-05 1.748826e-05 1.626397e-05 1.555686e-05 #>  [4620,] 8.470224e-04 7.588707e-04 9.640303e-04 6.455524e-04 5.400535e-04 #>  [4621,] 1.403550e-05 1.803492e-05 2.164918e-05 1.804653e-05 2.484983e-05 #>  [4622,] 4.742894e-05 8.399759e-05 1.011612e-04 7.032211e-05 7.877215e-05 #>  [4623,] 3.522597e-04 3.408871e-04 5.658056e-04 7.017807e-04 6.937480e-04 #>  [4624,] 2.001166e-05 2.317759e-05 6.343059e-05 5.297089e-05 4.424765e-05 #>  [4625,] 4.412254e-04 2.314278e-04 1.844586e-04 2.511890e-04 1.477900e-04 #>  [4626,] 1.167527e-05 1.247354e-05 1.239036e-05 1.165218e-05 1.214018e-05 #>  [4627,] 4.988172e-05 3.053156e-05 1.509875e-05 1.640153e-05 1.736940e-05 #>  [4628,] 1.277403e-05 1.267899e-05 1.386339e-05 1.467779e-05 1.565506e-05 #>  [4629,] 1.769323e-05 1.673099e-05 2.270387e-05 2.126897e-05 3.153500e-05 #>  [4630,] 2.069206e-05 1.821139e-05 1.843271e-05 1.739413e-05 1.864545e-05 #>  [4631,] 1.262752e-05 1.207956e-05 1.255989e-05 1.285108e-05 1.271780e-05 #>  [4632,] 1.410034e-05 1.354804e-05 1.446053e-05 1.404205e-05 1.457660e-05 #>  [4633,] 2.579588e-04 2.232994e-04 3.136051e-04 2.380433e-04 2.071987e-04 #>  [4634,] 1.965039e-05 1.795437e-05 2.127090e-05 2.231892e-05 1.815203e-05 #>  [4635,] 1.646081e-05 1.492245e-05 1.568806e-05 1.653250e-05 1.539460e-05 #>  [4636,] 1.231541e-05 1.270601e-05 1.344468e-05 1.347967e-05 1.494111e-05 #>  [4637,] 4.551755e-05 3.381506e-05 2.485354e-05 2.271702e-05 2.234743e-05 #>  [4638,] 1.175351e-05 1.073162e-05 1.379088e-05 1.557254e-05 1.466582e-05 #>  [4639,] 1.119254e-04 6.143997e-05 9.479345e-05 8.775313e-05 9.891545e-05 #>  [4640,] 2.168810e-05 2.241745e-05 1.686683e-05 1.542670e-05 1.701342e-05 #>  [4641,] 1.069025e-05 1.133247e-05 1.256567e-05 1.131331e-05 1.077611e-05 #>  [4642,] 2.762227e-05 2.089996e-05 1.424830e-05 1.355127e-05 1.425891e-05 #>  [4643,] 1.682939e-05 1.650745e-05 1.749913e-05 1.695086e-05 1.790629e-05 #>  [4644,] 2.828722e-05 4.565595e-05 1.399898e-04 1.410862e-04 2.128952e-04 #>  [4645,] 1.317603e-05 1.378075e-05 1.381755e-05 1.425896e-05 1.388701e-05 #>  [4646,] 1.577809e-05 1.539151e-05 1.536965e-05 1.664573e-05 1.629764e-05 #>  [4647,] 1.366180e-05 1.338905e-05 1.640056e-05 1.513256e-05 1.420313e-05 #>  [4648,] 1.140544e-05 1.248257e-05 1.414840e-05 1.422881e-05 1.511659e-05 #>  [4649,] 1.475436e-05 1.541698e-05 1.540329e-05 1.643772e-05 1.674497e-05 #>  [4650,] 3.426010e-05 4.320023e-05 1.598318e-05 1.905039e-05 2.072821e-05 #>  [4651,] 1.528894e-05 1.519277e-05 2.186815e-05 2.567096e-05 1.827245e-05 #>  [4652,] 5.856073e-05 4.170490e-05 2.247977e-05 3.197798e-05 5.676374e-05 #>  [4653,] 1.283827e-05 1.354682e-05 1.370533e-05 1.480236e-05 1.436791e-05 #>  [4654,] 7.768903e-05 1.784976e-04 3.252076e-04 2.410285e-04 1.346700e-04 #>  [4655,] 8.391948e-05 4.431271e-05 7.803172e-05 1.087900e-04 1.613355e-04 #>  [4656,] 1.558723e-05 1.508943e-05 1.628665e-05 1.723759e-05 1.605723e-05 #>  [4657,] 1.232517e-05 1.130998e-05 1.210372e-05 1.441393e-05 1.509471e-05 #>  [4658,] 1.304578e-05 1.337305e-05 1.420073e-05 1.449799e-05 1.673309e-05 #>  [4659,] 1.320246e-05 1.268099e-05 1.437536e-05 1.459087e-05 1.409842e-05 #>  [4660,] 1.458316e-05 1.395646e-05 1.614204e-05 1.533044e-05 1.418612e-05 #>  [4661,] 2.757094e-05 4.052248e-05 1.986433e-05 1.236094e-05 1.195894e-05 #>  [4662,] 3.935364e-05 4.794392e-05 2.041669e-05 1.556415e-05 1.376125e-05 #>  [4663,] 2.313277e-05 2.326026e-05 3.036530e-05 4.150945e-05 3.891722e-05 #>  [4664,] 1.258410e-05 1.282809e-05 1.405088e-05 1.552608e-05 1.445998e-05 #>  [4665,] 1.331469e-05 1.367818e-05 1.556893e-05 1.666151e-05 1.655621e-05 #>  [4666,] 2.781905e-05 2.066278e-05 2.722960e-05 1.716110e-05 1.751290e-05 #>  [4667,] 2.631552e-05 2.962935e-05 2.661199e-05 2.336088e-05 6.071176e-05 #>  [4668,] 1.667174e-05 2.024947e-05 3.051637e-05 2.761773e-05 2.056205e-05 #>  [4669,] 1.350572e-05 1.408163e-05 1.583632e-05 1.529334e-05 1.463773e-05 #>  [4670,] 1.131026e-05 1.105861e-05 1.098357e-05 1.157792e-05 1.111136e-05 #>  [4671,] 1.471778e-05 1.480082e-05 1.316799e-05 1.486779e-05 1.483135e-05 #>  [4672,] 1.398096e-05 1.264203e-05 1.300478e-05 1.468843e-05 1.692498e-05 #>  [4673,] 7.280307e-05 1.071182e-04 6.602216e-05 5.678831e-05 6.969197e-05 #>  [4674,] 3.380263e-05 3.448822e-05 1.980401e-05 1.825138e-05 2.326366e-05 #>  [4675,] 1.416488e-05 1.456778e-05 1.855582e-05 1.688402e-05 1.697556e-05 #>  [4676,] 1.411042e-05 1.388627e-05 1.502105e-05 1.446539e-05 1.541183e-05 #>  [4677,] 1.160688e-05 1.236526e-05 1.162936e-05 1.218923e-05 1.229405e-05 #>  [4678,] 1.255235e-05 1.205468e-05 1.395615e-05 1.560244e-05 1.517783e-05 #>  [4679,] 5.334102e-05 4.263408e-05 2.548010e-05 2.538333e-05 2.823462e-05 #>  [4680,] 2.793490e-04 2.382295e-04 3.342720e-04 3.886545e-04 3.246928e-04 #>  [4681,] 2.276596e-05 2.975615e-05 2.093226e-05 2.643971e-05 2.887038e-05 #>  [4682,] 1.708973e-05 2.405263e-05 5.206209e-05 5.178503e-05 2.515718e-05 #>  [4683,] 1.764174e-05 1.423515e-05 1.662937e-05 1.854887e-05 1.866340e-05 #>  [4684,] 1.662385e-04 2.044864e-04 3.757488e-04 3.232316e-04 2.771562e-04 #>  [4685,] 5.968169e-05 6.882594e-05 1.500439e-04 1.405146e-04 8.676436e-05 #>  [4686,] 1.301231e-05 1.332385e-05 1.658375e-05 1.489625e-05 1.478698e-05 #>  [4687,] 4.655892e-05 8.971300e-05 6.553490e-05 6.534439e-05 6.043652e-05 #>  [4688,] 1.247970e-05 1.311683e-05 1.904197e-05 2.051968e-05 2.385321e-05 #>  [4689,] 1.496491e-05 1.392155e-05 1.425224e-05 1.581364e-05 1.691862e-05 #>  [4690,] 1.310338e-05 1.294879e-05 1.306210e-05 1.508679e-05 1.598767e-05 #>  [4691,] 1.266663e-05 1.327718e-05 1.484645e-05 1.638994e-05 1.800580e-05 #>  [4692,] 1.623095e-05 1.542836e-05 1.723310e-05 1.796201e-05 1.742084e-05 #>  [4693,] 1.648643e-05 2.191342e-05 2.039151e-05 1.772820e-05 1.887883e-05 #>  [4694,] 7.133980e-05 6.723287e-05 6.432504e-05 6.324744e-05 6.344879e-05 #>  [4695,] 1.718976e-05 1.975347e-05 1.524738e-05 1.507927e-05 1.504775e-05 #>  [4696,] 1.569477e-05 1.604669e-05 1.203745e-05 1.299760e-05 1.317857e-05 #>  [4697,] 1.604060e-05 1.672934e-05 1.668701e-05 1.746459e-05 1.687546e-05 #>  [4698,] 2.493698e-05 2.198325e-05 2.070252e-05 2.397596e-05 2.621851e-05 #>  [4699,] 1.353040e-05 1.426243e-05 1.962805e-05 1.917453e-05 1.919469e-05 #>  [4700,] 2.801814e-05 2.746247e-05 4.556032e-05 6.563698e-05 5.749262e-05 #>  [4701,] 1.334872e-05 1.350835e-05 1.529892e-05 1.474189e-05 1.451505e-05 #>  [4702,] 1.426241e-05 1.683636e-05 1.511976e-05 1.667671e-05 1.507377e-05 #>  [4703,] 1.292751e-05 1.343666e-05 1.687525e-05 1.818470e-05 2.225352e-05 #>  [4704,] 7.362890e-05 1.230477e-04 8.842007e-05 1.114368e-04 9.427748e-05 #>  [4705,] 2.098827e-05 2.612260e-05 2.020868e-05 2.086181e-05 2.188407e-05 #>  [4706,] 1.053976e-04 5.253411e-05 4.344875e-05 3.114157e-05 2.000218e-05 #>  [4707,] 1.545558e-05 1.500083e-05 1.347775e-05 1.588254e-05 1.454085e-05 #>  [4708,] 1.470832e-05 1.417941e-05 1.668210e-05 2.071298e-05 1.935712e-05 #>  [4709,] 1.240497e-05 1.503009e-05 1.820761e-05 1.837202e-05 1.773053e-05 #>  [4710,] 1.295923e-05 1.296278e-05 1.330226e-05 1.339706e-05 1.391481e-05 #>  [4711,] 1.370168e-05 1.428485e-05 1.635757e-05 1.758652e-05 1.723827e-05 #>  [4712,] 1.194841e-05 1.252725e-05 1.191110e-05 1.263849e-05 1.179456e-05 #>  [4713,] 2.632599e-05 2.870455e-05 1.292835e-05 1.461479e-05 1.423134e-05 #>  [4714,] 3.073953e-04 3.810993e-04 6.843904e-04 8.246716e-04 7.408228e-04 #>  [4715,] 1.096255e-05 1.256172e-05 1.255778e-05 1.336946e-05 1.327777e-05 #>  [4716,] 1.194293e-05 1.138542e-05 1.206625e-05 1.287999e-05 1.368827e-05 #>  [4717,] 1.419011e-05 1.476742e-05 1.533813e-05 1.673132e-05 1.733971e-05 #>  [4718,] 1.265173e-05 1.389254e-05 1.553705e-05 1.459142e-05 1.501754e-05 #>  [4719,] 1.124617e-05 1.054781e-05 1.146478e-05 1.113251e-05 1.132459e-05 #>  [4720,] 1.497357e-05 2.045370e-05 3.377182e-05 3.920680e-05 7.162038e-05 #>  [4721,] 1.400161e-05 1.392481e-05 1.746121e-05 1.828357e-05 1.800150e-05 #>  [4722,] 1.460088e-05 1.502653e-05 1.580250e-05 1.763477e-05 1.669870e-05 #>  [4723,] 1.160038e-05 1.268593e-05 1.228132e-05 1.261678e-05 1.283490e-05 #>  [4724,] 1.443484e-04 1.637706e-04 1.701331e-04 1.782729e-04 1.356260e-04 #>  [4725,] 1.021443e-04 9.099298e-05 1.597508e-04 8.065742e-05 1.056927e-04 #>  [4726,] 1.116609e-05 1.069851e-05 1.026392e-05 1.133581e-05 1.151754e-05 #>  [4727,] 1.416470e-05 1.467634e-05 1.457180e-05 1.660761e-05 1.749315e-05 #>  [4728,] 1.634164e-05 1.579347e-05 1.799315e-05 1.575752e-05 1.517823e-05 #>  [4729,] 1.632583e-05 1.555238e-05 1.622547e-05 1.919677e-05 2.505424e-05 #>  [4730,] 1.266662e-05 1.218646e-05 1.321553e-05 1.229655e-05 1.275206e-05 #>  [4731,] 2.016558e-05 2.156866e-05 2.857918e-05 2.837924e-05 3.436750e-05 #>  [4732,] 2.201227e-05 2.597915e-05 3.360789e-05 3.622876e-05 2.853806e-05 #>  [4733,] 1.676612e-05 1.874555e-05 1.876442e-05 1.977868e-05 1.879767e-05 #>  [4734,] 7.118894e-05 7.773285e-05 1.335195e-04 1.324928e-04 9.670495e-05 #>  [4735,] 1.155058e-05 1.162535e-05 1.241943e-05 1.331431e-05 1.436039e-05 #>  [4736,] 1.610763e-05 1.930907e-05 2.445951e-05 2.227087e-05 2.122408e-05 #>  [4737,] 1.402312e-05 1.296694e-05 1.564431e-05 1.464737e-05 1.491668e-05 #>  [4738,] 1.537733e-05 1.717659e-05 1.895127e-05 1.622350e-05 1.631941e-05 #>  [4739,] 1.889804e-05 2.582702e-05 4.795890e-05 4.860822e-05 5.936769e-05 #>  [4740,] 1.156962e-05 1.176361e-05 1.276875e-05 1.223648e-05 1.232042e-05 #>  [4741,] 1.295292e-05 1.355136e-05 1.425138e-05 1.349267e-05 1.440473e-05 #>  [4742,] 1.197611e-05 1.183947e-05 1.301829e-05 1.383519e-05 1.508949e-05 #>  [4743,] 1.907354e-05 1.925375e-05 1.711031e-05 1.604282e-05 1.737375e-05 #>  [4744,] 2.504939e-05 3.002553e-05 1.638935e-05 1.453187e-05 1.728051e-05 #>  [4745,] 1.482682e-05 1.421258e-05 1.329859e-05 1.305343e-05 1.272983e-05 #>  [4746,] 2.345904e-05 2.292778e-05 2.688609e-05 2.814008e-05 3.378511e-05 #>  [4747,] 1.379788e-05 1.370063e-05 1.547776e-05 1.462565e-05 1.561371e-05 #>  [4748,] 2.991550e-05 7.595498e-05 2.635873e-04 2.318178e-04 6.033915e-04 #>  [4749,] 8.925476e-05 9.067854e-05 1.125992e-04 1.536348e-04 1.884874e-04 #>  [4750,] 1.377802e-05 1.354219e-05 1.554101e-05 1.569485e-05 1.592478e-05 #>  [4751,] 1.958533e-05 2.827038e-05 3.078194e-05 1.939801e-05 1.914701e-05 #>  [4752,] 1.342737e-05 1.633931e-05 1.267863e-05 1.271294e-05 1.254943e-05 #>  [4753,] 1.304878e-05 1.266258e-05 1.435564e-05 1.511999e-05 1.393015e-05 #>  [4754,] 1.580586e-05 2.442365e-05 4.984607e-05 4.220489e-05 6.212235e-05 #>  [4755,] 1.382966e-05 1.329301e-05 1.640004e-05 1.607174e-05 2.084039e-05 #>  [4756,] 1.397328e-05 1.362423e-05 1.324712e-05 1.308729e-05 1.325725e-05 #>  [4757,] 8.398601e-05 5.843539e-05 5.025725e-05 7.350921e-05 7.351191e-05 #>  [4758,] 1.935441e-05 2.006705e-05 2.010437e-05 2.194239e-05 2.060105e-05 #>  [4759,] 1.239342e-05 1.286278e-05 1.407795e-05 1.497413e-05 1.472016e-05 #>  [4760,] 1.248244e-05 1.249345e-05 1.356916e-05 1.344523e-05 1.493632e-05 #>  [4761,] 1.264614e-05 1.393552e-05 1.778986e-05 1.423348e-05 1.433908e-05 #>  [4762,] 1.107006e-05 1.335848e-05 1.278084e-05 1.210844e-05 1.198236e-05 #>  [4763,] 1.105113e-05 1.085518e-05 1.155087e-05 1.259297e-05 1.170441e-05 #>  [4764,] 1.221713e-05 1.096748e-05 1.191501e-05 1.353359e-05 1.390116e-05 #>  [4765,] 3.998778e-05 2.867208e-05 2.087085e-05 2.337447e-05 2.141253e-05 #>  [4766,] 1.379274e-05 1.538000e-05 1.748964e-05 1.559468e-05 1.632530e-05 #>  [4767,] 2.139778e-05 2.107531e-05 2.391328e-05 2.496216e-05 2.332848e-05 #>  [4768,] 5.493580e-05 3.801661e-05 3.094238e-05 3.520174e-05 2.891642e-05 #>  [4769,] 1.556823e-05 1.655067e-05 1.541841e-05 1.489518e-05 1.505238e-05 #>  [4770,] 1.361740e-05 1.394238e-05 1.491445e-05 1.540169e-05 1.410585e-05 #>  [4771,] 1.282670e-05 1.333518e-05 1.488240e-05 1.578846e-05 1.471289e-05 #>  [4772,] 1.559714e-05 1.526960e-05 1.592688e-05 1.624904e-05 1.443719e-05 #>  [4773,] 1.371775e-05 1.480636e-05 1.555457e-05 1.656857e-05 1.574966e-05 #>  [4774,] 1.487340e-05 1.658756e-05 1.802773e-05 1.694660e-05 1.569582e-05 #>  [4775,] 1.029214e-05 1.042820e-05 1.116591e-05 1.087631e-05 1.050627e-05 #>  [4776,] 1.096529e-05 1.166041e-05 1.184968e-05 1.251886e-05 1.335644e-05 #>  [4777,] 1.603019e-05 1.695733e-05 1.190606e-05 1.437704e-05 1.607042e-05 #>  [4778,] 3.918681e-04 4.834730e-04 6.143105e-04 5.800948e-04 3.914614e-04 #>  [4779,] 1.283951e-05 1.293651e-05 1.496781e-05 2.387771e-05 1.725949e-05 #>  [4780,] 3.079594e-05 2.978338e-05 3.173625e-05 3.733402e-05 4.578496e-05 #>  [4781,] 1.526177e-05 1.761902e-05 1.730174e-05 1.632475e-05 1.719505e-05 #>  [4782,] 1.945834e-05 2.048778e-05 1.881147e-05 2.085836e-05 2.266802e-05 #>  [4783,] 1.396008e-05 1.379580e-05 1.238559e-05 1.246766e-05 1.230019e-05 #>  [4784,] 1.173019e-05 1.227042e-05 1.332039e-05 1.492662e-05 1.433024e-05 #>  [4785,] 1.942367e-05 1.870344e-05 2.031197e-05 2.076988e-05 1.900429e-05 #>  [4786,] 1.173146e-05 1.387831e-05 1.413532e-05 1.494697e-05 1.535762e-05 #>  [4787,] 3.138929e-05 1.785750e-05 1.522021e-05 1.562443e-05 1.490465e-05 #>  [4788,] 2.017175e-05 2.878670e-05 4.891833e-05 4.030123e-05 2.780602e-05 #>  [4789,] 1.185126e-05 1.218656e-05 1.316464e-05 1.611858e-05 1.848227e-05 #>  [4790,] 1.444732e-05 1.208639e-05 1.286435e-05 1.609838e-05 1.673364e-05 #>  [4791,] 1.424110e-05 1.307182e-05 1.394246e-05 1.503430e-05 1.565912e-05 #>  [4792,] 1.366467e-05 1.425733e-05 1.433930e-05 1.450411e-05 1.512364e-05 #>  [4793,] 1.666925e-05 2.076107e-05 2.095214e-05 1.806619e-05 1.907921e-05 #>  [4794,] 1.811513e-05 1.591922e-05 2.379498e-05 2.646327e-05 3.187768e-05 #>  [4795,] 4.182327e-05 3.831608e-05 7.795267e-05 7.000701e-05 1.580399e-04 #>  [4796,] 1.614332e-05 1.699382e-05 1.740224e-05 1.597264e-05 1.698386e-05 #>  [4797,] 1.294791e-05 1.262608e-05 1.317368e-05 1.476065e-05 1.533547e-05 #>  [4798,] 1.602278e-05 1.709396e-05 2.382616e-05 2.439591e-05 3.668494e-05 #>  [4799,] 1.193178e-05 1.251608e-05 1.325104e-05 1.300631e-05 1.402677e-05 #>  [4800,] 1.395439e-05 1.344163e-05 1.618700e-05 1.642815e-05 1.689924e-05 #>  [4801,] 1.095644e-05 1.169993e-05 1.192805e-05 1.196506e-05 1.218596e-05 #>  [4802,] 1.184051e-05 1.410676e-05 1.553045e-05 1.399898e-05 1.453062e-05 #>  [4803,] 1.034651e-05 9.771380e-06 1.069131e-05 1.096141e-05 1.063280e-05 #>  [4804,] 1.680737e-05 1.446535e-05 1.368024e-05 1.317472e-05 1.365273e-05 #>  [4805,] 1.448637e-05 1.382607e-05 1.524397e-05 1.442121e-05 1.668786e-05 #>  [4806,] 1.497842e-05 1.446502e-05 2.131540e-05 2.427562e-05 2.170125e-05 #>  [4807,] 1.215527e-05 1.258178e-05 1.369707e-05 1.506614e-05 1.619083e-05 #>  [4808,] 1.170305e-05 1.170737e-05 1.289689e-05 1.171283e-05 1.383380e-05 #>  [4809,] 1.758222e-05 2.438949e-05 1.150491e-04 7.740639e-05 5.741951e-05 #>  [4810,] 1.314453e-05 1.200793e-05 1.294679e-05 1.498269e-05 1.537614e-05 #>  [4811,] 1.753697e-05 1.340077e-05 1.522449e-05 1.486904e-05 1.487277e-05 #>  [4812,] 1.415610e-05 1.417599e-05 1.677198e-05 1.558118e-05 1.570120e-05 #>  [4813,] 1.557937e-05 1.722998e-05 1.905606e-05 2.131030e-05 2.124576e-05 #>  [4814,] 1.587575e-05 1.424713e-05 1.572691e-05 1.669392e-05 1.670800e-05 #>  [4815,] 1.407230e-05 1.444706e-05 1.735060e-05 1.611949e-05 1.886312e-05 #>  [4816,] 3.986738e-05 3.931771e-05 3.694447e-05 3.380615e-05 7.200642e-05 #>  [4817,] 1.407216e-05 1.570594e-05 1.711755e-05 1.783861e-05 1.768302e-05 #>  [4818,] 7.581663e-05 1.427415e-04 2.891047e-04 1.878610e-04 1.404431e-04 #>  [4819,] 6.983415e-05 8.818897e-05 9.351131e-05 9.190023e-05 9.100347e-05 #>  [4820,] 1.351811e-05 1.353119e-05 1.517688e-05 1.673251e-05 1.561603e-05 #>  [4821,] 1.841157e-05 1.774229e-05 1.933302e-05 2.048789e-05 2.022980e-05 #>  [4822,] 2.949717e-05 6.070351e-05 1.491514e-04 1.320319e-04 1.721976e-04 #>  [4823,] 3.009544e-05 3.962963e-05 2.225764e-05 2.996759e-05 3.255047e-05 #>  [4824,] 2.743668e-04 2.968911e-04 1.516102e-04 9.951023e-05 1.139928e-04 #>  [4825,] 1.076269e-05 1.019211e-05 1.162104e-05 1.148458e-05 1.234100e-05 #>  [4826,] 6.456220e-05 8.983505e-05 1.705788e-04 1.270445e-04 1.668115e-04 #>  [4827,] 1.169974e-05 1.348494e-05 1.391849e-05 1.232120e-05 1.258020e-05 #>  [4828,] 5.225293e-05 5.976416e-05 7.516566e-05 8.201483e-05 7.883493e-05 #>  [4829,] 3.614226e-05 1.578463e-05 1.512859e-05 1.444171e-05 1.515713e-05 #>  [4830,] 2.414543e-05 2.887779e-05 2.683278e-05 3.200333e-05 3.064319e-05 #>  [4831,] 1.894133e-05 2.669387e-05 2.162172e-05 1.696728e-05 2.432110e-05 #>  [4832,] 1.310261e-05 1.379471e-05 1.476662e-05 1.403431e-05 1.313602e-05 #>  [4833,] 1.181201e-05 1.247170e-05 1.356714e-05 1.488003e-05 1.508059e-05 #>  [4834,] 1.205957e-05 1.212550e-05 1.173715e-05 1.330366e-05 1.265789e-05 #>  [4835,] 3.425205e-05 3.461719e-05 4.190603e-05 4.229593e-05 4.497882e-05 #>  [4836,] 9.935027e-05 1.216305e-04 5.859723e-05 6.449610e-05 6.225706e-05 #>  [4837,] 3.238803e-04 3.172941e-04 1.972032e-04 2.819760e-04 7.100621e-04 #>  [4838,] 1.522843e-05 1.673748e-05 1.702809e-05 1.676678e-05 1.790181e-05 #>  [4839,] 3.397185e-05 4.332037e-05 4.440712e-05 5.255025e-05 5.827190e-05 #>  [4840,] 2.051755e-05 1.828183e-05 1.458033e-05 1.562186e-05 1.744055e-05 #>  [4841,] 2.117679e-05 2.328738e-05 2.832307e-05 3.506783e-05 2.738761e-05 #>  [4842,] 1.272509e-05 1.339844e-05 1.483406e-05 1.559044e-05 1.484062e-05 #>  [4843,] 4.495047e-05 4.457580e-05 6.672097e-05 5.599874e-05 9.769896e-05 #>  [4844,] 1.209128e-05 1.161769e-05 1.287118e-05 1.504126e-05 1.401458e-05 #>  [4845,] 1.193124e-05 1.241070e-05 1.298886e-05 1.431932e-05 1.475231e-05 #>  [4846,] 1.327130e-05 1.372207e-05 1.368364e-05 1.412127e-05 1.384467e-05 #>  [4847,] 1.427739e-05 1.325288e-05 1.494105e-05 1.534766e-05 1.384461e-05 #>  [4848,] 3.611695e-05 2.667566e-05 1.695582e-05 1.822014e-05 1.616819e-05 #>  [4849,] 1.359625e-05 1.315128e-05 1.297507e-05 1.314585e-05 1.252801e-05 #>  [4850,] 2.104164e-05 2.212185e-05 2.095746e-05 2.284800e-05 2.809851e-05 #>  [4851,] 1.415777e-05 1.564369e-05 1.529218e-05 1.506573e-05 1.580768e-05 #>  [4852,] 2.647219e-05 6.097637e-05 4.210067e-05 2.631728e-05 1.487847e-05 #>  [4853,] 1.200912e-05 1.254023e-05 1.345197e-05 1.449183e-05 1.961507e-05 #>  [4854,] 1.213285e-05 1.211859e-05 1.282741e-05 1.471885e-05 1.470809e-05 #>  [4855,] 1.386156e-05 1.552085e-05 1.895251e-05 1.684083e-05 1.593359e-05 #>  [4856,] 1.359458e-05 1.519236e-05 1.466329e-05 1.360934e-05 1.353473e-05 #>  [4857,] 1.471533e-05 1.400416e-05 1.522494e-05 1.705387e-05 1.619725e-05 #>  [4858,] 1.318082e-05 1.396744e-05 1.579106e-05 1.708740e-05 1.513864e-05 #>  [4859,] 1.288214e-05 1.244152e-05 1.147021e-05 1.292197e-05 1.315558e-05 #>  [4860,] 1.999646e-05 1.633647e-05 2.265681e-05 3.044263e-05 2.992011e-05 #>  [4861,] 1.783558e-05 1.439550e-05 1.600806e-05 1.449190e-05 1.435124e-05 #>  [4862,] 1.295026e-05 1.274170e-05 1.359765e-05 1.394025e-05 1.434878e-05 #>  [4863,] 1.193880e-05 1.284320e-05 1.441532e-05 1.507933e-05 1.446247e-05 #>  [4864,] 1.307770e-05 1.499473e-05 1.633367e-05 1.604160e-05 1.566319e-05 #>  [4865,] 2.344137e-04 6.591241e-04 5.985526e-04 4.685229e-04 5.179871e-04 #>  [4866,] 1.156381e-04 9.305767e-05 4.942365e-05 5.228603e-05 4.727017e-05 #>  [4867,] 1.339186e-05 1.884939e-05 2.149800e-05 2.001581e-05 3.087046e-05 #>  [4868,] 1.145425e-05 1.175143e-05 1.218052e-05 1.207433e-05 1.196513e-05 #>  [4869,] 1.703686e-05 1.604482e-05 1.850259e-05 1.881878e-05 1.743791e-05 #>  [4870,] 1.433802e-05 1.277119e-05 1.362886e-05 1.326660e-05 1.484567e-05 #>  [4871,] 3.835607e-05 3.751017e-05 5.750146e-05 6.722550e-05 9.764655e-05 #>  [4872,] 1.849160e-05 1.737277e-05 1.728281e-05 1.551733e-05 1.930960e-05 #>  [4873,] 1.858993e-05 2.135119e-05 2.089817e-05 2.236597e-05 2.636031e-05 #>  [4874,] 1.274244e-05 1.320650e-05 1.380416e-05 1.433572e-05 1.407429e-05 #>  [4875,] 1.167224e-05 1.237864e-05 1.224375e-05 1.229173e-05 1.246304e-05 #>  [4876,] 1.261401e-05 1.312309e-05 1.483643e-05 1.457467e-05 1.535630e-05 #>  [4877,] 1.237252e-05 1.370599e-05 1.450021e-05 1.510198e-05 1.522360e-05 #>  [4878,] 3.506248e-05 4.616731e-05 4.934918e-05 3.692604e-05 3.262881e-05 #>  [4879,] 3.007076e-05 2.999791e-05 2.134560e-05 2.368949e-05 2.792267e-05 #>  [4880,] 1.430258e-05 1.792411e-05 2.358550e-05 1.908034e-05 1.934915e-05 #>  [4881,] 1.376802e-05 1.371687e-05 1.610741e-05 1.650845e-05 1.469575e-05 #>  [4882,] 1.469181e-05 1.421874e-05 1.482903e-05 1.576239e-05 1.613452e-05 #>  [4883,] 1.060418e-05 1.269942e-05 1.184369e-05 1.254223e-05 2.525314e-05 #>  [4884,] 1.217062e-05 1.118905e-05 1.206744e-05 1.261338e-05 1.208011e-05 #>  [4885,] 1.155205e-05 1.123533e-05 1.193732e-05 1.265270e-05 1.198811e-05 #>  [4886,] 1.375024e-05 1.370938e-05 1.368077e-05 1.491951e-05 1.518357e-05 #>  [4887,] 1.484176e-05 1.328826e-05 1.503269e-05 1.480960e-05 1.463407e-05 #>  [4888,] 1.387971e-05 1.303270e-05 1.416697e-05 1.467044e-05 1.540011e-05 #>  [4889,] 1.248102e-05 1.203839e-05 1.369441e-05 1.341567e-05 1.358611e-05 #>  [4890,] 1.495780e-05 1.331722e-05 1.371023e-05 1.536318e-05 1.548309e-05 #>  [4891,] 1.549009e-05 1.336467e-05 1.539538e-05 1.820627e-05 2.261971e-05 #>  [4892,] 4.905178e-05 4.866443e-05 2.509138e-05 2.957497e-05 2.852429e-05 #>  [4893,] 1.510354e-05 1.454688e-05 1.760223e-05 1.694090e-05 1.615267e-05 #>  [4894,] 1.348583e-05 1.279110e-05 1.255757e-05 1.434115e-05 1.487921e-05 #>  [4895,] 1.536990e-05 1.408939e-05 1.906132e-05 1.763167e-05 1.860157e-05 #>  [4896,] 1.264554e-05 1.411389e-05 1.577422e-05 1.469331e-05 1.494927e-05 #>  [4897,] 1.255459e-05 1.307837e-05 1.484256e-05 1.513797e-05 1.418739e-05 #>  [4898,] 1.590729e-05 1.648304e-05 1.557069e-05 1.607296e-05 1.514489e-05 #>  [4899,] 1.244296e-05 1.380723e-05 1.500197e-05 1.449543e-05 1.455235e-05 #>  [4900,] 4.814114e-05 2.602964e-05 1.744772e-05 2.159598e-05 2.585500e-05 #>  [4901,] 1.158077e-05 1.069700e-05 1.246972e-05 1.144078e-05 1.280619e-05 #>  [4902,] 1.461789e-05 1.722377e-05 1.605075e-05 1.491044e-05 1.649515e-05 #>  [4903,] 1.310613e-05 1.341740e-05 2.149908e-05 2.365738e-05 1.949192e-05 #>  [4904,] 4.763533e-05 2.749246e-05 3.021771e-05 3.278601e-05 3.442299e-05 #>  [4905,] 1.230419e-05 1.270590e-05 1.383379e-05 1.620870e-05 1.520770e-05 #>  [4906,] 1.398423e-05 1.495755e-05 1.268603e-05 1.185034e-05 1.731776e-05 #>  [4907,] 7.892128e-05 2.492135e-05 2.622517e-05 2.830930e-05 3.830687e-05 #>  [4908,] 1.872831e-05 2.101293e-05 2.208654e-05 2.562214e-05 2.740308e-05 #>  [4909,] 1.453376e-05 1.419340e-05 1.476363e-05 1.537756e-05 1.469595e-05 #>  [4910,] 1.523253e-05 1.585577e-05 1.514395e-05 1.549533e-05 1.559199e-05 #>  [4911,] 1.147872e-05 1.157657e-05 1.252153e-05 1.198648e-05 1.144571e-05 #>  [4912,] 1.311265e-05 1.237971e-05 1.375839e-05 1.605511e-05 1.669122e-05 #>  [4913,] 1.356980e-05 1.439634e-05 1.423533e-05 1.441963e-05 1.444675e-05 #>  [4914,] 2.340631e-05 2.152148e-05 1.854425e-05 1.841787e-05 1.928033e-05 #>  [4915,] 1.238903e-05 1.253511e-05 1.373867e-05 1.376309e-05 1.490761e-05 #>  [4916,] 3.650810e-05 3.438739e-05 3.668144e-05 3.255925e-05 3.651360e-05 #>  [4917,] 1.659015e-05 2.200841e-05 1.814298e-05 1.763579e-05 1.559218e-05 #>  [4918,] 1.416200e-05 1.506449e-05 2.038905e-05 2.277245e-05 2.137211e-05 #>  [4919,] 1.510830e-05 1.955482e-05 3.699174e-05 3.158012e-05 2.824388e-05 #>  [4920,] 1.258064e-05 1.233172e-05 1.309279e-05 1.250967e-05 1.240109e-05 #>  [4921,] 1.054790e-05 9.655297e-06 1.005968e-05 1.072791e-05 1.095566e-05 #>  [4922,] 1.201606e-05 1.311475e-05 1.330791e-05 1.399973e-05 1.300602e-05 #>  [4923,] 2.210142e-05 1.697354e-05 1.869688e-05 1.736556e-05 1.887615e-05 #>  [4924,] 8.955149e-04 9.438390e-04 2.737565e-04 3.223738e-04 4.135794e-04 #>  [4925,] 1.059379e-03 1.071814e-03 1.049537e-03 1.072229e-03 9.181444e-04 #>  [4926,] 1.069300e-04 1.102738e-04 1.191138e-04 1.226970e-04 1.329781e-04 #>  [4927,] 1.240084e-05 1.211148e-05 1.224112e-05 1.409667e-05 1.421918e-05 #>  [4928,] 1.374782e-05 1.319424e-05 1.479254e-05 1.456175e-05 1.463958e-05 #>  [4929,] 1.083511e-05 1.081784e-05 1.218956e-05 1.096951e-05 1.551440e-05 #>  [4930,] 7.105649e-05 4.299972e-05 5.433465e-05 5.839707e-05 1.676391e-04 #>  [4931,] 1.374985e-05 1.593801e-05 1.806345e-05 1.575744e-05 1.625060e-05 #>  [4932,] 1.067564e-05 1.213755e-05 1.403660e-05 1.258669e-05 1.199750e-05 #>  [4933,] 1.243224e-05 1.219506e-05 1.274671e-05 1.280924e-05 1.334291e-05 #>  [4934,] 1.357200e-05 1.390047e-05 1.394174e-05 1.437004e-05 1.434917e-05 #>  [4935,] 1.744286e-05 1.668866e-05 2.069105e-05 2.621438e-05 2.555156e-05 #>  [4936,] 1.258087e-05 1.271625e-05 1.291060e-05 1.350236e-05 1.234378e-05 #>  [4937,] 1.378680e-05 1.385249e-05 1.330365e-05 1.318546e-05 1.372766e-05 #>  [4938,] 1.568007e-05 1.569386e-05 1.481028e-05 1.529994e-05 1.473581e-05 #>  [4939,] 1.428833e-05 1.399315e-05 1.397173e-05 1.483469e-05 1.440448e-05 #>  [4940,] 1.453758e-05 1.557622e-05 1.581126e-05 1.745644e-05 1.760003e-05 #>  [4941,] 1.345046e-05 1.418994e-05 1.710927e-05 1.442741e-05 1.497533e-05 #>  [4942,] 1.768425e-05 1.677359e-05 1.364313e-05 1.496098e-05 1.515295e-05 #>  [4943,] 1.297248e-05 1.297344e-05 1.374147e-05 1.465602e-05 1.487069e-05 #>  [4944,] 1.284050e-05 1.304324e-05 1.411741e-05 1.383253e-05 1.513408e-05 #>  [4945,] 6.661490e-05 3.958395e-05 3.528345e-05 2.396054e-05 2.104056e-05 #>  [4946,] 1.556867e-05 2.143307e-05 1.937273e-05 2.023928e-05 2.096225e-05 #>  [4947,] 1.461741e-05 1.429071e-05 1.450129e-05 1.774072e-05 1.708646e-05 #>  [4948,] 4.417262e-05 3.509088e-05 3.389378e-05 3.764301e-05 2.862421e-05 #>  [4949,] 1.506194e-05 1.391113e-05 1.743609e-05 1.645153e-05 1.547401e-05 #>  [4950,] 1.034281e-05 1.035621e-05 1.066248e-05 1.039079e-05 1.041784e-05 #>  [4951,] 3.334476e-05 3.707192e-05 3.594358e-05 4.128118e-05 5.276349e-05 #>  [4952,] 4.819578e-05 6.355501e-05 7.910555e-05 9.660069e-05 1.242756e-04 #>  [4953,] 1.508836e-05 1.898383e-05 1.777884e-05 1.866567e-05 1.917068e-05 #>  [4954,] 1.505211e-05 1.732194e-05 1.518477e-05 1.680275e-05 1.749595e-05 #>  [4955,] 1.090331e-05 1.113418e-05 1.160194e-05 1.071176e-05 1.083147e-05 #>  [4956,] 1.384268e-05 1.657704e-05 1.961074e-05 1.392769e-05 1.529373e-05 #>  [4957,] 1.303984e-05 1.247232e-05 1.336221e-05 1.369396e-05 1.416590e-05 #>  [4958,] 2.295945e-05 3.027395e-05 3.191162e-05 4.356837e-05 6.211336e-05 #>  [4959,] 5.271675e-05 1.055904e-04 2.115089e-04 1.712232e-04 1.880286e-04 #>  [4960,] 3.279931e-05 4.179954e-05 4.254647e-05 5.792638e-05 9.202382e-05 #>  [4961,] 1.459138e-05 1.352754e-05 1.420973e-05 1.821819e-05 1.632317e-05 #>  [4962,] 1.528709e-05 1.458275e-05 1.649850e-05 1.598858e-05 1.520359e-05 #>  [4963,] 1.206084e-05 1.382550e-05 1.346917e-05 1.282697e-05 1.255313e-05 #>  [4964,] 2.956653e-05 2.879736e-05 2.122520e-05 2.329868e-05 2.739687e-05 #>  [4965,] 1.040754e-05 1.017595e-05 1.067557e-05 1.047762e-05 1.018367e-05 #>  [4966,] 1.212819e-05 1.111757e-05 1.232549e-05 1.252376e-05 1.231731e-05 #>  [4967,] 1.844700e-05 1.651167e-05 1.849781e-05 2.096155e-05 2.031816e-05 #>  [4968,] 1.414255e-05 1.330254e-05 1.411333e-05 1.652491e-05 1.720820e-05 #>  [4969,] 1.738075e-04 1.303809e-04 1.050402e-04 1.001733e-04 9.157817e-05 #>  [4970,] 5.497404e-05 7.619123e-05 4.652795e-05 5.462624e-05 5.343705e-05 #>  [4971,] 1.105264e-05 9.770936e-06 1.018550e-05 1.058369e-05 1.013141e-05 #>  [4972,] 1.124971e-05 1.196011e-05 1.192750e-05 1.219744e-05 1.230430e-05 #>  [4973,] 1.384462e-05 1.503326e-05 1.670575e-05 1.672264e-05 1.700987e-05 #>  [4974,] 1.177359e-05 1.156112e-05 1.212768e-05 1.312737e-05 1.269776e-05 #>  [4975,] 1.489536e-05 1.515527e-05 1.667451e-05 2.047855e-05 2.023544e-05 #>  [4976,] 1.166245e-05 1.221934e-05 1.333717e-05 1.410162e-05 1.564059e-05 #>  [4977,] 1.302025e-05 1.308723e-05 1.311062e-05 1.317433e-05 1.303667e-05 #>  [4978,] 1.291658e-05 1.371728e-05 1.269243e-05 1.404603e-05 1.391073e-05 #>  [4979,] 1.678648e-05 1.724036e-05 1.693473e-05 1.683252e-05 1.800701e-05 #>  [4980,] 1.488667e-05 1.473282e-05 1.411831e-05 1.566401e-05 1.624316e-05 #>  [4981,] 1.935531e-05 1.996179e-05 2.177268e-05 2.203566e-05 2.001205e-05 #>  [4982,] 1.523811e-05 1.521862e-05 1.586518e-05 1.687216e-05 1.669639e-05 #>  [4983,] 1.490114e-05 1.563876e-05 1.631458e-05 2.023619e-05 2.060311e-05 #>  [4984,] 5.459500e-05 5.972354e-05 3.441383e-05 3.778831e-05 4.490629e-05 #>  [4985,] 1.201086e-05 1.282624e-05 1.417268e-05 1.556297e-05 1.520580e-05 #>  [4986,] 1.452701e-05 1.421548e-05 1.494973e-05 1.637605e-05 1.546956e-05 #>  [4987,] 1.294727e-05 1.504701e-05 1.914288e-05 1.664445e-05 1.673654e-05 #>  [4988,] 1.945530e-05 2.640513e-05 2.508981e-05 3.986175e-05 5.075453e-05 #>  [4989,] 2.472037e-05 2.455147e-05 1.922054e-05 2.368561e-05 3.034661e-05 #>  [4990,] 1.499229e-05 1.779740e-05 2.009597e-05 2.063571e-05 3.075408e-05 #>  [4991,] 1.053526e-04 2.080091e-04 2.043779e-04 3.872909e-04 3.450703e-04 #>  [4992,] 1.182160e-05 1.235060e-05 1.620824e-05 1.777749e-05 1.747464e-05 #>  [4993,] 4.910688e-05 5.999222e-05 1.058173e-04 9.781917e-05 9.213397e-05 #>  [4994,] 2.396012e-05 1.428909e-05 1.470391e-05 1.685355e-05 1.664846e-05 #>  [4995,] 2.849888e-05 2.811024e-05 3.147979e-05 2.677785e-05 2.951075e-05 #>  [4996,] 1.095100e-05 1.117467e-05 1.167133e-05 1.146028e-05 1.193999e-05 #>  [4997,] 1.446713e-05 1.451809e-05 1.395629e-05 1.633455e-05 1.703743e-05 #>  [4998,] 1.333609e-05 1.288511e-05 1.450498e-05 1.453635e-05 1.493986e-05 #>  [4999,] 1.859015e-05 2.118433e-05 1.737781e-05 1.676650e-05 1.694938e-05 #>  [5000,] 1.253142e-05 1.297101e-05 1.462511e-05 1.436511e-05 1.370530e-05 #>  [5001,] 3.082868e-05 2.658490e-05 2.767473e-05 2.455956e-05 2.213175e-05 #>  [5002,] 3.148627e-05 2.159023e-05 2.364854e-05 2.348608e-05 1.742809e-05 #>  [5003,] 1.580685e-05 1.915706e-05 2.574378e-05 3.002292e-05 2.473189e-05 #>  [5004,] 1.330536e-05 1.270722e-05 1.379770e-05 1.434337e-05 1.582187e-05 #>  [5005,] 1.201900e-05 1.134512e-05 1.257006e-05 1.473641e-05 1.505802e-05 #>  [5006,] 1.201444e-05 1.270410e-05 1.345775e-05 1.329108e-05 1.405014e-05 #>  [5007,] 1.406436e-05 1.596170e-05 1.625632e-05 1.545396e-05 1.567662e-05 #>  [5008,] 1.320205e-05 1.338662e-05 1.277336e-05 1.272752e-05 1.259275e-05 #>  [5009,] 1.167255e-05 1.129882e-05 1.366824e-05 1.375451e-05 1.337113e-05 #>  [5010,] 1.169926e-05 1.032385e-05 1.149791e-05 1.315092e-05 1.266513e-05 #>  [5011,] 1.265146e-05 1.229051e-05 1.446752e-05 1.669824e-05 1.637330e-05 #>  [5012,] 1.237741e-05 1.261135e-05 1.342036e-05 1.389300e-05 1.527985e-05 #>  [5013,] 1.255777e-05 1.373448e-05 1.447887e-05 1.376429e-05 1.591204e-05 #>  [5014,] 1.571057e-05 2.228650e-05 1.759745e-05 1.693309e-05 2.165490e-05 #>  [5015,] 7.476285e-05 6.779378e-05 7.205900e-05 1.040258e-04 2.490850e-04 #>  [5016,] 1.390444e-04 6.435674e-05 3.448044e-05 4.435553e-05 4.452020e-05 #>  [5017,] 2.213288e-04 2.361211e-04 3.054882e-04 2.969732e-04 2.763667e-04 #>  [5018,] 1.433034e-05 1.403074e-05 1.562793e-05 1.667251e-05 1.685821e-05 #>  [5019,] 1.392931e-05 2.069936e-05 1.853875e-05 1.813080e-05 1.649315e-05 #>  [5020,] 1.721545e-05 1.973561e-05 3.665525e-05 5.289265e-05 5.928884e-05 #>  [5021,] 1.298847e-05 1.424163e-05 1.626534e-05 1.555609e-05 1.689118e-05 #>  [5022,] 2.993827e-05 3.674225e-05 1.788128e-05 1.627758e-05 1.535895e-05 #>  [5023,] 2.281279e-05 2.026301e-05 2.079937e-05 2.106010e-05 2.355407e-05 #>  [5024,] 2.517569e-05 2.302105e-05 3.324612e-05 4.089285e-05 3.070997e-05 #>  [5025,] 1.625416e-05 1.687423e-05 1.851054e-05 1.958295e-05 1.719922e-05 #>  [5026,] 1.253916e-05 1.212284e-05 1.173467e-05 1.375202e-05 1.301222e-05 #>  [5027,] 1.257812e-05 1.260772e-05 1.179729e-05 1.211534e-05 1.254039e-05 #>  [5028,] 2.124610e-05 2.315463e-05 1.900793e-05 1.772602e-05 1.722223e-05 #>  [5029,] 1.426979e-05 1.542513e-05 1.595615e-05 1.618270e-05 1.519615e-05 #>  [5030,] 1.776421e-05 1.476306e-05 1.650649e-05 1.986496e-05 1.983164e-05 #>  [5031,] 1.172899e-05 1.140705e-05 1.224126e-05 1.446589e-05 1.454678e-05 #>  [5032,] 9.657585e-05 1.588364e-05 1.375914e-05 1.607352e-05 1.520274e-05 #>  [5033,] 7.469567e-05 3.034103e-04 2.726821e-04 2.464637e-04 3.371798e-04 #>  [5034,] 1.285667e-05 1.312104e-05 1.370651e-05 1.404806e-05 1.447651e-05 #>  [5035,] 2.151624e-05 2.089572e-05 1.799318e-05 1.875613e-05 1.844713e-05 #>  [5036,] 1.425224e-04 2.397230e-04 2.927912e-05 3.124585e-05 2.003893e-05 #>  [5037,] 1.328451e-04 1.296340e-04 7.464692e-05 8.491897e-05 8.114179e-05 #>  [5038,] 1.422334e-05 1.573338e-05 2.107447e-05 2.175026e-05 2.764491e-05 #>  [5039,] 1.397398e-05 1.318991e-05 1.357428e-05 1.498335e-05 1.393917e-05 #>  [5040,] 1.418904e-05 1.550825e-05 1.606675e-05 1.655661e-05 1.828796e-05 #>  [5041,] 2.694329e-05 2.899548e-05 1.976757e-05 2.525532e-05 2.629765e-05 #>  [5042,] 1.218822e-05 1.529422e-05 1.298373e-05 1.256016e-05 1.271775e-05 #>  [5043,] 1.440927e-05 1.476956e-05 1.570692e-05 1.625862e-05 1.847327e-05 #>  [5044,] 1.467093e-05 1.486107e-05 1.370055e-05 1.378709e-05 1.418461e-05 #>  [5045,] 1.450738e-05 1.635156e-05 1.487325e-05 1.537518e-05 1.759813e-05 #>  [5046,] 1.371138e-05 1.631928e-05 2.132246e-05 1.655796e-05 1.716747e-05 #>  [5047,] 6.141742e-05 6.361186e-05 1.105284e-04 1.119939e-04 1.350384e-04 #>  [5048,] 1.465312e-05 1.758613e-05 3.746941e-05 3.540518e-05 2.482070e-05 #>  [5049,] 4.603222e-05 4.096202e-05 2.386937e-05 3.195635e-05 3.949918e-05 #>  [5050,] 3.165307e-05 2.574164e-05 3.083680e-05 3.144712e-05 3.799274e-05 #>  [5051,] 1.256056e-05 1.229733e-05 1.365191e-05 1.478200e-05 1.509766e-05 #>  [5052,] 1.696850e-05 1.364494e-05 1.726526e-05 1.721251e-05 1.754780e-05 #>  [5053,] 1.313008e-05 1.396729e-05 1.649372e-05 1.438040e-05 1.527918e-05 #>  [5054,] 1.194554e-05 1.126992e-05 1.209440e-05 1.196283e-05 1.214790e-05 #>  [5055,] 1.225996e-04 7.539068e-05 5.576605e-05 8.244417e-05 8.437526e-05 #>  [5056,] 1.245679e-05 1.234039e-05 1.323233e-05 1.478814e-05 1.462865e-05 #>  [5057,] 6.655144e-05 5.875219e-05 6.048741e-05 6.791923e-05 5.844204e-05 #>  [5058,] 1.977049e-05 2.451151e-05 2.259531e-05 2.598918e-05 2.040087e-05 #>  [5059,] 1.455741e-05 1.556315e-05 1.577035e-05 1.660243e-05 1.641826e-05 #>  [5060,] 1.201970e-05 1.263220e-05 1.611354e-05 1.722902e-05 1.885780e-05 #>  [5061,] 1.244962e-05 1.445130e-05 1.607670e-05 1.417760e-05 1.491079e-05 #>  [5062,] 1.245755e-05 1.202988e-05 1.340163e-05 1.364523e-05 1.486916e-05 #>  [5063,] 1.383203e-05 1.491207e-05 1.341928e-05 1.494757e-05 1.834159e-05 #>  [5064,] 2.317003e-05 1.025195e-05 1.062275e-05 1.018270e-05 1.120076e-05 #>  [5065,] 1.265370e-05 1.262873e-05 1.513245e-05 1.451284e-05 1.324737e-05 #>  [5066,] 1.883739e-05 2.042385e-05 1.325502e-05 1.405630e-05 1.442029e-05 #>  [5067,] 5.510265e-05 4.132041e-05 7.084975e-05 7.521929e-05 4.182241e-05 #>  [5068,] 1.469169e-04 1.060489e-04 7.773093e-05 7.803812e-05 8.539142e-05 #>  [5069,] 1.323666e-05 1.400798e-05 1.637077e-05 1.503753e-05 1.539839e-05 #>  [5070,] 7.648253e-05 5.873777e-05 4.426304e-05 4.982339e-05 8.664087e-05 #>  [5071,] 1.316866e-05 1.547126e-05 1.290858e-05 1.430260e-05 1.821277e-05 #>  [5072,] 1.378041e-05 1.406706e-05 1.383326e-05 1.490624e-05 1.595101e-05 #>  [5073,] 1.268823e-05 1.229746e-05 1.629914e-05 1.960806e-05 1.866067e-05 #>  [5074,] 2.198813e-05 2.343003e-05 1.712987e-05 2.138390e-05 3.105781e-05 #>  [5075,] 1.373188e-05 1.309283e-05 1.458155e-05 1.486900e-05 1.491433e-05 #>  [5076,] 1.178848e-05 1.233342e-05 1.328088e-05 1.365514e-05 1.347047e-05 #>  [5077,] 2.146566e-05 6.380765e-05 2.473224e-05 1.863181e-05 1.455699e-05 #>  [5078,] 7.475348e-05 6.027673e-05 5.368234e-05 5.599714e-05 4.420491e-05 #>  [5079,] 1.167695e-05 1.294416e-05 1.421579e-05 1.440243e-05 1.531309e-05 #>  [5080,] 2.717073e-05 4.666737e-05 9.801520e-05 9.419227e-05 1.017992e-04 #>  [5081,] 1.915298e-05 2.890195e-05 2.157777e-05 2.300452e-05 2.452857e-05 #>  [5082,] 1.684258e-05 1.771037e-05 1.991456e-05 2.117027e-05 2.007653e-05 #>  [5083,] 2.086341e-05 2.613971e-05 2.786313e-05 2.078935e-05 1.805188e-05 #>  [5084,] 1.145138e-05 1.377826e-05 1.191386e-05 1.212905e-05 1.268772e-05 #>  [5085,] 1.037899e-05 1.021679e-05 1.032682e-05 1.016954e-05 1.127248e-05 #>  [5086,] 1.236588e-05 1.160406e-05 1.270232e-05 1.307472e-05 1.246098e-05 #>  [5087,] 1.331004e-05 1.284292e-05 1.308717e-05 1.412135e-05 1.373779e-05 #>  [5088,] 1.651849e-05 1.494442e-05 1.473645e-05 1.503928e-05 1.605204e-05 #>  [5089,] 3.026594e-05 4.140899e-05 4.308872e-05 4.326722e-05 3.076467e-05 #>  [5090,] 1.273308e-05 1.374688e-05 1.566990e-05 1.639341e-05 1.586362e-05 #>  [5091,] 1.172662e-05 1.321617e-05 1.479222e-05 1.492517e-05 1.624349e-05 #>  [5092,] 1.207883e-05 1.475967e-05 1.692671e-05 1.382654e-05 1.499313e-05 #>  [5093,] 1.122868e-05 1.165458e-05 1.089710e-05 1.099112e-05 1.182198e-05 #>  [5094,] 1.550326e-05 1.442384e-05 1.358692e-05 1.489740e-05 1.832842e-05 #>  [5095,] 1.413029e-05 1.384522e-05 1.381031e-05 1.453440e-05 1.619859e-05 #>  [5096,] 6.005471e-04 5.480941e-04 5.211142e-04 6.498957e-04 5.106072e-04 #>  [5097,] 1.065500e-05 1.111999e-05 1.088743e-05 1.087080e-05 1.128168e-05 #>  [5098,] 4.841862e-04 7.434328e-04 1.024856e-03 9.376954e-04 7.325364e-04 #>  [5099,] 1.256071e-05 1.554376e-05 1.879856e-05 1.631821e-05 1.586080e-05 #>  [5100,] 1.220155e-05 1.186011e-05 1.212384e-05 1.336322e-05 1.352061e-05 #>  [5101,] 2.459263e-05 1.609575e-05 1.641108e-05 1.851129e-05 1.748131e-05 #>  [5102,] 1.876022e-05 2.331860e-05 2.168511e-05 1.951995e-05 2.119553e-05 #>  [5103,] 1.779896e-05 1.669588e-05 1.655420e-05 1.856670e-05 2.014017e-05 #>  [5104,] 1.234014e-05 1.373660e-05 1.865144e-05 1.812342e-05 1.518479e-05 #>  [5105,] 3.803254e-05 3.800342e-05 3.314756e-05 3.314197e-05 3.363027e-05 #>  [5106,] 1.046911e-05 9.952032e-06 1.084362e-05 1.087716e-05 1.066631e-05 #>  [5107,] 1.200787e-05 1.217787e-05 1.262506e-05 1.289478e-05 1.319425e-05 #>  [5108,] 1.229432e-05 1.255377e-05 1.230158e-05 1.430892e-05 1.462701e-05 #>  [5109,] 5.712743e-05 3.272291e-05 1.564978e-05 1.674242e-05 1.526207e-05 #>  [5110,] 2.225274e-05 3.087415e-05 4.775534e-05 4.626675e-05 3.314313e-05 #>  [5111,] 1.550477e-05 1.540074e-05 1.589217e-05 1.633781e-05 1.860341e-05 #>  [5112,] 1.240876e-05 1.209774e-05 1.167459e-05 1.256009e-05 1.231838e-05 #>  [5113,] 1.756088e-05 1.734661e-05 1.294557e-05 1.418833e-05 1.551149e-05 #>  [5114,] 1.389245e-05 1.360809e-05 1.276090e-05 1.321534e-05 1.368357e-05 #>  [5115,] 1.192222e-05 1.292890e-05 1.409953e-05 1.586955e-05 1.456910e-05 #>  [5116,] 1.320762e-05 1.462732e-05 1.563868e-05 1.587441e-05 1.654447e-05 #>  [5117,] 1.415190e-05 1.324053e-05 1.461534e-05 1.585135e-05 1.501449e-05 #>  [5118,] 1.612824e-05 1.817949e-05 1.692663e-05 1.718104e-05 1.658066e-05 #>  [5119,] 1.247194e-05 1.233291e-05 1.218866e-05 1.278502e-05 1.302947e-05 #>  [5120,] 1.272747e-05 1.241395e-05 1.261166e-05 1.550544e-05 1.619190e-05 #>  [5121,] 1.356901e-05 1.228888e-05 1.354869e-05 1.438257e-05 1.411712e-05 #>  [5122,] 1.317341e-05 1.266872e-05 1.472734e-05 1.444369e-05 1.483549e-05 #>  [5123,] 1.452218e-05 1.341570e-05 1.489287e-05 1.529729e-05 1.530354e-05 #>  [5124,] 1.077486e-05 1.192069e-05 1.427799e-05 1.360135e-05 1.333391e-05 #>  [5125,] 2.185827e-05 3.017792e-05 1.828756e-05 2.048169e-05 2.062829e-05 #>  [5126,] 1.251467e-05 1.309710e-05 1.573710e-05 1.542847e-05 1.488216e-05 #>  [5127,] 2.633970e-05 2.126316e-05 2.028406e-05 2.064295e-05 2.533624e-05 #>  [5128,] 1.750388e-05 2.101175e-05 6.731720e-05 6.472683e-05 6.327824e-05 #>  [5129,] 1.135454e-05 1.121972e-05 1.077202e-05 1.190403e-05 1.186896e-05 #>  [5130,] 1.421499e-05 1.528054e-05 1.602686e-05 1.568466e-05 1.611447e-05 #>  [5131,] 1.143909e-05 1.211305e-05 1.172752e-05 1.225648e-05 1.145321e-05 #>  [5132,] 1.907314e-05 1.690845e-05 1.416044e-05 1.534364e-05 1.604241e-05 #>  [5133,] 1.412268e-05 1.396624e-05 1.166761e-05 1.188408e-05 1.248408e-05 #>  [5134,] 1.401819e-05 1.272690e-05 1.287735e-05 1.372489e-05 1.347934e-05 #>  [5135,] 5.824989e-05 4.284559e-05 3.071417e-05 3.236844e-05 3.659181e-05 #>  [5136,] 3.824498e-04 5.282244e-04 2.011682e-04 1.528096e-04 1.463335e-04 #>  [5137,] 1.328302e-05 1.403274e-05 1.512487e-05 1.453443e-05 1.322981e-05 #>  [5138,] 1.587712e-05 1.689979e-05 1.579969e-05 1.502637e-05 1.519028e-05 #>  [5139,] 1.308155e-05 1.489547e-05 1.476956e-05 1.461102e-05 1.379660e-05 #>  [5140,] 1.210073e-05 1.222363e-05 1.305163e-05 1.253149e-05 1.356855e-05 #>  [5141,] 2.008012e-05 1.801710e-05 1.319818e-05 1.286277e-05 1.409257e-05 #>  [5142,] 1.524358e-05 1.887335e-05 2.521857e-05 2.290204e-05 3.095489e-05 #>  [5143,] 4.115718e-05 4.029186e-05 4.350839e-05 4.769619e-05 4.337770e-05 #>  [5144,] 2.020461e-05 1.726730e-05 2.201628e-05 2.094441e-05 2.098370e-05 #>  [5145,] 1.863241e-05 2.332084e-05 2.668088e-05 4.671746e-05 4.143350e-05 #>  [5146,] 1.343522e-05 1.232783e-05 1.125834e-05 1.101730e-05 1.174774e-05 #>  [5147,] 1.300515e-05 1.297669e-05 1.296489e-05 1.511606e-05 1.456904e-05 #>  [5148,] 1.210853e-05 1.298933e-05 1.524341e-05 1.543089e-05 1.453590e-05 #>  [5149,] 2.382826e-05 2.375320e-05 1.589247e-05 1.573109e-05 1.846882e-05 #>  [5150,] 1.312768e-05 1.620068e-05 1.915261e-05 2.491986e-05 5.371443e-05 #>  [5151,] 1.272129e-05 1.277471e-05 1.297301e-05 1.448006e-05 1.536953e-05 #>  [5152,] 1.083846e-05 1.202872e-05 1.284076e-05 1.260783e-05 1.391336e-05 #>  [5153,] 1.294778e-05 1.430349e-05 1.311604e-05 1.422308e-05 1.551134e-05 #>  [5154,] 1.262537e-05 1.339366e-05 1.535617e-05 1.513154e-05 1.429495e-05 #>  [5155,] 1.254225e-05 1.281776e-05 1.353129e-05 1.323837e-05 1.437701e-05 #>  [5156,] 3.562216e-05 2.678420e-05 2.977457e-05 3.018882e-05 2.410433e-05 #>  [5157,] 4.160467e-04 3.963300e-04 2.846558e-04 2.659370e-04 2.899800e-04 #>  [5158,] 1.272810e-05 1.441832e-05 1.822763e-05 2.377662e-05 4.019270e-05 #>  [5159,] 1.837133e-05 2.054026e-05 2.306132e-05 1.732440e-05 1.648399e-05 #>  [5160,] 1.275829e-05 1.354912e-05 1.291872e-05 1.247301e-05 1.303899e-05 #>  [5161,] 1.347586e-05 1.488384e-05 2.345117e-05 1.690484e-05 1.293212e-05 #>  [5162,] 1.591285e-05 2.123019e-05 5.371146e-05 4.997337e-05 4.089470e-05 #>  [5163,] 1.403849e-05 1.373966e-05 1.920987e-05 2.151074e-05 2.182047e-05 #>  [5164,] 1.309077e-05 1.530434e-05 2.450530e-05 2.396264e-05 2.223217e-05 #>  [5165,] 1.032384e-05 1.039315e-05 1.034299e-05 1.106274e-05 1.027127e-05 #>  [5166,] 2.467526e-05 2.294773e-05 2.081137e-05 2.354574e-05 2.264306e-05 #>  [5167,] 2.364606e-05 2.083128e-05 1.943040e-05 1.784320e-05 1.851723e-05 #>  [5168,] 1.444680e-05 1.449469e-05 1.695488e-05 1.761683e-05 1.753507e-05 #>  [5169,] 1.489868e-05 1.495180e-05 1.627822e-05 1.686293e-05 1.626992e-05 #>  [5170,] 2.458368e-05 2.596555e-05 3.099055e-05 4.144998e-05 4.017812e-05 #>  [5171,] 1.167320e-05 1.177917e-05 1.198396e-05 1.234947e-05 1.229911e-05 #>  [5172,] 2.342529e-05 2.131647e-05 1.717307e-05 1.979690e-05 1.983332e-05 #>  [5173,] 4.827388e-05 4.902583e-05 2.759724e-05 2.654023e-05 1.973053e-05 #>  [5174,] 1.258369e-05 1.713638e-05 1.878099e-05 2.061540e-05 2.602027e-05 #>  [5175,] 1.232343e-05 1.285933e-05 1.445517e-05 1.399429e-05 1.437725e-05 #>  [5176,] 1.451402e-05 1.417239e-05 1.485410e-05 1.459127e-05 1.409878e-05 #>  [5177,] 1.237189e-05 1.368037e-05 1.467111e-05 1.535259e-05 1.615983e-05 #>  [5178,] 1.133997e-05 1.115591e-05 1.198395e-05 1.151438e-05 1.208104e-05 #>  [5179,] 1.214036e-05 1.255522e-05 1.300836e-05 1.359744e-05 1.265288e-05 #>  [5180,] 1.269638e-05 1.250671e-05 1.499990e-05 1.580409e-05 1.493123e-05 #>  [5181,] 1.266942e-05 1.350228e-05 1.538514e-05 1.396267e-05 1.433616e-05 #>  [5182,] 1.105966e-05 1.115853e-05 1.183496e-05 1.197876e-05 1.238318e-05 #>  [5183,] 1.713746e-04 2.101269e-04 2.289970e-04 2.671838e-04 2.124050e-04 #>  [5184,] 7.630772e-05 1.491122e-05 1.692745e-05 1.440370e-05 1.483544e-05 #>  [5185,] 1.863118e-05 2.086978e-05 2.436696e-05 4.381594e-05 8.207342e-05 #>  [5186,] 1.843994e-04 1.715971e-04 2.091926e-04 1.693336e-04 1.946507e-04 #>  [5187,] 1.554096e-05 1.871901e-05 2.048067e-05 1.479368e-05 1.621252e-05 #>  [5188,] 2.679840e-05 4.806940e-05 2.446713e-05 1.709505e-05 1.764648e-05 #>  [5189,] 1.276726e-05 1.199972e-05 1.286908e-05 1.540499e-05 1.381521e-05 #>  [5190,] 2.810177e-04 3.416941e-04 5.219314e-04 5.173447e-04 4.071267e-04 #>  [5191,] 1.491984e-05 1.526002e-05 1.394358e-05 1.468127e-05 1.551821e-05 #>  [5192,] 1.357523e-05 1.313201e-05 1.460200e-05 1.416432e-05 1.457904e-05 #>  [5193,] 1.289640e-05 1.399831e-05 1.181774e-05 1.133463e-05 1.243766e-05 #>  [5194,] 1.128925e-05 1.120380e-05 1.205573e-05 1.245084e-05 1.192069e-05 #>  [5195,] 2.222745e-05 3.187422e-05 4.195848e-05 4.554962e-05 6.667062e-05 #>  [5196,] 1.311443e-05 1.507741e-05 1.587882e-05 1.444067e-05 1.602937e-05 #>  [5197,] 1.349067e-05 1.308456e-05 1.788008e-05 1.729477e-05 1.715338e-05 #>  [5198,] 3.773780e-05 4.195437e-05 3.047863e-05 3.155987e-05 3.844947e-05 #>  [5199,] 1.686113e-05 1.558496e-05 1.630525e-05 1.930793e-05 1.977263e-05 #>  [5200,] 1.381072e-05 1.296072e-05 1.439268e-05 1.539337e-05 1.461777e-05 #>  [5201,] 1.154472e-05 1.087415e-05 1.250731e-05 1.328173e-05 1.177783e-05 #>  [5202,] 1.150357e-05 1.145911e-05 1.258153e-05 1.377236e-05 1.435589e-05 #>  [5203,] 1.288823e-05 1.328497e-05 1.578691e-05 2.042891e-05 1.725828e-05 #>  [5204,] 2.056360e-05 4.120517e-05 1.812283e-05 1.520479e-05 1.462091e-05 #>  [5205,] 1.513015e-05 1.596831e-05 1.555069e-05 1.541893e-05 1.594327e-05 #>  [5206,] 1.473465e-05 1.391221e-05 1.470066e-05 1.520310e-05 1.652204e-05 #>  [5207,] 1.111409e-05 1.427846e-05 1.581236e-05 1.226234e-05 1.460705e-05 #>  [5208,] 1.025340e-05 9.762088e-06 1.151872e-05 1.054229e-05 1.013265e-05 #>  [5209,] 1.400849e-05 1.391397e-05 1.362270e-05 1.545701e-05 1.564342e-05 #>  [5210,] 1.564537e-05 1.459938e-05 1.548312e-05 1.756225e-05 1.751960e-05 #>  [5211,] 1.016367e-03 9.057212e-04 1.134306e-03 8.927729e-04 8.867378e-04 #>  [5212,] 1.043869e-03 1.021657e-03 9.779458e-04 1.017976e-03 1.033880e-03 #>  [5213,] 1.501804e-05 1.161475e-05 1.564200e-05 1.222634e-05 1.100841e-05 #>  [5214,] 1.203434e-05 1.284174e-05 1.435969e-05 1.476845e-05 1.683491e-05 #>  [5215,] 1.333739e-05 1.294623e-05 1.316187e-05 1.448033e-05 1.508381e-05 #>  [5216,] 1.853753e-05 2.650007e-05 2.431848e-05 2.872273e-05 3.854608e-05 #>  [5217,] 1.816022e-04 1.760690e-04 4.704508e-05 3.431716e-05 1.713693e-05 #>  [5218,] 1.270377e-05 1.273979e-05 1.268010e-05 1.459462e-05 1.452672e-05 #>  [5219,] 1.276876e-05 1.384264e-05 1.405408e-05 1.508553e-05 1.580940e-05 #>  [5220,] 1.281913e-05 1.373451e-05 1.377573e-05 1.400245e-05 1.313353e-05 #>  [5221,] 1.343175e-05 1.306944e-05 1.519392e-05 1.670372e-05 1.726689e-05 #>  [5222,] 2.489404e-05 3.032235e-05 3.219154e-05 3.134961e-05 4.026946e-05 #>  [5223,] 1.472199e-05 2.092399e-05 4.639448e-05 3.591778e-05 6.103661e-05 #>  [5224,] 1.420373e-05 1.783867e-05 1.919789e-05 2.263995e-05 3.394517e-05 #>  [5225,] 4.657719e-05 3.636422e-05 4.333028e-05 5.565056e-05 4.000022e-05 #>  [5226,] 2.643324e-05 4.385092e-05 9.463746e-05 1.094774e-04 1.674136e-04 #>  [5227,] 1.443126e-05 1.258883e-05 1.375759e-05 1.504040e-05 1.735202e-05 #>  [5228,] 1.311604e-04 8.204062e-04 7.740354e-05 5.098447e-05 1.544164e-04 #>  [5229,] 4.796547e-05 4.247337e-05 3.540195e-05 4.031257e-05 5.331018e-05 #>  [5230,] 1.020111e-03 1.052477e-03 1.042777e-03 1.047341e-03 9.171408e-04 #>  [5231,] 1.356269e-05 1.405124e-05 1.868136e-05 1.658233e-05 1.595062e-05 #>  [5232,] 1.195629e-05 1.475829e-05 1.638380e-05 1.462300e-05 1.534281e-05 #>  [5233,] 1.326580e-05 1.329958e-05 1.281870e-05 1.382588e-05 1.445498e-05 #>  [5234,] 1.481776e-05 1.644946e-05 1.484779e-05 1.508135e-05 1.772608e-05 #>  [5235,] 2.755619e-05 2.400838e-05 2.998462e-05 3.979720e-05 4.414832e-05 #>  [5236,] 4.525926e-05 2.079789e-05 1.619613e-05 1.742359e-05 1.641983e-05 #>  [5237,] 1.345448e-05 1.267250e-05 1.379111e-05 1.469723e-05 1.482138e-05 #>  [5238,] 1.280736e-05 1.260892e-05 1.282204e-05 1.342361e-05 1.332074e-05 #>  [5239,] 1.195912e-05 1.211202e-05 1.144456e-05 1.253005e-05 1.237240e-05 #>  [5240,] 4.912049e-05 2.434780e-05 1.405103e-05 1.785953e-05 1.650697e-05 #>  [5241,] 3.187553e-05 4.624506e-05 1.567096e-04 2.162532e-04 2.251680e-04 #>  [5242,] 3.186966e-05 6.611556e-05 5.203551e-05 3.834355e-05 3.477891e-05 #>  [5243,] 1.487314e-05 1.490550e-05 1.332801e-05 1.255507e-05 1.217906e-05 #>  [5244,] 1.339070e-05 1.405617e-05 1.487599e-05 1.545034e-05 1.789626e-05 #>  [5245,] 3.493851e-05 4.368950e-05 2.731336e-05 2.282298e-05 1.988617e-05 #>  [5246,] 1.197531e-05 1.190253e-05 1.363063e-05 1.560693e-05 1.530319e-05 #>  [5247,] 1.183497e-05 1.216154e-05 1.376797e-05 1.385313e-05 1.442065e-05 #>  [5248,] 6.548475e-05 4.502353e-05 2.480806e-05 2.668845e-05 3.237211e-05 #>  [5249,] 1.228538e-05 1.307879e-05 1.290591e-05 1.397501e-05 1.308105e-05 #>  [5250,] 1.494816e-05 1.585701e-05 2.309612e-05 2.712260e-05 2.264950e-05 #>  [5251,] 1.798475e-05 1.766485e-05 1.679338e-05 1.669910e-05 1.674867e-05 #>  [5252,] 1.531215e-05 2.040463e-05 5.227243e-05 4.885560e-05 4.368593e-05 #>  [5253,] 1.704784e-05 1.885056e-05 1.840896e-05 1.748007e-05 1.665902e-05 #>  [5254,] 4.260927e-04 3.606936e-04 5.062538e-04 6.467304e-04 8.459066e-04 #>  [5255,] 1.774289e-05 1.585886e-05 2.341939e-05 2.976362e-05 3.249317e-05 #>  [5256,] 1.402542e-05 1.624495e-05 1.606647e-05 1.487301e-05 1.742759e-05 #>  [5257,] 2.619474e-05 3.067937e-05 2.187842e-05 2.496335e-05 2.921296e-05 #>  [5258,] 1.358405e-05 1.564041e-05 1.407199e-05 1.269609e-05 1.633695e-05 #>  [5259,] 1.874793e-05 2.064218e-05 2.158947e-05 2.095887e-05 1.991451e-05 #>  [5260,] 1.482549e-05 1.656054e-05 2.648672e-05 2.071971e-05 1.611135e-05 #>  [5261,] 1.211854e-05 1.177221e-05 1.155489e-05 1.287520e-05 1.460193e-05 #>  [5262,] 1.324128e-05 1.303641e-05 1.424433e-05 1.508729e-05 1.568247e-05 #>  [5263,] 3.406692e-04 2.425495e-04 2.457323e-04 3.183515e-04 2.863712e-04 #>  [5264,] 6.214292e-05 7.621171e-05 4.401395e-05 3.463095e-05 3.606436e-05 #>  [5265,] 2.970404e-05 3.556778e-05 2.314499e-05 1.826429e-05 2.493225e-05 #>  [5266,] 7.016644e-04 7.680174e-04 9.779596e-04 9.019834e-04 8.820567e-04 #>  [5267,] 1.230208e-05 1.313771e-05 1.787272e-05 1.730997e-05 1.585048e-05 #>  [5268,] 6.350341e-05 6.865949e-05 6.887705e-05 6.856391e-05 1.008289e-04 #>  [5269,] 1.712437e-05 1.699446e-05 2.279590e-05 2.376078e-05 2.572035e-05 #>  [5270,] 3.624339e-05 2.784694e-05 1.574333e-05 1.752234e-05 1.720992e-05 #>  [5271,] 5.360236e-05 4.080264e-05 2.152230e-05 2.291365e-05 2.147133e-05 #>  [5272,] 1.039774e-04 9.720419e-05 4.871884e-05 3.803456e-05 2.443611e-05 #>  [5273,] 1.637343e-05 1.650327e-05 2.257026e-05 2.502923e-05 2.185847e-05 #>  [5274,] 1.140056e-05 1.129188e-05 1.105291e-05 1.180080e-05 1.420043e-05 #>  [5275,] 1.417524e-05 2.023815e-05 1.702127e-05 1.667765e-05 1.863395e-05 #>  [5276,] 1.838851e-05 1.818988e-05 2.191830e-05 2.669495e-05 3.617362e-05 #>  [5277,] 1.427658e-05 1.457751e-05 1.401602e-05 1.404120e-05 1.546575e-05 #>  [5278,] 1.501159e-05 1.558493e-05 1.734938e-05 1.607688e-05 1.615248e-05 #>  [5279,] 1.446739e-05 2.095792e-05 3.289499e-05 3.912700e-05 9.348333e-05 #>  [5280,] 1.403949e-05 1.570956e-05 2.771752e-05 2.899599e-05 2.981861e-05 #>  [5281,] 1.438934e-05 1.318885e-05 1.575241e-05 1.569291e-05 1.399746e-05 #>  [5282,] 1.442759e-05 1.687165e-05 1.873165e-05 2.025239e-05 2.104854e-05 #>  [5283,] 1.739493e-05 2.719348e-05 1.832656e-05 1.726976e-05 1.846174e-05 #>  [5284,] 1.089613e-05 1.071737e-05 1.165733e-05 1.187415e-05 1.179628e-05 #>  [5285,] 1.445304e-05 1.297356e-05 1.551314e-05 1.546196e-05 1.538392e-05 #>  [5286,] 1.249419e-05 1.364305e-05 1.493673e-05 1.498377e-05 1.474770e-05 #>  [5287,] 1.141161e-05 1.080503e-05 1.184268e-05 1.143399e-05 1.181355e-05 #>  [5288,] 1.124399e-05 1.191490e-05 1.153386e-05 1.131471e-05 1.284158e-05 #>  [5289,] 2.431409e-05 2.099880e-05 1.568588e-05 1.692979e-05 1.771930e-05 #>  [5290,] 1.516486e-05 1.936982e-05 5.434356e-05 5.316324e-05 5.405174e-05 #>  [5291,] 1.203667e-05 1.391900e-05 1.306897e-05 1.238456e-05 1.428670e-05 #>  [5292,] 1.179889e-05 1.120537e-05 1.147296e-05 1.202816e-05 1.187112e-05 #>  [5293,] 7.527321e-04 7.616683e-04 6.258158e-04 4.600803e-04 3.133345e-04 #>  [5294,] 2.456566e-05 2.441372e-05 3.605181e-05 4.524291e-05 4.986152e-05 #>  [5295,] 1.235327e-05 1.274756e-05 1.430532e-05 1.524587e-05 1.571024e-05 #>  [5296,] 1.254735e-05 1.372555e-05 1.408181e-05 1.441102e-05 1.452267e-05 #>  [5297,] 1.313192e-05 1.615523e-05 1.929791e-05 1.576247e-05 1.584904e-05 #>  [5298,] 2.659479e-05 2.296947e-05 2.696736e-05 3.984418e-05 3.397041e-05 #>  [5299,] 1.031615e-05 1.030471e-05 1.038823e-05 1.132389e-05 1.077022e-05 #>  [5300,] 1.216549e-05 1.313636e-05 1.807107e-05 1.726278e-05 1.357704e-05 #>  [5301,] 1.236727e-05 1.221318e-05 1.328834e-05 1.518469e-05 1.492328e-05 #>  [5302,] 3.076556e-04 3.658508e-04 5.897251e-05 3.913450e-05 3.480504e-05 #>  [5303,] 1.266676e-05 1.341367e-05 1.481282e-05 1.461484e-05 1.787018e-05 #>  [5304,] 1.365919e-05 1.360513e-05 1.767483e-05 1.732071e-05 1.631369e-05 #>  [5305,] 5.319342e-05 7.838582e-05 9.672231e-05 8.507519e-05 8.863698e-05 #>  [5306,] 1.110276e-05 1.107642e-05 1.177267e-05 1.257282e-05 1.291713e-05 #>  [5307,] 1.447628e-05 1.272471e-05 1.461153e-05 1.410694e-05 1.715824e-05 #>  [5308,] 1.289545e-05 1.155197e-05 1.253208e-05 1.251510e-05 1.399504e-05 #>  [5309,] 1.856039e-05 1.923456e-05 2.774715e-05 2.677084e-05 2.356831e-05 #>  [5310,] 1.485125e-05 1.520557e-05 1.528236e-05 1.505516e-05 1.444480e-05 #>  [5311,] 1.078373e-04 1.133648e-04 1.326393e-04 9.192285e-05 7.175372e-05 #>  [5312,] 2.411823e-05 2.352699e-05 1.780355e-05 1.864387e-05 2.121284e-05 #>  [5313,] 1.295853e-05 1.404940e-05 1.529911e-05 2.028809e-05 2.363993e-05 #>  [5314,] 1.177791e-05 1.315748e-05 1.452996e-05 1.401111e-05 1.489851e-05 #>  [5315,] 1.632425e-05 1.658445e-05 1.759439e-05 1.889739e-05 2.084002e-05 #>  [5316,] 1.661360e-05 3.187129e-05 1.808272e-05 1.236902e-05 1.565108e-05 #>  [5317,] 1.062351e-05 1.056333e-05 1.187148e-05 1.173979e-05 1.251464e-05 #>  [5318,] 1.165443e-05 1.066335e-05 1.153663e-05 1.327543e-05 1.394909e-05 #>  [5319,] 1.735653e-05 1.824182e-05 3.142284e-05 4.648965e-05 5.881011e-05 #>  [5320,] 1.302360e-05 1.390558e-05 1.636462e-05 1.557975e-05 1.604478e-05 #>  [5321,] 2.666898e-05 6.911251e-05 1.942719e-04 1.249089e-04 1.069838e-04 #>  [5322,] 3.401724e-05 3.339996e-05 3.134874e-05 5.720281e-05 7.774130e-05 #>  [5323,] 8.608619e-05 1.016173e-04 5.281490e-05 5.515893e-05 7.659216e-05 #>  [5324,] 1.726624e-05 1.760639e-05 4.207849e-05 4.234642e-05 5.227153e-05 #>  [5325,] 1.030320e-05 1.078684e-05 1.236510e-05 1.133169e-05 1.119277e-05 #>  [5326,] 2.555960e-05 3.879681e-05 1.197339e-04 1.284940e-04 2.252741e-04 #>  [5327,] 1.402497e-05 1.480434e-05 1.495510e-05 1.622937e-05 1.757971e-05 #>  [5328,] 1.523725e-05 1.534426e-05 1.556837e-05 1.731304e-05 1.711098e-05 #>  [5329,] 4.975610e-05 3.496745e-05 3.319892e-05 3.540867e-05 3.394513e-05 #>  [5330,] 1.854152e-05 1.738378e-05 1.474569e-05 1.642551e-05 1.615462e-05 #>  [5331,] 4.086315e-05 3.603717e-05 1.002117e-04 1.430724e-04 1.394876e-04 #>  [5332,] 1.457572e-05 1.399989e-05 1.615629e-05 1.681980e-05 1.609034e-05 #>  [5333,] 1.159636e-05 1.143733e-05 1.221367e-05 1.184351e-05 1.123103e-05 #>  [5334,] 1.206536e-05 1.443832e-05 1.578653e-05 1.326656e-05 1.502657e-05 #>  [5335,] 1.314303e-05 1.256444e-05 1.188948e-05 1.218984e-05 1.581399e-05 #>  [5336,] 1.399952e-05 2.120020e-05 2.268508e-05 2.009662e-05 2.270128e-05 #>  [5337,] 1.447192e-04 1.797940e-04 2.274403e-04 3.725857e-04 6.716845e-04 #>  [5338,] 1.012367e-05 1.113394e-05 1.132124e-05 1.142767e-05 1.176279e-05 #>  [5339,] 1.502015e-05 1.455017e-05 1.622737e-05 1.801640e-05 1.938053e-05 #>  [5340,] 1.020343e-05 1.021421e-05 1.152493e-05 1.139289e-05 1.217904e-05 #>  [5341,] 1.111186e-05 1.161772e-05 1.456895e-05 1.502474e-05 1.493917e-05 #>  [5342,] 1.323649e-05 1.289126e-05 1.280090e-05 1.523380e-05 1.513222e-05 #>  [5343,] 1.432963e-05 1.322168e-05 1.490910e-05 1.617042e-05 1.466165e-05 #>  [5344,] 1.670591e-05 1.568487e-05 2.670414e-05 2.938148e-05 2.852189e-05 #>  [5345,] 1.643048e-05 1.710373e-05 1.742167e-05 1.849450e-05 1.667378e-05 #>  [5346,] 1.265996e-05 1.673545e-05 2.153883e-05 2.158922e-05 2.445365e-05 #>  [5347,] 1.119511e-05 1.027749e-05 1.114839e-05 1.146494e-05 1.145205e-05 #>  [5348,] 1.252244e-05 1.391804e-05 1.517732e-05 1.596636e-05 1.854812e-05 #>  [5349,] 1.733751e-05 1.984007e-05 2.443979e-05 2.196512e-05 1.675339e-05 #>  [5350,] 1.460438e-05 1.831658e-05 2.568525e-05 2.921918e-05 5.576553e-05 #>  [5351,] 1.440288e-05 1.426627e-05 1.535492e-05 1.814743e-05 1.920235e-05 #>  [5352,] 1.691156e-05 1.630797e-05 1.696613e-05 1.961046e-05 1.843674e-05 #>  [5353,] 1.360098e-05 1.411984e-05 1.302375e-05 1.387093e-05 1.332368e-05 #>  [5354,] 1.925248e-05 2.735972e-05 2.143047e-05 2.373189e-05 1.856751e-05 #>  [5355,] 3.101862e-05 2.332505e-05 2.303183e-05 3.411924e-05 3.890233e-05 #>  [5356,] 1.160680e-05 1.143812e-05 1.253711e-05 1.309464e-05 1.438533e-05 #>  [5357,] 2.247126e-05 1.271718e-05 1.346050e-05 1.405163e-05 1.455477e-05 #>  [5358,] 1.141748e-05 1.075637e-05 1.276305e-05 1.447149e-05 1.407359e-05 #>  [5359,] 1.267673e-05 1.298264e-05 1.253383e-05 1.344910e-05 1.467867e-05 #>  [5360,] 1.448098e-05 1.274760e-05 1.549385e-05 1.566314e-05 1.535900e-05 #>  [5361,] 2.007730e-04 2.800089e-04 4.189091e-04 4.300949e-04 3.308681e-04 #>  [5362,] 1.051945e-05 1.022444e-05 1.053815e-05 1.127085e-05 1.106920e-05 #>  [5363,] 3.631579e-05 3.728900e-05 3.320868e-05 4.567537e-05 3.625151e-05 #>  [5364,] 1.271599e-05 1.305572e-05 1.412486e-05 1.564638e-05 1.424818e-05 #>  [5365,] 1.369507e-05 1.604651e-05 1.749895e-05 2.094682e-05 2.619658e-05 #>  [5366,] 1.448111e-05 1.334899e-05 1.527428e-05 1.648391e-05 1.632877e-05 #>  [5367,] 2.669205e-05 2.915046e-05 1.620503e-05 1.771167e-05 1.583550e-05 #>  [5368,] 1.068310e-03 1.020995e-03 1.006575e-03 8.417939e-04 7.641747e-04 #>  [5369,] 1.486288e-05 1.331883e-05 1.352623e-05 1.419523e-05 1.315912e-05 #>  [5370,] 9.015189e-05 8.336886e-05 6.642152e-05 8.041272e-05 8.273053e-05 #>  [5371,] 8.372460e-05 1.128972e-04 7.652048e-05 7.633287e-05 4.640094e-04 #>  [5372,] 2.818031e-05 3.021973e-05 2.280391e-05 2.762809e-05 4.173923e-05 #>  [5373,] 1.341809e-05 1.235160e-05 1.458447e-05 1.628188e-05 1.745041e-05 #>  [5374,] 2.131861e-05 2.457246e-05 4.921030e-05 4.468102e-05 5.785259e-05 #>  [5375,] 1.543448e-05 1.381915e-05 1.742187e-05 1.628993e-05 1.348994e-05 #>  [5376,] 2.368896e-05 1.364458e-05 1.819616e-05 1.698248e-05 1.607529e-05 #>  [5377,] 1.580417e-05 1.472656e-05 2.215629e-05 2.223181e-05 1.789973e-05 #>  [5378,] 1.358996e-05 1.493809e-05 1.542434e-05 1.691542e-05 1.566995e-05 #>  [5379,] 1.841913e-05 1.736134e-05 6.005346e-05 5.043462e-05 5.274900e-05 #>  [5380,] 1.811186e-04 2.092505e-04 4.126076e-04 4.331429e-04 4.727760e-04 #>  [5381,] 1.431644e-05 1.913555e-05 1.484380e-05 1.435451e-05 2.793067e-05 #>  [5382,] 1.243323e-05 1.132197e-05 1.268385e-05 1.455293e-05 1.521299e-05 #>  [5383,] 2.258491e-05 2.526736e-05 6.039303e-05 5.421173e-05 5.248269e-05 #>  [5384,] 1.061556e-05 1.065453e-05 1.140960e-05 1.233696e-05 1.277904e-05 #>  [5385,] 1.198703e-05 1.107531e-05 1.215012e-05 1.257960e-05 1.331909e-05 #>  [5386,] 1.223664e-05 1.243763e-05 1.404931e-05 1.516765e-05 1.555419e-05 #>  [5387,] 1.470350e-05 1.553757e-05 1.725248e-05 1.541193e-05 1.576942e-05 #>  [5388,] 1.231417e-05 1.242676e-05 1.212864e-05 1.232875e-05 1.283345e-05 #>  [5389,] 1.716856e-05 1.631911e-05 1.645362e-05 1.729442e-05 1.563891e-05 #>  [5390,] 3.298071e-05 3.641027e-05 3.413797e-05 4.443380e-05 4.923839e-05 #>  [5391,] 1.135370e-05 1.179631e-05 1.272157e-05 1.326105e-05 1.451870e-05 #>  [5392,] 1.294717e-05 1.378907e-05 1.629559e-05 1.459689e-05 1.526913e-05 #>  [5393,] 1.405649e-05 1.488302e-05 1.492253e-05 1.569338e-05 1.552965e-05 #>  [5394,] 1.374562e-05 1.453636e-05 1.567328e-05 1.630597e-05 1.511247e-05 #>  [5395,] 3.962805e-05 2.832876e-05 4.756818e-05 4.651490e-05 5.420430e-05 #>  [5396,] 2.575073e-05 6.194338e-05 1.601493e-04 1.616188e-04 1.936609e-04 #>  [5397,] 1.465141e-05 1.435404e-05 1.400759e-05 1.389156e-05 1.323422e-05 #>  [5398,] 1.821367e-05 1.871776e-05 1.909880e-05 2.349634e-05 2.419148e-05 #>  [5399,] 5.762005e-05 8.664005e-05 3.313158e-05 3.404345e-05 4.832753e-05 #>  [5400,] 1.859025e-05 1.504572e-05 1.522348e-05 1.881362e-05 3.104819e-05 #>  [5401,] 1.177088e-05 1.337805e-05 1.647030e-05 1.756316e-05 2.049372e-05 #>  [5402,] 1.150233e-05 1.059593e-05 1.199152e-05 1.223921e-05 1.268137e-05 #>  [5403,] 8.325702e-05 3.838066e-05 4.133932e-05 3.758468e-05 5.580152e-05 #>  [5404,] 1.992602e-05 1.893043e-05 3.467609e-05 3.490286e-05 2.510923e-05 #>  [5405,] 1.356476e-05 1.464186e-05 1.498149e-05 1.627032e-05 1.565628e-05 #>  [5406,] 1.348946e-05 1.348253e-05 1.480628e-05 1.606708e-05 1.438921e-05 #>  [5407,] 1.242473e-05 1.567360e-05 1.752119e-05 1.533472e-05 1.625800e-05 #>  [5408,] 1.679063e-05 1.904647e-05 3.297734e-05 2.658550e-05 2.028446e-05 #>  [5409,] 1.213112e-05 1.100174e-05 1.285475e-05 1.345506e-05 1.407999e-05 #>  [5410,] 8.345808e-05 7.988251e-05 7.374308e-05 6.761487e-05 6.274934e-05 #>  [5411,] 2.111493e-04 1.762384e-04 1.314260e-04 1.580579e-04 1.754120e-04 #>  [5412,] 2.773153e-05 2.945552e-05 3.261867e-05 3.544806e-05 2.884563e-05 #>  [5413,] 1.340141e-05 1.586544e-05 1.598077e-05 1.885005e-05 1.945127e-05 #>  [5414,] 4.237008e-05 1.351328e-05 1.439361e-05 1.449062e-05 1.400882e-05 #>  [5415,] 2.308570e-05 4.542269e-05 5.063160e-05 4.813730e-05 3.256734e-05 #>  [5416,] 1.146842e-05 1.132620e-05 1.315857e-05 1.460603e-05 1.474920e-05 #>  [5417,] 1.186811e-05 1.276945e-05 1.437843e-05 1.342637e-05 1.507490e-05 #>  [5418,] 7.225059e-04 3.949737e-04 2.931266e-04 3.069902e-04 3.208867e-04 #>  [5419,] 4.422419e-05 6.608995e-05 4.874652e-05 8.653348e-05 8.390546e-05 #>  [5420,] 2.982698e-05 2.648035e-05 1.904032e-05 2.586034e-05 2.635484e-05 #>  [5421,] 1.331513e-05 1.371858e-05 1.737001e-05 1.447424e-05 1.656332e-05 #>  [5422,] 1.453886e-04 2.046958e-04 2.987975e-04 3.859538e-04 5.196584e-04 #>  [5423,] 1.165251e-05 1.118928e-05 1.185769e-05 1.313182e-05 1.391435e-05 #>  [5424,] 3.242750e-05 3.887351e-05 2.503039e-05 2.527997e-05 2.730183e-05 #>  [5425,] 2.699856e-05 3.702114e-05 1.680554e-04 1.210306e-04 9.381845e-05 #>  [5426,] 1.121627e-05 1.022097e-05 1.013804e-05 1.045170e-05 1.086231e-05 #>  [5427,] 1.336909e-05 1.483405e-05 1.728754e-05 1.473270e-05 1.534722e-05 #>  [5428,] 2.258880e-05 2.049147e-05 1.845399e-05 1.923639e-05 2.127717e-05 #>  [5429,] 4.990123e-05 1.238057e-04 9.616355e-05 8.488705e-05 1.195882e-04 #>  [5430,] 1.489566e-05 1.966899e-05 1.539841e-05 2.204193e-05 8.948732e-05 #>  [5431,] 3.694353e-05 3.146195e-05 2.978484e-05 4.031474e-05 7.558286e-05 #>  [5432,] 2.415237e-05 3.374326e-05 3.283444e-05 2.863480e-05 3.283854e-05 #>  [5433,] 1.595308e-05 1.667236e-05 1.880945e-05 1.926636e-05 2.291401e-05 #>  [5434,] 1.279264e-05 1.239889e-05 1.220812e-05 1.436050e-05 1.526234e-05 #>  [5435,] 1.402740e-05 1.437665e-05 1.400090e-05 1.483109e-05 1.473003e-05 #>  [5436,] 1.154254e-05 1.132375e-05 1.314000e-05 1.207658e-05 1.211983e-05 #>  [5437,] 1.286497e-05 1.294402e-05 1.288239e-05 1.339618e-05 1.458257e-05 #>  [5438,] 1.237670e-05 1.296859e-05 1.521664e-05 1.607522e-05 1.568227e-05 #>  [5439,] 1.624999e-05 1.720732e-05 1.536164e-05 1.567742e-05 1.635474e-05 #>  [5440,] 1.189073e-05 1.171339e-05 1.196335e-05 1.306131e-05 1.309433e-05 #>  [5441,] 1.433324e-05 1.388872e-05 1.526905e-05 1.563390e-05 1.877811e-05 #>  [5442,] 1.861943e-05 2.007820e-05 2.335822e-05 2.249856e-05 2.161378e-05 #>  [5443,] 1.339930e-05 1.400048e-05 1.403873e-05 1.373451e-05 1.285476e-05 #>  [5444,] 1.203226e-05 1.358324e-05 1.584374e-05 1.660423e-05 1.734057e-05 #>  [5445,] 1.614383e-05 1.896073e-05 1.243104e-05 1.200521e-05 1.226296e-05 #>  [5446,] 1.347791e-05 1.284031e-05 1.692450e-05 1.783018e-05 1.689227e-05 #>  [5447,] 1.623645e-05 1.768118e-05 1.218763e-05 1.237653e-05 1.294579e-05 #>  [5448,] 1.804590e-05 2.709415e-05 3.670903e-05 3.774312e-05 4.119678e-05 #>  [5449,] 1.465396e-05 1.586117e-05 1.321425e-05 1.342371e-05 1.309846e-05 #>  [5450,] 1.355276e-05 1.380949e-05 1.409685e-05 1.420309e-05 1.427163e-05 #>  [5451,] 1.304372e-05 1.251800e-05 1.138677e-05 1.237327e-05 1.308662e-05 #>  [5452,] 1.065385e-05 1.025805e-05 1.097890e-05 1.177997e-05 1.247389e-05 #>  [5453,] 3.057992e-05 3.031447e-05 4.730801e-05 5.998917e-05 6.015325e-05 #>  [5454,] 1.695367e-04 1.952656e-04 1.585338e-04 1.686479e-04 2.025556e-04 #>  [5455,] 1.214387e-05 1.248272e-05 1.442348e-05 1.577917e-05 1.481253e-05 #>  [5456,] 1.234840e-05 1.251050e-05 1.145420e-05 1.326674e-05 1.294516e-05 #>  [5457,] 3.341114e-05 4.174641e-05 5.458904e-05 6.275244e-05 7.627837e-05 #>  [5458,] 2.062070e-05 2.163656e-05 2.585719e-05 3.037300e-05 3.684875e-05 #>  [5459,] 1.016475e-04 6.547972e-05 1.104510e-04 7.063744e-05 5.646923e-05 #>  [5460,] 1.617778e-05 1.450493e-05 1.514737e-05 1.568693e-05 1.494532e-05 #>  [5461,] 1.465005e-05 1.358332e-05 1.504773e-05 1.510194e-05 1.507092e-05 #>  [5462,] 1.133282e-05 1.055773e-05 1.164372e-05 1.152284e-05 1.131351e-05 #>  [5463,] 1.501043e-05 1.534228e-05 2.018740e-05 2.075509e-05 1.803437e-05 #>  [5464,] 1.223856e-05 1.098943e-05 1.122548e-05 1.308753e-05 1.247093e-05 #>  [5465,] 2.820746e-05 2.902289e-05 2.023548e-05 1.491282e-05 8.998313e-05 #>  [5466,] 1.343499e-05 1.253244e-05 1.286785e-05 1.356739e-05 1.383001e-05 #>  [5467,] 1.226490e-05 1.243257e-05 1.304493e-05 1.497677e-05 1.498205e-05 #>  [5468,] 2.312442e-05 2.387361e-05 1.934189e-05 1.988331e-05 2.041235e-05 #>  [5469,] 3.578095e-05 7.215580e-05 1.344046e-04 1.323641e-04 1.841716e-04 #>  [5470,] 1.324860e-05 1.336075e-05 1.515774e-05 1.602907e-05 1.475946e-05 #>  [5471,] 1.788556e-05 1.777412e-05 1.748271e-05 1.654579e-05 1.447699e-05 #>  [5472,] 1.190001e-05 1.192361e-05 1.151459e-05 1.248084e-05 1.578893e-05 #>  [5473,] 1.096234e-05 1.094299e-05 1.117448e-05 1.095078e-05 1.060914e-05 #>  [5474,] 2.343034e-05 2.078966e-05 2.379371e-05 2.732164e-05 2.488237e-05 #>  [5475,] 5.176886e-05 5.630708e-05 4.991316e-05 4.964387e-05 6.044547e-05 #>  [5476,] 1.348252e-05 1.361243e-05 1.995054e-05 2.038257e-05 1.997541e-05 #>  [5477,] 1.658878e-05 2.002787e-05 2.942243e-05 2.632601e-05 2.390301e-05 #>  [5478,] 1.458075e-05 1.681935e-05 1.635812e-05 1.660318e-05 1.504004e-05 #>  [5479,] 4.353315e-05 2.462680e-05 2.460194e-05 2.483902e-05 2.661437e-05 #>  [5480,] 1.327172e-05 1.685268e-05 1.956981e-05 2.347669e-05 2.971662e-05 #>  [5481,] 1.706508e-05 1.871991e-05 1.940572e-05 2.248821e-05 1.987959e-05 #>  [5482,] 2.288730e-04 2.665903e-04 4.435053e-04 4.777983e-04 7.060422e-04 #>  [5483,] 1.801337e-05 2.994288e-05 7.931377e-05 6.259731e-05 5.491838e-05 #>  [5484,] 1.124351e-05 1.167086e-05 1.230827e-05 1.234594e-05 1.322759e-05 #>  [5485,] 1.896146e-05 2.576661e-05 6.419448e-05 7.510729e-05 1.066659e-04 #>  [5486,] 1.230164e-05 1.291323e-05 1.534257e-05 1.545098e-05 1.660668e-05 #>  [5487,] 1.903819e-05 2.053649e-05 2.030914e-05 1.876248e-05 2.143487e-05 #>  [5488,] 1.500745e-05 1.457671e-05 2.180677e-05 3.052427e-05 3.706364e-05 #>  [5489,] 1.987922e-05 2.332296e-05 4.089069e-05 3.453951e-05 4.881687e-05 #>  [5490,] 1.252238e-05 1.291898e-05 1.558687e-05 1.588591e-05 1.441879e-05 #>  [5491,] 2.209444e-05 1.609073e-05 1.587633e-05 1.664837e-05 1.605346e-05 #>  [5492,] 1.784380e-05 1.428812e-05 1.495509e-05 1.508296e-05 1.602735e-05 #>  [5493,] 2.690412e-05 2.170768e-05 2.291824e-05 2.159985e-05 2.369744e-05 #>  [5494,] 1.196541e-05 1.203175e-05 1.243675e-05 1.254843e-05 1.306027e-05 #>  [5495,] 1.365975e-05 1.335379e-05 1.322162e-05 1.446123e-05 1.501122e-05 #>  [5496,] 1.289067e-05 1.260848e-05 1.422449e-05 1.486419e-05 1.397960e-05 #>  [5497,] 2.651741e-05 3.464272e-05 6.696719e-05 4.567470e-05 3.572081e-05 #>  [5498,] 1.220350e-05 1.323974e-05 1.632431e-05 1.364144e-05 1.462522e-05 #>  [5499,] 4.394641e-05 4.101270e-05 3.476100e-05 3.603281e-05 3.083184e-05 #>  [5500,] 1.237041e-05 1.259161e-05 1.443419e-05 1.325196e-05 1.453406e-05 #>  [5501,] 1.312890e-05 1.357715e-05 1.543163e-05 1.584079e-05 1.512080e-05 #>  [5502,] 1.211624e-05 1.220386e-05 1.098420e-05 1.131501e-05 1.129426e-05 #>  [5503,] 1.949348e-04 1.150146e-04 1.987706e-04 2.199795e-04 1.790799e-04 #>  [5504,] 1.992763e-05 2.681921e-05 2.468902e-05 2.431555e-05 2.923679e-05 #>  [5505,] 1.199051e-05 1.333547e-05 1.465812e-05 1.433402e-05 1.564072e-05 #>  [5506,] 1.006008e-05 9.615219e-06 1.050818e-05 1.082744e-05 1.017628e-05 #>  [5507,] 2.296168e-05 3.251160e-05 1.966842e-05 2.029441e-05 2.541396e-05 #>  [5508,] 2.574926e-05 2.329326e-05 2.361138e-05 2.708194e-05 3.877564e-05 #>  [5509,] 1.764781e-05 1.712103e-05 1.629519e-05 1.988998e-05 2.158005e-05 #>  [5510,] 1.641493e-04 1.864856e-04 1.257401e-04 1.276319e-04 1.444993e-04 #>  [5511,] 1.731867e-05 1.577601e-05 1.540791e-05 1.888159e-05 2.558226e-05 #>  [5512,] 1.268160e-05 1.256318e-05 1.291066e-05 1.296780e-05 1.301244e-05 #>  [5513,] 1.195481e-05 1.208971e-05 1.226659e-05 1.450289e-05 1.559488e-05 #>  [5514,] 1.182821e-05 1.141018e-05 1.197531e-05 1.193034e-05 1.294948e-05 #>  [5515,] 3.262617e-04 3.380873e-04 3.407554e-04 3.886902e-04 3.315338e-04 #>  [5516,] 1.178362e-05 1.142200e-05 1.208152e-05 1.310230e-05 1.461709e-05 #>  [5517,] 1.271830e-05 1.174604e-05 1.171890e-05 1.414527e-05 1.462154e-05 #>  [5518,] 1.839419e-04 1.551528e-04 1.650459e-04 1.733407e-04 2.335875e-04 #>  [5519,] 1.190441e-05 1.242666e-05 1.362864e-05 1.419627e-05 1.569363e-05 #>  [5520,] 1.322989e-05 1.539389e-05 1.645556e-05 1.470985e-05 1.612700e-05 #>  [5521,] 1.173308e-05 1.131721e-05 1.256004e-05 1.346649e-05 1.351734e-05 #>  [5522,] 1.379795e-04 1.114810e-04 1.841564e-04 1.901442e-04 4.410191e-04 #>  [5523,] 1.348352e-05 1.599296e-05 2.063106e-05 1.472742e-05 1.530109e-05 #>  [5524,] 1.340998e-05 1.588399e-05 1.460163e-05 1.955179e-05 2.865354e-05 #>  [5525,] 1.969473e-04 3.987448e-04 1.231580e-04 9.250632e-05 1.119789e-04 #>  [5526,] 3.398272e-04 3.660091e-04 3.395424e-04 2.817278e-04 2.528757e-04 #>  [5527,] 1.283633e-05 1.265558e-05 1.381776e-05 1.465192e-05 1.501784e-05 #>  [5528,] 1.039622e-05 1.094673e-05 1.555086e-05 1.084582e-05 1.108734e-05 #>  [5529,] 1.359370e-05 1.389684e-05 1.449561e-05 1.491938e-05 1.492113e-05 #>  [5530,] 9.915997e-04 9.090138e-04 1.275119e-03 1.178115e-03 1.111594e-03 #>  [5531,] 1.229632e-05 1.171783e-05 1.342649e-05 1.500637e-05 1.549497e-05 #>  [5532,] 1.312231e-05 1.450010e-05 1.582262e-05 1.393407e-05 1.524342e-05 #>  [5533,] 7.454281e-04 8.231950e-04 6.661430e-04 4.546831e-04 5.492013e-04 #>  [5534,] 1.422895e-05 1.391555e-05 1.324014e-05 1.565888e-05 1.573451e-05 #>  [5535,] 4.894053e-05 5.075249e-05 7.399728e-05 6.890284e-05 5.443615e-05 #>  [5536,] 1.430808e-05 1.340802e-05 1.346942e-05 1.419040e-05 1.362110e-05 #>  [5537,] 1.991362e-05 2.559612e-05 2.551239e-05 2.614910e-05 2.242140e-05 #>  [5538,] 1.122082e-04 2.312746e-04 2.852220e-04 2.955745e-04 4.736460e-04 #>  [5539,] 3.875710e-04 2.922990e-04 8.487415e-05 1.509818e-04 1.142487e-04 #>  [5540,] 1.960079e-05 2.057972e-05 1.770143e-05 1.870763e-05 2.029108e-05 #>  [5541,] 2.231304e-05 2.152384e-05 2.143236e-05 2.503664e-05 2.411758e-05 #>  [5542,] 1.308927e-05 1.240612e-05 1.302433e-05 1.471203e-05 1.539994e-05 #>  [5543,] 3.453547e-05 1.878408e-05 1.718994e-05 1.817686e-05 1.870902e-05 #>  [5544,] 1.778038e-05 2.073863e-05 2.264251e-05 2.032139e-05 1.885641e-05 #>  [5545,] 1.345538e-05 1.368729e-05 1.881340e-05 2.061936e-05 1.634206e-05 #>  [5546,] 1.247856e-05 1.481991e-05 1.644764e-05 1.405650e-05 1.536239e-05 #>  [5547,] 1.512251e-05 1.613864e-05 1.289299e-05 1.274363e-05 1.346189e-05 #>  [5548,] 1.297312e-05 1.230532e-05 1.214324e-05 1.362328e-05 1.335378e-05 #>  [5549,] 1.287594e-05 1.196454e-05 1.242662e-05 1.477406e-05 1.564577e-05 #>  [5550,] 2.445792e-05 1.559713e-05 1.792125e-05 1.915535e-05 1.868764e-05 #>  [5551,] 3.818685e-05 5.127661e-05 4.272113e-05 4.833650e-05 5.348592e-05 #>  [5552,] 1.605869e-05 1.579406e-05 1.657891e-05 1.723344e-05 1.911335e-05 #>  [5553,] 1.503947e-05 2.319553e-05 9.487730e-05 7.737616e-05 7.909368e-05 #>  [5554,] 1.139310e-05 1.138787e-05 1.225869e-05 1.359581e-05 1.399789e-05 #>  [5555,] 1.167955e-05 1.237144e-05 1.348281e-05 1.573675e-05 1.583044e-05 #>  [5556,] 1.331917e-05 1.417206e-05 1.389868e-05 1.506589e-05 1.434813e-05 #>  [5557,] 1.289814e-05 1.183556e-05 1.262140e-05 1.205242e-05 1.225813e-05 #>  [5558,] 1.294064e-05 1.295370e-05 1.410102e-05 1.551999e-05 1.646977e-05 #>  [5559,] 2.356513e-05 2.333770e-05 2.482885e-05 2.258630e-05 1.934400e-05 #>  [5560,] 7.110482e-05 1.151389e-04 2.550460e-04 4.052798e-05 8.254829e-05 #>  [5561,] 1.470494e-05 1.441656e-05 1.572624e-05 1.349769e-05 1.361155e-05 #>  [5562,] 1.182933e-05 1.283943e-05 1.461242e-05 1.522914e-05 1.948441e-05 #>  [5563,] 4.767920e-04 5.111348e-04 3.064722e-04 2.684531e-04 5.228320e-04 #>  [5564,] 1.893398e-05 3.645696e-05 6.128447e-05 6.942553e-05 5.188768e-05 #>  [5565,] 9.975140e-05 1.113636e-04 1.354854e-04 1.676163e-04 1.458742e-04 #>  [5566,] 1.395090e-05 1.487473e-05 1.484092e-05 1.562931e-05 1.603916e-05 #>  [5567,] 1.308310e-05 1.351565e-05 1.380922e-05 1.449942e-05 1.551191e-05 #>  [5568,] 1.212755e-05 1.171024e-05 1.290986e-05 1.293021e-05 1.346279e-05 #>  [5569,] 1.180233e-05 1.303729e-05 1.331772e-05 1.473263e-05 1.516567e-05 #>  [5570,] 1.398361e-05 1.430975e-05 1.638653e-05 1.573144e-05 1.483050e-05 #>  [5571,] 2.332502e-05 2.363655e-05 3.931757e-05 3.459234e-05 2.814458e-05 #>  [5572,] 9.547708e-05 1.901168e-04 2.562614e-04 3.718965e-04 5.914501e-04 #>  [5573,] 1.263056e-05 1.373174e-05 1.482288e-05 1.409106e-05 1.542621e-05 #>  [5574,] 1.211053e-05 1.189877e-05 1.256928e-05 1.370407e-05 1.338725e-05 #>  [5575,] 1.280333e-05 1.326134e-05 1.404049e-05 1.477979e-05 1.528227e-05 #>  [5576,] 1.812120e-05 2.264923e-05 4.286389e-05 7.255669e-05 1.025029e-04 #>  [5577,] 2.259671e-05 2.028163e-05 2.801273e-05 4.091707e-05 4.053673e-05 #>  [5578,] 3.745899e-05 2.992485e-05 3.929201e-05 4.002522e-05 5.241702e-05 #>  [5579,] 2.462210e-05 2.366811e-05 2.063652e-05 2.216513e-05 2.368512e-05 #>  [5580,] 1.293281e-05 1.198823e-05 1.200318e-05 1.337073e-05 1.414954e-05 #>  [5581,] 1.615271e-05 1.537261e-05 1.588050e-05 1.765636e-05 1.851084e-05 #>  [5582,] 1.411358e-05 1.410174e-05 1.508658e-05 1.673323e-05 1.776539e-05 #>  [5583,] 8.746990e-04 9.698854e-04 1.102529e-03 1.075578e-03 1.023555e-03 #>  [5584,] 5.343943e-05 3.925014e-05 3.031599e-05 3.956415e-05 2.630508e-05 #>  [5585,] 1.720293e-05 1.901770e-05 1.633532e-05 1.629510e-05 1.613086e-05 #>  [5586,] 1.712296e-05 1.828819e-05 1.743358e-05 1.870922e-05 2.198236e-05 #>  [5587,] 1.273723e-05 1.330648e-05 1.254858e-05 1.300710e-05 1.381336e-05 #>  [5588,] 1.221391e-05 1.279693e-05 1.394094e-05 1.306940e-05 1.413447e-05 #>  [5589,] 1.367578e-05 1.367751e-05 1.440468e-05 1.471775e-05 1.563001e-05 #>  [5590,] 4.872468e-05 4.015687e-05 3.056141e-05 3.220365e-05 3.473720e-05 #>  [5591,] 1.654164e-05 1.733418e-05 2.408742e-05 2.553196e-05 2.084245e-05 #>  [5592,] 5.852878e-05 7.188533e-05 5.256419e-05 6.276916e-05 6.153529e-05 #>  [5593,] 7.568928e-05 6.204251e-05 1.210398e-04 1.497820e-04 2.194939e-04 #>  [5594,] 1.540087e-05 1.570601e-05 2.130260e-05 1.983701e-05 1.631635e-05 #>  [5595,] 1.250286e-05 1.332894e-05 1.500075e-05 1.481036e-05 1.474982e-05 #>  [5596,] 1.620903e-05 1.962582e-05 1.941073e-05 2.130999e-05 2.355420e-05 #>  [5597,] 1.111224e-05 1.204318e-05 1.324306e-05 1.243128e-05 1.329021e-05 #>  [5598,] 1.769382e-05 1.719228e-05 1.692177e-05 1.760561e-05 1.874900e-05 #>  [5599,] 1.464295e-05 1.601366e-05 1.710085e-05 1.678034e-05 1.735596e-05 #>  [5600,] 1.120136e-05 1.032296e-05 1.286738e-05 1.155325e-05 1.406951e-05 #>  [5601,] 1.152553e-05 1.179829e-05 1.183101e-05 1.300089e-05 1.229798e-05 #>  [5602,] 2.181043e-04 2.238402e-04 1.634461e-04 1.193856e-04 1.326807e-04 #>  [5603,] 2.354650e-05 3.150632e-05 2.295513e-05 2.032793e-05 2.129443e-05 #>  [5604,] 5.120146e-05 6.699740e-05 6.161963e-05 6.680325e-05 4.589687e-05 #>  [5605,] 1.295626e-05 1.383487e-05 1.880090e-05 1.786608e-05 1.587561e-05 #>  [5606,] 3.993001e-05 2.993779e-05 4.609550e-05 3.643119e-05 4.178158e-05 #>  [5607,] 4.581734e-05 3.204964e-05 2.919559e-05 2.271146e-05 1.953757e-05 #>  [5608,] 1.577030e-05 1.602081e-05 1.439871e-05 1.487766e-05 1.469252e-05 #>  [5609,] 1.352077e-05 1.351781e-05 1.545191e-05 1.555027e-05 1.503235e-05 #>  [5610,] 1.312736e-05 1.373617e-05 1.499389e-05 1.515225e-05 1.599577e-05 #>  [5611,] 1.357331e-05 1.663956e-05 1.884507e-05 1.653246e-05 1.997991e-05 #>  [5612,] 1.231209e-05 1.151331e-05 1.190835e-05 1.428445e-05 1.463200e-05 #>  [5613,] 3.652858e-05 3.043610e-05 2.671050e-05 3.233321e-05 3.167898e-05 #>  [5614,] 1.525403e-05 1.582776e-05 2.599164e-05 3.215054e-05 4.076950e-05 #>  [5615,] 1.662184e-05 2.719478e-05 4.585421e-05 3.168258e-05 2.843062e-05 #>  [5616,] 1.214270e-05 1.347448e-05 1.367920e-05 1.282054e-05 1.271341e-05 #>  [5617,] 1.170604e-05 1.243781e-05 1.220132e-05 1.286129e-05 1.289519e-05 #>  [5618,] 1.429390e-05 1.357480e-05 1.562871e-05 1.572521e-05 1.462555e-05 #>  [5619,] 1.207973e-05 1.279695e-05 1.379899e-05 1.268723e-05 1.303036e-05 #>  [5620,] 1.001900e-04 8.297741e-05 6.725670e-05 1.092749e-04 7.873513e-05 #>  [5621,] 1.237072e-05 1.423246e-05 1.334788e-05 1.310366e-05 1.480456e-05 #>  [5622,] 1.505870e-05 1.724743e-05 1.691722e-05 1.673800e-05 1.621221e-05 #>  [5623,] 3.117107e-05 2.747016e-05 4.430908e-05 5.239762e-05 1.027298e-04 #>  [5624,] 1.196010e-05 1.166333e-05 1.114232e-05 1.238276e-05 1.237465e-05 #>  [5625,] 1.321914e-05 1.459250e-05 1.641283e-05 1.486269e-05 1.636089e-05 #>  [5626,] 2.809825e-05 3.295598e-05 6.328260e-05 6.130107e-05 5.098192e-05 #>  [5627,] 1.471185e-05 1.641784e-05 2.127718e-05 1.995637e-05 1.837619e-05 #>  [5628,] 1.102677e-05 1.187839e-05 1.088451e-05 1.219558e-05 1.235467e-05 #>  [5629,] 1.472184e-05 1.439864e-05 1.390484e-05 1.467854e-05 1.525767e-05 #>  [5630,] 1.579107e-05 1.593286e-05 1.556801e-05 1.716291e-05 1.669664e-05 #>  [5631,] 1.525930e-05 2.570410e-05 3.143754e-05 5.006087e-05 1.621283e-04 #>  [5632,] 1.577606e-05 1.656156e-05 1.553292e-05 1.684056e-05 1.771649e-05 #>  [5633,] 2.459051e-05 1.931625e-05 2.182248e-05 2.868496e-05 4.182779e-05 #>  [5634,] 1.445539e-05 1.637172e-05 1.645570e-05 1.485837e-05 1.596359e-05 #>  [5635,] 1.409742e-05 1.363271e-05 1.674674e-05 1.851205e-05 1.682376e-05 #>  [5636,] 8.448272e-05 9.767640e-05 2.318450e-04 2.596969e-04 2.205216e-04 #>  [5637,] 1.509509e-05 1.392183e-05 1.526974e-05 1.788191e-05 1.736414e-05 #>  [5638,] 1.434947e-05 1.991404e-05 2.094524e-05 1.754445e-05 2.046359e-05 #>  [5639,] 1.419650e-04 9.938947e-05 1.065283e-04 1.134846e-04 1.161524e-04 #>  [5640,] 1.546454e-05 1.766670e-05 1.583071e-05 1.521271e-05 1.593593e-05 #>  [5641,] 1.008803e-03 9.774923e-04 8.159027e-04 7.887485e-04 6.442343e-04 #>  [5642,] 1.685303e-05 1.600596e-05 1.997864e-05 2.337469e-05 2.413858e-05 #>  [5643,] 2.158894e-05 1.323539e-05 1.287562e-05 1.300488e-05 1.426769e-05 #>  [5644,] 1.300393e-04 1.352316e-04 4.459959e-04 5.818595e-04 3.514462e-04 #>  [5645,] 1.442314e-05 1.580897e-05 2.379313e-05 2.112244e-05 1.816043e-05 #>  [5646,] 1.476233e-05 1.347285e-05 1.544601e-05 1.633246e-05 1.568526e-05 #>  [5647,] 1.457300e-05 1.305766e-05 1.502788e-05 1.634099e-05 1.522349e-05 #>  [5648,] 1.897672e-05 2.606530e-05 1.857626e-05 1.745452e-05 2.423247e-05 #>  [5649,] 1.227625e-05 1.505603e-05 1.728429e-05 1.640994e-05 1.775586e-05 #>  [5650,] 1.106299e-05 1.068849e-05 1.235123e-05 1.303504e-05 1.325915e-05 #>  [5651,] 1.301739e-05 1.383969e-05 1.521752e-05 1.469132e-05 1.457197e-05 #>  [5652,] 1.632026e-05 1.971230e-05 2.385375e-05 2.064049e-05 2.234035e-05 #>  [5653,] 5.154901e-05 3.597968e-05 4.305457e-05 3.809330e-05 3.226566e-05 #>  [5654,] 1.239591e-05 1.302179e-05 1.322874e-05 1.354158e-05 1.331359e-05 #>  [5655,] 1.498032e-05 1.340663e-05 1.642357e-05 1.892279e-05 2.129781e-05 #>  [5656,] 1.532888e-05 1.326502e-05 1.452054e-05 1.599673e-05 1.475626e-05 #>  [5657,] 1.351210e-05 1.988607e-05 5.465517e-05 3.769047e-05 4.122250e-05 #>  [5658,] 2.205888e-05 2.220860e-05 2.579234e-05 2.933776e-05 2.448282e-05 #>  [5659,] 1.400663e-05 1.446731e-05 1.352873e-05 1.612327e-05 1.683084e-05 #>  [5660,] 1.550771e-05 1.479339e-05 1.350354e-05 1.442092e-05 1.416335e-05 #>  [5661,] 4.057779e-04 5.808395e-04 1.792185e-04 2.400823e-04 4.586664e-04 #>  [5662,] 5.124466e-05 5.249034e-05 4.245092e-05 4.299092e-05 3.738146e-05 #>  [5663,] 2.043703e-05 2.980655e-05 6.265992e-05 6.907935e-05 1.738717e-04 #>  [5664,] 1.176496e-05 1.303414e-05 1.450763e-05 1.415382e-05 1.502058e-05 #>  [5665,] 1.133948e-05 1.242491e-05 1.393152e-05 1.394408e-05 1.796396e-05 #>  [5666,] 1.345445e-05 1.474695e-05 1.449062e-05 1.511978e-05 1.485979e-05 #>  [5667,] 1.851372e-05 2.956759e-05 1.643268e-05 1.641820e-05 1.682497e-05 #>  [5668,] 3.363873e-04 3.645510e-04 9.679369e-04 7.513537e-04 5.101109e-04 #>  [5669,] 1.284248e-04 2.376572e-04 4.565579e-04 4.640116e-04 4.661851e-04 #>  [5670,] 9.816422e-05 5.813934e-05 2.680915e-05 4.174114e-05 4.880452e-05 #>  [5671,] 1.236921e-05 1.355934e-05 1.638815e-05 1.569495e-05 1.564071e-05 #>  [5672,] 2.422741e-05 4.338767e-05 4.510022e-05 3.918154e-05 4.549798e-05 #>  [5673,] 1.255316e-05 1.236967e-05 1.303655e-05 1.523667e-05 1.507555e-05 #>  [5674,] 1.385780e-05 1.387872e-05 1.649237e-05 1.566993e-05 1.548998e-05 #>  [5675,] 1.700376e-05 1.796417e-05 2.531486e-05 2.681869e-05 2.535649e-05 #>  [5676,] 2.740979e-05 3.980664e-05 4.566096e-05 4.790830e-05 5.481239e-05 #>  [5677,] 1.567915e-05 1.701032e-05 1.491653e-05 1.733242e-05 1.879049e-05 #>  [5678,] 1.537998e-05 1.482730e-05 1.736607e-05 2.095428e-05 2.603938e-05 #>  [5679,] 1.340291e-05 1.409907e-05 1.278387e-05 1.252537e-05 1.355303e-05 #>  [5680,] 1.821605e-05 1.387372e-05 1.296283e-05 1.415093e-05 1.368430e-05 #>  [5681,] 3.085236e-05 2.495585e-05 5.577495e-05 6.636421e-05 7.442571e-05 #>  [5682,] 2.038823e-04 1.812317e-04 6.342067e-04 5.230327e-04 3.106168e-04 #>  [5683,] 1.124568e-05 1.206553e-05 1.441201e-05 1.456316e-05 1.542299e-05 #>  [5684,] 1.314421e-05 1.276481e-05 1.633817e-05 1.618302e-05 1.663721e-05 #>  [5685,] 1.853753e-05 2.252412e-05 2.021706e-05 1.944336e-05 7.363752e-05 #>  [5686,] 1.184959e-05 1.166656e-05 1.307577e-05 1.447203e-05 1.425055e-05 #>  [5687,] 1.791095e-05 1.774393e-05 2.105618e-05 2.513171e-05 1.989852e-05 #>  [5688,] 1.364179e-05 1.425733e-05 1.752123e-05 1.789807e-05 1.573949e-05 #>  [5689,] 1.244738e-05 1.277996e-05 1.363498e-05 1.368003e-05 1.459266e-05 #>  [5690,] 1.269602e-05 1.538342e-05 1.580002e-05 1.419875e-05 1.520994e-05 #>  [5691,] 1.241948e-05 1.478155e-05 1.549501e-05 1.363746e-05 1.361856e-05 #>  [5692,] 1.104247e-05 1.067364e-05 1.077403e-05 1.122827e-05 1.101713e-05 #>  [5693,] 1.201164e-05 1.134912e-05 1.262065e-05 1.367161e-05 1.319994e-05 #>  [5694,] 1.226540e-05 1.136814e-05 1.240933e-05 1.398859e-05 1.569029e-05 #>  [5695,] 2.590759e-05 2.880635e-05 2.055798e-05 2.067859e-05 2.185391e-05 #>  [5696,] 5.928663e-04 3.888327e-04 4.134285e-04 5.338310e-04 6.757144e-04 #>  [5697,] 1.423253e-05 1.747282e-05 1.901658e-05 1.933550e-05 1.861173e-05 #>  [5698,] 1.289030e-05 1.221725e-05 1.304540e-05 1.246086e-05 1.251828e-05 #>  [5699,] 1.878186e-05 2.092442e-05 2.668512e-05 3.020572e-05 2.414070e-05 #>  [5700,] 1.252570e-05 1.311142e-05 1.354915e-05 1.348187e-05 1.307979e-05 #>  [5701,] 3.229421e-05 2.155464e-05 2.024831e-05 2.947644e-05 3.138366e-05 #>  [5702,] 4.315607e-05 4.382452e-05 3.275673e-05 3.298608e-05 3.909938e-05 #>  [5703,] 3.772514e-05 4.266935e-05 3.140366e-05 3.475082e-05 3.362246e-05 #>  [5704,] 2.044091e-05 1.631900e-05 1.595855e-05 1.686825e-05 1.531948e-05 #>  [5705,] 1.415374e-05 1.347648e-05 1.438047e-05 1.445804e-05 1.579103e-05 #>  [5706,] 1.421783e-04 1.126200e-04 9.845540e-05 1.159002e-04 1.576676e-04 #>  [5707,] 5.084258e-05 7.992126e-05 7.197333e-05 4.615178e-05 2.977685e-05 #>  [5708,] 1.294221e-05 1.438688e-05 1.978470e-05 2.491105e-05 4.713777e-05 #>  [5709,] 1.212389e-05 1.452088e-05 1.563055e-05 1.278880e-05 1.411192e-05 #>  [5710,] 3.739777e-05 2.652198e-05 2.316320e-05 2.674753e-05 2.627571e-05 #>  [5711,] 1.526433e-05 1.828536e-05 1.653548e-05 2.018159e-05 3.081057e-05 #>  [5712,] 6.291672e-05 4.895636e-05 6.191597e-05 7.469942e-05 9.153172e-05 #>  [5713,] 1.296386e-05 1.286374e-05 1.398429e-05 1.349500e-05 1.471717e-05 #>  [5714,] 1.457910e-05 1.697702e-05 1.690552e-05 1.637823e-05 1.592630e-05 #>  [5715,] 6.683258e-05 6.339711e-05 4.831776e-05 4.095585e-05 2.180518e-05 #>  [5716,] 5.118357e-05 6.169607e-05 4.854799e-05 6.510811e-05 8.832553e-05 #>  [5717,] 1.937914e-05 2.103718e-05 2.211618e-05 1.429143e-05 2.034015e-05 #>  [5718,] 1.131124e-05 1.168270e-05 1.226343e-05 1.242454e-05 1.236556e-05 #>  [5719,] 1.999397e-05 2.309413e-05 3.758793e-05 3.915081e-05 6.944613e-05 #>  [5720,] 1.589211e-05 1.516918e-05 1.428658e-05 1.482899e-05 1.563568e-05 #>  [5721,] 2.395115e-05 1.979437e-05 1.901600e-05 2.404598e-05 2.524925e-05 #>  [5722,] 1.288935e-05 1.428962e-05 1.468219e-05 1.342201e-05 1.446288e-05 #>  [5723,] 1.502833e-05 1.722916e-05 2.682227e-05 2.267728e-05 2.175460e-05 #>  [5724,] 1.450418e-05 1.349948e-05 1.754449e-05 1.695701e-05 1.680934e-05 #>  [5725,] 1.304198e-05 1.405720e-05 1.395390e-05 1.456691e-05 1.334042e-05 #>  [5726,] 1.496135e-05 2.654855e-05 1.575301e-05 1.225332e-05 1.182725e-05 #>  [5727,] 1.193058e-05 1.070261e-05 1.150780e-05 1.299436e-05 1.399828e-05 #>  [5728,] 9.191576e-04 7.305204e-04 9.981115e-04 1.089188e-03 8.934276e-04 #>  [5729,] 1.270435e-05 1.251397e-05 1.262232e-05 1.379096e-05 1.459045e-05 #>  [5730,] 1.456550e-05 1.418648e-05 1.818656e-05 1.309305e-05 2.242050e-05 #>  [5731,] 1.696294e-05 2.036023e-05 2.843271e-05 2.149200e-05 1.876405e-05 #>  [5732,] 4.508248e-04 5.003136e-04 8.233701e-04 6.798169e-04 4.773699e-04 #>  [5733,] 1.203998e-05 1.400672e-05 1.429109e-05 1.405668e-05 1.546969e-05 #>  [5734,] 1.075532e-05 1.005475e-05 1.077735e-05 1.095234e-05 1.183241e-05 #>  [5735,] 1.218111e-05 1.160204e-05 1.166863e-05 1.288296e-05 1.292790e-05 #>  [5736,] 1.061711e-05 1.118100e-05 1.119123e-05 1.194737e-05 1.290026e-05 #>  [5737,] 1.682657e-05 1.776244e-05 1.969521e-05 1.913156e-05 1.719709e-05 #>  [5738,] 1.585000e-05 1.697544e-05 1.807821e-05 2.058345e-05 2.060982e-05 #>  [5739,] 1.395424e-05 1.303305e-05 1.289515e-05 1.430053e-05 1.564858e-05 #>  [5740,] 1.165747e-05 1.050578e-05 1.206254e-05 1.229925e-05 1.239694e-05 #>  [5741,] 1.147361e-05 1.199254e-05 1.412907e-05 1.398609e-05 1.529804e-05 #>  [5742,] 1.391967e-05 1.385218e-05 1.308704e-05 1.334173e-05 1.375308e-05 #>  [5743,] 1.066852e-05 1.097854e-05 1.129349e-05 1.173751e-05 1.230104e-05 #>  [5744,] 3.323961e-05 4.167633e-05 3.576061e-05 4.559772e-05 5.402967e-05 #>  [5745,] 2.390439e-05 2.917645e-05 2.883793e-05 2.617054e-05 1.701486e-05 #>  [5746,] 1.869422e-05 1.399141e-05 1.402975e-05 1.407830e-05 1.487312e-05 #>  [5747,] 1.253952e-05 1.274208e-05 1.271480e-05 1.302414e-05 1.292148e-05 #>  [5748,] 1.172589e-05 1.400895e-05 1.356944e-05 1.433084e-05 1.532484e-05 #>  [5749,] 1.449442e-05 1.492434e-05 1.539845e-05 1.520413e-05 1.542011e-05 #>  [5750,] 1.289387e-05 1.283934e-05 1.256897e-05 1.297516e-05 1.307087e-05 #>  [5751,] 3.209872e-05 2.977368e-05 2.167051e-05 2.298507e-05 3.466673e-05 #>  [5752,] 1.381900e-05 1.526558e-05 1.375583e-05 1.429867e-05 2.095447e-05 #>  [5753,] 1.678663e-05 1.604719e-05 1.594569e-05 1.710531e-05 1.920409e-05 #>  [5754,] 1.827477e-05 2.731850e-05 8.132859e-05 1.006504e-04 8.128230e-05 #>  [5755,] 3.410602e-05 4.100743e-05 7.357498e-05 7.591961e-05 8.488586e-05 #>  [5756,] 2.071037e-05 3.550058e-05 4.161638e-05 3.883215e-05 3.483056e-05 #>  [5757,] 1.088346e-05 1.007312e-05 1.119386e-05 1.128023e-05 1.090585e-05 #>  [5758,] 1.294460e-05 1.252847e-05 1.211412e-05 1.305801e-05 1.362765e-05 #>  [5759,] 1.280776e-05 1.212943e-05 1.238142e-05 1.380602e-05 1.371068e-05 #>  [5760,] 1.248926e-05 1.197456e-05 1.176540e-05 1.181449e-05 1.185151e-05 #>  [5761,] 3.891847e-05 2.585082e-05 1.407973e-05 1.500463e-05 1.413426e-05 #>  [5762,] 1.098931e-05 1.172967e-05 1.181605e-05 1.111828e-05 1.150810e-05 #>  [5763,] 1.150471e-05 1.239165e-05 1.235493e-05 1.420209e-05 1.504298e-05 #>  [5764,] 2.435946e-05 2.518605e-05 2.001863e-05 1.846360e-05 2.131205e-05 #>  [5765,] 2.093911e-04 1.401605e-04 8.178402e-05 6.593499e-05 6.796047e-05 #>  [5766,] 1.417303e-05 1.404505e-05 1.228502e-05 1.366328e-05 1.423984e-05 #>  [5767,] 1.938932e-05 2.220045e-05 2.170032e-05 2.239442e-05 2.345088e-05 #>  [5768,] 1.710559e-05 1.922657e-05 3.252954e-05 3.390022e-05 4.202604e-05 #>  [5769,] 1.224040e-05 1.057505e-05 1.208175e-05 1.275775e-05 1.311396e-05 #>  [5770,] 2.407123e-05 3.066632e-05 2.741909e-05 2.792367e-05 2.117657e-05 #>  [5771,] 1.068838e-03 1.040079e-03 1.004594e-03 1.027856e-03 9.569743e-04 #>  [5772,] 1.205893e-05 1.201247e-05 1.162755e-05 1.081467e-05 1.153502e-05 #>  [5773,] 1.138970e-05 1.104712e-05 1.117392e-05 1.248131e-05 1.313184e-05 #>  [5774,] 1.104709e-05 1.100390e-05 1.043270e-05 1.055951e-05 1.125193e-05 #>  [5775,] 2.680311e-05 3.763602e-05 4.439991e-05 4.538910e-05 4.396683e-05 #>  [5776,] 1.730639e-05 2.036473e-05 1.920967e-05 1.854319e-05 2.088012e-05 #>  [5777,] 1.170898e-05 1.223006e-05 1.212026e-05 1.313089e-05 1.299538e-05 #>  [5778,] 1.289126e-05 1.328896e-05 1.361223e-05 1.372264e-05 1.453002e-05 #>  [5779,] 1.303935e-05 1.384548e-05 1.371685e-05 1.358268e-05 1.846353e-05 #>  [5780,] 1.244502e-04 1.514641e-04 1.490216e-04 1.553383e-04 1.620442e-04 #>  [5781,] 4.040155e-05 4.281766e-05 5.314556e-05 5.369822e-05 5.167922e-05 #>  [5782,] 2.509832e-05 2.574279e-05 2.750983e-05 2.960679e-05 2.744297e-05 #>  [5783,] 1.398219e-05 1.526884e-05 1.610644e-05 1.674847e-05 1.540526e-05 #>  [5784,] 1.400479e-05 1.431943e-05 1.439525e-05 1.357008e-05 1.274180e-05 #>  [5785,] 1.270657e-05 1.290068e-05 1.281723e-05 1.335345e-05 1.350278e-05 #>  [5786,] 2.410695e-05 2.691995e-05 2.617503e-05 2.424006e-05 2.588802e-05 #>  [5787,] 1.425933e-05 1.473897e-05 1.661072e-05 1.523603e-05 1.576262e-05 #>  [5788,] 1.308059e-05 1.212864e-05 1.330048e-05 1.510312e-05 1.390188e-05 #>  [5789,] 2.115941e-05 2.794797e-05 2.345855e-05 2.554229e-05 2.462816e-05 #>  [5790,] 1.026077e-05 1.012655e-05 1.119259e-05 1.132982e-05 1.025251e-05 #>  [5791,] 3.194009e-05 3.695486e-05 3.287908e-05 3.169891e-05 3.366890e-05 #>  [5792,] 1.257167e-05 1.116283e-05 1.214911e-05 1.429610e-05 1.510985e-05 #>  [5793,] 1.269330e-05 1.343116e-05 1.387087e-05 1.485275e-05 1.693399e-05 #>  [5794,] 1.759204e-05 1.760143e-05 1.833523e-05 1.639580e-05 1.731655e-05 #>  [5795,] 4.465645e-05 1.653098e-04 6.315752e-05 3.643545e-05 4.302157e-05 #>  [5796,] 2.840435e-05 4.100744e-05 1.726945e-05 1.989349e-05 2.168803e-05 #>  [5797,] 2.719511e-05 3.034883e-05 2.438347e-05 2.359463e-05 2.460056e-05 #>  [5798,] 2.121994e-05 2.678149e-05 2.868539e-05 2.701596e-05 2.885136e-05 #>  [5799,] 1.978964e-05 1.590340e-05 1.605526e-05 1.714974e-05 1.607636e-05 #>  [5800,] 1.232423e-05 1.305924e-05 1.543917e-05 1.644137e-05 1.530237e-05 #>  [5801,] 5.065427e-05 4.096798e-05 4.579676e-05 3.602687e-05 2.855864e-05 #>  [5802,] 1.920086e-05 3.096585e-05 2.471949e-05 2.557400e-05 1.851534e-05 #>  [5803,] 1.105253e-05 1.169355e-05 1.164710e-05 1.128217e-05 1.116125e-05 #>  [5804,] 1.126206e-05 1.135292e-05 1.155262e-05 1.163995e-05 1.227454e-05 #>  [5805,] 1.439393e-05 1.487454e-05 1.625906e-05 1.594980e-05 1.550665e-05 #>  [5806,] 1.263770e-05 1.403909e-05 1.549257e-05 1.437191e-05 1.505196e-05 #>  [5807,] 3.909937e-05 4.461128e-05 3.708883e-05 3.766787e-05 7.534529e-05 #>  [5808,] 1.283097e-05 1.242140e-05 1.292348e-05 1.280963e-05 1.364141e-05 #>  [5809,] 1.518777e-05 1.608576e-05 3.236515e-05 3.653953e-05 3.532685e-05 #>  [5810,] 1.256951e-05 1.288601e-05 1.289656e-05 1.399756e-05 1.352825e-05 #>  [5811,] 4.298333e-05 6.055843e-05 3.728861e-05 3.302367e-05 3.291542e-05 #>  [5812,] 1.157528e-05 1.168097e-05 1.203154e-05 1.381164e-05 1.554814e-05 #>  [5813,] 1.212261e-05 1.252488e-05 1.326506e-05 1.362901e-05 1.499903e-05 #>  [5814,] 1.810673e-05 1.962886e-05 1.510465e-05 1.559611e-05 1.567471e-05 #>  [5815,] 1.337348e-05 1.612697e-05 1.557078e-05 1.408853e-05 1.520566e-05 #>  [5816,] 1.151569e-05 1.077488e-05 1.220188e-05 1.269149e-05 1.216386e-05 #>  [5817,] 1.241164e-05 1.209721e-05 1.219647e-05 1.359806e-05 1.371000e-05 #>  [5818,] 1.181226e-05 1.219453e-05 1.342277e-05 1.500541e-05 1.492236e-05 #>  [5819,] 2.115843e-05 3.770410e-05 4.455694e-05 8.225756e-05 1.764169e-04 #>  [5820,] 1.210473e-05 1.145459e-05 1.177068e-05 1.385103e-05 1.462870e-05 #>  [5821,] 1.369792e-05 1.279927e-05 1.450955e-05 1.413139e-05 1.401711e-05 #>  [5822,] 1.376422e-05 1.289239e-05 1.674922e-05 1.936992e-05 1.975527e-05 #>  [5823,] 1.323330e-05 1.299355e-05 1.284092e-05 1.453804e-05 1.608080e-05 #>  [5824,] 1.153213e-05 1.221356e-05 1.190556e-05 1.138340e-05 1.223932e-05 #>  [5825,] 1.162673e-05 1.222077e-05 1.362519e-05 1.359997e-05 1.350138e-05 #>  [5826,] 1.174303e-05 1.222182e-05 1.397527e-05 1.607056e-05 1.760392e-05 #>  [5827,] 3.238798e-05 2.625951e-05 2.675144e-05 2.841504e-05 3.516092e-05 #>  [5828,] 5.382041e-05 5.051591e-05 3.682191e-05 4.739431e-05 5.156871e-05 #>  [5829,] 1.139736e-05 1.123223e-05 1.215706e-05 1.283049e-05 1.220006e-05 #>  [5830,] 1.626984e-05 1.341054e-05 1.441958e-05 1.665135e-05 1.568779e-05 #>  [5831,] 1.133107e-05 1.226024e-05 1.222185e-05 1.263541e-05 1.227145e-05 #>  [5832,] 3.532479e-05 4.342359e-05 5.770403e-05 4.482844e-05 5.091591e-05 #>  [5833,] 1.260028e-05 1.356285e-05 1.572052e-05 1.464585e-05 1.597097e-05 #>  [5834,] 1.865564e-05 2.560805e-05 1.981229e-05 1.991033e-05 2.274651e-05 #>  [5835,] 1.371776e-05 1.227300e-05 1.326905e-05 1.474357e-05 1.477985e-05 #>  [5836,] 2.236704e-05 2.097450e-05 1.837211e-05 1.622293e-05 1.900839e-05 #>  [5837,] 4.438884e-05 5.448568e-05 3.847344e-05 3.351145e-05 2.897759e-05 #>  [5838,] 1.062792e-05 1.099920e-05 1.201749e-05 1.103457e-05 1.089118e-05 #>  [5839,] 1.150821e-05 1.226357e-05 1.413952e-05 1.445902e-05 1.394232e-05 #>  [5840,] 1.158442e-05 1.228531e-05 1.258218e-05 1.365288e-05 1.410084e-05 #>  [5841,] 2.396594e-05 1.426261e-05 1.624221e-05 2.132700e-05 2.048608e-05 #>  [5842,] 1.184677e-05 1.305596e-05 1.414524e-05 1.411349e-05 1.504845e-05 #>  [5843,] 1.056370e-04 9.139468e-05 1.356812e-04 9.466898e-05 5.552173e-05 #>  [5844,] 3.722170e-04 3.516228e-04 2.715401e-04 2.980510e-04 2.626927e-04 #>  [5845,] 1.377984e-05 1.359773e-05 1.586053e-05 1.729887e-05 1.776087e-05 #>  [5846,] 1.988554e-05 1.547186e-05 1.558967e-05 1.683224e-05 1.779824e-05 #>  [5847,] 1.244700e-05 1.209163e-05 1.151616e-05 1.187832e-05 1.270533e-05 #>  [5848,] 3.931061e-05 1.684943e-05 2.617767e-05 1.539379e-05 2.271937e-05 #>  [5849,] 2.386741e-05 2.738392e-05 1.893399e-05 2.013284e-05 2.303181e-05 #>  [5850,] 1.420096e-05 1.450257e-05 1.506339e-05 1.644507e-05 1.719606e-05 #>  [5851,] 1.481548e-04 8.508207e-05 6.092653e-05 5.017770e-05 4.751449e-05 #>  [5852,] 1.131452e-05 1.148192e-05 1.249186e-05 1.196506e-05 1.164945e-05 #>  [5853,] 2.040053e-05 2.170388e-05 1.914456e-05 2.257539e-05 2.314109e-05 #>  [5854,] 1.245567e-05 1.225816e-05 1.401566e-05 1.573113e-05 1.443756e-05 #>  [5855,] 1.724481e-05 1.803542e-05 2.285284e-05 1.624113e-05 1.765702e-05 #>  [5856,] 2.125127e-05 2.515740e-05 1.548171e-05 1.732860e-05 1.782178e-05 #>  [5857,] 1.745117e-05 1.805721e-05 2.164848e-05 2.436886e-05 2.637810e-05 #>  [5858,] 1.368519e-05 1.259888e-05 1.423604e-05 1.459091e-05 1.416864e-05 #>  [5859,] 3.245629e-05 2.248589e-05 2.503015e-05 3.069436e-05 3.236196e-05 #>  [5860,] 1.618788e-05 1.931905e-05 1.349952e-05 1.587119e-05 1.672732e-05 #>  [5861,] 1.533305e-05 1.629582e-05 1.689219e-05 1.895346e-05 2.618265e-05 #>  [5862,] 1.222546e-05 1.206906e-05 1.180721e-05 1.326504e-05 1.220551e-05 #>  [5863,] 1.103221e-05 1.038520e-05 1.105502e-05 1.171546e-05 1.172448e-05 #>  [5864,] 1.371878e-05 1.435427e-05 1.383234e-05 1.394791e-05 1.420858e-05 #>  [5865,] 1.353599e-05 1.241343e-05 1.301268e-05 1.348868e-05 1.343328e-05 #>  [5866,] 1.186214e-05 1.140058e-05 1.348076e-05 1.470150e-05 1.502949e-05 #>  [5867,] 1.693739e-05 1.753735e-05 1.999197e-05 2.217712e-05 2.975159e-05 #>  [5868,] 1.293501e-05 1.514545e-05 1.467973e-05 1.490829e-05 1.494772e-05 #>  [5869,] 1.400150e-05 1.434378e-05 1.386404e-05 1.569303e-05 1.639809e-05 #>  [5870,] 1.549947e-05 1.726929e-05 1.502190e-05 1.506840e-05 1.621233e-05 #>  [5871,] 1.335192e-04 1.105404e-04 1.051750e-04 1.792170e-04 3.628615e-04 #>  [5872,] 1.353059e-05 1.544065e-05 1.872706e-05 1.951167e-05 2.827482e-05 #>  [5873,] 1.336437e-05 1.164012e-05 1.434850e-05 1.440796e-05 1.614918e-05 #>  [5874,] 1.156767e-05 1.089422e-05 1.112208e-05 1.243556e-05 1.194506e-05 #>  [5875,] 1.458417e-05 1.801726e-05 2.776905e-05 2.658530e-05 3.247954e-05 #>  [5876,] 2.653388e-05 2.254218e-05 1.732223e-05 1.997019e-05 2.177050e-05 #>  [5877,] 1.430670e-05 1.292626e-05 1.348088e-05 1.530113e-05 1.638741e-05 #>  [5878,] 2.857890e-05 1.521633e-05 1.883680e-05 1.781703e-05 1.763304e-05 #>  [5879,] 1.325282e-05 1.154821e-05 1.166831e-05 1.201084e-05 1.239569e-05 #>  [5880,] 1.266178e-05 1.313789e-05 1.254601e-05 1.306571e-05 1.297354e-05 #>  [5881,] 1.921311e-05 2.121096e-05 1.704432e-05 1.756093e-05 1.634673e-05 #>  [5882,] 7.134707e-05 1.008798e-04 1.284709e-04 1.766278e-04 2.093085e-04 #>  [5883,] 1.336839e-05 1.494478e-05 1.526425e-05 1.578218e-05 1.596798e-05 #>  [5884,] 1.248053e-05 1.253057e-05 1.281205e-05 1.299914e-05 1.352398e-05 #>  [5885,] 1.478379e-05 1.721860e-05 2.344927e-05 4.054778e-05 6.350375e-05 #>  [5886,] 1.259610e-05 1.240878e-05 1.290116e-05 1.396789e-05 1.482879e-05 #>  [5887,] 1.458843e-05 1.406741e-05 1.397644e-05 1.422300e-05 1.452719e-05 #>  [5888,] 1.351660e-05 1.470808e-05 1.587281e-05 1.535328e-05 1.475391e-05 #>  [5889,] 1.084892e-05 1.086521e-05 1.091858e-05 1.138666e-05 1.120910e-05 #>  [5890,] 1.440222e-05 1.486970e-05 1.503233e-05 1.510197e-05 1.535778e-05 #>  [5891,] 1.121985e-05 1.110371e-05 1.246983e-05 1.130600e-05 1.179411e-05 #>  [5892,] 4.367166e-05 3.795479e-05 6.054165e-05 4.906910e-05 4.867650e-05 #>  [5893,] 2.324691e-05 3.820218e-05 5.305917e-05 8.176725e-05 1.968718e-04 #>  [5894,] 1.337578e-05 1.545877e-05 1.770306e-05 1.737552e-05 1.683459e-05 #>  [5895,] 1.220789e-05 1.227032e-05 1.174011e-05 1.317580e-05 1.392940e-05 #>  [5896,] 1.120464e-05 1.238510e-05 1.162657e-05 1.177674e-05 1.275838e-05 #>  [5897,] 1.714988e-05 1.534338e-05 2.276700e-05 2.088155e-05 1.967527e-05 #>  [5898,] 1.391787e-05 1.420777e-05 1.402999e-05 1.508877e-05 1.500359e-05 #>  [5899,] 1.265391e-05 1.271128e-05 1.273864e-05 1.285294e-05 1.310086e-05 #>  [5900,] 1.096315e-05 1.059941e-05 1.099040e-05 1.115774e-05 1.163461e-05 #>  [5901,] 6.696752e-04 4.631616e-04 3.910086e-04 3.574989e-04 4.223669e-04 #>  [5902,] 3.653313e-05 4.847126e-05 9.410438e-05 2.128794e-04 2.910677e-04 #>  [5903,] 1.843030e-05 2.040721e-05 1.956452e-05 2.056321e-05 2.089726e-05 #>  [5904,] 2.987775e-05 2.212513e-05 3.034302e-05 3.519606e-05 3.808666e-05 #>  [5905,] 1.109191e-05 1.266753e-05 1.315739e-05 1.260891e-05 1.442563e-05 #>  [5906,] 6.508314e-05 3.597891e-05 2.035129e-05 2.388114e-05 1.892338e-05 #>  [5907,] 1.085813e-05 1.098576e-05 1.171879e-05 1.170814e-05 1.182412e-05 #>  [5908,] 2.166082e-05 2.099601e-05 2.351509e-05 2.440688e-05 2.088384e-05 #>  [5909,] 5.543292e-05 5.602642e-05 5.162353e-05 4.425422e-05 4.537973e-05 #>  [5910,] 1.243612e-05 1.229125e-05 1.349158e-05 1.367563e-05 1.307035e-05 #>  [5911,] 1.264976e-05 1.410028e-05 1.416121e-05 1.455873e-05 1.488187e-05 #>  [5912,] 1.263440e-05 1.219378e-05 1.408050e-05 1.517260e-05 1.456136e-05 #>  [5913,] 9.068075e-05 9.619427e-05 2.136642e-04 2.000735e-04 1.264043e-04 #>  [5914,] 1.401759e-05 1.514306e-05 1.532933e-05 1.676000e-05 1.773233e-05 #>  [5915,] 1.127822e-05 1.138253e-05 1.108344e-05 1.148744e-05 1.207559e-05 #>  [5916,] 1.225724e-05 1.206862e-05 1.233948e-05 1.098598e-05 1.161972e-05 #>  [5917,] 1.802995e-05 1.901978e-05 1.758244e-05 1.753069e-05 1.956691e-05 #>  [5918,] 1.134736e-05 1.105663e-05 1.085851e-05 1.102287e-05 1.144413e-05 #>  [5919,] 1.345876e-05 1.512206e-05 1.637933e-05 1.481671e-05 1.530811e-05 #>  [5920,] 2.024242e-05 2.779308e-05 1.935569e-05 1.799666e-05 1.837178e-05 #>  [5921,] 4.191667e-05 3.617757e-05 2.104628e-05 3.349451e-05 1.022155e-04 #>  [5922,] 1.268947e-05 1.195355e-05 1.333764e-05 1.340059e-05 1.357410e-05 #>  [5923,] 5.886774e-05 9.429387e-05 3.642531e-05 2.520646e-05 2.432601e-05 #>  [5924,] 1.140579e-05 1.351432e-05 1.617067e-05 1.383312e-05 1.951793e-05 #>  [5925,] 1.255656e-05 1.246260e-05 1.411698e-05 1.367943e-05 1.416707e-05 #>  [5926,] 1.122875e-05 1.019199e-05 1.050819e-05 1.079540e-05 1.050993e-05 #>  [5927,] 1.379144e-05 1.530101e-05 1.299295e-05 1.318548e-05 1.473554e-05 #>  [5928,] 1.243039e-05 1.311227e-05 1.764607e-05 1.623830e-05 1.588375e-05 #>  [5929,] 1.209655e-05 1.387322e-05 1.523246e-05 1.405723e-05 1.489095e-05 #>  [5930,] 1.106485e-05 1.064446e-05 1.036729e-05 1.047942e-05 1.126584e-05 #>  [5931,] 2.550707e-05 1.586929e-05 1.602176e-05 1.605477e-05 1.627564e-05 #>  [5932,] 4.851339e-04 6.074555e-04 7.893562e-04 7.633147e-04 6.591274e-04 #>  [5933,] 1.260935e-05 1.181134e-05 1.191426e-05 1.374162e-05 1.477289e-05 #>  [5934,] 1.726053e-05 1.425113e-05 1.616521e-05 1.693675e-05 1.726973e-05 #>  [5935,] 1.112870e-05 1.349357e-05 1.503877e-05 1.744474e-05 1.525878e-05 #>  [5936,] 1.281498e-05 1.248538e-05 1.245692e-05 1.427812e-05 1.504376e-05 #>  [5937,] 1.248456e-05 1.243895e-05 1.291765e-05 1.434457e-05 1.563352e-05 #>  [5938,] 1.735053e-05 1.823107e-05 4.029221e-05 3.345266e-05 3.530299e-05 #>  [5939,] 3.504516e-04 3.712123e-04 9.534180e-04 6.937917e-04 5.744491e-04 #>  [5940,] 1.652341e-05 2.025773e-05 2.012350e-05 1.535669e-05 1.734125e-05 #>  [5941,] 6.469744e-05 1.519299e-05 1.984582e-05 1.343415e-05 1.467925e-05 #>  [5942,] 2.022571e-05 1.960898e-05 2.069025e-05 2.345659e-05 2.586263e-05 #>  [5943,] 1.345795e-05 1.533636e-05 1.356629e-05 1.363895e-05 1.442169e-05 #>  [5944,] 4.654455e-05 3.146739e-05 2.552497e-05 3.257212e-05 3.818469e-05 #>  [5945,] 1.107769e-05 1.067871e-05 1.148193e-05 1.114536e-05 1.102509e-05 #>  [5946,] 1.236281e-05 1.279845e-05 1.338413e-05 1.365909e-05 1.400842e-05 #>  [5947,] 1.431210e-05 1.331918e-05 1.504714e-05 1.602371e-05 1.573525e-05 #>  [5948,] 2.864859e-05 3.220475e-05 2.189428e-05 1.950688e-05 2.251468e-05 #>  [5949,] 2.202158e-05 2.214931e-05 1.920051e-05 1.995861e-05 2.124131e-05 #>  [5950,] 1.736137e-05 1.884786e-05 2.486314e-05 2.411340e-05 3.036030e-05 #>  [5951,] 1.538966e-05 1.893344e-05 5.274170e-05 4.626856e-05 3.423477e-05 #>  [5952,] 1.150163e-05 1.199875e-05 1.354475e-05 1.403066e-05 1.466389e-05 #>  [5953,] 1.336150e-05 1.467660e-05 1.521499e-05 1.644569e-05 1.674823e-05 #>  [5954,] 1.746536e-05 1.803011e-05 1.813959e-05 1.860550e-05 2.255839e-05 #>  [5955,] 1.197963e-05 1.253329e-05 1.189405e-05 1.220860e-05 1.278293e-05 #>  [5956,] 1.547666e-05 1.464279e-05 1.734018e-05 1.816450e-05 1.676931e-05 #>  [5957,] 1.513422e-05 1.551886e-05 2.317440e-05 2.371635e-05 2.062330e-05 #>  [5958,] 1.108697e-05 1.158372e-05 1.297161e-05 1.407092e-05 1.565087e-05 #>  [5959,] 1.833320e-05 1.703469e-05 1.430673e-05 1.468423e-05 1.663253e-05 #>  [5960,] 1.448890e-05 1.396398e-05 1.384133e-05 1.540911e-05 1.614043e-05 #>  [5961,] 1.601991e-05 1.509987e-05 2.306721e-05 2.234680e-05 2.234032e-05 #>  [5962,] 1.926168e-05 2.036508e-05 2.095232e-05 2.560493e-05 4.066441e-05 #>  [5963,] 1.570765e-05 1.665459e-05 1.778785e-05 1.563365e-05 1.773394e-05 #>  [5964,] 1.166090e-04 1.274348e-04 1.306892e-04 1.039019e-04 1.061874e-04 #>  [5965,] 3.529225e-05 2.979249e-05 3.425838e-05 3.949194e-05 5.219052e-05 #>  [5966,] 1.966891e-05 1.949434e-05 1.892591e-05 1.807697e-05 1.901109e-05 #>  [5967,] 4.802620e-05 3.626375e-05 7.212314e-05 6.873242e-05 6.032745e-05 #>  [5968,] 6.770473e-05 1.155539e-04 2.260688e-04 1.905647e-04 1.466670e-04 #>  [5969,] 1.459141e-05 1.270919e-05 1.474268e-05 1.562807e-05 1.476591e-05 #>  [5970,] 7.498209e-05 4.772812e-05 6.817813e-05 6.285361e-05 4.723468e-05 #>  [5971,] 1.239479e-05 1.504759e-05 1.512734e-05 1.744833e-05 2.335425e-05 #>  [5972,] 1.372915e-05 1.523973e-05 2.034762e-05 2.142863e-05 1.954786e-05 #>  [5973,] 1.621698e-05 1.562336e-05 2.194871e-05 2.095215e-05 3.030837e-05 #>  [5974,] 1.405330e-05 1.491885e-05 1.585867e-05 1.558835e-05 1.519794e-05 #>  [5975,] 1.172536e-05 1.252632e-05 1.284343e-05 1.317506e-05 1.256289e-05 #>  [5976,] 2.178005e-05 2.189323e-05 1.867987e-05 2.352193e-05 2.722395e-05 #>  [5977,] 1.142926e-05 1.078227e-05 1.118736e-05 1.245412e-05 1.297566e-05 #>  [5978,] 3.324059e-05 8.401507e-05 3.672906e-04 1.120508e-04 1.699128e-05 #>  [5979,] 2.900193e-05 5.584547e-05 9.743089e-05 3.056077e-05 1.455847e-05 #>  [5980,] 1.226124e-05 1.267324e-05 1.431181e-05 1.365491e-05 1.429361e-05 #>  [5981,] 1.814197e-05 2.498644e-05 3.472138e-05 3.688195e-05 3.708976e-05 #>  [5982,] 2.188566e-05 1.930410e-05 2.350404e-05 3.444731e-05 5.242002e-05 #>  [5983,] 1.381852e-05 1.353376e-05 1.576726e-05 1.692560e-05 1.660222e-05 #>  [5984,] 1.596647e-05 1.510145e-05 1.888923e-05 2.324847e-05 2.411018e-05 #>  [5985,] 3.431720e-05 6.625680e-05 1.497065e-04 1.172983e-04 2.717908e-05 #>  [5986,] 1.305687e-05 1.196945e-05 1.150839e-05 1.114063e-05 1.131924e-05 #>  [5987,] 1.166792e-05 1.171006e-05 1.335865e-05 1.455787e-05 1.411506e-05 #>  [5988,] 1.163869e-05 1.183810e-05 1.321260e-05 1.385657e-05 1.479645e-05 #>  [5989,] 1.346794e-05 1.405437e-05 1.502424e-05 1.421717e-05 1.451211e-05 #>  [5990,] 1.322581e-05 1.389260e-05 1.325184e-05 1.485718e-05 1.417126e-05 #>  [5991,] 1.358249e-05 1.494446e-05 1.383043e-05 1.348256e-05 1.424292e-05 #>  [5992,] 1.272250e-05 1.266569e-05 1.298132e-05 1.384687e-05 1.459199e-05 #>  [5993,] 1.379267e-05 1.340717e-05 1.351500e-05 1.648482e-05 1.625079e-05 #>  [5994,] 1.963831e-05 2.156676e-05 2.016071e-05 1.945079e-05 2.069988e-05 #>  [5995,] 1.394876e-05 1.254937e-05 1.476040e-05 1.615353e-05 1.541343e-05 #>  [5996,] 1.330205e-05 1.306074e-05 1.312602e-05 1.524926e-05 1.380897e-05 #>  [5997,] 1.195537e-05 1.238477e-05 1.249882e-05 1.253148e-05 1.323240e-05 #>  [5998,] 2.318315e-05 1.948083e-05 2.777541e-05 5.757482e-05 1.036792e-04 #>  [5999,] 1.495978e-05 1.377216e-05 1.379045e-05 1.689714e-05 1.642219e-05 #>  [6000,] 1.884966e-05 1.350364e-05 1.461665e-05 1.621290e-05 1.560456e-05 #>  [6001,] 1.447705e-05 1.300962e-05 1.576974e-05 1.678406e-05 1.589768e-05 #>  [6002,] 1.293140e-05 1.263140e-05 1.404044e-05 1.529154e-05 1.426747e-05 #>  [6003,] 2.280923e-05 2.018664e-05 1.626146e-05 1.761420e-05 1.733940e-05 #>  [6004,] 1.482329e-05 1.627822e-05 1.920524e-05 1.883063e-05 1.831805e-05 #>  [6005,] 1.674583e-05 1.566629e-05 1.628132e-05 1.674545e-05 1.529543e-05 #>  [6006,] 6.529430e-04 4.495594e-04 8.650676e-05 1.092438e-04 6.615859e-05 #>  [6007,] 1.767045e-05 1.861803e-05 1.552554e-05 1.674518e-05 1.695147e-05 #>  [6008,] 2.094835e-05 2.364358e-05 2.085339e-05 4.065400e-05 4.343570e-05 #>  [6009,] 1.353654e-05 1.553523e-05 1.581897e-05 1.955484e-05 2.891328e-05 #>  [6010,] 2.929674e-05 2.059266e-05 2.357264e-05 2.180801e-05 2.190762e-05 #>  [6011,] 4.001134e-05 4.939962e-05 3.333613e-05 2.357233e-05 2.124935e-05 #>  [6012,] 3.250217e-05 4.561989e-05 8.260128e-05 5.451719e-05 5.240828e-05 #>  [6013,] 1.347353e-05 1.421885e-05 1.366484e-05 1.513544e-05 1.512205e-05 #>  [6014,] 1.085343e-05 1.129520e-05 1.126670e-05 1.152128e-05 1.073563e-05 #>  [6015,] 1.972829e-04 2.533352e-04 2.910582e-04 2.678122e-04 2.277346e-04 #>  [6016,] 1.894873e-05 2.374238e-05 3.559315e-05 3.410168e-05 4.099102e-05 #>  [6017,] 4.723657e-04 3.289051e-04 6.787504e-04 5.709963e-04 4.204433e-04 #>  [6018,] 1.929874e-05 1.520982e-05 2.140803e-05 2.597680e-05 2.846346e-05 #>  [6019,] 2.014805e-05 1.977087e-05 1.899873e-05 1.916688e-05 1.973570e-05 #>  [6020,] 1.609524e-05 2.228012e-05 2.223306e-05 2.069720e-05 1.972713e-05 #>  [6021,] 1.197755e-05 1.142267e-05 1.178908e-05 1.405992e-05 1.553613e-05 #>  [6022,] 1.475445e-05 1.616605e-05 1.942694e-05 1.995279e-05 1.775853e-05 #>  [6023,] 1.730193e-05 1.413079e-05 1.402077e-05 1.411778e-05 1.306211e-05 #>  [6024,] 1.229891e-05 1.293255e-05 1.508704e-05 1.352454e-05 1.437645e-05 #>  [6025,] 2.258559e-05 3.193834e-05 3.803571e-05 6.031064e-05 1.707677e-04 #>  [6026,] 1.433769e-05 1.653123e-05 1.525138e-05 1.718314e-05 2.229472e-05 #>  [6027,] 8.411991e-05 4.581734e-05 7.973113e-05 7.008937e-05 6.291588e-05 #>  [6028,] 3.792058e-05 9.465438e-05 1.544729e-04 1.268405e-04 1.200426e-04 #>  [6029,] 4.547695e-05 5.456761e-05 6.113531e-05 6.108053e-05 5.970087e-05 #>  [6030,] 1.325995e-05 1.237032e-05 1.367927e-05 1.507642e-05 1.543675e-05 #>  [6031,] 1.291067e-05 1.301673e-05 1.383907e-05 1.395743e-05 1.401321e-05 #>  [6032,] 1.306773e-05 1.436095e-05 1.508827e-05 1.418465e-05 1.540258e-05 #>  [6033,] 1.534246e-05 1.495861e-05 2.100067e-05 2.297175e-05 2.573752e-05 #>  [6034,] 1.290839e-05 1.471470e-05 1.510903e-05 1.341968e-05 1.531550e-05 #>  [6035,] 5.635777e-05 8.707832e-05 1.590126e-04 2.396967e-04 2.489255e-04 #>  [6036,] 1.481091e-05 1.394865e-05 1.410450e-05 1.601968e-05 1.465747e-05 #>  [6037,] 1.158788e-05 1.203530e-05 1.330240e-05 1.468747e-05 1.550772e-05 #>  [6038,] 3.828244e-05 3.498120e-05 2.961974e-05 3.270597e-05 2.514588e-05 #>  [6039,] 1.433565e-05 1.574035e-05 1.711672e-05 1.767999e-05 1.568894e-05 #>  [6040,] 1.436918e-05 1.510916e-05 1.351837e-05 1.299677e-05 1.346402e-05 #>  [6041,] 2.280749e-05 2.235960e-05 1.875600e-05 1.688152e-05 1.550597e-05 #>  [6042,] 5.006013e-05 8.183086e-05 1.315115e-04 1.029288e-04 4.009778e-05 #>  [6043,] 1.009776e-05 1.055922e-05 1.148363e-05 1.097648e-05 1.022189e-05 #>  [6044,] 1.201262e-05 1.098311e-05 1.202430e-05 1.379096e-05 1.379271e-05 #>  [6045,] 1.202352e-05 1.303031e-05 1.393420e-05 1.360781e-05 1.525877e-05 #>  [6046,] 1.334279e-05 1.484362e-05 1.637541e-05 1.369874e-05 1.628894e-05 #>  [6047,] 1.455652e-05 1.473676e-05 1.508702e-05 1.488039e-05 1.606227e-05 #>  [6048,] 1.370607e-05 1.423367e-05 1.420400e-05 1.359442e-05 1.509271e-05 #>  [6049,] 1.875782e-05 2.897078e-05 6.537828e-05 7.111601e-05 1.159334e-04 #>  [6050,] 1.016989e-04 4.934601e-05 3.385577e-05 2.419032e-05 1.815994e-05 #>  [6051,] 1.644941e-04 8.246478e-05 1.245683e-04 8.733804e-05 6.315933e-05 #>  [6052,] 4.050574e-05 3.086040e-05 4.201023e-05 3.850003e-05 2.656860e-05 #>  [6053,] 2.232889e-05 2.144761e-05 1.826268e-05 1.911591e-05 1.797409e-05 #>  [6054,] 1.165825e-05 1.207773e-05 1.308152e-05 1.478265e-05 1.789507e-05 #>  [6055,] 1.246796e-05 1.321825e-05 1.490804e-05 1.491443e-05 1.507240e-05 #>  [6056,] 1.632962e-05 1.672429e-05 1.600826e-05 1.548586e-05 1.902131e-05 #>  [6057,] 1.275113e-05 1.174241e-05 1.287650e-05 1.410005e-05 1.396098e-05 #>  [6058,] 1.389600e-05 1.455296e-05 1.816750e-05 1.905703e-05 1.852414e-05 #>  [6059,] 1.295215e-05 1.317310e-05 1.405071e-05 1.449342e-05 1.576592e-05 #>  [6060,] 1.324308e-05 1.311640e-05 1.219804e-05 1.231823e-05 1.413881e-05 #>  [6061,] 1.360756e-05 1.354316e-05 1.378332e-05 1.428202e-05 1.456812e-05 #>  [6062,] 1.261446e-05 1.381333e-05 1.358744e-05 1.436463e-05 1.479759e-05 #>  [6063,] 1.313470e-05 1.537708e-05 1.974080e-05 1.774569e-05 1.664712e-05 #>  [6064,] 2.804740e-05 3.162489e-05 7.353208e-05 9.503303e-05 1.141654e-04 #>  [6065,] 2.045762e-05 1.709487e-05 2.285072e-05 2.241221e-05 2.206709e-05 #>  [6066,] 1.291759e-05 1.273167e-05 1.533986e-05 1.499171e-05 1.374138e-05 #>  [6067,] 1.292906e-05 1.363143e-05 1.241642e-05 1.331157e-05 1.490981e-05 #>  [6068,] 1.172978e-05 1.077480e-05 1.055362e-05 1.092489e-05 1.208511e-05 #>  [6069,] 1.182296e-05 1.245199e-05 1.407881e-05 1.367727e-05 1.401516e-05 #>  [6070,] 1.501826e-05 1.479453e-05 1.720138e-05 2.286114e-05 2.367436e-05 #>  [6071,] 1.519382e-04 1.013354e-04 8.185890e-05 7.813726e-05 6.117660e-05 #>  [6072,] 1.192152e-05 1.233157e-05 1.215681e-05 1.232466e-05 1.287810e-05 #>  [6073,] 2.981740e-05 5.494999e-05 4.463693e-05 5.159618e-05 4.884990e-05 #>  [6074,] 1.176924e-04 1.566548e-04 5.591236e-05 6.635461e-05 5.602405e-05 #>  [6075,] 1.395783e-05 1.349728e-05 1.380337e-05 1.437964e-05 1.356845e-05 #>  [6076,] 1.349362e-05 1.460285e-05 1.611942e-05 1.686823e-05 1.628591e-05 #>  [6077,] 1.151539e-05 1.073065e-05 1.194429e-05 1.117491e-05 1.162498e-05 #>  [6078,] 1.243756e-05 1.067256e-05 1.151155e-05 1.177714e-05 1.252357e-05 #>  [6079,] 1.164506e-05 1.167724e-05 1.182916e-05 1.305111e-05 1.355988e-05 #>  [6080,] 1.325701e-05 1.593804e-05 2.818427e-05 2.952787e-05 3.925358e-05 #>  [6081,] 3.140277e-05 2.376346e-05 3.063544e-05 2.805440e-05 2.584120e-05 #>  [6082,] 1.315124e-05 1.268092e-05 1.251830e-05 1.402067e-05 1.536345e-05 #>  [6083,] 1.296916e-05 1.365652e-05 1.192246e-05 1.246505e-05 1.309448e-05 #>  [6084,] 1.321040e-04 1.523574e-04 1.564795e-04 1.598912e-04 1.792887e-04 #>  [6085,] 1.185207e-05 1.184142e-05 1.441052e-05 1.707130e-05 2.537026e-05 #>  [6086,] 3.021063e-05 2.639910e-05 2.240888e-05 2.188460e-05 2.237683e-05 #>  [6087,] 2.052874e-04 2.440296e-04 2.549955e-04 2.057749e-04 1.574533e-04 #>  [6088,] 3.208920e-05 5.184581e-05 7.106781e-05 1.180232e-04 1.154155e-04 #>  [6089,] 1.268516e-05 1.237388e-05 1.157824e-05 1.394874e-05 1.543269e-05 #>  [6090,] 2.379109e-05 2.520698e-05 5.233903e-05 6.442929e-05 6.834460e-05 #>  [6091,] 1.343112e-05 1.255723e-05 1.261233e-05 1.391774e-05 1.469540e-05 #>  [6092,] 1.456077e-05 1.481560e-05 1.763658e-05 1.751105e-05 1.810963e-05 #>  [6093,] 2.218007e-05 2.946855e-05 6.156233e-05 5.495941e-05 5.394728e-05 #>  [6094,] 1.673518e-05 1.690469e-05 1.541959e-05 1.713442e-05 1.709783e-05 #>  [6095,] 2.135892e-05 3.109088e-05 2.107899e-05 1.705478e-05 1.810176e-05 #>  [6096,] 1.456555e-05 1.306620e-05 1.239588e-05 1.355363e-05 1.356524e-05 #>  [6097,] 1.319543e-05 1.235260e-05 1.306940e-05 1.495088e-05 1.591735e-05 #>  [6098,] 1.245368e-05 1.196020e-05 1.260722e-05 1.427927e-05 1.374747e-05 #>  [6099,] 7.776345e-04 1.025180e-03 1.084628e-03 8.990675e-04 9.684232e-04 #>  [6100,] 1.567921e-05 1.293619e-05 1.368358e-05 1.407576e-05 1.471366e-05 #>  [6101,] 1.639157e-05 1.517534e-05 1.360346e-05 1.441332e-05 1.770620e-05 #>  [6102,] 1.292193e-05 1.330718e-05 1.393260e-05 1.592343e-05 1.486879e-05 #>  [6103,] 1.524013e-05 1.464823e-05 1.479128e-05 1.782059e-05 1.924420e-05 #>  [6104,] 1.435015e-05 1.446487e-05 1.475312e-05 1.522764e-05 1.458862e-05 #>  [6105,] 1.352842e-05 1.480480e-05 1.371014e-05 1.292556e-05 1.318626e-05 #>  [6106,] 1.505959e-05 1.393984e-05 1.274300e-05 1.538955e-05 1.681455e-05 #>  [6107,] 1.328578e-05 1.246780e-05 1.351464e-05 1.471159e-05 1.508512e-05 #>  [6108,] 5.172812e-05 9.383821e-05 1.004409e-04 1.403602e-04 2.340931e-04 #>  [6109,] 1.208161e-05 1.218688e-05 1.164443e-05 1.300854e-05 1.267509e-05 #>  [6110,] 1.417784e-05 1.491926e-05 1.526517e-05 1.425598e-05 1.640496e-05 #>  [6111,] 2.159560e-05 2.345070e-05 1.823761e-05 2.353947e-05 4.269228e-05 #>  [6112,] 1.156196e-05 1.280739e-05 1.109392e-05 1.150733e-05 1.226281e-05 #>  [6113,] 9.634618e-05 9.779424e-05 8.368466e-05 1.231014e-04 1.217601e-04 #>  [6114,] 1.495711e-05 1.361095e-05 1.400206e-05 1.455941e-05 1.508080e-05 #>  [6115,] 5.378995e-05 6.110279e-05 1.036257e-04 1.036251e-04 7.340374e-05 #>  [6116,] 5.959030e-05 6.948705e-05 7.478311e-05 1.092182e-04 1.999970e-04 #>  [6117,] 2.509499e-05 1.688582e-05 1.557918e-05 1.424447e-05 1.488069e-05 #>  [6118,] 2.070861e-05 3.996393e-05 2.172034e-05 1.791645e-05 1.397598e-05 #>  [6119,] 1.510601e-05 1.661020e-05 1.625910e-05 1.630576e-05 1.508638e-05 #>  [6120,] 1.620405e-05 1.766303e-05 1.503150e-05 1.472100e-05 1.514166e-05 #>  [6121,] 1.340106e-05 1.376878e-05 1.366792e-05 1.518000e-05 1.606092e-05 #>  [6122,] 1.330614e-05 1.357760e-05 1.629159e-05 1.597433e-05 1.531002e-05 #>  [6123,] 2.075686e-05 2.601847e-05 2.982784e-05 2.913282e-05 2.885703e-05 #>  [6124,] 2.711694e-05 2.309645e-05 2.829032e-05 2.949058e-05 2.475405e-05 #>  [6125,] 1.526935e-05 1.396127e-05 1.370184e-05 1.400908e-05 1.312084e-05 #>  [6126,] 2.325265e-04 2.604094e-04 1.918940e-04 1.893226e-04 1.156987e-04 #>  [6127,] 1.346198e-05 1.301013e-05 1.580165e-05 1.586587e-05 1.515739e-05 #>  [6128,] 1.285073e-05 1.399146e-05 1.604850e-05 1.753851e-05 1.625609e-05 #>  [6129,] 1.082902e-05 1.071031e-05 1.056996e-05 1.083708e-05 1.048354e-05 #>  [6130,] 9.200940e-05 7.644093e-05 6.406944e-05 6.827974e-05 6.998733e-05 #>  [6131,] 2.586693e-05 1.648240e-05 2.721854e-05 3.049165e-05 2.483367e-05 #>  [6132,] 1.318700e-05 1.173466e-05 1.322321e-05 1.419608e-05 1.497123e-05 #>  [6133,] 5.292701e-05 3.293804e-05 1.996253e-05 1.707094e-05 1.626829e-05 #>  [6134,] 1.331343e-05 1.292824e-05 1.099909e-05 1.338054e-05 1.374959e-05 #>  [6135,] 1.444939e-05 2.086909e-05 1.936443e-05 1.638587e-05 1.775801e-05 #>  [6136,] 1.325087e-05 1.278421e-05 1.248452e-05 1.357596e-05 1.353742e-05 #>  [6137,] 1.659985e-05 2.338451e-05 1.386470e-05 1.469659e-05 1.979688e-05 #>  [6138,] 1.190486e-05 1.254213e-05 1.167900e-05 1.199064e-05 1.173649e-05 #>  [6139,] 1.183182e-05 1.133106e-05 1.237853e-05 1.346275e-05 1.431990e-05 #>  [6140,] 1.217640e-05 1.173799e-05 1.249594e-05 1.355231e-05 1.414782e-05 #>  [6141,] 1.177496e-05 1.208371e-05 1.414781e-05 1.421115e-05 1.609901e-05 #>  [6142,] 1.962214e-05 1.917435e-05 1.473309e-05 1.497026e-05 1.313226e-05 #>  [6143,] 3.861858e-05 4.909134e-05 5.411767e-05 5.075323e-05 4.406421e-05 #>  [6144,] 5.183067e-05 3.842811e-05 3.601706e-05 4.433667e-05 5.349949e-05 #>  [6145,] 1.299285e-05 1.270712e-05 1.297692e-05 1.293986e-05 1.251855e-05 #>  [6146,] 1.874366e-05 2.219753e-05 1.538516e-05 1.602046e-05 1.458020e-05 #>  [6147,] 3.453356e-05 3.664683e-05 5.337249e-05 5.551744e-05 5.292739e-05 #>  [6148,] 1.323586e-05 1.255593e-05 1.461057e-05 1.447421e-05 1.483684e-05 #>  [6149,] 1.171588e-05 1.229282e-05 1.053522e-05 1.116493e-05 1.157926e-05 #>  [6150,] 2.547958e-05 2.954271e-05 2.281214e-05 2.675669e-05 2.596246e-05 #>  [6151,] 1.492972e-05 1.796670e-05 1.720552e-05 2.095053e-05 2.488348e-05 #>  [6152,] 2.640031e-05 1.729169e-05 1.860851e-05 1.836232e-05 1.716082e-05 #>  [6153,] 1.710833e-05 1.331127e-05 1.402668e-05 1.343292e-05 1.501287e-05 #>  [6154,] 1.437145e-05 1.351686e-05 1.467930e-05 1.554503e-05 1.532231e-05 #>  [6155,] 1.251700e-05 1.303525e-05 1.344017e-05 1.424285e-05 1.495477e-05 #>  [6156,] 1.050902e-05 1.053283e-05 1.125134e-05 1.079998e-05 1.066229e-05 #>  [6157,] 1.245463e-05 1.303138e-05 1.398895e-05 1.285643e-05 1.399930e-05 #>  [6158,] 1.381272e-05 1.374839e-05 1.335565e-05 1.406524e-05 1.308672e-05 #>  [6159,] 1.627993e-05 1.628993e-05 1.570050e-05 1.701367e-05 1.622923e-05 #>  [6160,] 4.241502e-05 4.252570e-05 5.632164e-05 5.183450e-05 4.294482e-05 #>  [6161,] 1.253204e-05 1.279333e-05 1.261334e-05 1.312997e-05 1.326407e-05 #>  [6162,] 1.436152e-05 1.310029e-05 1.525840e-05 1.663780e-05 1.483172e-05 #>  [6163,] 3.015063e-05 3.278142e-05 6.084564e-05 4.756627e-05 3.081681e-05 #>  [6164,] 2.030637e-04 1.375951e-04 1.026057e-04 9.992399e-05 8.854504e-05 #>  [6165,] 1.250085e-05 1.253997e-05 1.516102e-05 1.369764e-05 1.434800e-05 #>  [6166,] 1.282693e-05 1.298707e-05 1.315249e-05 1.453371e-05 1.533145e-05 #>  [6167,] 1.723527e-05 2.119987e-05 4.016266e-05 3.655878e-05 4.005971e-05 #>  [6168,] 2.472790e-05 2.719367e-05 2.842265e-05 3.076958e-05 2.811137e-05 #>  [6169,] 1.292822e-05 1.304371e-05 1.687554e-05 1.766015e-05 1.386955e-05 #>  [6170,] 1.525630e-05 1.688298e-05 2.003676e-05 2.067775e-05 1.889279e-05 #>  [6171,] 1.546065e-05 1.755895e-05 1.929600e-05 1.751467e-05 1.667607e-05 #>  [6172,] 1.166510e-05 1.158669e-05 1.099005e-05 1.187411e-05 1.143450e-05 #>  [6173,] 1.265250e-05 1.249478e-05 1.264275e-05 1.258462e-05 1.293892e-05 #>  [6174,] 1.339566e-05 1.388678e-05 1.424517e-05 1.375357e-05 1.428912e-05 #>  [6175,] 1.308884e-05 1.296005e-05 1.489799e-05 1.633313e-05 1.445533e-05 #>  [6176,] 1.434764e-05 1.485423e-05 1.566535e-05 1.729760e-05 1.611321e-05 #>  [6177,] 1.814220e-04 1.947285e-04 1.799388e-04 1.491540e-04 1.001388e-04 #>  [6178,] 1.573692e-05 1.367344e-05 1.992701e-05 2.497308e-05 3.246727e-05 #>  [6179,] 1.408194e-05 1.821511e-05 2.442628e-05 3.146697e-05 5.160838e-05 #>  [6180,] 2.328116e-05 1.906557e-05 1.952109e-05 1.925255e-05 2.058812e-05 #>  [6181,] 9.879857e-06 1.015940e-05 1.121454e-05 1.120646e-05 1.068876e-05 #>  [6182,] 1.555668e-05 1.458252e-05 1.540454e-05 1.480320e-05 1.424255e-05 #>  [6183,] 1.633135e-05 1.887407e-05 1.875895e-05 1.903888e-05 1.980697e-05 #>  [6184,] 1.306054e-05 1.559631e-05 1.706987e-05 1.396398e-05 2.216582e-05 #>  [6185,] 1.993791e-05 1.515480e-05 1.903455e-05 1.869134e-05 2.266730e-05 #>  [6186,] 1.033363e-05 1.043958e-05 1.082226e-05 1.131783e-05 1.092203e-05 #>  [6187,] 1.175356e-05 1.259604e-05 1.345909e-05 1.654630e-05 1.759728e-05 #>  [6188,] 1.503888e-05 1.632007e-05 1.532101e-05 1.519758e-05 1.498241e-05 #>  [6189,] 1.160913e-05 1.195023e-05 1.101336e-05 1.140031e-05 1.207343e-05 #>  [6190,] 1.870446e-05 1.965194e-05 2.030540e-05 2.531305e-05 2.344012e-05 #>  [6191,] 3.616879e-05 2.877480e-05 9.439209e-05 1.188815e-04 1.967492e-04 #>  [6192,] 1.116506e-05 1.176818e-05 1.185376e-05 1.191653e-05 1.326318e-05 #>  [6193,] 2.788632e-05 3.647983e-05 2.309253e-05 1.863918e-05 1.982744e-05 #>  [6194,] 2.666281e-05 2.429558e-05 1.759226e-05 1.864474e-05 1.729358e-05 #>  [6195,] 1.358125e-05 1.399380e-05 1.681315e-05 1.640840e-05 1.823643e-05 #>  [6196,] 1.101430e-05 1.101393e-05 1.143630e-05 1.119210e-05 1.176671e-05 #>  [6197,] 1.203293e-05 1.151888e-05 1.726183e-05 1.492668e-05 1.386094e-05 #>  [6198,] 1.167324e-05 1.187110e-05 1.294746e-05 1.386662e-05 1.453895e-05 #>  [6199,] 2.310277e-05 1.755730e-05 1.713812e-05 1.661765e-05 1.455915e-05 #>  [6200,] 2.612545e-05 3.297455e-05 2.302437e-05 2.302912e-05 2.281683e-05 #>  [6201,] 1.955887e-05 1.873482e-05 2.100654e-05 2.471856e-05 2.366580e-05 #>  [6202,] 1.664836e-05 1.757060e-05 1.505795e-05 1.678584e-05 1.807404e-05 #>  [6203,] 9.917873e-05 5.815915e-05 7.973739e-05 7.284897e-05 6.877832e-05 #>  [6204,] 1.201992e-05 1.194639e-05 1.300680e-05 1.396267e-05 1.370635e-05 #>  [6205,] 1.366504e-05 1.293517e-05 1.553776e-05 1.742292e-05 1.632565e-05 #>  [6206,] 1.486108e-05 1.399095e-05 1.471031e-05 1.611255e-05 1.628773e-05 #>  [6207,] 1.652801e-05 1.587813e-05 1.910874e-05 2.079335e-05 2.165625e-05 #>  [6208,] 1.568657e-05 1.542048e-05 1.727256e-05 1.693920e-05 1.761487e-05 #>  [6209,] 1.065852e-05 1.054438e-05 1.079918e-05 1.162764e-05 1.104607e-05 #>  [6210,] 1.219203e-05 1.245965e-05 1.310723e-05 1.495999e-05 1.570342e-05 #>  [6211,] 1.218274e-05 1.231285e-05 1.597234e-05 1.597920e-05 1.608830e-05 #>  [6212,] 1.335243e-05 1.352215e-05 1.392841e-05 1.396246e-05 1.486285e-05 #>  [6213,] 1.476861e-05 1.423780e-05 1.362893e-05 1.468491e-05 1.481944e-05 #>  [6214,] 1.464278e-05 1.791884e-05 1.385877e-05 1.405036e-05 1.451439e-05 #>  [6215,] 1.199156e-05 1.269444e-05 1.236157e-05 1.317648e-05 1.386375e-05 #>  [6216,] 1.461617e-05 1.412257e-05 1.410484e-05 1.387957e-05 1.375214e-05 #>  [6217,] 1.160734e-05 1.149534e-05 1.252500e-05 1.497275e-05 1.451830e-05 #>  [6218,] 1.280003e-05 1.325077e-05 1.351364e-05 1.417076e-05 1.493197e-05 #>  [6219,] 2.010799e-05 3.032570e-05 4.381173e-05 1.022804e-04 1.581926e-04 #>  [6220,] 1.408340e-05 1.284794e-05 1.253841e-05 1.409427e-05 1.344606e-05 #>  [6221,] 1.161466e-05 1.051501e-05 1.083125e-05 1.193056e-05 1.189505e-05 #>  [6222,] 1.440689e-05 1.268847e-05 1.372922e-05 1.560951e-05 1.562262e-05 #>  [6223,] 1.529687e-05 1.330158e-05 1.412519e-05 1.490161e-05 1.405665e-05 #>  [6224,] 1.238402e-05 1.164544e-05 1.218546e-05 1.343860e-05 1.310125e-05 #>  [6225,] 1.251722e-05 1.365965e-05 1.575066e-05 1.486213e-05 1.676406e-05 #>  [6226,] 1.244200e-05 1.188736e-05 1.233677e-05 1.328335e-05 1.426716e-05 #>  [6227,] 1.292178e-05 1.216364e-05 1.268343e-05 1.532769e-05 1.623205e-05 #>  [6228,] 1.775478e-05 2.295426e-05 2.975095e-05 2.995525e-05 4.168906e-05 #>  [6229,] 1.181365e-05 1.182582e-05 1.093647e-05 1.205166e-05 1.251614e-05 #>  [6230,] 1.556512e-05 1.521148e-05 1.756963e-05 2.048165e-05 2.230955e-05 #>  [6231,] 1.807532e-05 1.610210e-05 1.757760e-05 1.845620e-05 1.764672e-05 #>  [6232,] 1.187331e-05 1.207383e-05 1.333031e-05 1.594178e-05 1.516259e-05 #>  [6233,] 1.214763e-05 1.243201e-05 1.387509e-05 1.496688e-05 1.509794e-05 #>  [6234,] 1.167902e-05 1.336304e-05 1.508668e-05 1.594764e-05 1.654443e-05 #>  [6235,] 1.195651e-05 1.154175e-05 1.246930e-05 1.324425e-05 1.320437e-05 #>  [6236,] 1.350898e-05 1.354276e-05 1.294544e-05 1.489750e-05 1.483937e-05 #>  [6237,] 1.177815e-05 1.266344e-05 1.344594e-05 1.521028e-05 1.590267e-05 #>  [6238,] 1.334678e-05 1.286593e-05 1.262466e-05 1.261664e-05 1.327151e-05 #>  [6239,] 1.285798e-05 1.242044e-05 1.273086e-05 1.393566e-05 1.450127e-05 #>  [6240,] 1.501422e-05 1.404253e-05 1.502928e-05 1.511248e-05 1.537520e-05 #>  [6241,] 1.454980e-05 1.261203e-05 1.333910e-05 1.535283e-05 1.561432e-05 #>  [6242,] 2.000880e-05 2.078700e-05 1.870675e-05 2.366775e-05 2.559324e-05 #>  [6243,] 1.674512e-05 1.803143e-05 1.555120e-05 1.392138e-05 1.635465e-05 #>  [6244,] 1.176389e-05 1.331851e-05 1.346631e-05 1.475575e-05 1.588530e-05 #>  [6245,] 1.269215e-05 1.359384e-05 1.526286e-05 1.469797e-05 1.539462e-05 #>  [6246,] 1.495343e-05 1.816340e-05 1.710568e-05 1.944979e-05 4.292074e-05 #>  [6247,] 4.303724e-05 3.998979e-05 5.283611e-05 6.071340e-05 4.942451e-05 #>  [6248,] 1.216445e-05 1.377923e-05 1.512906e-05 1.533236e-05 1.537188e-05 #>  [6249,] 1.953035e-05 2.090888e-05 1.557015e-05 1.718295e-05 1.575936e-05 #>  [6250,] 2.448531e-05 1.888423e-05 1.474109e-05 1.618996e-05 1.692375e-05 #>  [6251,] 1.214095e-05 1.173846e-05 1.239548e-05 1.102337e-05 1.205578e-05 #>  [6252,] 1.282028e-05 1.405164e-05 1.657311e-05 1.882711e-05 2.743747e-05 #>  [6253,] 1.248742e-05 1.327483e-05 1.279289e-05 1.287290e-05 1.290712e-05 #>  [6254,] 1.279146e-05 1.223203e-05 1.359334e-05 1.487127e-05 1.395097e-05 #>  [6255,] 1.248598e-05 1.246841e-05 1.441006e-05 1.480870e-05 1.400574e-05 #>  [6256,] 1.392292e-05 1.496272e-05 1.683309e-05 1.563931e-05 1.485328e-05 #>  [6257,] 1.275702e-05 1.353699e-05 1.533931e-05 1.464707e-05 1.480149e-05 #>  [6258,] 2.525363e-05 2.433543e-05 4.702508e-05 3.624612e-05 2.748175e-05 #>  [6259,] 1.065601e-04 8.566067e-05 8.245877e-05 8.886792e-05 8.720256e-05 #>  [6260,] 1.484862e-05 1.544444e-05 1.865453e-05 1.775868e-05 1.742360e-05 #>  [6261,] 1.655543e-05 1.818853e-05 1.690265e-05 1.691598e-05 1.745889e-05 #>  [6262,] 1.347316e-05 1.425026e-05 1.618759e-05 1.927063e-05 2.441785e-05 #>  [6263,] 1.379520e-05 1.397203e-05 1.438723e-05 1.537174e-05 1.717784e-05 #>  [6264,] 1.119241e-05 1.081078e-05 1.199198e-05 1.143209e-05 1.144641e-05 #>  [6265,] 6.106399e-05 1.042166e-04 2.390112e-04 1.917171e-04 1.454690e-04 #>  [6266,] 3.562387e-05 2.462276e-05 1.763578e-05 1.910508e-05 1.897871e-05 #>  [6267,] 1.765212e-05 1.551617e-05 1.595282e-05 1.985536e-05 2.084719e-05 #>  [6268,] 1.255229e-05 1.282473e-05 1.390432e-05 1.328611e-05 1.404199e-05 #>  [6269,] 1.052749e-05 1.083364e-05 1.441895e-05 1.235372e-05 1.435684e-05 #>  [6270,] 4.928486e-05 6.353623e-05 1.539576e-04 2.095021e-04 1.674579e-04 #>  [6271,] 1.267487e-05 1.461933e-05 1.562320e-05 1.554066e-05 1.588982e-05 #>  [6272,] 1.316106e-05 1.532363e-05 1.616147e-05 1.627548e-05 1.596739e-05 #>  [6273,] 1.409488e-05 1.236034e-05 1.239418e-05 1.367036e-05 1.377522e-05 #>  [6274,] 4.449996e-05 6.935093e-05 2.940181e-05 2.712696e-05 4.326864e-05 #>  [6275,] 1.514204e-05 1.491435e-05 1.537074e-05 1.573227e-05 1.754319e-05 #>  [6276,] 1.361592e-05 1.526329e-05 1.651979e-05 1.776704e-05 1.631482e-05 #>  [6277,] 1.690177e-05 1.884950e-05 1.744324e-05 1.742231e-05 1.766041e-05 #>  [6278,] 1.847237e-05 1.760734e-05 1.850382e-05 1.625314e-05 1.552911e-05 #>  [6279,] 1.290488e-05 1.305196e-05 1.341298e-05 1.314662e-05 1.366215e-05 #>  [6280,] 1.030172e-03 1.038979e-03 4.359431e-04 4.356743e-04 5.942260e-05 #>  [6281,] 2.404172e-05 2.648711e-05 3.672795e-05 2.737448e-05 1.758986e-05 #>  [6282,] 1.405637e-05 1.487227e-05 1.491711e-05 1.628767e-05 1.660608e-05 #>  [6283,] 2.261584e-05 1.372392e-05 1.638353e-05 1.502292e-05 1.533409e-05 #>  [6284,] 1.199609e-05 1.352226e-05 2.001586e-05 1.773856e-05 1.863485e-05 #>  [6285,] 1.326991e-05 1.368199e-05 1.508820e-05 1.429125e-05 1.487146e-05 #>  [6286,] 1.315092e-05 1.114424e-05 1.150154e-05 1.100073e-05 1.285824e-05 #>  [6287,] 1.137149e-05 1.135921e-05 1.210619e-05 1.215076e-05 1.250776e-05 #>  [6288,] 1.234547e-05 1.270631e-05 1.547691e-05 1.543358e-05 1.450138e-05 #>  [6289,] 1.312777e-05 1.466886e-05 1.381882e-05 1.509694e-05 1.440116e-05 #>  [6290,] 3.621408e-05 2.753215e-05 3.190245e-05 3.200071e-05 2.818827e-05 #>  [6291,] 1.376184e-05 1.464703e-05 1.405837e-05 1.500264e-05 1.567442e-05 #>  [6292,] 3.367196e-05 4.371109e-05 2.005127e-05 1.522971e-05 1.484841e-05 #>  [6293,] 1.067475e-05 1.177366e-05 1.179396e-05 1.113772e-05 1.113157e-05 #>  [6294,] 1.115015e-05 1.061864e-05 1.139107e-05 1.158594e-05 1.212715e-05 #>  [6295,] 1.213961e-05 1.145389e-05 1.185692e-05 1.366324e-05 1.522934e-05 #>  [6296,] 1.272051e-05 1.240718e-05 1.308625e-05 1.359598e-05 1.483899e-05 #>  [6297,] 1.050493e-04 9.228276e-05 1.187932e-04 1.388223e-04 1.424786e-04 #>  [6298,] 1.222132e-05 1.183982e-05 1.069384e-05 1.028370e-05 1.052375e-05 #>  [6299,] 3.219920e-05 3.709499e-05 7.071038e-05 6.710787e-05 1.193061e-04 #>  [6300,] 1.284268e-05 1.302997e-05 1.572911e-05 1.593409e-05 1.600456e-05 #>  [6301,] 1.454054e-05 1.947242e-05 2.200190e-05 1.831070e-05 2.371307e-05 #>  [6302,] 1.207616e-05 1.102902e-05 1.192643e-05 1.372976e-05 1.520901e-05 #>  [6303,] 1.021721e-05 1.102669e-05 1.115446e-05 1.151046e-05 1.135987e-05 #>  [6304,] 1.112754e-05 1.063572e-05 1.179753e-05 1.221232e-05 1.331371e-05 #>  [6305,] 1.870556e-05 2.223102e-05 2.067527e-05 2.851217e-05 2.666832e-05 #>  [6306,] 1.231013e-05 1.206129e-05 1.325998e-05 1.360958e-05 1.411704e-05 #>  [6307,] 9.364100e-05 7.715966e-05 7.981854e-05 1.044209e-04 9.116865e-05 #>  [6308,] 1.508657e-05 1.779533e-05 1.785027e-05 1.685802e-05 1.711472e-05 #>  [6309,] 4.443038e-05 4.740960e-05 4.501974e-05 4.703585e-05 5.101027e-05 #>  [6310,] 1.210906e-05 1.266214e-05 1.166854e-05 1.218974e-05 1.248164e-05 #>  [6311,] 1.444974e-05 1.380640e-05 1.389697e-05 1.441397e-05 1.597638e-05 #>  [6312,] 1.149164e-05 1.056966e-05 1.160927e-05 1.241440e-05 1.169526e-05 #>  [6313,] 1.445234e-05 1.459338e-05 1.400090e-05 1.500627e-05 1.582183e-05 #>  [6314,] 1.360220e-05 1.362342e-05 1.996100e-05 2.196106e-05 2.635564e-05 #>  [6315,] 1.205680e-05 1.211551e-05 1.236323e-05 1.483617e-05 1.616231e-05 #>  [6316,] 1.447179e-05 1.573478e-05 1.542950e-05 1.599296e-05 1.640427e-05 #>  [6317,] 1.815014e-05 1.940875e-05 1.864905e-05 1.799920e-05 2.040806e-05 #>  [6318,] 1.691438e-05 1.432147e-05 1.379100e-05 1.421481e-05 1.393486e-05 #>  [6319,] 1.530178e-05 1.463961e-05 1.605740e-05 1.667646e-05 1.624490e-05 #>  [6320,] 4.979704e-05 3.127463e-05 3.558707e-05 2.808530e-05 2.508236e-05 #>  [6321,] 1.483512e-05 1.354702e-05 1.547148e-05 1.580095e-05 1.498848e-05 #>  [6322,] 1.051260e-05 1.226487e-05 1.094304e-05 1.093274e-05 1.109809e-05 #>  [6323,] 2.993797e-05 2.356861e-05 2.270180e-05 1.935306e-05 1.791835e-05 #>  [6324,] 1.541920e-05 1.866692e-05 2.319719e-05 1.921668e-05 1.959862e-05 #>  [6325,] 3.449787e-05 3.671086e-05 2.064781e-05 2.077209e-05 2.040306e-05 #>  [6326,] 1.245493e-05 1.280262e-05 1.492996e-05 1.642922e-05 1.719069e-05 #>  [6327,] 2.869477e-05 2.146695e-05 1.416963e-05 1.416664e-05 1.299294e-05 #>  [6328,] 1.409790e-05 1.398991e-05 1.428108e-05 1.495189e-05 1.473613e-05 #>  [6329,] 2.350024e-05 1.999145e-05 2.109709e-05 2.328114e-05 2.355682e-05 #>  [6330,] 1.849087e-05 2.074620e-05 1.421049e-05 1.563454e-05 1.568348e-05 #>  [6331,] 1.633564e-05 1.868589e-05 4.145925e-05 3.648336e-05 2.053960e-05 #>  [6332,] 5.647185e-05 9.519558e-05 3.831021e-04 3.149131e-04 1.798313e-04 #>  [6333,] 1.041672e-05 9.863254e-06 1.087269e-05 1.081177e-05 1.297083e-05 #>  [6334,] 1.073550e-05 1.060078e-05 1.113622e-05 1.185515e-05 1.202799e-05 #>  [6335,] 1.190967e-05 1.311100e-05 1.439341e-05 1.424302e-05 1.564032e-05 #>  [6336,] 1.527392e-05 2.069619e-05 1.868242e-05 1.730943e-05 1.920558e-05 #>  [6337,] 4.332873e-05 3.481489e-05 6.168292e-05 6.118849e-05 7.308079e-05 #>  [6338,] 1.238734e-05 1.284814e-05 1.202375e-05 1.267920e-05 1.244025e-05 #>  [6339,] 1.872732e-05 1.738797e-05 1.670116e-05 1.516393e-05 1.427322e-05 #>  [6340,] 1.226463e-05 1.249860e-05 1.423268e-05 1.515567e-05 1.564289e-05 #>  [6341,] 1.072847e-05 1.073985e-05 1.141737e-05 1.229654e-05 1.206565e-05 #>  [6342,] 1.537130e-05 1.427543e-05 1.525036e-05 1.583442e-05 1.599378e-05 #>  [6343,] 1.601703e-05 1.343475e-05 1.755680e-05 1.660160e-05 1.536954e-05 #>  [6344,] 3.768536e-05 3.903259e-05 6.877761e-05 5.507831e-05 6.412782e-05 #>  [6345,] 1.173666e-05 1.144641e-05 1.206015e-05 1.275172e-05 1.259763e-05 #>  [6346,] 3.103718e-05 5.108185e-05 4.947715e-05 4.746568e-05 5.400780e-05 #>  [6347,] 1.396146e-05 1.371655e-05 1.529172e-05 1.791206e-05 1.820387e-05 #>  [6348,] 1.517916e-05 1.645906e-05 1.409645e-05 1.483088e-05 1.477758e-05 #>  [6349,] 2.144035e-05 2.126552e-05 2.569991e-05 3.441599e-05 5.198399e-05 #>  [6350,] 3.323084e-05 3.223260e-05 5.301845e-05 4.797838e-05 5.079875e-05 #>  [6351,] 1.582333e-05 1.758385e-05 1.550141e-05 1.571620e-05 1.842243e-05 #>  [6352,] 3.123942e-05 3.094137e-05 3.852544e-05 2.255588e-05 5.774815e-05 #>  [6353,] 1.186377e-05 1.239234e-05 1.277528e-05 1.330799e-05 1.391896e-05 #>  [6354,] 1.210587e-05 1.281081e-05 1.526777e-05 1.506616e-05 1.494621e-05 #>  [6355,] 1.345798e-05 1.699846e-05 1.587903e-05 1.526400e-05 1.596854e-05 #>  [6356,] 1.313694e-05 1.398450e-05 1.383465e-05 1.331384e-05 1.467154e-05 #>  [6357,] 5.638694e-05 7.796488e-05 7.490055e-05 7.779000e-05 6.757850e-05 #>  [6358,] 1.426945e-05 1.482097e-05 1.503347e-05 1.530741e-05 1.590308e-05 #>  [6359,] 1.157692e-05 1.167994e-05 1.130910e-05 1.257605e-05 1.283821e-05 #>  [6360,] 2.385200e-05 3.273895e-05 6.929540e-05 6.266128e-05 5.303976e-05 #>  [6361,] 9.887936e-05 1.199486e-04 1.611579e-04 1.635192e-04 1.631765e-04 #>  [6362,] 1.345167e-05 1.417733e-05 1.491372e-05 1.558485e-05 1.622763e-05 #>  [6363,] 1.293992e-05 1.696401e-05 2.408382e-05 3.192277e-05 5.644009e-05 #>  [6364,] 4.059359e-05 4.329117e-05 2.450731e-05 9.235429e-05 2.572681e-04 #>  [6365,] 1.168350e-05 1.116856e-05 1.277659e-05 1.396698e-05 1.524591e-05 #>  [6366,] 2.420484e-05 3.354448e-05 7.913333e-05 7.681409e-05 1.022802e-04 #>  [6367,] 1.348497e-05 1.401452e-05 1.327286e-05 1.475363e-05 1.412182e-05 #>  [6368,] 1.166175e-05 1.224816e-05 1.172040e-05 1.305408e-05 1.300844e-05 #>  [6369,] 1.529079e-05 1.497840e-05 1.562100e-05 1.880496e-05 2.402568e-05 #>  [6370,] 1.315312e-05 1.324982e-05 1.519107e-05 1.619295e-05 1.571137e-05 #>  [6371,] 2.032508e-05 1.903787e-05 1.639867e-05 1.768559e-05 1.837779e-05 #>  [6372,] 1.535186e-05 1.400568e-05 1.545196e-05 1.738998e-05 1.647639e-05 #>  [6373,] 1.188255e-05 1.247714e-05 1.280951e-05 1.431125e-05 1.424614e-05 #>  [6374,] 2.552760e-05 2.698266e-05 1.992909e-05 2.560268e-05 2.238576e-05 #>  [6375,] 1.498464e-05 1.394693e-05 1.569575e-05 1.622705e-05 1.610370e-05 #>  [6376,] 1.062186e-05 1.075656e-05 1.076605e-05 1.069487e-05 1.297800e-05 #>  [6377,] 1.609415e-05 1.450939e-05 1.481461e-05 1.484646e-05 1.455593e-05 #>  [6378,] 1.303660e-05 1.417467e-05 1.489682e-05 1.710006e-05 1.655691e-05 #>  [6379,] 9.592911e-05 9.119940e-05 9.327510e-05 1.315543e-04 1.189132e-04 #>  [6380,] 1.256729e-05 1.338777e-05 1.377797e-05 1.383216e-05 1.373089e-05 #>  [6381,] 1.418947e-05 1.346303e-05 1.400159e-05 1.597447e-05 1.421443e-05 #>  [6382,] 1.496782e-05 1.491317e-05 1.525710e-05 1.619540e-05 1.505572e-05 #>  [6383,] 1.408556e-05 1.520352e-05 1.551043e-05 1.629405e-05 1.478947e-05 #>  [6384,] 1.229992e-05 1.191566e-05 1.235932e-05 1.457662e-05 1.405648e-05 #>  [6385,] 1.289369e-05 1.215990e-05 1.373641e-05 1.540314e-05 1.649609e-05 #>  [6386,] 1.012235e-03 9.896741e-04 1.073121e-03 1.214193e-03 1.117233e-03 #>  [6387,] 1.479310e-05 1.525338e-05 1.377620e-05 1.393717e-05 1.567139e-05 #>  [6388,] 3.968784e-04 2.093749e-04 1.203269e-04 1.581854e-04 2.293856e-04 #>  [6389,] 1.480721e-05 1.545097e-05 1.553049e-05 1.721918e-05 1.800455e-05 #>  [6390,] 8.254129e-05 7.484966e-05 3.933168e-05 3.861213e-05 3.819441e-05 #>  [6391,] 3.879251e-04 6.100054e-04 4.852962e-04 4.815755e-04 2.063903e-04 #>  [6392,] 1.324645e-05 1.514038e-05 1.524640e-05 1.394995e-05 1.621437e-05 #>  [6393,] 1.322643e-05 1.853603e-05 1.928238e-05 1.722392e-05 1.522193e-05 #>  [6394,] 1.378085e-05 1.443008e-05 1.451732e-05 1.504797e-05 1.624522e-05 #>  [6395,] 1.241744e-05 1.184856e-05 1.317415e-05 1.474494e-05 1.458482e-05 #>  [6396,] 1.467515e-05 1.570584e-05 1.626504e-05 1.598971e-05 1.705796e-05 #>  [6397,] 1.009988e-04 8.013928e-05 8.508657e-05 8.149519e-05 7.594043e-05 #>  [6398,] 1.283524e-05 1.367880e-05 1.766763e-05 1.727107e-05 1.389809e-05 #>  [6399,] 1.680605e-05 1.729958e-05 2.262342e-05 2.132741e-05 2.425266e-05 #>  [6400,] 2.535504e-05 3.406908e-05 1.866731e-05 1.459324e-05 1.729298e-05 #>  [6401,] 1.362984e-05 1.326535e-05 1.532263e-05 1.360037e-05 1.421744e-05 #>  [6402,] 5.768706e-05 4.462473e-05 3.664345e-05 3.437554e-05 3.190037e-05 #>  [6403,] 1.175043e-05 1.144391e-05 1.176503e-05 1.187324e-05 1.189197e-05 #>  [6404,] 1.163293e-05 1.106144e-05 1.165947e-05 1.293678e-05 1.389480e-05 #>  [6405,] 3.416444e-05 2.164399e-05 2.342218e-05 2.338331e-05 2.395895e-05 #>  [6406,] 1.322026e-05 1.495461e-05 1.879198e-05 1.961436e-05 2.078126e-05 #>  [6407,] 1.299852e-05 1.214364e-05 1.205793e-05 1.468771e-05 1.578391e-05 #>  [6408,] 1.185145e-05 1.167408e-05 1.193437e-05 1.268772e-05 1.226660e-05 #>  [6409,] 1.739547e-05 1.794070e-05 1.779836e-05 1.993810e-05 1.911614e-05 #>  [6410,] 1.511715e-05 1.540344e-05 1.644671e-05 1.629496e-05 1.577727e-05 #>  [6411,] 9.510669e-05 5.317830e-05 5.426119e-05 5.959478e-05 4.429172e-05 #>  [6412,] 1.220222e-05 1.310636e-05 1.210962e-05 1.264417e-05 1.235709e-05 #>  [6413,] 4.603433e-04 4.855714e-04 7.130473e-04 5.928675e-04 4.105763e-04 #>  [6414,] 1.524302e-05 1.594902e-05 1.955698e-05 2.185302e-05 1.861483e-05 #>  [6415,] 1.399768e-05 1.714912e-05 1.791528e-05 1.819599e-05 1.754184e-05 #>  [6416,] 1.060935e-05 1.119543e-05 1.231403e-05 1.178386e-05 1.097102e-05 #>  [6417,] 1.924113e-05 1.832740e-05 1.787773e-05 1.592593e-05 1.693459e-05 #>  [6418,] 1.426436e-05 1.500167e-05 1.428048e-05 1.490364e-05 1.555781e-05 #>  [6419,] 3.178131e-05 3.048019e-05 3.320457e-05 4.176305e-05 3.929979e-05 #>  [6420,] 2.764028e-05 2.600565e-05 3.555626e-05 4.276231e-05 4.764399e-05 #>  [6421,] 2.060391e-05 1.844245e-05 1.156308e-05 1.167872e-05 1.109270e-05 #>  [6422,] 1.651265e-05 1.852525e-05 1.657257e-05 1.740554e-05 1.801710e-05 #>  [6423,] 1.218647e-05 1.214741e-05 1.328325e-05 1.340600e-05 1.487039e-05 #>  [6424,] 1.371684e-05 1.448094e-05 1.720891e-05 1.501097e-05 1.571969e-05 #>  [6425,] 1.704646e-05 1.660978e-05 1.892397e-05 1.830817e-05 1.990026e-05 #>  [6426,] 1.992835e-05 2.061368e-05 2.413330e-05 2.608970e-05 2.646971e-05 #>  [6427,] 1.382920e-05 1.296555e-05 1.295499e-05 1.283360e-05 1.280454e-05 #>  [6428,] 1.925958e-05 1.796969e-05 1.749963e-05 1.745034e-05 1.953195e-05 #>  [6429,] 1.338405e-05 1.475422e-05 1.747465e-05 1.945737e-05 2.159146e-05 #>  [6430,] 2.131045e-05 1.237009e-05 1.274745e-05 1.627844e-05 3.005989e-05 #>  [6431,] 1.248010e-05 1.260815e-05 1.285220e-05 1.199923e-05 1.164310e-05 #>  [6432,] 1.131705e-05 1.105252e-05 1.213891e-05 1.209572e-05 1.191476e-05 #>  [6433,] 1.195290e-05 1.153119e-05 1.282885e-05 1.469464e-05 1.458030e-05 #>  [6434,] 1.129766e-05 1.156787e-05 1.263511e-05 1.425900e-05 1.505736e-05 #>  [6435,] 1.979737e-05 2.236804e-05 2.634180e-05 2.273866e-05 2.139351e-05 #>  [6436,] 5.085125e-05 3.912108e-05 6.042113e-05 6.310576e-05 6.588225e-05 #>  [6437,] 2.438447e-05 2.163832e-05 2.395459e-05 2.246516e-05 2.315463e-05 #>  [6438,] 1.164406e-04 8.376410e-05 1.376950e-04 1.264145e-04 1.157959e-04 #>  [6439,] 1.104474e-05 1.058440e-05 1.139815e-05 1.122269e-05 1.222373e-05 #>  [6440,] 1.279046e-05 1.195354e-05 1.267553e-05 1.463690e-05 1.496054e-05 #>  [6441,] 1.572020e-05 1.976465e-05 2.056792e-05 1.923564e-05 2.100938e-05 #>  [6442,] 1.333786e-05 1.395588e-05 1.562750e-05 1.547441e-05 1.741557e-05 #>  [6443,] 3.653500e-04 1.826409e-04 3.931019e-04 3.227024e-04 2.650834e-04 #>  [6444,] 1.245048e-05 1.346833e-05 1.314760e-05 1.323181e-05 1.420995e-05 #>  [6445,] 2.219491e-05 1.760570e-05 2.929613e-05 2.400406e-05 2.071149e-05 #>  [6446,] 1.263718e-05 1.604504e-05 2.373964e-05 1.984473e-05 3.532103e-05 #>  [6447,] 1.214474e-05 1.253197e-05 1.155432e-05 1.326224e-05 1.414268e-05 #>  [6448,] 1.288337e-05 1.272383e-05 1.329647e-05 1.518830e-05 1.638448e-05 #>  [6449,] 1.472834e-05 1.414337e-05 1.545669e-05 1.619792e-05 1.575728e-05 #>  [6450,] 1.109033e-05 1.240327e-05 1.254537e-05 1.266440e-05 2.048538e-05 #>  [6451,] 1.363016e-05 1.587531e-05 1.546508e-05 1.456376e-05 1.382895e-05 #>  [6452,] 1.332122e-05 1.340268e-05 1.343372e-05 1.597023e-05 1.537343e-05 #>  [6453,] 1.589416e-05 1.455983e-05 1.920971e-05 2.096091e-05 1.812433e-05 #>  [6454,] 3.010153e-05 1.930112e-05 1.541504e-05 2.400037e-05 2.987328e-05 #>  [6455,] 2.205742e-04 1.295789e-04 1.383914e-04 3.246930e-04 9.076466e-04 #>  [6456,] 2.321090e-05 2.231682e-05 1.428206e-05 1.409311e-05 1.406438e-05 #>  [6457,] 1.292639e-05 1.317768e-05 1.660827e-05 1.525885e-05 1.748311e-05 #>  [6458,] 1.339393e-05 1.302775e-05 1.270976e-05 1.209288e-05 1.351708e-05 #>  [6459,] 2.489068e-05 3.079579e-05 1.310341e-05 1.407906e-05 1.354088e-05 #>  [6460,] 1.475589e-05 1.660048e-05 1.375453e-05 1.551169e-05 1.535958e-05 #>  [6461,] 8.740777e-05 7.760177e-05 9.403127e-05 7.308506e-05 5.816722e-05 #>  [6462,] 1.352904e-05 1.286872e-05 1.389357e-05 1.739295e-05 2.123947e-05 #>  [6463,] 4.464587e-05 3.172815e-05 2.388065e-05 2.820531e-05 3.523120e-05 #>  [6464,] 1.123826e-05 1.093389e-05 1.147333e-05 1.196834e-05 1.151703e-05 #>  [6465,] 1.395365e-05 1.413706e-05 1.608046e-05 1.955743e-05 2.215062e-05 #>  [6466,] 1.506106e-05 1.624342e-05 1.773393e-05 1.961064e-05 4.756537e-05 #>  [6467,] 1.617079e-05 1.920050e-05 1.728838e-05 1.659962e-05 1.726911e-05 #>  [6468,] 1.672147e-05 2.286960e-05 4.347713e-05 5.507141e-05 8.916842e-05 #>  [6469,] 3.182840e-05 1.379899e-05 1.896207e-05 2.106065e-05 2.008360e-05 #>  [6470,] 2.784937e-05 2.174518e-05 3.302684e-05 5.116137e-05 6.744113e-05 #>  [6471,] 1.412483e-05 1.321481e-05 1.178617e-05 1.291127e-05 1.321340e-05 #>  [6472,] 1.070759e-05 1.053077e-05 1.089348e-05 1.118417e-05 1.102974e-05 #>  [6473,] 3.733591e-05 4.270941e-05 3.337382e-05 3.255480e-05 3.154857e-05 #>  [6474,] 2.300042e-04 1.487808e-04 1.480002e-04 1.546883e-04 1.396773e-04 #>  [6475,] 1.288321e-05 1.268396e-05 1.309816e-05 1.329663e-05 1.339705e-05 #>  [6476,] 1.661404e-05 1.476332e-05 1.383385e-05 1.664287e-05 2.166181e-05 #>  [6477,] 1.205050e-05 1.199245e-05 1.216298e-05 1.345280e-05 1.443759e-05 #>  [6478,] 1.284704e-05 1.216130e-05 1.366098e-05 1.419888e-05 1.517157e-05 #>  [6479,] 1.302136e-05 1.360916e-05 1.343582e-05 1.365464e-05 1.396715e-05 #>  [6480,] 1.298529e-05 1.250133e-05 1.084425e-05 1.155857e-05 1.166728e-05 #>  [6481,] 2.762799e-05 2.072484e-05 2.390978e-05 2.921380e-05 2.822507e-05 #>  [6482,] 4.601141e-05 3.719333e-05 2.895256e-05 2.876245e-05 5.860774e-05 #>  [6483,] 1.545747e-05 1.588903e-05 1.539285e-05 1.868330e-05 1.934471e-05 #>  [6484,] 1.705024e-05 1.545190e-05 1.518472e-05 1.570960e-05 1.576786e-05 #>  [6485,] 1.142377e-05 1.232006e-05 1.246461e-05 1.303148e-05 1.568379e-05 #>  [6486,] 1.495423e-05 1.784551e-05 1.581388e-05 1.657262e-05 1.733231e-05 #>  [6487,] 5.754122e-05 5.781052e-05 1.128652e-04 1.342700e-04 1.346897e-04 #>  [6488,] 1.291944e-05 1.288402e-05 1.225947e-05 1.399641e-05 1.302343e-05 #>  [6489,] 3.327245e-05 3.021846e-05 2.963905e-05 3.011364e-05 2.161687e-05 #>  [6490,] 1.993530e-05 2.162258e-05 2.202416e-05 3.655514e-05 3.338376e-05 #>  [6491,] 1.200161e-05 1.272792e-05 1.252864e-05 1.191071e-05 1.226722e-05 #>  [6492,] 1.846130e-05 2.835238e-05 7.251004e-05 6.888670e-05 4.602798e-05 #>  [6493,] 4.661142e-05 6.731447e-05 1.251230e-04 1.141757e-04 1.005509e-04 #>  [6494,] 5.868559e-05 7.699654e-05 8.260481e-05 5.707439e-05 5.615096e-05 #>  [6495,] 1.091582e-04 1.774778e-04 2.939028e-04 3.612111e-04 2.356055e-04 #>  [6496,] 1.176529e-05 1.312931e-05 1.492547e-05 1.456313e-05 1.352260e-05 #>  [6497,] 1.204883e-05 1.228242e-05 1.157205e-05 1.126739e-05 1.184201e-05 #>  [6498,] 1.246961e-05 1.240949e-05 1.394494e-05 1.464810e-05 1.528913e-05 #>  [6499,] 1.298980e-04 2.074584e-04 4.083932e-04 3.588014e-04 6.085030e-04 #>  [6500,] 1.440422e-05 1.448646e-05 1.286756e-05 1.474258e-05 1.548081e-05 #>  [6501,] 1.582193e-05 1.438469e-05 1.368526e-05 1.422518e-05 1.314414e-05 #>  [6502,] 1.603146e-05 1.651535e-05 1.654524e-05 1.738247e-05 1.587284e-05 #>  [6503,] 3.864401e-05 4.169575e-05 4.510438e-05 5.653617e-05 4.861600e-05 #>  [6504,] 1.113567e-05 1.023029e-05 1.118433e-05 1.167786e-05 1.336310e-05 #>  [6505,] 1.270579e-05 1.416152e-05 1.369294e-05 1.531324e-05 1.617116e-05 #>  [6506,] 8.117190e-05 7.029853e-05 9.218171e-05 8.747676e-05 3.117558e-04 #>  [6507,] 1.588821e-05 1.543840e-05 1.413400e-05 1.375903e-05 1.522221e-05 #>  [6508,] 6.523834e-05 6.833299e-05 5.615254e-05 5.824208e-05 6.134870e-05 #>  [6509,] 1.302413e-05 1.242261e-05 1.316008e-05 1.453913e-05 1.371602e-05 #>  [6510,] 3.156350e-05 2.839825e-05 2.926171e-05 3.104921e-05 3.248221e-05 #>  [6511,] 5.048883e-05 1.784215e-04 3.014469e-04 2.417190e-04 2.369850e-04 #>  [6512,] 1.185627e-05 1.121772e-05 1.171801e-05 1.186354e-05 1.202556e-05 #>  [6513,] 6.836300e-05 6.574152e-05 8.894081e-05 8.226888e-05 7.681217e-05 #>  [6514,] 1.687710e-05 1.683743e-05 2.911761e-05 3.880188e-05 4.280534e-05 #>  [6515,] 1.623197e-05 1.634704e-05 1.406017e-05 1.594975e-05 1.810954e-05 #>  [6516,] 1.133042e-04 1.874772e-04 1.711715e-04 8.678662e-05 7.428615e-05 #>  [6517,] 3.364256e-05 2.135494e-05 2.233234e-05 2.342106e-05 2.286575e-05 #>  [6518,] 1.304643e-05 1.397449e-05 1.404311e-05 1.358990e-05 1.371027e-05 #>  [6519,] 1.171563e-05 1.066794e-05 1.218587e-05 1.262597e-05 1.352566e-05 #>  [6520,] 6.242713e-05 7.778829e-05 4.964128e-05 4.686712e-05 6.867415e-05 #>  [6521,] 1.271902e-05 1.389608e-05 1.503251e-05 1.395586e-05 1.441529e-05 #>  [6522,] 1.435150e-05 1.467898e-05 1.756118e-05 1.702991e-05 1.658482e-05 #>  [6523,] 1.512843e-05 1.769098e-05 2.806846e-05 2.614158e-05 3.722996e-05 #>  [6524,] 1.140027e-05 1.126980e-05 1.205437e-05 1.353542e-05 1.408012e-05 #>  [6525,] 1.837100e-05 1.911066e-05 1.862491e-05 2.036621e-05 1.888572e-05 #>  [6526,] 1.225733e-05 1.361300e-05 1.551722e-05 1.346180e-05 1.470027e-05 #>  [6527,] 1.313913e-05 1.335475e-05 1.517387e-05 1.669173e-05 1.733158e-05 #>  [6528,] 1.368608e-05 1.379297e-05 1.317893e-05 1.380258e-05 1.355655e-05 #>  [6529,] 1.254975e-05 1.336415e-05 1.500051e-05 1.608350e-05 1.565475e-05 #>  [6530,] 1.139297e-05 1.205525e-05 1.113914e-05 1.159840e-05 1.207846e-05 #>  [6531,] 1.323245e-05 1.396830e-05 1.453019e-05 1.415670e-05 1.438327e-05 #>  [6532,] 1.672762e-05 1.779492e-05 1.635390e-05 1.749011e-05 1.677115e-05 #>  [6533,] 2.683489e-05 3.039950e-05 3.022026e-05 3.703749e-05 3.339564e-05 #>  [6534,] 1.143699e-05 1.517022e-05 1.521921e-05 1.314952e-05 1.778754e-05 #>  [6535,] 3.414509e-05 2.826557e-05 1.303115e-05 1.315309e-05 1.335375e-05 #>  [6536,] 1.466411e-05 1.617607e-05 1.546776e-05 1.697869e-05 1.724329e-05 #>  [6537,] 1.438995e-05 1.407235e-05 1.394686e-05 1.528132e-05 1.653668e-05 #>  [6538,] 1.196227e-05 1.227527e-05 1.345199e-05 1.359079e-05 1.448833e-05 #>  [6539,] 1.314813e-05 1.373819e-05 1.694483e-05 1.446401e-05 1.514808e-05 #>  [6540,] 2.671293e-05 3.044024e-05 1.681397e-05 1.634806e-05 1.619331e-05 #>  [6541,] 2.493272e-05 1.668786e-05 2.041274e-05 2.724892e-05 3.456867e-05 #>  [6542,] 1.394711e-05 1.463040e-05 1.985910e-05 1.630837e-05 1.678689e-05 #>  [6543,] 1.203491e-05 1.190078e-05 1.117744e-05 1.149173e-05 1.186611e-05 #>  [6544,] 1.262608e-05 1.238981e-05 1.270030e-05 1.272972e-05 1.289178e-05 #>  [6545,] 1.494065e-05 1.540349e-05 1.302535e-05 1.444685e-05 1.380743e-05 #>  [6546,] 7.189560e-05 8.000411e-05 1.201445e-04 1.050008e-04 8.370591e-05 #>  [6547,] 1.267427e-05 1.414395e-05 1.538596e-05 1.605546e-05 1.519391e-05 #>  [6548,] 1.298004e-05 1.327620e-05 1.217358e-05 1.232346e-05 1.324899e-05 #>  [6549,] 1.309308e-05 1.284444e-05 1.137444e-05 1.320954e-05 1.747848e-05 #>  [6550,] 5.830068e-05 5.378096e-05 7.263513e-05 7.870310e-05 6.884887e-05 #>  [6551,] 1.619447e-05 1.802789e-05 2.027879e-05 2.136126e-05 2.578429e-05 #>  [6552,] 1.514096e-05 1.421861e-05 1.688463e-05 1.960545e-05 1.969266e-05 #>  [6553,] 1.495254e-05 1.523839e-05 1.891798e-05 1.678758e-05 1.718296e-05 #>  [6554,] 1.406143e-05 1.275295e-05 1.152991e-05 1.170354e-05 1.240896e-05 #>  [6555,] 3.679228e-05 2.933423e-05 3.198090e-05 3.289358e-05 3.234008e-05 #>  [6556,] 1.009543e-05 9.869585e-06 1.046878e-05 1.076123e-05 1.084644e-05 #>  [6557,] 1.187446e-05 1.178067e-05 1.252673e-05 1.364265e-05 1.377667e-05 #>  [6558,] 1.243043e-05 1.234425e-05 1.366988e-05 1.446415e-05 1.443765e-05 #>  [6559,] 1.382788e-05 1.392817e-05 1.631383e-05 1.503006e-05 1.550281e-05 #>  [6560,] 1.360901e-05 1.324308e-05 1.277669e-05 1.287049e-05 1.261980e-05 #>  [6561,] 6.123303e-05 2.887318e-05 2.227164e-05 2.066440e-05 1.584073e-05 #>  [6562,] 4.313196e-05 5.343510e-05 6.778547e-05 4.793780e-05 2.159509e-05 #>  [6563,] 1.838537e-05 2.333437e-05 2.470278e-05 1.866095e-05 1.777137e-05 #>  [6564,] 3.625163e-05 4.453436e-05 8.281870e-05 8.206334e-05 7.814515e-05 #>  [6565,] 4.827094e-05 5.005933e-05 2.235371e-05 2.195011e-05 2.312177e-05 #>  [6566,] 1.358350e-04 5.669894e-05 3.388828e-05 2.176805e-05 1.410052e-05 #>  [6567,] 1.230480e-05 1.216398e-05 1.371314e-05 1.466299e-05 1.619679e-05 #>  [6568,] 1.376035e-05 1.415965e-05 1.614146e-05 1.725337e-05 1.703303e-05 #>  [6569,] 1.864701e-05 1.654169e-05 2.358081e-05 2.299536e-05 2.633191e-05 #>  [6570,] 1.242676e-05 1.330829e-05 1.344262e-05 1.382200e-05 1.343712e-05 #>  [6571,] 1.211526e-05 1.309537e-05 1.457504e-05 1.421321e-05 1.540802e-05 #>  [6572,] 3.418151e-05 2.756722e-05 3.553899e-05 2.885713e-05 1.997264e-05 #>  [6573,] 1.585337e-05 1.591332e-05 1.458551e-05 1.331784e-05 1.325568e-05 #>  [6574,] 1.179831e-05 1.212706e-05 1.195790e-05 1.189192e-05 1.260207e-05 #>  [6575,] 7.197706e-05 3.811066e-05 4.317192e-05 5.787482e-05 9.922952e-05 #>  [6576,] 1.533185e-05 1.642035e-05 2.176034e-05 1.933886e-05 1.639711e-05 #>  [6577,] 1.506300e-05 1.601201e-05 1.848019e-05 1.954042e-05 1.906993e-05 #>  [6578,] 1.427861e-05 1.474248e-05 1.474528e-05 1.597069e-05 1.815026e-05 #>  [6579,] 1.388042e-05 1.441936e-05 1.537881e-05 1.720650e-05 1.606809e-05 #>  [6580,] 1.091701e-05 1.160421e-05 1.358691e-05 1.438193e-05 1.476583e-05 #>  [6581,] 1.429431e-05 1.648495e-05 1.899777e-05 1.502786e-05 1.615926e-05 #>  [6582,] 1.065200e-05 1.037922e-05 1.115317e-05 1.061739e-05 1.119824e-05 #>  [6583,] 1.126838e-05 1.127694e-05 1.126971e-05 1.243071e-05 1.292566e-05 #>  [6584,] 1.369876e-05 1.252692e-05 1.389558e-05 1.684889e-05 2.071894e-05 #>  [6585,] 1.173100e-05 1.239395e-05 1.502186e-05 1.494598e-05 1.567613e-05 #>  [6586,] 1.260775e-05 1.435101e-05 1.663962e-05 1.386372e-05 1.521211e-05 #>  [6587,] 1.264567e-05 1.974024e-05 1.552524e-05 1.488645e-05 1.732585e-05 #>  [6588,] 1.031791e-04 5.604340e-05 1.543094e-05 1.830173e-05 1.745515e-05 #>  [6589,] 3.251840e-05 3.673326e-05 3.016175e-05 2.609116e-05 2.585143e-05 #>  [6590,] 1.987816e-05 2.104251e-05 2.383426e-05 2.853414e-05 3.702734e-05 #>  [6591,] 4.636659e-05 6.170985e-05 1.407918e-04 1.165044e-04 7.897326e-05 #>  [6592,] 1.848872e-05 2.042650e-05 2.430419e-05 2.507705e-05 2.778968e-05 #>  [6593,] 1.307386e-05 1.261324e-05 1.204052e-05 1.422381e-05 1.459986e-05 #>  [6594,] 1.430438e-05 1.787815e-05 4.399903e-05 3.004612e-05 2.893404e-05 #>  [6595,] 1.780751e-05 1.711987e-05 2.852241e-05 2.720541e-05 3.061875e-05 #>  [6596,] 1.164338e-05 1.158098e-05 1.367903e-05 1.262007e-05 1.444421e-05 #>  [6597,] 1.004499e-04 8.610049e-05 5.186199e-05 9.421756e-05 8.282969e-05 #>  [6598,] 2.620503e-05 1.833180e-05 3.062763e-05 3.747344e-05 3.417669e-05 #>  [6599,] 1.461878e-05 1.746294e-05 2.885683e-05 2.791222e-05 4.878231e-05 #>  [6600,] 1.319443e-05 1.312354e-05 1.285579e-05 1.388216e-05 1.374338e-05 #>  [6601,] 1.296684e-05 1.233860e-05 1.318450e-05 1.507133e-05 1.720313e-05 #>  [6602,] 1.275129e-05 1.315476e-05 1.397212e-05 1.432616e-05 1.548448e-05 #>  [6603,] 7.195494e-05 9.539021e-05 1.456066e-04 1.310142e-04 1.142655e-04 #>  [6604,] 4.588658e-05 5.664771e-05 5.193144e-05 5.517401e-05 4.881305e-05 #>  [6605,] 1.638465e-05 1.845291e-05 1.594076e-05 1.682930e-05 1.708738e-05 #>  [6606,] 3.883911e-05 4.709582e-05 8.205848e-05 9.394322e-05 6.616510e-05 #>  [6607,] 1.311668e-05 1.225515e-05 1.178195e-05 1.346706e-05 1.448586e-05 #>  [6608,] 1.456064e-05 1.790948e-05 3.157618e-05 2.884920e-05 4.433010e-05 #>  [6609,] 2.255749e-05 2.717453e-05 5.368877e-05 5.295898e-05 5.615788e-05 #>  [6610,] 1.377397e-05 1.440223e-05 1.566883e-05 1.599253e-05 1.499285e-05 #>  [6611,] 1.234851e-05 1.304778e-05 1.471990e-05 1.501877e-05 1.523794e-05 #>  [6612,] 1.611315e-05 1.593159e-05 1.521268e-05 1.606471e-05 1.613497e-05 #>  [6613,] 2.419095e-05 3.247808e-05 4.281542e-05 4.822598e-05 4.523519e-05 #>  [6614,] 1.631302e-05 1.616574e-05 1.541184e-05 1.698434e-05 1.714108e-05 #>  [6615,] 1.331001e-05 1.576456e-05 1.412451e-05 1.539318e-05 1.558114e-05 #>  [6616,] 5.750097e-05 3.047138e-05 2.560266e-05 3.312346e-05 4.665004e-05 #>  [6617,] 1.463188e-05 1.676967e-05 2.664795e-05 2.682490e-05 2.722864e-05 #>  [6618,] 2.362219e-05 6.525506e-05 2.012292e-04 1.734352e-04 2.640939e-04 #>  [6619,] 1.558146e-05 1.675590e-05 1.351969e-05 1.354174e-05 1.461947e-05 #>  [6620,] 2.945290e-05 2.496159e-05 3.214714e-05 2.635466e-05 2.161391e-05 #>  [6621,] 1.279398e-05 1.406296e-05 1.610936e-05 1.733073e-05 1.886478e-05 #>  [6622,] 1.670336e-05 1.825659e-05 2.079761e-05 2.181167e-05 2.425367e-05 #>  [6623,] 4.103631e-05 5.642972e-05 4.787830e-05 4.636186e-05 5.567727e-05 #>  [6624,] 1.102909e-05 1.182670e-05 1.252066e-05 1.303761e-05 1.425518e-05 #>  [6625,] 1.355564e-05 1.335192e-05 1.425330e-05 1.435403e-05 1.428486e-05 #>  [6626,] 3.271953e-05 2.154891e-05 2.574641e-05 2.348170e-05 2.565189e-05 #>  [6627,] 1.139665e-05 1.126911e-05 1.078886e-05 1.106605e-05 1.052036e-05 #>  [6628,] 1.388092e-05 1.358617e-05 1.420594e-05 1.452326e-05 1.354095e-05 #>  [6629,] 1.151571e-05 1.119125e-05 1.076736e-05 1.105900e-05 1.096064e-05 #>  [6630,] 1.300081e-05 1.425666e-05 1.434663e-05 1.475274e-05 1.817917e-05 #>  [6631,] 1.322500e-05 1.312458e-05 1.522410e-05 1.568713e-05 1.460583e-05 #>  [6632,] 1.304602e-05 1.556911e-05 1.500827e-05 1.512429e-05 1.542740e-05 #>  [6633,] 1.123317e-05 1.058044e-05 1.078860e-05 1.194002e-05 1.151681e-05 #>  [6634,] 3.453344e-05 4.134776e-05 5.377111e-05 7.037326e-05 9.493461e-05 #>  [6635,] 1.226951e-05 1.265705e-05 1.268513e-05 1.370459e-05 1.402674e-05 #>  [6636,] 4.304992e-05 3.300645e-05 4.115465e-05 5.228346e-05 4.966015e-05 #>  [6637,] 1.246587e-05 1.248384e-05 1.318542e-05 1.330047e-05 1.495744e-05 #>  [6638,] 1.385530e-05 1.389975e-05 1.531794e-05 1.661677e-05 2.381647e-05 #>  [6639,] 2.843256e-05 1.735928e-05 2.404972e-05 2.688490e-05 2.739419e-05 #>  [6640,] 1.097738e-05 1.154025e-05 1.086566e-05 1.144577e-05 1.193676e-05 #>  [6641,] 1.360649e-05 1.279066e-05 1.438341e-05 1.595387e-05 1.505323e-05 #>  [6642,] 1.215971e-05 1.262133e-05 1.361278e-05 1.495304e-05 1.427302e-05 #>  [6643,] 1.316017e-05 1.491528e-05 1.529507e-05 1.630387e-05 1.595763e-05 #>  [6644,] 1.277780e-05 1.796314e-05 7.890756e-05 2.367129e-05 1.313169e-05 #>  [6645,] 1.948231e-05 1.828534e-05 1.556644e-05 1.824684e-05 1.830267e-05 #>  [6646,] 4.693106e-05 3.765241e-05 4.840405e-05 5.052259e-05 3.734708e-05 #>  [6647,] 1.243970e-05 1.288656e-05 1.372112e-05 1.340008e-05 1.410630e-05 #>  [6648,] 1.344223e-04 1.363666e-04 1.351073e-04 1.253629e-04 8.420258e-05 #>  [6649,] 1.751469e-05 2.700364e-05 2.205510e-05 1.966729e-05 2.147938e-05 #>  [6650,] 1.416202e-05 1.463659e-05 2.399081e-05 2.550117e-05 3.085585e-05 #>  [6651,] 1.309834e-05 1.355962e-05 1.558956e-05 1.646825e-05 1.554775e-05 #>  [6652,] 1.406540e-05 1.500491e-05 1.741624e-05 1.687736e-05 1.465800e-05 #>  [6653,] 1.208069e-05 1.234143e-05 1.302010e-05 1.378622e-05 1.437299e-05 #>  [6654,] 3.276687e-05 4.516517e-05 2.766689e-05 3.195142e-05 4.362826e-05 #>  [6655,] 1.320210e-05 1.355855e-05 1.736605e-05 1.557975e-05 1.456676e-05 #>  [6656,] 1.399490e-05 1.379388e-05 1.739941e-05 1.529856e-05 1.799213e-05 #>  [6657,] 1.292505e-05 1.306093e-05 1.249883e-05 1.464095e-05 1.434352e-05 #>  [6658,] 1.129442e-05 1.161122e-05 1.155483e-05 1.190165e-05 1.235235e-05 #>  [6659,] 1.243245e-05 1.263568e-05 1.283299e-05 1.402845e-05 1.535364e-05 #>  [6660,] 1.324778e-05 1.346047e-05 1.416155e-05 1.389645e-05 1.391627e-05 #>  [6661,] 1.664172e-05 1.556277e-05 1.778671e-05 2.170307e-05 2.956639e-05 #>  [6662,] 6.814687e-05 3.810460e-05 3.332811e-05 3.525731e-05 3.615099e-05 #>  [6663,] 6.053634e-05 1.424190e-04 1.102466e-04 8.353951e-05 4.245822e-05 #>  [6664,] 1.272627e-05 1.264713e-05 1.390317e-05 1.433199e-05 1.472267e-05 #>  [6665,] 1.269893e-05 1.304540e-05 1.685756e-05 1.596253e-05 1.598562e-05 #>  [6666,] 2.721432e-05 2.024772e-05 1.747083e-05 2.394749e-05 2.802620e-05 #>  [6667,] 1.302250e-05 1.233569e-05 1.263011e-05 1.352598e-05 1.498211e-05 #>  [6668,] 1.011220e-05 1.004529e-05 1.043099e-05 1.053403e-05 1.105584e-05 #>  [6669,] 1.173141e-05 1.137130e-05 1.158707e-05 1.288481e-05 1.393713e-05 #>  [6670,] 3.054832e-04 2.598829e-04 1.998155e-04 2.140269e-04 3.895581e-04 #>  [6671,] 1.442543e-05 1.506469e-05 1.833061e-05 1.693839e-05 1.979321e-05 #>  [6672,] 1.267061e-05 1.287095e-05 1.284167e-05 1.303345e-05 1.283809e-05 #>  [6673,] 1.354726e-05 1.252418e-05 1.908673e-05 1.842455e-05 1.538741e-05 #>  [6674,] 1.493515e-05 1.750316e-05 1.706424e-05 1.742786e-05 1.608609e-05 #>  [6675,] 1.218711e-05 1.294555e-05 1.308250e-05 1.221509e-05 1.422196e-05 #>  [6676,] 1.460092e-05 1.509122e-05 1.477087e-05 1.452894e-05 1.842409e-05 #>  [6677,] 1.364195e-05 1.416132e-05 1.499430e-05 1.594371e-05 1.781542e-05 #>  [6678,] 1.001403e-05 1.158114e-05 1.398987e-05 1.226839e-05 1.450774e-05 #>  [6679,] 1.024590e-05 9.898512e-06 1.032784e-05 1.144671e-05 1.160236e-05 #>  [6680,] 1.255309e-05 1.132427e-05 1.271312e-05 1.456612e-05 1.389085e-05 #>  [6681,] 1.083761e-05 1.179111e-05 1.182768e-05 1.213587e-05 1.152375e-05 #>  [6682,] 4.101650e-05 6.165065e-05 7.390414e-05 1.044928e-04 1.055349e-04 #>  [6683,] 1.224671e-05 1.382156e-05 1.469831e-05 1.565723e-05 1.721838e-05 #>  [6684,] 1.334077e-05 1.227760e-05 1.217159e-05 1.420776e-05 1.573142e-05 #>  [6685,] 1.885112e-05 1.883247e-05 1.793133e-05 1.866281e-05 1.851615e-05 #>  [6686,] 1.794573e-05 1.844286e-05 1.717836e-05 1.832993e-05 1.809671e-05 #>  [6687,] 7.300257e-05 3.185498e-05 3.247544e-05 3.285226e-05 2.844733e-05 #>  [6688,] 1.103594e-05 1.098121e-05 1.179540e-05 1.193546e-05 1.294583e-05 #>  [6689,] 2.964087e-05 2.596324e-05 1.632783e-05 1.601112e-05 1.667214e-05 #>  [6690,] 3.475164e-05 3.332746e-05 3.314188e-05 4.076772e-05 5.705018e-05 #>  [6691,] 1.395494e-05 1.701779e-05 1.886570e-05 2.554061e-05 2.681808e-05 #>  [6692,] 1.183437e-05 1.223040e-05 1.115015e-05 1.217589e-05 1.262141e-05 #>  [6693,] 1.395986e-05 1.321795e-05 1.368934e-05 1.448755e-05 1.578996e-05 #>  [6694,] 7.397338e-05 8.564151e-05 7.257383e-05 8.375252e-05 7.243924e-05 #>  [6695,] 1.397801e-05 1.339305e-05 1.417483e-05 1.604937e-05 1.898819e-05 #>  [6696,] 2.615838e-05 1.919987e-05 1.962065e-05 2.205392e-05 2.583557e-05 #>  [6697,] 1.074461e-05 1.107599e-05 1.076230e-05 1.113822e-05 1.144925e-05 #>  [6698,] 1.081828e-05 1.067653e-05 1.193206e-05 1.234040e-05 1.242418e-05 #>  [6699,] 1.907427e-05 1.726084e-05 2.388538e-05 2.497525e-05 2.869729e-05 #>  [6700,] 1.625122e-05 1.289540e-05 1.580728e-05 1.545684e-05 1.558497e-05 #>  [6701,] 1.119591e-05 1.645514e-05 2.570559e-05 1.791885e-05 3.241750e-05 #>  [6702,] 1.386227e-05 1.272392e-05 1.432536e-05 1.635307e-05 1.715655e-05 #>  [6703,] 1.162529e-05 1.133388e-05 1.243853e-05 1.400306e-05 1.512508e-05 #>  [6704,] 1.228960e-05 1.291254e-05 1.351015e-05 1.424630e-05 1.550061e-05 #>  [6705,] 1.384621e-05 1.606336e-05 1.631962e-05 1.477288e-05 1.661695e-05 #>  [6706,] 1.448222e-05 1.808427e-05 1.488800e-05 1.543776e-05 1.898516e-05 #>  [6707,] 5.721926e-05 4.591341e-05 1.645648e-05 1.426387e-05 1.529441e-05 #>  [6708,] 6.923483e-05 1.605655e-04 8.132666e-05 1.847967e-05 2.190031e-05 #>  [6709,] 1.897459e-05 2.337642e-05 2.435079e-05 2.105005e-05 1.682423e-05 #>  [6710,] 1.405733e-05 1.309019e-05 1.375784e-05 1.535857e-05 1.556319e-05 #>  [6711,] 1.446058e-05 1.458595e-05 1.640545e-05 1.656554e-05 1.547566e-05 #>  [6712,] 1.102736e-05 1.174000e-05 1.197316e-05 1.265012e-05 1.245395e-05 #>  [6713,] 2.597667e-05 5.693063e-05 5.389161e-05 4.378428e-05 4.107846e-05 #>  [6714,] 1.043015e-05 9.480670e-06 1.064062e-05 1.053353e-05 1.074139e-05 #>  [6715,] 1.116160e-05 1.042999e-05 1.179061e-05 1.314537e-05 1.352642e-05 #>  [6716,] 1.149392e-05 1.260714e-05 1.404863e-05 1.393965e-05 1.529446e-05 #>  [6717,] 1.111346e-05 1.252338e-05 1.374398e-05 1.407934e-05 1.477165e-05 #>  [6718,] 1.629182e-05 1.658522e-05 1.613882e-05 1.732290e-05 1.714211e-05 #>  [6719,] 1.536032e-05 1.310200e-05 1.484789e-05 1.578245e-05 1.494600e-05 #>  [6720,] 2.680352e-05 2.912786e-05 3.238122e-05 3.559895e-05 4.591611e-05 #>  [6721,] 1.555022e-05 1.796066e-05 1.620488e-05 1.783945e-05 1.703073e-05 #>  [6722,] 1.378602e-05 1.594343e-05 4.000084e-05 2.764043e-05 3.045209e-05 #>  [6723,] 4.426936e-05 3.793767e-05 2.113588e-05 2.361649e-05 4.339529e-05 #>  [6724,] 1.701499e-05 1.643784e-05 1.361508e-05 1.390636e-05 1.485965e-05 #>  [6725,] 1.321981e-05 1.510380e-05 1.380431e-05 1.516709e-05 1.541331e-05 #>  [6726,] 1.341253e-05 1.523671e-05 1.480057e-05 1.463135e-05 1.561097e-05 #>  [6727,] 1.403184e-05 1.231685e-05 1.315511e-05 1.526908e-05 1.606117e-05 #>  [6728,] 1.376698e-05 1.364350e-05 1.515467e-05 1.579506e-05 1.570697e-05 #>  [6729,] 1.691912e-05 3.024945e-05 1.505487e-04 1.219836e-04 9.475820e-05 #>  [6730,] 5.769775e-05 8.021003e-05 6.068353e-05 6.549373e-05 6.624337e-05 #>  [6731,] 1.388349e-05 1.391772e-05 1.475192e-05 1.549007e-05 1.505252e-05 #>  [6732,] 1.373851e-05 1.518557e-05 2.454962e-05 2.017555e-05 1.942282e-05 #>  [6733,] 1.151444e-05 1.069824e-05 1.112630e-05 1.235322e-05 1.207225e-05 #>  [6734,] 1.668395e-05 1.571310e-05 1.418598e-05 1.507473e-05 1.589373e-05 #>  [6735,] 1.498058e-05 1.361578e-05 1.351302e-05 1.451524e-05 1.765909e-05 #>  [6736,] 1.647510e-05 1.855132e-05 1.709100e-05 1.896553e-05 1.984665e-05 #>  [6737,] 1.319392e-05 1.498575e-05 1.943556e-05 1.808905e-05 1.829807e-05 #>  [6738,] 1.332809e-05 1.275341e-05 1.539642e-05 1.592591e-05 1.679513e-05 #>  [6739,] 1.505915e-05 1.543772e-05 1.947987e-05 1.815678e-05 1.705352e-05 #>  [6740,] 1.328674e-05 1.453550e-05 1.366341e-05 1.335738e-05 1.372742e-05 #>  [6741,] 1.322817e-05 1.263762e-05 1.284952e-05 1.482794e-05 1.452556e-05 #>  [6742,] 3.990154e-05 3.722706e-05 2.972771e-05 2.900715e-05 3.312587e-05 #>  [6743,] 1.176241e-05 1.234973e-05 1.270559e-05 1.414399e-05 1.467106e-05 #>  [6744,] 1.265810e-05 1.490466e-05 2.084082e-05 1.501267e-05 1.835408e-05 #>  [6745,] 1.215612e-05 1.281020e-05 1.351244e-05 1.372776e-05 1.400262e-05 #>  [6746,] 1.595648e-05 1.604805e-05 1.651549e-05 1.570042e-05 1.604930e-05 #>  [6747,] 1.071184e-03 9.499427e-04 9.467198e-04 1.006065e-03 9.943646e-04 #>  [6748,] 2.093195e-04 3.031544e-04 4.044129e-04 7.031095e-05 3.347043e-04 #>  [6749,] 1.120387e-05 1.035929e-05 1.113210e-05 1.159250e-05 1.093234e-05 #>  [6750,] 4.731501e-05 6.672040e-05 2.406633e-04 2.585086e-04 2.236933e-04 #>  [6751,] 1.147911e-05 1.121028e-05 1.227894e-05 1.227779e-05 1.191199e-05 #>  [6752,] 1.249209e-05 1.170499e-05 1.365898e-05 1.551542e-05 1.427939e-05 #>  [6753,] 1.105964e-05 1.114109e-05 1.308597e-05 1.366352e-05 1.462596e-05 #>  [6754,] 1.249123e-05 1.363499e-05 1.305199e-05 1.320725e-05 1.295229e-05 #>  [6755,] 1.353533e-05 1.438398e-05 1.456081e-05 1.540324e-05 1.545276e-05 #>  [6756,] 1.447218e-05 1.377288e-05 1.392329e-05 1.650565e-05 1.744651e-05 #>  [6757,] 2.356084e-05 2.170442e-05 2.634046e-05 3.443775e-05 3.377727e-05 #>  [6758,] 1.899626e-05 2.304972e-05 5.257148e-05 3.738636e-05 3.755324e-05 #>  [6759,] 1.209374e-05 1.225166e-05 1.217866e-05 1.202285e-05 1.260763e-05 #>  [6760,] 5.606058e-05 3.171491e-05 2.802924e-05 3.761973e-05 3.739555e-05 #>  [6761,] 2.797665e-05 1.690986e-05 1.794691e-05 1.992008e-05 1.859843e-05 #>  [6762,] 1.449287e-04 1.053275e-04 1.990397e-04 3.272063e-04 3.476133e-04 #>  [6763,] 2.013516e-05 1.865940e-05 1.543325e-05 1.702238e-05 1.590750e-05 #>  [6764,] 1.184677e-05 1.290026e-05 1.264646e-05 1.492190e-05 1.409149e-05 #>  [6765,] 1.543198e-05 1.686084e-05 1.486413e-05 1.551128e-05 1.634706e-05 #>  [6766,] 1.343240e-05 1.348656e-05 1.740922e-05 1.810108e-05 1.581068e-05 #>  [6767,] 1.914345e-05 1.869212e-05 1.981468e-05 2.017534e-05 1.877053e-05 #>  [6768,] 1.483584e-05 2.188959e-05 1.825155e-05 3.105433e-05 4.848665e-05 #>  [6769,] 2.219931e-05 1.691107e-05 1.812244e-05 1.513204e-05 1.369664e-05 #>  [6770,] 1.141945e-05 1.034391e-05 1.143410e-05 1.429112e-05 1.519672e-05 #>  [6771,] 2.483319e-05 2.603375e-05 1.943467e-05 2.036245e-05 1.877793e-05 #>  [6772,] 1.641818e-05 1.707256e-05 1.967953e-05 2.184700e-05 2.592684e-05 #>  [6773,] 5.158350e-05 2.223956e-05 5.060605e-05 4.505516e-05 4.787838e-05 #>  [6774,] 5.857556e-04 7.142886e-04 1.095623e-03 1.147826e-03 1.103549e-03 #>  [6775,] 3.625381e-05 2.973569e-05 1.949703e-05 2.052112e-05 1.907059e-05 #>  [6776,] 1.579473e-05 1.788839e-05 1.386526e-05 1.541480e-05 1.440658e-05 #>  [6777,] 1.579995e-05 1.247598e-05 1.326923e-05 1.233526e-05 1.250680e-05 #>  [6778,] 2.821063e-05 2.789498e-05 2.109657e-05 2.013699e-05 2.125420e-05 #>  [6779,] 2.920527e-05 7.893442e-05 1.613959e-05 1.446448e-05 1.351940e-05 #>  [6780,] 3.377576e-05 2.613407e-05 2.008895e-05 2.453883e-05 3.271372e-05 #>  [6781,] 1.149922e-05 1.308363e-05 1.276748e-05 1.430146e-05 1.567214e-05 #>  [6782,] 1.297164e-05 1.417100e-05 1.915371e-05 2.116340e-05 2.231170e-05 #>  [6783,] 1.159666e-05 1.160202e-05 1.409920e-05 1.395836e-05 1.460978e-05 #>  [6784,] 1.493538e-05 1.343225e-05 1.590090e-05 1.502560e-05 1.613295e-05 #>  [6785,] 1.350550e-05 1.315919e-05 1.216450e-05 1.303417e-05 1.314197e-05 #>  [6786,] 1.375131e-05 1.357354e-05 1.515926e-05 1.678657e-05 1.425119e-05 #>  [6787,] 1.260814e-05 1.344064e-05 1.451896e-05 1.593552e-05 1.499219e-05 #>  [6788,] 1.415178e-05 1.572358e-05 1.727826e-05 1.738616e-05 1.733186e-05 #>  [6789,] 1.954652e-05 2.039954e-05 2.107156e-05 2.115202e-05 2.030860e-05 #>  [6790,] 1.137098e-05 1.063205e-05 1.096855e-05 1.125878e-05 1.084997e-05 #>  [6791,] 7.375376e-05 8.924851e-05 8.770573e-05 1.365077e-04 1.428626e-04 #>  [6792,] 6.395708e-05 4.150641e-05 3.963408e-05 4.956731e-05 6.116820e-05 #>  [6793,] 1.820529e-05 2.017388e-05 1.661793e-05 1.693484e-05 1.744569e-05 #>  [6794,] 2.076388e-05 2.964550e-05 9.939416e-05 9.190478e-05 9.213694e-05 #>  [6795,] 1.483507e-05 1.485741e-05 1.385376e-05 1.442258e-05 1.507504e-05 #>  [6796,] 1.261542e-05 1.393956e-05 1.475927e-05 1.626818e-05 1.564785e-05 #>  [6797,] 1.633919e-05 1.756440e-05 1.819485e-05 1.780784e-05 1.980469e-05 #>  [6798,] 1.403555e-05 1.468760e-05 1.463342e-05 1.479060e-05 1.494219e-05 #>  [6799,] 2.175265e-05 3.469554e-05 1.774063e-05 1.942495e-05 2.182628e-05 #>  [6800,] 1.257247e-05 1.176865e-05 1.170122e-05 1.241193e-05 1.372509e-05 #>  [6801,] 1.641991e-05 2.099663e-05 2.906558e-05 2.670286e-05 2.134069e-05 #>  [6802,] 1.645187e-04 1.717511e-04 1.009480e-04 3.218603e-05 1.117760e-04 #>  [6803,] 2.295904e-05 1.467681e-05 1.341676e-05 1.427979e-05 1.336411e-05 #>  [6804,] 1.581341e-05 2.226206e-05 3.404610e-05 2.772199e-05 2.822184e-05 #>  [6805,] 2.048571e-05 1.797251e-05 1.960909e-05 2.446779e-05 2.387794e-05 #>  [6806,] 1.203545e-05 1.257946e-05 1.343809e-05 1.460999e-05 1.590814e-05 #>  [6807,] 1.232733e-05 1.272951e-05 1.359307e-05 1.350483e-05 1.482310e-05 #>  [6808,] 1.533049e-05 1.813929e-05 1.819239e-05 1.605371e-05 1.697154e-05 #>  [6809,] 2.191422e-05 4.191435e-05 5.331642e-05 3.517281e-05 4.190297e-05 #>  [6810,] 2.311614e-04 2.411205e-04 2.014398e-04 2.404403e-04 2.577595e-04 #>  [6811,] 4.775112e-05 4.853761e-05 5.598594e-05 6.654981e-05 7.292119e-05 #>  [6812,] 2.747548e-05 3.039139e-05 1.815399e-05 1.784268e-05 1.846773e-05 #>  [6813,] 1.381121e-05 1.321664e-05 1.449872e-05 1.561535e-05 1.492823e-05 #>  [6814,] 1.163402e-05 1.361819e-05 1.194066e-05 1.140526e-05 1.135578e-05 #>  [6815,] 1.169979e-05 1.158374e-05 1.490475e-05 1.510847e-05 1.413741e-05 #>  [6816,] 1.239295e-05 1.159998e-05 1.252926e-05 1.485536e-05 1.498581e-05 #>  [6817,] 1.361612e-04 1.015802e-04 1.690357e-04 2.100527e-04 1.698497e-04 #>  [6818,] 2.595622e-04 1.308525e-04 5.337672e-05 4.590365e-05 4.888006e-05 #>  [6819,] 1.269395e-05 1.201625e-05 1.242966e-05 1.364236e-05 1.437044e-05 #>  [6820,] 1.908786e-05 1.977744e-05 2.768723e-05 2.937352e-05 3.014025e-05 #>  [6821,] 1.119600e-03 1.032792e-03 1.084809e-03 1.134754e-03 1.027683e-03 #>  [6822,] 2.968373e-05 3.784982e-05 3.060100e-05 3.117666e-05 2.469446e-05 #>  [6823,] 1.687465e-05 1.770936e-05 1.677664e-05 1.742060e-05 1.707883e-05 #>  [6824,] 5.247733e-05 3.566680e-05 3.666360e-05 5.801720e-05 7.878959e-05 #>  [6825,] 1.491875e-05 1.909454e-05 1.965899e-05 2.011021e-05 1.990531e-05 #>  [6826,] 2.186790e-05 2.161098e-05 2.140466e-05 2.389032e-05 2.253902e-05 #>  [6827,] 1.679760e-05 2.010596e-05 1.680921e-05 2.026648e-05 3.879383e-05 #>  [6828,] 1.341919e-05 1.282006e-05 1.368404e-05 1.532113e-05 1.533067e-05 #>  [6829,] 1.225834e-05 1.237792e-05 1.276159e-05 1.302332e-05 1.338677e-05 #>  [6830,] 1.318732e-05 1.419824e-05 1.291097e-05 1.352730e-05 1.277781e-05 #>  [6831,] 1.917947e-04 1.904135e-04 7.565723e-05 6.791855e-05 3.855681e-05 #>  [6832,] 1.463043e-05 1.339498e-05 1.325190e-05 1.340053e-05 1.437904e-05 #>  [6833,] 1.548722e-05 1.506784e-05 1.506713e-05 1.563627e-05 1.566706e-05 #>  [6834,] 6.070975e-05 5.525243e-05 4.276625e-05 5.233198e-05 5.846369e-05 #>  [6835,] 1.196051e-05 1.212562e-05 1.468957e-05 1.602125e-05 1.693235e-05 #>  [6836,] 1.110822e-05 1.076339e-05 1.205193e-05 1.326264e-05 1.437713e-05 #>  [6837,] 9.722024e-06 9.881992e-06 1.101589e-05 1.113452e-05 1.060294e-05 #>  [6838,] 1.216060e-05 1.281619e-05 1.354184e-05 1.604744e-05 1.965666e-05 #>  [6839,] 1.466508e-05 1.357674e-05 1.393343e-05 1.512827e-05 1.465476e-05 #>  [6840,] 1.230353e-05 1.200077e-05 1.234843e-05 1.434258e-05 1.372536e-05 #>  [6841,] 3.907989e-05 3.688842e-05 5.159883e-05 4.121996e-05 3.050938e-05 #>  [6842,] 1.247742e-05 1.244902e-05 1.201106e-05 1.544369e-05 1.666279e-05 #>  [6843,] 1.308362e-05 1.227996e-05 1.275766e-05 1.558389e-05 1.661265e-05 #>  [6844,] 1.506257e-05 1.441543e-05 1.373432e-05 1.467007e-05 1.540456e-05 #>  [6845,] 1.571350e-05 1.577163e-05 2.160499e-05 2.515541e-05 2.966905e-05 #>  [6846,] 1.546323e-05 1.937242e-05 2.088296e-05 1.795274e-05 2.072074e-05 #>  [6847,] 1.496822e-05 1.508731e-05 1.624883e-05 1.615694e-05 1.705965e-05 #>  [6848,] 1.222758e-05 1.311001e-05 1.216553e-05 1.228452e-05 1.279278e-05 #>  [6849,] 1.287228e-05 1.172045e-05 1.175327e-05 1.421935e-05 1.566642e-05 #>  [6850,] 1.366038e-05 1.408977e-05 1.406694e-05 1.540925e-05 1.602452e-05 #>  [6851,] 1.957850e-05 2.172126e-05 2.477656e-05 3.271966e-05 3.331835e-05 #>  [6852,] 1.491293e-05 1.541397e-05 1.526915e-05 1.683141e-05 1.811649e-05 #>  [6853,] 1.342657e-05 1.491175e-05 1.305884e-05 1.319467e-05 1.782892e-05 #>  [6854,] 1.684021e-05 1.867734e-05 1.753694e-05 1.834070e-05 1.863046e-05 #>  [6855,] 1.130132e-05 1.102651e-05 1.150509e-05 1.209979e-05 1.296800e-05 #>  [6856,] 1.198523e-05 1.097978e-05 1.219864e-05 1.378043e-05 1.405801e-05 #>  [6857,] 1.173401e-05 1.361323e-05 1.329266e-05 1.263543e-05 1.287188e-05 #>  [6858,] 1.134602e-05 1.128529e-05 1.152236e-05 1.271246e-05 1.276840e-05 #>  [6859,] 2.233876e-05 4.369568e-05 1.989926e-05 1.992886e-05 2.403946e-05 #>  [6860,] 1.420426e-05 1.389916e-05 1.424141e-05 1.388799e-05 1.475595e-05 #>  [6861,] 1.206264e-05 1.314507e-05 1.190144e-05 1.240541e-05 1.262097e-05 #>  [6862,] 1.237553e-05 1.196869e-05 1.212639e-05 1.361645e-05 1.426694e-05 #>  [6863,] 1.677514e-05 1.572910e-05 1.567474e-05 1.651560e-05 1.683530e-05 #>  [6864,] 1.237350e-05 1.168600e-05 1.195844e-05 1.262019e-05 1.330487e-05 #>  [6865,] 1.149827e-05 1.166003e-05 1.279597e-05 1.462408e-05 1.580161e-05 #>  [6866,] 1.196751e-05 1.237192e-05 1.380762e-05 1.361566e-05 1.533186e-05 #>  [6867,] 1.308381e-05 1.383485e-05 1.360647e-05 1.575897e-05 1.766127e-05 #>  [6868,] 1.289003e-05 1.509389e-05 1.309672e-05 1.308609e-05 1.525491e-05 #>  [6869,] 1.412051e-05 1.315161e-05 1.458035e-05 1.444709e-05 1.441286e-05 #>  [6870,] 1.516932e-05 1.411447e-05 1.448266e-05 1.550969e-05 1.526995e-05 #>  [6871,] 1.453522e-05 1.501367e-05 1.448842e-05 1.524211e-05 1.486243e-05 #>  [6872,] 1.175978e-05 1.027109e-05 1.185134e-05 1.103830e-05 1.190739e-05 #>  [6873,] 2.227109e-05 1.689639e-05 1.382737e-05 1.387596e-05 1.462012e-05 #>  [6874,] 1.162822e-05 1.183964e-05 1.273177e-05 1.449888e-05 1.467433e-05 #>  [6875,] 1.750280e-05 1.376424e-05 1.415285e-05 1.586298e-05 1.425268e-05 #>  [6876,] 1.199201e-05 1.274945e-05 1.431112e-05 1.431261e-05 1.495596e-05 #>  [6877,] 1.303728e-05 1.376255e-05 1.425352e-05 1.490453e-05 1.599598e-05 #>  [6878,] 1.225653e-05 1.218489e-05 1.174889e-05 1.105032e-05 1.182800e-05 #>  [6879,] 1.147823e-05 1.235947e-05 1.213612e-05 1.297472e-05 1.309461e-05 #>  [6880,] 1.237312e-05 1.218697e-05 1.258531e-05 1.460632e-05 1.575028e-05 #>  [6881,] 1.342047e-05 1.363337e-05 1.485335e-05 1.560721e-05 1.471884e-05 #>  [6882,] 2.110227e-05 3.064263e-05 2.142628e-05 2.776807e-05 2.809674e-05 #>  [6883,] 3.897319e-05 4.063967e-05 4.123911e-05 4.116949e-05 3.641046e-05 #>  [6884,] 1.539621e-05 1.371910e-05 1.485159e-05 1.573465e-05 1.599457e-05 #>  [6885,] 1.248335e-05 1.291190e-05 1.297914e-05 1.448209e-05 1.279625e-05 #>  [6886,] 1.197696e-05 1.290770e-05 1.180972e-05 1.192726e-05 1.366702e-05 #>  [6887,] 3.977557e-05 2.815288e-05 3.890980e-05 4.040452e-05 9.163734e-05 #>  [6888,] 1.348548e-05 1.229681e-05 1.221264e-05 1.354067e-05 1.351779e-05 #>  [6889,] 1.364107e-05 1.407947e-05 1.340432e-05 1.498982e-05 1.796215e-05 #>  [6890,] 5.900909e-05 6.308981e-05 4.007356e-05 2.849660e-05 3.563155e-05 #>  [6891,] 1.137986e-05 1.126145e-05 1.159368e-05 1.203959e-05 1.280024e-05 #>  [6892,] 1.552227e-05 1.683873e-05 2.820338e-05 3.116968e-05 2.706460e-05 #>  [6893,] 1.888999e-05 1.954445e-05 2.547447e-05 2.783582e-05 2.308898e-05 #>  [6894,] 1.427032e-05 1.275201e-05 1.365294e-05 1.512975e-05 1.521610e-05 #>  [6895,] 2.892649e-05 1.707332e-05 1.694072e-05 1.635861e-05 1.474674e-05 #>  [6896,] 1.247707e-05 1.227088e-05 1.275129e-05 1.371837e-05 1.286193e-05 #>  [6897,] 1.237072e-05 1.299417e-05 1.240387e-05 1.292687e-05 1.349715e-05 #>  [6898,] 2.964602e-05 3.349277e-05 4.557406e-05 4.766398e-05 4.277682e-05 #>  [6899,] 1.345851e-05 1.401448e-05 1.482826e-05 1.502454e-05 1.534848e-05 #>  [6900,] 3.056932e-05 3.403498e-05 2.651667e-05 2.930462e-05 2.320156e-05 #>  [6901,] 2.349059e-05 5.048856e-05 1.221273e-04 8.839440e-05 4.450659e-05 #>  [6902,] 1.347154e-05 1.416585e-05 2.165154e-05 3.365542e-05 5.482673e-05 #>  [6903,] 1.345630e-05 1.344178e-05 1.408456e-05 1.421978e-05 1.467894e-05 #>  [6904,] 1.379371e-05 1.268326e-05 1.257639e-05 1.503975e-05 1.406253e-05 #>  [6905,] 1.234465e-05 1.235873e-05 1.190074e-05 1.228127e-05 1.227502e-05 #>  [6906,] 1.246107e-05 1.191679e-05 1.199267e-05 1.390290e-05 1.502983e-05 #>  [6907,] 1.816611e-05 1.534394e-05 1.769073e-05 2.025490e-05 2.556606e-05 #>  [6908,] 1.184146e-05 1.235713e-05 1.374303e-05 1.361845e-05 1.345874e-05 #>  [6909,] 1.047855e-05 1.021679e-05 1.097297e-05 1.141051e-05 1.095264e-05 #>  [6910,] 1.219307e-05 1.225564e-05 1.276716e-05 1.341953e-05 1.315573e-05 #>  [6911,] 2.502109e-05 1.726005e-05 1.882375e-05 2.172710e-05 2.381500e-05 #>  [6912,] 1.341541e-05 1.531463e-05 1.937827e-05 1.842087e-05 1.861244e-05 #>  [6913,] 5.326614e-04 4.174808e-04 2.308786e-04 3.274189e-04 2.531577e-04 #>  [6914,] 6.845033e-05 1.040486e-04 3.626996e-05 3.108190e-05 2.576158e-05 #>  [6915,] 6.081897e-05 5.223183e-05 3.516365e-05 3.786518e-05 3.618865e-05 #>  [6916,] 1.988190e-05 2.248712e-05 2.576026e-05 2.804988e-05 2.364356e-05 #>  [6917,] 1.464252e-05 1.902532e-05 2.765070e-05 3.036970e-05 2.515620e-05 #>  [6918,] 1.816324e-05 1.490869e-05 1.694829e-05 1.624738e-05 1.512137e-05 #>  [6919,] 1.270362e-05 1.369380e-05 1.444133e-05 1.523078e-05 1.617345e-05 #>  [6920,] 2.349711e-04 2.367300e-04 2.264209e-04 1.993582e-04 1.954498e-04 #>  [6921,] 1.781012e-05 1.972569e-05 2.180764e-05 2.516212e-05 2.670612e-05 #>  [6922,] 1.559732e-05 1.483620e-05 1.248036e-05 1.436502e-05 1.451950e-05 #>  [6923,] 1.424933e-05 1.503283e-05 1.649849e-05 1.687710e-05 1.554013e-05 #>  [6924,] 5.821112e-05 4.586234e-05 4.091873e-05 5.284381e-05 4.883081e-05 #>  [6925,] 1.261111e-05 1.343281e-05 1.469276e-05 1.493790e-05 1.454082e-05 #>  [6926,] 1.344292e-05 1.489270e-05 2.274927e-05 2.218138e-05 2.191051e-05 #>  [6927,] 1.056278e-05 1.075024e-05 1.091995e-05 1.160974e-05 1.210537e-05 #>  [6928,] 1.173111e-05 1.145979e-05 1.183113e-05 1.259902e-05 1.419865e-05 #>  [6929,] 1.541184e-05 1.325993e-05 1.461015e-05 1.529061e-05 1.845922e-05 #>  [6930,] 1.133263e-05 1.093865e-05 1.061170e-05 1.093070e-05 1.156528e-05 #>  [6931,] 1.327300e-05 1.239550e-05 1.359594e-05 1.835329e-05 1.590381e-05 #>  [6932,] 1.660209e-05 2.059950e-05 2.607287e-05 2.679857e-05 2.404739e-05 #>  [6933,] 2.987730e-05 4.944521e-05 1.885133e-04 2.325373e-04 1.972840e-04 #>  [6934,] 8.907277e-05 5.265596e-05 2.339799e-05 2.506010e-05 2.656511e-05 #>  [6935,] 1.699241e-05 1.625515e-05 1.741629e-05 1.687945e-05 2.227606e-05 #>  [6936,] 1.171935e-05 1.194154e-05 1.290537e-05 1.312619e-05 1.257638e-05 #>  [6937,] 6.390570e-04 8.325189e-04 9.614139e-04 1.118479e-03 1.177517e-03 #>  [6938,] 2.374393e-05 3.287032e-05 7.317159e-05 8.810785e-05 8.873199e-05 #>  [6939,] 1.317308e-05 1.300568e-05 1.456606e-05 1.543741e-05 1.392164e-05 #>  [6940,] 3.146906e-05 4.656244e-05 1.089566e-04 9.526423e-05 7.432455e-05 #>  [6941,] 9.569843e-05 1.449898e-04 2.747961e-04 3.221712e-04 5.872245e-04 #>  [6942,] 1.189462e-05 1.243998e-05 1.209843e-05 1.312295e-05 1.397837e-05 #>  [6943,] 1.589468e-05 1.721801e-05 1.468574e-05 1.615276e-05 1.735759e-05 #>  [6944,] 1.553604e-05 1.705432e-05 2.158908e-05 2.345485e-05 2.294054e-05 #>  [6945,] 1.227658e-05 1.192461e-05 1.224052e-05 1.231866e-05 1.185022e-05 #>  [6946,] 4.781168e-05 5.833147e-05 7.909161e-05 9.068660e-05 1.253119e-04 #>  [6947,] 4.883192e-05 5.139229e-05 5.141483e-05 5.169027e-05 4.904817e-05 #>  [6948,] 1.495845e-05 1.490877e-05 1.635302e-05 1.929919e-05 1.754444e-05 #>  [6949,] 1.045825e-05 1.014472e-05 1.094686e-05 1.099193e-05 1.094290e-05 #>  [6950,] 1.188699e-05 1.244461e-05 1.568379e-05 1.774913e-05 1.861630e-05 #>  [6951,] 1.227532e-05 1.172049e-05 1.302464e-05 1.506371e-05 1.573547e-05 #>  [6952,] 1.645390e-05 1.721873e-05 1.878865e-05 1.703689e-05 1.696367e-05 #>  [6953,] 2.388880e-05 2.746508e-05 3.245952e-05 3.159207e-05 3.991821e-05 #>  [6954,] 7.748737e-04 7.177069e-04 8.567741e-04 1.025013e-03 9.770215e-04 #>  [6955,] 1.050213e-04 1.211109e-04 2.631982e-04 1.898844e-04 1.554753e-04 #>  [6956,] 1.083256e-05 1.079084e-05 1.046844e-05 1.138897e-05 1.133791e-05 #>  [6957,] 3.655626e-04 2.404201e-04 2.750915e-04 1.788878e-04 1.457061e-04 #>  [6958,] 4.601213e-05 5.272322e-05 2.219821e-05 2.760823e-05 2.982468e-05 #>  [6959,] 3.011102e-04 3.860957e-04 3.552492e-04 4.205983e-04 3.406172e-04 #>  [6960,] 1.047895e-05 1.102257e-05 1.339649e-05 1.254795e-05 1.232965e-05 #>  [6961,] 1.060000e-05 1.043958e-05 1.150307e-05 1.184528e-05 1.195322e-05 #>  [6962,] 1.161712e-05 1.172432e-05 1.258188e-05 1.407682e-05 1.621993e-05 #>  [6963,] 1.271780e-05 1.398641e-05 2.406047e-05 2.883386e-05 4.023819e-05 #>  [6964,] 1.693002e-05 1.649145e-05 1.818393e-05 1.695316e-05 1.754705e-05 #>  [6965,] 1.204267e-05 1.309921e-05 1.306494e-05 1.409863e-05 1.512892e-05 #>  [6966,] 3.144728e-05 2.453523e-05 1.908770e-05 2.372672e-05 2.541744e-05 #>  [6967,] 1.193878e-05 1.105745e-05 1.047121e-05 1.122870e-05 1.096520e-05 #>  [6968,] 1.065091e-05 1.115466e-05 1.218497e-05 1.188066e-05 1.217214e-05 #>  [6969,] 1.238432e-05 1.283134e-05 1.467512e-05 1.514773e-05 1.471796e-05 #>  [6970,] 1.204831e-05 1.122644e-05 1.126802e-05 1.145229e-05 1.111566e-05 #>  [6971,] 1.261410e-05 1.602866e-05 3.296772e-05 2.651162e-05 1.382017e-05 #>  [6972,] 7.198655e-04 2.297460e-04 1.275357e-04 1.128787e-04 1.354350e-04 #>  [6973,] 1.252167e-05 1.221313e-05 1.417751e-05 1.506277e-05 1.615583e-05 #>  [6974,] 1.569247e-05 1.598268e-05 1.666257e-05 1.681727e-05 1.808141e-05 #>  [6975,] 1.576452e-05 1.521156e-05 1.448752e-05 1.599149e-05 1.674344e-05 #>  [6976,] 1.218713e-05 1.211306e-05 1.203247e-05 1.416215e-05 1.568203e-05 #>  [6977,] 1.266374e-05 1.312185e-05 1.381952e-05 1.394781e-05 1.394192e-05 #>  [6978,] 2.758882e-04 2.353939e-04 3.229197e-04 3.104363e-04 5.665575e-04 #>  [6979,] 1.352812e-05 1.525971e-05 1.498845e-05 1.414199e-05 1.597865e-05 #>  [6980,] 1.748158e-05 1.827246e-05 1.588784e-05 1.641667e-05 1.754331e-05 #>  [6981,] 3.453235e-05 3.798042e-05 4.285632e-05 5.365446e-05 3.567076e-05 #>  [6982,] 1.860059e-05 1.423268e-05 1.321251e-05 1.576173e-05 1.551848e-05 #>  [6983,] 1.460531e-05 1.457971e-05 1.407274e-05 1.467010e-05 1.401801e-05 #>  [6984,] 1.408087e-05 1.277363e-05 1.342453e-05 1.489222e-05 1.488909e-05 #>  [6985,] 1.618826e-05 2.097292e-05 1.634578e-05 1.739261e-05 1.695219e-05 #>  [6986,] 1.619040e-05 1.492865e-05 1.594174e-05 1.743989e-05 1.867462e-05 #>  [6987,] 1.934867e-05 2.130568e-05 1.527031e-05 1.528589e-05 1.704614e-05 #>  [6988,] 9.544397e-05 1.762554e-04 3.501917e-05 1.021540e-04 1.313395e-04 #>  [6989,] 2.151179e-04 1.366687e-04 5.646483e-05 9.027544e-05 1.135003e-04 #>  [6990,] 1.426749e-05 1.460463e-05 2.163484e-05 2.455738e-05 1.961848e-05 #>  [6991,] 1.405103e-05 1.414167e-05 1.464830e-05 1.561451e-05 1.639683e-05 #>  [6992,] 1.487732e-05 1.401261e-05 1.561489e-05 1.603732e-05 1.555512e-05 #>  [6993,] 1.300025e-05 1.415954e-05 1.277774e-05 1.157039e-05 1.124816e-05 #>  [6994,] 1.541532e-05 1.907719e-05 2.106969e-05 1.550794e-05 1.375185e-05 #>  [6995,] 1.496189e-05 1.492118e-05 1.442157e-05 1.573942e-05 1.595274e-05 #>  [6996,] 1.437381e-05 1.306585e-05 1.557681e-05 1.611561e-05 1.537463e-05 #>  [6997,] 1.760492e-05 2.063385e-05 2.354353e-05 2.302033e-05 2.243954e-05 #>  [6998,] 1.118729e-05 1.126668e-05 1.180196e-05 1.303823e-05 1.290753e-05 #>  [6999,] 7.769684e-05 1.562162e-05 2.494078e-05 1.333346e-05 2.352222e-05 #>  [7000,] 1.036829e-05 1.053762e-05 1.149442e-05 1.222292e-05 1.259990e-05 #>  [7001,] 1.331480e-05 1.379860e-05 1.406665e-05 1.435079e-05 1.499275e-05 #>  [7002,] 1.441487e-05 1.559667e-05 1.633493e-05 1.960583e-05 2.356483e-05 #>  [7003,] 3.034616e-05 2.776775e-05 6.503991e-05 8.824075e-05 7.688265e-05 #>  [7004,] 4.390043e-04 3.580886e-04 5.333311e-04 5.879956e-04 4.873633e-04 #>  [7005,] 1.509258e-04 1.401776e-04 1.064052e-04 1.101955e-04 1.276813e-04 #>  [7006,] 1.646752e-05 1.697045e-05 1.509351e-05 1.514743e-05 1.565137e-05 #>  [7007,] 2.231246e-05 2.705009e-05 5.986937e-05 6.849495e-05 9.293653e-05 #>  [7008,] 6.070441e-04 5.364349e-04 6.999348e-04 8.173268e-04 7.240057e-04 #>  [7009,] 2.379344e-05 2.247383e-05 2.138910e-05 2.042246e-05 1.943168e-05 #>  [7010,] 2.380220e-05 1.235436e-05 1.345778e-05 1.383241e-05 1.374216e-05 #>  [7011,] 1.167566e-05 1.159772e-05 1.234223e-05 1.258693e-05 1.353076e-05 #>  [7012,] 1.207538e-05 1.232136e-05 1.263813e-05 1.432427e-05 1.509426e-05 #>  [7013,] 1.433347e-05 1.417605e-05 1.399943e-05 1.517160e-05 1.742015e-05 #>  [7014,] 1.245900e-05 1.396484e-05 1.500477e-05 1.474561e-05 1.569426e-05 #>  [7015,] 1.715051e-05 1.481592e-05 1.515098e-05 1.606193e-05 1.492374e-05 #>  [7016,] 1.252273e-05 1.312516e-05 1.323054e-05 1.378550e-05 1.333658e-05 #>  [7017,] 2.670148e-05 1.940945e-05 1.836051e-05 1.988942e-05 2.534718e-05 #>  [7018,] 1.374629e-05 1.438930e-05 1.345833e-05 1.354156e-05 1.390589e-05 #>  [7019,] 1.190706e-05 1.419053e-05 1.542065e-05 1.429885e-05 1.541557e-05 #>  [7020,] 1.243269e-05 1.344077e-05 1.501868e-05 1.523670e-05 1.564210e-05 #>  [7021,] 1.215219e-05 1.246394e-05 1.297245e-05 1.352837e-05 1.337904e-05 #>  [7022,] 4.867465e-05 2.702897e-05 2.067519e-05 2.011974e-05 1.814647e-05 #>  [7023,] 1.294431e-05 1.393485e-05 1.296304e-05 1.502532e-05 1.480974e-05 #>  [7024,] 9.592396e-05 1.396974e-04 1.540496e-04 1.522006e-04 1.273635e-04 #>  [7025,] 2.594220e-04 2.808555e-04 3.415896e-04 3.633655e-04 5.242601e-04 #>  [7026,] 1.525841e-05 1.566201e-05 1.810152e-05 1.905426e-05 1.902456e-05 #>  [7027,] 1.361081e-05 1.468905e-05 1.650742e-05 1.724221e-05 1.706127e-05 #>  [7028,] 1.078381e-05 1.199533e-05 1.226607e-05 1.154533e-05 1.223211e-05 #>  [7029,] 5.507750e-04 5.432045e-04 7.579718e-04 6.988574e-04 3.275756e-04 #>  [7030,] 9.480090e-04 7.933711e-04 1.112159e-03 1.022522e-03 8.063485e-04 #>  [7031,] 1.617949e-05 1.508476e-05 1.480907e-05 1.475658e-05 1.456090e-05 #>  [7032,] 1.671338e-05 1.852118e-05 4.276858e-05 2.941007e-05 1.569373e-05 #>  [7033,] 1.297129e-05 1.406585e-05 1.723629e-05 1.824499e-05 2.256094e-05 #>  [7034,] 1.260006e-05 1.198491e-05 1.265999e-05 1.438883e-05 1.599920e-05 #>  [7035,] 1.441626e-05 1.301429e-05 1.506374e-05 1.706784e-05 1.529958e-05 #>  [7036,] 1.457551e-05 1.402043e-05 1.330238e-05 1.422734e-05 1.353907e-05 #>  [7037,] 1.216752e-05 1.291107e-05 1.432581e-05 1.383071e-05 1.306883e-05 #>  [7038,] 1.417594e-05 1.469335e-05 1.491934e-05 1.737888e-05 1.564617e-05 #>  [7039,] 2.890182e-05 3.352914e-05 7.882134e-05 8.130256e-05 7.074147e-05 #>  [7040,] 3.966653e-05 6.626796e-05 3.403518e-05 3.447655e-05 3.828126e-05 #>  [7041,] 1.906812e-05 2.904984e-05 2.655606e-05 2.778850e-05 4.214629e-05 #>  [7042,] 1.141440e-05 1.047638e-05 1.182513e-05 1.226688e-05 1.317137e-05 #>  [7043,] 1.049857e-05 1.037169e-05 1.168096e-05 1.181149e-05 1.077552e-05 #>  [7044,] 4.975924e-05 1.260373e-04 4.612900e-04 3.300588e-04 6.085004e-04 #>  [7045,] 1.437983e-05 1.483912e-05 1.565681e-05 1.554530e-05 1.632788e-05 #>  [7046,] 1.408537e-05 1.367474e-05 1.568763e-05 1.620683e-05 1.497760e-05 #>  [7047,] 2.781672e-05 5.589526e-05 2.473428e-04 1.893501e-04 1.307929e-04 #>  [7048,] 4.238690e-05 3.001034e-05 2.468891e-05 2.288480e-05 1.836705e-05 #>  [7049,] 1.468420e-05 1.277419e-05 1.245770e-05 1.203846e-05 1.304996e-05 #>  [7050,] 3.447328e-05 4.581783e-05 3.043027e-05 2.449005e-05 3.092454e-05 #>  [7051,] 1.433240e-05 1.399357e-05 1.476723e-05 1.640762e-05 1.488612e-05 #>  [7052,] 1.463775e-05 1.554412e-05 1.657045e-05 1.708635e-05 1.634376e-05 #>  [7053,] 3.228050e-04 3.263529e-04 3.013213e-04 2.446854e-04 1.975889e-04 #>  [7054,] 1.362996e-05 1.216008e-05 1.387858e-05 1.407615e-05 1.376980e-05 #>  [7055,] 1.221142e-05 1.170296e-05 1.371119e-05 1.489596e-05 1.354788e-05 #>  [7056,] 2.278785e-05 2.203575e-05 1.813199e-05 2.232977e-05 2.824451e-05 #>  [7057,] 1.067448e-05 1.143037e-05 1.135918e-05 1.090492e-05 1.106555e-05 #>  [7058,] 1.108199e-05 1.030147e-05 1.074234e-05 1.126025e-05 1.178069e-05 #>  [7059,] 7.813565e-05 5.600575e-05 5.460480e-05 8.845590e-05 9.332535e-05 #>  [7060,] 1.259258e-05 1.209582e-05 1.334735e-05 1.454152e-05 1.658000e-05 #>  [7061,] 9.121892e-05 7.912855e-05 1.236014e-04 9.460882e-05 8.862642e-05 #>  [7062,] 7.788789e-05 6.538521e-05 5.277592e-05 6.372290e-05 4.401851e-05 #>  [7063,] 7.450241e-05 7.678495e-05 6.822518e-05 8.448351e-05 7.658013e-05 #>  [7064,] 1.180500e-05 1.116467e-05 1.101169e-05 1.131655e-05 1.159659e-05 #>  [7065,] 1.326750e-05 1.331660e-05 1.312118e-05 1.226786e-05 1.559380e-05 #>  [7066,] 1.131484e-05 1.484993e-05 1.834315e-05 1.489556e-05 1.398848e-05 #>  [7067,] 1.275485e-05 1.465914e-05 1.330693e-05 1.356207e-05 1.388697e-05 #>  [7068,] 1.840572e-05 1.689882e-05 1.599559e-05 1.991669e-05 2.535833e-05 #>  [7069,] 1.244379e-05 1.252360e-05 1.298605e-05 1.413663e-05 1.379985e-05 #>  [7070,] 1.472156e-05 1.529039e-05 1.449056e-05 1.589756e-05 1.454488e-05 #>  [7071,] 4.362847e-05 6.015245e-05 2.084818e-05 1.871805e-05 1.549874e-05 #>  [7072,] 1.480011e-05 1.650550e-05 1.774734e-05 1.767415e-05 1.699792e-05 #>  [7073,] 2.145607e-05 1.647881e-05 1.492899e-05 1.489183e-05 2.107302e-05 #>  [7074,] 1.240409e-05 1.262580e-05 1.263997e-05 1.314524e-05 1.340637e-05 #>  [7075,] 3.934431e-05 6.261966e-05 7.278294e-05 1.071130e-04 1.185865e-04 #>  [7076,] 2.508611e-05 4.345874e-05 6.450366e-05 6.214764e-05 6.073316e-05 #>  [7077,] 1.410946e-05 1.191668e-05 1.352462e-05 1.450838e-05 1.486732e-05 #>  [7078,] 7.238441e-05 5.035163e-05 1.879944e-05 1.820770e-05 1.583020e-05 #>  [7079,] 1.254055e-05 1.276182e-05 1.328338e-05 1.340144e-05 1.530406e-05 #>  [7080,] 2.166186e-05 2.070474e-05 1.767981e-05 1.922086e-05 2.001793e-05 #>  [7081,] 1.267732e-04 1.619301e-04 6.947504e-05 8.931020e-05 9.091894e-05 #>  [7082,] 1.747566e-05 1.334340e-05 1.346677e-05 1.326741e-05 1.309226e-05 #>  [7083,] 1.743577e-05 1.697117e-05 2.488596e-05 2.819052e-05 3.255687e-05 #>  [7084,] 1.413733e-05 1.648843e-05 1.774496e-05 1.720705e-05 1.678539e-05 #>  [7085,] 3.113840e-05 4.222837e-05 2.613228e-05 2.207977e-05 3.094785e-05 #>  [7086,] 1.212516e-05 1.256011e-05 1.368031e-05 1.365403e-05 1.597450e-05 #>  [7087,] 1.201253e-05 1.222534e-05 1.374908e-05 1.555715e-05 1.563748e-05 #>  [7088,] 1.446267e-05 1.602269e-05 1.461328e-05 1.422530e-05 1.603898e-05 #>  [7089,] 1.097900e-05 1.134104e-05 1.335809e-05 1.150376e-05 1.292466e-05 #>  [7090,] 1.565245e-05 1.473015e-05 1.646975e-05 1.865491e-05 2.728722e-05 #>  [7091,] 1.189640e-05 1.199149e-05 1.345455e-05 1.361709e-05 1.482334e-05 #>  [7092,] 1.258079e-05 1.455179e-05 1.421902e-05 1.346324e-05 1.591237e-05 #>  [7093,] 1.368637e-05 1.524433e-05 1.938021e-05 2.020168e-05 1.832731e-05 #>  [7094,] 1.476396e-05 1.423540e-05 1.415486e-05 1.612115e-05 1.594705e-05 #>  [7095,] 7.742884e-05 4.106022e-05 1.129745e-04 2.595805e-05 1.408540e-05 #>  [7096,] 1.354146e-05 1.314292e-05 1.308351e-05 1.510152e-05 1.540288e-05 #>  [7097,] 1.014362e-05 1.008010e-05 1.113033e-05 1.068261e-05 1.103135e-05 #>  [7098,] 1.611487e-05 1.716754e-05 1.555833e-05 1.794230e-05 1.925246e-05 #>  [7099,] 1.218530e-05 1.246436e-05 1.386609e-05 1.437738e-05 1.538009e-05 #>  [7100,] 1.538544e-05 1.601192e-05 2.130901e-05 2.121682e-05 2.150471e-05 #>  [7101,] 3.224468e-05 4.642428e-05 2.281710e-05 2.468099e-05 3.001156e-05 #>  [7102,] 1.193894e-05 1.205945e-05 1.236524e-05 1.422904e-05 1.572310e-05 #>  [7103,] 1.698739e-05 1.997056e-05 2.362595e-05 2.455067e-05 2.184309e-05 #>  [7104,] 3.756451e-05 3.241766e-05 1.640533e-05 1.832231e-05 2.128332e-05 #>  [7105,] 1.366956e-05 1.281311e-05 1.301613e-05 1.512835e-05 1.526091e-05 #>  [7106,] 1.436906e-05 1.754738e-05 1.669543e-05 1.655848e-05 1.610685e-05 #>  [7107,] 2.668506e-05 2.226640e-05 3.614863e-05 4.243605e-05 4.375398e-05 #>  [7108,] 2.496015e-05 2.251148e-05 2.195992e-05 2.237315e-05 2.139670e-05 #>  [7109,] 5.845345e-05 3.966315e-05 2.279360e-05 2.140021e-05 1.805764e-05 #>  [7110,] 3.534571e-05 3.536854e-05 2.185596e-05 2.246147e-05 2.305982e-05 #>  [7111,] 1.184183e-05 1.246423e-05 1.155348e-05 1.149027e-05 1.417970e-05 #>  [7112,] 1.652639e-05 1.709960e-05 2.471535e-05 2.754902e-05 2.995665e-05 #>  [7113,] 1.503241e-05 1.486630e-05 1.464697e-05 1.527908e-05 1.577160e-05 #>  [7114,] 6.954196e-05 6.923780e-05 8.302513e-05 1.167721e-04 8.973971e-05 #>  [7115,] 1.390057e-05 2.170667e-05 2.096049e-05 1.821380e-05 2.027417e-05 #>  [7116,] 1.305385e-05 1.276084e-05 1.396824e-05 1.641451e-05 1.904787e-05 #>  [7117,] 1.343686e-05 1.433660e-05 1.341844e-05 1.499818e-05 1.629452e-05 #>  [7118,] 1.267961e-05 1.470694e-05 1.308789e-05 1.653902e-05 2.432697e-05 #>  [7119,] 1.291084e-05 1.367337e-05 1.414714e-05 1.429021e-05 1.460109e-05 #>  [7120,] 7.574139e-05 9.557199e-05 3.489538e-05 2.640532e-05 2.638973e-05 #>  [7121,] 2.406543e-05 3.130044e-05 2.643469e-05 2.806639e-05 2.125260e-05 #>  [7122,] 5.009970e-05 6.838894e-05 1.255652e-04 1.258791e-04 1.041928e-04 #>  [7123,] 2.270518e-05 1.780180e-05 2.770354e-05 2.857292e-05 2.668542e-05 #>  [7124,] 1.623604e-05 1.673181e-05 3.646148e-05 4.318073e-05 3.448425e-05 #>  [7125,] 1.838898e-05 1.580850e-05 1.691917e-05 1.654235e-05 1.698283e-05 #>  [7126,] 1.335396e-05 1.283914e-05 1.367262e-05 1.332890e-05 1.432283e-05 #>  [7127,] 1.635266e-05 2.352046e-05 1.424938e-05 1.504759e-05 1.464668e-05 #>  [7128,] 3.416751e-05 3.005816e-05 4.548843e-05 4.346490e-05 4.896607e-05 #>  [7129,] 1.092736e-05 1.051099e-05 1.076200e-05 1.101149e-05 1.132214e-05 #>  [7130,] 1.291126e-05 1.173627e-05 1.406986e-05 1.431074e-05 1.399248e-05 #>  [7131,] 3.835855e-05 4.622585e-05 4.741679e-05 6.504758e-05 5.208822e-05 #>  [7132,] 1.373397e-05 1.423828e-05 1.467931e-05 1.623326e-05 1.782089e-05 #>  [7133,] 1.832471e-05 3.529711e-05 5.312596e-05 8.821904e-05 1.681250e-04 #>  [7134,] 1.581230e-05 1.372254e-05 2.420899e-05 2.268754e-05 2.132796e-05 #>  [7135,] 1.133114e-05 1.164537e-05 1.317858e-05 1.388483e-05 1.506528e-05 #>  [7136,] 1.756674e-04 1.169309e-04 5.426529e-05 7.111963e-05 1.015415e-04 #>  [7137,] 3.896643e-05 2.640041e-05 3.095148e-05 3.042916e-05 2.359652e-05 #>  [7138,] 2.591175e-05 3.231021e-05 3.119634e-05 4.497202e-05 3.856155e-05 #>  [7139,] 1.611646e-05 1.459459e-05 1.610675e-05 1.730961e-05 1.971126e-05 #>  [7140,] 2.690170e-05 1.593709e-05 1.404771e-05 1.402583e-05 1.500533e-05 #>  [7141,] 1.335243e-05 1.280740e-05 1.395456e-05 1.488181e-05 1.408948e-05 #>  [7142,] 1.716867e-05 1.684455e-05 1.687105e-05 1.751828e-05 1.739213e-05 #>  [7143,] 1.374973e-05 1.344560e-05 1.505834e-05 1.505266e-05 1.334133e-05 #>  [7144,] 1.240213e-05 1.187760e-05 1.162964e-05 1.345120e-05 1.415784e-05 #>  [7145,] 1.350709e-05 1.321537e-05 1.430528e-05 1.372812e-05 1.446830e-05 #>  [7146,] 1.320091e-05 1.342722e-05 1.469484e-05 1.566164e-05 1.414520e-05 #>  [7147,] 2.119368e-05 2.493806e-05 1.530690e-05 1.413872e-05 1.633841e-05 #>  [7148,] 1.420595e-05 1.568593e-05 1.735153e-05 2.706093e-05 3.177082e-05 #>  [7149,] 1.071623e-05 9.843639e-06 1.074750e-05 1.044807e-05 1.158956e-05 #>  [7150,] 1.471217e-05 1.411931e-05 2.326841e-05 2.688101e-05 2.765786e-05 #>  [7151,] 4.953019e-05 3.988468e-05 3.297869e-05 3.816955e-05 4.154954e-05 #>  [7152,] 1.183440e-05 1.216169e-05 1.230740e-05 1.171286e-05 1.262783e-05 #>  [7153,] 1.906463e-05 1.912271e-05 1.869690e-05 2.013068e-05 2.166388e-05 #>  [7154,] 1.351870e-05 1.550023e-05 2.871318e-05 2.553987e-05 2.240657e-05 #>  [7155,] 5.782437e-05 1.889693e-04 1.023849e-04 1.143125e-04 8.040878e-05 #>  [7156,] 1.334273e-05 1.365621e-05 1.365338e-05 1.389001e-05 1.348367e-05 #>  [7157,] 7.693645e-05 7.522389e-05 4.304530e-05 4.812478e-05 4.398180e-05 #>  [7158,] 1.191021e-05 1.287667e-05 1.259386e-05 1.328393e-05 1.318143e-05 #>  [7159,] 1.238557e-05 1.331471e-05 1.525343e-05 1.513573e-05 1.494980e-05 #>  [7160,] 1.158034e-05 1.314478e-05 1.409420e-05 1.318008e-05 1.426509e-05 #>  [7161,] 1.249122e-05 1.203286e-05 1.187026e-05 1.453246e-05 1.434050e-05 #>  [7162,] 1.286804e-05 1.306714e-05 1.196780e-05 1.177773e-05 1.216180e-05 #>  [7163,] 1.381416e-05 1.434918e-05 1.315862e-05 1.370326e-05 1.353514e-05 #>  [7164,] 1.760716e-05 1.836139e-05 3.101237e-05 3.136381e-05 2.458295e-05 #>  [7165,] 1.274145e-05 1.259520e-05 1.330664e-05 1.213285e-05 1.248836e-05 #>  [7166,] 3.147014e-05 2.792461e-05 2.693456e-05 3.364073e-05 4.178235e-05 #>  [7167,] 1.285198e-05 1.411561e-05 1.563384e-05 1.498575e-05 1.565705e-05 #>  [7168,] 1.204742e-05 1.318671e-05 1.438571e-05 1.339934e-05 1.521018e-05 #>  [7169,] 1.449186e-05 1.747674e-05 1.561620e-05 1.483699e-05 1.636171e-05 #>  [7170,] 1.842318e-05 1.991845e-05 2.644234e-05 3.619658e-05 3.396261e-05 #>  [7171,] 1.457013e-05 1.700844e-05 1.925491e-05 1.897097e-05 1.673901e-05 #>  [7172,] 1.285747e-05 1.514604e-05 1.732040e-05 1.806285e-05 3.437592e-05 #>  [7173,] 4.830816e-05 3.605234e-05 1.776274e-05 1.655924e-05 1.500116e-05 #>  [7174,] 1.568459e-04 1.796394e-04 1.390512e-04 1.519929e-04 1.451992e-04 #>  [7175,] 1.227148e-05 1.203417e-05 1.431411e-05 1.455210e-05 1.493416e-05 #>  [7176,] 1.226082e-05 1.303976e-05 1.285949e-05 1.411368e-05 1.357959e-05 #>  [7177,] 1.433248e-05 1.530363e-05 1.598375e-05 1.781584e-05 1.935533e-05 #>  [7178,] 2.544348e-04 2.455668e-04 2.176263e-04 2.695159e-04 1.615608e-04 #>  [7179,] 1.452921e-05 1.412861e-05 1.439150e-05 1.667922e-05 1.522020e-05 #>  [7180,] 1.375831e-05 1.610636e-05 1.704019e-05 2.147805e-05 3.291247e-05 #>  [7181,] 1.170523e-05 1.201644e-05 1.252546e-05 1.439797e-05 1.515604e-05 #>  [7182,] 1.258714e-05 1.305045e-05 1.381471e-05 1.355831e-05 1.478842e-05 #>  [7183,] 1.368620e-05 1.357650e-05 1.502369e-05 1.609323e-05 1.436850e-05 #>  [7184,] 2.858629e-05 1.662609e-05 1.705681e-05 1.959718e-05 2.133044e-05 #>  [7185,] 1.601658e-05 1.190354e-05 1.309098e-05 1.342346e-05 1.433851e-05 #>  [7186,] 3.521279e-05 1.422863e-05 1.423980e-05 1.325054e-05 1.457459e-05 #>  [7187,] 1.271246e-05 1.199382e-05 1.222862e-05 1.233365e-05 1.253403e-05 #>  [7188,] 1.314677e-05 1.356670e-05 1.337722e-05 1.358809e-05 1.375866e-05 #>  [7189,] 4.945031e-05 8.276653e-05 1.808250e-04 1.436970e-04 7.402381e-05 #>  [7190,] 1.384862e-05 1.258118e-05 1.254902e-05 1.374321e-05 1.534659e-05 #>  [7191,] 2.254963e-05 2.316012e-05 1.955109e-05 2.003161e-05 2.275157e-05 #>  [7192,] 1.139285e-05 1.007980e-05 1.157092e-05 1.115689e-05 1.145441e-05 #>  [7193,] 1.214679e-05 1.259619e-05 1.365930e-05 1.393906e-05 1.466955e-05 #>  [7194,] 6.890417e-04 7.447226e-04 8.239354e-04 6.818135e-04 5.364415e-04 #>  [7195,] 1.382552e-05 1.571638e-05 1.718981e-05 1.800781e-05 1.641183e-05 #>  [7196,] 1.291859e-05 1.310259e-05 1.332118e-05 1.303951e-05 1.326338e-05 #>  [7197,] 1.138783e-05 1.404824e-05 1.283362e-05 1.317498e-05 1.832954e-05 #>  [7198,] 1.198970e-05 1.392280e-05 1.549832e-05 1.537465e-05 1.711301e-05 #>  [7199,] 3.620791e-05 9.263050e-05 5.000421e-05 3.649774e-05 2.947931e-05 #>  [7200,] 1.280549e-05 1.299401e-05 1.458088e-05 1.596829e-05 1.758622e-05 #>  [7201,] 2.738261e-05 1.715343e-05 1.632859e-05 1.605848e-05 1.486324e-05 #>  [7202,] 1.363971e-05 1.501024e-05 1.484142e-05 1.500856e-05 1.495206e-05 #>  [7203,] 1.169499e-05 1.127284e-05 1.076824e-05 1.136912e-05 1.190994e-05 #>  [7204,] 2.732038e-05 2.268871e-05 2.878052e-05 2.220323e-05 1.780384e-05 #>  [7205,] 1.175885e-04 6.321060e-05 8.484731e-05 6.027110e-05 3.597606e-05 #>  [7206,] 5.628869e-04 4.056248e-04 2.100874e-04 2.519490e-04 1.542835e-04 #>  [7207,] 1.345677e-05 1.317970e-05 1.417699e-05 1.479123e-05 1.501004e-05 #>  [7208,] 2.857074e-05 2.579543e-05 2.236201e-05 2.165640e-05 1.972278e-05 #>  [7209,] 9.379912e-05 1.216348e-04 1.279372e-04 9.266638e-05 9.151370e-05 #>  [7210,] 1.322788e-05 1.200657e-05 1.197932e-05 1.412585e-05 1.457578e-05 #>  [7211,] 1.666913e-05 1.599555e-05 1.781825e-05 2.020646e-05 1.948902e-05 #>  [7212,] 1.272770e-05 1.248109e-05 1.255412e-05 1.457134e-05 1.486751e-05 #>  [7213,] 1.643911e-05 1.658776e-05 1.750769e-05 2.057277e-05 2.013869e-05 #>  [7214,] 1.249113e-05 1.306168e-05 1.497001e-05 1.512761e-05 1.560656e-05 #>  [7215,] 1.106100e-05 1.023022e-05 1.032535e-05 1.045054e-05 1.129635e-05 #>  [7216,] 1.406237e-05 1.589024e-05 1.419667e-05 1.556733e-05 1.625084e-05 #>  [7217,] 1.202228e-05 1.142554e-05 1.153573e-05 1.325132e-05 1.327633e-05 #>  [7218,] 1.251231e-05 1.345812e-05 1.354668e-05 1.503558e-05 1.573035e-05 #>  [7219,] 1.128227e-05 1.216136e-05 1.268422e-05 1.362182e-05 1.434222e-05 #>  [7220,] 4.834495e-05 6.515953e-05 4.069431e-05 4.215645e-05 3.913699e-05 #>  [7221,] 2.181063e-04 2.244454e-04 2.782782e-05 3.628436e-05 3.876517e-05 #>  [7222,] 1.412121e-05 1.332729e-05 1.679079e-05 1.672320e-05 1.531321e-05 #>  [7223,] 1.187160e-05 1.291211e-05 1.618133e-05 1.457205e-05 1.545818e-05 #>  [7224,] 1.468975e-05 1.592413e-05 1.300217e-05 1.445183e-05 1.958793e-05 #>  [7225,] 3.812527e-05 4.368060e-05 3.839996e-05 3.701924e-05 4.142934e-05 #>  [7226,] 2.176417e-05 2.036555e-05 2.125064e-05 2.014404e-05 1.922327e-05 #>  [7227,] 3.350494e-05 3.419359e-05 4.424267e-05 3.502305e-05 3.203822e-05 #>  [7228,] 2.675845e-05 2.513908e-05 5.345739e-05 7.566182e-05 7.319018e-05 #>  [7229,] 1.916600e-05 2.927241e-05 9.440536e-05 8.891705e-05 9.265076e-05 #>  [7230,] 1.477942e-05 1.324041e-05 1.210530e-05 1.326920e-05 1.373728e-05 #>  [7231,] 1.088155e-05 1.165854e-05 1.224231e-05 1.094687e-05 1.348600e-05 #>  [7232,] 2.170586e-05 2.464384e-05 4.558468e-05 5.393467e-05 9.742432e-05 #>  [7233,] 2.136614e-04 2.195599e-04 3.779129e-04 2.562288e-04 1.167151e-04 #>  [7234,] 2.588122e-05 2.882124e-05 2.117067e-05 2.484957e-05 2.227542e-05 #>  [7235,] 1.362778e-05 1.408508e-05 1.364121e-05 1.533113e-05 1.745381e-05 #>  [7236,] 3.070592e-05 2.244665e-05 2.028268e-05 2.401218e-05 2.796768e-05 #>  [7237,] 1.487981e-05 1.502734e-05 1.287999e-05 1.485819e-05 1.634550e-05 #>  [7238,] 2.664146e-05 3.017083e-05 2.356537e-05 2.555365e-05 2.610681e-05 #>  [7239,] 1.076705e-04 1.349825e-04 9.035535e-05 1.082906e-04 1.612476e-04 #>  [7240,] 1.205078e-05 1.250180e-05 1.395796e-05 1.342834e-05 1.978139e-05 #>  [7241,] 1.322767e-05 1.761893e-05 1.804176e-05 2.168658e-05 4.583271e-05 #>  [7242,] 1.512284e-05 1.582855e-05 3.479772e-05 3.764280e-05 3.463060e-05 #>  [7243,] 1.739051e-05 2.284983e-05 3.135239e-05 2.943379e-05 5.193334e-05 #>  [7244,] 1.355049e-05 1.244485e-05 1.366200e-05 1.399164e-05 1.525358e-05 #>  [7245,] 1.450315e-05 1.386688e-05 1.407074e-05 1.565398e-05 1.620864e-05 #>  [7246,] 2.943351e-05 2.680017e-05 3.950471e-05 4.093418e-05 3.509895e-05 #>  [7247,] 1.127264e-04 1.429802e-04 3.334615e-04 2.457134e-04 1.716263e-04 #>  [7248,] 1.190243e-05 1.329393e-05 1.447530e-05 1.517531e-05 1.478353e-05 #>  [7249,] 1.339790e-04 1.068602e-04 1.446003e-04 8.855456e-05 6.338550e-05 #>  [7250,] 1.146197e-05 1.190116e-05 1.155330e-05 1.172522e-05 1.392590e-05 #>  [7251,] 1.186025e-05 1.073012e-05 1.162174e-05 1.308129e-05 1.272133e-05 #>  [7252,] 1.624058e-05 2.083481e-05 7.545270e-05 8.119435e-05 7.432442e-05 #>  [7253,] 1.717848e-05 1.855493e-05 1.654391e-05 1.720866e-05 1.760637e-05 #>  [7254,] 3.054175e-04 3.673725e-04 7.093506e-04 6.734219e-04 6.551865e-04 #>  [7255,] 1.400163e-05 1.583566e-05 1.413892e-05 1.406339e-05 1.482686e-05 #>  [7256,] 1.525975e-05 1.782779e-05 2.072830e-05 2.235294e-05 2.409068e-05 #>  [7257,] 1.788904e-05 1.797719e-05 1.695336e-05 1.811823e-05 1.874258e-05 #>  [7258,] 1.315030e-05 1.447041e-05 1.635178e-05 1.604547e-05 1.945618e-05 #>  [7259,] 1.213981e-05 1.293236e-05 1.441414e-05 1.511007e-05 1.510286e-05 #>  [7260,] 1.694148e-05 1.782417e-05 1.862819e-05 2.184025e-05 2.901895e-05 #>  [7261,] 4.877474e-05 6.762045e-05 5.433895e-05 6.929118e-05 1.052050e-04 #>  [7262,] 1.637833e-05 1.424127e-05 2.166450e-05 1.796624e-05 2.099212e-05 #>  [7263,] 1.236841e-05 1.253082e-05 1.377457e-05 1.437233e-05 1.571954e-05 #>  [7264,] 1.337703e-05 1.337889e-05 1.364339e-05 1.497228e-05 1.395249e-05 #>  [7265,] 1.280578e-05 1.327198e-05 1.436337e-05 1.607493e-05 1.481891e-05 #>  [7266,] 1.285059e-05 1.430482e-05 1.587701e-05 1.769002e-05 1.725889e-05 #>  [7267,] 1.600622e-05 1.496348e-05 1.190903e-05 1.380878e-05 1.474031e-05 #>  [7268,] 1.209317e-05 1.253787e-05 1.228621e-05 1.453292e-05 1.428887e-05 #>  [7269,] 1.576794e-05 1.817162e-05 2.560779e-05 2.286825e-05 2.178010e-05 #>  [7270,] 1.156932e-05 1.112587e-05 1.141255e-05 1.272792e-05 1.345397e-05 #>  [7271,] 1.216584e-05 1.257579e-05 1.240929e-05 1.356921e-05 1.373792e-05 #>  [7272,] 1.217635e-05 1.227325e-05 1.292774e-05 1.384986e-05 1.480905e-05 #>  [7273,] 1.478482e-05 1.789990e-05 2.506129e-05 1.984819e-05 3.252347e-05 #>  [7274,] 1.306488e-05 1.415449e-05 2.853260e-05 2.444140e-05 2.598056e-05 #>  [7275,] 1.791208e-05 2.207193e-05 1.889536e-05 1.874041e-05 1.908570e-05 #>  [7276,] 1.198472e-05 1.079430e-05 1.053799e-05 1.128642e-05 1.129127e-05 #>  [7277,] 1.259168e-05 1.358801e-05 1.511283e-05 1.587059e-05 1.473044e-05 #>  [7278,] 1.041316e-05 1.075289e-05 1.142285e-05 1.100443e-05 1.132589e-05 #>  [7279,] 1.219546e-05 1.252644e-05 1.529719e-05 1.591743e-05 1.713224e-05 #>  [7280,] 7.943526e-05 4.493779e-05 6.800356e-05 6.007449e-05 4.453626e-05 #>  [7281,] 1.158806e-05 1.099085e-05 1.159324e-05 1.268474e-05 1.361216e-05 #>  [7282,] 2.151816e-05 2.930525e-05 1.354183e-04 1.610573e-04 1.915039e-04 #>  [7283,] 1.248189e-05 1.226172e-05 1.324862e-05 1.396527e-05 1.519455e-05 #>  [7284,] 1.261174e-05 1.293783e-05 1.377568e-05 1.484831e-05 1.358461e-05 #>  [7285,] 1.588566e-05 1.405103e-05 2.622324e-05 2.308669e-05 2.069860e-05 #>  [7286,] 1.338161e-05 1.335382e-05 1.309349e-05 1.427621e-05 1.602559e-05 #>  [7287,] 1.821531e-05 2.517007e-05 3.567362e-05 3.670511e-05 4.800097e-05 #>  [7288,] 1.236833e-05 1.151923e-05 1.171042e-05 1.325475e-05 1.551248e-05 #>  [7289,] 2.163952e-05 1.951458e-05 2.557096e-05 2.561729e-05 2.681914e-05 #>  [7290,] 1.235742e-05 1.363332e-05 1.406832e-05 1.355040e-05 1.373616e-05 #>  [7291,] 1.475028e-05 1.533964e-05 1.398082e-05 1.456397e-05 1.473230e-05 #>  [7292,] 1.387404e-05 1.463618e-05 1.652842e-05 1.883497e-05 2.475150e-05 #>  [7293,] 2.677045e-05 2.546949e-05 3.501312e-05 4.108890e-05 4.835923e-05 #>  [7294,] 3.453299e-05 4.562864e-05 2.267175e-05 2.736500e-05 1.524118e-05 #>  [7295,] 1.533103e-05 1.684696e-05 1.608960e-05 1.778082e-05 1.563352e-05 #>  [7296,] 4.630741e-05 2.931733e-05 4.602610e-05 4.791636e-05 3.481984e-05 #>  [7297,] 3.939846e-05 4.582810e-05 3.078689e-05 2.856977e-05 2.430731e-05 #>  [7298,] 1.249970e-05 1.228219e-05 1.069842e-05 1.145784e-05 1.193866e-05 #>  [7299,] 1.420772e-05 1.384397e-05 1.270293e-05 1.496157e-05 1.397862e-05 #>  [7300,] 3.198833e-05 4.038663e-05 2.963426e-05 2.906637e-05 2.280390e-05 #>  [7301,] 4.439648e-04 5.244174e-04 6.561811e-04 7.284841e-04 7.086034e-04 #>  [7302,] 1.249936e-04 9.010790e-05 1.222695e-04 1.261375e-04 8.720624e-05 #>  [7303,] 1.856992e-05 1.977735e-05 1.617843e-05 1.624425e-05 1.640150e-05 #>  [7304,] 1.625210e-05 1.622181e-05 1.949336e-05 1.804293e-05 1.652209e-05 #>  [7305,] 1.423284e-05 1.574692e-05 1.757936e-05 1.769186e-05 1.679970e-05 #>  [7306,] 3.131786e-05 4.068274e-05 2.760284e-05 3.107240e-05 3.543108e-05 #>  [7307,] 1.273616e-05 1.349544e-05 1.802636e-05 1.919314e-05 2.047609e-05 #>  [7308,] 1.318860e-05 1.856247e-05 2.326151e-05 1.886665e-05 1.996964e-05 #>  [7309,] 1.171085e-05 1.214109e-05 1.327118e-05 1.395004e-05 1.425755e-05 #>  [7310,] 1.468763e-05 1.399499e-05 1.566376e-05 1.552824e-05 1.533283e-05 #>  [7311,] 1.479749e-05 2.525938e-05 1.992180e-05 2.185349e-05 2.335688e-05 #>  [7312,] 1.174275e-05 1.078393e-05 1.110966e-05 1.361092e-05 1.397571e-05 #>  [7313,] 1.214897e-05 1.183778e-05 1.181862e-05 1.287740e-05 1.333107e-05 #>  [7314,] 5.574474e-05 5.550172e-05 6.015715e-05 5.696940e-05 4.535483e-05 #>  [7315,] 2.866924e-05 2.338682e-05 2.073008e-05 2.437030e-05 2.067259e-05 #>  [7316,] 1.038490e-05 1.062682e-05 1.105826e-05 1.120474e-05 1.120381e-05 #>  [7317,] 1.123463e-05 1.151343e-05 1.362584e-05 1.315851e-05 1.219294e-05 #>  [7318,] 1.267988e-05 1.241424e-05 1.309342e-05 1.351635e-05 1.432680e-05 #>  [7319,] 1.318662e-05 1.349773e-05 1.352767e-05 1.395593e-05 1.486745e-05 #>  [7320,] 1.465903e-05 1.374256e-05 1.445852e-05 1.346246e-05 1.304199e-05 #>  [7321,] 1.220376e-05 1.227458e-05 1.304818e-05 1.499863e-05 1.291743e-05 #>  [7322,] 1.610607e-05 1.599711e-05 1.642660e-05 1.700125e-05 1.715260e-05 #>  [7323,] 1.342004e-05 1.497726e-05 2.694469e-05 2.562005e-05 3.029131e-05 #>  [7324,] 1.271813e-05 1.092373e-05 1.236808e-05 1.114720e-05 1.198568e-05 #>  [7325,] 1.185715e-05 1.156791e-05 1.119802e-05 1.325971e-05 1.430335e-05 #>  [7326,] 1.633850e-05 1.788653e-05 1.665337e-05 1.582578e-05 1.605661e-05 #>  [7327,] 1.193606e-05 1.234307e-05 1.414888e-05 1.425352e-05 1.542685e-05 #>  [7328,] 2.394484e-05 3.509963e-05 4.971257e-05 7.667345e-05 1.263837e-04 #>  [7329,] 3.056537e-04 2.748676e-04 2.252501e-04 2.472047e-04 2.875165e-04 #>  [7330,] 1.259310e-05 1.415904e-05 1.408995e-05 1.375535e-05 1.545448e-05 #>  [7331,] 1.173657e-04 1.931861e-04 2.907729e-04 2.762897e-04 2.964935e-04 #>  [7332,] 1.257364e-05 1.196564e-05 1.272825e-05 1.388700e-05 1.444679e-05 #>  [7333,] 1.423916e-05 1.314299e-05 1.413229e-05 1.493618e-05 1.469585e-05 #>  [7334,] 1.179844e-05 1.306084e-05 1.213201e-05 1.238841e-05 1.316663e-05 #>  [7335,] 1.104393e-05 1.082296e-05 1.123197e-05 1.109968e-05 1.088397e-05 #>  [7336,] 4.509251e-05 3.753433e-05 2.367965e-05 2.601203e-05 3.426260e-05 #>  [7337,] 1.251092e-05 1.300908e-05 1.369848e-05 1.793601e-05 1.704062e-05 #>  [7338,] 3.301979e-05 5.205546e-05 6.146305e-05 6.284100e-05 6.081023e-05 #>  [7339,] 1.230484e-05 1.417112e-05 1.502709e-05 1.421819e-05 1.560509e-05 #>  [7340,] 1.568674e-05 1.791057e-05 1.514435e-05 1.679254e-05 1.937805e-05 #>  [7341,] 2.003253e-04 1.626239e-04 1.120901e-04 9.425316e-05 9.797380e-05 #>  [7342,] 2.484175e-05 4.531655e-05 8.335332e-05 6.759187e-05 9.915385e-05 #>  [7343,] 2.175819e-05 2.098211e-05 3.663743e-05 5.077668e-05 6.103542e-05 #>  [7344,] 3.511021e-05 3.096337e-05 4.520554e-05 4.698549e-05 4.377870e-05 #>  [7345,] 1.051555e-05 1.053942e-05 1.124223e-05 1.147188e-05 1.064232e-05 #>  [7346,] 5.063875e-05 7.704848e-05 7.797742e-05 5.981973e-05 8.651110e-05 #>  [7347,] 1.179468e-05 1.252366e-05 1.389488e-05 1.416750e-05 1.513233e-05 #>  [7348,] 1.271184e-05 1.329196e-05 1.326787e-05 1.437763e-05 1.767723e-05 #>  [7349,] 1.297454e-05 1.424046e-05 1.695397e-05 1.993974e-05 2.558471e-05 #>  [7350,] 1.496569e-05 1.338026e-05 1.376775e-05 1.630502e-05 1.628823e-05 #>  [7351,] 1.790382e-05 1.750790e-05 1.654361e-05 2.003549e-05 2.057955e-05 #>  [7352,] 2.359112e-05 2.127003e-05 2.007467e-05 2.689198e-05 3.129492e-05 #>  [7353,] 1.586791e-05 1.662771e-05 3.078169e-05 2.401569e-05 2.320893e-05 #>  [7354,] 2.361807e-05 2.683591e-05 1.495403e-05 5.917034e-05 7.907264e-05 #>  [7355,] 1.224018e-05 1.308581e-05 1.477243e-05 1.421676e-05 1.588349e-05 #>  [7356,] 1.132782e-05 1.058628e-05 1.171728e-05 1.389014e-05 1.345247e-05 #>  [7357,] 3.459291e-05 3.239166e-05 2.207527e-05 2.359297e-05 2.598353e-05 #>  [7358,] 1.726369e-05 1.890832e-05 2.040833e-05 2.390217e-05 2.518261e-05 #>  [7359,] 1.277841e-05 1.318873e-05 1.219157e-05 1.345987e-05 1.339587e-05 #>  [7360,] 1.482174e-05 1.375474e-05 1.352029e-05 1.568683e-05 1.600026e-05 #>  [7361,] 1.552397e-05 1.565486e-05 1.495370e-05 1.591059e-05 1.593342e-05 #>  [7362,] 1.124385e-05 1.229596e-05 1.138081e-05 1.227438e-05 1.277935e-05 #>  [7363,] 1.285964e-05 1.291869e-05 1.363153e-05 1.357446e-05 1.384067e-05 #>  [7364,] 1.489067e-05 1.347840e-05 1.417485e-05 1.513520e-05 1.526021e-05 #>  [7365,] 1.186366e-05 1.177178e-05 1.214559e-05 1.482138e-05 1.650571e-05 #>  [7366,] 1.399466e-05 1.654857e-05 2.052593e-05 2.078673e-05 2.429045e-05 #>  [7367,] 1.351635e-05 1.414140e-05 1.441518e-05 1.519219e-05 1.533144e-05 #>  [7368,] 1.200589e-05 1.170358e-05 1.125216e-05 1.224835e-05 1.258380e-05 #>  [7369,] 1.570435e-05 1.629485e-05 1.603890e-05 1.631720e-05 1.727892e-05 #>  [7370,] 2.937766e-05 3.457350e-05 5.666488e-05 5.546100e-05 3.330474e-05 #>  [7371,] 1.377837e-05 1.257822e-05 1.375709e-05 1.487470e-05 1.437482e-05 #>  [7372,] 1.209254e-05 1.251194e-05 1.320378e-05 1.501367e-05 1.466131e-05 #>  [7373,] 1.213008e-05 1.280948e-05 1.435325e-05 1.530256e-05 1.505698e-05 #>  [7374,] 1.106473e-05 1.063119e-05 1.114583e-05 1.120671e-05 1.138460e-05 #>  [7375,] 1.478866e-04 2.807977e-04 2.937561e-04 2.573929e-04 1.757242e-04 #>  [7376,] 1.483919e-05 1.694850e-05 1.942892e-05 1.994715e-05 1.669191e-05 #>  [7377,] 1.199627e-05 1.359529e-05 1.193026e-05 1.139793e-05 1.158685e-05 #>  [7378,] 1.291494e-05 1.112936e-05 1.116114e-05 1.251649e-05 1.248740e-05 #>  [7379,] 1.198537e-05 1.332645e-05 1.546160e-05 1.460097e-05 1.586810e-05 #>  [7380,] 2.948962e-05 3.956785e-05 1.741674e-05 2.512970e-05 3.065120e-05 #>  [7381,] 1.277883e-05 1.371129e-05 1.391451e-05 1.389955e-05 1.347386e-05 #>  [7382,] 1.353877e-05 1.586730e-05 2.135518e-05 2.482784e-05 3.854249e-05 #>  [7383,] 1.454234e-05 1.436927e-05 1.756655e-05 1.999528e-05 2.447784e-05 #>  [7384,] 1.158134e-05 1.026387e-05 1.210085e-05 1.270448e-05 1.286104e-05 #>  [7385,] 1.282597e-05 1.261748e-05 1.452806e-05 1.477621e-05 1.544739e-05 #>  [7386,] 1.423157e-05 1.522698e-05 1.584428e-05 1.523969e-05 1.648315e-05 #>  [7387,] 4.608565e-05 3.211216e-05 2.256941e-05 2.497354e-05 5.175112e-05 #>  [7388,] 1.887228e-05 2.739029e-05 4.989015e-05 4.707999e-05 7.268542e-05 #>  [7389,] 1.400982e-05 1.339958e-05 1.305596e-05 1.526118e-05 1.629673e-05 #>  [7390,] 1.504138e-05 1.877049e-05 2.730485e-05 2.127043e-05 2.703156e-05 #>  [7391,] 1.617941e-05 1.673231e-05 1.546633e-05 1.606016e-05 1.638943e-05 #>  [7392,] 1.074532e-05 1.079670e-05 1.024637e-05 1.070651e-05 1.203265e-05 #>  [7393,] 1.169719e-05 1.194732e-05 1.311086e-05 1.379922e-05 1.513669e-05 #>  [7394,] 2.398378e-05 1.668231e-05 1.635967e-05 1.754864e-05 1.887125e-05 #>  [7395,] 4.741131e-05 3.303607e-05 7.807869e-05 8.997930e-05 6.396767e-05 #>  [7396,] 1.021182e-05 1.041204e-05 1.088847e-05 1.057729e-05 1.104747e-05 #>  [7397,] 1.419887e-05 1.513942e-05 2.351422e-05 2.672153e-05 2.240024e-05 #>  [7398,] 1.599285e-05 1.496830e-05 1.581118e-05 1.675089e-05 2.395724e-05 #>  [7399,] 1.821016e-05 1.758313e-05 2.845944e-05 3.134764e-05 4.254260e-05 #>  [7400,] 1.577376e-05 1.453917e-05 1.529187e-05 1.591175e-05 1.625440e-05 #>  [7401,] 4.656833e-04 4.973670e-04 3.200113e-04 1.844312e-04 2.223506e-04 #>  [7402,] 1.225554e-05 1.217414e-05 1.205892e-05 1.268747e-05 1.281320e-05 #>  [7403,] 1.647539e-05 1.644091e-05 2.036131e-05 2.000442e-05 1.851864e-05 #>  [7404,] 1.566212e-05 2.133625e-05 3.556564e-05 4.475088e-05 5.604796e-05 #>  [7405,] 1.316340e-05 1.546517e-05 1.961259e-05 1.775800e-05 1.737562e-05 #>  [7406,] 1.439922e-05 1.571132e-05 1.592814e-05 1.710529e-05 1.758174e-05 #>  [7407,] 1.325728e-05 1.319916e-05 1.442550e-05 1.529309e-05 1.705231e-05 #>  [7408,] 1.359652e-04 1.111905e-04 1.344305e-04 1.523894e-04 2.833066e-04 #>  [7409,] 1.313255e-05 1.376315e-05 1.390651e-05 1.367715e-05 1.433672e-05 #>  [7410,] 1.338217e-05 1.395596e-05 1.749068e-05 1.582819e-05 1.833213e-05 #>  [7411,] 1.432336e-05 1.374923e-05 1.433606e-05 1.474850e-05 1.388146e-05 #>  [7412,] 8.307691e-04 7.864473e-04 8.128454e-04 9.307461e-04 8.574321e-04 #>  [7413,] 1.623857e-05 1.553936e-05 2.055137e-05 2.220347e-05 1.897435e-05 #>  [7414,] 1.373933e-05 1.447316e-05 1.656486e-05 1.708080e-05 1.643044e-05 #>  [7415,] 1.374290e-05 1.369740e-05 1.355176e-05 1.492808e-05 1.412031e-05 #>  [7416,] 1.468636e-05 1.680374e-05 1.530665e-05 1.459124e-05 1.669093e-05 #>  [7417,] 2.151311e-05 1.883398e-05 3.983719e-05 3.673394e-05 4.141341e-05 #>  [7418,] 2.679909e-05 1.292767e-05 1.254267e-05 1.366070e-05 1.436787e-05 #>  [7419,] 2.013806e-05 1.888228e-05 1.769324e-05 1.831018e-05 1.945596e-05 #>  [7420,] 1.352035e-05 1.521067e-05 4.012866e-05 3.633530e-05 3.990399e-05 #>  [7421,] 3.626375e-05 2.463142e-05 3.307365e-05 4.291566e-05 3.644241e-05 #>  [7422,] 3.395353e-05 3.523986e-05 3.775951e-04 1.224443e-04 7.686032e-05 #>  [7423,] 1.414332e-05 1.501553e-05 1.568011e-05 1.643854e-05 1.575283e-05 #>  [7424,] 3.983943e-04 4.866511e-04 4.995659e-04 4.350197e-04 3.448494e-04 #>  [7425,] 1.576244e-05 1.738646e-05 2.512827e-05 2.827271e-05 2.690309e-05 #>  [7426,] 4.874383e-05 4.456945e-05 5.744902e-05 6.353029e-05 6.973406e-05 #>  [7427,] 2.255852e-05 2.026757e-05 3.058815e-05 2.742799e-05 2.149676e-05 #>  [7428,] 2.792744e-05 3.220609e-05 1.451729e-05 1.467334e-05 1.465137e-05 #>  [7429,] 1.243271e-05 1.164373e-05 1.189989e-05 1.332739e-05 1.620728e-05 #>  [7430,] 1.354492e-05 1.455754e-05 1.372892e-05 1.452749e-05 1.529124e-05 #>  [7431,] 3.941936e-05 3.940018e-05 2.282717e-05 2.503944e-05 2.684216e-05 #>  [7432,] 1.448771e-05 1.491151e-05 1.291735e-05 1.332089e-05 1.502972e-05 #>  [7433,] 1.712087e-05 1.808557e-05 1.582032e-05 1.697560e-05 1.747159e-05 #>  [7434,] 9.545599e-05 1.065071e-04 3.073274e-04 4.195561e-04 6.394516e-04 #>  [7435,] 1.202737e-05 1.230982e-05 1.332175e-05 1.419075e-05 1.449253e-05 #>  [7436,] 1.225276e-05 1.393776e-05 1.435777e-05 1.318079e-05 1.421448e-05 #>  [7437,] 2.947964e-05 3.312210e-05 6.364820e-05 6.937316e-05 1.033805e-04 #>  [7438,] 1.371341e-05 1.380168e-05 1.407712e-05 1.418676e-05 1.530792e-05 #>  [7439,] 1.133696e-05 1.133279e-05 1.055822e-05 1.285196e-05 1.237869e-05 #>  [7440,] 1.339558e-05 1.309132e-05 1.331882e-05 1.446104e-05 1.527638e-05 #>  [7441,] 1.248129e-05 1.261703e-05 1.272461e-05 1.503170e-05 1.632766e-05 #>  [7442,] 2.492687e-05 2.047823e-05 2.652407e-05 2.784847e-05 3.580163e-05 #>  [7443,] 3.521946e-04 1.651499e-04 1.475414e-04 1.474220e-04 1.445194e-04 #>  [7444,] 1.535045e-05 1.515756e-05 2.080785e-05 2.161508e-05 1.783923e-05 #>  [7445,] 1.906530e-05 1.824672e-05 3.345937e-05 3.490224e-05 3.564462e-05 #>  [7446,] 1.509622e-05 1.813121e-05 3.127422e-05 3.194371e-05 2.779022e-05 #>  [7447,] 1.084926e-03 1.029080e-03 9.722083e-04 1.129129e-03 1.010579e-03 #>  [7448,] 1.248432e-05 1.319286e-05 1.686219e-05 1.909626e-05 1.930411e-05 #>  [7449,] 1.241809e-05 1.267292e-05 1.316897e-05 1.440175e-05 1.543327e-05 #>  [7450,] 1.512769e-05 1.503298e-05 1.633658e-05 1.682391e-05 1.994793e-05 #>  [7451,] 1.255048e-05 1.270780e-05 1.381616e-05 1.359352e-05 1.379495e-05 #>  [7452,] 1.108166e-05 1.176961e-05 1.370554e-05 1.351349e-05 1.277179e-05 #>  [7453,] 1.538927e-05 1.490369e-05 2.377496e-05 3.146813e-05 2.220723e-05 #>  [7454,] 1.276641e-05 1.258996e-05 1.253864e-05 1.306005e-05 1.272906e-05 #>  [7455,] 1.429762e-05 1.455750e-05 1.701204e-05 1.833338e-05 1.686044e-05 #>  [7456,] 1.363264e-05 1.441104e-05 1.566363e-05 1.647396e-05 1.519732e-05 #>  [7457,] 2.467649e-05 1.898790e-05 3.366326e-05 3.088924e-05 3.513385e-05 #>  [7458,] 7.375736e-05 6.782134e-05 1.990102e-04 2.490648e-04 2.741915e-04 #>  [7459,] 3.415915e-05 2.816928e-05 3.300876e-05 4.263954e-05 4.044471e-05 #>  [7460,] 4.805859e-05 8.962484e-05 1.785527e-05 1.625538e-05 1.251473e-05 #>  [7461,] 1.163829e-05 1.197572e-05 1.206175e-05 1.191022e-05 1.280270e-05 #>  [7462,] 2.125086e-05 1.944010e-05 1.700292e-05 1.740888e-05 1.872881e-05 #>  [7463,] 1.563285e-05 1.610059e-05 1.764049e-05 1.883919e-05 1.952595e-05 #>  [7464,] 1.385433e-05 1.513167e-05 1.406246e-05 1.516640e-05 1.742949e-05 #>  [7465,] 1.163146e-05 1.115625e-05 1.228034e-05 1.424756e-05 1.511062e-05 #>  [7466,] 1.411178e-05 1.470165e-05 1.485315e-05 1.607755e-05 1.741084e-05 #>  [7467,] 2.345899e-05 3.285794e-05 3.048980e-05 3.268838e-05 4.005766e-05 #>  [7468,] 1.119286e-05 1.082244e-05 1.193168e-05 1.339131e-05 1.385440e-05 #>  [7469,] 2.967723e-05 2.367062e-05 1.665409e-05 1.694016e-05 1.567516e-05 #>  [7470,] 1.149045e-05 1.205178e-05 1.521699e-05 1.665143e-05 1.858950e-05 #>  [7471,] 1.398798e-05 1.306836e-05 1.382246e-05 1.531980e-05 1.494262e-05 #>  [7472,] 1.760651e-04 4.195839e-05 1.214413e-04 3.427214e-05 1.618836e-05 #>  [7473,] 2.690455e-05 1.882025e-05 2.578651e-05 1.947208e-05 1.395241e-05 #>  [7474,] 1.069188e-04 1.824893e-04 5.891804e-04 6.442738e-04 6.970092e-04 #>  [7475,] 5.030008e-05 5.722614e-05 5.688232e-05 4.395590e-05 5.143994e-05 #>  [7476,] 1.074900e-05 1.014234e-05 1.156663e-05 1.150894e-05 1.207328e-05 #>  [7477,] 1.506623e-05 1.499727e-05 1.428946e-05 1.602718e-05 1.547692e-05 #>  [7478,] 2.083678e-05 2.412209e-05 2.783248e-05 4.108507e-05 4.100126e-05 #>  [7479,] 4.268520e-05 3.291352e-05 4.589701e-05 5.083077e-05 6.983599e-05 #>  [7480,] 1.508077e-05 1.476962e-05 1.726612e-05 1.966272e-05 2.316617e-05 #>  [7481,] 1.232379e-05 1.317815e-05 1.270690e-05 1.316814e-05 1.409495e-05 #>  [7482,] 1.248187e-05 1.238646e-05 1.498074e-05 1.591645e-05 1.618335e-05 #>  [7483,] 1.210087e-05 1.248381e-05 1.324879e-05 1.511546e-05 1.464113e-05 #>  [7484,] 8.751894e-04 9.453254e-04 9.389049e-04 7.002101e-04 5.794879e-04 #>  [7485,] 1.413736e-05 1.807183e-05 2.371077e-05 2.797093e-05 8.537104e-05 #>  [7486,] 6.989514e-05 9.452471e-05 1.353404e-04 1.398861e-04 1.416138e-04 #>  [7487,] 1.562184e-04 1.830301e-04 2.223463e-04 1.797567e-04 1.377056e-04 #>  [7488,] 1.244333e-05 1.326106e-05 1.425731e-05 1.578695e-05 1.500082e-05 #>  [7489,] 1.198203e-05 1.397682e-05 1.476733e-05 1.400144e-05 1.521471e-05 #>  [7490,] 2.086982e-05 2.449517e-05 4.085116e-05 4.856877e-05 4.736666e-05 #>  [7491,] 1.294032e-05 1.339922e-05 1.499212e-05 1.535288e-05 1.560219e-05 #>  [7492,] 1.386327e-05 1.622743e-05 1.489702e-05 1.471857e-05 1.462422e-05 #>  [7493,] 3.511475e-05 5.809010e-05 2.698821e-05 2.948159e-05 4.050419e-05 #>  [7494,] 1.410553e-05 1.648253e-05 1.655512e-05 1.679073e-05 2.003844e-05 #>  [7495,] 1.396593e-05 1.227182e-05 1.404832e-05 1.574743e-05 1.527345e-05 #>  [7496,] 2.820618e-05 3.380731e-05 2.570641e-05 2.398770e-05 2.115583e-05 #>  [7497,] 2.201939e-05 2.012297e-05 2.742019e-05 3.069479e-05 2.373201e-05 #>  [7498,] 1.770450e-05 1.885628e-05 1.938796e-05 2.334488e-05 2.612238e-05 #>  [7499,] 1.519124e-05 1.405624e-05 1.660647e-05 1.757722e-05 1.735496e-05 #>  [7500,] 2.910229e-05 1.806505e-05 1.886763e-05 1.861558e-05 1.969818e-05 #>  [7501,] 1.449809e-05 1.542723e-05 1.746222e-05 1.903925e-05 2.413526e-05 #>  [7502,] 2.859108e-05 2.494761e-05 6.441592e-05 6.339640e-05 4.428587e-05 #>  [7503,] 1.244136e-05 1.381562e-05 1.345015e-05 1.366524e-05 1.353926e-05 #>  [7504,] 2.137836e-05 1.825901e-05 2.559521e-05 2.463038e-05 4.024622e-05 #>  [7505,] 1.360758e-05 1.393381e-05 1.601250e-05 1.889071e-05 1.762208e-05 #>  [7506,] 1.226487e-05 1.387095e-05 1.519089e-05 1.493271e-05 2.196259e-05 #>  [7507,] 1.705355e-05 1.605194e-05 1.593851e-05 1.746868e-05 1.695038e-05 #>  [7508,] 1.443544e-05 1.394934e-05 1.391102e-05 1.581614e-05 1.578580e-05 #>  [7509,] 9.679848e-05 7.631744e-05 5.986436e-05 6.879043e-05 1.276970e-04 #>  [7510,] 6.740652e-05 6.799262e-05 9.973147e-05 1.043477e-04 1.235280e-04 #>  [7511,] 1.483695e-04 1.130683e-04 6.997945e-05 7.808574e-05 9.680438e-05 #>  [7512,] 1.226290e-05 1.309913e-05 1.253902e-05 1.307090e-05 1.366202e-05 #>  [7513,] 6.472610e-04 5.289392e-04 3.193814e-04 4.148962e-04 5.870235e-04 #>  [7514,] 8.101241e-04 3.737456e-04 1.862274e-04 3.000522e-04 5.304584e-04 #>  [7515,] 5.505420e-05 9.274773e-05 2.551386e-04 2.277277e-04 3.703580e-04 #>  [7516,] 8.133905e-04 9.238713e-04 1.014330e-03 1.106851e-03 8.855621e-04 #>  [7517,] 2.609720e-05 2.574387e-05 2.730050e-05 2.970644e-05 3.317544e-05 #>  [7518,] 1.292768e-05 1.303900e-05 1.281403e-05 1.415050e-05 1.520888e-05 #>  [7519,] 1.755130e-05 2.273855e-05 3.647857e-05 3.370345e-05 4.403740e-05 #>  [7520,] 1.059838e-05 1.024929e-05 1.099208e-05 1.075721e-05 1.152948e-05 #>  [7521,] 2.180140e-05 1.782225e-05 1.684160e-05 1.667026e-05 1.766300e-05 #>  [7522,] 1.386420e-05 1.471916e-05 1.578341e-05 1.417726e-05 1.906707e-05 #>  [7523,] 3.892234e-05 3.732057e-05 3.023336e-05 3.046830e-05 2.934887e-05 #>  [7524,] 1.324572e-05 1.431127e-05 1.441631e-05 1.595434e-05 1.592057e-05 #>  [7525,] 1.403778e-05 1.364855e-05 1.310015e-05 1.544647e-05 1.605403e-05 #>  [7526,] 1.447002e-05 1.362279e-05 1.382438e-05 1.497458e-05 1.685070e-05 #>  [7527,] 6.266951e-05 2.241402e-05 2.357566e-05 2.192275e-05 2.870144e-05 #>  [7528,] 1.394604e-05 1.326121e-05 1.446810e-05 1.569349e-05 1.510089e-05 #>  [7529,] 1.925332e-05 1.949648e-05 2.203333e-05 2.783108e-05 2.910175e-05 #>  [7530,] 1.284524e-05 1.348834e-05 1.589779e-05 1.736249e-05 1.849320e-05 #>  [7531,] 1.357855e-05 1.400575e-05 1.493386e-05 1.661589e-05 1.510913e-05 #>  [7532,] 4.455570e-05 4.374817e-05 3.167310e-05 3.381700e-05 3.692418e-05 #>  [7533,] 1.014973e-04 1.221803e-04 1.298958e-04 1.555077e-04 1.671102e-04 #>  [7534,] 1.278102e-05 1.382199e-05 1.319183e-05 1.301125e-05 1.345000e-05 #>  [7535,] 1.314817e-04 1.555474e-04 1.976389e-04 2.693262e-04 2.248542e-04 #>  [7536,] 2.788088e-05 2.367848e-05 1.903861e-05 2.027868e-05 1.900415e-05 #>  [7537,] 1.247616e-05 1.352193e-05 1.324124e-05 1.328396e-05 1.321771e-05 #>  [7538,] 1.075634e-05 1.052256e-05 1.113968e-05 1.133005e-05 1.061396e-05 #>  [7539,] 1.249369e-05 1.081811e-05 1.174851e-05 1.280433e-05 1.301427e-05 #>  [7540,] 1.105557e-05 1.057799e-05 1.256388e-05 1.433583e-05 1.486053e-05 #>  [7541,] 1.200032e-05 1.257311e-05 1.488045e-05 1.520884e-05 1.574788e-05 #>  [7542,] 1.666172e-05 1.804830e-05 1.377987e-05 1.439039e-05 1.465159e-05 #>  [7543,] 1.164032e-05 1.131859e-05 1.226844e-05 1.298080e-05 1.374213e-05 #>  [7544,] 1.140888e-05 1.068245e-05 1.173477e-05 1.365527e-05 1.455590e-05 #>  [7545,] 1.181377e-05 1.216743e-05 1.366028e-05 1.414348e-05 1.542698e-05 #>  [7546,] 8.275271e-05 9.927747e-05 1.173886e-04 1.340606e-04 1.195021e-04 #>  [7547,] 1.140196e-05 1.114269e-05 1.155621e-05 1.145427e-05 1.097883e-05 #>  [7548,] 2.237943e-05 1.751491e-05 2.626797e-05 1.930282e-05 1.526185e-05 #>  [7549,] 1.414568e-05 1.644511e-05 2.288712e-05 2.662236e-05 3.156209e-05 #>  [7550,] 1.220070e-05 1.218775e-05 1.352073e-05 1.496498e-05 1.505302e-05 #>  [7551,] 2.562747e-05 2.626681e-05 3.610638e-05 3.109474e-05 3.156422e-05 #>  [7552,] 1.331961e-05 1.526106e-05 1.987028e-05 1.898752e-05 1.619282e-05 #>  [7553,] 1.640324e-05 1.435063e-05 1.685031e-05 1.691519e-05 1.656354e-05 #>  [7554,] 1.236859e-05 1.271766e-05 1.352194e-05 1.366090e-05 1.344762e-05 #>  [7555,] 5.207543e-05 6.296683e-05 5.486749e-05 5.584330e-05 4.790993e-05 #>  [7556,] 1.933162e-05 2.254637e-05 2.556522e-05 2.372712e-05 2.261223e-05 #>  [7557,] 1.262798e-05 1.273300e-05 1.246586e-05 1.222510e-05 1.262362e-05 #>  [7558,] 5.651614e-05 5.925929e-05 7.998761e-05 7.971771e-05 7.260519e-05 #>  [7559,] 1.448400e-05 1.371207e-05 1.266499e-05 1.310505e-05 1.357155e-05 #>  [7560,] 1.517636e-04 2.450909e-04 2.449445e-04 2.279838e-04 1.991463e-04 #>  [7561,] 1.494745e-05 1.418176e-05 1.530102e-05 1.608338e-05 1.476450e-05 #>  [7562,] 2.128548e-05 2.098269e-05 1.585915e-05 1.537988e-05 1.523303e-05 #>  [7563,] 2.025848e-05 2.554812e-05 2.468898e-05 2.625667e-05 2.578260e-05 #>  [7564,] 1.281859e-05 1.363537e-05 1.363913e-05 1.472392e-05 1.663739e-05 #>  [7565,] 1.417008e-05 1.467409e-05 1.550360e-05 1.503640e-05 1.629943e-05 #>  [7566,] 1.477934e-05 1.588932e-05 1.565556e-05 1.530701e-05 1.735425e-05 #>  [7567,] 2.049507e-05 2.108747e-05 1.769849e-05 1.835315e-05 1.504176e-05 #>  [7568,] 1.335366e-05 1.378969e-05 1.393770e-05 1.490883e-05 1.445781e-05 #>  [7569,] 1.404500e-05 1.530554e-05 1.616274e-05 1.612330e-05 1.582144e-05 #>  [7570,] 1.169079e-05 1.178726e-05 1.136522e-05 1.231203e-05 1.215213e-05 #>  [7571,] 1.414012e-05 1.407485e-05 1.386690e-05 1.458196e-05 1.504104e-05 #>  [7572,] 1.772168e-05 2.257346e-05 7.722716e-05 8.207635e-05 1.015118e-04 #>  [7573,] 1.322812e-05 1.439675e-05 1.619602e-05 1.698255e-05 1.630168e-05 #>  [7574,] 1.900730e-05 2.565877e-05 1.393521e-05 1.324461e-05 1.365223e-05 #>  [7575,] 1.240838e-05 1.159972e-05 1.398984e-05 1.505070e-05 1.478075e-05 #>  [7576,] 1.131428e-05 1.187823e-05 1.330306e-05 1.334734e-05 1.505849e-05 #>  [7577,] 5.124787e-04 6.937620e-04 7.984865e-04 6.441122e-04 5.173088e-04 #>  [7578,] 1.811231e-05 1.840737e-05 2.429431e-05 2.543877e-05 2.457981e-05 #>  [7579,] 1.279931e-04 1.696716e-04 9.988700e-05 7.951319e-05 8.423404e-05 #>  [7580,] 1.300187e-05 1.297759e-05 1.408882e-05 1.403497e-05 1.497413e-05 #>  [7581,] 7.416999e-05 3.411347e-05 2.334910e-05 2.775249e-05 6.196943e-05 #>  [7582,] 1.663124e-05 1.734775e-05 2.208210e-05 2.656488e-05 3.123180e-05 #>  [7583,] 1.247359e-05 1.370782e-05 1.666206e-05 1.708611e-05 1.563412e-05 #>  [7584,] 2.060971e-05 2.660954e-05 1.997199e-05 3.034276e-05 7.101907e-05 #>  [7585,] 1.410830e-05 1.461554e-05 1.336754e-05 1.288658e-05 1.387616e-05 #>  [7586,] 1.323161e-05 1.359815e-05 1.485198e-05 1.547356e-05 1.443322e-05 #>  [7587,] 9.961843e-06 1.095411e-05 1.182262e-05 1.176524e-05 1.195050e-05 #>  [7588,] 2.175137e-05 2.254097e-05 1.926139e-05 1.984763e-05 1.999900e-05 #>  [7589,] 1.169266e-05 1.247844e-05 1.332512e-05 1.455652e-05 1.511738e-05 #>  [7590,] 1.275657e-05 1.442136e-05 1.500465e-05 1.400325e-05 1.537147e-05 #>  [7591,] 1.115802e-05 1.117664e-05 1.063137e-05 1.067376e-05 1.079844e-05 #>  [7592,] 1.096409e-03 1.093291e-03 1.101022e-03 1.016801e-03 9.851368e-04 #>  [7593,] 9.608364e-05 7.771343e-05 3.506182e-05 4.336868e-05 4.435407e-05 #>  [7594,] 1.321280e-05 1.207031e-05 1.274495e-05 1.507491e-05 1.694861e-05 #>  [7595,] 2.013577e-05 4.816521e-05 4.858346e-05 3.515695e-05 4.626984e-05 #>  [7596,] 2.083664e-05 1.738631e-05 1.444944e-05 1.641394e-05 1.773666e-05 #>  [7597,] 1.597276e-05 1.715913e-05 1.592196e-05 1.703581e-05 1.972571e-05 #>  [7598,] 1.619352e-05 1.305215e-05 1.406233e-05 1.397099e-05 1.527924e-05 #>  [7599,] 1.252138e-05 1.206506e-05 1.160317e-05 1.330268e-05 1.332920e-05 #>  [7600,] 1.481048e-05 2.079128e-05 2.399302e-05 2.940040e-05 5.751388e-05 #>  [7601,] 1.329342e-05 1.534318e-05 1.414042e-05 1.555609e-05 1.479154e-05 #>  [7602,] 6.895265e-05 6.939260e-05 4.761904e-05 5.486291e-05 4.789458e-05 #>  [7603,] 2.116529e-05 3.166770e-05 5.846520e-05 5.071447e-05 3.925615e-05 #>  [7604,] 3.704683e-05 2.910778e-05 2.979288e-05 3.142031e-05 2.914776e-05 #>  [7605,] 1.306315e-05 1.272722e-05 1.315531e-05 1.426714e-05 1.414636e-05 #>  [7606,] 1.391066e-05 1.499647e-05 1.624272e-05 2.410530e-05 3.883968e-05 #>  [7607,] 3.246816e-05 2.038256e-05 1.874893e-05 2.041431e-05 2.189042e-05 #>  [7608,] 2.884507e-05 4.410735e-05 3.739117e-05 2.690964e-05 3.133226e-05 #>  [7609,] 1.003959e-04 1.341798e-04 9.519175e-05 7.687093e-05 6.778765e-05 #>  [7610,] 1.787562e-05 1.629145e-05 1.803567e-05 1.796384e-05 2.157187e-05 #>  [7611,] 1.462925e-05 1.604348e-05 1.631649e-05 1.731496e-05 1.836029e-05 #>  [7612,] 1.152709e-05 1.193880e-05 1.160884e-05 1.165392e-05 1.265685e-05 #>  [7613,] 1.355454e-05 1.290969e-05 1.290652e-05 1.457324e-05 1.487330e-05 #>  [7614,] 1.376012e-05 1.287063e-05 1.332782e-05 1.507453e-05 1.653205e-05 #>  [7615,] 1.567335e-05 1.414804e-05 1.360517e-05 1.389216e-05 1.462581e-05 #>  [7616,] 1.311567e-05 1.261395e-05 1.132650e-05 1.089613e-05 1.153390e-05 #>  [7617,] 1.248222e-05 1.298615e-05 1.354816e-05 1.545570e-05 1.510300e-05 #>  [7618,] 1.087797e-05 1.081900e-05 1.141062e-05 1.160881e-05 1.270921e-05 #>  [7619,] 1.257146e-05 1.417200e-05 1.638566e-05 1.430271e-05 1.559847e-05 #>  [7620,] 5.252137e-05 3.083290e-05 3.416226e-05 3.918236e-05 3.850496e-05 #>  [7621,] 1.179670e-05 1.124891e-05 1.099616e-05 1.232409e-05 1.339855e-05 #>  [7622,] 1.636188e-05 1.559762e-05 1.639942e-05 1.719866e-05 1.778800e-05 #>  [7623,] 1.262791e-05 1.285712e-05 1.248940e-05 1.344454e-05 1.924678e-05 #>  [7624,] 4.450113e-05 2.072829e-05 3.007763e-05 4.091244e-05 3.697898e-05 #>  [7625,] 1.211950e-05 1.353684e-05 1.419826e-05 1.440815e-05 1.533587e-05 #>  [7626,] 1.360475e-05 1.431569e-05 1.774552e-05 1.945320e-05 1.926016e-05 #>  [7627,] 1.270405e-05 1.145850e-05 1.246608e-05 1.415275e-05 1.605715e-05 #>  [7628,] 1.851562e-05 1.657104e-05 1.624118e-05 1.797217e-05 2.205918e-05 #>  [7629,] 1.314663e-05 1.510466e-05 1.562008e-05 1.867513e-05 3.247876e-05 #>  [7630,] 5.256414e-05 5.791084e-05 5.671373e-05 5.178324e-05 4.263570e-05 #>  [7631,] 1.366397e-04 4.393592e-04 1.407738e-04 1.167731e-04 3.157353e-04 #>  [7632,] 1.879844e-05 2.134592e-05 2.697825e-05 2.810726e-05 3.259370e-05 #>  [7633,] 1.299541e-05 1.298720e-05 1.592451e-05 1.723801e-05 1.607629e-05 #>  [7634,] 1.319908e-05 1.352924e-05 1.420709e-05 1.573263e-05 1.422579e-05 #>  [7635,] 5.628243e-05 4.618333e-05 9.377604e-05 1.138855e-04 8.608277e-05 #>  [7636,] 1.489399e-05 1.586111e-05 2.878764e-05 3.026305e-05 4.064219e-05 #>  [7637,] 1.332165e-05 1.296755e-05 1.354460e-05 1.359689e-05 1.390931e-05 #>  [7638,] 1.173443e-05 1.319107e-05 1.449514e-05 1.357900e-05 1.412730e-05 #>  [7639,] 3.526974e-05 2.788236e-05 2.348886e-05 2.748872e-05 3.436928e-05 #>  [7640,] 1.347131e-05 1.292144e-05 1.442846e-05 1.369257e-05 1.379833e-05 #>  [7641,] 1.446089e-05 1.616568e-05 1.453784e-05 1.613399e-05 1.902784e-05 #>  [7642,] 1.161688e-05 1.229629e-05 1.339668e-05 1.465649e-05 1.522245e-05 #>  [7643,] 1.384616e-05 1.496619e-05 1.668560e-05 1.656909e-05 1.667077e-05 #>  [7644,] 5.944580e-05 4.844050e-05 8.945510e-05 7.697377e-05 9.854910e-05 #>  [7645,] 3.455453e-05 9.016699e-05 2.190098e-05 2.406520e-05 4.032480e-05 #>  [7646,] 2.001927e-05 1.589128e-05 3.095392e-05 2.516787e-05 1.471554e-05 #>  [7647,] 1.391468e-05 1.378577e-05 1.292402e-05 1.480728e-05 1.337006e-05 #>  [7648,] 1.134015e-05 1.151595e-05 1.112123e-05 1.186160e-05 1.322356e-05 #>  [7649,] 1.215404e-05 1.160089e-05 1.194788e-05 1.344224e-05 1.433714e-05 #>  [7650,] 1.000356e-04 4.430082e-05 2.948370e-05 4.599725e-05 4.703298e-05 #>  [7651,] 1.410683e-05 1.378518e-05 1.398531e-05 1.441304e-05 1.507302e-05 #>  [7652,] 1.472987e-05 1.487909e-05 1.608384e-05 1.737073e-05 1.668947e-05 #>  [7653,] 1.105595e-05 1.116616e-05 1.051256e-05 1.161633e-05 1.194476e-05 #>  [7654,] 3.964318e-05 4.531765e-05 4.666135e-05 5.432870e-05 6.045297e-05 #>  [7655,] 8.797371e-05 1.286290e-04 1.029838e-04 9.897003e-05 1.187723e-04 #>  [7656,] 1.399550e-05 1.421211e-05 1.464632e-05 1.588661e-05 1.527099e-05 #>  [7657,] 1.378433e-05 1.603403e-05 1.557985e-05 1.594675e-05 1.733293e-05 #>  [7658,] 1.295161e-05 1.273440e-05 1.383793e-05 1.251279e-05 1.265852e-05 #>  [7659,] 1.180642e-05 1.118826e-05 1.154986e-05 1.269275e-05 1.325473e-05 #>  [7660,] 1.287445e-05 1.430897e-05 1.499625e-05 1.609320e-05 1.547350e-05 #>  [7661,] 1.289971e-05 1.275606e-05 1.369369e-05 1.530988e-05 1.486027e-05 #>  [7662,] 1.190234e-05 1.157591e-05 1.134811e-05 1.233176e-05 1.246002e-05 #>  [7663,] 1.837213e-05 1.976436e-05 1.638069e-05 2.200946e-05 2.818389e-05 #>  [7664,] 1.195578e-05 1.068457e-05 1.115558e-05 1.171212e-05 1.232038e-05 #>  [7665,] 1.964390e-05 1.784704e-05 1.921219e-05 1.942576e-05 2.155924e-05 #>  [7666,] 1.419287e-05 1.706476e-05 1.685702e-05 1.844663e-05 1.996054e-05 #>  [7667,] 1.329865e-05 1.294400e-05 1.417642e-05 1.486259e-05 1.436471e-05 #>  [7668,] 2.158697e-05 1.980917e-05 2.400274e-05 2.480546e-05 2.140611e-05 #>  [7669,] 7.025864e-04 6.291377e-04 7.016813e-04 6.821773e-04 5.434395e-04 #>  [7670,] 2.506449e-05 3.866699e-05 3.311699e-05 2.642480e-05 2.770144e-05 #>  [7671,] 1.296129e-05 1.388179e-05 1.383321e-05 1.444902e-05 1.567332e-05 #>  [7672,] 1.604519e-05 2.443165e-05 2.735560e-05 2.655204e-05 3.596154e-05 #>  [7673,] 1.186187e-05 1.168664e-05 1.062782e-05 1.090168e-05 1.124476e-05 #>  [7674,] 1.610241e-05 2.174173e-05 2.660905e-05 3.354285e-05 5.864658e-05 #>  [7675,] 1.647347e-05 1.641516e-05 1.715671e-05 1.731444e-05 2.370161e-05 #>  [7676,] 3.537297e-04 3.743964e-04 4.362819e-04 3.154762e-04 3.208726e-04 #>  [7677,] 1.512729e-04 1.772018e-04 1.401815e-04 1.433649e-04 1.008965e-04 #>  [7678,] 1.242360e-05 1.397324e-05 1.539316e-05 1.477906e-05 1.519306e-05 #>  [7679,] 2.084398e-05 1.860658e-05 1.668874e-05 1.823941e-05 1.818126e-05 #>  [7680,] 1.270709e-05 1.295974e-05 1.406372e-05 1.376676e-05 1.434089e-05 #>  [7681,] 1.451988e-05 1.643173e-05 1.256952e-05 1.435853e-05 1.575399e-05 #>  [7682,] 1.790565e-04 5.476558e-04 6.626216e-04 7.909844e-04 9.574367e-04 #>  [7683,] 1.579768e-05 1.386795e-05 1.623244e-05 1.838217e-05 1.977156e-05 #>  [7684,] 1.930861e-05 1.470637e-05 1.758490e-05 1.861194e-05 1.698914e-05 #>  [7685,] 3.257713e-05 3.178748e-05 3.607901e-05 4.168272e-05 4.012135e-05 #>  [7686,] 1.374008e-05 1.493985e-05 1.442649e-05 1.490865e-05 1.456759e-05 #>  [7687,] 1.549286e-05 1.410818e-05 1.206707e-05 1.137521e-05 1.230200e-05 #>  [7688,] 5.175096e-05 3.652086e-05 3.093284e-05 2.892729e-05 1.952332e-05 #>  [7689,] 1.266239e-05 1.285638e-05 1.341919e-05 1.428763e-05 1.356102e-05 #>  [7690,] 1.083938e-04 8.593553e-05 1.067055e-04 7.714730e-05 6.481015e-05 #>  [7691,] 1.547253e-05 1.784172e-05 1.559978e-05 1.603446e-05 1.806341e-05 #>  [7692,] 1.259805e-05 1.099541e-05 1.188395e-05 1.362086e-05 1.535115e-05 #>  [7693,] 1.014243e-03 9.901575e-04 8.801469e-04 8.283246e-04 7.772675e-04 #>  [7694,] 3.103750e-05 3.342545e-05 2.983395e-05 2.895779e-05 2.254381e-05 #>  [7695,] 1.254454e-05 1.278373e-05 1.349226e-05 1.414138e-05 1.508002e-05 #>  [7696,] 2.992135e-04 1.033843e-04 1.275668e-04 1.413191e-04 1.466007e-04 #>  [7697,] 9.356784e-05 6.142608e-05 2.034498e-05 1.918819e-05 1.431426e-05 #>  [7698,] 1.734539e-05 1.765426e-05 1.983642e-05 1.990753e-05 1.759374e-05 #>  [7699,] 1.803688e-05 1.797590e-05 1.542764e-05 1.716973e-05 1.745401e-05 #>  [7700,] 1.283072e-05 1.641072e-05 2.002416e-05 1.696469e-05 1.459821e-05 #>  [7701,] 5.595216e-05 5.944321e-05 5.713410e-05 6.397334e-05 7.776309e-05 #>  [7702,] 1.148147e-05 1.129968e-05 1.152173e-05 1.226243e-05 1.253614e-05 #>  [7703,] 1.174833e-05 1.163728e-05 1.270539e-05 1.375029e-05 1.476662e-05 #>  [7704,] 1.286543e-05 1.467027e-05 2.768584e-05 3.438850e-05 3.186147e-05 #>  [7705,] 2.354438e-05 1.574568e-05 1.586267e-05 1.563464e-05 1.612514e-05 #>  [7706,] 3.177456e-05 3.558534e-05 2.656111e-05 2.986781e-05 3.383285e-05 #>  [7707,] 1.346654e-05 1.304785e-05 1.525895e-05 1.566019e-05 1.477772e-05 #>  [7708,] 1.357098e-05 1.210882e-05 1.698518e-05 1.621975e-05 1.464598e-05 #>  [7709,] 1.317345e-05 1.233328e-05 1.452862e-05 1.597482e-05 1.523425e-05 #>  [7710,] 1.231973e-05 1.320847e-05 1.574203e-05 1.673317e-05 1.635080e-05 #>  [7711,] 1.091156e-05 1.385987e-05 1.506307e-05 1.332011e-05 1.521804e-05 #>  [7712,] 1.068753e-05 1.029808e-05 1.073492e-05 1.116780e-05 1.139784e-05 #>  [7713,] 1.119692e-04 1.013580e-04 7.010644e-05 6.848184e-05 7.108895e-05 #>  [7714,] 9.463613e-05 1.347398e-04 1.634073e-04 5.586539e-05 7.689664e-05 #>  [7715,] 1.398221e-05 1.386105e-05 1.496889e-05 1.615281e-05 1.554362e-05 #>  [7716,] 3.891415e-05 3.642940e-05 5.013631e-05 6.280843e-05 1.031002e-04 #>  [7717,] 3.024146e-05 3.951233e-05 2.688411e-05 2.749694e-05 3.043996e-05 #>  [7718,] 1.291211e-05 1.406502e-05 1.592288e-05 1.551650e-05 1.537726e-05 #>  [7719,] 1.405536e-05 1.294707e-05 1.475456e-05 1.490889e-05 1.549521e-05 #>  [7720,] 1.268889e-05 1.359534e-05 1.365379e-05 1.351260e-05 1.449959e-05 #>  [7721,] 1.060524e-05 1.009761e-05 1.046527e-05 1.125187e-05 1.100160e-05 #>  [7722,] 2.042587e-05 2.502336e-05 8.391025e-05 6.824703e-05 5.539745e-05 #>  [7723,] 1.279587e-05 1.356061e-05 1.566610e-05 1.678163e-05 1.642722e-05 #>  [7724,] 1.365189e-05 1.364075e-05 1.526698e-05 1.597347e-05 1.568794e-05 #>  [7725,] 1.385050e-05 1.397835e-05 1.547570e-05 1.728272e-05 2.157322e-05 #>  [7726,] 2.902835e-05 2.897104e-05 3.790389e-05 3.192679e-05 2.525467e-05 #>  [7727,] 1.154707e-05 1.299377e-05 1.829677e-05 1.449968e-05 1.718265e-05 #>  [7728,] 1.367174e-05 1.288535e-05 1.358335e-05 1.518846e-05 1.824650e-05 #>  [7729,] 1.884640e-05 1.946729e-05 1.710615e-05 1.675889e-05 1.900138e-05 #>  [7730,] 1.362783e-05 1.267004e-05 1.368984e-05 1.430640e-05 1.446259e-05 #>  [7731,] 1.331340e-05 2.621433e-05 7.218478e-05 4.300762e-05 6.271011e-05 #>  [7732,] 2.131235e-05 1.831367e-05 1.400698e-05 1.477542e-05 1.469561e-05 #>  [7733,] 1.567813e-05 1.441544e-05 1.573961e-05 1.639516e-05 1.616557e-05 #>  [7734,] 1.615230e-05 1.514262e-05 3.100319e-05 2.845271e-05 2.058023e-05 #>  [7735,] 4.169513e-04 4.017548e-04 2.128254e-04 1.701307e-04 1.746833e-04 #>  [7736,] 1.058337e-05 1.077359e-05 1.066471e-05 1.100859e-05 1.095671e-05 #>  [7737,] 1.655686e-05 1.638704e-05 1.767172e-05 1.922991e-05 2.293597e-05 #>  [7738,] 2.378413e-04 1.316814e-04 3.695355e-05 4.149436e-05 4.732453e-05 #>  [7739,] 2.145599e-05 2.203632e-05 2.218312e-05 2.035300e-05 1.908313e-05 #>  [7740,] 6.172157e-05 2.586148e-05 2.925898e-05 2.635789e-05 1.832696e-05 #>  [7741,] 1.091007e-05 1.012854e-05 1.128970e-05 1.155784e-05 1.062258e-05 #>  [7742,] 1.277048e-05 1.484086e-05 1.818462e-05 1.450231e-05 1.679586e-05 #>  [7743,] 1.171259e-05 1.234065e-05 1.499317e-05 1.251727e-05 1.287001e-05 #>  [7744,] 1.476115e-05 2.360516e-05 2.916458e-05 2.853438e-05 2.828263e-05 #>  [7745,] 1.467160e-05 3.066561e-05 7.101953e-05 9.653617e-05 1.972975e-04 #>  [7746,] 1.414376e-05 1.383473e-05 1.413177e-05 1.575082e-05 1.507394e-05 #>  [7747,] 1.327003e-05 1.351133e-05 1.516674e-05 1.512355e-05 1.347401e-05 #>  [7748,] 1.041074e-05 1.039795e-05 1.090790e-05 1.102861e-05 1.038157e-05 #>  [7749,] 1.120766e-05 1.101818e-05 1.194424e-05 1.208923e-05 1.213019e-05 #>  [7750,] 1.138043e-05 1.302193e-05 1.416110e-05 1.415085e-05 1.528972e-05 #>  [7751,] 9.876551e-06 9.944617e-06 1.153025e-05 1.078751e-05 1.045160e-05 #>  [7752,] 1.371774e-05 1.403928e-05 1.660351e-05 1.428557e-05 1.438267e-05 #>  [7753,] 1.319556e-05 1.504257e-05 1.462210e-05 1.411017e-05 1.577922e-05 #>  [7754,] 3.394639e-05 4.147127e-05 3.054658e-05 3.023295e-05 3.076669e-05 #>  [7755,] 2.060863e-05 2.213131e-05 3.584610e-05 4.858896e-05 1.112764e-04 #>  [7756,] 1.671147e-05 1.460822e-05 1.607742e-05 1.884411e-05 1.919718e-05 #>  [7757,] 1.277487e-05 1.217473e-05 1.292157e-05 1.238444e-05 1.377274e-05 #>  [7758,] 2.753026e-05 2.154258e-05 2.094798e-05 2.748185e-05 3.985858e-05 #>  [7759,] 1.459254e-05 1.548756e-05 3.076671e-05 2.681549e-05 5.046631e-05 #>  [7760,] 4.064000e-05 3.628585e-05 1.851619e-05 2.817379e-05 4.860284e-05 #>  [7761,] 6.762923e-05 5.520852e-05 5.718597e-05 4.778183e-05 5.299420e-05 #>  [7762,] 1.295473e-05 1.256813e-05 1.248084e-05 1.365999e-05 1.521271e-05 #>  [7763,] 1.335537e-05 1.248205e-05 1.327192e-05 1.572838e-05 1.606924e-05 #>  [7764,] 1.610099e-05 1.964184e-05 2.010476e-05 1.770237e-05 1.734000e-05 #>  [7765,] 1.546644e-05 1.509498e-05 2.740495e-05 2.347115e-05 2.520037e-05 #>  [7766,] 1.398757e-05 1.343587e-05 1.372477e-05 1.551450e-05 1.557172e-05 #>  [7767,] 7.837628e-05 1.718911e-04 2.331763e-04 2.787830e-04 2.363044e-04 #>  [7768,] 1.061327e-05 1.139387e-05 1.191278e-05 1.204038e-05 1.428334e-05 #>  [7769,] 1.118286e-05 1.191058e-05 1.241921e-05 1.255418e-05 1.261949e-05 #>  [7770,] 1.314197e-05 1.343541e-05 1.813793e-05 1.879535e-05 2.163287e-05 #>  [7771,] 1.440342e-05 1.627290e-05 1.470870e-05 1.565997e-05 1.655873e-05 #>  [7772,] 1.215757e-05 1.449262e-05 1.643423e-05 1.517538e-05 1.587086e-05 #>  [7773,] 1.531824e-05 1.592110e-05 1.940506e-05 2.491840e-05 2.904587e-05 #>  [7774,] 7.719203e-05 3.973452e-05 2.460082e-05 3.545046e-05 2.672590e-05 #>  [7775,] 1.134008e-05 1.147392e-05 1.318209e-05 1.454189e-05 1.540434e-05 #>  [7776,] 2.442069e-05 3.098116e-05 5.583033e-05 4.327088e-05 2.844895e-05 #>  [7777,] 4.654787e-05 9.046759e-05 8.006372e-05 1.296420e-04 2.098726e-04 #>  [7778,] 1.235751e-05 1.384574e-05 1.460390e-05 1.442062e-05 1.667249e-05 #>  [7779,] 1.392417e-05 1.557421e-05 1.952197e-05 2.073735e-05 1.874752e-05 #>  [7780,] 2.335598e-05 2.435716e-05 2.892618e-05 3.273744e-05 3.454826e-05 #>  [7781,] 1.178355e-04 9.766912e-05 1.291370e-04 1.387873e-04 9.307631e-05 #>  [7782,] 1.206367e-05 1.224187e-05 1.196791e-05 1.303186e-05 1.247455e-05 #>  [7783,] 2.909960e-05 4.205031e-05 4.813584e-05 5.170315e-05 5.161258e-05 #>  [7784,] 1.595162e-05 1.532722e-05 1.579123e-05 1.666715e-05 1.724125e-05 #>  [7785,] 3.841547e-05 3.445560e-05 1.902647e-05 2.028109e-05 2.470205e-05 #>  [7786,] 2.599146e-05 4.887271e-05 2.674711e-05 2.070135e-05 1.916235e-05 #>  [7787,] 1.536737e-05 1.640095e-05 1.656255e-05 1.992091e-05 2.289601e-05 #>  [7788,] 8.142492e-05 7.472527e-05 1.716708e-05 1.733765e-05 1.470837e-05 #>  [7789,] 1.432551e-05 1.434320e-05 1.507425e-05 1.638218e-05 1.706246e-05 #>  [7790,] 1.400911e-05 1.358430e-05 1.482004e-05 1.796667e-05 1.858398e-05 #>  [7791,] 2.560180e-05 3.073149e-05 1.295453e-04 1.575040e-04 1.356653e-04 #>  [7792,] 1.519491e-05 1.456333e-05 1.306328e-05 1.588332e-05 1.530226e-05 #>  [7793,] 1.130793e-05 1.041295e-05 1.070967e-05 1.085030e-05 1.168334e-05 #>  [7794,] 1.551119e-05 2.057869e-05 1.327500e-05 1.328514e-05 1.345908e-05 #>  [7795,] 1.278793e-05 1.238981e-05 1.292581e-05 1.476988e-05 1.407203e-05 #>  [7796,] 1.196447e-05 1.366457e-05 1.524004e-05 1.482675e-05 1.487655e-05 #>  [7797,] 1.279124e-05 1.319770e-05 1.223284e-05 1.317410e-05 1.275567e-05 #>  [7798,] 1.190738e-05 1.303963e-05 1.255442e-05 1.355545e-05 1.311694e-05 #>  [7799,] 1.185098e-05 1.154119e-05 1.258979e-05 1.399531e-05 1.553480e-05 #>  [7800,] 1.407676e-05 1.283048e-05 1.234012e-05 1.457093e-05 1.365311e-05 #>  [7801,] 1.103597e-05 1.024873e-05 1.072964e-05 1.072396e-05 1.131287e-05 #>  [7802,] 1.365397e-05 1.239383e-05 1.318904e-05 1.472733e-05 1.413636e-05 #>  [7803,] 1.791198e-05 1.846112e-05 1.670638e-05 1.702749e-05 1.458740e-05 #>  [7804,] 1.216946e-05 1.276605e-05 1.339589e-05 1.524611e-05 1.821871e-05 #>  [7805,] 1.291756e-05 1.308916e-05 1.232142e-05 1.482073e-05 1.686477e-05 #>  [7806,] 1.608103e-05 2.484394e-05 2.186813e-05 1.999658e-05 3.152351e-05 #>  [7807,] 1.148764e-05 1.165969e-05 1.200257e-05 1.265699e-05 1.321923e-05 #>  [7808,] 1.309549e-05 1.353472e-05 1.479806e-05 1.474950e-05 1.608112e-05 #>  [7809,] 2.379463e-05 2.307340e-05 2.356222e-05 2.272559e-05 2.092697e-05 #>  [7810,] 1.350905e-04 2.073650e-04 4.038916e-04 3.902723e-04 4.873589e-04 #>  [7811,] 1.462161e-05 1.480262e-05 1.464586e-05 1.403761e-05 1.187740e-05 #>  [7812,] 6.364723e-05 8.037585e-05 3.567512e-05 2.173085e-05 1.528313e-05 #>  [7813,] 1.141430e-05 1.194018e-05 1.283187e-05 1.391798e-05 1.595858e-05 #>  [7814,] 9.179836e-05 3.218164e-05 7.418239e-05 1.307136e-04 1.209344e-04 #>  [7815,] 1.460842e-05 1.361596e-05 1.565171e-05 1.778336e-05 1.623398e-05 #>  [7816,] 1.941034e-05 1.989847e-05 1.636350e-05 1.790546e-05 1.836317e-05 #>  [7817,] 1.479892e-05 1.430550e-05 1.330083e-05 1.503205e-05 1.393786e-05 #>  [7818,] 1.613104e-05 1.632270e-05 1.742986e-05 1.816307e-05 1.747451e-05 #>  [7819,] 4.109793e-05 2.777732e-05 2.028146e-05 2.131795e-05 1.806083e-05 #>  [7820,] 1.184637e-05 1.319080e-05 1.268162e-05 1.392090e-05 1.325232e-05 #>  [7821,] 1.397710e-05 1.669116e-05 1.828585e-05 2.008478e-05 2.041472e-05 #>  [7822,] 1.304223e-05 1.367589e-05 1.499769e-05 1.438658e-05 1.561146e-05 #>  [7823,] 6.332243e-05 5.539078e-05 3.584392e-05 6.373770e-05 7.822056e-05 #>  [7824,] 4.063788e-05 1.672511e-05 1.560695e-05 1.731439e-05 1.385934e-05 #>  [7825,] 3.730334e-05 2.331967e-05 1.567683e-05 1.822278e-05 1.536405e-05 #>  [7826,] 1.767761e-05 2.073650e-05 1.837430e-05 1.686003e-05 1.673745e-05 #>  [7827,] 4.565403e-05 5.039466e-05 3.002241e-05 3.319431e-05 3.390944e-05 #>  [7828,] 1.205337e-05 1.147125e-05 1.321134e-05 1.445538e-05 1.370841e-05 #>  [7829,] 1.246389e-05 1.271205e-05 1.462465e-05 1.479373e-05 1.348473e-05 #>  [7830,] 1.987030e-05 2.130120e-05 2.071627e-05 2.237952e-05 2.245147e-05 #>  [7831,] 1.296190e-05 1.347291e-05 1.366863e-05 1.380881e-05 1.464474e-05 #>  [7832,] 1.271509e-05 1.257736e-05 1.351797e-05 1.513007e-05 1.631129e-05 #>  [7833,] 2.887568e-05 2.822154e-05 2.032876e-05 2.185464e-05 3.531433e-05 #>  [7834,] 2.052976e-05 2.149152e-05 1.536296e-05 1.681625e-05 1.724272e-05 #>  [7835,] 1.826403e-05 1.222713e-05 1.388141e-05 1.238365e-05 1.438391e-05 #>  [7836,] 1.396349e-05 1.260775e-05 1.188256e-05 1.230583e-05 1.353218e-05 #>  [7837,] 4.727559e-05 4.775162e-05 3.818712e-05 3.400415e-05 3.317281e-05 #>  [7838,] 1.300082e-05 1.266540e-05 1.314994e-05 1.376439e-05 1.566501e-05 #>  [7839,] 1.358026e-05 1.305832e-05 1.433351e-05 1.388228e-05 1.508098e-05 #>  [7840,] 1.392445e-05 1.424593e-05 1.441720e-05 1.418182e-05 1.452316e-05 #>  [7841,] 1.028465e-05 1.076326e-05 1.054422e-05 1.130741e-05 1.120022e-05 #>  [7842,] 1.216241e-05 1.166635e-05 1.219933e-05 1.405454e-05 1.582813e-05 #>  [7843,] 2.113293e-05 2.805429e-05 5.643060e-05 5.480502e-05 4.706743e-05 #>  [7844,] 1.611640e-05 1.790375e-05 1.567793e-05 1.705134e-05 1.772472e-05 #>  [7845,] 1.253333e-05 1.455646e-05 1.480538e-05 1.446081e-05 1.546113e-05 #>  [7846,] 1.155339e-05 1.232270e-05 1.148058e-05 1.227243e-05 1.183385e-05 #>  [7847,] 1.162608e-05 1.166478e-05 1.191155e-05 1.165547e-05 1.249207e-05 #>  [7848,] 2.000876e-05 1.167249e-05 1.310494e-05 1.392639e-05 1.491700e-05 #>  [7849,] 1.131409e-05 1.127537e-05 1.119783e-05 1.228130e-05 1.168785e-05 #>  [7850,] 1.211867e-05 1.144322e-05 1.385944e-05 1.443350e-05 1.247736e-05 #>  [7851,] 1.492354e-05 1.420537e-05 1.451236e-05 1.480505e-05 1.422133e-05 #>  [7852,] 1.404037e-05 1.382183e-05 1.390627e-05 1.470519e-05 1.654237e-05 #>  [7853,] 1.621546e-05 1.468766e-05 1.419127e-05 1.550909e-05 1.588841e-05 #>  [7854,] 1.238245e-05 1.272474e-05 1.347333e-05 1.397444e-05 1.459727e-05 #>  [7855,] 1.137896e-05 1.127006e-05 1.204502e-05 1.364240e-05 1.316043e-05 #>  [7856,] 2.470243e-05 1.710033e-05 3.657766e-05 4.785507e-05 4.142361e-05 #>  [7857,] 2.505705e-05 2.844126e-05 1.828114e-05 1.947901e-05 2.085032e-05 #>  [7858,] 6.899592e-05 9.432525e-05 5.981178e-05 5.170746e-05 8.398226e-05 #>  [7859,] 4.533226e-05 5.102513e-05 6.515361e-05 8.025647e-05 6.858689e-05 #>  [7860,] 1.404531e-05 1.357558e-05 1.559547e-05 1.668950e-05 1.678407e-05 #>  [7861,] 1.362522e-05 1.540701e-05 2.027439e-05 1.842563e-05 1.568249e-05 #>  [7862,] 3.528107e-05 3.961906e-05 3.953656e-05 4.524643e-05 4.328444e-05 #>  [7863,] 1.076297e-05 1.151179e-05 1.205937e-05 1.248638e-05 1.287712e-05 #>  [7864,] 1.273379e-05 1.382713e-05 1.451921e-05 1.268425e-05 1.502367e-05 #>  [7865,] 1.263161e-05 1.407424e-05 1.269201e-05 1.350807e-05 1.367924e-05 #>  [7866,] 2.487621e-05 1.899878e-05 1.688383e-05 1.799460e-05 1.646725e-05 #>  [7867,] 4.252361e-05 3.292760e-05 2.695486e-05 1.832726e-05 1.670763e-05 #>  [7868,] 1.153602e-05 1.196053e-05 1.241811e-05 1.252491e-05 1.338894e-05 #>  [7869,] 3.060687e-05 3.835978e-05 4.028212e-05 4.190750e-05 5.527347e-05 #>  [7870,] 3.607049e-05 2.790523e-05 2.650468e-05 3.461841e-05 3.056849e-05 #>  [7871,] 2.100379e-05 2.967497e-05 2.470665e-05 2.393706e-05 2.747648e-05 #>  [7872,] 1.587150e-05 1.939499e-05 2.083243e-05 2.842019e-05 3.326214e-05 #>  [7873,] 2.092349e-05 2.538207e-05 2.029261e-05 2.423963e-05 2.428837e-05 #>  [7874,] 1.205558e-05 1.216902e-05 1.339848e-05 1.482495e-05 1.582355e-05 #>  [7875,] 1.815757e-05 1.916670e-05 3.304168e-05 4.063023e-05 3.538003e-05 #>  [7876,] 1.472973e-05 1.810933e-05 2.068576e-05 1.581429e-05 1.416832e-05 #>  [7877,] 7.177188e-05 5.909064e-05 5.014565e-05 7.492547e-05 5.900533e-05 #>  [7878,] 1.473340e-05 1.419703e-05 1.613055e-05 1.750023e-05 1.697410e-05 #>  [7879,] 1.793513e-05 1.549963e-05 1.925820e-05 2.101587e-05 1.542553e-05 #>  [7880,] 2.267619e-05 2.339047e-05 1.576407e-05 1.636091e-05 1.881719e-05 #>  [7881,] 1.246560e-05 1.353540e-05 1.565605e-05 1.563674e-05 1.570703e-05 #>  [7882,] 1.226429e-05 1.247196e-05 1.325361e-05 1.428843e-05 1.423927e-05 #>  [7883,] 1.259974e-05 1.381118e-05 1.553652e-05 1.411717e-05 1.521860e-05 #>  [7884,] 4.417439e-05 3.981244e-05 2.451829e-05 2.906220e-05 2.665674e-05 #>  [7885,] 4.901779e-05 6.436044e-05 4.667752e-05 4.207220e-05 3.764484e-05 #>  [7886,] 1.216222e-05 1.251142e-05 2.048991e-05 1.748625e-05 1.903147e-05 #>  [7887,] 4.834609e-05 2.430539e-05 4.065638e-05 2.030843e-05 1.515438e-05 #>  [7888,] 1.312610e-05 1.436453e-05 1.208598e-05 1.098940e-05 1.181238e-05 #>  [7889,] 1.071004e-05 1.128330e-05 1.101214e-05 1.191457e-05 1.164526e-05 #>  [7890,] 2.706619e-05 4.307099e-05 4.590116e-05 3.889099e-05 4.429056e-05 #>  [7891,] 1.226875e-05 1.245664e-05 1.513696e-05 1.452116e-05 1.239264e-05 #>  [7892,] 2.284943e-05 2.644450e-05 2.677512e-05 2.459305e-05 2.328282e-05 #>  [7893,] 1.106214e-05 1.150605e-05 1.308792e-05 1.367430e-05 1.619584e-05 #>  [7894,] 1.267503e-05 1.296483e-05 1.595787e-05 1.445013e-05 1.494018e-05 #>  [7895,] 3.944417e-05 8.523545e-05 4.379751e-05 2.758078e-05 2.181948e-05 #>  [7896,] 8.047395e-05 1.093078e-04 8.878303e-05 9.682564e-05 5.802120e-05 #>  [7897,] 1.288747e-05 1.400133e-05 1.844079e-05 1.740098e-05 1.919219e-05 #>  [7898,] 1.164106e-05 1.233254e-05 1.244209e-05 1.401659e-05 1.378816e-05 #>  [7899,] 1.128018e-05 1.038492e-05 1.065253e-05 1.141098e-05 1.258012e-05 #>  [7900,] 1.119729e-05 1.165281e-05 1.248502e-05 1.361736e-05 1.533725e-05 #>  [7901,] 2.929380e-04 3.909485e-04 7.272579e-04 6.159952e-04 3.672102e-04 #>  [7902,] 1.334933e-05 1.333726e-05 1.323568e-05 1.435496e-05 1.432976e-05 #>  [7903,] 5.062771e-05 3.091082e-05 4.300931e-05 7.786653e-05 6.418867e-05 #>  [7904,] 1.494144e-05 2.671284e-05 3.416034e-05 4.040994e-05 9.476399e-05 #>  [7905,] 1.862044e-05 1.777968e-05 1.855068e-05 2.109239e-05 2.012378e-05 #>  [7906,] 1.588291e-05 1.291959e-05 1.539988e-05 1.697094e-05 1.595363e-05 #>  [7907,] 1.304207e-05 1.181608e-05 1.305294e-05 1.226358e-05 1.305953e-05 #>  [7908,] 1.401376e-05 1.412457e-05 1.803012e-05 1.768374e-05 1.589382e-05 #>  [7909,] 2.184397e-05 1.348327e-05 1.586094e-05 1.750054e-05 1.622797e-05 #>  [7910,] 1.202827e-05 1.326368e-05 1.382811e-05 1.488711e-05 1.485726e-05 #>  [7911,] 1.519026e-04 1.281137e-04 9.796295e-05 1.291322e-04 8.137338e-05 #>  [7912,] 1.360257e-05 1.425917e-05 2.376626e-05 2.624304e-05 2.255228e-05 #>  [7913,] 9.672262e-05 4.221236e-05 2.795785e-05 4.255856e-05 4.676576e-05 #>  [7914,] 1.245135e-05 1.455388e-05 1.631681e-05 1.438275e-05 1.554070e-05 #>  [7915,] 1.272248e-05 1.248617e-05 1.755998e-05 2.137631e-05 2.389590e-05 #>  [7916,] 3.490015e-05 2.865696e-05 2.599783e-05 3.089980e-05 3.268076e-05 #>  [7917,] 1.250695e-04 1.105051e-04 1.483135e-04 1.334606e-04 2.329542e-04 #>  [7918,] 3.171111e-05 3.294763e-05 2.550612e-05 2.315094e-05 2.272492e-05 #>  [7919,] 5.722943e-05 4.622367e-05 4.029034e-05 3.621390e-05 2.837376e-05 #>  [7920,] 1.308669e-05 1.428789e-05 1.378782e-05 1.428749e-05 1.647412e-05 #>  [7921,] 3.112462e-05 3.679493e-05 2.439408e-05 2.676858e-05 2.707769e-05 #>  [7922,] 1.094602e-05 1.138309e-05 1.212714e-05 1.166734e-05 1.155303e-05 #>  [7923,] 1.352541e-05 1.452692e-05 1.640919e-05 1.672507e-05 1.871616e-05 #>  [7924,] 1.632464e-05 1.677608e-05 3.196020e-05 2.845042e-05 2.368597e-05 #>  [7925,] 2.527923e-05 3.195710e-05 4.919038e-05 4.791662e-05 3.428445e-05 #>  [7926,] 9.125137e-05 7.040996e-05 4.677571e-05 4.938403e-05 4.853146e-05 #>  [7927,] 1.284872e-05 1.287954e-05 1.376595e-05 1.502226e-05 1.508024e-05 #>  [7928,] 2.878671e-05 1.853615e-05 1.638292e-05 1.510519e-05 1.585652e-05 #>  [7929,] 3.985957e-05 3.976301e-05 2.976278e-05 3.365152e-05 2.725794e-05 #>  [7930,] 1.233487e-05 1.223411e-05 1.198746e-05 1.430931e-05 1.438189e-05 #>  [7931,] 3.865498e-04 3.491201e-04 4.015904e-05 4.840017e-05 9.389236e-05 #>  [7932,] 1.658480e-05 1.654226e-05 1.617468e-05 1.536490e-05 1.377065e-05 #>  [7933,] 5.205357e-04 4.148632e-04 2.757529e-04 3.168413e-04 3.350810e-04 #>  [7934,] 1.528552e-05 2.614059e-05 8.849778e-05 7.181946e-05 6.411752e-05 #>  [7935,] 1.262040e-05 1.140286e-05 1.188141e-05 1.358083e-05 1.490114e-05 #>  [7936,] 2.347125e-05 2.272891e-05 1.852807e-05 1.962576e-05 2.042258e-05 #>  [7937,] 1.453929e-05 1.506315e-05 1.525717e-05 1.618466e-05 1.633198e-05 #>  [7938,] 1.237475e-05 1.322026e-05 1.292476e-05 1.342743e-05 1.312761e-05 #>  [7939,] 1.460313e-05 1.522541e-05 1.955865e-05 1.762203e-05 1.749826e-05 #>  [7940,] 3.370979e-04 4.229249e-04 3.981983e-04 3.656402e-04 2.069626e-04 #>  [7941,] 1.410860e-05 1.531573e-05 1.670680e-05 1.745529e-05 1.645644e-05 #>  [7942,] 1.302369e-05 1.369604e-05 1.593178e-05 1.659759e-05 1.711823e-05 #>  [7943,] 1.721533e-05 1.541050e-05 1.623423e-05 1.694419e-05 1.612069e-05 #>  [7944,] 2.100961e-04 3.079144e-04 2.711847e-04 2.434530e-04 1.381307e-04 #>  [7945,] 1.678351e-04 2.001261e-04 1.798990e-04 1.971720e-04 1.524341e-04 #>  [7946,] 1.412048e-05 1.432773e-05 1.322346e-05 1.449472e-05 1.547689e-05 #>  [7947,] 2.043009e-04 8.529767e-05 7.684390e-05 4.699918e-05 1.305846e-04 #>  [7948,] 1.230870e-05 1.314872e-05 1.417716e-05 1.412335e-05 1.593256e-05 #>  [7949,] 1.505017e-05 1.645559e-05 1.702688e-05 1.712027e-05 1.575691e-05 #>  [7950,] 1.359595e-05 2.702671e-05 6.708824e-05 6.809487e-05 1.025941e-04 #>  [7951,] 1.339117e-05 1.398864e-05 1.267225e-05 1.348116e-05 1.362766e-05 #>  [7952,] 1.625804e-05 1.541682e-05 1.603094e-05 1.548749e-05 1.628384e-05 #>  [7953,] 1.117567e-05 1.198485e-05 1.175321e-05 1.218844e-05 1.389339e-05 #>  [7954,] 1.292530e-05 1.259365e-05 1.254981e-05 1.290069e-05 1.333085e-05 #>  [7955,] 1.266197e-05 1.303264e-05 1.314985e-05 1.364950e-05 1.487287e-05 #>  [7956,] 1.918495e-05 2.137582e-05 2.859973e-05 4.049056e-05 4.838734e-05 #>  [7957,] 1.683710e-05 2.042505e-05 2.016024e-05 1.937759e-05 1.769645e-05 #>  [7958,] 1.290134e-05 1.812247e-05 4.153052e-05 2.705705e-05 2.809324e-05 #>  [7959,] 1.576870e-05 1.442496e-05 1.416701e-05 1.384732e-05 1.594872e-05 #>  [7960,] 1.180467e-05 1.212213e-05 1.356090e-05 1.713426e-05 1.695310e-05 #>  [7961,] 2.051024e-05 1.888910e-05 1.989378e-05 2.187934e-05 2.079584e-05 #>  [7962,] 1.144169e-05 1.197839e-05 1.271513e-05 1.369388e-05 1.476524e-05 #>  [7963,] 1.364273e-05 1.491279e-05 1.857126e-05 1.765938e-05 2.585295e-05 #>  [7964,] 1.228741e-05 1.359352e-05 1.413246e-05 1.620805e-05 1.475399e-05 #>  [7965,] 1.503294e-05 1.804763e-05 1.336595e-05 1.273015e-05 1.598525e-05 #>  [7966,] 6.337173e-04 6.241723e-04 7.153346e-04 6.887673e-04 6.389776e-04 #>  [7967,] 2.038931e-04 1.848714e-04 2.671206e-04 3.150447e-04 2.044977e-04 #>  [7968,] 1.321280e-05 1.266515e-05 1.433971e-05 1.437998e-05 1.437199e-05 #>  [7969,] 1.068134e-04 7.823681e-05 7.791797e-05 9.502065e-05 1.477036e-04 #>  [7970,] 1.201339e-05 1.202208e-05 1.265356e-05 1.336461e-05 1.304566e-05 #>  [7971,] 1.370174e-05 1.340163e-05 1.397797e-05 1.421318e-05 1.415587e-05 #>  [7972,] 1.319856e-05 1.233140e-05 1.325614e-05 1.332873e-05 1.386075e-05 #>  [7973,] 1.219115e-05 1.247858e-05 1.396226e-05 1.518102e-05 1.752328e-05 #>  [7974,] 1.154326e-05 1.142003e-05 1.375933e-05 1.262463e-05 1.281426e-05 #>  [7975,] 1.281403e-05 1.246047e-05 1.339522e-05 1.476223e-05 1.496017e-05 #>  [7976,] 1.327829e-05 1.208773e-05 1.561093e-05 1.899893e-05 1.841837e-05 #>  [7977,] 1.430017e-05 1.345742e-05 1.375167e-05 1.488910e-05 1.582730e-05 #>  [7978,] 1.311996e-05 1.280148e-05 1.430944e-05 1.365667e-05 1.401889e-05 #>  [7979,] 1.373606e-05 1.332400e-05 1.448050e-05 1.634866e-05 1.478525e-05 #>  [7980,] 1.436769e-05 1.413914e-05 1.372053e-05 1.402047e-05 1.485428e-05 #>  [7981,] 1.259801e-05 1.178836e-05 1.245356e-05 1.305731e-05 1.440769e-05 #>  [7982,] 1.483888e-05 1.529083e-05 1.523616e-05 2.168962e-05 2.936130e-05 #>  [7983,] 1.364752e-05 1.339632e-05 1.328923e-05 1.533362e-05 1.499600e-05 #>  [7984,] 1.369983e-05 1.336051e-05 1.334200e-05 1.403316e-05 1.463096e-05 #>  [7985,] 1.378447e-05 1.314557e-05 1.302599e-05 1.545219e-05 1.412944e-05 #>  [7986,] 1.544816e-05 1.802649e-05 2.242900e-05 1.894678e-05 3.745855e-05 #>  [7987,] 2.155525e-05 2.082770e-05 2.176193e-05 2.845559e-05 4.115294e-05 #>  [7988,] 1.444864e-05 1.382766e-05 1.438420e-05 1.466642e-05 1.502035e-05 #>  [7989,] 1.493109e-04 1.223483e-04 1.363456e-04 1.647845e-04 1.322295e-04 #>  [7990,] 1.325909e-05 1.287504e-05 1.500519e-05 1.563642e-05 1.473553e-05 #>  [7991,] 1.380909e-05 1.341359e-05 1.532725e-05 1.440188e-05 1.468962e-05 #>  [7992,] 4.202550e-05 5.123477e-05 9.062370e-05 7.247990e-05 6.088267e-05 #>  [7993,] 4.267315e-05 1.747425e-05 1.686909e-05 2.046922e-05 2.603939e-05 #>  [7994,] 6.940016e-05 4.133745e-05 2.708051e-05 3.272593e-05 7.230763e-05 #>  [7995,] 1.742467e-05 1.699209e-05 2.087268e-05 2.045457e-05 2.037632e-05 #>  [7996,] 1.009308e-04 7.290557e-05 1.154049e-04 1.185186e-04 9.360520e-05 #>  [7997,] 1.117748e-05 1.091980e-05 1.198212e-05 1.362012e-05 1.503541e-05 #>  [7998,] 1.248207e-05 1.328691e-05 1.366566e-05 1.460144e-05 1.557357e-05 #>  [7999,] 2.629697e-05 2.028174e-05 1.919504e-05 1.972049e-05 1.929727e-05 #>  [8000,] 1.236334e-05 1.204696e-05 1.192605e-05 1.360995e-05 1.504510e-05 #>  [8001,] 1.475024e-05 1.513937e-05 1.242043e-05 1.570015e-05 1.570063e-05 #>  [8002,] 1.258404e-05 1.346121e-05 1.534667e-05 1.536291e-05 1.462787e-05 #>  [8003,] 1.291188e-05 1.498812e-05 1.429797e-05 1.462032e-05 1.474482e-05 #>  [8004,] 1.288309e-05 1.365191e-05 1.466098e-05 1.497902e-05 1.353570e-05 #>  [8005,] 1.093591e-05 1.239515e-05 1.197067e-05 1.107730e-05 1.096137e-05 #>  [8006,] 1.266701e-05 1.055294e-05 1.156905e-05 1.223416e-05 1.326419e-05 #>  [8007,] 1.322736e-05 1.372518e-05 1.418637e-05 1.537339e-05 1.661836e-05 #>  [8008,] 1.272542e-05 1.230846e-05 1.407522e-05 1.324505e-05 1.391236e-05 #>  [8009,] 8.196409e-05 6.679640e-05 1.518665e-05 1.547955e-05 1.505078e-05 #>  [8010,] 1.490799e-05 1.442599e-05 1.681265e-05 1.508447e-05 1.512029e-05 #>  [8011,] 1.499294e-05 1.577826e-05 1.615462e-05 1.656225e-05 1.902626e-05 #>  [8012,] 1.102525e-05 1.111881e-05 1.148274e-05 1.224888e-05 1.258762e-05 #>  [8013,] 1.585241e-05 1.537109e-05 1.498269e-05 1.636943e-05 1.802210e-05 #>  [8014,] 2.103890e-05 2.002270e-05 1.900479e-05 1.608775e-05 2.019141e-05 #>  [8015,] 1.186264e-05 1.208296e-05 1.268314e-05 1.238597e-05 1.191879e-05 #>  [8016,] 7.839567e-05 1.001505e-04 2.717357e-04 2.119529e-04 1.056564e-04 #>  [8017,] 1.003864e-05 1.212427e-05 1.398514e-05 1.232046e-05 1.319880e-05 #>  [8018,] 1.205668e-05 1.239312e-05 1.303061e-05 1.347272e-05 1.461833e-05 #>  [8019,] 1.013449e-05 1.080518e-05 1.117573e-05 1.165866e-05 1.081200e-05 #>  [8020,] 1.073613e-05 1.032048e-05 1.093428e-05 1.164531e-05 1.205155e-05 #>  [8021,] 1.980762e-05 1.589930e-05 1.725482e-05 1.513832e-05 1.563825e-05 #>  [8022,] 6.951253e-05 4.254232e-05 4.667830e-05 9.453044e-05 9.658383e-05 #>  [8023,] 2.077566e-05 2.043494e-05 2.890639e-05 2.993416e-05 2.730186e-05 #>  [8024,] 1.206781e-05 1.337025e-05 1.446083e-05 1.558508e-05 1.467360e-05 #>  [8025,] 1.855743e-05 2.331775e-05 4.201215e-05 2.520992e-05 2.280666e-05 #>  [8026,] 1.018430e-05 1.324816e-05 1.986850e-05 1.488558e-05 1.353046e-05 #>  [8027,] 1.459713e-05 1.580727e-05 1.550354e-05 1.670336e-05 1.724528e-05 #>  [8028,] 1.281195e-05 1.268092e-05 1.364432e-05 1.430420e-05 1.519496e-05 #>  [8029,] 1.233919e-05 1.318326e-05 1.450093e-05 1.364125e-05 1.444180e-05 #>  [8030,] 1.175366e-05 1.164424e-05 1.338401e-05 1.550599e-05 1.716207e-05 #>  [8031,] 1.508119e-05 1.787964e-05 2.354639e-05 2.653204e-05 2.431199e-05 #>  [8032,] 1.181316e-05 1.133799e-05 1.226844e-05 1.192771e-05 1.198286e-05 #>  [8033,] 1.468851e-05 1.538456e-05 1.480982e-05 1.514407e-05 1.398645e-05 #>  [8034,] 1.262573e-05 1.262736e-05 1.444069e-05 1.598340e-05 1.521884e-05 #>  [8035,] 1.294728e-05 1.315306e-05 1.440815e-05 1.528001e-05 1.488319e-05 #>  [8036,] 1.394288e-05 1.500433e-05 1.829001e-05 1.715406e-05 1.535963e-05 #>  [8037,] 9.983983e-06 9.836453e-06 1.103617e-05 1.125468e-05 1.077558e-05 #>  [8038,] 1.064777e-05 1.088973e-05 1.136014e-05 1.129735e-05 1.187698e-05 #>  [8039,] 1.179664e-05 1.192610e-05 1.215800e-05 1.430279e-05 1.604629e-05 #>  [8040,] 1.483287e-05 1.636479e-05 1.734659e-05 1.604552e-05 1.596068e-05 #>  [8041,] 1.285292e-05 1.376706e-05 1.349664e-05 1.322741e-05 1.342287e-05 #>  [8042,] 1.839208e-05 1.998151e-05 2.356788e-05 2.443433e-05 2.203758e-05 #>  [8043,] 1.836578e-05 1.746015e-05 2.048441e-05 1.930350e-05 2.384975e-05 #>  [8044,] 1.232815e-05 1.323626e-05 1.407232e-05 1.400766e-05 1.532350e-05 #>  [8045,] 1.266829e-05 1.347542e-05 1.422150e-05 1.336999e-05 1.506237e-05 #>  [8046,] 1.466032e-05 1.516157e-05 1.343442e-05 1.347973e-05 1.553971e-05 #>  [8047,] 1.511347e-05 1.787774e-05 2.643341e-05 3.111942e-05 4.964534e-05 #>  [8048,] 3.910709e-04 1.995432e-04 2.964432e-05 2.708336e-05 1.854247e-05 #>  [8049,] 7.506853e-04 7.662281e-04 5.862148e-04 5.564488e-04 8.075790e-04 #>  [8050,] 1.250092e-05 1.192164e-05 1.175097e-05 1.255298e-05 1.316297e-05 #>  [8051,] 4.164686e-05 2.499252e-05 2.752523e-05 3.703413e-05 4.338332e-05 #>  [8052,] 2.029770e-05 2.708438e-05 4.312530e-05 7.875460e-05 1.496999e-04 #>  [8053,] 1.565026e-05 1.371829e-05 1.394634e-05 1.556558e-05 1.731249e-05 #>  [8054,] 1.678765e-05 2.052352e-05 1.911571e-05 2.229532e-05 2.111833e-05 #>  [8055,] 2.052281e-05 2.858547e-05 2.761073e-05 2.446176e-05 3.942747e-05 #>  [8056,] 3.242830e-05 2.284738e-05 1.931694e-05 2.114821e-05 1.921709e-05 #>  [8057,] 1.315489e-05 1.211458e-05 1.231811e-05 1.391725e-05 1.301719e-05 #>  [8058,] 1.389475e-05 1.265273e-05 1.345831e-05 1.489423e-05 1.532106e-05 #>  [8059,] 1.107165e-05 1.083119e-05 1.058389e-05 1.126928e-05 1.148851e-05 #>  [8060,] 4.345936e-05 4.526979e-05 6.409624e-05 4.345116e-05 3.092320e-05 #>  [8061,] 1.482830e-05 1.470466e-05 1.295496e-05 1.287058e-05 1.360949e-05 #>  [8062,] 1.230652e-05 1.376383e-05 1.486515e-05 1.486788e-05 1.553100e-05 #>  [8063,] 1.131031e-05 1.177672e-05 1.122824e-05 1.200939e-05 1.307208e-05 #>  [8064,] 1.712309e-05 1.796911e-05 1.488109e-05 1.543677e-05 1.576173e-05 #>  [8065,] 1.358007e-05 1.295574e-05 1.257245e-05 1.507004e-05 1.609457e-05 #>  [8066,] 1.562769e-05 1.546715e-05 1.545364e-05 1.664530e-05 1.680651e-05 #>  [8067,] 2.566054e-05 8.837792e-05 1.566129e-04 8.319108e-05 1.521450e-05 #>  [8068,] 1.179643e-05 1.882813e-05 8.453226e-05 2.450760e-05 1.524972e-05 #>  [8069,] 1.297040e-05 1.472090e-05 8.269626e-05 2.382896e-05 1.694823e-05 #>  [8070,] 1.295484e-05 1.495763e-05 5.515507e-05 1.674636e-05 1.397248e-05 #>  [8071,] 9.522571e-05 9.748977e-05 3.594858e-05 3.396828e-05 3.786713e-05 #>  [8072,] 4.385513e-05 4.111748e-05 2.677216e-05 3.351739e-05 3.782584e-05 #>  [8073,] 2.550561e-05 1.847096e-05 2.102158e-05 1.971737e-05 2.149531e-05 #>  [8074,] 1.135446e-05 1.143660e-05 1.130548e-05 1.178739e-05 1.237630e-05 #>  [8075,] 1.266775e-05 1.119828e-05 1.264423e-05 1.455029e-05 1.505251e-05 #>  [8076,] 1.672754e-05 1.569725e-05 1.669005e-05 1.845128e-05 2.118063e-05 #>  [8077,] 1.699138e-05 2.062511e-05 3.047087e-05 2.285216e-05 2.477343e-05 #>  [8078,] 1.202223e-05 1.171899e-05 1.160620e-05 1.195437e-05 1.229111e-05 #>  [8079,] 1.304889e-05 1.234771e-05 1.270754e-05 1.416161e-05 1.463360e-05 #>  [8080,] 1.417717e-05 1.395872e-05 1.448655e-05 1.483060e-05 1.500820e-05 #>  [8081,] 2.949898e-05 1.326830e-05 1.321191e-05 1.389970e-05 1.349486e-05 #>  [8082,] 3.078848e-05 7.501397e-05 1.898545e-05 1.262430e-05 1.315417e-05 #>  [8083,] 1.390823e-05 2.207756e-05 5.742815e-05 4.781785e-05 9.274822e-05 #>  [8084,] 1.476694e-05 1.585789e-05 1.866319e-05 2.060959e-05 2.325240e-05 #>  [8085,] 1.365304e-05 1.420973e-05 1.208724e-05 1.262075e-05 1.283949e-05 #>  [8086,] 1.446893e-05 1.484671e-05 2.099993e-05 2.062298e-05 2.120505e-05 #>  [8087,] 1.403639e-05 1.702797e-05 1.691419e-05 1.771200e-05 1.772612e-05 #>  [8088,] 3.080511e-05 3.647621e-05 2.895230e-05 4.024890e-05 8.295919e-05 #>  [8089,] 9.428954e-05 1.590241e-04 1.196993e-04 1.261993e-04 8.652104e-05 #>  [8090,] 1.321938e-05 1.563344e-05 1.770908e-05 2.114523e-05 2.556023e-05 #>  [8091,] 1.318324e-05 1.382282e-05 1.366951e-05 1.220283e-05 1.251851e-05 #>  [8092,] 1.176088e-05 1.235140e-05 1.315834e-05 1.353743e-05 1.462442e-05 #>  [8093,] 1.151501e-05 1.173685e-05 1.185339e-05 1.365897e-05 1.487124e-05 #>  [8094,] 1.196441e-05 1.378609e-05 1.411961e-05 1.506654e-05 1.640575e-05 #>  [8095,] 1.942044e-05 2.002734e-05 1.988710e-05 2.093158e-05 2.111719e-05 #>  [8096,] 1.243252e-05 1.235043e-05 1.224072e-05 1.530566e-05 1.516315e-05 #>  [8097,] 1.175949e-05 1.220521e-05 1.071570e-05 1.073667e-05 1.112801e-05 #>  [8098,] 1.135059e-05 1.140722e-05 1.172208e-05 1.219437e-05 1.279059e-05 #>  [8099,] 1.682448e-05 1.649640e-05 1.725155e-05 2.206204e-05 2.326792e-05 #>  [8100,] 1.351202e-05 1.310718e-05 1.426492e-05 1.477496e-05 1.460705e-05 #>  [8101,] 1.418005e-05 1.344294e-05 1.583981e-05 1.671695e-05 1.739487e-05 #>  [8102,] 1.439386e-05 1.308305e-05 1.399438e-05 1.507347e-05 1.519330e-05 #>  [8103,] 1.353819e-05 1.389296e-05 1.526558e-05 1.459314e-05 1.505682e-05 #>  [8104,] 1.309631e-05 1.325205e-05 1.843716e-05 1.780311e-05 1.777504e-05 #>  [8105,] 1.644923e-05 1.644350e-05 1.641095e-05 1.610464e-05 1.543029e-05 #>  [8106,] 1.278553e-05 1.464202e-05 1.236987e-05 1.406269e-05 1.324110e-05 #>  [8107,] 7.598222e-05 9.197625e-05 7.880831e-05 6.871345e-05 4.807565e-05 #>  [8108,] 1.301371e-05 1.293835e-05 1.468405e-05 1.528229e-05 1.712175e-05 #>  [8109,] 1.251068e-05 1.301632e-05 1.375234e-05 1.296041e-05 1.385373e-05 #>  [8110,] 1.505803e-05 1.334222e-05 1.254275e-05 1.521521e-05 1.377479e-05 #>  [8111,] 8.971499e-05 8.644081e-05 8.547998e-05 1.450473e-04 1.569301e-04 #>  [8112,] 2.754134e-05 4.720769e-05 5.209299e-05 4.040666e-05 4.428620e-05 #>  [8113,] 1.456290e-05 1.576838e-05 1.408664e-05 1.284604e-05 1.383062e-05 #>  [8114,] 3.989881e-05 4.936985e-05 4.577189e-05 5.100601e-05 7.918242e-05 #>  [8115,] 1.125361e-05 1.067443e-05 1.144925e-05 1.157953e-05 1.287441e-05 #>  [8116,] 1.735774e-04 2.620996e-04 2.289943e-05 2.132033e-05 1.979411e-05 #>  [8117,] 1.158593e-05 1.082624e-05 1.135045e-05 1.166515e-05 1.318192e-05 #>  [8118,] 1.639621e-05 1.643847e-05 1.561131e-05 1.610981e-05 1.632419e-05 #>  [8119,] 1.139898e-05 1.162558e-05 1.013129e-05 1.082516e-05 1.071590e-05 #>  [8120,] 1.421070e-05 1.288930e-05 1.472384e-05 1.390987e-05 1.509091e-05 #>  [8121,] 4.436066e-05 8.308437e-05 4.435982e-04 3.818186e-04 3.113306e-04 #>  [8122,] 7.702888e-05 6.762626e-05 1.271211e-04 1.210729e-04 1.125682e-04 #>  [8123,] 5.050459e-05 4.510139e-05 2.784383e-05 3.349320e-05 3.859983e-05 #>  [8124,] 5.422003e-05 5.775075e-05 7.449874e-05 6.538170e-05 5.566645e-05 #>  [8125,] 1.213557e-05 1.219882e-05 1.176716e-05 1.217021e-05 1.235364e-05 #>  [8126,] 3.320978e-05 1.783092e-05 2.363699e-05 2.811611e-05 2.017041e-05 #>  [8127,] 1.565474e-05 2.497169e-05 4.271751e-05 4.551033e-05 1.131814e-04 #>  [8128,] 1.283801e-05 1.383448e-05 1.380246e-05 1.386446e-05 1.403991e-05 #>  [8129,] 1.255470e-05 1.376899e-05 1.353312e-05 1.450246e-05 1.386071e-05 #>  [8130,] 1.295801e-05 1.291126e-05 1.524399e-05 1.447143e-05 1.541605e-05 #>  [8131,] 1.856089e-04 1.965652e-04 1.435163e-04 1.496799e-04 1.233481e-04 #>  [8132,] 4.551056e-05 5.064153e-05 2.855192e-05 3.919961e-05 4.313670e-05 #>  [8133,] 1.049230e-05 1.055560e-05 1.052259e-05 1.086114e-05 1.138056e-05 #>  [8134,] 1.785255e-05 1.553806e-05 1.552664e-05 1.796549e-05 1.938019e-05 #>  [8135,] 1.787435e-05 1.900209e-05 1.578682e-05 1.892047e-05 2.093103e-05 #>  [8136,] 1.093282e-05 1.388328e-05 2.807142e-05 2.037400e-05 2.152499e-05 #>  [8137,] 3.026377e-04 1.920964e-04 8.600164e-05 1.042282e-04 1.628609e-04 #>  [8138,] 1.191501e-05 1.251050e-05 1.295174e-05 1.424835e-05 1.551339e-05 #>  [8139,] 1.977824e-05 2.410604e-05 2.413631e-05 4.385337e-05 3.952875e-05 #>  [8140,] 2.667419e-05 2.117449e-05 4.088046e-05 4.162993e-05 5.843988e-05 #>  [8141,] 1.888336e-05 1.853840e-05 2.572983e-05 2.062011e-05 1.786594e-05 #>  [8142,] 1.155818e-05 1.239896e-05 1.754072e-05 1.537491e-05 1.469492e-05 #>  [8143,] 1.403573e-05 1.482157e-05 1.387429e-05 1.484098e-05 1.756563e-05 #>  [8144,] 1.329252e-05 1.301553e-05 1.409927e-05 1.474184e-05 1.547329e-05 #>  [8145,] 1.210724e-05 1.377168e-05 1.453446e-05 1.397100e-05 1.466011e-05 #>  [8146,] 1.149495e-05 1.022270e-05 9.573563e-06 1.091341e-05 1.123702e-05 #>  [8147,] 1.026956e-05 1.153792e-05 1.163704e-05 1.187828e-05 1.189349e-05 #>  [8148,] 2.036084e-05 2.007855e-05 1.782715e-05 1.780612e-05 1.928297e-05 #>  [8149,] 6.913986e-05 1.408809e-04 1.479746e-04 1.427999e-04 2.166774e-04 #>  [8150,] 2.686418e-05 3.672440e-05 4.212884e-05 6.165796e-05 5.926670e-05 #>  [8151,] 1.122057e-04 6.723828e-05 5.081548e-05 4.430586e-05 4.657587e-05 #>  [8152,] 1.507996e-05 1.475242e-05 1.826874e-05 1.574717e-05 1.560082e-05 #>  [8153,] 1.238847e-05 1.206538e-05 1.288805e-05 1.327854e-05 1.231438e-05 #>  [8154,] 1.345827e-05 1.256455e-05 1.354636e-05 1.350074e-05 1.379728e-05 #>  [8155,] 1.529668e-05 1.937320e-05 1.638369e-05 2.300748e-05 2.917249e-05 #>  [8156,] 1.267753e-05 1.208133e-05 1.576162e-05 1.781849e-05 2.133920e-05 #>  [8157,] 1.285213e-05 1.201521e-05 1.290691e-05 1.471639e-05 1.545474e-05 #>  [8158,] 1.390783e-05 1.363697e-05 1.433694e-05 1.413938e-05 1.527539e-05 #>  [8159,] 1.225849e-05 1.298855e-05 1.410529e-05 2.135899e-05 2.294756e-05 #>  [8160,] 1.191519e-05 1.185578e-05 1.373516e-05 1.737695e-05 1.621603e-05 #>  [8161,] 2.575685e-05 3.394367e-05 6.354425e-05 4.890663e-05 3.235199e-05 #>  [8162,] 1.179491e-04 1.884832e-04 3.091977e-04 1.966544e-04 8.194460e-05 #>  [8163,] 5.234108e-05 6.002332e-05 5.577174e-05 4.554356e-05 3.385746e-05 #>  [8164,] 1.501177e-05 1.416768e-05 1.483526e-05 1.675021e-05 1.623662e-05 #>  [8165,] 1.516086e-05 1.495337e-05 2.321798e-05 2.182213e-05 2.123315e-05 #>  [8166,] 1.204454e-05 1.358897e-05 1.432264e-05 1.352535e-05 1.494515e-05 #>  [8167,] 1.243368e-05 1.352331e-05 1.300178e-05 1.405517e-05 1.452122e-05 #>  [8168,] 1.153987e-05 1.258109e-05 1.374226e-05 1.401500e-05 1.544868e-05 #>  [8169,] 1.275283e-05 1.403857e-05 1.613488e-05 1.402609e-05 1.480088e-05 #>  [8170,] 3.820288e-04 6.820955e-04 2.635092e-04 3.867265e-04 2.492546e-04 #>  [8171,] 1.484609e-05 1.613993e-05 1.536096e-05 1.563271e-05 1.547633e-05 #>  [8172,] 1.418122e-05 1.367697e-05 1.477352e-05 1.687025e-05 1.617587e-05 #>  [8173,] 1.347139e-04 8.549521e-05 1.336228e-04 1.735249e-04 1.659327e-04 #>  [8174,] 1.377656e-05 1.330550e-05 1.421862e-05 1.565783e-05 1.567467e-05 #>  [8175,] 1.455200e-05 1.356470e-05 1.459705e-05 1.594241e-05 1.567336e-05 #>  [8176,] 1.537091e-05 2.035377e-05 1.277992e-05 1.176585e-05 1.450968e-05 #>  [8177,] 1.206225e-05 1.195795e-05 1.458270e-05 1.569039e-05 1.554332e-05 #>  [8178,] 1.276834e-05 1.263980e-05 1.362351e-05 1.398651e-05 1.483574e-05 #>  [8179,] 2.228231e-05 2.203376e-05 1.946575e-05 2.075347e-05 2.179896e-05 #>  [8180,] 1.202826e-05 1.265861e-05 1.180031e-05 1.180849e-05 1.235516e-05 #>  [8181,] 1.672373e-04 1.443681e-04 1.496989e-04 2.140481e-04 1.873395e-04 #>  [8182,] 1.572914e-05 1.571329e-05 1.584532e-05 1.596530e-05 1.579221e-05 #>  [8183,] 1.935745e-05 2.528683e-05 2.019104e-05 2.135100e-05 2.045814e-05 #>  [8184,] 1.209753e-05 1.183948e-05 1.283336e-05 1.311900e-05 1.238897e-05 #>  [8185,] 2.316990e-05 1.570168e-05 1.330662e-05 1.341782e-05 1.967521e-05 #>  [8186,] 1.228656e-05 1.259034e-05 1.612767e-05 1.830627e-05 1.536097e-05 #>  [8187,] 9.452143e-05 1.613859e-04 1.669136e-04 1.359414e-04 1.260662e-04 #>  [8188,] 1.632356e-04 1.603266e-04 1.895100e-04 2.430851e-04 2.862792e-04 #>  [8189,] 1.140870e-05 1.205832e-05 1.142270e-05 1.246439e-05 1.123455e-05 #>  [8190,] 1.264510e-05 1.203121e-05 1.223276e-05 1.417132e-05 1.571782e-05 #>  [8191,] 3.952138e-04 4.149155e-04 3.244565e-04 3.456732e-04 3.020996e-04 #>  [8192,] 1.214950e-04 2.627477e-04 5.260483e-05 4.005351e-05 1.622706e-05 #>  [8193,] 1.479358e-05 1.910140e-05 1.208868e-05 1.190737e-05 1.240315e-05 #>  [8194,] 2.903093e-05 4.004838e-05 5.508563e-05 4.688299e-05 3.550735e-05 #>  [8195,] 1.205014e-05 1.254376e-05 1.255786e-05 1.314190e-05 1.343288e-05 #>  [8196,] 1.482722e-05 1.292769e-05 1.404532e-05 1.553605e-05 1.473973e-05 #>  [8197,] 9.378547e-04 9.996184e-04 4.261800e-04 5.871779e-04 7.572331e-04 #>  [8198,] 1.800320e-05 1.974575e-05 3.831830e-05 3.720733e-05 3.429083e-05 #>  [8199,] 1.338602e-05 1.378120e-05 1.494997e-05 1.641794e-05 1.809879e-05 #>  [8200,] 1.406463e-05 1.313102e-05 1.442975e-05 1.575964e-05 1.617631e-05 #>  [8201,] 1.187782e-05 1.164359e-05 1.284448e-05 1.463882e-05 1.504046e-05 #>  [8202,] 1.132455e-05 1.071556e-05 1.122324e-05 1.234133e-05 1.264723e-05 #>  [8203,] 1.555913e-05 1.557115e-05 1.586769e-05 1.922709e-05 2.004646e-05 #>  [8204,] 1.478787e-05 1.279227e-05 1.473414e-05 1.604595e-05 1.511167e-05 #>  [8205,] 1.772235e-04 2.058301e-04 1.591957e-04 1.157423e-04 9.217153e-05 #>  [8206,] 1.620891e-05 1.937362e-05 3.949262e-05 3.406154e-05 3.372390e-05 #>  [8207,] 1.391320e-05 1.380262e-05 1.340944e-05 1.530063e-05 1.575277e-05 #>  [8208,] 1.361865e-05 1.322807e-05 1.480057e-05 1.584331e-05 1.555891e-05 #>  [8209,] 1.688458e-05 1.817309e-05 1.822948e-05 2.023964e-05 1.962553e-05 #>  [8210,] 2.670420e-05 3.101414e-05 2.423199e-05 2.811710e-05 2.449501e-05 #>  [8211,] 1.089956e-05 1.107691e-05 1.128459e-05 1.179223e-05 1.181077e-05 #>  [8212,] 1.147013e-05 1.079805e-05 1.240831e-05 1.390159e-05 1.486313e-05 #>  [8213,] 1.203727e-05 1.199330e-05 1.516852e-05 1.428201e-05 1.558986e-05 #>  [8214,] 1.171375e-05 1.225163e-05 1.280263e-05 1.251534e-05 1.322974e-05 #>  [8215,] 1.260408e-05 1.191617e-05 1.223092e-05 1.392159e-05 1.420824e-05 #>  [8216,] 1.348544e-05 1.585405e-05 2.314620e-05 2.709914e-05 1.985863e-05 #>  [8217,] 1.345804e-05 1.338277e-05 1.356555e-05 1.418441e-05 1.462467e-05 #>  [8218,] 1.450307e-05 1.395593e-05 1.406357e-05 1.613266e-05 1.453548e-05 #>  [8219,] 1.735017e-05 1.747035e-05 1.917691e-05 2.218314e-05 2.219230e-05 #>  [8220,] 1.876200e-05 2.062353e-05 1.754475e-05 1.859498e-05 1.781394e-05 #>  [8221,] 2.778841e-05 3.600602e-05 8.892447e-05 7.353585e-05 5.342586e-05 #>  [8222,] 1.837171e-05 1.761648e-05 1.730465e-05 1.960896e-05 1.742671e-05 #>  [8223,] 2.599288e-05 4.348580e-05 4.013591e-05 3.823373e-05 3.492082e-05 #>  [8224,] 1.452003e-05 1.319945e-05 1.457910e-05 1.394416e-05 1.332173e-05 #>  [8225,] 1.332066e-05 1.333734e-05 1.398803e-05 1.526865e-05 1.601056e-05 #>  [8226,] 1.262948e-05 1.306938e-05 1.340249e-05 1.393439e-05 1.610839e-05 #>  [8227,] 2.194626e-05 2.754316e-05 4.028494e-05 3.270883e-05 3.858890e-05 #>  [8228,] 1.406595e-05 1.494815e-05 2.367512e-05 2.299983e-05 2.030641e-05 #>  [8229,] 2.555465e-05 2.198733e-05 2.780790e-05 3.369464e-05 2.985497e-05 #>  [8230,] 3.286923e-05 3.496533e-05 6.067905e-05 5.859456e-05 4.443466e-05 #>  [8231,] 1.496110e-05 1.474375e-05 1.578201e-05 1.683908e-05 1.682076e-05 #>  [8232,] 1.322895e-05 1.394078e-05 1.480963e-05 1.531844e-05 1.419304e-05 #>  [8233,] 2.462864e-05 2.735853e-05 1.918288e-05 1.976517e-05 2.090964e-05 #>  [8234,] 1.022165e-05 1.005797e-05 1.127759e-05 1.061100e-05 9.960685e-06 #>  [8235,] 1.191374e-05 1.257763e-05 1.378087e-05 1.354818e-05 1.465437e-05 #>  [8236,] 1.192904e-05 1.174900e-05 1.281198e-05 1.400306e-05 1.504601e-05 #>  [8237,] 2.164042e-05 2.673269e-05 5.222112e-05 7.091044e-05 1.356599e-04 #>  [8238,] 3.703567e-05 3.510285e-05 1.534013e-05 1.579857e-05 1.698324e-05 #>  [8239,] 1.234141e-05 1.288657e-05 1.243353e-05 1.484320e-05 1.427728e-05 #>  [8240,] 1.390783e-05 1.375208e-05 1.571937e-05 1.550399e-05 1.416574e-05 #>  [8241,] 1.311253e-05 1.412500e-05 1.478551e-05 1.581287e-05 1.479899e-05 #>  [8242,] 1.504389e-05 1.810206e-05 1.301106e-05 1.515967e-05 1.473606e-05 #>  [8243,] 1.364940e-05 1.297096e-05 1.282883e-05 1.378474e-05 1.301234e-05 #>  [8244,] 2.754495e-05 3.145382e-05 2.333875e-05 2.508487e-05 2.483998e-05 #>  [8245,] 2.471681e-05 5.606433e-05 2.109416e-05 2.184470e-05 5.101732e-05 #>  [8246,] 2.443912e-05 2.847383e-05 3.307575e-05 3.726395e-05 2.420890e-05 #>  [8247,] 8.532680e-05 9.120965e-05 7.925778e-05 8.984043e-05 6.365925e-05 #>  [8248,] 2.367005e-05 2.119627e-05 2.309565e-05 2.360879e-05 2.486808e-05 #>  [8249,] 1.644732e-05 1.409335e-05 1.496827e-05 1.541321e-05 1.539656e-05 #>  [8250,] 1.070726e-05 9.938081e-06 1.115169e-05 1.062844e-05 1.158983e-05 #>  [8251,] 1.246845e-05 1.136926e-05 1.142055e-05 1.453202e-05 1.427964e-05 #>  [8252,] 1.054657e-05 1.129583e-05 1.151337e-05 1.156199e-05 1.180541e-05 #>  [8253,] 1.212186e-05 1.371657e-05 1.286525e-05 1.280283e-05 1.404049e-05 #>  [8254,] 1.129427e-05 1.101629e-05 1.183804e-05 1.418162e-05 1.505013e-05 #>  [8255,] 1.233954e-05 1.248315e-05 1.369320e-05 1.494615e-05 1.486820e-05 #>  [8256,] 1.218542e-05 1.314367e-05 1.356417e-05 1.283569e-05 1.481866e-05 #>  [8257,] 1.402819e-05 1.293155e-05 1.287753e-05 1.241363e-05 1.357993e-05 #>  [8258,] 1.776772e-05 2.392155e-05 2.155247e-05 1.946566e-05 2.282319e-05 #>  [8259,] 1.253006e-05 1.340520e-05 1.249757e-05 1.314591e-05 1.436251e-05 #>  [8260,] 1.355850e-05 1.458064e-05 1.888886e-05 2.464301e-05 2.814212e-05 #>  [8261,] 9.953612e-06 9.908667e-06 1.090062e-05 1.077405e-05 1.048618e-05 #>  [8262,] 1.565311e-05 1.709387e-05 1.488796e-05 1.707471e-05 2.527168e-05 #>  [8263,] 1.208083e-05 1.147488e-05 1.237596e-05 1.364394e-05 1.470421e-05 #>  [8264,] 1.229359e-05 1.231213e-05 1.337471e-05 1.397476e-05 1.506348e-05 #>  [8265,] 1.293945e-05 1.486802e-05 1.484788e-05 1.338505e-05 1.464862e-05 #>  [8266,] 1.333358e-05 1.454127e-05 1.286351e-05 1.353450e-05 1.370635e-05 #>  [8267,] 1.333483e-05 1.333607e-05 1.804204e-05 1.794786e-05 1.619542e-05 #>  [8268,] 1.251751e-05 1.375805e-05 1.844053e-05 1.803884e-05 1.544514e-05 #>  [8269,] 1.298621e-05 1.283873e-05 1.241362e-05 1.275589e-05 1.302049e-05 #>  [8270,] 2.556714e-05 2.724504e-05 2.119770e-05 2.091265e-05 2.134291e-05 #>  [8271,] 1.359631e-05 1.534384e-05 1.743186e-05 1.787972e-05 2.209318e-05 #>  [8272,] 1.462724e-05 1.505779e-05 1.763470e-05 2.857952e-05 4.811539e-05 #>  [8273,] 1.862225e-04 2.148624e-04 1.748157e-04 1.635257e-04 1.469436e-04 #>  [8274,] 1.144632e-05 1.084253e-05 1.154525e-05 1.352015e-05 1.355486e-05 #>  [8275,] 1.972524e-05 1.433891e-05 1.499713e-05 1.456056e-05 1.439315e-05 #>  [8276,] 1.377192e-05 1.497794e-05 1.717309e-05 1.713669e-05 1.586560e-05 #>  [8277,] 1.314314e-05 1.589548e-05 1.541043e-05 1.548721e-05 1.489870e-05 #>  [8278,] 6.196506e-05 6.588272e-05 3.629966e-05 4.252706e-05 4.076596e-05 #>  [8279,] 1.324908e-05 1.355667e-05 1.289295e-05 1.398878e-05 1.354822e-05 #>  [8280,] 1.728063e-05 2.916236e-05 4.235445e-05 1.870114e-05 2.001866e-05 #>  [8281,] 1.293470e-05 1.336053e-05 1.449946e-05 1.348075e-05 1.451857e-05 #>  [8282,] 1.829373e-05 1.743228e-05 1.923686e-05 2.152290e-05 1.845321e-05 #>  [8283,] 1.331921e-04 8.942356e-05 9.282384e-05 1.450802e-04 1.602837e-04 #>  [8284,] 1.531244e-05 1.500038e-05 1.970434e-05 1.875178e-05 1.650219e-05 #>  [8285,] 1.350040e-05 1.569476e-05 1.583523e-05 1.664415e-05 1.700880e-05 #>  [8286,] 1.520806e-04 2.068107e-04 1.822767e-04 1.510105e-04 1.972426e-04 #>  [8287,] 1.355713e-05 1.449625e-05 1.517072e-05 1.472030e-05 1.477008e-05 #>  [8288,] 1.030504e-05 1.004614e-05 1.099526e-05 1.085683e-05 1.013647e-05 #>  [8289,] 1.161874e-05 1.076022e-05 1.193111e-05 1.350282e-05 1.349544e-05 #>  [8290,] 1.189192e-05 1.167292e-05 1.346902e-05 1.654018e-05 1.646628e-05 #>  [8291,] 1.565511e-05 1.640192e-05 1.602779e-05 1.543661e-05 1.965188e-05 #>  [8292,] 1.040728e-05 1.045532e-05 1.105719e-05 1.206783e-05 1.138629e-05 #>  [8293,] 1.194557e-05 1.280214e-05 1.422953e-05 1.697880e-05 1.574999e-05 #>  [8294,] 1.165317e-05 1.269987e-05 1.329472e-05 1.468390e-05 1.500387e-05 #>  [8295,] 2.367324e-05 1.896401e-05 1.784364e-05 1.672630e-05 1.640821e-05 #>  [8296,] 1.250520e-05 1.364201e-05 1.226775e-05 1.226629e-05 1.789630e-05 #>  [8297,] 1.787720e-05 1.671535e-05 1.898884e-05 2.037075e-05 2.085553e-05 #>  [8298,] 1.147400e-05 1.214345e-05 1.135650e-05 1.221415e-05 1.197651e-05 #>  [8299,] 2.714722e-05 2.832296e-05 2.179967e-05 2.176148e-05 2.260706e-05 #>  [8300,] 2.978471e-05 2.508848e-05 2.177753e-05 2.016003e-05 2.530750e-05 #>  [8301,] 1.959207e-05 2.442785e-05 1.853819e-05 1.738033e-05 2.115810e-05 #>  [8302,] 3.010450e-05 2.914695e-05 6.248628e-05 8.379960e-05 1.741841e-04 #>  [8303,] 2.212085e-05 1.649499e-05 1.877224e-05 1.827170e-05 2.026105e-05 #>  [8304,] 1.364260e-05 1.292103e-05 1.311867e-05 1.434028e-05 1.472276e-05 #>  [8305,] 1.466433e-05 1.433160e-05 2.125875e-05 2.378611e-05 3.513157e-05 #>  [8306,] 1.113380e-05 1.075817e-05 1.154934e-05 1.221058e-05 1.155080e-05 #>  [8307,] 1.231894e-05 1.191941e-05 1.233416e-05 1.314464e-05 1.327100e-05 #>  [8308,] 2.416161e-05 2.533899e-05 2.918536e-05 2.698070e-05 3.299958e-05 #>  [8309,] 3.607150e-05 2.975763e-05 2.266795e-05 1.973316e-05 3.050094e-05 #>  [8310,] 2.877868e-05 1.251785e-05 2.109133e-05 1.235310e-05 1.556554e-05 #>  [8311,] 1.201073e-05 1.216199e-05 1.161373e-05 1.307528e-05 1.290045e-05 #>  [8312,] 1.355592e-05 1.284494e-05 1.373820e-05 1.544292e-05 1.768219e-05 #>  [8313,] 4.679834e-05 1.024228e-04 1.909396e-04 1.100370e-04 1.128785e-04 #>  [8314,] 6.872276e-05 4.883304e-05 1.876516e-05 1.959658e-05 2.012080e-05 #>  [8315,] 1.450584e-05 1.550830e-05 1.657301e-05 1.675704e-05 1.699668e-05 #>  [8316,] 1.758672e-05 2.154390e-05 2.574950e-05 2.087220e-05 2.328367e-05 #>  [8317,] 1.078926e-05 1.033984e-05 1.091257e-05 1.206962e-05 1.196642e-05 #>  [8318,] 1.196712e-05 1.224685e-05 1.211700e-05 1.221885e-05 1.310564e-05 #>  [8319,] 1.517175e-05 1.421037e-05 1.412062e-05 1.600641e-05 1.635781e-05 #>  [8320,] 2.644648e-05 1.979887e-05 2.642713e-05 2.867251e-05 4.931057e-05 #>  [8321,] 1.510523e-05 1.499817e-05 1.472020e-05 1.465893e-05 1.517186e-05 #>  [8322,] 1.294302e-05 1.305106e-05 1.215369e-05 1.220814e-05 1.297742e-05 #>  [8323,] 1.206551e-05 1.207426e-05 1.142679e-05 1.264705e-05 1.312044e-05 #>  [8324,] 1.285669e-05 1.301786e-05 1.322073e-05 1.415521e-05 1.515161e-05 #>  [8325,] 1.221890e-05 1.164822e-05 1.245981e-05 1.354030e-05 1.414284e-05 #>  [8326,] 1.192635e-05 1.349237e-05 1.414191e-05 1.396497e-05 1.517189e-05 #>  [8327,] 1.537130e-05 1.323455e-05 1.220403e-05 1.386615e-05 1.378922e-05 #>  [8328,] 1.172983e-05 1.283183e-05 1.321184e-05 1.382486e-05 1.459649e-05 #>  [8329,] 1.484955e-04 1.248424e-04 7.656850e-05 8.922906e-05 8.672137e-05 #>  [8330,] 1.191002e-05 1.083726e-05 1.210389e-05 1.205371e-05 1.223637e-05 #>  [8331,] 1.219166e-05 1.305199e-05 1.381796e-05 1.460954e-05 1.457026e-05 #>  [8332,] 1.590000e-05 1.715044e-05 1.340981e-05 1.404059e-05 1.373384e-05 #>  [8333,] 1.158180e-05 1.206758e-05 1.266693e-05 1.226875e-05 1.339822e-05 #>  [8334,] 1.343977e-05 1.374670e-05 1.381528e-05 1.442020e-05 1.454144e-05 #>  [8335,] 1.368730e-05 1.632350e-05 1.592893e-05 1.429303e-05 1.350384e-05 #>  [8336,] 1.264152e-05 1.395348e-05 1.820626e-05 1.999821e-05 2.041416e-05 #>  [8337,] 3.786060e-05 5.075043e-05 2.598766e-04 3.512691e-04 4.948618e-04 #>  [8338,] 1.416926e-05 1.347650e-05 1.310495e-05 1.494116e-05 1.401491e-05 #>  [8339,] 1.223664e-05 1.214491e-05 1.285830e-05 1.354904e-05 1.480897e-05 #>  [8340,] 1.307418e-05 1.353670e-05 1.286018e-05 1.386874e-05 1.399784e-05 #>  [8341,] 6.915506e-04 6.927314e-04 7.689732e-04 6.713687e-04 7.918169e-04 #>  [8342,] 1.162638e-05 1.304395e-05 1.355600e-05 1.404759e-05 1.592524e-05 #>  [8343,] 1.617388e-05 1.690943e-05 1.538718e-05 1.736393e-05 1.804512e-05 #>  [8344,] 1.323878e-05 1.324956e-05 1.334094e-05 1.403965e-05 1.406970e-05 #>  [8345,] 1.365054e-05 1.355504e-05 1.271945e-05 1.535540e-05 1.379977e-05 #>  [8346,] 1.357468e-05 1.519946e-05 1.817844e-05 2.214212e-05 2.969315e-05 #>  [8347,] 1.171096e-05 1.282036e-05 1.268802e-05 1.231454e-05 1.313728e-05 #>  [8348,] 2.998936e-05 4.667702e-05 3.017832e-05 3.617853e-05 3.520988e-05 #>  [8349,] 1.489259e-05 1.390676e-05 1.346166e-05 1.487616e-05 1.529095e-05 #>  [8350,] 1.678223e-04 1.362868e-04 1.898724e-04 2.077825e-04 1.054574e-04 #>  [8351,] 1.427442e-05 1.820336e-05 1.968006e-05 1.680254e-05 1.507295e-05 #>  [8352,] 1.333565e-05 1.454380e-05 1.906074e-05 1.849081e-05 1.481417e-05 #>  [8353,] 1.322346e-05 1.352389e-05 1.577097e-05 1.595879e-05 1.636897e-05 #>  [8354,] 2.934784e-05 2.640569e-05 2.139659e-05 2.006144e-05 2.289596e-05 #>  [8355,] 1.740711e-05 1.777994e-05 2.437458e-05 2.271611e-05 2.339261e-05 #>  [8356,] 5.848235e-05 1.291775e-04 4.406867e-04 4.470879e-04 3.929065e-04 #>  [8357,] 1.327675e-05 1.285880e-05 1.423993e-05 1.546429e-05 1.482132e-05 #>  [8358,] 2.889471e-05 3.010711e-05 4.283583e-05 3.498187e-05 3.362882e-05 #>  [8359,] 1.171803e-05 1.276577e-05 1.331257e-05 1.284357e-05 1.454781e-05 #>  [8360,] 1.198865e-05 1.305409e-05 1.448143e-05 1.438192e-05 1.460497e-05 #>  [8361,] 1.553836e-05 1.848516e-05 2.682736e-05 3.516630e-05 9.375753e-05 #>  [8362,] 2.206877e-05 2.212548e-05 3.601227e-05 4.108832e-05 3.825457e-05 #>  [8363,] 7.518130e-05 7.365518e-05 4.598973e-05 4.330166e-05 5.248247e-05 #>  [8364,] 2.948588e-05 2.018774e-05 1.540070e-05 1.780266e-05 1.760795e-05 #>  [8365,] 1.341680e-05 1.310226e-05 1.150750e-05 1.417959e-05 1.485154e-05 #>  [8366,] 1.294953e-05 1.315668e-05 1.222551e-05 1.278193e-05 1.312788e-05 #>  [8367,] 7.870128e-04 9.479017e-04 6.804605e-04 5.913152e-04 6.566816e-04 #>  [8368,] 1.780272e-05 2.221553e-05 1.854368e-05 2.139029e-05 3.239958e-05 #>  [8369,] 1.892750e-05 1.812633e-05 2.217802e-05 2.436980e-05 2.335272e-05 #>  [8370,] 1.473119e-05 1.404793e-05 1.222901e-05 1.349849e-05 1.450967e-05 #>  [8371,] 1.181377e-05 1.222773e-05 1.319616e-05 1.457122e-05 1.359307e-05 #>  [8372,] 1.896307e-05 2.461171e-05 1.719397e-05 3.329393e-05 8.723031e-05 #>  [8373,] 1.302769e-05 1.456105e-05 1.685736e-05 1.755420e-05 1.875883e-05 #>  [8374,] 1.166337e-05 1.108698e-05 1.166386e-05 1.249432e-05 1.455105e-05 #>  [8375,] 1.530259e-05 1.406370e-05 1.793744e-05 1.957391e-05 1.587061e-05 #>  [8376,] 1.259513e-05 1.263206e-05 1.437285e-05 1.589438e-05 1.466761e-05 #>  [8377,] 1.621412e-05 1.644865e-05 1.560045e-05 1.409735e-05 1.268600e-05 #>  [8378,] 4.783336e-05 3.108205e-05 3.014275e-05 3.276954e-05 3.570000e-05 #>  [8379,] 1.796369e-05 2.130061e-05 2.066395e-05 1.948229e-05 2.337149e-05 #>  [8380,] 2.679564e-05 2.456504e-05 2.758223e-05 2.569328e-05 2.516818e-05 #>  [8381,] 1.210443e-05 1.251052e-05 1.366727e-05 1.686067e-05 1.732750e-05 #>  [8382,] 1.511591e-05 1.782209e-05 1.673501e-05 1.782320e-05 1.929222e-05 #>  [8383,] 1.321500e-05 1.145045e-05 1.078021e-05 1.148228e-05 1.149334e-05 #>  [8384,] 1.234543e-05 1.381878e-05 1.663136e-05 1.602973e-05 2.420622e-05 #>  [8385,] 7.914298e-05 8.456303e-05 6.525918e-05 6.305461e-05 7.594910e-05 #>  [8386,] 7.420207e-05 7.889421e-05 1.526211e-04 1.777328e-04 2.158709e-04 #>  [8387,] 1.415369e-05 1.354081e-05 1.698522e-05 1.785423e-05 1.847292e-05 #>  [8388,] 1.038485e-05 1.038166e-05 1.103348e-05 1.098102e-05 1.148010e-05 #>  [8389,] 1.141748e-05 1.037556e-05 1.079745e-05 1.144433e-05 1.192090e-05 #>  [8390,] 1.261947e-05 1.314211e-05 1.386810e-05 1.329598e-05 1.450128e-05 #>  [8391,] 1.197147e-05 1.350760e-05 1.235234e-05 1.211233e-05 1.216820e-05 #>  [8392,] 1.082437e-05 1.035820e-05 1.115135e-05 1.158764e-05 1.227244e-05 #>  [8393,] 1.120882e-05 1.072359e-05 1.163493e-05 1.305478e-05 1.467203e-05 #>  [8394,] 1.399883e-05 1.502578e-05 1.528340e-05 1.718140e-05 1.698110e-05 #>  [8395,] 1.326212e-05 1.411977e-05 1.454332e-05 1.466787e-05 1.561717e-05 #>  [8396,] 2.441929e-05 2.538393e-05 1.921750e-05 1.936187e-05 2.096989e-05 #>  [8397,] 1.279045e-05 1.274514e-05 1.413943e-05 1.334854e-05 1.538799e-05 #>  [8398,] 1.329110e-05 1.391510e-05 1.608523e-05 1.530164e-05 1.536847e-05 #>  [8399,] 1.449302e-05 1.617738e-05 1.544638e-05 1.570021e-05 1.544728e-05 #>  [8400,] 1.315385e-05 1.745595e-05 2.219308e-05 1.628425e-05 1.280348e-05 #>  [8401,] 1.511202e-05 1.664846e-05 1.444376e-05 1.680342e-05 2.047013e-05 #>  [8402,] 2.473027e-05 1.854079e-05 1.867750e-05 2.828358e-05 4.255403e-05 #>  [8403,] 1.700046e-05 1.406524e-05 1.665521e-05 2.061192e-05 2.532061e-05 #>  [8404,] 2.609766e-05 1.818490e-05 2.697548e-05 2.191815e-05 4.796779e-05 #>  [8405,] 2.618444e-05 4.195805e-05 1.074517e-04 7.952385e-05 1.269396e-04 #>  [8406,] 1.294365e-05 1.420373e-05 1.252081e-05 1.362918e-05 1.419254e-05 #>  [8407,] 1.382553e-05 1.542963e-05 1.678802e-05 1.866485e-05 2.176016e-05 #>  [8408,] 1.112657e-05 1.070572e-05 1.143566e-05 1.260276e-05 1.408165e-05 #>  [8409,] 1.685370e-05 3.337787e-05 2.769564e-05 2.138957e-05 2.081058e-05 #>  [8410,] 2.378303e-05 3.008591e-05 6.069364e-05 4.943886e-05 5.771940e-05 #>  [8411,] 1.815939e-05 2.464247e-05 1.925816e-05 1.833638e-05 2.028310e-05 #>  [8412,] 1.231949e-05 1.320858e-05 1.413820e-05 1.938950e-05 1.780003e-05 #>  [8413,] 2.246684e-05 1.986796e-05 1.798161e-05 2.571105e-05 3.312762e-05 #>  [8414,] 2.047387e-05 2.121060e-05 2.016280e-05 1.706886e-05 1.619262e-05 #>  [8415,] 8.353281e-05 1.312395e-04 8.250973e-05 8.496822e-05 7.860166e-05 #>  [8416,] 1.368622e-05 1.391397e-05 1.390938e-05 1.585455e-05 1.624070e-05 #>  [8417,] 2.504629e-05 1.934709e-05 1.837761e-05 1.897862e-05 2.244068e-05 #>  [8418,] 1.932450e-05 1.918279e-05 2.357770e-05 2.095166e-05 2.489091e-05 #>  [8419,] 1.537788e-05 4.018082e-05 8.262338e-05 7.234870e-05 9.423806e-05 #>  [8420,] 1.331716e-05 1.302594e-05 1.262323e-05 1.393428e-05 1.356518e-05 #>  [8421,] 2.805964e-05 3.306453e-05 3.740117e-05 4.137647e-05 4.284765e-05 #>  [8422,] 2.500888e-05 2.545660e-05 3.935565e-05 5.670401e-05 7.687880e-05 #>  [8423,] 2.002441e-05 2.241248e-05 1.614909e-05 1.923666e-05 1.986216e-05 #>  [8424,] 1.174633e-05 1.179965e-05 1.255930e-05 1.482831e-05 1.584635e-05 #>  [8425,] 1.323543e-05 1.453460e-05 1.475046e-05 1.439413e-05 1.471031e-05 #>  [8426,] 6.379562e-04 4.453717e-04 1.605002e-04 1.097640e-04 2.144722e-05 #>  [8427,] 2.226597e-04 1.693823e-04 1.525563e-04 1.674920e-04 1.952405e-04 #>  [8428,] 1.414614e-05 1.548247e-05 1.520935e-05 1.482713e-05 1.599256e-05 #>  [8429,] 2.732710e-05 3.805955e-05 5.964038e-05 8.920353e-05 1.113331e-04 #>  [8430,] 1.348047e-05 1.231038e-05 1.430742e-05 1.531089e-05 1.528131e-05 #>  [8431,] 1.360574e-05 1.344659e-05 1.303328e-05 1.415044e-05 1.541194e-05 #>  [8432,] 7.297824e-05 6.495512e-05 1.246360e-04 1.109899e-04 1.110691e-04 #>  [8433,] 2.420801e-05 3.953750e-05 2.824840e-05 2.720174e-05 3.273520e-05 #>  [8434,] 1.300617e-05 1.246189e-05 1.368150e-05 1.424229e-05 1.415063e-05 #>  [8435,] 1.565013e-05 2.216536e-05 1.829771e-05 1.951043e-05 1.711113e-05 #>  [8436,] 1.268751e-05 1.377236e-05 1.498198e-05 1.495405e-05 1.588193e-05 #>  [8437,] 1.249665e-05 1.400681e-05 1.437615e-05 1.381273e-05 1.640858e-05 #>  [8438,] 1.177059e-05 1.144870e-05 1.285091e-05 1.254368e-05 1.291082e-05 #>  [8439,] 4.994698e-05 4.617349e-05 1.042869e-04 1.186728e-04 7.719742e-05 #>  [8440,] 1.557056e-05 1.493423e-05 1.541952e-05 1.658627e-05 1.661548e-05 #>  [8441,] 1.580399e-05 1.559533e-05 3.749136e-05 1.988109e-05 4.001577e-05 #>  [8442,] 1.496094e-05 1.367184e-05 1.451715e-05 1.596723e-05 1.555990e-05 #>  [8443,] 7.603568e-05 7.556194e-05 5.258497e-05 5.047829e-05 5.270761e-05 #>  [8444,] 1.579577e-05 1.461300e-05 1.432169e-05 1.511214e-05 1.518019e-05 #>  [8445,] 1.222963e-05 1.276731e-05 1.362500e-05 1.460389e-05 1.536276e-05 #>  [8446,] 1.554697e-05 1.412375e-05 1.554277e-05 1.620463e-05 1.973734e-05 #>  [8447,] 1.549832e-05 1.611167e-05 2.099540e-05 2.629374e-05 2.210869e-05 #>  [8448,] 1.463852e-05 1.672150e-05 1.833778e-05 1.665469e-05 1.647294e-05 #>  [8449,] 1.127614e-05 1.173139e-05 1.376959e-05 1.216638e-05 1.233644e-05 #>  [8450,] 2.098853e-05 1.996094e-05 2.175556e-05 2.676155e-05 2.419457e-05 #>  [8451,] 2.622711e-05 2.169418e-05 2.652334e-05 2.756372e-05 3.139034e-05 #>  [8452,] 1.362476e-05 1.485795e-05 1.825790e-05 1.835848e-05 1.622422e-05 #>  [8453,] 2.180196e-05 2.305394e-05 2.985932e-05 3.129734e-05 2.431369e-05 #>  [8454,] 1.166036e-05 1.251248e-05 1.447618e-05 1.368537e-05 1.477630e-05 #>  [8455,] 3.105388e-05 2.935121e-05 2.759993e-05 2.960299e-05 3.430797e-05 #>  [8456,] 1.952036e-05 1.816893e-05 3.112395e-05 3.308788e-05 2.114269e-05 #>  [8457,] 1.543871e-05 2.142750e-05 3.624839e-05 3.915360e-05 6.075961e-05 #>  [8458,] 3.735806e-05 3.355588e-05 2.394751e-05 2.494847e-05 3.082344e-05 #>  [8459,] 1.260892e-05 1.261077e-05 1.268104e-05 1.460701e-05 1.459421e-05 #>  [8460,] 1.255334e-05 1.338969e-05 1.355810e-05 1.499966e-05 1.588003e-05 #>  [8461,] 1.195296e-05 1.349436e-05 1.376458e-05 1.367210e-05 1.654506e-05 #>  [8462,] 1.387576e-05 1.316884e-05 1.477129e-05 1.511504e-05 1.503384e-05 #>  [8463,] 1.418708e-05 1.314909e-05 1.608543e-05 1.613088e-05 1.606564e-05 #>  [8464,] 2.132811e-05 2.848117e-05 2.044673e-05 2.291457e-05 3.004646e-05 #>  [8465,] 1.187082e-05 1.177161e-05 1.186699e-05 1.138845e-05 1.164192e-05 #>  [8466,] 1.174652e-05 1.178225e-05 1.182900e-05 1.192534e-05 1.280171e-05 #>  [8467,] 1.303026e-04 1.693376e-04 2.862706e-04 2.730754e-04 3.255663e-04 #>  [8468,] 1.715329e-05 1.529373e-05 1.705272e-05 1.678167e-05 1.676584e-05 #>  [8469,] 1.304544e-05 1.285767e-05 1.485908e-05 1.646350e-05 1.647127e-05 #>  [8470,] 1.699107e-05 2.061008e-05 1.764486e-05 1.814301e-05 2.194803e-05 #>  [8471,] 1.105894e-05 1.157362e-05 1.283541e-05 1.405414e-05 1.480650e-05 #>  [8472,] 2.302388e-05 2.057816e-05 2.461100e-05 2.437863e-05 2.680511e-05 #>  [8473,] 5.246857e-05 1.156359e-04 4.577973e-05 3.762862e-05 5.083624e-05 #>  [8474,] 4.356243e-05 3.680505e-05 1.925995e-05 2.107701e-05 4.493337e-05 #>  [8475,] 1.355539e-05 1.403315e-05 1.480120e-05 1.500446e-05 1.464610e-05 #>  [8476,] 2.772171e-05 2.722893e-05 2.558116e-05 2.636021e-05 2.795510e-05 #>  [8477,] 1.495448e-05 1.353598e-05 1.164477e-05 1.437074e-05 1.408578e-05 #>  [8478,] 1.089446e-05 1.029166e-05 1.035959e-05 1.033632e-05 1.094573e-05 #>  [8479,] 2.689679e-05 2.743184e-05 4.787318e-05 6.254099e-05 7.944990e-05 #>  [8480,] 1.326050e-05 1.350296e-05 1.592586e-05 1.627989e-05 1.486015e-05 #>  [8481,] 1.281679e-05 1.259206e-05 1.339944e-05 1.399494e-05 1.551124e-05 #>  [8482,] 1.350229e-05 1.322848e-05 1.406352e-05 1.521052e-05 1.480038e-05 #>  [8483,] 1.060135e-05 1.061601e-05 1.163644e-05 1.107655e-05 1.076446e-05 #>  [8484,] 1.542614e-05 1.687948e-05 1.669117e-05 1.999548e-05 3.274232e-05 #>  [8485,] 1.216713e-05 1.269845e-05 1.355586e-05 1.565046e-05 1.632640e-05 #>  [8486,] 1.226480e-05 1.237490e-05 1.300602e-05 1.324247e-05 1.425556e-05 #>  [8487,] 1.246947e-05 1.262391e-05 1.177114e-05 1.126955e-05 1.226358e-05 #>  [8488,] 1.186826e-05 1.218710e-05 1.222212e-05 1.266874e-05 1.284216e-05 #>  [8489,] 1.468435e-05 1.424786e-05 1.557527e-05 1.611630e-05 1.598400e-05 #>  [8490,] 1.499862e-05 1.886327e-05 1.506527e-05 1.544653e-05 1.496671e-05 #>  [8491,] 1.505046e-05 1.272040e-05 1.208925e-05 1.532916e-05 1.445319e-05 #>  [8492,] 3.283993e-05 4.032455e-05 6.914586e-05 9.207886e-05 1.754075e-04 #>  [8493,] 2.037537e-05 2.330400e-05 2.957334e-05 2.803402e-05 2.859040e-05 #>  [8494,] 2.747002e-05 2.964271e-05 2.053857e-05 2.251340e-05 2.254930e-05 #>  [8495,] 1.562618e-05 1.875636e-05 1.912692e-05 1.748265e-05 2.689655e-05 #>  [8496,] 1.772540e-05 1.547503e-05 1.550912e-05 1.505261e-05 1.626490e-05 #>  [8497,] 1.773590e-05 1.818160e-05 2.321302e-05 2.236378e-05 2.090515e-05 #>  [8498,] 1.155084e-05 1.194263e-05 1.248096e-05 1.250375e-05 1.275424e-05 #>  [8499,] 3.706541e-05 5.382146e-05 7.811291e-05 9.301532e-05 1.039690e-04 #>  [8500,] 1.161502e-05 1.142141e-05 1.245263e-05 1.374591e-05 1.437086e-05 #>  [8501,] 1.720079e-05 1.778387e-05 1.729879e-05 1.699102e-05 2.138176e-05 #>  [8502,] 6.786035e-05 3.559223e-05 6.529432e-05 5.240916e-05 4.812665e-05 #>  [8503,] 1.275174e-05 1.207014e-05 1.288873e-05 1.337849e-05 1.550832e-05 #>  [8504,] 1.753443e-05 1.717854e-05 1.351152e-05 1.589375e-05 1.964043e-05 #>  [8505,] 1.517971e-05 1.653885e-05 2.473471e-05 2.472662e-05 3.084293e-05 #>  [8506,] 3.961668e-05 4.918302e-05 1.386517e-04 1.109312e-04 6.809163e-05 #>  [8507,] 8.006837e-05 1.222687e-04 1.013970e-04 7.726096e-05 1.195193e-04 #>  [8508,] 1.302238e-05 1.158867e-05 1.217025e-05 1.450529e-05 1.574410e-05 #>  [8509,] 1.879521e-05 1.499907e-05 1.843898e-05 2.075915e-05 2.377271e-05 #>  [8510,] 1.235310e-05 1.305904e-05 1.329589e-05 1.332753e-05 1.451349e-05 #>  [8511,] 1.440821e-05 1.488831e-05 1.697989e-05 1.728505e-05 2.425763e-05 #>  [8512,] 4.022992e-05 2.639585e-05 3.452839e-05 4.327965e-05 4.855757e-05 #>  [8513,] 1.249138e-05 1.369198e-05 1.439021e-05 1.517717e-05 1.451806e-05 #>  [8514,] 1.228552e-05 1.254065e-05 1.251818e-05 1.353157e-05 1.295618e-05 #>  [8515,] 1.864331e-05 1.429721e-05 1.642712e-05 1.654380e-05 1.514916e-05 #>  [8516,] 1.450431e-05 1.439002e-05 1.989784e-05 1.797915e-05 1.712656e-05 #>  [8517,] 1.099175e-05 1.225031e-05 1.184255e-05 1.222253e-05 1.237592e-05 #>  [8518,] 1.138683e-05 1.245794e-05 1.282202e-05 1.481391e-05 2.330176e-05 #>  [8519,] 1.513640e-05 1.499367e-05 1.909161e-05 1.805246e-05 2.114204e-05 #>  [8520,] 1.103535e-05 1.245409e-05 1.133024e-05 1.147045e-05 1.194778e-05 #>  [8521,] 1.306131e-05 1.385182e-05 2.065167e-05 1.975151e-05 2.102460e-05 #>  [8522,] 1.258125e-05 1.216698e-05 1.363357e-05 1.464875e-05 1.436170e-05 #>  [8523,] 1.271399e-05 1.394268e-05 1.565600e-05 1.524348e-05 1.437766e-05 #>  [8524,] 1.232743e-05 1.534735e-05 1.707149e-05 1.368059e-05 1.289441e-05 #>  [8525,] 2.685035e-05 1.998575e-05 2.772347e-05 3.471924e-05 4.424788e-05 #>  [8526,] 2.557590e-05 1.563222e-05 1.448262e-05 1.856968e-05 2.190305e-05 #>  [8527,] 3.170158e-05 2.102046e-05 2.359963e-05 3.520002e-05 2.969373e-05 #>  [8528,] 1.247279e-05 1.267322e-05 1.399664e-05 1.437000e-05 1.501280e-05 #>  [8529,] 1.345889e-05 1.433930e-05 1.597105e-05 1.435865e-05 1.450150e-05 #>  [8530,] 2.565975e-05 2.325669e-05 1.993974e-05 2.373143e-05 3.002464e-05 #>  [8531,] 1.145386e-05 1.197447e-05 1.208639e-05 1.347422e-05 1.369016e-05 #>  [8532,] 1.423422e-05 1.570022e-05 1.637723e-05 1.556412e-05 1.505025e-05 #>  [8533,] 1.228338e-05 1.290519e-05 1.356296e-05 1.531872e-05 1.548522e-05 #>  [8534,] 1.220075e-05 1.331622e-05 1.549077e-05 1.419998e-05 1.443861e-05 #>  [8535,] 1.202241e-05 1.218022e-05 1.367463e-05 1.512623e-05 1.667380e-05 #>  [8536,] 1.360747e-05 1.346246e-05 1.434406e-05 1.487842e-05 1.717909e-05 #>  [8537,] 1.144996e-05 1.381941e-05 1.374390e-05 1.289016e-05 1.394045e-05 #>  [8538,] 1.195266e-05 1.243521e-05 1.360097e-05 1.370322e-05 1.516684e-05 #>  [8539,] 1.521633e-05 1.515674e-05 1.465406e-05 1.466284e-05 1.469039e-05 #>  [8540,] 1.443909e-05 1.595475e-05 1.762282e-05 1.677671e-05 1.678721e-05 #>  [8541,] 1.515590e-05 1.931652e-05 1.567281e-05 1.498867e-05 1.837970e-05 #>  [8542,] 1.785934e-05 1.940565e-05 1.703437e-05 1.886679e-05 1.890898e-05 #>  [8543,] 3.052876e-05 3.237976e-05 7.138161e-05 7.540589e-05 5.590627e-05 #>  [8544,] 5.672216e-05 3.528789e-05 1.806428e-05 2.178779e-05 2.020490e-05 #>  [8545,] 1.311041e-05 1.243947e-05 1.282524e-05 1.327103e-05 1.391014e-05 #>  [8546,] 1.589657e-05 1.679978e-05 1.699738e-05 2.125228e-05 2.515309e-05 #>  [8547,] 1.817565e-05 1.742246e-05 2.483697e-05 2.412645e-05 2.883227e-05 #>  [8548,] 2.018947e-05 2.048524e-05 2.807904e-05 2.935440e-05 3.188875e-05 #>  [8549,] 1.251582e-05 1.394348e-05 1.621885e-05 1.434233e-05 1.499791e-05 #>  [8550,] 1.291729e-05 1.261722e-05 1.321704e-05 1.304796e-05 1.338225e-05 #>  [8551,] 1.338244e-05 1.345494e-05 1.357589e-05 1.518129e-05 1.636627e-05 #>  [8552,] 1.481811e-05 1.457078e-05 1.865465e-05 2.092285e-05 1.877064e-05 #>  [8553,] 1.681171e-05 1.985358e-05 2.147692e-05 2.068870e-05 2.143349e-05 #>  [8554,] 5.436375e-05 3.447371e-05 5.213257e-05 5.445283e-05 5.575039e-05 #>  [8555,] 3.726677e-04 3.082566e-04 1.861812e-04 1.960344e-04 1.799116e-04 #>  [8556,] 1.145470e-05 1.140279e-05 1.191371e-05 1.185023e-05 1.222225e-05 #>  [8557,] 1.269530e-05 1.278427e-05 1.510295e-05 1.991536e-05 1.923161e-05 #>  [8558,] 1.261885e-05 1.240781e-05 1.344044e-05 1.412118e-05 1.383325e-05 #>  [8559,] 2.581495e-05 2.231242e-05 2.053761e-05 2.520650e-05 4.727915e-05 #>  [8560,] 1.794246e-05 1.969015e-05 1.760076e-05 2.079464e-05 2.604844e-05 #>  [8561,] 1.911835e-05 2.631741e-05 2.162092e-05 1.940439e-05 1.946224e-05 #>  [8562,] 2.040681e-05 1.759051e-05 1.776425e-05 2.344589e-05 2.167641e-05 #>  [8563,] 1.163283e-05 1.167999e-05 1.210324e-05 1.274764e-05 1.566511e-05 #>  [8564,] 1.174206e-05 1.038032e-05 1.163537e-05 1.310240e-05 1.674976e-05 #>  [8565,] 1.449278e-05 1.504941e-05 1.563819e-05 1.719394e-05 1.684889e-05 #>  [8566,] 1.511240e-05 1.349347e-05 1.485560e-05 1.673114e-05 1.687877e-05 #>  [8567,] 1.622085e-05 1.843217e-05 2.669187e-05 3.626557e-05 4.505332e-05 #>  [8568,] 1.494219e-04 1.256775e-04 5.870648e-05 7.426478e-05 8.182300e-05 #>  [8569,] 1.034982e-03 1.016248e-03 1.011661e-03 9.859819e-04 9.961402e-04 #>  [8570,] 1.504303e-05 1.745737e-05 1.575462e-05 1.791678e-05 1.814919e-05 #>  [8571,] 2.248108e-05 2.043788e-05 2.261288e-05 3.057633e-05 3.919550e-05 #>  [8572,] 1.283993e-05 1.359193e-05 1.551209e-05 1.766738e-05 1.709410e-05 #>  [8573,] 2.316557e-05 2.946765e-05 2.843818e-05 3.005940e-05 3.589468e-05 #>  [8574,] 1.393520e-05 1.370420e-05 1.524166e-05 1.620662e-05 1.644839e-05 #>  [8575,] 2.082178e-05 2.394620e-05 1.716752e-05 1.733016e-05 1.866618e-05 #>  [8576,] 9.946944e-05 8.986921e-05 2.145785e-04 1.401842e-04 1.029989e-04 #>  [8577,] 1.147408e-05 1.286395e-05 1.394764e-05 1.385599e-05 1.433756e-05 #>  [8578,] 1.430157e-05 1.349109e-05 1.315938e-05 1.579609e-05 1.399600e-05 #>  [8579,] 1.624906e-05 1.762532e-05 1.557016e-05 1.663650e-05 1.602826e-05 #>  [8580,] 2.347407e-04 1.633159e-04 1.297887e-04 1.426263e-04 1.180046e-04 #>  [8581,] 1.498259e-05 1.490669e-05 1.502619e-05 1.721981e-05 1.602671e-05 #>  [8582,] 1.318712e-05 1.872820e-05 2.233326e-05 1.451402e-05 6.740777e-05 #>  [8583,] 1.285126e-05 1.460710e-05 1.773605e-05 1.734650e-05 2.159463e-05 #>  [8584,] 1.422956e-05 1.600086e-05 1.310870e-05 1.879283e-05 2.717192e-05 #>  [8585,] 6.105157e-05 5.380542e-05 4.402440e-05 4.828818e-05 4.967329e-05 #>  [8586,] 2.024101e-05 2.543574e-05 2.157387e-05 2.298863e-05 2.335118e-05 #>  [8587,] 2.923801e-05 3.980794e-05 6.269771e-05 7.354419e-05 5.313266e-05 #>  [8588,] 1.476943e-05 1.302167e-05 1.443603e-05 1.601804e-05 1.591372e-05 #>  [8589,] 2.523664e-04 4.460372e-04 4.670207e-04 3.360493e-04 1.799095e-04 #>  [8590,] 1.246081e-05 1.265504e-05 1.532419e-05 1.665605e-05 1.573263e-05 #>  [8591,] 1.064618e-05 1.082781e-05 1.135009e-05 1.182496e-05 1.226945e-05 #>  [8592,] 1.218520e-05 1.221128e-05 1.332103e-05 1.531386e-05 1.538659e-05 #>  [8593,] 1.234709e-05 1.257016e-05 1.705182e-05 1.729808e-05 1.657716e-05 #>  [8594,] 1.667255e-05 1.732500e-05 1.585266e-05 1.727546e-05 1.782874e-05 #>  [8595,] 1.599110e-05 1.787462e-05 1.900204e-05 2.055416e-05 2.591087e-05 #>  [8596,] 1.107722e-05 1.151711e-05 1.297154e-05 1.292984e-05 1.392396e-05 #>  [8597,] 1.028913e-03 9.853005e-04 1.109311e-03 1.001070e-03 1.094301e-03 #>  [8598,] 1.295182e-05 1.189299e-05 1.282304e-05 1.476407e-05 1.753311e-05 #>  [8599,] 1.257543e-05 1.395122e-05 1.336631e-05 1.363448e-05 1.516936e-05 #>  [8600,] 1.298197e-05 1.381854e-05 1.483554e-05 1.452146e-05 1.513161e-05 #>  [8601,] 1.425001e-05 1.517165e-05 1.442734e-05 1.558327e-05 1.560508e-05 #>  [8602,] 2.351172e-05 2.157715e-05 1.902822e-05 1.967801e-05 1.959531e-05 #>  [8603,] 1.398766e-05 1.401182e-05 1.484387e-05 1.659602e-05 1.649114e-05 #>  [8604,] 7.368697e-05 1.004590e-04 7.678352e-05 6.997455e-05 6.198630e-05 #>  [8605,] 1.390414e-05 1.401694e-05 1.547460e-05 1.765931e-05 1.632507e-05 #>  [8606,] 1.339720e-05 1.373144e-05 1.290890e-05 1.432427e-05 1.343748e-05 #>  [8607,] 1.417428e-05 1.360522e-05 1.353534e-05 1.555648e-05 1.609432e-05 #>  [8608,] 4.401292e-05 4.819305e-05 7.224706e-05 6.135436e-05 5.682105e-05 #>  [8609,] 1.238660e-05 1.315425e-05 1.251622e-05 1.245053e-05 1.296606e-05 #>  [8610,] 1.545135e-04 2.824663e-04 6.012619e-04 4.842868e-04 4.211520e-04 #>  [8611,] 1.607104e-05 1.707268e-05 1.845198e-05 2.410430e-05 2.216227e-05 #>  [8612,] 1.298921e-05 1.488934e-05 1.497700e-05 1.337852e-05 1.367809e-05 #>  [8613,] 1.392552e-05 1.561645e-05 1.574609e-05 1.626387e-05 1.639296e-05 #>  [8614,] 1.526992e-05 1.434027e-05 1.340324e-05 1.370800e-05 1.329886e-05 #>  [8615,] 4.336572e-05 5.125395e-05 8.545936e-05 6.344298e-05 6.248679e-05 #>  [8616,] 2.894125e-05 4.060672e-05 1.412302e-05 1.401559e-05 1.455260e-05 #>  [8617,] 1.273565e-05 1.279957e-05 1.350667e-05 1.345497e-05 1.526977e-05 #>  [8618,] 1.471961e-05 1.424065e-05 1.408099e-05 1.458395e-05 1.470435e-05 #>  [8619,] 1.276308e-05 1.308240e-05 1.345457e-05 1.327765e-05 1.370398e-05 #>  [8620,] 1.332814e-05 1.445057e-05 1.418369e-05 1.394953e-05 1.447648e-05 #>  [8621,] 2.710940e-05 1.835252e-05 1.842349e-05 1.951241e-05 2.167536e-05 #>  [8622,] 1.186341e-05 1.220246e-05 1.297110e-05 1.319120e-05 1.313232e-05 #>  [8623,] 1.878022e-05 1.515631e-05 1.817060e-05 2.042115e-05 3.402444e-05 #>  [8624,] 1.334204e-05 1.353445e-05 1.283326e-05 1.344431e-05 1.323792e-05 #>  [8625,] 2.425846e-05 2.446076e-05 2.335952e-05 2.510006e-05 2.377008e-05 #>  [8626,] 1.274029e-05 1.373508e-05 1.477927e-05 1.475806e-05 1.853810e-05 #>  [8627,] 1.350144e-05 1.412316e-05 1.324438e-05 1.297694e-05 1.387373e-05 #>  [8628,] 5.264524e-05 4.356184e-05 6.680967e-05 6.823860e-05 3.210977e-05 #>  [8629,] 1.436229e-05 1.446350e-05 1.631690e-05 1.590129e-05 1.872821e-05 #>  [8630,] 1.307127e-05 1.242466e-05 1.404494e-05 1.495604e-05 1.487394e-05 #>  [8631,] 1.404596e-05 1.518935e-05 1.453860e-05 1.442699e-05 1.545249e-05 #>  [8632,] 3.880523e-05 5.080270e-05 6.600303e-05 5.738717e-05 4.317616e-05 #>  [8633,] 1.414464e-05 1.606871e-05 1.783491e-05 1.792376e-05 1.709881e-05 #>  [8634,] 1.018437e-05 1.080470e-05 1.157327e-05 1.114785e-05 1.131951e-05 #>  [8635,] 1.306754e-05 1.373325e-05 1.423973e-05 1.327254e-05 1.489948e-05 #>  [8636,] 2.666243e-05 8.540576e-05 5.019011e-05 4.657560e-05 5.252403e-05 #>  [8637,] 8.523012e-05 5.629725e-05 9.673099e-05 1.061301e-04 2.062704e-04 #>  [8638,] 1.423417e-05 1.373278e-05 1.357856e-05 1.420300e-05 1.350680e-05 #>  [8639,] 1.606721e-05 1.493614e-05 1.525702e-05 1.693953e-05 1.589983e-05 #>  [8640,] 1.850171e-05 1.777823e-05 2.127417e-05 2.157087e-05 1.787143e-05 #>  [8641,] 1.062532e-05 1.222513e-05 1.200630e-05 1.171269e-05 1.145457e-05 #>  [8642,] 1.204008e-05 1.210454e-05 1.281788e-05 1.343027e-05 1.512594e-05 #>  [8643,] 1.909218e-05 2.241394e-05 1.618745e-05 2.643854e-05 1.094857e-04 #>  [8644,] 8.862131e-05 5.519494e-05 8.956399e-05 7.946145e-05 6.036540e-05 #>  [8645,] 2.245669e-05 2.935642e-05 3.425453e-05 2.825855e-05 7.070816e-05 #>  [8646,] 1.514669e-05 1.726985e-05 1.610486e-05 1.729595e-05 1.629602e-05 #>  [8647,] 1.816580e-05 2.429042e-05 2.846860e-05 2.656733e-05 2.118457e-05 #>  [8648,] 3.005399e-05 3.654353e-05 4.049016e-05 3.987219e-05 3.468446e-05 #>  [8649,] 3.074596e-04 4.783630e-04 8.931615e-04 6.528546e-04 4.223901e-04 #>  [8650,] 1.491157e-05 3.133729e-05 2.323933e-05 1.621083e-05 1.416344e-05 #>  [8651,] 1.341037e-05 1.326179e-05 1.301728e-05 1.270939e-05 1.329522e-05 #>  [8652,] 2.879072e-05 3.487002e-05 5.805709e-05 5.303256e-05 4.654319e-05 #>  [8653,] 1.791558e-05 1.766066e-05 1.498690e-05 1.510162e-05 1.570619e-05 #>  [8654,] 1.382202e-05 1.373581e-05 1.331239e-05 1.368948e-05 1.363427e-05 #>  [8655,] 1.446020e-05 1.571321e-05 1.555132e-05 1.675253e-05 1.560264e-05 #>  [8656,] 1.182459e-05 1.134265e-05 1.194942e-05 1.397100e-05 1.439965e-05 #>  [8657,] 1.248779e-05 1.231889e-05 1.595482e-05 1.845972e-05 1.719932e-05 #>  [8658,] 1.668644e-05 1.656406e-05 1.899929e-05 2.039633e-05 1.991703e-05 #>  [8659,] 1.292260e-05 1.380265e-05 1.888491e-05 1.863979e-05 1.995028e-05 #>  [8660,] 4.830153e-04 5.413312e-04 6.362435e-04 4.831483e-04 4.521321e-04 #>  [8661,] 1.251853e-05 1.362749e-05 1.355630e-05 1.600208e-05 1.409568e-05 #>  [8662,] 1.385843e-05 1.388578e-05 1.627812e-05 1.853832e-05 1.995360e-05 #>  [8663,] 5.570099e-05 5.495132e-05 7.761965e-05 2.432558e-05 4.223899e-05 #>  [8664,] 2.907562e-05 2.918658e-05 2.653325e-05 2.610641e-05 2.722320e-05 #>  [8665,] 1.472905e-05 1.462789e-05 1.819192e-05 2.079420e-05 2.661280e-05 #>  [8666,] 5.910217e-05 6.180707e-05 9.587241e-05 1.450124e-04 1.785915e-04 #>  [8667,] 1.269066e-04 1.553916e-04 1.476349e-04 1.093834e-04 8.909777e-05 #>  [8668,] 1.260991e-05 1.438519e-05 1.546644e-05 1.346345e-05 1.459667e-05 #>  [8669,] 1.417482e-05 1.446298e-05 1.453945e-05 1.503196e-05 1.604969e-05 #>  [8670,] 2.414023e-05 2.448639e-05 1.833124e-05 2.011465e-05 2.092467e-05 #>  [8671,] 2.311716e-04 8.574900e-05 6.302948e-05 8.847539e-05 6.595018e-05 #>  [8672,] 2.837059e-05 2.907542e-05 2.500738e-05 2.787051e-05 2.543408e-05 #>  [8673,] 2.293769e-05 4.054668e-05 4.279561e-05 3.699515e-05 3.389795e-05 #>  [8674,] 5.316988e-05 6.750765e-05 4.776864e-05 4.313338e-05 3.179356e-05 #>  [8675,] 3.847448e-05 4.271359e-05 2.916137e-05 3.322227e-05 3.992134e-05 #>  [8676,] 2.250927e-05 1.642806e-05 1.682508e-05 1.687454e-05 1.767761e-05 #>  [8677,] 1.077232e-05 1.007671e-05 1.049401e-05 1.077476e-05 1.282386e-05 #>  [8678,] 1.213606e-05 1.282876e-05 1.336451e-05 1.361611e-05 1.497419e-05 #>  [8679,] 1.140038e-05 1.128924e-05 1.096711e-05 1.206540e-05 1.255573e-05 #>  [8680,] 1.210426e-05 1.210695e-05 1.222225e-05 1.344927e-05 1.618446e-05 #>  [8681,] 1.131771e-05 1.149244e-05 1.133919e-05 1.245582e-05 1.282016e-05 #>  [8682,] 1.871840e-05 1.660219e-05 1.429092e-05 1.429667e-05 1.519908e-05 #>  [8683,] 1.159353e-05 1.101192e-05 1.202252e-05 1.167032e-05 1.305462e-05 #>  [8684,] 1.299682e-05 1.385523e-05 1.313683e-05 1.488413e-05 1.573967e-05 #>  [8685,] 3.084918e-05 3.636754e-05 2.385850e-05 2.941522e-05 3.094156e-05 #>  [8686,] 1.154698e-05 1.319234e-05 1.376533e-05 1.333230e-05 1.546424e-05 #>  [8687,] 1.340098e-05 1.499557e-05 1.369468e-05 1.394178e-05 1.451509e-05 #>  [8688,] 1.371199e-05 1.370990e-05 1.371372e-05 1.547203e-05 1.617112e-05 #>  [8689,] 1.484070e-05 1.453580e-05 1.404193e-05 1.525689e-05 1.849872e-05 #>  [8690,] 1.348895e-05 1.309479e-05 1.418957e-05 1.442854e-05 1.551614e-05 #>  [8691,] 1.613749e-04 2.408970e-04 2.930439e-04 1.849198e-04 1.357493e-04 #>  [8692,] 3.738987e-05 3.267671e-05 2.757482e-05 2.938384e-05 2.302087e-05 #>  [8693,] 1.008682e-03 9.477345e-04 1.011911e-03 8.635491e-04 6.913317e-04 #>  [8694,] 5.242387e-04 7.581529e-04 1.093552e-03 8.824511e-04 6.816692e-04 #>  [8695,] 1.056267e-03 9.635879e-04 1.129706e-03 1.091461e-03 9.442568e-04 #>  [8696,] 1.944647e-05 2.226100e-05 1.728797e-05 1.698297e-05 1.730633e-05 #>  [8697,] 2.460568e-05 2.162106e-05 2.841421e-05 4.452932e-05 6.121126e-05 #>  [8698,] 1.252340e-05 1.382085e-05 1.517380e-05 1.611059e-05 1.602445e-05 #>  [8699,] 1.239699e-05 1.307272e-05 1.384795e-05 1.326401e-05 1.378080e-05 #>  [8700,] 1.512962e-04 1.231340e-04 1.577970e-04 1.465067e-04 1.027575e-04 #>  [8701,] 1.203786e-05 1.153270e-05 1.163451e-05 1.272684e-05 1.404921e-05 #>  [8702,] 1.403930e-05 1.300081e-05 1.411203e-05 1.478115e-05 1.734067e-05 #>  [8703,] 1.110189e-05 1.168728e-05 1.282762e-05 1.338525e-05 1.436300e-05 #>  [8704,] 3.411019e-05 3.061574e-05 1.463404e-05 1.693774e-05 1.903069e-05 #>  [8705,] 1.209082e-05 1.123446e-05 1.253783e-05 1.272015e-05 1.205693e-05 #>  [8706,] 1.573109e-05 1.622805e-05 1.573452e-05 1.566191e-05 1.553739e-05 #>  [8707,] 1.128347e-05 1.036619e-05 1.221244e-05 1.211622e-05 1.143776e-05 #>  [8708,] 1.445295e-05 1.536707e-05 2.712633e-05 2.828523e-05 2.008581e-05 #>  [8709,] 1.282741e-05 1.250632e-05 1.285065e-05 1.382091e-05 1.531636e-05 #>  [8710,] 1.347211e-05 1.383669e-05 1.224434e-05 1.358986e-05 1.454270e-05 #>  [8711,] 1.665784e-05 1.928310e-05 3.250666e-05 3.152368e-05 5.035147e-05 #>  [8712,] 1.162022e-05 1.175104e-05 1.347737e-05 1.448437e-05 1.335425e-05 #>  [8713,] 1.189565e-04 9.847150e-05 6.080730e-05 5.289276e-05 5.586704e-05 #>  [8714,] 1.728894e-05 2.139464e-05 2.550347e-05 3.258060e-05 2.587677e-05 #>  [8715,] 9.626960e-05 8.458011e-05 5.015048e-05 6.975194e-05 5.540309e-05 #>  [8716,] 1.278764e-05 1.215527e-05 1.328413e-05 1.538095e-05 1.604416e-05 #>  [8717,] 6.190914e-05 4.542789e-05 6.560148e-05 7.646166e-05 5.673942e-05 #>  [8718,] 4.363170e-05 2.437472e-05 3.769807e-05 2.838957e-05 2.185860e-05 #>  [8719,] 1.205624e-05 1.313255e-05 1.181507e-05 1.215567e-05 1.287831e-05 #>  [8720,] 1.677985e-05 1.343996e-05 1.374118e-05 1.413398e-05 1.433984e-05 #>  [8721,] 1.636775e-05 1.877028e-05 2.483575e-05 2.670302e-05 2.604011e-05 #>  [8722,] 1.391068e-05 1.325726e-05 1.541858e-05 1.404341e-05 1.309229e-05 #>  [8723,] 1.831430e-05 2.493131e-05 2.261491e-05 2.090999e-05 1.945303e-05 #>  [8724,] 1.298326e-05 1.454750e-05 1.374070e-05 1.392976e-05 1.614770e-05 #>  [8725,] 1.862591e-05 1.658608e-05 1.512980e-05 1.668397e-05 1.565618e-05 #>  [8726,] 4.136156e-05 6.358480e-05 9.885487e-05 1.061432e-04 1.088099e-04 #>  [8727,] 8.637833e-05 7.883462e-05 8.043177e-05 7.060271e-05 6.767179e-05 #>  [8728,] 1.326382e-05 1.284244e-05 1.287868e-05 1.500360e-05 1.474040e-05 #>  [8729,] 2.647761e-05 2.869984e-05 3.798398e-05 4.435893e-05 4.465210e-05 #>  [8730,] 2.238145e-05 2.299642e-05 2.080656e-05 2.171047e-05 2.022413e-05 #>  [8731,] 5.078530e-05 6.731198e-05 1.490634e-05 1.634916e-05 1.537598e-05 #>  [8732,] 1.953793e-05 2.025776e-05 2.282532e-05 2.397610e-05 2.303499e-05 #>  [8733,] 2.494251e-05 3.548537e-05 2.154103e-05 2.044708e-05 3.143120e-05 #>  [8734,] 1.840855e-05 2.296150e-05 2.049396e-05 1.930480e-05 2.190126e-05 #>  [8735,] 1.332354e-05 1.305931e-05 1.399937e-05 1.531559e-05 1.497344e-05 #>  [8736,] 1.513668e-05 1.734230e-05 2.180250e-05 2.306718e-05 2.627673e-05 #>  [8737,] 1.828830e-05 1.698098e-05 1.556285e-05 1.599015e-05 1.466360e-05 #>  [8738,] 1.229467e-05 1.328275e-05 1.436097e-05 1.440810e-05 1.362107e-05 #>  [8739,] 1.184551e-05 1.210750e-05 1.266702e-05 1.395162e-05 1.460508e-05 #>  [8740,] 1.206719e-05 1.335027e-05 1.282622e-05 1.393207e-05 1.335115e-05 #>  [8741,] 1.265005e-05 1.188100e-05 1.409787e-05 1.519122e-05 1.498916e-05 #>  [8742,] 4.836642e-05 4.805747e-05 4.139505e-05 3.390459e-05 2.323081e-05 #>  [8743,] 6.200404e-05 4.656758e-05 4.177513e-05 4.591027e-05 3.352291e-05 #>  [8744,] 1.318671e-05 1.411685e-05 1.662996e-05 1.567013e-05 1.644018e-05 #>  [8745,] 2.609870e-05 2.199564e-05 2.499163e-05 2.445274e-05 2.718223e-05 #>  [8746,] 5.675600e-05 6.775615e-05 9.391302e-05 9.133506e-05 1.302661e-04 #>  [8747,] 3.066432e-05 3.163857e-05 2.784309e-05 2.836941e-05 3.128169e-05 #>  [8748,] 2.351823e-04 1.411847e-04 6.024475e-05 5.415489e-05 4.603353e-05 #>  [8749,] 5.690306e-05 1.337129e-05 1.426368e-05 1.350001e-05 1.465072e-05 #>  [8750,] 8.618313e-05 4.003233e-05 6.067952e-05 5.170904e-05 6.629914e-05 #>  [8751,] 1.910184e-05 1.801643e-05 2.218733e-05 2.249713e-05 2.480190e-05 #>  [8752,] 1.693625e-05 1.730153e-05 1.582892e-05 1.523856e-05 1.576847e-05 #>  [8753,] 1.765576e-05 2.304731e-05 2.481155e-05 2.673503e-05 3.493624e-05 #>  [8754,] 1.082704e-05 1.037921e-05 1.090291e-05 1.058690e-05 1.057529e-05 #>  [8755,] 1.273687e-05 1.180771e-05 1.230208e-05 1.324329e-05 1.515572e-05 #>  [8756,] 2.140162e-05 1.419668e-05 1.593739e-05 1.845485e-05 1.836311e-05 #>  [8757,] 3.821467e-05 3.064321e-05 2.433710e-05 2.669242e-05 2.590587e-05 #>  [8758,] 1.197124e-05 1.215036e-05 1.571290e-05 1.391181e-05 1.277889e-05 #>  [8759,] 1.168793e-05 1.153412e-05 1.169124e-05 1.352606e-05 1.435448e-05 #>  [8760,] 6.105818e-05 3.757913e-05 5.192518e-05 5.658010e-05 7.967142e-05 #>  [8761,] 3.951267e-05 2.272957e-05 3.656475e-05 5.671986e-05 2.996420e-05 #>  [8762,] 1.460487e-05 1.538783e-05 1.625000e-05 1.622791e-05 1.511082e-05 #>  [8763,] 1.996895e-05 2.278182e-05 1.787667e-05 1.616570e-05 1.627307e-05 #>  [8764,] 1.207891e-05 1.295055e-05 1.623661e-05 1.540885e-05 1.261666e-05 #>  [8765,] 8.373329e-05 9.790701e-05 6.532676e-05 7.549137e-05 4.137975e-05 #>  [8766,] 2.075474e-05 2.190359e-05 2.152820e-05 2.520410e-05 2.472285e-05 #>  [8767,] 4.432729e-05 2.112126e-05 3.413308e-05 4.776092e-05 6.100427e-05 #>  [8768,] 9.818312e-06 1.019348e-05 1.116043e-05 1.113938e-05 1.086931e-05 #>  [8769,] 1.236213e-05 1.275943e-05 1.300006e-05 1.364098e-05 1.511649e-05 #>  [8770,] 1.909789e-05 1.756647e-05 2.452198e-05 2.077861e-05 1.525869e-05 #>  [8771,] 7.303775e-05 4.858195e-05 3.529533e-05 6.022543e-05 6.193979e-05 #>  [8772,] 1.415508e-05 1.520977e-05 1.758087e-05 1.797125e-05 1.850549e-05 #>  [8773,] 7.077294e-05 7.829538e-05 1.797383e-04 1.490007e-04 9.768828e-05 #>  [8774,] 1.377530e-05 1.782659e-05 1.811873e-05 1.659361e-05 2.067463e-05 #>  [8775,] 1.349479e-05 1.534983e-05 2.408011e-05 4.090673e-05 7.153098e-05 #>  [8776,] 1.143039e-05 1.184472e-05 1.335456e-05 1.331278e-05 1.476719e-05 #>  [8777,] 2.816317e-05 4.186388e-05 2.763300e-05 2.842044e-05 3.020197e-05 #>  [8778,] 2.100362e-05 1.981751e-05 1.745285e-05 2.247039e-05 2.445064e-05 #>  [8779,] 1.299132e-05 1.180810e-05 1.288538e-05 1.367973e-05 1.346264e-05 #>  [8780,] 1.967300e-05 2.720359e-05 2.849158e-05 2.411319e-05 2.245347e-05 #>  [8781,] 1.190390e-05 1.362560e-05 2.395898e-05 2.679912e-05 4.277533e-05 #>  [8782,] 1.333414e-05 1.482003e-05 1.778694e-05 2.049682e-05 1.979227e-05 #>  [8783,] 1.143205e-05 1.137207e-05 1.204107e-05 1.307287e-05 1.600283e-05 #>  [8784,] 1.413231e-05 1.454229e-05 1.414278e-05 1.521667e-05 1.482781e-05 #>  [8785,] 1.199295e-05 1.285797e-05 1.562857e-05 1.397393e-05 1.463804e-05 #>  [8786,] 1.155502e-05 1.104284e-05 1.112907e-05 1.138050e-05 1.239136e-05 #>  [8787,] 1.605946e-05 1.786500e-05 1.446218e-05 1.466331e-05 1.608504e-05 #>  [8788,] 1.149265e-05 1.144261e-05 1.201011e-05 1.141483e-05 1.176450e-05 #>  [8789,] 1.157644e-05 1.099253e-05 1.103950e-05 1.231670e-05 1.312666e-05 #>  [8790,] 1.182980e-05 1.291478e-05 1.384044e-05 1.444778e-05 1.554262e-05 #>  [8791,] 1.254421e-05 1.287120e-05 1.441895e-05 1.392069e-05 1.520777e-05 #>  [8792,] 1.159222e-05 1.103823e-05 1.037833e-05 1.108271e-05 1.137358e-05 #>  [8793,] 1.497633e-04 1.380953e-04 6.906502e-05 6.052363e-05 7.322350e-05 #>  [8794,] 1.183237e-05 1.182490e-05 1.157391e-05 1.272019e-05 1.299110e-05 #>  [8795,] 1.146632e-05 1.114747e-05 1.227169e-05 1.562962e-05 1.634291e-05 #>  [8796,] 1.229190e-05 1.383863e-05 1.423786e-05 1.368191e-05 1.612556e-05 #>  [8797,] 1.211190e-05 1.210174e-05 1.435751e-05 1.327582e-05 1.347652e-05 #>  [8798,] 1.862529e-05 1.915857e-05 1.522405e-05 1.541518e-05 1.706124e-05 #>  [8799,] 1.496326e-05 1.683472e-05 1.492218e-05 1.518145e-05 1.760526e-05 #>  [8800,] 1.375987e-05 1.235538e-05 1.376439e-05 1.431536e-05 1.455503e-05 #>  [8801,] 1.681405e-05 2.769459e-05 2.447926e-05 1.871071e-05 2.044711e-05 #>  [8802,] 1.356120e-05 1.379522e-05 1.443885e-05 1.527067e-05 1.499658e-05 #>  [8803,] 1.025398e-05 1.018560e-05 1.155681e-05 1.233846e-05 1.207380e-05 #>  [8804,] 2.099638e-05 2.108618e-05 2.632589e-05 2.256984e-05 2.745871e-05 #>  [8805,] 1.267550e-05 1.858929e-05 1.309959e-05 1.298260e-05 1.318739e-05 #>  [8806,] 1.365431e-05 1.273309e-05 1.279025e-05 1.426724e-05 1.452445e-05 #>  [8807,] 1.722602e-05 1.612948e-05 1.552945e-05 1.600658e-05 1.724162e-05 #>  [8808,] 1.450198e-05 1.361815e-05 2.061188e-05 1.707480e-05 1.470459e-05 #>  [8809,] 2.305132e-05 2.678302e-05 2.852326e-05 2.199117e-05 2.159034e-05 #>  [8810,] 1.068774e-05 1.062670e-05 1.182210e-05 1.137516e-05 1.188142e-05 #>  [8811,] 1.115541e-05 1.146480e-05 1.268490e-05 1.412483e-05 1.466679e-05 #>  [8812,] 2.397855e-04 1.372856e-04 6.419870e-05 5.161416e-05 4.383817e-05 #>  [8813,] 1.599130e-05 1.689414e-05 1.946535e-05 1.964578e-05 2.450251e-05 #>  [8814,] 1.129603e-05 1.121703e-05 1.290839e-05 1.552150e-05 1.609389e-05 #>  [8815,] 2.885090e-04 4.472657e-04 3.563857e-04 1.782011e-04 1.738593e-04 #>  [8816,] 6.668871e-05 1.177568e-04 3.560158e-05 3.246865e-05 2.134551e-05 #>  [8817,] 1.701548e-05 1.830444e-05 1.803114e-05 2.326873e-05 2.680651e-05 #>  [8818,] 2.456660e-05 3.595384e-05 2.321846e-05 2.236872e-05 1.944195e-05 #>  [8819,] 1.849644e-05 1.823464e-05 1.562392e-05 1.890410e-05 1.831368e-05 #>  [8820,] 1.414899e-05 1.271916e-05 1.453826e-05 1.509305e-05 1.503302e-05 #>  [8821,] 1.319549e-05 1.242519e-05 1.350193e-05 1.604825e-05 1.712435e-05 #>  [8822,] 1.594459e-05 1.503818e-05 1.543464e-05 1.710097e-05 1.626018e-05 #>  [8823,] 1.295958e-05 1.430644e-05 1.807474e-05 1.735054e-05 1.952725e-05 #>  [8824,] 1.413107e-05 1.450929e-05 1.421573e-05 1.549001e-05 1.546898e-05 #>  [8825,] 1.478613e-05 1.432088e-05 1.490034e-05 1.583625e-05 1.613695e-05 #>  [8826,] 1.958429e-05 1.926216e-05 1.324309e-05 1.254564e-05 1.354134e-05 #>  [8827,] 1.155753e-05 1.127531e-05 1.244899e-05 1.335273e-05 1.156414e-05 #>  [8828,] 1.199042e-05 1.269566e-05 1.277968e-05 1.424032e-05 1.471517e-05 #>  [8829,] 1.150665e-05 1.135354e-05 1.180525e-05 1.091703e-05 1.262510e-05 #>  [8830,] 1.604357e-05 1.556595e-05 1.373706e-05 1.543521e-05 1.419106e-05 #>  [8831,] 1.173320e-05 1.268132e-05 1.340756e-05 1.556801e-05 1.446746e-05 #>  [8832,] 1.171820e-05 1.179961e-05 1.277155e-05 1.509815e-05 1.564655e-05 #>  [8833,] 1.742837e-05 1.544713e-05 1.188692e-05 1.345247e-05 1.436383e-05 #>  [8834,] 1.458188e-05 1.448307e-05 1.551436e-05 1.619023e-05 1.610827e-05 #>  [8835,] 1.269921e-05 1.268674e-05 1.362010e-05 1.465110e-05 1.392881e-05 #>  [8836,] 9.106121e-05 8.496404e-05 1.037773e-04 9.859635e-05 8.311225e-05 #>  [8837,] 1.012055e-03 1.041913e-03 1.031485e-03 1.035509e-03 1.027684e-03 #>  [8838,] 1.127801e-05 1.220087e-05 1.137739e-05 1.179401e-05 1.237708e-05 #>  [8839,] 1.415492e-05 1.357974e-05 1.315282e-05 1.508591e-05 1.605137e-05 #>  [8840,] 9.866978e-05 1.015835e-04 9.144804e-05 1.016960e-04 8.958983e-05 #>  [8841,] 1.193507e-05 1.218335e-05 1.430942e-05 1.638981e-05 1.751820e-05 #>  [8842,] 2.171657e-05 2.288406e-05 1.876607e-05 1.991732e-05 1.997657e-05 #>  [8843,] 1.201978e-05 1.203767e-05 1.204200e-05 1.218585e-05 1.226747e-05 #>  [8844,] 1.591758e-05 1.567608e-05 1.516877e-05 1.617558e-05 1.741334e-05 #>  [8845,] 1.137111e-05 1.201506e-05 1.117074e-05 1.237687e-05 1.245281e-05 #>  [8846,] 1.495751e-05 1.527957e-05 1.546552e-05 1.495634e-05 1.526157e-05 #>  [8847,] 1.402880e-05 1.512063e-05 1.615672e-05 1.660522e-05 1.739138e-05 #>  [8848,] 1.251104e-05 1.266275e-05 1.312419e-05 1.388960e-05 1.565933e-05 #>  [8849,] 5.258042e-04 4.085436e-04 1.159051e-04 8.936749e-05 7.012924e-05 #>  [8850,] 1.363089e-05 1.200952e-05 1.177923e-05 1.224788e-05 1.201831e-05 #>  [8851,] 1.703071e-05 1.552494e-05 1.536268e-05 1.565517e-05 1.775252e-05 #>  [8852,] 1.024753e-03 9.929849e-04 1.065811e-03 1.135003e-03 1.006368e-03 #>  [8853,] 1.248128e-05 1.290256e-05 1.368771e-05 1.314432e-05 1.386479e-05 #>  [8854,] 1.232952e-05 1.310309e-05 1.194559e-05 1.409979e-05 1.441882e-05 #>  [8855,] 1.070561e-05 1.067249e-05 1.051305e-05 1.111856e-05 1.081324e-05 #>  [8856,] 1.375168e-05 1.404307e-05 1.577253e-05 1.767875e-05 1.998456e-05 #>  [8857,] 1.060237e-04 1.502623e-04 5.858579e-05 5.726121e-05 7.300565e-05 #>  [8858,] 1.459673e-05 1.650534e-05 1.662658e-05 1.686440e-05 1.636293e-05 #>  [8859,] 4.619316e-05 5.505035e-05 7.545637e-05 7.874006e-05 9.112752e-05 #>  [8860,] 1.452255e-05 1.402262e-05 1.834492e-05 2.115786e-05 2.019198e-05 #>  [8861,] 1.322993e-04 1.776600e-04 2.469220e-04 2.091735e-04 2.131230e-04 #>  [8862,] 1.339315e-05 1.398086e-05 1.289865e-05 1.484826e-05 1.626533e-05 #>  [8863,] 1.440068e-05 1.799205e-05 3.191261e-05 3.045548e-05 2.583017e-05 #>  [8864,] 1.118845e-05 1.078179e-05 1.119600e-05 1.067754e-05 1.125577e-05 #>  [8865,] 1.160121e-05 1.212220e-05 1.228986e-05 1.355684e-05 1.522810e-05 #>  [8866,] 1.234440e-05 1.159762e-05 1.129371e-05 1.432206e-05 1.558956e-05 #>  [8867,] 1.265995e-05 1.184370e-05 1.210872e-05 1.351018e-05 1.541227e-05 #>  [8868,] 1.121838e-04 1.051955e-04 4.946722e-05 4.903383e-05 4.975782e-05 #>  [8869,] 6.333766e-05 4.588651e-05 3.079915e-05 2.834404e-05 3.092165e-05 #>  [8870,] 5.545862e-05 5.301114e-05 3.003541e-05 3.323119e-05 2.944930e-05 #>  [8871,] 2.299724e-05 2.230359e-05 2.025923e-05 2.243063e-05 2.133889e-05 #>  [8872,] 6.017890e-05 6.035393e-05 7.602986e-05 7.690308e-05 5.134628e-05 #>  [8873,] 5.721081e-05 5.829387e-05 4.161900e-05 5.810736e-05 5.272476e-05 #>  [8874,] 1.266270e-05 1.257071e-05 1.240209e-05 1.486968e-05 1.588106e-05 #>  [8875,] 1.671682e-05 2.116100e-05 5.084176e-05 3.434409e-05 3.182867e-05 #>  [8876,] 1.256322e-05 1.306920e-05 1.397316e-05 1.442959e-05 1.400008e-05 #>  [8877,] 1.257344e-05 1.364752e-05 1.401701e-05 1.492686e-05 1.393642e-05 #>  [8878,] 1.471063e-05 2.577003e-05 3.526489e-05 2.297528e-05 2.135873e-05 #>  [8879,] 2.709387e-05 2.702833e-05 2.074023e-05 1.871718e-05 1.346045e-05 #>  [8880,] 1.465377e-05 1.542387e-05 1.404935e-05 1.631648e-05 1.641275e-05 #>  [8881,] 2.155554e-05 2.612123e-05 2.238970e-05 2.347950e-05 2.483750e-05 #>  [8882,] 4.111886e-04 6.470368e-04 9.156953e-04 6.929888e-04 6.115048e-04 #>  [8883,] 2.007092e-05 2.157016e-05 2.199835e-05 2.055035e-05 2.434548e-05 #>  [8884,] 1.206406e-05 1.276420e-05 1.373227e-05 1.426796e-05 1.563585e-05 #>  [8885,] 1.250914e-05 1.206848e-05 1.446018e-05 1.538036e-05 1.464978e-05 #>  [8886,] 1.199846e-05 1.267486e-05 1.253525e-05 1.246413e-05 1.281414e-05 #>  [8887,] 1.101071e-05 1.155562e-05 1.158292e-05 1.149453e-05 1.153586e-05 #>  [8888,] 2.018212e-05 2.041337e-05 2.743468e-05 2.068473e-05 1.838553e-05 #>  [8889,] 1.204005e-05 1.197756e-05 1.208210e-05 1.211572e-05 1.292687e-05 #>  [8890,] 1.206060e-05 1.260956e-05 1.341581e-05 1.347429e-05 1.316741e-05 #>  [8891,] 1.623555e-05 1.642650e-05 1.812605e-05 1.874386e-05 2.758188e-05 #>  [8892,] 3.078276e-05 1.739525e-05 1.889070e-05 1.696880e-05 2.250825e-05 #>  [8893,] 1.762086e-05 1.755644e-05 2.152424e-05 2.080823e-05 2.260547e-05 #>  [8894,] 1.190540e-05 1.253593e-05 1.402939e-05 1.536232e-05 1.490810e-05 #>  [8895,] 1.645263e-05 1.621004e-05 1.809623e-05 2.015933e-05 2.206940e-05 #>  [8896,] 6.166857e-05 7.608802e-05 9.196442e-05 9.879055e-05 8.958712e-05 #>  [8897,] 1.440859e-05 1.526022e-05 1.504480e-05 1.643267e-05 2.023793e-05 #>  [8898,] 2.640856e-05 4.001786e-05 2.942921e-05 2.825660e-05 3.767464e-05 #>  [8899,] 1.614464e-05 1.831418e-05 1.486968e-05 1.469153e-05 1.790067e-05 #>  [8900,] 1.236515e-05 1.201935e-05 1.303025e-05 1.422579e-05 1.426144e-05 #>  [8901,] 1.740000e-05 1.691800e-05 1.439569e-05 1.593736e-05 1.594478e-05 #>  [8902,] 1.250202e-05 1.113245e-05 1.113841e-05 1.337148e-05 1.409280e-05 #>  [8903,] 1.548745e-05 1.560636e-05 1.462830e-05 1.276976e-05 1.429672e-05 #>  [8904,] 1.238814e-05 1.244429e-05 1.282252e-05 1.319403e-05 1.339133e-05 #>  [8905,] 1.312866e-05 1.262561e-05 1.280208e-05 1.513184e-05 1.534482e-05 #>  [8906,] 2.281277e-05 2.308892e-05 2.002844e-05 2.187349e-05 2.110459e-05 #>  [8907,] 1.182977e-05 1.229197e-05 1.263836e-05 1.256495e-05 1.230981e-05 #>  [8908,] 8.027896e-05 7.090995e-05 1.129948e-04 9.344418e-05 6.732791e-05 #>  [8909,] 1.225828e-05 1.385334e-05 1.369573e-05 1.349347e-05 1.505173e-05 #>  [8910,] 1.380894e-05 1.303800e-05 1.276159e-05 1.378707e-05 1.345781e-05 #>  [8911,] 1.427248e-05 1.515215e-05 1.504192e-05 1.420161e-05 1.470819e-05 #>  [8912,] 1.666629e-05 1.675024e-05 4.232008e-05 4.778797e-05 6.231508e-05 #>  [8913,] 1.594939e-05 3.233716e-05 5.378483e-05 4.617173e-05 5.498177e-05 #>  [8914,] 1.465695e-05 1.352691e-05 1.427736e-05 1.540189e-05 1.527081e-05 #>  [8915,] 5.128552e-05 7.748115e-05 1.370883e-04 1.034986e-04 7.401948e-05 #>  [8916,] 1.351822e-05 1.350749e-05 1.269988e-05 1.368182e-05 1.380402e-05 #>  [8917,] 1.511866e-05 1.499526e-05 2.224811e-05 2.229608e-05 1.866948e-05 #>  [8918,] 1.177712e-05 1.089741e-05 1.130623e-05 1.523042e-05 1.696261e-05 #>  [8919,] 1.198801e-05 1.149493e-05 1.344861e-05 1.479617e-05 1.683608e-05 #>  [8920,] 4.230600e-05 3.236339e-05 7.073042e-05 7.560844e-05 6.726627e-05 #>  [8921,] 1.618288e-05 2.241786e-05 3.000029e-05 3.599602e-05 4.521085e-05 #>  [8922,] 1.565025e-05 2.080286e-05 2.260834e-05 2.167562e-05 2.169368e-05 #>  [8923,] 1.112523e-05 1.064143e-05 1.187853e-05 1.256853e-05 1.212907e-05 #>  [8924,] 1.277538e-05 1.295553e-05 1.277794e-05 1.321228e-05 1.449939e-05 #>  [8925,] 1.213880e-05 1.150471e-05 1.241841e-05 1.372971e-05 1.394651e-05 #>  [8926,] 1.855185e-05 1.955437e-05 1.470169e-05 1.738454e-05 1.602392e-05 #>  [8927,] 1.621922e-05 1.823893e-05 1.801756e-05 2.237886e-05 2.023907e-05 #>  [8928,] 1.398615e-05 1.431253e-05 1.545387e-05 1.625929e-05 2.084911e-05 #>  [8929,] 2.786368e-04 3.094986e-04 2.140356e-04 1.498415e-04 1.433702e-04 #>  [8930,] 2.732041e-05 3.576313e-05 4.721353e-05 6.132260e-05 7.566673e-05 #>  [8931,] 1.662943e-05 2.210843e-05 2.350408e-05 1.965266e-05 1.720821e-05 #>  [8932,] 1.331731e-05 1.659524e-05 2.090772e-05 1.609054e-05 1.740114e-05 #>  [8933,] 5.270116e-05 1.094987e-04 6.361904e-05 6.296917e-05 7.334714e-05 #>  [8934,] 2.505134e-05 2.097919e-05 1.646144e-05 1.918547e-05 1.928909e-05 #>  [8935,] 9.756344e-05 5.594068e-05 2.534409e-05 2.487096e-05 1.887494e-05 #>  [8936,] 1.605853e-05 1.478031e-05 1.900529e-05 1.922975e-05 1.747248e-05 #>  [8937,] 1.903245e-05 2.079303e-05 2.593119e-05 1.925218e-05 1.816196e-05 #>  [8938,] 4.522448e-05 6.196338e-05 7.866506e-05 7.565755e-05 7.048939e-05 #>  [8939,] 1.387230e-05 1.747778e-05 2.057686e-05 1.846920e-05 1.767638e-05 #>  [8940,] 1.190356e-05 1.314253e-05 1.522528e-05 1.425847e-05 1.507806e-05 #>  [8941,] 4.306834e-05 6.125416e-05 8.119999e-05 8.126821e-05 6.349371e-05 #>  [8942,] 2.615908e-04 2.098205e-04 3.417874e-05 3.118052e-05 2.898079e-05 #>  [8943,] 1.413784e-05 1.262495e-05 1.459623e-05 1.616242e-05 1.550211e-05 #>  [8944,] 1.098393e-05 1.059730e-05 1.036183e-05 1.092349e-05 1.046310e-05 #>  [8945,] 6.765358e-05 7.014674e-05 1.074270e-04 2.255321e-04 3.263191e-04 #>  [8946,] 1.333141e-05 1.361176e-05 1.558109e-05 1.546532e-05 1.486084e-05 #>  [8947,] 4.923658e-05 3.700413e-05 6.766038e-05 5.058478e-05 5.060010e-05 #>  [8948,] 1.352259e-05 1.370456e-05 1.481199e-05 1.770828e-05 1.524185e-05 #>  [8949,] 1.245774e-05 1.295083e-05 1.386561e-05 1.420118e-05 1.482738e-05 #>  [8950,] 2.607991e-05 4.057858e-05 6.102905e-05 6.567870e-05 5.248345e-05 #>  [8951,] 1.497833e-05 1.484481e-05 1.604913e-05 1.747888e-05 1.737994e-05 #>  [8952,] 2.486373e-05 4.116581e-05 2.730817e-05 2.684252e-05 4.216446e-05 #>  [8953,] 1.800153e-05 2.406375e-05 3.869073e-05 4.482455e-05 6.005266e-05 #>  [8954,] 2.240710e-05 2.506376e-05 2.459400e-05 3.007367e-05 3.608383e-05 #>  [8955,] 2.010852e-05 2.185272e-05 1.454918e-05 1.517849e-05 1.397989e-05 #>  [8956,] 3.073587e-05 3.217416e-05 3.590343e-05 3.312675e-05 2.967619e-05 #>  [8957,] 4.076786e-05 4.464754e-05 1.723114e-05 1.927976e-05 1.877605e-05 #>  [8958,] 1.751316e-05 1.806589e-05 1.684688e-05 1.985057e-05 1.813233e-05 #>  [8959,] 1.491787e-05 1.622813e-05 1.697911e-05 1.744888e-05 1.734668e-05 #>  [8960,] 1.443847e-05 1.235536e-05 1.246428e-05 1.580064e-05 1.406212e-05 #>  [8961,] 2.430096e-05 2.933279e-05 4.172980e-05 5.725187e-05 7.378003e-05 #>  [8962,] 1.300132e-05 1.426198e-05 1.500802e-05 1.738393e-05 1.841888e-05 #>  [8963,] 8.730843e-05 1.038725e-04 9.744658e-05 1.164400e-04 1.129688e-04 #>  [8964,] 2.747352e-05 2.622100e-05 2.598204e-05 3.230581e-05 2.815188e-05 #>  [8965,] 1.308171e-04 1.458008e-04 8.350357e-05 6.417375e-05 7.138976e-05 #>  [8966,] 1.557022e-05 1.507584e-05 1.652487e-05 1.750685e-05 1.591894e-05 #>  [8967,] 2.335367e-04 3.048095e-04 4.057077e-04 3.667310e-04 4.162767e-04 #>  [8968,] 1.376538e-05 1.379824e-05 1.488023e-05 1.761085e-05 1.983812e-05 #>  [8969,] 1.308047e-05 1.259358e-05 1.367447e-05 1.567697e-05 1.686067e-05 #>  [8970,] 1.800648e-05 1.960795e-05 2.291837e-05 2.337228e-05 2.515116e-05 #>  [8971,] 1.159326e-05 1.212425e-05 1.483216e-05 1.495563e-05 1.614079e-05 #>  [8972,] 1.980074e-05 2.166711e-05 3.739690e-05 2.823317e-05 2.528718e-05 #>  [8973,] 1.998065e-05 2.155187e-05 4.454957e-05 4.717147e-05 3.577212e-05 #>  [8974,] 1.417858e-05 1.452689e-05 1.838627e-05 1.856702e-05 1.935046e-05 #>  [8975,] 6.011380e-05 5.093728e-05 2.551395e-05 2.812642e-05 2.425490e-05 #>  [8976,] 4.722925e-05 4.519883e-05 4.984752e-05 3.917729e-05 2.937967e-05 #>  [8977,] 2.201472e-05 2.543391e-05 1.968955e-05 2.209669e-05 2.625881e-05 #>  [8978,] 1.597155e-05 1.709419e-05 2.502033e-05 2.742641e-05 3.300774e-05 #>  [8979,] 6.641161e-05 6.137718e-05 1.535283e-04 1.194829e-04 1.221944e-04 #>  [8980,] 1.617225e-05 1.463032e-05 1.569248e-05 1.510137e-05 1.456337e-05 #>  [8981,] 1.430442e-05 1.311234e-05 1.466988e-05 1.619095e-05 1.415812e-05 #>  [8982,] 4.259165e-05 5.410206e-05 4.801102e-05 5.102145e-05 4.268406e-05 #>  [8983,] 1.335078e-05 1.237823e-05 1.344196e-05 1.489136e-05 1.685528e-05 #>  [8984,] 7.550824e-05 3.002002e-05 3.383372e-05 4.139902e-05 3.624253e-05 #>  [8985,] 3.345197e-05 5.287437e-05 1.219559e-04 1.357966e-04 1.963192e-04 #>  [8986,] 3.054284e-05 3.224162e-05 6.314252e-05 4.681625e-05 6.408862e-05 #>  [8987,] 1.171197e-05 1.200721e-05 1.360848e-05 1.494637e-05 1.577921e-05 #>  [8988,] 1.029278e-03 9.592307e-04 7.421965e-04 7.541013e-04 7.103688e-04 #>  [8989,] 1.111451e-04 1.045328e-04 7.784380e-05 7.538331e-05 6.147283e-05 #>  [8990,] 6.069147e-05 6.696977e-05 8.417046e-05 7.845318e-05 1.068201e-04 #>  [8991,] 4.029511e-05 3.158169e-05 3.481739e-05 3.566609e-05 3.574259e-05 #>  [8992,] 2.016065e-05 1.991531e-05 2.215999e-05 2.738144e-05 2.533291e-05 #>  [8993,] 1.348364e-05 1.421871e-05 1.424382e-05 1.472446e-05 1.571649e-05 #>  [8994,] 1.508033e-05 1.406211e-05 1.602418e-05 1.599844e-05 1.879555e-05 #>  [8995,] 1.578290e-05 1.671698e-05 2.692260e-05 3.395753e-05 4.892891e-05 #>  [8996,] 3.341238e-05 2.943358e-05 7.127722e-05 7.322717e-05 5.364288e-05 #>  [8997,] 1.063450e-05 1.101313e-05 1.206423e-05 1.168012e-05 1.270019e-05 #>  [8998,] 3.993495e-04 3.156671e-04 3.070679e-04 2.898788e-04 2.679786e-04 #>  [8999,] 1.322073e-05 1.295058e-05 1.422189e-05 1.470233e-05 1.531046e-05 #>  [9000,] 1.207639e-05 1.317160e-05 1.929166e-05 2.223290e-05 2.497872e-05 #>  [9001,] 1.282781e-05 1.325773e-05 1.292775e-05 1.392323e-05 1.559338e-05 #>  [9002,] 4.840152e-04 2.600086e-04 1.555043e-04 1.519105e-04 1.294088e-04 #>  [9003,] 1.492567e-05 1.567326e-05 1.836958e-05 1.853650e-05 1.976649e-05 #>  [9004,] 1.836573e-04 8.151804e-05 2.967292e-05 2.345156e-05 1.523763e-05 #>  [9005,] 1.571146e-05 1.660056e-05 1.667866e-05 1.660759e-05 1.895997e-05 #>  [9006,] 1.612522e-05 1.772125e-05 1.662070e-05 1.578106e-05 1.535203e-05 #>  [9007,] 3.533596e-05 3.360153e-05 4.448742e-05 4.296935e-05 4.351904e-05 #>  [9008,] 1.045657e-04 1.386858e-04 6.045582e-05 5.623649e-05 4.408791e-05 #>  [9009,] 2.126887e-05 1.707992e-05 2.211953e-05 1.505104e-05 1.791250e-05 #>  [9010,] 1.222936e-05 1.272993e-05 1.536377e-05 1.936820e-05 1.897920e-05 #>  [9011,] 4.212957e-05 3.757918e-05 4.636675e-05 4.702516e-05 3.329305e-05 #>  [9012,] 2.287503e-05 1.497118e-05 1.920936e-05 1.707849e-05 1.746527e-05 #>  [9013,] 6.614036e-05 4.866805e-05 7.301280e-05 8.503536e-05 9.789518e-05 #>  [9014,] 4.361801e-04 4.501563e-04 1.119972e-04 1.101233e-04 1.236052e-04 #>  [9015,] 2.397680e-05 2.103689e-05 1.622055e-05 1.745297e-05 1.653980e-05 #>  [9016,] 2.300611e-05 3.106122e-05 4.828459e-05 4.709718e-05 4.598525e-05 #>  [9017,] 1.450430e-05 1.302046e-05 1.631491e-05 1.678541e-05 1.662322e-05 #>  [9018,] 1.571904e-05 1.552025e-05 1.672388e-05 1.661956e-05 1.598148e-05 #>  [9019,] 6.477777e-05 5.945859e-05 6.623010e-05 6.456695e-05 4.337816e-05 #>  [9020,] 1.503072e-05 1.603883e-05 1.445800e-05 1.530856e-05 1.550942e-05 #>  [9021,] 2.257383e-05 2.226388e-05 2.096435e-05 2.097868e-05 1.967634e-05 #>  [9022,] 2.417660e-05 2.581510e-05 2.139878e-05 2.399035e-05 2.720717e-05 #>  [9023,] 1.496828e-05 1.225663e-05 1.319620e-05 1.315123e-05 1.406962e-05 #>  [9024,] 1.150577e-05 1.087702e-05 1.114930e-05 1.176881e-05 1.405653e-05 #>  [9025,] 1.709039e-05 1.994820e-05 1.896254e-05 2.124618e-05 2.220128e-05 #>  [9026,] 1.358393e-05 1.414017e-05 1.309190e-05 1.209705e-05 1.224902e-05 #>  [9027,] 2.927809e-05 2.042718e-05 2.820359e-05 2.833529e-05 2.767445e-05 #>  [9028,] 1.285807e-05 1.340661e-05 1.837377e-05 2.083564e-05 2.338912e-05 #>  [9029,] 1.177455e-05 1.338101e-05 1.228959e-05 1.538379e-05 1.447280e-05 #>  [9030,] 2.526850e-05 2.480485e-05 2.364255e-05 2.713211e-05 2.336250e-05 #>  [9031,] 1.635576e-05 1.693408e-05 1.911300e-05 1.956824e-05 2.257544e-05 #>  [9032,] 1.786161e-05 1.715422e-05 1.650183e-05 1.593956e-05 1.911510e-05 #>  [9033,] 1.225941e-05 1.339764e-05 1.447185e-05 1.390758e-05 1.455643e-05 #>  [9034,] 2.024378e-05 2.013732e-05 1.652384e-05 1.727969e-05 1.701785e-05 #>  [9035,] 2.711569e-05 2.636784e-05 2.142110e-05 2.063301e-05 2.085664e-05 #>  [9036,] 3.056071e-05 3.942217e-05 3.323332e-05 3.636367e-05 3.792929e-05 #>  [9037,] 5.518588e-04 2.565138e-04 7.346342e-05 7.993647e-05 6.271923e-05 #>  [9038,] 8.664555e-05 8.974497e-05 8.116117e-05 7.709974e-05 5.080868e-05 #>  [9039,] 1.812781e-05 1.628726e-05 1.747924e-05 2.103486e-05 2.281193e-05 #>  [9040,] 1.963217e-05 1.955154e-05 1.869028e-05 1.805627e-05 2.131076e-05 #>  [9041,] 4.001047e-05 4.017876e-05 3.170261e-05 3.519311e-05 3.511756e-05 #>  [9042,] 1.987620e-05 2.277753e-05 1.604675e-05 1.741832e-05 1.558312e-05 #>  [9043,] 1.209345e-05 1.229062e-05 1.255042e-05 1.279662e-05 1.269672e-05 #>  [9044,] 1.828245e-05 1.899192e-05 1.934439e-05 2.131503e-05 2.499449e-05 #>  [9045,] 1.490264e-05 1.595505e-05 2.748699e-05 3.354903e-05 2.887805e-05 #>  [9046,] 4.389753e-05 3.136217e-05 1.950526e-05 2.390181e-05 2.519125e-05 #>  [9047,] 2.769351e-04 2.724587e-04 3.823249e-04 4.276683e-04 2.837754e-04 #>  [9048,] 1.834060e-05 1.835948e-05 1.757769e-05 1.972940e-05 2.064148e-05 #>  [9049,] 1.659572e-05 2.263168e-05 1.846499e-05 1.461181e-05 1.444032e-05 #>  [9050,] 1.484677e-05 1.397088e-05 1.488355e-05 1.607164e-05 1.640401e-05 #>  [9051,] 1.322029e-05 1.406017e-05 1.661477e-05 2.068338e-05 3.127693e-05 #>  [9052,] 2.537812e-05 2.000193e-05 2.253038e-05 2.435170e-05 2.582656e-05 #>  [9053,] 3.103538e-05 3.183512e-05 2.072281e-05 2.369722e-05 2.095339e-05 #>  [9054,] 1.374924e-05 1.403632e-05 1.438126e-05 1.731630e-05 2.057313e-05 #>  [9055,] 1.646504e-05 1.563381e-05 1.516095e-05 1.660719e-05 1.734539e-05 #>  [9056,] 1.186122e-05 1.242505e-05 1.402900e-05 1.543930e-05 1.762257e-05 #>  [9057,] 2.241775e-05 1.791343e-05 1.615840e-05 1.755346e-05 1.672895e-05 #>  [9058,] 1.362527e-05 1.313025e-05 1.190666e-05 1.474619e-05 1.543255e-05 #>  [9059,] 1.249548e-05 1.243086e-05 1.409704e-05 1.607814e-05 1.573519e-05 #>  [9060,] 2.319822e-05 2.082375e-05 2.821311e-05 3.134825e-05 4.069951e-05 #>  [9061,] 1.652689e-04 2.497429e-04 1.841740e-04 2.021291e-04 2.238595e-04 #>  [9062,] 5.116636e-05 5.300836e-05 6.877837e-05 9.709905e-05 1.944366e-04 #>  [9063,] 1.371061e-05 1.254478e-05 1.319568e-05 1.575814e-05 1.373744e-05 #>  [9064,] 1.636117e-05 2.930787e-05 4.216567e-05 8.893823e-05 1.476707e-04 #>  [9065,] 4.233575e-05 4.523129e-05 3.303041e-05 3.599099e-05 4.140593e-05 #>  [9066,] 1.461883e-05 1.514193e-05 1.474408e-05 1.518143e-05 1.435327e-05 #>  [9067,] 4.396045e-05 8.421775e-05 5.128010e-05 5.385941e-05 3.478919e-05 #>  [9068,] 6.643073e-05 1.128768e-04 2.164808e-04 3.195211e-04 2.743722e-04 #>  [9069,] 1.176972e-05 1.339085e-05 1.364818e-05 1.375914e-05 1.393382e-05 #>  [9070,] 1.163334e-05 1.217244e-05 1.492852e-05 1.514222e-05 1.533632e-05 #>  [9071,] 1.166483e-05 1.116979e-05 1.227456e-05 1.295736e-05 1.440939e-05 #>  [9072,] 2.051774e-05 2.560704e-05 9.434521e-05 7.351853e-05 7.035023e-05 #>  [9073,] 3.090158e-05 3.058314e-05 2.202272e-05 2.187081e-05 1.978442e-05 #>  [9074,] 1.268350e-05 1.334012e-05 1.479134e-05 1.532414e-05 1.553565e-05 #>  [9075,] 1.319792e-05 1.430330e-05 3.150643e-05 2.596948e-05 1.549112e-05 #>  [9076,] 2.391833e-05 2.864743e-05 3.207125e-05 5.464235e-05 5.980120e-05 #>  [9077,] 1.365752e-05 1.626444e-05 2.018384e-05 2.235887e-05 2.474072e-05 #>  [9078,] 1.021896e-05 9.704849e-06 1.067113e-05 1.083859e-05 1.119689e-05 #>  [9079,] 1.313828e-05 1.288330e-05 1.169610e-05 1.155102e-05 1.315188e-05 #>  [9080,] 1.820553e-05 1.406095e-05 1.650095e-05 1.707510e-05 1.733547e-05 #>  [9081,] 1.397754e-05 1.558708e-05 1.564966e-05 1.635130e-05 1.692356e-05 #>  [9082,] 1.057408e-04 1.074440e-04 4.229702e-05 3.641732e-05 2.824585e-05 #>  [9083,] 2.267928e-05 2.232881e-05 1.918312e-05 2.236316e-05 2.242210e-05 #>  [9084,] 1.126231e-05 1.297933e-05 1.244008e-05 1.389364e-05 1.580973e-05 #>  [9085,] 1.235976e-05 1.217496e-05 1.298577e-05 1.500787e-05 1.547203e-05 #>  [9086,] 1.953170e-04 3.269194e-04 2.963965e-04 2.669542e-04 2.724876e-04 #>  [9087,] 1.737967e-04 2.195042e-04 2.909845e-04 2.171466e-04 1.818459e-04 #>  [9088,] 2.199381e-05 1.978649e-05 1.855650e-05 1.896123e-05 2.000526e-05 #>  [9089,] 2.676058e-05 3.219300e-05 2.103086e-05 2.336342e-05 2.408600e-05 #>  [9090,] 1.395366e-05 1.689630e-05 1.473948e-05 1.557123e-05 1.476193e-05 #>  [9091,] 1.127404e-04 1.276075e-04 1.150448e-04 1.368308e-04 1.762081e-04 #>  [9092,] 1.022512e-05 9.342874e-06 1.037435e-05 1.033863e-05 1.087868e-05 #>  [9093,] 1.877883e-05 1.748146e-05 4.195359e-05 5.593362e-05 4.753482e-05 #>  [9094,] 1.316742e-05 1.378813e-05 1.375614e-05 1.454869e-05 1.510538e-05 #>  [9095,] 2.498508e-05 3.474093e-05 2.760824e-05 2.854776e-05 2.551882e-05 #>  [9096,] 4.088320e-04 6.265394e-04 9.855501e-04 9.651483e-04 7.059866e-04 #>  [9097,] 1.579365e-05 1.620379e-05 1.886018e-05 1.904248e-05 1.796861e-05 #>  [9098,] 6.319243e-04 4.375065e-04 2.264236e-04 2.324812e-04 2.354243e-04 #>  [9099,] 1.056985e-05 1.110833e-05 1.168962e-05 1.098490e-05 1.078115e-05 #>  [9100,] 1.517324e-04 2.056669e-04 7.197427e-05 6.338967e-05 5.514236e-05 #>  [9101,] 1.096589e-05 1.123062e-05 1.227134e-05 1.438146e-05 1.507300e-05 #>  [9102,] 2.442711e-04 1.857013e-04 1.531284e-04 1.477016e-04 1.306479e-04 #>  [9103,] 1.305360e-05 1.399960e-05 1.506387e-05 1.772168e-05 1.706702e-05 #>  [9104,] 3.326994e-05 3.708244e-05 3.624740e-05 3.361855e-05 3.486811e-05 #>  [9105,] 2.605696e-05 2.689524e-05 2.581368e-05 2.702144e-05 2.596811e-05 #>  [9106,] 6.902535e-04 7.119920e-04 7.507226e-04 7.507256e-04 6.951650e-04 #>  [9107,] 2.426784e-05 2.258991e-05 2.630781e-05 2.784442e-05 2.829733e-05 #>  [9108,] 6.154348e-05 4.477915e-05 1.410693e-04 1.688505e-04 1.099502e-04 #>  [9109,] 3.183557e-05 3.136294e-05 4.020474e-05 4.381045e-05 3.835514e-05 #>  [9110,] 2.960042e-05 3.173382e-05 3.259927e-05 3.455302e-05 3.158254e-05 #>  [9111,] 9.774428e-05 1.287732e-04 9.875722e-05 8.422983e-05 7.747101e-05 #>  [9112,] 2.988310e-05 2.800608e-05 3.350770e-05 3.586186e-05 3.718959e-05 #>  [9113,] 3.021110e-05 3.320267e-05 4.399183e-05 3.752110e-05 3.603369e-05 #>  [9114,] 2.497197e-05 2.206339e-05 2.353718e-05 2.506429e-05 2.449115e-05 #>  [9115,] 2.701606e-05 2.605846e-05 2.997142e-05 3.378381e-05 3.327585e-05 #>  [9116,] 3.744693e-05 3.174587e-05 3.207483e-05 3.408066e-05 3.420823e-05 #>  [9117,] 1.966272e-04 9.547533e-05 5.293199e-05 4.522178e-05 4.909785e-05 #>  [9118,] 2.883970e-05 2.748105e-05 2.903389e-05 2.819200e-05 2.531819e-05 #>  [9119,] 7.271496e-05 6.908262e-05 4.819318e-05 5.017658e-05 4.653586e-05 #>  [9120,] 3.014185e-05 3.148985e-05 3.604438e-05 3.644370e-05 3.092048e-05 #>  [9121,] 2.556165e-05 2.477636e-05 2.919328e-05 2.813842e-05 2.821140e-05 #>  [9122,] 2.755867e-05 2.538743e-05 3.015868e-05 3.031335e-05 3.101254e-05 #>  [9123,] 2.695654e-05 2.620233e-05 3.004696e-05 3.142912e-05 3.073613e-05 #>  [9124,] 2.676563e-05 2.870065e-05 3.389297e-05 3.428192e-05 3.304025e-05 #>  [9125,] 7.791250e-05 7.774624e-05 6.033459e-05 7.022809e-05 6.836955e-05 #>  [9126,] 3.341990e-05 3.680290e-05 4.445176e-05 4.542774e-05 4.092063e-05 #>  [9127,] 2.217135e-05 2.015847e-05 2.170522e-05 2.318808e-05 2.293998e-05 #>  [9128,] 6.775195e-05 4.293455e-05 5.330111e-05 5.030693e-05 4.708558e-05 #>  [9129,] 4.319586e-05 6.395842e-05 4.469210e-05 4.321501e-05 3.446168e-05 #>  [9130,] 1.625049e-04 1.120193e-04 7.626317e-05 8.621955e-05 9.157675e-05 #>  [9131,] 9.692360e-05 8.888750e-05 8.698370e-05 8.060845e-05 5.346892e-05 #>  [9132,] 2.940360e-05 3.453428e-05 5.049514e-05 4.298913e-05 3.536301e-05 #>  [9133,] 3.581586e-04 3.679115e-04 2.630602e-04 2.531362e-04 2.037170e-04 #>  [9134,] 3.803725e-05 4.401401e-05 5.865714e-05 4.969197e-05 4.163829e-05 #>  [9135,] 3.334434e-05 3.818429e-05 6.380359e-05 4.824841e-05 4.615273e-05 #>  [9136,] 2.017556e-04 2.496856e-04 2.731202e-04 3.405116e-04 3.229733e-04 #>  [9137,] 1.133434e-04 9.761555e-05 1.112316e-04 1.054967e-04 8.985299e-05 #>  [9138,] 2.928089e-05 2.884719e-05 3.133572e-05 3.068189e-05 2.792732e-05 #>  [9139,] 1.189747e-04 1.333569e-04 3.220217e-04 2.596682e-04 1.825907e-04 #>  [9140,] 8.690023e-05 1.357086e-04 1.383039e-04 1.264749e-04 1.437417e-04 #>  [9141,] 4.831811e-05 4.968240e-05 5.287787e-05 4.899417e-05 4.617723e-05 #>  [9142,] 2.710300e-05 2.667251e-05 2.607100e-05 2.707135e-05 2.595425e-05 #>  [9143,] 3.901578e-05 3.521445e-05 5.284150e-05 6.058475e-05 5.413092e-05 #>  [9144,] 4.954598e-05 4.717516e-05 8.263454e-05 9.072269e-05 7.756943e-05 #>  [9145,] 3.951000e-05 4.280400e-05 3.608714e-05 3.553374e-05 3.254613e-05 #>  [9146,] 2.375408e-05 2.141525e-05 2.113820e-05 2.225348e-05 2.034224e-05 #>  [9147,] 2.729869e-05 2.414448e-05 2.698571e-05 2.987425e-05 2.847478e-05 #>  [9148,] 2.448964e-05 2.401251e-05 2.765479e-05 3.150421e-05 2.922917e-05 #>  [9149,] 2.562376e-05 2.477796e-05 2.835849e-05 2.798517e-05 2.961264e-05 #>  [9150,] 4.589413e-05 4.861266e-05 5.109079e-05 5.043609e-05 4.765993e-05 #>  [9151,] 2.972923e-05 3.799931e-05 5.425376e-05 3.840653e-05 3.737717e-05 #>  [9152,] 2.969668e-05 3.015199e-05 3.173361e-05 3.219700e-05 3.245010e-05 #>  [9153,] 3.908475e-05 4.178703e-05 6.789270e-05 6.416338e-05 5.611278e-05 #>  [9154,] 3.336872e-05 4.494854e-05 5.947045e-05 4.404962e-05 4.112552e-05 #>  [9155,] 4.938119e-05 4.754402e-05 3.940364e-05 3.998618e-05 4.888713e-05 #>  [9156,] 2.710728e-05 2.513828e-05 2.512365e-05 2.906445e-05 2.482716e-05 #>  [9157,] 3.050834e-05 2.755114e-05 3.848282e-05 3.343099e-05 3.144930e-05 #>  [9158,] 3.238428e-05 3.176841e-05 3.601821e-05 4.117621e-05 3.702767e-05 #>  [9159,] 6.100960e-05 8.810846e-05 9.237355e-05 6.227343e-05 4.741256e-05 #>  [9160,] 3.144103e-05 2.864966e-05 4.002132e-05 3.450734e-05 3.267675e-05 #>  [9161,] 3.107231e-05 2.673235e-05 2.862301e-05 3.161730e-05 2.893982e-05 #>  [9162,] 3.195290e-05 5.238347e-05 6.204931e-05 4.613663e-05 4.427093e-05 #>  [9163,] 1.450033e-03 8.911187e-04 3.238171e-04 4.691020e-04 4.337516e-04 #>  [9164,] 4.455693e-05 4.202405e-05 4.689087e-05 5.636911e-05 6.509793e-05 #>  [9165,] 3.125294e-05 2.962868e-05 4.195306e-05 3.469205e-05 3.211166e-05 #>  [9166,] 4.734489e-05 4.111014e-05 3.432889e-05 3.929750e-05 3.895667e-05 #>  [9167,] 3.924364e-05 2.990404e-05 3.540113e-05 4.076066e-05 3.593436e-05 #>  [9168,] 2.774108e-05 2.930978e-05 3.335003e-05 2.991599e-05 2.785927e-05 #>  [9169,] 1.276035e-04 8.851066e-05 4.267782e-05 4.504679e-05 4.337729e-05 #>  [9170,] 2.944837e-05 2.728541e-05 3.276788e-05 3.217811e-05 3.160201e-05 #>  [9171,] 3.155246e-05 3.106992e-05 3.416296e-05 3.887156e-05 3.612500e-05 #>  [9172,] 3.233396e-05 2.430801e-05 2.987811e-05 3.706006e-05 3.044580e-05 #>  [9173,] 3.059871e-05 2.724235e-05 3.161496e-05 3.760237e-05 3.261916e-05 #>  [9174,] 3.016375e-05 3.440012e-05 5.334892e-05 4.325363e-05 3.599725e-05 #>  [9175,] 5.573807e-05 3.267732e-04 1.587994e-04 1.278192e-04 1.396572e-04 #>  [9176,] 3.141619e-05 2.972502e-05 3.975872e-05 3.708632e-05 3.718922e-05 #>  [9177,] 2.577112e-05 2.776748e-05 2.511167e-05 2.776450e-05 2.778062e-05 #>  [9178,] 5.524885e-05 3.661902e-05 5.834831e-05 6.609280e-05 6.788578e-05 #>  [9179,] 3.497045e-05 3.911923e-05 6.309630e-05 4.346881e-05 3.804269e-05 #>  [9180,] 3.704389e-05 3.437932e-05 3.074373e-05 3.195014e-05 3.123009e-05 #>  [9181,] 3.072066e-05 2.799653e-05 3.110124e-05 3.776394e-05 3.264969e-05 #>  [9182,] 3.801242e-05 4.735343e-05 4.186919e-05 5.398333e-05 4.117739e-05 #>  [9183,] 3.132260e-05 3.039585e-05 3.582689e-05 3.513778e-05 3.375546e-05 #>  [9184,] 2.711283e-05 2.917161e-05 2.842198e-05 2.918446e-05 2.952254e-05 #>  [9185,] 3.030396e-05 3.915589e-05 6.649281e-05 5.776698e-05 5.586035e-05 #>  [9186,] 5.145183e-04 5.938746e-04 4.708794e-04 4.378431e-04 3.790419e-04 #>  [9187,] 2.829289e-05 2.731211e-05 3.049438e-05 3.675446e-05 3.410946e-05 #>  [9188,] 4.118743e-05 3.384577e-05 4.126709e-05 4.875469e-05 4.684263e-05 #>  [9189,] 2.817373e-05 2.602659e-05 2.667762e-05 3.054937e-05 3.152926e-05 #>  [9190,] 3.957040e-05 3.119793e-05 4.135639e-05 4.192339e-05 4.066257e-05 #>  [9191,] 3.260214e-05 2.953946e-05 2.923160e-05 3.493087e-05 3.340626e-05 #>  [9192,] 2.656634e-05 2.496234e-05 3.038594e-05 2.625000e-05 2.470184e-05 #>  [9193,] 3.181556e-05 3.402428e-05 3.176540e-05 2.963120e-05 2.775352e-05 #>  [9194,] 2.943607e-05 2.875793e-05 3.704241e-05 3.875314e-05 3.165579e-05 #>  [9195,] 9.000369e-05 8.375704e-05 6.245401e-05 7.998169e-05 8.784700e-05 #>  [9196,] 2.920129e-05 3.174201e-05 3.707329e-05 3.809653e-05 3.525605e-05 #>  [9197,] 2.106387e-04 3.684739e-04 1.871647e-04 2.605803e-04 2.806964e-04 #>  [9198,] 3.066671e-05 3.068811e-05 2.961420e-05 3.258811e-05 3.721138e-05 #>  [9199,] 5.589984e-04 6.167768e-04 4.042518e-04 2.973908e-04 4.558037e-04 #>  [9200,] 8.884356e-05 1.116931e-04 1.153050e-04 1.142606e-04 1.147419e-04 #>  [9201,] 3.927490e-05 3.999962e-05 3.906308e-05 4.097761e-05 3.682793e-05 #>  [9202,] 2.952442e-05 3.810833e-05 4.717916e-05 4.010887e-05 3.673368e-05 #>  [9203,] 2.656624e-05 2.490869e-05 3.166297e-05 2.960138e-05 2.819238e-05 #>  [9204,] 2.042029e-03 1.962254e-03 1.915854e-03 2.097895e-03 1.971251e-03 #>  [9205,] 3.126217e-05 2.898390e-05 3.303789e-05 3.662344e-05 3.168850e-05 #>  [9206,] 3.357548e-05 4.367622e-05 7.510669e-05 5.684635e-05 5.062398e-05 #>  [9207,] 5.239959e-05 6.855468e-05 5.377649e-05 4.819925e-05 4.357688e-05 #>  [9208,] 2.792083e-05 2.895053e-05 3.840445e-05 3.821353e-05 3.510723e-05 #>  [9209,] 5.703639e-05 4.584058e-05 5.298300e-05 4.951101e-05 5.260904e-05 #>  [9210,] 5.045681e-05 4.573480e-05 4.168966e-05 4.456157e-05 3.927504e-05 #>  [9211,] 2.577794e-05 2.354178e-05 2.201301e-05 2.374791e-05 2.288338e-05 #>  [9212,] 2.811202e-05 2.664510e-05 2.951384e-05 3.452664e-05 2.970323e-05 #>  [9213,] 2.697760e-05 2.477747e-05 2.650411e-05 3.078532e-05 2.613993e-05 #>  [9214,] 3.599612e-05 3.107509e-05 2.874438e-05 3.091931e-05 3.272577e-05 #>  [9215,] 2.746948e-05 2.765056e-05 3.188298e-05 3.300449e-05 2.830512e-05 #>  [9216,] 1.389588e-04 1.786540e-04 1.921406e-04 1.842526e-04 1.933265e-04 #>  [9217,] 3.141712e-05 3.154428e-05 4.173272e-05 4.240722e-05 3.797516e-05 #>  [9218,] 2.960041e-05 3.122969e-05 3.661676e-05 3.542333e-05 3.539324e-05 #>  [9219,] 2.483985e-05 2.959844e-05 3.147001e-05 2.894984e-05 2.964415e-05 #>  [9220,] 2.623038e-05 2.298723e-05 2.439389e-05 2.456197e-05 2.316260e-05 #>  [9221,] 2.891742e-05 3.111100e-05 2.938596e-05 3.066307e-05 3.318630e-05 #>  [9222,] 1.694491e-04 2.157571e-04 2.344502e-04 2.302354e-04 2.171053e-04 #>  [9223,] 2.513252e-05 2.472893e-05 2.632322e-05 2.677898e-05 2.676938e-05 #>  [9224,] 3.422717e-05 3.815886e-05 4.681774e-05 4.375237e-05 4.227778e-05 #>  [9225,] 2.472104e-05 2.139646e-05 2.236265e-05 2.360105e-05 2.205944e-05 #>  [9226,] 2.291519e-05 2.197067e-05 2.313839e-05 2.439770e-05 2.322603e-05 #>  [9227,] 2.647935e-05 2.595000e-05 3.019489e-05 3.101851e-05 3.335401e-05 #>  [9228,] 2.255991e-04 2.262389e-04 2.473216e-04 2.006439e-04 1.732359e-04 #>  [9229,] 4.034119e-04 1.886701e-04 2.462940e-04 2.451978e-04 2.162537e-04 #>  [9230,] 3.010392e-05 2.785973e-05 3.654268e-05 3.810203e-05 3.265212e-05 #>  [9231,] 2.918613e-05 2.775310e-05 2.971990e-05 3.020498e-05 3.001283e-05 #>  [9232,] 2.499473e-05 2.230757e-05 2.577514e-05 2.655010e-05 2.559559e-05 #>  [9233,] 2.548889e-05 2.234164e-05 2.384845e-05 2.614727e-05 2.321690e-05 #>  [9234,] 2.845954e-05 3.235906e-05 3.215550e-05 3.069110e-05 3.188899e-05 #>  [9235,] 3.636074e-05 3.485646e-05 3.269062e-05 3.610823e-05 3.529522e-05 #>  [9236,] 4.058199e-05 3.535752e-05 4.286254e-05 4.210822e-05 3.865954e-05 #>  [9237,] 3.271313e-05 3.165718e-05 3.474527e-05 3.617118e-05 3.462808e-05 #>  [9238,] 3.177987e-05 3.156926e-05 3.342307e-05 3.602692e-05 3.419238e-05 #>  [9239,] 2.763808e-05 2.705722e-05 3.234644e-05 3.108868e-05 3.268087e-05 #>  [9240,] 1.704267e-04 6.393760e-05 6.156464e-05 6.165168e-05 5.563267e-05 #>  [9241,] 8.723594e-05 6.494614e-05 9.191574e-05 9.527086e-05 7.405071e-05 #>  [9242,] 4.512895e-05 4.016575e-05 6.120848e-05 5.264907e-05 5.124428e-05 #>  [9243,] 7.061946e-05 6.250439e-05 7.439034e-05 6.761547e-05 8.206615e-05 #>  [9244,] 2.594560e-05 2.587190e-05 2.595314e-05 2.744615e-05 2.551708e-05 #>  [9245,] 2.973792e-05 2.780714e-05 2.989450e-05 3.399401e-05 3.308922e-05 #>  [9246,] 2.636013e-05 2.601031e-05 2.662542e-05 2.536236e-05 2.555611e-05 #>  [9247,] 4.930124e-05 4.805023e-05 3.613959e-05 3.623537e-05 3.916101e-05 #>  [9248,] 2.498721e-05 2.348200e-05 2.453746e-05 2.587708e-05 2.693058e-05 #>  [9249,] 3.607511e-05 3.108552e-05 4.010035e-05 4.617971e-05 4.099354e-05 #>  [9250,] 3.404364e-05 3.371995e-05 2.746950e-05 3.097556e-05 2.724797e-05 #>  [9251,] 4.596180e-05 4.987052e-05 4.200560e-05 4.501315e-05 4.388397e-05 #>  [9252,] 2.917947e-05 2.707957e-05 3.047724e-05 3.202949e-05 3.252107e-05 #>  [9253,] 3.402548e-05 3.600809e-05 3.301878e-05 3.155876e-05 3.165136e-05 #>  [9254,] 3.879521e-05 4.683361e-05 5.655484e-05 5.779588e-05 6.950326e-05 #>  [9255,] 4.788762e-05 7.953022e-05 7.701185e-05 5.734794e-05 5.920558e-05 #>  [9256,] 4.166014e-05 4.929833e-05 3.674284e-05 3.816943e-05 3.908992e-05 #>  [9257,] 1.784000e-04 2.223076e-04 6.771416e-04 4.602745e-04 1.863148e-04 #>  [9258,] 2.653763e-05 2.717096e-05 2.759904e-05 2.755044e-05 2.595016e-05 #>  [9259,] 2.991382e-05 2.984684e-05 3.205163e-05 3.751450e-05 3.282158e-05 #>  [9260,] 3.140930e-05 2.879078e-05 3.408861e-05 3.723135e-05 3.562468e-05 #>  [9261,] 3.076690e-05 2.893645e-05 2.978684e-05 3.257829e-05 3.081206e-05 #>  [9262,] 3.460090e-05 2.806898e-05 2.770101e-05 3.215508e-05 2.859501e-05 #>  [9263,] 2.777996e-05 3.224586e-05 4.051775e-05 3.420224e-05 3.671000e-05 #>  [9264,] 3.140849e-05 2.643765e-05 3.338095e-05 3.288025e-05 3.343863e-05 #>  [9265,] 4.934225e-05 7.442487e-05 1.220739e-04 9.997925e-05 9.001626e-05 #>  [9266,] 2.716658e-05 2.675724e-05 2.683267e-05 2.825596e-05 3.496086e-05 #>  [9267,] 2.633052e-05 2.491337e-05 3.035536e-05 3.501769e-05 3.236171e-05 #>  [9268,] 3.255544e-05 3.033331e-05 3.414899e-05 4.084674e-05 3.543683e-05 #>  [9269,] 2.723790e-05 2.249245e-05 2.377289e-05 2.677973e-05 2.347474e-05 #>  [9270,] 1.701038e-04 7.692445e-05 1.224554e-04 1.687111e-04 1.688281e-04 #>  [9271,] 2.948343e-04 2.161611e-04 9.016086e-05 8.729544e-05 5.566316e-05 #>  [9272,] 2.748682e-05 2.542003e-05 2.511417e-05 2.865011e-05 2.843433e-05 #>  [9273,] 3.749470e-05 3.776586e-05 3.628883e-05 3.787154e-05 3.607528e-05 #>  [9274,] 5.525101e-04 4.141113e-04 5.579122e-04 6.510558e-04 6.308501e-04 #>  [9275,] 2.375267e-04 3.092038e-04 7.339287e-05 7.031148e-05 7.677046e-05 #>  [9276,] 4.131828e-05 3.968215e-05 6.115082e-05 4.994658e-05 4.461331e-05 #>  [9277,] 2.620057e-05 2.620250e-05 2.664250e-05 2.617779e-05 2.542405e-05 #>  [9278,] 4.379451e-05 4.059909e-05 7.229261e-05 7.256357e-05 8.513303e-05 #>  [9279,] 3.275699e-05 2.593594e-05 2.907999e-05 3.361212e-05 2.735525e-05 #>  [9280,] 5.670081e-05 4.271411e-05 6.209373e-05 5.735549e-05 5.219506e-05 #>  [9281,] 5.355516e-04 4.439179e-04 3.451395e-04 3.251531e-04 3.042668e-04 #>  [9282,] 2.515993e-05 2.550149e-05 2.581847e-05 3.072770e-05 2.938656e-05 #>  [9283,] 3.068398e-04 3.181293e-04 4.445070e-04 3.415404e-04 2.638089e-04 #>  [9284,] 3.172292e-05 2.991165e-05 3.888650e-05 4.021320e-05 4.734837e-05 #>  [9285,] 2.831025e-05 2.510386e-05 2.572804e-05 3.134343e-05 3.070268e-05 #>  [9286,] 3.316401e-05 3.528872e-05 4.055450e-05 3.973558e-05 3.574345e-05 #>  [9287,] 4.987867e-05 6.602062e-05 1.897618e-04 1.517338e-04 1.041858e-04 #>  [9288,] 1.444639e-03 1.338482e-03 1.508858e-03 1.502324e-03 1.352436e-03 #>  [9289,] 4.096088e-05 4.828853e-05 9.267567e-05 9.498388e-05 7.096703e-05 #>  [9290,] 4.518066e-05 4.958675e-05 4.553908e-05 4.515073e-05 4.382376e-05 #>  [9291,] 3.938210e-05 4.077122e-05 3.476567e-05 3.769915e-05 4.297916e-05 #>  [9292,] 3.173706e-05 2.995268e-05 3.258768e-05 4.022386e-05 4.011834e-05 #>  [9293,] 5.526337e-05 4.554698e-05 3.923105e-05 4.426845e-05 5.894869e-05 #>  [9294,] 3.153049e-05 2.962384e-05 2.760207e-05 3.034237e-05 2.854963e-05 #>  [9295,] 3.638289e-05 3.318688e-05 3.833446e-05 4.239490e-05 3.606695e-05 #>  [9296,] 3.606744e-05 3.321274e-05 3.806514e-05 4.202063e-05 3.681287e-05 #>  [9297,] 7.454916e-04 6.140020e-04 4.457639e-04 4.581533e-04 4.365655e-04 #>  [9298,] 2.986945e-05 3.227962e-05 3.083907e-05 3.026307e-05 2.860120e-05 #>  [9299,] 2.630488e-05 2.640759e-05 2.735429e-05 2.587038e-05 2.421183e-05 #>  [9300,] 1.020597e-04 6.614414e-05 8.459728e-05 6.155782e-05 6.850764e-05 #>  [9301,] 6.911484e-05 3.716266e-05 4.579458e-05 4.780956e-05 4.159379e-05 #>  [9302,] 1.492316e-04 1.205833e-04 1.255419e-04 1.465744e-04 1.792817e-04 #>  [9303,] 4.919892e-05 5.992486e-05 7.565957e-05 8.092806e-05 6.296414e-05 #>  [9304,] 2.612356e-05 2.508616e-05 3.054264e-05 2.990852e-05 2.932719e-05 #>  [9305,] 2.705984e-05 2.907018e-05 3.391724e-05 3.248369e-05 3.423991e-05 #>  [9306,] 3.343280e-05 3.607014e-05 4.936247e-05 3.732036e-05 3.560798e-05 #>  [9307,] 2.877136e-05 2.823797e-05 2.738766e-05 2.930484e-05 2.757205e-05 #>  [9308,] 3.317382e-05 3.315076e-05 3.871632e-05 4.024541e-05 3.754953e-05 #>  [9309,] 3.371210e-05 4.526870e-05 6.462710e-05 4.358558e-05 3.986939e-05 #>  [9310,] 2.599557e-05 2.542558e-05 2.623191e-05 2.583085e-05 2.659672e-05 #>  [9311,] 2.121502e-04 1.626815e-04 3.466100e-04 3.510444e-04 2.581971e-04 #>  [9312,] 1.123026e-03 9.845386e-04 8.334324e-04 1.067163e-03 1.573110e-03 #>  [9313,] 4.251557e-04 3.151082e-04 2.460738e-04 2.923738e-04 2.308298e-04 #>  [9314,] 1.568760e-04 1.712681e-04 2.473324e-04 3.066242e-04 2.467194e-04 #>  [9315,] 3.416276e-05 3.633729e-05 3.835711e-05 3.804836e-05 3.850036e-05 #>  [9316,] 3.054244e-05 3.544668e-05 5.733385e-05 6.309061e-05 6.610958e-05 #>  [9317,] 3.289192e-05 3.430059e-05 5.153113e-05 5.189441e-05 4.822258e-05 #>  [9318,] 3.353067e-05 3.586301e-05 3.609806e-05 3.679645e-05 3.820012e-05 #>  [9319,] 3.299129e-05 3.598098e-05 4.870796e-05 4.163551e-05 3.719458e-05 #>  [9320,] 1.367910e-04 1.493299e-04 4.652592e-05 4.285182e-05 3.268301e-05 #>  [9321,] 8.231407e-05 6.922184e-05 9.485070e-05 9.611316e-05 8.958426e-05 #>  [9322,] 3.060499e-05 2.936845e-05 2.774350e-05 2.842729e-05 2.829870e-05 #>  [9323,] 3.949339e-05 3.470566e-05 5.187173e-05 6.513774e-05 7.106903e-05 #>  [9324,] 6.342193e-05 1.105062e-04 1.329723e-04 1.367162e-04 7.580862e-05 #>  [9325,] 5.131073e-05 6.561721e-05 3.645496e-05 3.251962e-05 2.877313e-05 #>  [9326,] 2.753952e-05 2.609051e-05 2.740908e-05 3.077881e-05 3.090795e-05 #>  [9327,] 6.128507e-05 7.408225e-05 4.958391e-05 5.647850e-05 7.394370e-05 #>  [9328,] 3.389454e-05 4.349179e-05 5.865841e-05 6.959331e-05 8.564638e-05 #>  [9329,] 2.799215e-05 2.967674e-05 3.624144e-05 3.066318e-05 3.335028e-05 #>  [9330,] 1.261331e-04 1.609904e-04 5.535532e-05 5.325360e-05 4.990232e-05 #>  [9331,] 1.918170e-04 2.352992e-04 4.845595e-04 3.998718e-04 3.989164e-04 #>  [9332,] 2.950578e-05 3.464331e-05 4.321040e-05 3.897092e-05 3.400495e-05 #>  [9333,] 2.452361e-05 2.459626e-05 2.500865e-05 2.494038e-05 2.200250e-05 #>  [9334,] 3.812343e-05 3.212914e-05 4.216448e-05 4.327000e-05 4.474056e-05 #>  [9335,] 3.111401e-05 3.080403e-05 3.855734e-05 3.822061e-05 3.550172e-05 #>  [9336,] 3.370170e-05 3.727566e-05 6.237978e-05 4.685742e-05 3.938923e-05 #>  [9337,] 1.243816e-03 1.551576e-03 1.633372e-03 1.213993e-03 1.548365e-03 #>  [9338,] 1.809254e-04 3.678663e-04 3.010484e-04 1.991830e-04 1.809562e-04 #>  [9339,] 2.875772e-05 2.989616e-05 3.040170e-05 3.326770e-05 3.545202e-05 #>  [9340,] 3.184607e-05 2.994170e-05 4.104153e-05 4.232009e-05 4.247874e-05 #>  [9341,] 3.606667e-05 3.307894e-05 4.068132e-05 5.062392e-05 4.972278e-05 #>  [9342,] 3.851482e-05 4.243360e-05 4.595835e-05 4.760216e-05 5.636378e-05 #>  [9343,] 3.748470e-05 3.857942e-05 5.139810e-05 5.517277e-05 4.870374e-05 #>  [9344,] 3.392662e-05 3.473250e-05 3.836646e-05 3.908639e-05 3.914280e-05 #>  [9345,] 2.878415e-05 2.812567e-05 2.908699e-05 2.856066e-05 2.918231e-05 #>  [9346,] 4.810597e-05 5.877685e-05 6.596753e-05 5.869930e-05 6.494841e-05 #>  [9347,] 2.665813e-05 2.601267e-05 2.889356e-05 3.069109e-05 2.852484e-05 #>  [9348,] 2.598171e-05 2.510279e-05 3.160741e-05 3.404476e-05 3.364079e-05 #>  [9349,] 4.124856e-05 4.809682e-05 4.402030e-05 4.644964e-05 5.657848e-05 #>  [9350,] 2.913530e-05 2.827904e-05 3.062705e-05 3.079757e-05 3.200670e-05 #>  [9351,] 5.498475e-05 7.459631e-05 1.499141e-04 1.319619e-04 3.223592e-04 #>  [9352,] 4.108027e-05 6.675563e-05 1.091386e-04 6.788361e-05 9.170486e-05 #>  [9353,] 8.061377e-05 8.097508e-05 5.873450e-05 6.606888e-05 4.875999e-05 #>  [9354,] 2.276789e-05 2.208881e-05 2.490470e-05 2.292598e-05 2.532903e-05 #>  [9355,] 7.362227e-05 8.701841e-05 1.284438e-04 1.629835e-04 1.582607e-04 #>  [9356,] 2.735294e-05 2.550045e-05 2.732179e-05 3.283499e-05 3.389660e-05 #>  [9357,] 2.900642e-04 3.433152e-04 3.472138e-04 3.813007e-04 3.460492e-04 #>  [9358,] 2.461600e-05 2.411130e-05 2.515527e-05 2.461660e-05 2.858262e-05 #>  [9359,] 4.757253e-05 4.183427e-05 5.021277e-05 4.676101e-05 3.413758e-05 #>  [9360,] 1.072937e-04 1.622031e-04 1.656268e-04 1.838611e-04 2.053390e-04 #>  [9361,] 3.217986e-05 3.454708e-05 3.415244e-05 3.084594e-05 3.237055e-05 #>  [9362,] 2.761208e-05 2.432234e-05 2.584631e-05 2.728261e-05 2.824835e-05 #>  [9363,] 3.654522e-05 3.881918e-05 3.431075e-05 3.412786e-05 3.317745e-05 #>  [9364,] 3.313613e-05 2.924667e-05 3.468963e-05 3.956416e-05 3.398734e-05 #>  [9365,] 2.337814e-05 2.410025e-05 2.673133e-05 2.609288e-05 2.542763e-05 #>  [9366,] 3.156500e-05 3.029920e-05 3.619663e-05 4.241327e-05 3.778658e-05 #>  [9367,] 3.147863e-05 3.647229e-05 4.282916e-05 3.802989e-05 3.828443e-05 #>  [9368,] 2.188278e-05 2.380204e-05 2.319071e-05 2.285896e-05 2.422406e-05 #>  [9369,] 2.579813e-05 2.516055e-05 3.505606e-05 4.081746e-05 3.633195e-05 #>  [9370,] 5.141075e-05 6.826815e-05 4.798727e-05 4.741207e-05 4.742067e-05 #>  [9371,] 3.086882e-05 2.931147e-05 4.210587e-05 4.692300e-05 4.840371e-05 #>  [9372,] 3.620479e-05 3.540484e-05 4.117019e-05 3.797777e-05 3.007349e-05 #>  [9373,] 2.549699e-05 2.431679e-05 2.527231e-05 2.752064e-05 2.768559e-05 #>  [9374,] 2.565915e-05 2.668812e-05 2.966134e-05 3.357897e-05 3.066018e-05 #>  [9375,] 4.245419e-05 4.174714e-05 5.372504e-05 5.203325e-05 4.339882e-05 #>  [9376,] 2.657214e-05 3.039302e-05 3.718334e-05 3.372057e-05 3.362767e-05 #>  [9377,] 1.506122e-04 1.674341e-04 6.057629e-05 4.094255e-05 6.005046e-05 #>  [9378,] 4.569308e-05 3.526481e-05 3.936493e-05 4.670888e-05 4.425319e-05 #>  [9379,] 2.751313e-05 3.216135e-05 4.046217e-05 3.290677e-05 3.591767e-05 #>  [9380,] 3.467717e-05 2.412668e-05 2.675786e-05 2.841277e-05 2.693875e-05 #>  [9381,] 2.858401e-05 3.572796e-05 4.749816e-05 3.438289e-05 3.801614e-05 #>  [9382,] 2.784552e-05 2.688227e-05 2.614321e-05 2.845316e-05 2.853752e-05 #>  [9383,] 2.901236e-05 3.007548e-05 2.905228e-05 2.878821e-05 3.079476e-05 #>  [9384,] 3.070082e-05 2.860949e-05 2.929561e-05 2.882505e-05 2.705552e-05 #>  [9385,] 3.448491e-05 4.090207e-05 4.471288e-05 5.381261e-05 6.015928e-05 #>  [9386,] 2.572979e-05 2.439548e-05 2.487188e-05 2.711172e-05 2.564732e-05 #>  [9387,] 3.056178e-05 3.412323e-05 3.795553e-05 3.852565e-05 5.692989e-05 #>  [9388,] 3.691858e-05 3.734441e-05 4.054934e-05 4.523443e-05 4.060141e-05 #>  [9389,] 3.195823e-05 3.453368e-05 3.700926e-05 3.740407e-05 3.639224e-05 #>  [9390,] 3.782159e-05 4.599775e-05 7.305652e-05 4.339583e-05 4.715837e-05 #>  [9391,] 5.160594e-05 5.737549e-05 3.618388e-05 3.914833e-05 3.679756e-05 #>  [9392,] 2.371041e-05 2.309785e-05 2.196091e-05 2.396314e-05 2.264567e-05 #>  [9393,] 1.043557e-04 1.249534e-04 8.924551e-05 9.457518e-05 1.317799e-04 #>  [9394,] 1.346524e-04 7.627230e-05 9.831032e-05 1.230629e-04 1.058553e-04 #>  [9395,] 8.815438e-05 8.727136e-05 9.346098e-05 9.945546e-05 9.652107e-05 #>  [9396,] 3.297875e-05 3.301646e-05 3.655060e-05 3.627314e-05 3.108047e-05 #>  [9397,] 2.715258e-05 2.410717e-05 2.693395e-05 2.862264e-05 2.884892e-05 #>  [9398,] 3.095456e-05 3.080409e-05 3.763816e-05 3.835055e-05 3.352271e-05 #>  [9399,] 2.985390e-05 2.887248e-05 3.228513e-05 3.403147e-05 3.421659e-05 #>  [9400,] 2.309410e-05 2.323453e-05 2.297481e-05 2.372002e-05 2.282843e-05 #>  [9401,] 2.742268e-05 2.804277e-05 2.990010e-05 3.004572e-05 3.179977e-05 #>  [9402,] 2.654731e-05 2.686971e-05 3.097977e-05 3.141294e-05 2.932700e-05 #>  [9403,] 9.200523e-05 7.186605e-05 8.107720e-05 1.560192e-04 2.425735e-04 #>  [9404,] 3.014829e-05 3.037265e-05 2.891283e-05 2.876345e-05 3.055710e-05 #>  [9405,] 2.465411e-05 2.604804e-05 2.674659e-05 2.555371e-05 2.599975e-05 #>  [9406,] 4.399526e-05 4.688600e-05 3.668797e-05 4.218704e-05 3.966546e-05 #>  [9407,] 1.370654e-04 1.612210e-04 2.537222e-04 2.745862e-04 3.216276e-04 #>  [9408,] 4.894364e-05 4.341363e-05 6.559681e-05 7.398405e-05 8.570999e-05 #>  [9409,] 1.761682e-03 1.542219e-03 1.555064e-03 1.590970e-03 1.559403e-03 #>  [9410,] 2.726193e-05 2.594915e-05 2.628304e-05 2.644738e-05 2.461074e-05 #>  [9411,] 1.419748e-04 1.843348e-04 1.114709e-04 1.043512e-04 9.289156e-05 #>  [9412,] 4.249650e-05 4.559958e-05 5.253621e-05 4.924812e-05 3.996446e-05 #>  [9413,] 2.557119e-05 2.762155e-05 3.176245e-05 3.228948e-05 3.160070e-05 #>  [9414,] 2.644320e-05 2.541531e-05 2.663927e-05 2.693501e-05 2.939966e-05 #>  [9415,] 3.222546e-05 3.508347e-05 4.471291e-05 3.471164e-05 3.460908e-05 #>  [9416,] 2.436613e-05 2.198278e-05 2.289851e-05 2.466594e-05 2.230915e-05 #>  [9417,] 2.600408e-05 2.512215e-05 2.781426e-05 3.197686e-05 3.086473e-05 #>  [9418,] 3.013172e-05 2.715936e-05 2.897379e-05 3.505552e-05 3.123596e-05 #>  [9419,] 6.729062e-05 6.883594e-05 7.715745e-05 7.675889e-05 6.057355e-05 #>  [9420,] 3.743973e-05 3.516266e-05 2.692311e-05 2.500434e-05 2.495296e-05 #>  [9421,] 7.075294e-05 1.016910e-04 1.137991e-04 1.205638e-04 1.075603e-04 #>  [9422,] 3.480118e-05 3.192766e-05 3.387093e-05 3.699871e-05 3.169773e-05 #>  [9423,] 8.003329e-05 1.620935e-04 1.010335e-04 8.235994e-05 5.140439e-05 #>  [9424,] 3.567614e-05 4.055318e-05 4.660913e-05 5.271148e-05 6.185018e-05 #>  [9425,] 7.401331e-05 9.258059e-05 1.013546e-04 8.207380e-05 9.162098e-05 #>  [9426,] 5.145561e-05 5.669623e-05 7.887741e-05 9.100953e-05 1.562726e-04 #>  [9427,] 3.710107e-05 3.550217e-05 5.161899e-05 4.298403e-05 3.965175e-05 #>  [9428,] 3.372736e-05 4.272783e-05 4.649963e-05 3.643832e-05 3.702626e-05 #>  [9429,] 2.901678e-05 2.807355e-05 3.083645e-05 2.938366e-05 3.083517e-05 #>  [9430,] 2.871457e-05 2.814535e-05 3.118848e-05 3.219429e-05 3.102475e-05 #>  [9431,] 3.061528e-05 2.765558e-05 3.096815e-05 3.103209e-05 3.132365e-05 #>  [9432,] 2.634267e-05 2.801751e-05 3.246563e-05 3.268852e-05 3.464525e-05 #>  [9433,] 5.579623e-05 7.480412e-05 1.271548e-04 9.788586e-05 7.664335e-05 #>  [9434,] 3.345689e-05 4.090903e-05 6.186385e-05 4.338156e-05 3.733334e-05 #>  [9435,] 4.108851e-05 3.470042e-05 4.090029e-05 4.915162e-05 4.830346e-05 #>  [9436,] 4.174503e-05 4.506421e-05 4.021133e-05 4.632896e-05 4.530856e-05 #>  [9437,] 2.933195e-05 2.725864e-05 2.707161e-05 3.290459e-05 3.377845e-05 #>  [9438,] 3.464195e-05 3.180918e-05 3.961456e-05 3.700712e-05 3.487147e-05 #>  [9439,] 2.891240e-05 2.613181e-05 2.877224e-05 3.570835e-05 3.347163e-05 #>  [9440,] 3.140581e-05 3.046349e-05 3.319536e-05 3.745651e-05 3.473107e-05 #>  [9441,] 2.433793e-05 2.796192e-05 3.362425e-05 2.913002e-05 2.988953e-05 #>  [9442,] 2.979248e-05 3.276305e-05 3.111228e-05 3.106178e-05 3.173306e-05 #>  [9443,] 2.673904e-05 2.415681e-05 2.632638e-05 2.896454e-05 2.684764e-05 #>  [9444,] 3.033798e-05 3.393215e-05 4.996869e-05 4.091319e-05 3.979576e-05 #>  [9445,] 3.007931e-05 2.774160e-05 2.824762e-05 2.952209e-05 2.991015e-05 #>  [9446,] 3.075909e-05 2.721753e-05 2.624474e-05 3.138820e-05 3.234843e-05 #>  [9447,] 3.046136e-05 2.939902e-05 2.929222e-05 3.330169e-05 3.293068e-05 #>  [9448,] 1.042607e-04 1.223054e-04 1.126958e-04 1.062431e-04 1.191004e-04 #>  [9449,] 3.803279e-05 2.829640e-05 3.501154e-05 3.274686e-05 3.099091e-05 #>  [9450,] 2.478262e-05 2.408821e-05 2.361603e-05 2.487900e-05 2.485122e-05 #>  [9451,] 2.518024e-05 2.369335e-05 2.364055e-05 2.667890e-05 2.668323e-05 #>  [9452,] 3.430026e-05 3.123704e-05 4.284552e-05 3.951036e-05 3.979017e-05 #>  [9453,] 2.526258e-05 2.801618e-05 3.009786e-05 2.830179e-05 2.987005e-05 #>  [9454,] 2.730075e-05 2.550025e-05 2.613992e-05 2.882808e-05 3.007162e-05 #>  [9455,] 3.562121e-05 3.326837e-05 3.572467e-05 3.673225e-05 3.483342e-05 #>  [9456,] 4.019199e-05 3.658247e-05 4.803639e-05 3.326650e-05 3.033199e-05 #>  [9457,] 3.538074e-05 3.463585e-05 4.891523e-05 4.729474e-05 4.332146e-05 #>  [9458,] 8.947255e-05 1.040071e-04 1.189053e-04 8.591517e-05 2.241797e-04 #>  [9459,] 2.325177e-05 2.319992e-05 2.611753e-05 2.621332e-05 2.734848e-05 #>  [9460,] 2.770584e-05 2.565499e-05 3.089867e-05 3.343883e-05 2.931012e-05 #>  [9461,] 2.961241e-05 3.163888e-05 2.965375e-05 3.125150e-05 3.238749e-05 #>  [9462,] 3.718732e-05 3.116759e-05 4.176677e-05 4.630429e-05 4.085693e-05 #>  [9463,] 1.041903e-04 6.482875e-05 6.633059e-05 1.075208e-04 1.298996e-04 #>  [9464,] 1.011401e-04 2.363244e-04 2.667711e-04 5.281181e-04 1.096245e-03 #>  [9465,] 6.092862e-05 3.014999e-05 3.631966e-05 3.831408e-05 3.762554e-05 #>  [9466,] 4.955882e-05 5.186255e-05 5.578602e-05 5.384435e-05 4.649330e-05 #>  [9467,] 2.902167e-05 3.103609e-05 3.136493e-05 2.953109e-05 3.384972e-05 #>  [9468,] 2.746713e-05 2.963419e-05 3.661836e-05 3.092521e-05 3.091888e-05 #>  [9469,] 2.552125e-05 2.246914e-05 2.463802e-05 2.615637e-05 2.460618e-05 #>  [9470,] 6.700507e-05 5.642991e-05 4.597402e-05 4.661017e-05 5.111525e-05 #>  [9471,] 2.863786e-05 2.795026e-05 3.163413e-05 3.127316e-05 3.201162e-05 #>  [9472,] 7.855259e-05 8.379199e-05 6.979979e-05 7.383729e-05 7.951770e-05 #>  [9473,] 3.132561e-05 2.782227e-05 3.702554e-05 4.952075e-05 4.501178e-05 #>  [9474,] 4.395211e-05 4.052714e-05 3.715632e-05 4.147356e-05 4.561738e-05 #>  [9475,] 2.825543e-05 3.341528e-05 3.401502e-05 3.090954e-05 3.217559e-05 #>  [9476,] 2.770352e-05 2.481120e-05 2.390886e-05 2.743263e-05 2.396603e-05 #>  [9477,] 1.192740e-04 1.729510e-04 1.201700e-04 1.390831e-04 1.063598e-04 #>  [9478,] 3.083835e-05 3.776917e-05 3.812904e-05 3.930353e-05 4.445209e-05 #>  [9479,] 2.706974e-05 2.491436e-05 2.893440e-05 3.043373e-05 3.147603e-05 #>  [9480,] 1.396610e-03 1.312423e-03 1.068258e-03 1.022153e-03 1.028322e-03 #>  [9481,] 2.639264e-05 3.092092e-05 3.659486e-05 3.219092e-05 3.393809e-05 #>  [9482,] 2.839751e-05 2.927083e-05 3.141430e-05 2.960656e-05 2.936946e-05 #>  [9483,] 3.046217e-05 2.639096e-05 3.252576e-05 3.582274e-05 2.914594e-05 #>  [9484,] 1.395362e-04 1.241240e-04 1.264419e-04 1.070294e-04 7.695716e-05 #>  [9485,] 2.738907e-05 2.587666e-05 2.817129e-05 2.520132e-05 2.666508e-05 #>  [9486,] 2.593656e-05 3.046368e-05 3.344206e-05 3.093047e-05 3.180052e-05 #>  [9487,] 2.562844e-05 2.363174e-05 2.572534e-05 2.857823e-05 3.003014e-05 #>  [9488,] 3.578086e-05 4.146199e-05 3.764344e-05 4.266239e-05 4.191486e-05 #>  [9489,] 2.296403e-05 2.598103e-05 2.514775e-05 2.421486e-05 2.539588e-05 #>  [9490,] 2.834612e-05 2.366369e-05 2.660648e-05 2.464246e-05 2.160433e-05 #>  [9491,] 3.117264e-05 3.091390e-05 3.879188e-05 3.752308e-05 3.244743e-05 #>  [9492,] 3.098866e-04 4.065533e-04 2.106844e-04 1.513363e-04 1.822483e-04 #>  [9493,] 6.437138e-05 4.887204e-05 9.190739e-05 1.055443e-04 7.354157e-05 #>  [9494,] 9.083939e-04 8.873917e-04 1.063733e-03 1.314427e-03 9.928448e-04 #>  [9495,] 2.579983e-05 2.788669e-05 2.636849e-05 2.554225e-05 2.703438e-05 #>  [9496,] 4.210662e-05 3.760527e-05 6.156110e-05 6.891535e-05 5.629720e-05 #>  [9497,] 6.195715e-05 6.772037e-05 7.205837e-05 7.151378e-05 5.624221e-05 #>  [9498,] 5.373656e-05 6.313287e-05 1.288489e-04 1.415671e-04 1.435709e-04 #>  [9499,] 4.598759e-05 6.083410e-05 4.223075e-05 3.514180e-05 3.840797e-05 #>  [9500,] 2.628155e-05 2.392636e-05 2.725209e-05 2.949215e-05 2.814253e-05 #>  [9501,] 1.132148e-04 9.832862e-05 6.454479e-05 6.593554e-05 8.967340e-05 #>  [9502,] 2.732130e-05 3.059305e-05 3.274302e-05 3.133881e-05 3.215671e-05 #>  [9503,] 3.169139e-05 4.581909e-05 6.400613e-05 4.500489e-05 3.951081e-05 #>  [9504,] 2.395310e-05 2.205938e-05 2.351065e-05 2.518125e-05 3.329458e-05 #>  [9505,] 3.962091e-05 3.556147e-05 3.815174e-05 3.480945e-05 3.574520e-05 #>  [9506,] 3.634647e-05 4.454364e-05 4.419104e-05 4.059091e-05 3.864911e-05 #>  [9507,] 2.564509e-05 2.695269e-05 3.050535e-05 3.171994e-05 3.013883e-05 #>  [9508,] 4.317289e-05 4.523040e-05 3.957316e-05 4.025101e-05 3.983509e-05 #>  [9509,] 1.754699e-04 1.445271e-04 2.043735e-04 1.925489e-04 1.432991e-04 #>  [9510,] 2.499714e-05 2.481219e-05 2.658554e-05 2.971689e-05 3.060443e-05 #>  [9511,] 5.097227e-05 6.689757e-05 7.316405e-05 7.191391e-05 1.130625e-04 #>  [9512,] 3.478414e-05 4.132444e-05 5.547586e-05 6.033147e-05 8.408569e-05 #>  [9513,] 2.502963e-05 2.590353e-05 2.845929e-05 3.167019e-05 3.166222e-05 #>  [9514,] 3.078459e-05 3.224204e-05 3.886621e-05 3.826912e-05 3.581753e-05 #>  [9515,] 4.169033e-05 4.879081e-05 6.087202e-05 4.610778e-05 4.178619e-05 #>  [9516,] 3.205399e-05 2.837237e-05 3.022627e-05 3.825524e-05 3.682149e-05 #>  [9517,] 3.908220e-04 3.402351e-04 2.494511e-04 2.427907e-04 2.667520e-04 #>  [9518,] 3.662434e-05 3.283755e-05 3.923501e-05 4.632498e-05 3.976451e-05 #>  [9519,] 2.398838e-05 2.535344e-05 2.946583e-05 3.112012e-05 3.138301e-05 #>  [9520,] 2.572546e-05 2.804263e-05 3.017617e-05 3.101396e-05 3.103352e-05 #>  [9521,] 7.436583e-04 1.340085e-03 8.229998e-04 7.652267e-04 7.236621e-04 #>  [9522,] 3.271834e-05 2.966179e-05 3.422236e-05 3.952976e-05 3.640157e-05 #>  [9523,] 2.999297e-05 3.389645e-05 4.765284e-05 3.644559e-05 3.493007e-05 #>  [9524,] 3.494227e-05 4.682842e-05 5.134511e-05 4.330570e-05 4.391407e-05 #>  [9525,] 5.799120e-05 4.401488e-05 1.093716e-04 1.241793e-04 1.079972e-04 #>  [9526,] 4.523059e-05 4.907235e-05 5.563196e-05 5.244928e-05 5.050507e-05 #>  [9527,] 8.730419e-05 6.124277e-05 1.445842e-04 1.549080e-04 1.214120e-04 #>  [9528,] 2.616805e-05 2.487527e-05 2.554480e-05 3.255357e-05 2.957863e-05 #>  [9529,] 2.951698e-05 3.454730e-05 4.813580e-05 3.766118e-05 3.252608e-05 #>  [9530,] 2.983280e-05 2.752326e-05 2.903235e-05 3.228491e-05 3.145591e-05 #>  [9531,] 6.694677e-05 7.488992e-05 5.105349e-05 5.842317e-05 7.272664e-05 #>  [9532,] 2.235155e-05 2.117764e-05 2.249168e-05 2.397725e-05 2.164846e-05 #>  [9533,] 3.657838e-05 3.294877e-05 4.408047e-05 4.427579e-05 3.998835e-05 #>  [9534,] 3.347881e-05 3.393626e-05 3.167833e-05 3.398106e-05 3.601725e-05 #>  [9535,] 9.918683e-05 1.160438e-04 1.018931e-04 1.076531e-04 1.265004e-04 #>  [9536,] 2.817160e-05 2.744495e-05 3.125213e-05 3.639747e-05 3.523105e-05 #>  [9537,] 3.432215e-05 3.650983e-05 3.119142e-05 2.796609e-05 2.767631e-05 #>  [9538,] 1.975041e-04 2.455994e-04 2.343980e-04 2.278691e-04 1.463873e-04 #>  [9539,] 2.447847e-05 2.319764e-05 2.490730e-05 2.485766e-05 2.605527e-05 #>  [9540,] 4.557356e-05 4.785279e-05 3.618227e-05 3.819598e-05 4.501708e-05 #>  [9541,] 3.064110e-05 3.124196e-05 3.421922e-05 3.562405e-05 3.780996e-05 #>  [9542,] 3.145201e-05 3.393187e-05 3.260692e-05 3.147431e-05 3.045242e-05 #>  [9543,] 2.770634e-05 2.550670e-05 3.180689e-05 3.475085e-05 3.208339e-05 #>  [9544,] 2.860887e-05 2.594482e-05 2.710049e-05 3.104015e-05 3.172560e-05 #>  [9545,] 1.003713e-04 8.418315e-05 1.137306e-04 1.539893e-04 1.251289e-04 #>  [9546,] 4.187529e-05 3.435861e-05 3.480473e-05 4.254848e-05 3.920325e-05 #>  [9547,] 2.619405e-05 2.720118e-05 3.271724e-05 2.962506e-05 2.741592e-05 #>  [9548,] 3.052097e-05 2.913466e-05 4.032391e-05 4.170105e-05 3.909138e-05 #>  [9549,] 4.445544e-05 9.880179e-05 1.105635e-04 7.219498e-05 6.776339e-05 #>  [9550,] 2.628274e-05 2.249965e-05 2.814761e-05 2.937473e-05 2.850143e-05 #>  [9551,] 3.363209e-05 2.873632e-05 3.053712e-05 3.502791e-05 3.423294e-05 #>  [9552,] 3.687288e-05 3.227811e-05 4.695960e-05 4.976635e-05 4.732654e-05 #>  [9553,] 2.964191e-05 2.642870e-05 2.680110e-05 3.142288e-05 2.814063e-05 #>  [9554,] 2.554472e-05 2.689132e-05 3.096945e-05 3.222648e-05 3.071940e-05 #>  [9555,] 2.873791e-05 2.813716e-05 2.927856e-05 3.409654e-05 3.437038e-05 #>  [9556,] 3.227603e-05 2.849810e-05 4.095067e-05 4.655847e-05 4.281860e-05 #>  [9557,] 2.548398e-05 2.678299e-05 2.650530e-05 2.696403e-05 2.912886e-05 #>  [9558,] 2.758304e-05 2.899714e-05 2.606310e-05 2.596326e-05 2.687802e-05 #>  [9559,] 3.834349e-05 3.183817e-05 3.861793e-05 3.622539e-05 4.466226e-05 #>  [9560,] 5.405499e-05 4.899795e-05 5.531129e-05 5.071804e-05 5.768009e-05 #>  [9561,] 2.621135e-05 2.583660e-05 3.046082e-05 2.984981e-05 2.983405e-05 #>  [9562,] 3.551802e-05 3.537466e-05 2.876642e-05 3.075956e-05 2.759092e-05 #>  [9563,] 2.556865e-05 2.604251e-05 2.817952e-05 3.009163e-05 2.983485e-05 #>  [9564,] 4.022120e-05 4.586127e-05 4.540005e-05 4.148544e-05 3.130787e-05 #>  [9565,] 2.356931e-05 2.248338e-05 2.372435e-05 2.449665e-05 2.389869e-05 #>  [9566,] 2.731411e-05 2.436584e-05 2.821201e-05 3.063687e-05 3.164622e-05 #>  [9567,] 3.214153e-05 3.052492e-05 3.534423e-05 3.441579e-05 3.389508e-05 #>  [9568,] 3.324232e-05 3.155228e-05 3.678201e-05 3.536474e-05 3.327957e-05 #>  [9569,] 4.686267e-05 5.561445e-05 7.304171e-05 7.075777e-05 5.234345e-05 #>  [9570,] 3.006095e-05 2.997865e-05 3.652456e-05 3.782767e-05 3.348421e-05 #>  [9571,] 2.795549e-05 2.494154e-05 2.753066e-05 2.995188e-05 2.973675e-05 #>  [9572,] 6.644373e-04 7.896119e-04 8.233677e-04 7.447363e-04 7.265571e-04 #>  [9573,] 2.972492e-05 2.941191e-05 4.249715e-05 3.850058e-05 3.296406e-05 #>  [9574,] 2.960935e-05 3.072612e-05 3.192434e-05 3.287630e-05 3.229606e-05 #>  [9575,] 2.945453e-05 3.313446e-05 4.480111e-05 4.292756e-05 3.893651e-05 #>  [9576,] 4.336145e-05 3.813512e-05 5.097561e-05 5.619153e-05 7.515006e-05 #>  [9577,] 3.040654e-05 2.728372e-05 3.078115e-05 3.182165e-05 3.604531e-05 #>  [9578,] 2.659443e-05 2.375509e-05 2.627650e-05 2.498169e-05 2.484167e-05 #>  [9579,] 2.403643e-05 2.236845e-05 3.154829e-05 2.607973e-05 2.638251e-05 #>  [9580,] 2.733821e-05 2.606839e-05 2.541549e-05 2.744379e-05 2.607892e-05 #>  [9581,] 3.139255e-05 3.089019e-05 3.142500e-05 3.548952e-05 3.956605e-05 #>  [9582,] 3.679935e-05 3.050028e-05 3.550583e-05 4.127565e-05 4.414661e-05 #>  [9583,] 2.919199e-05 2.785835e-05 3.537489e-05 3.091786e-05 3.292885e-05 #>  [9584,] 5.806951e-05 4.627208e-05 4.786448e-05 4.028209e-05 4.304867e-05 #>  [9585,] 2.809714e-05 2.571252e-05 3.498677e-05 3.977566e-05 3.825194e-05 #>  [9586,] 2.552104e-05 2.718083e-05 2.675801e-05 2.694100e-05 2.642262e-05 #>  [9587,] 3.651683e-05 4.067826e-05 3.972271e-05 3.223685e-05 3.071550e-05 #>  [9588,] 3.006076e-05 4.032487e-05 5.040789e-05 3.806154e-05 3.727798e-05 #>  [9589,] 2.856812e-05 2.470556e-05 2.640221e-05 2.722640e-05 2.913201e-05 #>  [9590,] 2.899321e-05 2.748659e-05 3.386682e-05 3.415122e-05 3.118161e-05 #>  [9591,] 1.219857e-04 7.069688e-05 8.023372e-05 7.423392e-05 6.733884e-05 #>  [9592,] 1.144602e-04 1.862677e-04 5.631880e-04 5.755046e-04 4.306655e-04 #>  [9593,] 2.953649e-05 3.015646e-05 3.507756e-05 3.349240e-05 3.196401e-05 #>  [9594,] 3.428889e-05 3.678813e-05 4.733450e-05 3.684943e-05 3.868666e-05 #>  [9595,] 2.379729e-05 2.307832e-05 2.446548e-05 2.461008e-05 2.437701e-05 #>  [9596,] 4.027962e-05 3.951763e-05 3.968441e-05 3.952358e-05 3.454258e-05 #>  [9597,] 1.462532e-04 9.388442e-05 9.910261e-05 1.341787e-04 8.024714e-05 #>  [9598,] 5.224760e-05 5.383632e-05 6.646417e-05 6.617618e-05 5.439255e-05 #>  [9599,] 2.652467e-05 2.253541e-05 2.513128e-05 2.766760e-05 2.691624e-05 #>  [9600,] 2.679148e-05 2.590256e-05 2.665586e-05 2.964641e-05 2.802504e-05 #>  [9601,] 2.872396e-05 2.799679e-05 3.395732e-05 3.222157e-05 3.354206e-05 #>  [9602,] 3.414983e-05 3.703609e-05 3.808656e-05 3.428860e-05 3.235561e-05 #>  [9603,] 2.742111e-05 2.949991e-05 3.779708e-05 2.870476e-05 3.104822e-05 #>  [9604,] 2.269580e-05 2.199697e-05 2.695008e-05 2.514621e-05 2.138356e-05 #>  [9605,] 3.035764e-05 2.778094e-05 3.698366e-05 3.268761e-05 3.561429e-05 #>  [9606,] 2.715649e-05 3.065825e-05 4.287084e-05 3.017037e-05 3.167318e-05 #>  [9607,] 2.752598e-05 3.087350e-05 3.420095e-05 3.304576e-05 3.355273e-05 #>  [9608,] 2.719848e-05 2.469403e-05 2.355002e-05 2.465434e-05 2.632399e-05 #>  [9609,] 2.988997e-05 2.962303e-05 2.844593e-05 2.946595e-05 2.620835e-05 #>  [9610,] 3.490132e-05 3.317334e-05 3.168202e-05 3.005110e-05 2.752855e-05 #>  [9611,] 3.421517e-05 2.884343e-05 3.575852e-05 3.974863e-05 4.516605e-05 #>  [9612,] 2.497328e-05 2.335617e-05 2.457561e-05 2.385167e-05 2.493635e-05 #>  [9613,] 3.258011e-05 3.601451e-05 5.395755e-05 5.458349e-05 5.367258e-05 #>  [9614,] 5.009395e-05 5.363807e-05 5.529217e-05 5.913202e-05 6.081447e-05 #>  [9615,] 3.741491e-05 4.540286e-05 6.056948e-05 4.928193e-05 4.161337e-05 #>  [9616,] 3.517534e-05 4.378311e-05 4.373357e-05 4.368847e-05 4.353012e-05 #>  [9617,] 2.705945e-05 2.816333e-05 3.247309e-05 2.947435e-05 3.242653e-05 #>  [9618,] 2.973527e-05 3.005661e-05 3.649055e-05 3.654497e-05 3.925744e-05 #>  [9619,] 3.347924e-05 3.748495e-05 5.173911e-05 4.048184e-05 4.269966e-05 #>  [9620,] 2.624431e-05 2.394166e-05 2.837290e-05 3.256635e-05 3.261778e-05 #>  [9621,] 3.708050e-05 3.283560e-05 4.382569e-05 4.724328e-05 4.369289e-05 #>  [9622,] 2.455951e-05 2.613751e-05 2.741191e-05 3.017134e-05 2.890939e-05 #>  [9623,] 8.970910e-05 1.268967e-04 7.590387e-05 3.897432e-05 4.324232e-05 #>  [9624,] 2.678215e-05 2.610387e-05 2.855103e-05 3.178856e-05 3.373525e-05 #>  [9625,] 2.745620e-05 2.557506e-05 2.579695e-05 2.903449e-05 2.781880e-05 #>  [9626,] 3.320834e-05 3.523669e-05 4.450012e-05 4.753910e-05 4.408806e-05 #>  [9627,] 4.251431e-05 5.530928e-05 7.648079e-05 7.195174e-05 6.451596e-05 #>  [9628,] 2.936484e-05 3.010133e-05 3.396985e-05 3.288577e-05 3.421464e-05 #>  [9629,] 2.928245e-05 2.916991e-05 2.897632e-05 2.964005e-05 2.994109e-05 #>  [9630,] 3.043448e-05 2.821651e-05 3.308509e-05 3.442796e-05 3.680420e-05 #>  [9631,] 3.173842e-04 3.361478e-04 2.263566e-04 2.198340e-04 1.428777e-04 #>  [9632,] 2.276747e-05 2.229145e-05 2.268184e-05 2.239648e-05 2.249914e-05 #>  [9633,] 2.316958e-04 2.930902e-04 6.189588e-05 6.246434e-05 1.302649e-04 #>  [9634,] 3.504488e-05 3.757174e-05 4.359735e-05 4.584064e-05 4.210934e-05 #>  [9635,] 4.153583e-05 5.898379e-05 1.014858e-04 7.434907e-05 5.700290e-05 #>  [9636,] 4.003733e-05 5.146976e-05 4.035740e-05 4.264841e-05 3.725226e-05 #>  [9637,] 2.599463e-05 2.668135e-05 2.493922e-05 2.775630e-05 2.793335e-05 #>  [9638,] 4.016394e-05 4.383687e-05 4.936300e-05 4.696386e-05 4.932005e-05 #>  [9639,] 3.107644e-05 3.232580e-05 6.505833e-05 5.620854e-05 5.017461e-05 #>  [9640,] 1.003732e-03 9.366452e-04 6.981390e-04 1.014478e-03 1.105997e-03 #>  [9641,] 2.533117e-05 2.184125e-05 2.598813e-05 2.975701e-05 2.706154e-05 #>  [9642,] 4.310753e-05 4.703501e-05 5.321677e-05 4.186858e-05 4.335726e-05 #>  [9643,] 2.893852e-05 3.322154e-05 4.195310e-05 3.361074e-05 3.731900e-05 #>  [9644,] 4.588318e-05 6.128232e-05 1.104204e-04 1.298500e-04 9.911169e-05 #>  [9645,] 6.146589e-05 6.301784e-05 7.690666e-05 9.641203e-05 1.047681e-04 #>  [9646,] 4.968460e-05 3.939822e-05 3.351548e-05 3.454717e-05 3.542036e-05 #>  [9647,] 3.047191e-05 2.871841e-05 3.250892e-05 3.387732e-05 3.679722e-05 #>  [9648,] 3.255392e-05 3.079699e-05 3.487502e-05 3.615913e-05 3.655049e-05 #>  [9649,] 1.417028e-04 1.673677e-04 1.360699e-04 1.362681e-04 1.447818e-04 #>  [9650,] 2.781663e-05 2.885591e-05 3.873809e-05 4.188569e-05 3.963686e-05 #>  [9651,] 3.110645e-05 2.932276e-05 3.231741e-05 3.733505e-05 3.209131e-05 #>  [9652,] 5.505460e-05 7.668744e-05 5.158673e-05 4.476426e-05 5.040059e-05 #>  [9653,] 9.931697e-05 7.510661e-05 5.477944e-05 6.727724e-05 9.773059e-05 #>  [9654,] 5.046821e-05 5.939803e-05 1.239909e-04 1.194403e-04 1.206355e-04 #>  [9655,] 2.603879e-05 2.852428e-05 3.446318e-05 3.075172e-05 3.164200e-05 #>  [9656,] 5.910265e-05 2.779248e-05 2.628276e-05 2.780945e-05 2.588442e-05 #>  [9657,] 2.948138e-05 2.663095e-05 2.667347e-05 3.118001e-05 3.306626e-05 #>  [9658,] 4.106940e-05 4.229941e-05 4.835915e-05 4.650798e-05 3.763784e-05 #>  [9659,] 4.963437e-04 6.826602e-04 3.977798e-04 4.160871e-04 2.963154e-04 #>  [9660,] 2.660056e-05 2.768638e-05 3.066737e-05 2.893631e-05 3.025777e-05 #>  [9661,] 3.006059e-05 2.664673e-05 2.839546e-05 2.881018e-05 2.500082e-05 #>  [9662,] 3.313271e-05 4.265134e-05 3.118289e-05 3.157125e-05 3.052814e-05 #>  [9663,] 2.976296e-05 3.180385e-05 3.657562e-05 3.925912e-05 3.766711e-05 #>  [9664,] 5.718126e-05 8.346961e-05 7.154678e-05 6.817446e-05 7.472437e-05 #>  [9665,] 2.465577e-05 2.252427e-05 2.418097e-05 2.448358e-05 2.453390e-05 #>  [9666,] 3.410981e-05 3.239874e-05 3.112569e-05 3.191907e-05 3.508967e-05 #>  [9667,] 2.715338e-05 3.015861e-05 3.632125e-05 2.958677e-05 2.978613e-05 #>  [9668,] 3.270711e-05 3.226305e-05 3.668039e-05 3.656151e-05 3.647587e-05 #>  [9669,] 3.194250e-05 2.937536e-05 3.287485e-05 3.675764e-05 3.089125e-05 #>  [9670,] 3.581006e-05 3.201512e-05 3.700005e-05 4.018265e-05 3.606969e-05 #>  [9671,] 1.065601e-04 1.093158e-04 1.341344e-04 1.311221e-04 1.098754e-04 #>  [9672,] 2.656834e-05 2.300500e-05 2.606336e-05 2.597882e-05 2.433501e-05 #>  [9673,] 2.542834e-05 2.498813e-05 2.806415e-05 2.860909e-05 2.985685e-05 #>  [9674,] 4.899039e-05 6.020552e-05 7.375624e-05 6.403750e-05 5.825480e-05 #>  [9675,] 2.922778e-05 3.004140e-05 3.588896e-05 2.940912e-05 3.127363e-05 #>  [9676,] 3.147004e-05 2.672246e-05 2.588195e-05 2.580400e-05 2.704280e-05 #>  [9677,] 5.870189e-05 5.456417e-05 3.529312e-05 3.660220e-05 3.642715e-05 #>  [9678,] 3.683573e-05 4.537557e-05 3.199975e-05 3.458750e-05 2.987326e-05 #>  [9679,] 3.225383e-05 3.516009e-05 5.253084e-05 4.578582e-05 3.997047e-05 #>  [9680,] 2.722194e-05 2.626252e-05 2.944761e-05 2.940157e-05 2.879871e-05 #>  [9681,] 2.397491e-05 2.647368e-05 2.844346e-05 2.775510e-05 2.890678e-05 #>  [9682,] 3.555292e-05 4.001407e-05 4.361998e-05 4.006683e-05 3.493156e-05 #>  [9683,] 4.398096e-05 4.444437e-05 5.296648e-05 5.382694e-05 4.604891e-05 #>  [9684,] 3.073549e-05 3.345132e-05 4.014499e-05 3.923181e-05 3.569467e-05 #>  [9685,] 3.474120e-05 3.909481e-05 5.749613e-05 4.962632e-05 4.272370e-05 #>  [9686,] 3.251083e-05 3.116266e-05 3.014348e-05 3.280439e-05 3.712790e-05 #>  [9687,] 3.434756e-05 4.326974e-05 6.315592e-05 6.658484e-05 4.678933e-05 #>  [9688,] 2.212404e-05 2.128173e-05 2.458098e-05 2.422886e-05 2.174973e-05 #>  [9689,] 3.036249e-05 2.756871e-05 3.328083e-05 3.797680e-05 4.365554e-05 #>  [9690,] 2.638906e-05 2.443689e-05 2.505016e-05 2.585113e-05 2.318105e-05 #>  [9691,] 2.862563e-05 2.774320e-05 2.998987e-05 3.106452e-05 2.895634e-05 #>  [9692,] 1.091086e-03 1.214495e-03 1.088204e-03 1.113999e-03 6.270372e-04 #>  [9693,] 4.345856e-05 4.209614e-05 4.277358e-05 4.448214e-05 3.792078e-05 #>  [9694,] 2.500484e-04 3.681192e-04 8.260718e-04 6.122845e-04 3.727311e-04 #>  [9695,] 2.932660e-05 3.414908e-05 3.248849e-05 3.050393e-05 4.561490e-05 #>  [9696,] 2.659217e-05 2.433041e-05 2.751194e-05 2.907592e-05 2.855641e-05 #>  [9697,] 3.183427e-05 3.834718e-05 6.602293e-05 5.530424e-05 4.608551e-05 #>  [9698,] 2.735019e-05 2.754462e-05 3.255075e-05 3.374864e-05 3.082229e-05 #>  [9699,] 3.311801e-05 3.754941e-05 4.790332e-05 4.947068e-05 4.413807e-05 #>  [9700,] 2.450425e-05 2.545553e-05 2.484345e-05 2.585089e-05 2.448782e-05 #>  [9701,] 2.884513e-05 2.908543e-05 3.742172e-05 3.461520e-05 4.409153e-05 #>  [9702,] 3.914528e-05 2.461446e-05 2.676266e-05 2.891435e-05 2.775449e-05 #>  [9703,] 3.210543e-05 3.337508e-05 3.879382e-05 4.129947e-05 4.060751e-05 #>  [9704,] 2.652278e-05 2.743489e-05 3.291530e-05 3.328991e-05 3.322608e-05 #>  [9705,] 3.742251e-05 3.792213e-05 5.303066e-05 3.798217e-05 3.508539e-05 #>  [9706,] 2.946187e-05 2.888216e-05 3.469366e-05 3.572221e-05 3.262242e-05 #>  [9707,] 3.875535e-05 3.987772e-05 3.823890e-05 3.902578e-05 3.570061e-05 #>  [9708,] 3.547740e-05 3.281080e-05 3.822094e-05 4.087760e-05 3.531176e-05 #>  [9709,] 4.359578e-05 4.011319e-05 5.865900e-05 4.513773e-05 4.302905e-05 #>  [9710,] 2.855921e-05 2.863155e-05 3.342755e-05 3.643875e-05 3.399444e-05 #>  [9711,] 2.593165e-05 2.637744e-05 2.490532e-05 2.680917e-05 2.787032e-05 #>  [9712,] 1.577651e-04 1.603237e-04 1.408433e-04 1.256214e-04 1.251077e-04 #>  [9713,] 3.537866e-05 2.322397e-05 2.395216e-05 2.343341e-05 3.209680e-05 #>  [9714,] 4.659746e-05 5.151037e-05 5.976640e-05 8.387218e-05 8.602864e-05 #>  [9715,] 3.372273e-05 3.272631e-05 3.218018e-05 3.279318e-05 3.381671e-05 #>  [9716,] 2.766536e-05 2.568725e-05 2.600688e-05 2.774921e-05 2.469724e-05 #>  [9717,] 2.675896e-05 2.791507e-05 2.899226e-05 3.476767e-05 3.909588e-05 #>  [9718,] 5.106686e-05 6.608655e-05 4.733876e-05 5.016945e-05 8.582562e-05 #>  [9719,] 3.582365e-05 2.864571e-05 3.021505e-05 3.673618e-05 2.846114e-05 #>  [9720,] 2.803855e-05 2.888345e-05 2.818186e-05 3.262711e-05 3.095023e-05 #>  [9721,] 2.465030e-05 2.402862e-05 2.590089e-05 2.871605e-05 2.775139e-05 #>  [9722,] 3.006506e-05 2.908091e-05 3.200490e-05 3.475884e-05 3.408405e-05 #>  [9723,] 2.747851e-05 2.936649e-05 3.100098e-05 3.057735e-05 2.970278e-05 #>  [9724,] 3.341975e-05 3.128006e-05 3.127610e-05 3.273803e-05 3.469805e-05 #>  [9725,] 7.904655e-05 9.298582e-05 6.812510e-05 6.042603e-05 5.169466e-05 #>  [9726,] 2.958446e-05 2.798509e-05 3.024558e-05 3.290338e-05 3.587296e-05 #>  [9727,] 5.247403e-05 6.152957e-05 5.971235e-05 6.044029e-05 5.715586e-05 #>  [9728,] 3.818211e-05 3.919221e-05 5.534767e-05 4.013470e-05 3.411948e-05 #>  [9729,] 2.656228e-05 2.432295e-05 2.437688e-05 3.058350e-05 2.975613e-05 #>  [9730,] 2.699321e-04 2.972464e-04 1.676252e-04 1.678992e-04 2.586109e-04 #>  [9731,] 3.240265e-05 3.189790e-05 3.177116e-05 3.528840e-05 3.838842e-05 #>  [9732,] 4.374032e-05 3.638423e-05 6.979479e-05 6.042891e-05 4.496435e-05 #>  [9733,] 4.766257e-05 4.657760e-05 4.381772e-05 4.709998e-05 4.063145e-05 #>  [9734,] 5.257123e-05 7.225536e-05 7.655639e-05 6.013050e-05 5.330268e-05 #>  [9735,] 3.044220e-05 3.224617e-05 3.296797e-05 3.570302e-05 3.384821e-05 #>  [9736,] 3.150908e-05 3.311104e-05 3.071330e-05 3.237827e-05 3.239490e-05 #>  [9737,] 2.794775e-05 2.653625e-05 3.034263e-05 3.301203e-05 3.003467e-05 #>  [9738,] 3.594102e-05 3.470116e-05 3.683569e-05 3.730445e-05 3.897316e-05 #>  [9739,] 2.482508e-05 2.537479e-05 2.677263e-05 2.559270e-05 2.644921e-05 #>  [9740,] 3.093511e-05 2.971305e-05 3.281366e-05 3.281895e-05 2.991083e-05 #>  [9741,] 2.544397e-05 2.836559e-05 3.352406e-05 2.984850e-05 3.177970e-05 #>  [9742,] 4.926567e-05 6.026759e-05 5.297897e-05 5.049270e-05 5.104167e-05 #>  [9743,] 3.986758e-05 4.293442e-05 3.444541e-05 3.641149e-05 3.699553e-05 #>  [9744,] 2.503574e-05 2.591070e-05 2.613635e-05 2.580229e-05 2.461924e-05 #>  [9745,] 2.569844e-05 2.469230e-05 2.626443e-05 2.994236e-05 3.088627e-05 #>  [9746,] 2.296335e-05 2.250881e-05 2.515310e-05 2.689065e-05 2.634434e-05 #>  [9747,] 2.961240e-05 3.232072e-05 3.905524e-05 3.373199e-05 3.556120e-05 #>  [9748,] 2.709466e-05 3.230114e-05 3.301848e-05 3.115356e-05 3.387990e-05 #>  [9749,] 3.539909e-05 3.966111e-05 4.178994e-05 3.599547e-05 3.539192e-05 #>  [9750,] 2.775189e-05 2.694594e-05 2.772955e-05 3.151596e-05 3.741412e-05 #>  [9751,] 4.545894e-05 3.631313e-05 3.761747e-05 4.804801e-05 3.771844e-05 #>  [9752,] 2.821967e-05 3.359362e-05 3.740150e-05 3.529904e-05 3.313306e-05 #>  [9753,] 5.128816e-05 5.425982e-05 5.683090e-05 6.642506e-05 8.920246e-05 #>  [9754,] 3.234281e-05 3.087379e-05 3.175430e-05 3.192850e-05 4.194502e-05 #>  [9755,] 2.948497e-05 2.846787e-05 3.304491e-05 3.963941e-05 4.717672e-05 #>  [9756,] 2.545159e-05 2.521427e-05 2.571706e-05 2.582826e-05 2.524876e-05 #>  [9757,] 5.111518e-05 5.509096e-05 5.544150e-05 5.173088e-05 5.082452e-05 #>  [9758,] 3.503644e-05 3.715623e-05 4.246170e-05 3.794343e-05 3.892023e-05 #>  [9759,] 2.187993e-05 2.434779e-05 2.623420e-05 2.521544e-05 3.094658e-05 #>  [9760,] 2.898619e-05 2.859268e-05 3.129013e-05 3.158983e-05 2.985807e-05 #>  [9761,] 2.547854e-05 2.428428e-05 2.731241e-05 2.989704e-05 2.780232e-05 #>  [9762,] 3.357796e-05 3.867551e-05 3.992203e-05 3.925672e-05 3.700719e-05 #>  [9763,] 2.485374e-05 2.437392e-05 2.655722e-05 2.957112e-05 2.804675e-05 #>  [9764,] 3.602403e-05 4.410446e-05 5.245566e-05 4.589453e-05 4.963583e-05 #>  [9765,] 2.698847e-05 2.927404e-05 2.825690e-05 2.667784e-05 2.754536e-05 #>  [9766,] 2.650758e-05 2.717216e-05 3.358108e-05 3.163674e-05 2.795893e-05 #>  [9767,] 2.706286e-05 3.040360e-05 4.001699e-05 3.862238e-05 3.724614e-05 #>  [9768,] 3.336214e-05 3.351675e-05 4.655207e-05 4.031963e-05 3.676461e-05 #>  [9769,] 3.032238e-05 2.775702e-05 3.177953e-05 3.615456e-05 2.916135e-05 #>  [9770,] 2.630550e-05 2.943273e-05 3.058651e-05 3.001525e-05 3.293883e-05 #>  [9771,] 2.769037e-05 2.939141e-05 4.291909e-05 3.231310e-05 3.447692e-05 #>  [9772,] 9.094820e-05 1.326928e-04 2.525163e-04 2.521783e-04 2.616752e-04 #>  [9773,] 3.718476e-05 3.107424e-05 3.291833e-05 4.066119e-05 3.231030e-05 #>  [9774,] 3.188825e-05 3.853150e-05 6.033744e-05 4.753717e-05 4.278181e-05 #>  [9775,] 5.110981e-05 8.541965e-05 3.809493e-05 4.402876e-05 6.078386e-05 #>  [9776,] 1.061655e-04 6.807457e-05 6.536003e-05 7.277232e-05 8.553901e-05 #>  [9777,] 4.068893e-05 3.209304e-05 4.233708e-05 3.604029e-05 3.689684e-05 #>  [9778,] 2.813313e-05 2.748054e-05 2.487343e-05 2.496748e-05 2.502185e-05 #>  [9779,] 2.526389e-05 2.989104e-05 3.304580e-05 3.061401e-05 3.178506e-05 #>  [9780,] 2.900448e-05 2.988496e-05 2.911592e-05 2.971765e-05 2.923272e-05 #>  [9781,] 3.238636e-05 3.269972e-05 3.759015e-05 3.757473e-05 3.526005e-05 #>  [9782,] 1.952720e-04 1.168821e-04 5.651741e-05 6.138067e-05 6.578043e-05 #>  [9783,] 2.750771e-05 2.999333e-05 3.628366e-05 3.023614e-05 3.085792e-05 #>  [9784,] 2.404186e-05 2.249929e-05 2.286422e-05 2.429288e-05 2.369894e-05 #>  [9785,] 2.808677e-05 2.600078e-05 2.815411e-05 2.949523e-05 2.845618e-05 #>  [9786,] 2.349524e-05 2.380638e-05 2.523028e-05 2.653942e-05 2.532302e-05 #>  [9787,] 4.861371e-05 5.300501e-05 4.666490e-05 4.453307e-05 3.703503e-05 #>  [9788,] 2.494335e-05 2.502230e-05 2.740029e-05 3.021334e-05 3.038261e-05 #>  [9789,] 2.412570e-05 2.353162e-05 2.533955e-05 2.686408e-05 2.561259e-05 #>  [9790,] 2.496463e-05 2.542379e-05 2.883360e-05 2.985487e-05 3.011629e-05 #>  [9791,] 3.080962e-05 2.779570e-05 3.323057e-05 3.627601e-05 3.352393e-05 #>  [9792,] 2.864269e-05 3.072624e-05 3.715273e-05 3.720144e-05 3.591923e-05 #>  [9793,] 3.143945e-05 3.671580e-05 5.195723e-05 3.522620e-05 3.373595e-05 #>  [9794,] 2.955210e-05 2.862838e-05 2.836098e-05 3.102167e-05 2.820944e-05 #>  [9795,] 2.630106e-05 2.413415e-05 2.424013e-05 2.966628e-05 2.811848e-05 #>  [9796,] 3.683814e-05 3.479798e-05 4.128009e-05 4.231947e-05 3.994410e-05 #>  [9797,] 4.637206e-04 8.344511e-04 6.726921e-04 2.767894e-04 3.533891e-04 #>  [9798,] 2.827033e-05 2.518790e-05 2.583671e-05 3.116017e-05 3.126505e-05 #>  [9799,] 4.179075e-05 4.892660e-05 1.140377e-04 8.300872e-05 8.776724e-05 #>  [9800,] 3.710489e-05 3.505634e-05 2.972474e-05 2.997773e-05 2.981139e-05 #>  [9801,] 2.489903e-05 2.608133e-05 2.923111e-05 3.000023e-05 3.168030e-05 #>  [9802,] 2.919610e-05 2.684508e-05 3.330043e-05 3.910813e-05 4.183739e-05 #>  [9803,] 3.065470e-05 3.166211e-05 3.184148e-05 3.541191e-05 3.955314e-05 #>  [9804,] 1.309548e-04 8.208673e-05 1.593824e-04 1.351113e-04 1.554689e-04 #>  [9805,] 2.417272e-05 2.324353e-05 2.695974e-05 2.821733e-05 2.799247e-05 #>  [9806,] 3.115490e-05 3.150994e-05 3.596333e-05 3.443379e-05 3.294370e-05 #>  [9807,] 3.500467e-05 4.397352e-05 4.006677e-05 3.922135e-05 4.333132e-05 #>  [9808,] 3.645792e-05 3.284023e-05 3.096737e-05 3.222317e-05 3.009017e-05 #>  [9809,] 2.445910e-05 2.773659e-05 2.900900e-05 3.016587e-05 3.022262e-05 #>  [9810,] 3.036166e-05 3.005264e-05 4.954995e-05 4.146280e-05 4.269482e-05 #>  [9811,] 2.830585e-05 2.655876e-05 2.750171e-05 3.178888e-05 3.291092e-05 #>  [9812,] 2.668753e-05 2.403037e-05 2.771996e-05 2.729514e-05 2.694696e-05 #>  [9813,] 2.575409e-05 2.476418e-05 2.792948e-05 3.037930e-05 2.846905e-05 #>  [9814,] 5.871316e-05 4.135734e-05 3.125566e-05 3.661140e-05 3.353176e-05 #>  [9815,] 3.975765e-05 3.286685e-05 4.080598e-05 5.096846e-05 4.669163e-05 #>  [9816,] 1.254704e-04 1.024805e-04 1.871715e-04 1.633229e-04 1.363560e-04 #>  [9817,] 2.532682e-05 2.561487e-05 2.988985e-05 3.008135e-05 3.132750e-05 #>  [9818,] 2.655364e-05 2.592788e-05 2.402745e-05 2.563643e-05 2.483285e-05 #>  [9819,] 1.416470e-04 8.285955e-05 4.162962e-05 3.936854e-05 4.772800e-05 #>  [9820,] 3.483528e-05 2.934584e-05 3.463086e-05 3.762946e-05 3.495768e-05 #>  [9821,] 9.544199e-05 1.600696e-04 1.028003e-04 7.920005e-05 8.821111e-05 #>  [9822,] 4.038069e-05 4.155035e-05 5.328181e-05 4.210655e-05 4.180995e-05 #>  [9823,] 3.771591e-05 2.989270e-05 5.858566e-05 3.839347e-05 2.754702e-05 #>  [9824,] 2.732791e-05 2.432312e-05 2.738791e-05 2.895544e-05 2.555809e-05 #>  [9825,] 4.828192e-05 5.195784e-05 4.604670e-05 4.951190e-05 5.021789e-05 #>  [9826,] 1.594196e-04 2.038747e-04 1.615283e-04 1.864036e-04 2.200187e-04 #>  [9827,] 2.508603e-05 2.254962e-05 2.683504e-05 2.926548e-05 2.813092e-05 #>  [9828,] 3.189476e-05 2.935039e-05 3.250228e-05 3.271483e-05 3.303638e-05 #>  [9829,] 3.556832e-05 3.123039e-05 3.639698e-05 3.896968e-05 4.354449e-05 #>  [9830,] 3.539555e-05 4.995458e-05 4.375712e-05 3.886089e-05 3.370670e-05 #>  [9831,] 6.366341e-05 9.203504e-05 5.022774e-05 5.177139e-05 1.248199e-04 #>  [9832,] 2.517235e-05 2.333235e-05 2.302725e-05 2.423161e-05 2.523488e-05 #>  [9833,] 6.809104e-05 7.502113e-05 1.081956e-04 1.618674e-04 1.578221e-04 #>  [9834,] 1.160133e-04 2.274554e-04 8.067809e-05 5.554455e-05 1.215582e-04 #>  [9835,] 2.847883e-05 2.494019e-05 2.597506e-05 2.599402e-05 2.590114e-05 #>  [9836,] 2.570360e-05 2.628608e-05 2.959366e-05 2.980094e-05 3.172207e-05 #>  [9837,] 4.325129e-05 4.464163e-05 1.306862e-04 1.565914e-04 1.524935e-04 #>  [9838,] 3.221089e-05 3.127097e-05 3.610187e-05 3.560735e-05 3.523161e-05 #>  [9839,] 2.520764e-05 2.392215e-05 2.658150e-05 3.314216e-05 2.924979e-05 #>  [9840,] 1.869902e-03 1.742913e-03 1.137202e-03 9.869892e-04 1.084708e-03 #>  [9841,] 1.821178e-04 1.271334e-04 1.342145e-04 1.517249e-04 1.620554e-04 #>  [9842,] 1.006862e-04 6.006720e-05 6.440167e-05 1.020372e-04 1.589494e-04 #>  [9843,] 4.819316e-05 4.346132e-05 3.116211e-05 3.226277e-05 3.677068e-05 #>  [9844,] 1.708396e-04 1.050483e-04 6.480208e-05 6.078780e-05 6.384990e-05 #>  [9845,] 3.321822e-05 3.550847e-05 4.654701e-05 3.628047e-05 3.509083e-05 #>  [9846,] 2.555587e-05 2.427426e-05 2.580466e-05 2.589765e-05 2.314974e-05 #>  [9847,] 2.664447e-05 2.334287e-05 2.542365e-05 2.846752e-05 2.776383e-05 #>  [9848,] 2.279869e-05 2.277677e-05 2.578363e-05 2.975074e-05 3.026414e-05 #>  [9849,] 3.182055e-05 3.574908e-05 4.212827e-05 3.915870e-05 3.711404e-05 #>  [9850,] 2.939962e-05 2.840674e-05 3.176935e-05 3.070667e-05 2.953837e-05 #>  [9851,] 3.206787e-05 3.923988e-05 3.746368e-05 3.515263e-05 3.675505e-05 #>  [9852,] 4.419118e-05 4.204155e-05 3.683033e-05 4.051930e-05 4.468278e-05 #>  [9853,] 2.650649e-05 3.313496e-05 3.580941e-05 3.584720e-05 3.472564e-05 #>  [9854,] 1.301233e-03 1.309748e-03 1.005238e-03 1.205576e-03 2.172601e-03 #>  [9855,] 2.491770e-05 2.684077e-05 2.661848e-05 2.661439e-05 2.882812e-05 #>  [9856,] 2.155871e-03 1.693263e-03 1.346910e-03 1.936257e-03 2.125682e-03 #>  [9857,] 3.251859e-05 3.715688e-05 4.359585e-05 5.003068e-05 5.998206e-05 #>  [9858,] 1.603634e-04 1.580487e-04 1.437390e-04 1.552129e-04 1.614182e-04 #>  [9859,] 1.009321e-04 1.370739e-04 1.082174e-04 8.857818e-05 1.037588e-04 #>  [9860,] 4.916008e-05 4.883851e-05 4.927847e-05 4.829314e-05 4.563395e-05 #>  [9861,] 3.953525e-05 3.703143e-05 3.439175e-05 3.847814e-05 4.742933e-05 #>  [9862,] 3.150030e-05 3.546101e-05 3.763775e-05 4.124789e-05 3.187507e-05 #>  [9863,] 2.240296e-05 2.279592e-05 2.677204e-05 2.555324e-05 2.155365e-05 #>  [9864,] 2.451736e-05 2.217611e-05 2.463259e-05 2.560685e-05 2.487606e-05 #>  [9865,] 3.246399e-05 3.388629e-05 5.515814e-05 3.853848e-05 3.429241e-05 #>  [9866,] 3.643265e-05 4.176048e-05 6.920406e-05 6.396902e-05 5.967608e-05 #>  [9867,] 3.369182e-05 4.688236e-05 5.285922e-05 4.340641e-05 4.446097e-05 #>  [9868,] 2.769931e-05 2.236467e-05 2.397521e-05 2.637772e-05 2.499893e-05 #>  [9869,] 3.020485e-05 2.737702e-05 3.635510e-05 3.856630e-05 4.351515e-05 #>  [9870,] 5.157138e-05 3.825870e-05 6.064379e-05 5.488007e-05 4.524581e-05 #>  [9871,] 3.963549e-05 4.037419e-05 4.840239e-05 4.993695e-05 4.114642e-05 #>  [9872,] 4.331367e-05 3.960344e-05 7.469183e-05 8.027685e-05 7.453795e-05 #>  [9873,] 7.423461e-05 6.951217e-05 8.685548e-05 9.975235e-05 9.644108e-05 #>  [9874,] 2.233573e-04 4.019992e-04 8.648645e-04 5.962108e-04 3.498396e-04 #>  [9875,] 3.635626e-05 3.651472e-05 3.086117e-05 3.460820e-05 3.436406e-05 #>  [9876,] 7.852122e-05 9.454959e-05 1.043735e-04 1.028103e-04 1.073041e-04 #>  [9877,] 2.718472e-05 2.913264e-05 3.774122e-05 3.022668e-05 3.156430e-05 #>  [9878,] 2.626765e-05 2.445170e-05 2.726520e-05 3.313321e-05 3.102513e-05 #>  [9879,] 3.243305e-05 3.094280e-05 3.513153e-05 3.481454e-05 3.519303e-05 #>  [9880,] 3.011355e-05 2.789160e-05 2.961593e-05 3.341224e-05 3.287406e-05 #>  [9881,] 4.915169e-05 6.410346e-05 5.032026e-05 5.017066e-05 4.960192e-05 #>  [9882,] 3.647739e-05 3.460766e-05 2.999894e-05 3.253587e-05 3.102447e-05 #>  [9883,] 2.795999e-05 2.980916e-05 2.777545e-05 2.882947e-05 2.847072e-05 #>  [9884,] 2.476911e-05 2.436063e-05 2.594910e-05 2.726672e-05 2.921531e-05 #>  [9885,] 2.934765e-05 3.597024e-05 2.723346e-05 2.495070e-05 2.772623e-05 #>  [9886,] 3.542877e-05 3.414069e-05 3.349507e-05 3.851900e-05 3.685094e-05 #>  [9887,] 4.899604e-05 7.827671e-05 2.779215e-04 8.010401e-05 4.433098e-05 #>  [9888,] 7.571293e-05 1.105315e-04 1.102501e-04 2.263309e-04 4.897319e-04 #>  [9889,] 2.271524e-05 2.203833e-05 2.329259e-05 2.206447e-05 2.228380e-05 #>  [9890,] 4.050786e-05 4.189238e-05 2.711968e-05 2.974155e-05 2.498882e-05 #>  [9891,] 1.579297e-04 2.095683e-04 1.941180e-04 2.071014e-04 1.937933e-04 #>  [9892,] 2.040978e-04 2.859718e-04 5.972325e-05 3.843458e-05 3.020865e-05 #>  [9893,] 5.164832e-05 8.900884e-05 5.118891e-05 3.926812e-05 4.781304e-05 #>  [9894,] 3.858028e-05 3.652148e-05 3.600788e-05 3.363210e-05 3.222626e-05 #>  [9895,] 2.275045e-05 2.321686e-05 2.280429e-05 2.231451e-05 2.600414e-05 #>  [9896,] 3.948203e-05 4.228123e-05 3.496814e-05 3.595377e-05 3.586029e-05 #>  [9897,] 3.978351e-05 3.340886e-05 3.213681e-05 3.171553e-05 2.972086e-05 #>  [9898,] 3.343428e-05 3.750535e-05 3.436230e-05 3.649805e-05 4.122790e-05 #>  [9899,] 4.584462e-05 4.128062e-05 4.250644e-05 4.560116e-05 4.226468e-05 #>  [9900,] 2.956854e-05 3.206069e-05 3.986481e-05 3.977835e-05 3.803527e-05 #>  [9901,] 2.360286e-05 2.600600e-05 2.582790e-05 2.630262e-05 2.724343e-05 #>  [9902,] 2.578567e-05 2.333683e-05 2.490942e-05 2.792512e-05 2.759956e-05 #>  [9903,] 2.385958e-05 2.512671e-05 2.717743e-05 2.593695e-05 2.620051e-05 #>  [9904,] 3.317624e-05 3.021954e-05 2.861297e-05 2.935515e-05 2.729102e-05 #>  [9905,] 2.702765e-05 2.669868e-05 3.207834e-05 4.088692e-05 3.976228e-05 #>  [9906,] 4.917517e-05 5.150024e-05 7.281095e-05 6.648632e-05 4.913680e-05 #>  [9907,] 3.498969e-05 3.060728e-05 4.840103e-05 5.232974e-05 4.804796e-05 #>  [9908,] 3.296878e-05 2.818190e-05 3.750286e-05 3.749903e-05 4.053995e-05 #>  [9909,] 2.665250e-04 1.504822e-04 4.116420e-05 4.764860e-05 4.843392e-05 #>  [9910,] 4.024927e-05 3.924392e-05 6.573971e-05 5.259814e-05 4.901633e-05 #>  [9911,] 4.005037e-05 3.371368e-05 4.715233e-05 5.841935e-05 6.512468e-05 #>  [9912,] 6.872489e-05 4.258234e-05 6.483992e-05 5.168130e-05 4.394510e-05 #>  [9913,] 3.330843e-05 3.827073e-05 5.703421e-05 5.241905e-05 4.741111e-05 #>  [9914,] 3.167123e-05 3.223593e-05 3.120777e-05 3.548333e-05 4.151467e-05 #>  [9915,] 3.777896e-04 4.714661e-04 2.436141e-04 2.916510e-04 3.148303e-04 #>  [9916,] 2.189881e-05 2.075320e-05 2.316363e-05 2.379245e-05 2.290057e-05 #>  [9917,] 3.127227e-05 2.895888e-05 3.224809e-05 3.653462e-05 3.129562e-05 #>  [9918,] 2.765209e-05 2.638624e-05 2.812237e-05 2.833437e-05 2.942068e-05 #>  [9919,] 3.443042e-05 3.474880e-05 3.587297e-05 3.562888e-05 3.678047e-05 #>  [9920,] 3.139127e-05 2.534706e-05 3.151579e-05 4.888614e-05 4.100891e-05 #>  [9921,] 5.242553e-05 3.526696e-05 4.124123e-05 3.985291e-05 4.493406e-05 #>  [9922,] 2.651259e-05 2.587743e-05 2.610436e-05 2.840303e-05 2.664004e-05 #>  [9923,] 2.917213e-05 2.684095e-05 2.697020e-05 2.860210e-05 2.727771e-05 #>  [9924,] 3.165931e-05 2.918494e-05 2.781220e-05 3.503787e-05 3.858195e-05 #>  [9925,] 1.935317e-04 1.882749e-04 2.642627e-04 2.743717e-04 2.072716e-04 #>  [9926,] 2.838371e-05 2.215245e-05 2.255854e-05 2.459533e-05 2.198115e-05 #>  [9927,] 4.143002e-05 4.381913e-05 4.271064e-05 4.276512e-05 4.178242e-05 #>  [9928,] 1.105730e-03 9.272366e-04 8.274061e-04 1.067908e-03 1.265978e-03 #>  [9929,] 6.704235e-05 7.089467e-05 4.084806e-05 3.898910e-05 3.885413e-05 #>  [9930,] 2.827605e-05 2.701342e-05 2.631671e-05 2.679361e-05 2.577030e-05 #>  [9931,] 9.726083e-04 1.288811e-03 1.454182e-03 1.412814e-03 1.279246e-03 #>  [9932,] 3.275043e-05 3.332479e-05 4.030586e-05 4.316197e-05 4.035036e-05 #>  [9933,] 3.773748e-05 3.655734e-05 4.520473e-05 5.221668e-05 6.355058e-05 #>  [9934,] 2.820571e-04 4.401609e-04 5.417791e-04 5.789436e-04 3.956400e-04 #>  [9935,] 2.902396e-05 3.291572e-05 4.183306e-05 3.306585e-05 3.379422e-05 #>  [9936,] 2.491409e-05 3.492742e-05 3.765524e-05 3.181843e-05 3.844107e-05 #>  [9937,] 3.376791e-05 2.979604e-05 3.877818e-05 4.624610e-05 4.742460e-05 #>  [9938,] 4.030992e-05 3.908938e-05 4.144881e-05 3.812501e-05 3.912247e-05 #>  [9939,] 3.458518e-05 3.357960e-05 3.134866e-05 3.199142e-05 3.122183e-05 #>  [9940,] 3.067451e-05 3.457507e-05 3.022173e-05 2.933924e-05 3.556259e-05 #>  [9941,] 2.334417e-05 1.988326e-05 2.238673e-05 2.310750e-05 2.317456e-05 #>  [9942,] 2.597660e-05 2.299836e-05 2.528814e-05 2.792399e-05 2.809893e-05 #>  [9943,] 3.035704e-05 2.591906e-05 2.907291e-05 3.596537e-05 3.424343e-05 #>  [9944,] 3.608412e-05 3.762642e-05 3.761328e-05 3.787704e-05 4.037035e-05 #>  [9945,] 3.576281e-05 3.431245e-05 3.759412e-05 4.197842e-05 3.626499e-05 #>  [9946,] 2.919988e-05 3.150114e-05 4.278973e-05 3.293035e-05 3.175902e-05 #>  [9947,] 2.672876e-05 2.446072e-05 2.422778e-05 2.609794e-05 2.397997e-05 #>  [9948,] 1.333723e-04 1.690697e-04 4.187067e-04 3.296378e-04 2.650577e-04 #>  [9949,] 3.215002e-05 3.068581e-05 3.318256e-05 3.444138e-05 3.164740e-05 #>  [9950,] 2.645754e-05 2.812052e-05 3.298282e-05 3.264068e-05 3.183718e-05 #>  [9951,] 3.582906e-05 4.097489e-05 5.111838e-05 4.475071e-05 3.772236e-05 #>  [9952,] 2.668050e-05 2.569273e-05 2.390601e-05 2.612178e-05 2.428868e-05 #>  [9953,] 2.746267e-05 2.648572e-05 2.746761e-05 2.726436e-05 2.741765e-05 #>  [9954,] 3.511790e-05 4.076628e-05 6.855128e-05 6.579398e-05 5.059566e-05 #>  [9955,] 2.814859e-05 3.171871e-05 3.496392e-05 3.620060e-05 3.429570e-05 #>  [9956,] 2.866227e-05 3.060846e-05 3.262548e-05 3.490927e-05 3.019844e-05 #>  [9957,] 2.415845e-05 2.258729e-05 2.403875e-05 2.441138e-05 2.325594e-05 #>  [9958,] 2.564863e-05 2.263879e-05 2.629115e-05 2.803176e-05 2.652605e-05 #>  [9959,] 2.674603e-05 2.432396e-05 2.790989e-05 3.226657e-05 3.028806e-05 #>  [9960,] 6.509845e-05 8.976512e-05 9.725547e-05 8.738490e-05 1.009390e-04 #>  [9961,] 6.258302e-05 4.252465e-05 5.490215e-05 6.536087e-05 7.158613e-05 #>  [9962,] 2.303790e-05 2.494621e-05 2.301353e-05 2.359630e-05 2.342926e-05 #>  [9963,] 2.597984e-05 2.648170e-05 2.516241e-05 2.620847e-05 2.700853e-05 #>  [9964,] 2.810349e-05 2.576616e-05 2.712160e-05 3.113405e-05 2.686962e-05 #>  [9965,] 2.490026e-05 2.368548e-05 2.197920e-05 2.359102e-05 2.389815e-05 #>  [9966,] 3.007266e-05 3.437042e-05 3.513268e-05 3.640694e-05 3.543954e-05 #>  [9967,] 2.745057e-05 2.874812e-05 3.264245e-05 2.973286e-05 3.148548e-05 #>  [9968,] 2.537476e-05 2.497317e-05 2.713744e-05 2.637278e-05 2.829481e-05 #>  [9969,] 1.254206e-04 1.630337e-04 2.304089e-04 2.668928e-04 1.744630e-04 #>  [9970,] 4.915177e-05 5.047007e-05 5.615022e-05 5.816022e-05 4.929340e-05 #>  [9971,] 2.959806e-05 3.180468e-05 3.254256e-05 3.214447e-05 3.169909e-05 #>  [9972,] 4.046826e-05 3.275288e-05 3.976754e-05 3.480630e-05 3.857361e-05 #>  [9973,] 2.506264e-05 2.344207e-05 2.697548e-05 2.924700e-05 2.822729e-05 #>  [9974,] 2.646984e-05 2.659785e-05 2.851672e-05 3.244648e-05 3.008114e-05 #>  [9975,] 2.845608e-05 2.711298e-05 2.937449e-05 3.208614e-05 3.964868e-05 #>  [9976,] 2.910947e-05 2.998927e-05 3.293959e-05 3.606739e-05 3.512980e-05 #>  [9977,] 3.375898e-05 2.957579e-05 3.567754e-05 3.665318e-05 3.353511e-05 #>  [9978,] 4.116487e-05 4.780058e-05 5.427841e-05 5.098981e-05 5.452528e-05 #>  [9979,] 2.887246e-05 2.610554e-05 2.823757e-05 3.300160e-05 3.472097e-05 #>  [9980,] 3.194823e-05 3.082682e-05 3.500291e-05 3.602084e-05 3.334087e-05 #>  [9981,] 3.021825e-05 4.211329e-05 5.813439e-05 4.351546e-05 4.439745e-05 #>  [9982,] 2.287831e-05 2.159810e-05 2.386264e-05 2.325028e-05 2.251872e-05 #>  [9983,] 4.459242e-05 5.225224e-05 7.291486e-05 6.779866e-05 9.180498e-05 #>  [9984,] 1.455651e-04 1.047481e-04 4.025896e-05 4.240498e-05 3.240019e-05 #>  [9985,] 1.310991e-04 1.069730e-04 4.161635e-05 3.863727e-05 3.184581e-05 #>  [9986,] 2.761848e-05 2.532630e-05 2.608195e-05 2.996870e-05 3.000023e-05 #>  [9987,] 3.059190e-05 2.851113e-05 3.093690e-05 3.372428e-05 3.198536e-05 #>  [9988,] 2.195341e-05 2.123745e-05 2.238795e-05 2.266592e-05 2.254899e-05 #>  [9989,] 3.029795e-05 2.802853e-05 2.986771e-05 2.971703e-05 2.741251e-05 #>  [9990,] 4.862571e-05 5.117739e-05 5.915272e-05 6.339681e-05 5.677074e-05 #>  [9991,] 2.696655e-05 2.875946e-05 2.986155e-05 3.263363e-05 3.324785e-05 #>  [9992,] 2.567427e-05 2.822643e-05 2.874853e-05 3.042612e-05 2.982952e-05 #>  [9993,] 2.496943e-05 2.572704e-05 2.838171e-05 3.023996e-05 3.018429e-05 #>  [9994,] 2.651459e-05 2.282497e-05 2.392128e-05 2.513052e-05 2.333942e-05 #>  [9995,] 2.808269e-05 3.013743e-05 2.743951e-05 2.651263e-05 2.543924e-05 #>  [9996,] 2.707394e-05 2.477283e-05 2.341239e-05 2.917865e-05 2.933766e-05 #>  [9997,] 2.471965e-05 2.606156e-05 2.426964e-05 2.502850e-05 2.516267e-05 #>  [9998,] 3.741246e-04 4.428284e-04 3.034696e-04 2.713033e-04 2.738946e-04 #>  [9999,] 2.980044e-05 3.426495e-05 3.927571e-05 3.359884e-05 3.504534e-05 #> [10000,] 7.058898e-05 9.284908e-05 5.398838e-05 4.847188e-05 4.881070e-05 #> [10001,] 4.590522e-05 4.926159e-05 4.290855e-05 4.298290e-05 4.584061e-05 #> [10002,] 1.832255e-04 1.330296e-04 1.414684e-04 2.726174e-04 3.726108e-04 #> [10003,] 2.398743e-05 2.212633e-05 2.558904e-05 2.609855e-05 2.395048e-05 #> [10004,] 2.587841e-05 2.550534e-05 2.425632e-05 2.839978e-05 3.001779e-05 #> [10005,] 3.302255e-05 3.331408e-05 3.389249e-05 4.274634e-05 4.614920e-05 #> [10006,] 3.268561e-05 2.778526e-05 3.407378e-05 3.573694e-05 3.194267e-05 #> [10007,] 1.245582e-04 1.042317e-04 6.320593e-05 5.530368e-05 5.326633e-05 #> [10008,] 4.454889e-05 5.537037e-05 4.395980e-05 4.047858e-05 4.215619e-05 #> [10009,] 2.494084e-05 2.550648e-05 2.191854e-05 2.488628e-05 2.438227e-05 #> [10010,] 3.041180e-05 2.924167e-05 3.299451e-05 4.127983e-05 3.623118e-05 #> [10011,] 2.932471e-05 3.185565e-05 3.589139e-05 3.489886e-05 3.323729e-05 #> [10012,] 2.913641e-05 3.029167e-05 3.314155e-05 3.630969e-05 3.374229e-05 #> [10013,] 5.405320e-05 4.460517e-05 4.353105e-05 3.589520e-05 3.477597e-05 #> [10014,] 7.557674e-05 8.132629e-05 2.040037e-04 2.003716e-04 1.554160e-04 #> [10015,] 2.717000e-05 2.542046e-05 2.364761e-05 2.651547e-05 2.504717e-05 #> [10016,] 2.515003e-05 2.474562e-05 2.404187e-05 2.389387e-05 2.489953e-05 #> [10017,] 3.064471e-05 3.088910e-05 3.212074e-05 3.370375e-05 3.171615e-05 #> [10018,] 2.489401e-05 2.731446e-05 3.242065e-05 3.273694e-05 3.155925e-05 #> [10019,] 3.023300e-05 2.792796e-05 2.925468e-05 3.136514e-05 3.050393e-05 #> [10020,] 4.537654e-05 4.642348e-05 5.251065e-05 5.040232e-05 5.289473e-05 #> [10021,] 2.805343e-05 2.628109e-05 3.007760e-05 3.200038e-05 3.085047e-05 #> [10022,] 2.746161e-05 2.951757e-05 3.664429e-05 3.609549e-05 3.296811e-05 #> [10023,] 2.746012e-05 2.701559e-05 2.810440e-05 2.960148e-05 2.801368e-05 #> [10024,] 2.589873e-05 2.867307e-05 3.294223e-05 3.390704e-05 3.222224e-05 #> [10025,] 2.683480e-05 2.887662e-05 3.455304e-05 2.886422e-05 2.987948e-05 #> [10026,] 2.710626e-05 2.839133e-05 3.328084e-05 3.235912e-05 3.201533e-05 #> [10027,] 4.102839e-05 3.759990e-05 4.653144e-05 1.066771e-04 1.957107e-04 #> [10028,] 4.308776e-05 5.603217e-05 1.112972e-04 1.331396e-04 1.704161e-04 #> [10029,] 2.858026e-05 2.665613e-05 3.035143e-05 3.148140e-05 3.106928e-05 #> [10030,] 2.793767e-05 2.946076e-05 3.505792e-05 2.973078e-05 3.035118e-05 #> [10031,] 2.849770e-05 2.958686e-05 3.262453e-05 3.321825e-05 3.006773e-05 #> [10032,] 3.353324e-05 3.177120e-05 4.299598e-05 5.837050e-05 7.468934e-05 #> [10033,] 2.761749e-05 3.660290e-05 4.524638e-05 3.492507e-05 3.266725e-05 #> [10034,] 3.938829e-05 3.794746e-05 3.349368e-05 3.511624e-05 3.886224e-05 #> [10035,] 3.799795e-04 3.315045e-04 1.574967e-04 1.294935e-04 1.541978e-04 #> [10036,] 3.032887e-05 2.829740e-05 2.811355e-05 3.185438e-05 3.268596e-05 #> [10037,] 6.444311e-05 7.817370e-05 6.736525e-05 7.041260e-05 5.825403e-05 #> [10038,] 2.891798e-05 2.747596e-05 3.067044e-05 3.978897e-05 5.999527e-05 #> [10039,] 1.127935e-04 1.270918e-04 1.641407e-04 1.293694e-04 1.249190e-04 #> [10040,] 4.422983e-05 4.540968e-05 4.861555e-05 4.758767e-05 8.027045e-05 #> [10041,] 2.941005e-05 2.983225e-05 3.709567e-05 3.223562e-05 3.694270e-05 #> [10042,] 4.906824e-05 3.747419e-05 4.124609e-05 4.397537e-05 4.071434e-05 #> [10043,] 4.489196e-05 9.107978e-05 4.521966e-05 3.653181e-05 5.845895e-05 #> [10044,] 3.085640e-05 2.708104e-05 2.795006e-05 2.937467e-05 2.951645e-05 #> [10045,] 2.806531e-05 2.761690e-05 3.179383e-05 3.210334e-05 3.390813e-05 #> [10046,] 5.458033e-05 3.760871e-05 6.130243e-05 6.989944e-05 6.616327e-05 #> [10047,] 2.949434e-05 2.667170e-05 3.060646e-05 3.331897e-05 3.111989e-05 #> [10048,] 3.021233e-05 2.538181e-05 3.186253e-05 3.820584e-05 3.407166e-05 #> [10049,] 3.404532e-05 3.076311e-05 4.108676e-05 4.245756e-05 3.947089e-05 #> [10050,] 4.131263e-05 4.772958e-05 6.404058e-05 4.498584e-05 4.354098e-05 #> [10051,] 3.229583e-05 2.422175e-05 2.440048e-05 2.340741e-05 3.161005e-05 #> [10052,] 6.247549e-05 1.088492e-04 7.607403e-05 6.624592e-05 5.483478e-05 #> [10053,] 6.637601e-05 1.046999e-04 5.765536e-05 5.377482e-05 6.519011e-05 #> [10054,] 4.210488e-05 5.147365e-05 4.496921e-05 4.522251e-05 4.867337e-05 #> [10055,] 3.318295e-05 3.070848e-05 3.325672e-05 3.609575e-05 3.640416e-05 #> [10056,] 3.190279e-05 2.942403e-05 3.723699e-05 3.807540e-05 3.465238e-05 #> [10057,] 2.559362e-05 2.339464e-05 2.670185e-05 2.825745e-05 2.645024e-05 #> [10058,] 3.393890e-05 4.055331e-05 6.808603e-05 4.545058e-05 4.412883e-05 #> [10059,] 3.092991e-05 2.730018e-05 2.964119e-05 3.552132e-05 3.507507e-05 #> [10060,] 2.755025e-05 2.136845e-05 2.257808e-05 2.759809e-05 2.185223e-05 #> [10061,] 2.995159e-05 2.554189e-05 2.962286e-05 3.107574e-05 2.685455e-05 #> [10062,] 4.883638e-05 3.868397e-05 4.452460e-05 4.359575e-05 4.643704e-05 #> [10063,] 2.723473e-05 2.565741e-05 2.694411e-05 3.045621e-05 3.052642e-05 #> [10064,] 7.059763e-05 8.810211e-05 8.099098e-05 8.268846e-05 7.759099e-05 #> [10065,] 2.610323e-05 2.828976e-05 3.204568e-05 3.369875e-05 2.959563e-05 #> [10066,] 1.136361e-04 8.904293e-05 1.491037e-04 9.704457e-05 1.126203e-04 #> [10067,] 6.064028e-05 5.601020e-05 5.275707e-05 4.719419e-05 4.834478e-05 #> [10068,] 4.049631e-05 4.963690e-05 4.855511e-05 4.875488e-05 5.402774e-05 #> [10069,] 4.660491e-05 3.722244e-05 4.302974e-05 4.695558e-05 4.742668e-05 #> [10070,] 3.255538e-05 2.875964e-05 3.212665e-05 3.832434e-05 3.744001e-05 #> [10071,] 6.370194e-05 6.644159e-05 5.499041e-05 5.223657e-05 4.974610e-05 #> [10072,] 2.840159e-05 2.874857e-05 3.415278e-05 3.577169e-05 3.372425e-05 #> [10073,] 4.711442e-05 4.157235e-05 4.257894e-05 5.533049e-05 7.276354e-05 #> [10074,] 2.742112e-05 2.749025e-05 3.052334e-05 3.031599e-05 3.007971e-05 #> [10075,] 2.717959e-05 2.527057e-05 2.599675e-05 2.710024e-05 2.653902e-05 #> [10076,] 2.638699e-05 2.532569e-05 3.090805e-05 3.416231e-05 3.217497e-05 #> [10077,] 2.983868e-05 2.879919e-05 3.414689e-05 3.665340e-05 3.584235e-05 #> [10078,] 3.247809e-05 2.946030e-05 2.995420e-05 3.551369e-05 3.520426e-05 #> [10079,] 2.628844e-05 2.639445e-05 3.004233e-05 2.954871e-05 2.884322e-05 #> [10080,] 2.847051e-04 4.568891e-04 7.794516e-04 8.469368e-04 5.374621e-04 #> [10081,] 2.917672e-05 2.888994e-05 3.264412e-05 3.595960e-05 3.905255e-05 #> [10082,] 2.768143e-05 2.629780e-05 3.138935e-05 3.612982e-05 3.471868e-05 #> [10083,] 3.012530e-05 2.831284e-05 2.572866e-05 2.931243e-05 2.653385e-05 #> [10084,] 3.313262e-05 3.137782e-05 3.697310e-05 4.040111e-05 3.920864e-05 #> [10085,] 3.073458e-05 2.696282e-05 3.276193e-05 3.338698e-05 3.212758e-05 #> [10086,] 2.964815e-05 2.546161e-05 2.519624e-05 3.156608e-05 2.615926e-05 #> [10087,] 3.117226e-05 2.993292e-05 3.191349e-05 3.427149e-05 3.405318e-05 #> [10088,] 3.834203e-05 3.142068e-05 3.076375e-05 3.551955e-05 2.976114e-05 #> [10089,] 8.878588e-05 9.388817e-05 1.404752e-04 1.345607e-04 9.061237e-05 #> [10090,] 3.484134e-05 3.056129e-05 3.637284e-05 3.869176e-05 3.310542e-05 #> [10091,] 4.102287e-05 5.473340e-05 5.572857e-05 5.122073e-05 3.953997e-05 #> [10092,] 2.307599e-05 2.268060e-05 2.303818e-05 2.358097e-05 2.375460e-05 #> [10093,] 2.620693e-05 2.563350e-05 2.751460e-05 2.856602e-05 2.568633e-05 #> [10094,] 3.209057e-05 2.492400e-05 2.749764e-05 2.678766e-05 2.475632e-05 #> [10095,] 2.689257e-05 2.689487e-05 2.542975e-05 2.918421e-05 3.082439e-05 #> [10096,] 3.448073e-05 2.874570e-05 3.070768e-05 3.296326e-05 3.444474e-05 #> [10097,] 3.705392e-05 3.381431e-05 4.295066e-05 4.494462e-05 4.216664e-05 #> [10098,] 3.371532e-05 3.302816e-05 4.304412e-05 3.848646e-05 3.451621e-05 #> [10099,] 3.054118e-05 2.567294e-05 3.118456e-05 2.963999e-05 2.773233e-05 #> [10100,] 3.357131e-05 3.191157e-05 3.422243e-05 3.469213e-05 3.237597e-05 #> [10101,] 3.570711e-05 3.975240e-05 5.598129e-05 5.023616e-05 3.974100e-05 #> [10102,] 3.235621e-05 3.038616e-05 3.758041e-05 3.834463e-05 3.244430e-05 #> [10103,] 2.782487e-05 2.679672e-05 2.783876e-05 2.984249e-05 2.997535e-05 #> [10104,] 2.206892e-03 2.030867e-03 2.338102e-03 2.078396e-03 1.907880e-03 #> [10105,] 2.342687e-05 2.341953e-05 2.407546e-05 2.570362e-05 2.598546e-05 #> [10106,] 5.086024e-05 4.126363e-05 4.190875e-05 5.129865e-05 5.682629e-05 #> [10107,] 2.846881e-05 2.645165e-05 2.936094e-05 2.908001e-05 3.032915e-05 #> [10108,] 2.749703e-05 2.551749e-05 2.714916e-05 3.082758e-05 3.396290e-05 #> [10109,] 4.580777e-05 4.725256e-05 4.451328e-05 4.328263e-05 4.193392e-05 #> [10110,] 3.787928e-05 3.997043e-05 4.697219e-05 4.307077e-05 4.364477e-05 #> [10111,] 3.004452e-05 3.146991e-05 3.783164e-05 4.122625e-05 3.659904e-05 #> [10112,] 2.755816e-05 2.566885e-05 2.944971e-05 3.124597e-05 2.878621e-05 #> [10113,] 2.799870e-05 2.304784e-05 2.277897e-05 2.690081e-05 2.382820e-05 #> [10114,] 3.274696e-05 3.515247e-05 4.263825e-05 3.643791e-05 3.413320e-05 #> [10115,] 3.024408e-05 3.129742e-05 2.942950e-05 2.968742e-05 2.976351e-05 #> [10116,] 3.520985e-05 4.663382e-05 7.108601e-05 6.275735e-05 5.612080e-05 #> [10117,] 3.381533e-04 3.976259e-04 2.443269e-04 2.029666e-04 1.651644e-04 #> [10118,] 2.847509e-05 2.468031e-05 2.863372e-05 3.614144e-05 3.732347e-05 #> [10119,] 4.649457e-05 4.436422e-05 4.012688e-05 4.141924e-05 4.187899e-05 #> [10120,] 2.992955e-05 3.440161e-05 4.606328e-05 3.404522e-05 3.321275e-05 #> [10121,] 3.033304e-05 3.847825e-05 4.657297e-05 4.141099e-05 3.377916e-05 #> [10122,] 3.430916e-05 4.312066e-05 7.576572e-05 5.672210e-05 4.228597e-05 #> [10123,] 2.710249e-05 2.317462e-05 2.515324e-05 2.610266e-05 2.584826e-05 #> [10124,] 2.959912e-05 2.593511e-05 2.736011e-05 2.732873e-05 2.722721e-05 #> [10125,] 7.519512e-05 8.635108e-05 1.219626e-04 1.573645e-04 1.770844e-04 #> [10126,] 4.097429e-05 4.150210e-05 7.367008e-05 6.049453e-05 5.511804e-05 #> [10127,] 9.126777e-05 7.371343e-05 9.407559e-05 1.195293e-04 1.622427e-04 #> [10128,] 3.427324e-05 3.403175e-05 3.848087e-05 3.701661e-05 3.360279e-05 #> [10129,] 7.524753e-05 6.503491e-05 1.285564e-04 9.940545e-05 1.163127e-04 #> [10130,] 4.593978e-05 5.989999e-05 4.538525e-05 4.487197e-05 5.035630e-05 #> [10131,] 2.714422e-05 2.702543e-05 2.823618e-05 2.944111e-05 2.853589e-05 #> [10132,] 2.719053e-05 2.898506e-05 2.965654e-05 2.861431e-05 2.906905e-05 #> [10133,] 2.607829e-05 2.477980e-05 2.864451e-05 3.328650e-05 3.305640e-05 #> [10134,] 4.448620e-05 4.402846e-05 4.098036e-05 4.496765e-05 4.170560e-05 #> [10135,] 2.208443e-05 2.141677e-05 2.242255e-05 2.126221e-05 2.269108e-05 #> [10136,] 2.613765e-05 2.659938e-05 2.909372e-05 2.967587e-05 2.718458e-05 #> [10137,] 1.138411e-04 5.491913e-05 7.207897e-05 7.691933e-05 6.465744e-05 #> [10138,] 2.779871e-05 2.803980e-05 3.095029e-05 3.284693e-05 3.259021e-05 #> [10139,] 1.762516e-03 1.534370e-03 7.896691e-04 6.525132e-04 4.822698e-04 #> [10140,] 2.989129e-05 2.832102e-05 3.299553e-05 3.076573e-05 3.485255e-05 #> [10141,] 2.717400e-05 2.814035e-05 2.723602e-05 3.025274e-05 2.970882e-05 #> [10142,] 1.152686e-04 1.078129e-04 1.553655e-04 1.161456e-04 9.423316e-05 #> [10143,] 2.919426e-05 3.472178e-05 5.562199e-05 3.776224e-05 3.751091e-05 #> [10144,] 3.128588e-05 2.854416e-05 3.125517e-05 3.503008e-05 3.155810e-05 #> [10145,] 3.054728e-05 2.808382e-05 3.078001e-05 3.182935e-05 3.088838e-05 #> [10146,] 3.271331e-05 3.258172e-05 3.624459e-05 3.636006e-05 3.789116e-05 #> [10147,] 2.597578e-05 2.537792e-05 3.183144e-05 3.122397e-05 3.104145e-05 #> [10148,] 2.696725e-05 2.459084e-05 3.040835e-05 3.570397e-05 3.475452e-05 #> [10149,] 2.779835e-05 2.761740e-05 2.747047e-05 2.895513e-05 2.888805e-05 #> [10150,] 4.786552e-05 5.009743e-05 4.628141e-05 4.780326e-05 4.964035e-05 #> [10151,] 3.520253e-05 3.342483e-05 3.667280e-05 3.774983e-05 3.760100e-05 #> [10152,] 3.320972e-05 3.184401e-05 4.279626e-05 4.133039e-05 4.207620e-05 #> [10153,] 2.974933e-05 2.924380e-05 3.297897e-05 3.473437e-05 3.527628e-05 #> [10154,] 4.170018e-05 4.256310e-05 5.004846e-05 4.652181e-05 4.469022e-05 #> [10155,] 2.750847e-05 2.422513e-05 2.358913e-05 2.921908e-05 3.240691e-05 #> [10156,] 7.565894e-05 5.617450e-05 9.426791e-05 9.187788e-05 9.625351e-05 #> [10157,] 3.612740e-05 2.970438e-05 3.103128e-05 3.375116e-05 3.981988e-05 #> [10158,] 3.314361e-05 3.495295e-05 6.460014e-05 4.872905e-05 5.472748e-05 #> [10159,] 2.737948e-05 2.619668e-05 2.647361e-05 2.697784e-05 2.690838e-05 #> [10160,] 2.478917e-05 2.437460e-05 2.526190e-05 2.543056e-05 2.548126e-05 #> [10161,] 3.609056e-05 3.212262e-05 3.478863e-05 3.917932e-05 3.441010e-05 #> [10162,] 2.615377e-05 2.465305e-05 3.072067e-05 3.535204e-05 3.720658e-05 #> [10163,] 1.359455e-04 8.454558e-05 6.438525e-05 7.063917e-05 5.239756e-05 #> [10164,] 9.168083e-05 6.153408e-05 1.184862e-04 9.736600e-05 9.037540e-05 #> [10165,] 2.846750e-05 2.788647e-05 3.105650e-05 3.405065e-05 3.056470e-05 #> [10166,] 4.589783e-05 5.467366e-05 6.737972e-05 7.554516e-05 5.219199e-05 #> [10167,] 3.152730e-05 3.320168e-05 2.756440e-05 2.669713e-05 2.587286e-05 #> [10168,] 1.372328e-04 7.158042e-05 9.981652e-05 1.052176e-04 9.065217e-05 #> [10169,] 2.634341e-05 2.329237e-05 2.615456e-05 2.886750e-05 3.100707e-05 #> [10170,] 2.563329e-05 2.765827e-05 3.597272e-05 2.949169e-05 3.159856e-05 #> [10171,] 7.960993e-05 6.050547e-05 7.464505e-05 7.012852e-05 5.166712e-05 #> [10172,] 2.680661e-05 3.164590e-05 3.243253e-05 3.299436e-05 3.200891e-05 #> [10173,] 2.882265e-05 3.393307e-05 3.567316e-05 3.466327e-05 3.421311e-05 #> [10174,] 3.104689e-05 3.695998e-05 4.499155e-05 3.931166e-05 3.438628e-05 #> [10175,] 2.486759e-05 2.420736e-05 2.910238e-05 3.121016e-05 3.461305e-05 #> [10176,] 3.707572e-05 5.607881e-05 9.109277e-05 7.397777e-05 7.199115e-05 #> [10177,] 3.013287e-05 2.980787e-05 4.270174e-05 4.298537e-05 4.690657e-05 #> [10178,] 4.727399e-05 3.021670e-05 2.655832e-05 2.729137e-05 2.648956e-05 #> [10179,] 8.822044e-05 7.954282e-05 1.385127e-04 1.592278e-04 1.869134e-04 #> [10180,] 2.736649e-05 3.126023e-05 3.228953e-05 3.234030e-05 3.133091e-05 #> [10181,] 2.488340e-05 2.505856e-05 2.631333e-05 2.668265e-05 2.868949e-05 #> [10182,] 3.171030e-05 3.242105e-05 3.517024e-05 3.127184e-05 3.262301e-05 #> [10183,] 2.843378e-05 2.948007e-05 3.669580e-05 4.038062e-05 4.256819e-05 #> [10184,] 3.045672e-05 2.992193e-05 3.413562e-05 3.415581e-05 3.582347e-05 #> [10185,] 3.993784e-05 4.046635e-05 8.514047e-05 7.617145e-05 8.205197e-05 #> [10186,] 3.250700e-05 3.683750e-05 5.058448e-05 4.340879e-05 3.947101e-05 #> [10187,] 3.033896e-04 1.412690e-04 8.971909e-05 9.377771e-05 9.482391e-05 #> [10188,] 1.089529e-03 1.084423e-03 7.579715e-04 8.220009e-04 5.739709e-04 #> [10189,] 1.671315e-04 1.199365e-04 4.325721e-05 4.537968e-05 5.732262e-05 #> [10190,] 3.532397e-05 3.478360e-05 3.414231e-05 3.504726e-05 3.853506e-05 #> [10191,] 4.908283e-05 7.233457e-05 4.193871e-05 3.491389e-05 4.811676e-05 #> [10192,] 2.847862e-05 2.966258e-05 4.199853e-05 3.705690e-05 4.006336e-05 #> [10193,] 2.630519e-05 3.091504e-05 2.602254e-05 2.803227e-05 2.784449e-05 #> [10194,] 3.419154e-05 3.613785e-05 3.695014e-05 3.527672e-05 3.501055e-05 #> [10195,] 2.592385e-05 2.466090e-05 2.916350e-05 3.882056e-05 4.030487e-05 #> [10196,] 9.193099e-05 7.928480e-05 5.882377e-05 6.676961e-05 7.220523e-05 #> [10197,] 2.248750e-05 2.094762e-05 2.378508e-05 2.295422e-05 2.398797e-05 #> [10198,] 5.041978e-05 6.080278e-05 8.234983e-05 9.024949e-05 8.417126e-05 #> [10199,] 2.962732e-05 3.047328e-05 3.136651e-05 3.149643e-05 3.050093e-05 #> [10200,] 3.046560e-05 3.394410e-05 3.942428e-05 3.517991e-05 4.052392e-05 #> [10201,] 3.817344e-04 2.718239e-04 2.175172e-04 2.493981e-04 2.994987e-04 #> [10202,] 2.232563e-04 1.463748e-04 1.072512e-04 1.410917e-04 2.586029e-04 #> [10203,] 2.402308e-05 2.177130e-05 2.427582e-05 2.388003e-05 2.343454e-05 #> [10204,] 3.160268e-05 2.649302e-05 2.731584e-05 2.894746e-05 2.902772e-05 #> [10205,] 2.616174e-04 3.528325e-04 3.240246e-04 3.432730e-04 3.294730e-04 #> [10206,] 4.281338e-05 4.765213e-05 4.555591e-05 5.262528e-05 7.591350e-05 #> [10207,] 2.505470e-05 2.746787e-05 2.389473e-05 2.465065e-05 2.563353e-05 #> [10208,] 2.632942e-05 2.487536e-05 2.393384e-05 2.954580e-05 2.903106e-05 #> [10209,] 2.705526e-05 2.584014e-05 2.515127e-05 3.131689e-05 3.172015e-05 #> [10210,] 2.840690e-05 2.709859e-05 3.436758e-05 3.681961e-05 3.295548e-05 #> [10211,] 2.720398e-05 2.487411e-05 2.800143e-05 2.833413e-05 2.573566e-05 #> [10212,] 3.662415e-05 4.421451e-05 4.263521e-05 4.522423e-05 5.528328e-05 #> [10213,] 3.136982e-05 4.022432e-05 5.137582e-05 3.711313e-05 4.283418e-05 #> [10214,] 3.814159e-05 3.467655e-05 3.716860e-05 4.197447e-05 3.951393e-05 #> [10215,] 5.161728e-05 4.818897e-05 3.425169e-05 3.176263e-05 3.652942e-05 #> [10216,] 3.115702e-05 3.377269e-05 3.439016e-05 3.888918e-05 3.988425e-05 #> [10217,] 2.598102e-05 2.430226e-05 2.626338e-05 2.996585e-05 2.931318e-05 #> [10218,] 2.610090e-05 2.401697e-05 2.265411e-05 2.371015e-05 2.443639e-05 #> [10219,] 2.961885e-05 3.334472e-05 3.353690e-05 3.141848e-05 3.106904e-05 #> [10220,] 4.766723e-05 5.700687e-05 5.712260e-05 6.090547e-05 9.119389e-05 #> [10221,] 3.888327e-05 4.109832e-05 4.047620e-05 3.888758e-05 4.236636e-05 #> [10222,] 2.596219e-05 2.473868e-05 2.459612e-05 2.902762e-05 2.986261e-05 #> [10223,] 2.489744e-05 2.551203e-05 2.580561e-05 2.577096e-05 2.430204e-05 #> [10224,] 3.022964e-05 2.753996e-05 3.188284e-05 3.420566e-05 3.332669e-05 #> [10225,] 3.189233e-05 3.145896e-05 3.383565e-05 3.024314e-05 3.349527e-05 #> [10226,] 2.668409e-05 2.315981e-05 2.485315e-05 2.617247e-05 2.443398e-05 #> [10227,] 3.531444e-05 3.612084e-05 2.870201e-05 3.112899e-05 3.164062e-05 #> [10228,] 2.569727e-05 2.328481e-05 2.704566e-05 3.249625e-05 2.446562e-05 #> [10229,] 2.684381e-05 2.844998e-05 3.238894e-05 3.266388e-05 3.264118e-05 #> [10230,] 5.251066e-05 5.005406e-05 4.423479e-05 5.078286e-05 5.775751e-05 #> [10231,] 3.514321e-05 3.701857e-05 3.387985e-05 3.886074e-05 4.162186e-05 #> [10232,] 4.072764e-05 4.973806e-05 4.175945e-05 3.814233e-05 4.166252e-05 #> [10233,] 2.995122e-05 2.664657e-05 3.142838e-05 3.200400e-05 3.234077e-05 #> [10234,] 7.371111e-05 6.688275e-05 1.286052e-04 1.056565e-04 1.936410e-04 #> [10235,] 7.309325e-05 6.513432e-05 4.081707e-05 4.053291e-05 3.504222e-05 #> [10236,] 3.959639e-05 3.585246e-05 4.051932e-05 5.022150e-05 4.070254e-05 #> [10237,] 3.316944e-05 3.305834e-05 4.702334e-05 4.402327e-05 3.759414e-05 #> [10238,] 8.281979e-05 8.099828e-05 8.574337e-05 8.470075e-05 9.873583e-05 #> [10239,] 2.773843e-05 2.559623e-05 2.716473e-05 2.572100e-05 2.615316e-05 #> [10240,] 2.538628e-05 2.497406e-05 2.562581e-05 2.472474e-05 2.493753e-05 #> [10241,] 3.153908e-05 3.489402e-05 3.561654e-05 3.464014e-05 3.378710e-05 #> [10242,] 2.407767e-05 2.479818e-05 2.783828e-05 2.685547e-05 2.753920e-05 #> [10243,] 2.974356e-05 3.263931e-05 3.633832e-05 3.156641e-05 3.173332e-05 #> [10244,] 2.875637e-05 2.949839e-05 2.856666e-05 3.020095e-05 3.301722e-05 #> [10245,] 6.508378e-05 9.134704e-05 8.001637e-05 8.388701e-05 6.650727e-05 #> [10246,] 2.835388e-05 2.882468e-05 2.997725e-05 3.136280e-05 3.078181e-05 #> [10247,] 6.516470e-05 6.124904e-05 4.665807e-05 4.306176e-05 4.015064e-05 #> [10248,] 2.641934e-05 2.606493e-05 3.065434e-05 3.326138e-05 3.583134e-05 #> [10249,] 2.827091e-05 2.913574e-05 3.291271e-05 3.056999e-05 3.151053e-05 #> [10250,] 3.113236e-05 3.112476e-05 3.448344e-05 3.324723e-05 3.518655e-05 #> [10251,] 2.840999e-05 2.812524e-05 3.594762e-05 3.772744e-05 3.357720e-05 #> [10252,] 2.556302e-05 2.571196e-05 2.921860e-05 3.071835e-05 3.249465e-05 #> [10253,] 2.383562e-05 2.305316e-05 2.366824e-05 2.305380e-05 2.226571e-05 #> [10254,] 2.744484e-05 2.717600e-05 3.034761e-05 3.095842e-05 3.262692e-05 #> [10255,] 2.894778e-05 3.179633e-05 3.747566e-05 3.027253e-05 3.157889e-05 #> [10256,] 2.457270e-05 2.547237e-05 2.626563e-05 2.706782e-05 2.606279e-05 #> [10257,] 2.690486e-05 3.223457e-05 3.726914e-05 3.542558e-05 3.458399e-05 #> [10258,] 3.934242e-05 4.242930e-05 8.503607e-05 6.515769e-05 6.231842e-05 #> [10259,] 2.560312e-05 2.391295e-05 2.812428e-05 3.078175e-05 3.022889e-05 #> [10260,] 2.295047e-05 2.359604e-05 2.295388e-05 2.234415e-05 2.181997e-05 #> [10261,] 2.549512e-05 2.442837e-05 2.602937e-05 2.925729e-05 3.039495e-05 #> [10262,] 2.551424e-05 2.390592e-05 2.353224e-05 2.296216e-05 2.447834e-05 #> [10263,] 2.521388e-05 2.401971e-05 2.494781e-05 2.750661e-05 2.553555e-05 #> [10264,] 4.038638e-05 4.067784e-05 5.683388e-05 5.661494e-05 5.708624e-05 #> [10265,] 2.607501e-05 3.174331e-05 4.403813e-05 4.729732e-05 4.602365e-05 #> [10266,] 3.567847e-05 3.649922e-05 3.962449e-05 3.732509e-05 3.744627e-05 #> [10267,] 2.891464e-05 2.747565e-05 3.100050e-05 2.990229e-05 2.924108e-05 #> [10268,] 2.841203e-05 2.984681e-05 3.625603e-05 3.046364e-05 3.229575e-05 #> [10269,] 2.841833e-05 2.627155e-05 2.648320e-05 2.304871e-05 2.261238e-05 #> [10270,] 3.104906e-05 2.847973e-05 2.901107e-05 3.081458e-05 2.895222e-05 #> [10271,] 2.674089e-05 2.571333e-05 2.735698e-05 3.041825e-05 3.154328e-05 #> [10272,] 3.332695e-05 3.554245e-05 3.877972e-05 3.493669e-05 3.859401e-05 #> [10273,] 2.212710e-05 2.124334e-05 2.250372e-05 2.408844e-05 2.133224e-05 #> [10274,] 3.348709e-05 3.180967e-05 3.632233e-05 3.989817e-05 3.854060e-05 #> [10275,] 1.466165e-04 1.171617e-04 1.258680e-04 1.131027e-04 7.109660e-05 #> [10276,] 1.710425e-04 1.813861e-04 2.462599e-04 2.016997e-04 2.582691e-04 #> [10277,] 3.786335e-05 3.103627e-05 3.494630e-05 4.047717e-05 4.082113e-05 #> [10278,] 1.467270e-04 1.058701e-04 9.898151e-05 1.017604e-04 1.323748e-04 #> [10279,] 2.749429e-05 2.603400e-05 2.659256e-05 2.785764e-05 2.647890e-05 #> [10280,] 3.312337e-05 3.478698e-05 3.895509e-05 4.205194e-05 4.420857e-05 #> [10281,] 1.088202e-04 6.581786e-05 7.166386e-05 7.382169e-05 6.392756e-05 #> [10282,] 2.743064e-05 2.728894e-05 2.673734e-05 3.204138e-05 3.304939e-05 #> [10283,] 3.027624e-05 2.864019e-05 2.776286e-05 3.060501e-05 3.215249e-05 #> [10284,] 2.557572e-05 2.380855e-05 2.867851e-05 2.933985e-05 2.672521e-05 #> [10285,] 2.614853e-05 2.709579e-05 3.309742e-05 3.158514e-05 3.082174e-05 #> [10286,] 2.772933e-05 2.858028e-05 2.706542e-05 2.986557e-05 3.079273e-05 #> [10287,] 3.838041e-05 3.654437e-05 3.755711e-05 3.472644e-05 3.644172e-05 #> [10288,] 2.724588e-05 2.513812e-05 3.083337e-05 3.174367e-05 3.478097e-05 #> [10289,] 2.756865e-05 2.735023e-05 3.505312e-05 3.925639e-05 4.003811e-05 #> [10290,] 1.485740e-04 3.099307e-04 1.319408e-04 1.524752e-04 2.940843e-04 #> [10291,] 2.784608e-05 2.556168e-05 3.001343e-05 3.032614e-05 2.760935e-05 #> [10292,] 2.484982e-05 2.514528e-05 2.916596e-05 3.141491e-05 2.995783e-05 #> [10293,] 3.134288e-05 2.959269e-05 3.683844e-05 3.425294e-05 3.367185e-05 #> [10294,] 2.867762e-05 3.528059e-05 4.448587e-05 3.420758e-05 3.489248e-05 #> [10295,] 3.623250e-05 3.793324e-05 3.620768e-05 3.467948e-05 3.434662e-05 #> [10296,] 2.572292e-05 2.754449e-05 2.833229e-05 2.979094e-05 3.014211e-05 #> [10297,] 4.556596e-05 4.735706e-05 4.435523e-05 4.675495e-05 4.609272e-05 #> [10298,] 2.622082e-05 2.361355e-05 2.916697e-05 3.282404e-05 3.167282e-05 #> [10299,] 6.679586e-05 5.339580e-05 6.793649e-05 5.841629e-05 7.187650e-05 #> [10300,] 2.465645e-05 2.157950e-05 2.363679e-05 2.699391e-05 2.450780e-05 #> [10301,] 2.699512e-05 2.636329e-05 2.801251e-05 2.872757e-05 3.064435e-05 #> [10302,] 1.191139e-04 9.009899e-05 6.535241e-05 6.728396e-05 6.612259e-05 #> [10303,] 8.080008e-05 6.193652e-05 4.211933e-05 4.682436e-05 4.058066e-05 #> [10304,] 2.348957e-05 2.574195e-05 2.823497e-05 3.090932e-05 2.825568e-05 #> [10305,] 4.649311e-04 4.952568e-04 6.084129e-04 8.654265e-04 1.825905e-03 #> [10306,] 2.896682e-05 2.656797e-05 3.028626e-05 3.154046e-05 3.025689e-05 #> [10307,] 2.815078e-05 2.825555e-05 2.713937e-05 2.912675e-05 3.065034e-05 #> [10308,] 7.530610e-04 7.257574e-04 6.951565e-04 7.862915e-04 5.156760e-04 #> [10309,] 2.744434e-05 2.784528e-05 3.578299e-05 3.605741e-05 3.101383e-05 #> [10310,] 4.119333e-05 5.024264e-05 3.900010e-05 3.988092e-05 3.322082e-05 #> [10311,] 1.302183e-04 2.744432e-04 2.198331e-04 1.678545e-04 2.036115e-04 #> [10312,] 3.806217e-05 3.372087e-05 5.209890e-05 5.839382e-05 8.655810e-05 #> [10313,] 4.215741e-05 7.948468e-05 3.147084e-05 3.580254e-05 7.444471e-05 #> [10314,] 5.728250e-05 5.489765e-05 1.392630e-04 1.461406e-04 1.367526e-04 #> [10315,] 2.671329e-05 2.626518e-05 2.907089e-05 3.509675e-05 3.727987e-05 #> [10316,] 3.152579e-05 3.221294e-05 3.823704e-05 3.956654e-05 4.020886e-05 #> [10317,] 3.009957e-05 2.868164e-05 3.147283e-05 3.193629e-05 3.360794e-05 #> [10318,] 7.230176e-05 8.497597e-05 7.452905e-05 8.053903e-05 9.269339e-05 #> [10319,] 3.901713e-05 4.200066e-05 7.173461e-05 6.663258e-05 9.403318e-05 #> [10320,] 2.976974e-05 3.199033e-05 3.835490e-05 3.227577e-05 3.048490e-05 #> [10321,] 2.670306e-05 2.874488e-05 2.823829e-05 2.739981e-05 2.856724e-05 #> [10322,] 2.682285e-05 2.391115e-05 2.497459e-05 2.644771e-05 2.465035e-05 #> [10323,] 2.601184e-05 2.355819e-05 2.599398e-05 2.724373e-05 2.770039e-05 #> [10324,] 3.263223e-05 3.661139e-05 3.345730e-05 3.373481e-05 3.003676e-05 #> [10325,] 1.299638e-04 1.441851e-04 1.745350e-04 1.855262e-04 1.631347e-04 #> [10326,] 3.096454e-05 3.601462e-05 4.382122e-05 4.264245e-05 4.015115e-05 #> [10327,] 2.276091e-05 2.129592e-05 2.079500e-05 2.195828e-05 2.165093e-05 #> [10328,] 3.146083e-05 3.891862e-05 3.548641e-05 3.590141e-05 4.078028e-05 #> [10329,] 5.171931e-05 5.372478e-05 4.577450e-05 4.230389e-05 4.585755e-05 #> [10330,] 1.318515e-04 1.175578e-04 9.723441e-05 9.421139e-05 6.979296e-05 #> [10331,] 3.385518e-05 3.094948e-05 3.696041e-05 3.550373e-05 3.630306e-05 #> [10332,] 3.331112e-05 3.506824e-05 4.984276e-05 3.456933e-05 3.571714e-05 #> [10333,] 4.171546e-05 5.009841e-05 9.795120e-05 1.138685e-04 1.742267e-04 #> [10334,] 1.259418e-04 1.464653e-04 1.251058e-04 1.172155e-04 1.234423e-04 #> [10335,] 2.874274e-05 3.595073e-05 3.702003e-05 3.260590e-05 3.441881e-05 #> [10336,] 2.150377e-05 2.366437e-05 2.415047e-05 2.332169e-05 2.228907e-05 #> [10337,] 2.701807e-05 3.208614e-05 2.949518e-05 3.081852e-05 3.134239e-05 #> [10338,] 2.648933e-05 2.829139e-05 2.701800e-05 2.887538e-05 2.723748e-05 #> [10339,] 4.293627e-05 3.559321e-05 3.384916e-05 3.922556e-05 3.729675e-05 #> [10340,] 4.936114e-05 5.217796e-05 3.533889e-05 3.041819e-05 3.158066e-05 #> [10341,] 2.701978e-05 2.528856e-05 3.065147e-05 3.128696e-05 3.172263e-05 #> [10342,] 2.576900e-05 2.268376e-05 2.601370e-05 2.878834e-05 2.646340e-05 #> [10343,] 1.399120e-04 1.248793e-04 1.845724e-04 1.635974e-04 1.117044e-04 #> [10344,] 2.648164e-05 2.679623e-05 3.241658e-05 3.349310e-05 4.226910e-05 #> [10345,] 2.683837e-05 2.108357e-05 2.161268e-05 2.637076e-05 2.290086e-05 #> [10346,] 5.808830e-05 6.136461e-05 6.967088e-05 7.732472e-05 6.781198e-05 #> [10347,] 4.970618e-05 3.289653e-05 3.473728e-05 3.602506e-05 4.069526e-05 #> [10348,] 7.104084e-05 5.408515e-05 7.011735e-05 7.352504e-05 7.715515e-05 #> [10349,] 6.791763e-05 6.255425e-05 3.701588e-05 3.111082e-05 3.022184e-05 #> [10350,] 3.563151e-05 3.365538e-05 4.293526e-05 5.179965e-05 5.259774e-05 #> [10351,] 2.764642e-05 2.662098e-05 3.146468e-05 3.326057e-05 3.037246e-05 #> [10352,] 2.542368e-05 2.447877e-05 2.458766e-05 2.742183e-05 2.874997e-05 #> [10353,] 2.740612e-05 2.594599e-05 2.626998e-05 3.236425e-05 3.360529e-05 #> [10354,] 3.236006e-04 4.504897e-04 2.900607e-04 3.535064e-04 5.348633e-04 #> [10355,] 5.695615e-05 5.444326e-05 4.423495e-05 4.640035e-05 4.306354e-05 #> [10356,] 2.500527e-05 2.206215e-05 2.489260e-05 2.702134e-05 2.639124e-05 #> [10357,] 1.276670e-04 1.515063e-04 9.858687e-05 9.746550e-05 1.145426e-04 #> [10358,] 2.606101e-05 2.521970e-05 2.980888e-05 3.288530e-05 3.193912e-05 #> [10359,] 8.476110e-05 2.406566e-04 2.525487e-04 5.462573e-04 1.156056e-03 #> [10360,] 3.079643e-05 3.084412e-05 3.497374e-05 3.364333e-05 3.384698e-05 #> [10361,] 2.513853e-05 2.479219e-05 2.715619e-05 2.625539e-05 3.230482e-05 #> [10362,] 2.811316e-05 3.409497e-05 4.072621e-05 3.347785e-05 3.322269e-05 #> [10363,] 2.447387e-04 4.321383e-04 3.462925e-04 3.757598e-04 3.059597e-04 #> [10364,] 8.326201e-04 2.315417e-04 2.477477e-04 4.057215e-04 3.881288e-04 #> [10365,] 1.054712e-04 1.046851e-04 8.112251e-05 8.347089e-05 9.557960e-05 #> [10366,] 1.817642e-04 2.072820e-04 1.915378e-04 1.895535e-04 1.867296e-04 #> [10367,] 3.306446e-05 3.051150e-05 4.086991e-05 4.021140e-05 3.198325e-05 #> [10368,] 3.763132e-05 4.784028e-05 2.964440e-05 2.987084e-05 2.898600e-05 #> [10369,] 2.860920e-05 3.225128e-05 3.802988e-05 3.642145e-05 3.317710e-05 #> [10370,] 3.371353e-05 3.918339e-05 4.338192e-05 4.958647e-05 3.655640e-05 #> [10371,] 1.964323e-04 1.422079e-04 1.234171e-04 1.303728e-04 1.039388e-04 #> [10372,] 1.745231e-04 2.002907e-04 1.746234e-04 1.999728e-04 1.949771e-04 #> [10373,] 2.651326e-05 2.378037e-05 2.531696e-05 2.640445e-05 2.716356e-05 #> [10374,] 2.722294e-05 2.605199e-05 3.668041e-05 3.752977e-05 3.354560e-05 #> [10375,] 2.834811e-05 2.713439e-05 3.044655e-05 3.529258e-05 4.435803e-05 #> [10376,] 2.671841e-05 2.548913e-05 2.957745e-05 2.946028e-05 2.932574e-05 #> [10377,] 3.178691e-05 3.153648e-05 3.531611e-05 3.319043e-05 2.993471e-05 #> [10378,] 2.809861e-05 2.892294e-05 2.905177e-05 2.859784e-05 2.644489e-05 #> [10379,] 6.800894e-05 5.932078e-05 8.651166e-05 7.437191e-05 4.988999e-05 #> [10380,] 2.615684e-05 2.619689e-05 2.499459e-05 2.440838e-05 2.572256e-05 #> [10381,] 2.912271e-05 3.118697e-05 3.646668e-05 3.628792e-05 3.330465e-05 #> [10382,] 2.683430e-04 1.614423e-04 1.291172e-04 1.212019e-04 1.101772e-04 #> [10383,] 2.429827e-05 2.337560e-05 2.870717e-05 3.176720e-05 3.088626e-05 #> [10384,] 6.747089e-05 7.837444e-05 9.221401e-05 9.626866e-05 1.067989e-04 #> [10385,] 2.613338e-05 2.641318e-05 2.526104e-05 2.453845e-05 2.526732e-05 #> [10386,] 2.166338e-04 1.348390e-04 9.276557e-05 8.047528e-05 4.717991e-05 #> [10387,] 8.289714e-05 5.711722e-05 7.617313e-05 1.059717e-04 7.428994e-05 #> [10388,] 1.061738e-04 6.205078e-05 3.889364e-05 6.950620e-05 8.441299e-05 #> [10389,] 2.882169e-05 2.651775e-05 2.887286e-05 2.819237e-05 2.643273e-05 #> [10390,] 4.477674e-05 4.655931e-05 9.428741e-05 8.224218e-05 7.177093e-05 #> [10391,] 2.691376e-05 2.592910e-05 2.521496e-05 2.811712e-05 2.499106e-05 #> [10392,] 2.626403e-05 2.867170e-05 3.061713e-05 2.937479e-05 3.057176e-05 #> [10393,] 7.658143e-05 7.442838e-05 1.274584e-04 1.063418e-04 8.511019e-05 #> [10394,] 2.471080e-05 2.519693e-05 2.429629e-05 2.293700e-05 2.409421e-05 #> [10395,] 1.380979e-04 2.765614e-04 2.623456e-04 2.061671e-04 1.229311e-04 #> [10396,] 2.452373e-05 2.742749e-05 2.773093e-05 2.663026e-05 2.665005e-05 #> [10397,] 9.218032e-05 1.745843e-04 9.120036e-05 5.910388e-05 8.369323e-05 #> [10398,] 2.684118e-05 2.945398e-05 2.326390e-05 2.510258e-05 2.472833e-05 #> [10399,] 2.658350e-05 2.646071e-05 2.572469e-05 2.667348e-05 2.573283e-05 #> [10400,] 4.857299e-05 5.358136e-05 4.552981e-05 4.980878e-05 4.665243e-05 #> [10401,] 5.015108e-05 5.641237e-05 1.137234e-04 1.246630e-04 1.229088e-04 #> [10402,] 3.481503e-05 4.103548e-05 6.784633e-05 5.598755e-05 5.067887e-05 #> [10403,] 3.192659e-05 3.184395e-05 3.193472e-05 3.227496e-05 3.089463e-05 #> [10404,] 2.906093e-05 2.967930e-05 3.403738e-05 3.201647e-05 3.305625e-05 #> [10405,] 2.773613e-05 3.112343e-05 3.886233e-05 2.916399e-05 3.046441e-05 #> [10406,] 6.540151e-05 1.316376e-04 7.906592e-05 5.462675e-05 5.405364e-05 #> [10407,] 3.625887e-05 3.392494e-05 3.989724e-05 3.642793e-05 3.151080e-05 #> [10408,] 3.071988e-05 2.815695e-05 3.140806e-05 3.170381e-05 3.086908e-05 #> [10409,] 3.014772e-05 3.469012e-05 3.696919e-05 3.332698e-05 3.196164e-05 #> [10410,] 2.406807e-05 2.467216e-05 2.417412e-05 2.416125e-05 2.377423e-05 #> [10411,] 2.948895e-05 3.035530e-05 3.349586e-05 3.296497e-05 3.412640e-05 #> [10412,] 2.726013e-05 3.289705e-05 4.495261e-05 4.430156e-05 3.578728e-05 #> [10413,] 2.223057e-05 2.310744e-05 2.338909e-05 2.248862e-05 2.037773e-05 #> [10414,] 2.579076e-05 2.703401e-05 2.914969e-05 2.837795e-05 3.102156e-05 #> [10415,] 2.572419e-05 2.447242e-05 2.664896e-05 2.962259e-05 2.902117e-05 #> [10416,] 3.170946e-05 2.881586e-05 3.411571e-05 3.008608e-05 3.095371e-05 #> [10417,] 1.152193e-04 1.087043e-04 1.360660e-04 1.427625e-04 1.346762e-04 #> [10418,] 2.778799e-05 2.655427e-05 3.069527e-05 3.255814e-05 3.747482e-05 #> [10419,] 2.503247e-05 2.282707e-05 2.194047e-05 2.451888e-05 2.301099e-05 #> [10420,] 3.954290e-05 4.056637e-05 3.007500e-05 2.967864e-05 3.136647e-05 #> [10421,] 4.391494e-05 5.049244e-05 6.326485e-05 4.457806e-05 3.709840e-05 #> [10422,] 2.971944e-05 3.142466e-05 3.369384e-05 3.526818e-05 3.576392e-05 #> [10423,] 8.065785e-05 3.454635e-05 4.768858e-05 4.524732e-05 4.117551e-05 #> [10424,] 1.254796e-04 1.728947e-04 1.441777e-04 1.608412e-04 1.438192e-04 #> [10425,] 2.917056e-05 3.218749e-05 2.918282e-05 2.981874e-05 3.167952e-05 #> [10426,] 2.751482e-05 2.695979e-05 2.740769e-05 3.157033e-05 3.367744e-05 #> [10427,] 2.279325e-04 3.354484e-04 4.515126e-04 4.496560e-04 3.428245e-04 #> [10428,] 2.882921e-05 2.945610e-05 3.108727e-05 3.235445e-05 3.108888e-05 #> [10429,] 3.091291e-05 2.826675e-05 3.156879e-05 3.394908e-05 3.224541e-05 #> [10430,] 2.194001e-04 1.475391e-04 2.983525e-04 3.764417e-04 3.044823e-04 #> [10431,] 3.561173e-05 4.218707e-05 4.873774e-05 4.136567e-05 6.860106e-05 #> [10432,] 3.208589e-05 2.956592e-05 2.886289e-05 3.135037e-05 3.188802e-05 #> [10433,] 2.771991e-05 3.831133e-05 5.140116e-05 3.467183e-05 3.575436e-05 #> [10434,] 2.816991e-05 2.340390e-05 2.594289e-05 2.941282e-05 2.477674e-05 #> [10435,] 3.365849e-05 3.320677e-05 3.868864e-05 4.157976e-05 4.068316e-05 #> [10436,] 4.129074e-05 4.570738e-05 5.465547e-05 6.530811e-05 6.718068e-05 #> [10437,] 2.584924e-05 2.616831e-05 2.806615e-05 3.238163e-05 3.062712e-05 #> [10438,] 5.489635e-05 5.168618e-05 5.300653e-05 5.761343e-05 6.270096e-05 #> [10439,] 1.235731e-04 1.404008e-04 1.577835e-04 1.860262e-04 1.804668e-04 #> [10440,] 6.274418e-05 4.168843e-05 4.873527e-05 6.311990e-05 9.912478e-05 #> [10441,] 2.211661e-05 2.188364e-05 2.423514e-05 2.512599e-05 2.395272e-05 #> [10442,] 2.509098e-05 2.594168e-05 2.617233e-05 2.735061e-05 2.614790e-05 #> [10443,] 3.151400e-05 3.469367e-05 3.658772e-05 3.744870e-05 3.778778e-05 #> [10444,] 3.277355e-05 3.372892e-05 3.113682e-05 3.837386e-05 3.789117e-05 #> [10445,] 2.381651e-05 2.302679e-05 2.352540e-05 2.394899e-05 2.669489e-05 #> [10446,] 7.200035e-05 7.933703e-05 6.126587e-05 6.069185e-05 6.296054e-05 #> [10447,] 2.885333e-05 2.798296e-05 3.116878e-05 3.640615e-05 3.233295e-05 #> [10448,] 2.547133e-05 2.968448e-05 3.496760e-05 3.153562e-05 3.093130e-05 #> [10449,] 7.672679e-05 5.225370e-05 5.633766e-05 6.819873e-05 6.846069e-05 #> [10450,] 3.037386e-05 3.095562e-05 2.959965e-05 3.424092e-05 3.446796e-05 #> [10451,] 2.530260e-05 2.360487e-05 2.298689e-05 2.639194e-05 2.390458e-05 #> [10452,] 2.470711e-05 2.644014e-05 2.817132e-05 3.118195e-05 3.172430e-05 #> [10453,] 2.397938e-05 2.314112e-05 2.255296e-05 2.413321e-05 2.538559e-05 #> [10454,] 3.352148e-05 3.470315e-05 3.110508e-05 3.335135e-05 3.532653e-05 #> [10455,] 2.492820e-05 2.559328e-05 2.840736e-05 3.170141e-05 2.968033e-05 #> [10456,] 2.418830e-05 2.500847e-05 2.701033e-05 2.830069e-05 3.019907e-05 #> [10457,] 5.270461e-05 4.903338e-05 5.357722e-05 6.525065e-05 9.614029e-05 #> [10458,] 7.705279e-05 6.679608e-05 6.217447e-05 5.603405e-05 3.460073e-05 #> [10459,] 1.641419e-04 1.959175e-04 1.892785e-04 1.935681e-04 1.857661e-04 #> [10460,] 3.166135e-05 3.682187e-05 4.057121e-05 4.055527e-05 3.650587e-05 #> [10461,] 2.411188e-05 2.261241e-05 2.313526e-05 2.394925e-05 2.334969e-05 #> [10462,] 2.676117e-05 2.539917e-05 2.494800e-05 2.776895e-05 2.359196e-05 #> [10463,] 9.377540e-05 5.659399e-05 5.432995e-05 5.368175e-05 4.437591e-05 #> [10464,] 2.885006e-05 3.061474e-05 3.533364e-05 3.547547e-05 3.184489e-05 #> [10465,] 3.407909e-05 3.657978e-05 4.144689e-05 4.022178e-05 3.592435e-05 #> [10466,] 2.373172e-05 2.237784e-05 2.706453e-05 2.729522e-05 2.807988e-05 #> [10467,] 1.952968e-04 1.823774e-04 1.610505e-04 1.779258e-04 1.940824e-04 #> [10468,] 2.853693e-05 3.097394e-05 3.338441e-05 3.766609e-05 4.769067e-05 #> [10469,] 3.482613e-05 3.196627e-05 3.683062e-05 4.193230e-05 4.254501e-05 #> [10470,] 9.311251e-05 9.680179e-05 8.851859e-05 9.262157e-05 6.378681e-05 #> [10471,] 2.624122e-05 2.516281e-05 2.116879e-05 2.468061e-05 2.599251e-05 #> [10472,] 2.836450e-05 2.937332e-05 3.629990e-05 3.475650e-05 3.432532e-05 #> [10473,] 3.199735e-05 3.215914e-05 2.961117e-05 2.788182e-05 2.770033e-05 #> [10474,] 3.032550e-05 3.114821e-05 3.623668e-05 5.378596e-05 3.764483e-05 #> [10475,] 3.852078e-05 3.889789e-05 5.532563e-05 4.641162e-05 4.194502e-05 #> [10476,] 2.905854e-05 2.852398e-05 4.017437e-05 8.688209e-05 3.368388e-05 #> [10477,] 2.545996e-05 2.682078e-05 2.571431e-05 2.811756e-05 2.940943e-05 #> [10478,] 3.555367e-05 3.398104e-05 3.751812e-05 3.880801e-05 3.864100e-05 #> [10479,] 4.675797e-05 5.616737e-05 7.708796e-05 5.979563e-05 5.512570e-05 #> [10480,] 7.345634e-05 7.446923e-05 5.973801e-05 5.991554e-05 5.286487e-05 #> [10481,] 2.989256e-05 2.896281e-05 3.346142e-05 3.694285e-05 3.341396e-05 #> [10482,] 2.459898e-05 2.561453e-05 2.742150e-05 2.811928e-05 2.846655e-05 #> [10483,] 3.092257e-05 3.617213e-05 5.294363e-05 4.685931e-05 3.925073e-05 #> [10484,] 3.046466e-05 3.152627e-05 3.189138e-05 3.454965e-05 3.597200e-05 #> [10485,] 2.583632e-05 2.588382e-05 2.648982e-05 2.829050e-05 2.673465e-05 #> [10486,] 2.760818e-05 2.755503e-05 3.402661e-05 3.408194e-05 3.211227e-05 #> [10487,] 2.795362e-05 3.130380e-05 3.340116e-05 3.342712e-05 3.046575e-05 #> [10488,] 4.211829e-05 4.347937e-05 6.742036e-05 5.739036e-05 7.646177e-05 #> [10489,] 2.950306e-05 3.024556e-05 4.250050e-05 3.167610e-05 3.266049e-05 #> [10490,] 2.644472e-05 2.762533e-05 2.862647e-05 2.946333e-05 2.813239e-05 #> [10491,] 2.597566e-05 2.911758e-05 3.326305e-05 3.363097e-05 3.240470e-05 #> [10492,] 6.812899e-05 1.414956e-04 2.729342e-04 2.353678e-04 2.070931e-04 #> [10493,] 5.454538e-05 5.706963e-05 5.498864e-05 4.973843e-05 5.068152e-05 #> [10494,] 2.424253e-05 2.399608e-05 2.518079e-05 2.406338e-05 2.354891e-05 #> [10495,] 5.166213e-05 5.454326e-05 4.256194e-05 4.404872e-05 7.356914e-05 #> [10496,] 3.673918e-05 3.428747e-05 4.537604e-05 4.649784e-05 5.340945e-05 #> [10497,] 3.459259e-05 3.131518e-05 3.713758e-05 3.644829e-05 3.881444e-05 #> [10498,] 3.850072e-05 3.883484e-05 4.746767e-05 3.695152e-05 3.776302e-05 #> [10499,] 3.626668e-05 2.758995e-05 2.810448e-05 2.789000e-05 3.049293e-05 #> [10500,] 2.669002e-05 2.670061e-05 2.992360e-05 3.045884e-05 2.789336e-05 #> [10501,] 3.522680e-05 3.250472e-05 3.187197e-05 3.203644e-05 3.297975e-05 #> [10502,] 2.891353e-05 3.237372e-05 3.307845e-05 2.955999e-05 3.124975e-05 #> [10503,] 2.555969e-05 2.423884e-05 2.477811e-05 2.947509e-05 2.837393e-05 #> [10504,] 7.323254e-05 7.131756e-05 3.519482e-05 3.078966e-05 2.656354e-05 #> [10505,] 5.085604e-05 1.001211e-04 5.574893e-05 5.031734e-05 5.059054e-05 #> [10506,] 3.011719e-05 2.912005e-05 3.338766e-05 3.985892e-05 5.152227e-05 #> [10507,] 9.158471e-04 5.643148e-04 9.228804e-05 1.558666e-04 2.986161e-04 #> [10508,] 3.042496e-05 2.864126e-05 3.233196e-05 3.012027e-05 3.056248e-05 #> [10509,] 1.862253e-04 1.564355e-04 9.600879e-05 8.723739e-05 9.533244e-05 #> [10510,] 2.613543e-05 2.372590e-05 2.582754e-05 2.787324e-05 2.644257e-05 #> [10511,] 1.491820e-04 2.718458e-04 2.800720e-04 3.336649e-04 4.593311e-04 #> [10512,] 3.244806e-05 3.025291e-05 3.014371e-05 3.190209e-05 3.181213e-05 #> [10513,] 3.622533e-05 4.233821e-05 3.811843e-05 4.460494e-05 4.352908e-05 #> [10514,] 3.046214e-05 2.606482e-05 3.531340e-05 4.204089e-05 4.410985e-05 #> [10515,] 4.914843e-05 5.459491e-05 7.424883e-05 9.251658e-05 1.122984e-04 #> [10516,] 3.432864e-05 3.243194e-05 4.575638e-05 4.230923e-05 3.919447e-05 #> [10517,] 2.493256e-05 2.228949e-05 2.490616e-05 2.707316e-05 2.623984e-05 #> [10518,] 4.527164e-05 3.700028e-05 4.185435e-05 4.487209e-05 4.134370e-05 #> [10519,] 3.894124e-05 4.766018e-05 1.021934e-04 8.655097e-05 6.507413e-05 #> [10520,] 1.588960e-04 8.594787e-05 7.991477e-05 6.542535e-05 5.061061e-05 #> [10521,] 4.000502e-05 3.759024e-05 3.031172e-05 3.093527e-05 2.687944e-05 #> [10522,] 3.273174e-05 2.743503e-05 2.583647e-05 3.346190e-05 3.071488e-05 #> [10523,] 4.973983e-05 4.597576e-05 3.567899e-05 3.572728e-05 3.915663e-05 #> [10524,] 3.833120e-05 3.504727e-05 3.257527e-05 3.541117e-05 3.332184e-05 #> [10525,] 5.111548e-05 4.574786e-05 4.256789e-05 3.276003e-05 3.000082e-05 #> [10526,] 2.831831e-04 3.220558e-04 3.561286e-04 3.366428e-04 2.178665e-04 #> [10527,] 3.299568e-05 3.078658e-05 2.950472e-05 2.996043e-05 3.322792e-05 #> [10528,] 3.609649e-05 3.482339e-05 3.395115e-05 3.647635e-05 3.931976e-05 #> [10529,] 2.513956e-05 2.392029e-05 2.731679e-05 3.015248e-05 2.931295e-05 #> [10530,] 3.362852e-05 3.228053e-05 3.744816e-05 3.596438e-05 3.252661e-05 #> [10531,] 2.830512e-05 2.488869e-05 2.889952e-05 3.128758e-05 2.975431e-05 #> [10532,] 4.820352e-05 5.424543e-05 7.988978e-05 6.313483e-05 5.696000e-05 #> [10533,] 4.111142e-05 4.491501e-05 4.349897e-05 4.206644e-05 3.915058e-05 #> [10534,] 3.140769e-05 3.068483e-05 3.365008e-05 3.225681e-05 3.289206e-05 #> [10535,] 2.590044e-05 2.680972e-05 2.838598e-05 2.845392e-05 2.860803e-05 #> [10536,] 1.181310e-04 1.297589e-04 4.838875e-05 4.532332e-05 4.236684e-05 #> [10537,] 2.740005e-05 2.490250e-05 3.066390e-05 3.241270e-05 3.055545e-05 #> [10538,] 2.397253e-05 2.753988e-05 3.250135e-05 2.993504e-05 3.362461e-05 #> [10539,] 3.484480e-05 3.384211e-05 3.314110e-05 4.414302e-05 4.674458e-05 #> [10540,] 2.889434e-05 2.934727e-05 3.441583e-05 3.563981e-05 3.448773e-05 #> [10541,] 6.089910e-05 5.140495e-05 3.555736e-05 3.755685e-05 2.957349e-05 #> [10542,] 2.717379e-05 2.863613e-05 3.360498e-05 3.421962e-05 4.403844e-05 #> [10543,] 2.880726e-05 2.792151e-05 2.691009e-05 3.111929e-05 3.157319e-05 #> [10544,] 2.984071e-05 2.701938e-05 2.948110e-05 3.075821e-05 2.981578e-05 #> [10545,] 3.838936e-05 3.907916e-05 4.631026e-05 5.693550e-05 5.279339e-05 #> [10546,] 4.735544e-05 4.766142e-05 4.626506e-05 4.649479e-05 4.344691e-05 #> [10547,] 2.897189e-05 2.821842e-05 3.783040e-05 3.890963e-05 3.309030e-05 #> [10548,] 4.453040e-05 4.491648e-05 4.302339e-05 4.847077e-05 6.337798e-05 #> [10549,] 2.734342e-05 2.779719e-05 2.986191e-05 2.799788e-05 2.816676e-05 #> [10550,] 2.374068e-05 2.808886e-05 3.388445e-05 3.060403e-05 3.348925e-05 #> [10551,] 4.891199e-05 4.178567e-05 3.002608e-05 4.023000e-05 4.180013e-05 #> [10552,] 1.535094e-04 1.175400e-04 9.548793e-05 1.244704e-04 1.534176e-04 #> [10553,] 2.869213e-05 2.181133e-05 2.390872e-05 2.512252e-05 2.404669e-05 #> [10554,] 4.807176e-05 3.730591e-05 3.493702e-05 3.509978e-05 3.281783e-05 #> [10555,] 3.070836e-05 3.490489e-05 3.703971e-05 3.900619e-05 3.348929e-05 #> [10556,] 2.769216e-05 2.782009e-05 2.619222e-05 2.533409e-05 2.758011e-05 #> [10557,] 2.937105e-05 3.114078e-05 3.196066e-05 3.198296e-05 3.141786e-05 #> [10558,] 2.607845e-05 3.125338e-05 3.331447e-05 3.218290e-05 3.166138e-05 #> [10559,] 3.225713e-05 4.991700e-05 5.303305e-05 4.405146e-05 4.124339e-05 #> [10560,] 2.844631e-05 2.748448e-05 2.764171e-05 3.081293e-05 3.404723e-05 #> [10561,] 2.708559e-05 2.587097e-05 2.717023e-05 2.911919e-05 2.995836e-05 #> [10562,] 4.055857e-05 3.158941e-05 4.715820e-05 5.098296e-05 4.478225e-05 #> [10563,] 2.962920e-05 2.834116e-05 2.847436e-05 2.877644e-05 2.838029e-05 #> [10564,] 5.846407e-05 6.184759e-05 4.937313e-05 4.401395e-05 4.306121e-05 #> [10565,] 2.409536e-05 2.321718e-05 2.382541e-05 2.455391e-05 2.314285e-05 #> [10566,] 2.727868e-05 2.659191e-05 2.725525e-05 2.889473e-05 2.915899e-05 #> [10567,] 3.196235e-05 3.111703e-05 3.636363e-05 3.438056e-05 3.230093e-05 #> [10568,] 1.533099e-04 1.241968e-04 1.732822e-04 1.279376e-04 1.206702e-04 #> [10569,] 2.986629e-05 3.549798e-05 4.954287e-05 4.199467e-05 4.316292e-05 #> [10570,] 3.813868e-05 3.698912e-05 3.581589e-05 3.886795e-05 3.904098e-05 #> [10571,] 2.923044e-05 3.387556e-05 6.789781e-05 6.282873e-05 6.803052e-05 #> [10572,] 2.630250e-05 2.627010e-05 2.748995e-05 3.000328e-05 2.781282e-05 #> [10573,] 4.410610e-05 3.835382e-05 3.418412e-05 3.386529e-05 3.364549e-05 #> [10574,] 2.656607e-05 2.625586e-05 3.045363e-05 3.266280e-05 3.494585e-05 #> [10575,] 2.870070e-05 2.819978e-05 3.344664e-05 3.451243e-05 3.549049e-05 #> [10576,] 2.594642e-05 2.359165e-05 2.438822e-05 2.529440e-05 2.406815e-05 #> [10577,] 2.394499e-05 2.366217e-05 2.411696e-05 2.662802e-05 2.471328e-05 #> [10578,] 2.694615e-05 2.886321e-05 3.078182e-05 3.147567e-05 3.083049e-05 #> [10579,] 3.100061e-05 3.135049e-05 4.345133e-05 4.916653e-05 4.848420e-05 #> [10580,] 5.152485e-05 4.229726e-05 4.076888e-05 4.152581e-05 3.631293e-05 #> [10581,] 8.590293e-04 8.364288e-04 9.020132e-04 9.476836e-04 9.075579e-04 #> [10582,] 4.853646e-05 5.447728e-05 6.708150e-05 6.991103e-05 5.535386e-05 #> [10583,] 7.756667e-05 9.256715e-05 8.043178e-05 8.445660e-05 8.262974e-05 #> [10584,] 5.087633e-05 6.417365e-05 5.163502e-05 5.263874e-05 3.839817e-05 #> [10585,] 4.421578e-05 5.732790e-05 4.870149e-05 5.388415e-05 5.116254e-05 #> [10586,] 4.887544e-05 6.164836e-05 1.568669e-04 1.301473e-04 1.161710e-04 #> [10587,] 2.846025e-05 2.648693e-05 2.715367e-05 2.715253e-05 2.481350e-05 #> [10588,] 2.571956e-05 2.449665e-05 2.907527e-05 4.335093e-05 3.151119e-05 #> [10589,] 8.144111e-05 8.557172e-05 5.336387e-05 5.401328e-05 4.383176e-05 #> [10590,] 3.440968e-05 4.428406e-05 2.910343e-05 2.762077e-05 2.775290e-05 #> [10591,] 2.945454e-05 2.760192e-05 3.274702e-05 3.793523e-05 4.182470e-05 #> [10592,] 3.068829e-05 3.300204e-05 3.330339e-05 3.368910e-05 3.270268e-05 #> [10593,] 3.250238e-05 2.875714e-05 2.749931e-05 3.357908e-05 3.266670e-05 #> [10594,] 6.354665e-05 5.065162e-05 6.549094e-05 6.628839e-05 7.012947e-05 #> [10595,] 2.358620e-04 1.892236e-04 9.657325e-05 1.002964e-04 8.454225e-05 #> [10596,] 9.674682e-05 1.002185e-04 1.126703e-04 1.117636e-04 1.078414e-04 #> [10597,] 2.947606e-05 2.892005e-05 2.467906e-05 2.496542e-05 2.327334e-05 #> [10598,] 6.797597e-05 8.902414e-05 1.119644e-04 1.074109e-04 1.092930e-04 #> [10599,] 3.218368e-05 3.530083e-05 8.981173e-05 7.904477e-05 9.104300e-05 #> [10600,] 2.177291e-03 1.933713e-03 2.233651e-03 2.193942e-03 2.119168e-03 #> [10601,] 1.279638e-04 1.500719e-04 1.208435e-04 1.183800e-04 1.194903e-04 #> [10602,] 3.059453e-05 3.246701e-05 3.221316e-05 3.406462e-05 3.433248e-05 #> [10603,] 3.510763e-05 3.195739e-05 3.426789e-05 3.811512e-05 3.676552e-05 #> [10604,] 2.405658e-05 2.462136e-05 2.597075e-05 2.881361e-05 2.804683e-05 #> [10605,] 5.582168e-05 5.651350e-05 4.079264e-05 4.395714e-05 6.001187e-05 #> [10606,] 1.195581e-04 1.038572e-04 7.224663e-05 7.165273e-05 7.912891e-05 #> [10607,] 1.488153e-04 1.297877e-04 7.040997e-05 6.447299e-05 6.877114e-05 #> [10608,] 3.200027e-05 2.982537e-05 2.752702e-05 3.067741e-05 2.931059e-05 #> [10609,] 6.459496e-05 4.012349e-05 3.859850e-05 4.251337e-05 3.448998e-05 #> [10610,] 2.419593e-05 2.335400e-05 2.509730e-05 2.641287e-05 2.395945e-05 #> [10611,] 2.681751e-05 3.137446e-05 2.856567e-05 2.846420e-05 2.685547e-05 #> [10612,] 8.589237e-05 6.789676e-05 8.790798e-05 7.872671e-05 6.278241e-05 #> [10613,] 3.265626e-05 3.362104e-05 7.377010e-05 7.131203e-05 7.433446e-05 #> [10614,] 2.299653e-05 2.186269e-05 2.413542e-05 2.504295e-05 2.397232e-05 #> [10615,] 2.386385e-05 2.277420e-05 2.451047e-05 2.661950e-05 2.511094e-05 #> [10616,] 2.413253e-05 2.462127e-05 2.898421e-05 3.153783e-05 3.074833e-05 #> [10617,] 2.852223e-05 3.276027e-05 3.404319e-05 3.223192e-05 3.639323e-05 #> [10618,] 2.297084e-05 2.133420e-05 2.315508e-05 2.641179e-05 2.707768e-05 #> [10619,] 2.950990e-04 3.876559e-04 3.548323e-04 3.968647e-04 3.015380e-04 #> [10620,] 3.299569e-05 3.013156e-05 3.491683e-05 3.717302e-05 3.368717e-05 #> [10621,] 4.529065e-05 5.415033e-05 4.758079e-05 5.109723e-05 6.972117e-05 #> [10622,] 3.390374e-05 3.249854e-05 3.030905e-05 3.464032e-05 3.495526e-05 #> [10623,] 2.413389e-05 2.237843e-05 2.383191e-05 2.526504e-05 2.376731e-05 #> [10624,] 2.777945e-05 2.494545e-05 2.842486e-05 3.146753e-05 3.165646e-05 #> [10625,] 3.796327e-05 5.303442e-05 4.284191e-05 3.937180e-05 3.230606e-05 #> [10626,] 7.865595e-05 5.798494e-05 5.689920e-05 7.259870e-05 1.050219e-04 #> [10627,] 3.246849e-05 3.031472e-05 3.982144e-05 3.998291e-05 3.950147e-05 #> [10628,] 2.915011e-05 2.809307e-05 3.068672e-05 3.151239e-05 3.094205e-05 #> [10629,] 3.054386e-05 3.538291e-05 3.993555e-05 3.324975e-05 3.313154e-05 #> [10630,] 2.557857e-05 2.286171e-05 2.142716e-05 2.422411e-05 2.859227e-05 #> [10631,] 2.906893e-05 3.014649e-05 3.288139e-05 3.762607e-05 3.395582e-05 #> [10632,] 4.028844e-05 3.702816e-05 5.393214e-05 7.011899e-05 4.397936e-05 #> [10633,] 3.591856e-05 4.150148e-05 4.728403e-05 4.923310e-05 5.490536e-05 #> [10634,] 2.614446e-05 2.640068e-05 3.250012e-05 2.963949e-05 3.488243e-05 #> [10635,] 2.920159e-05 2.909824e-05 3.263516e-05 3.581524e-05 3.334280e-05 #> [10636,] 4.911078e-05 3.417087e-05 3.578714e-05 4.579843e-05 3.959814e-05 #> [10637,] 3.042670e-05 3.422683e-05 4.459605e-05 3.714971e-05 3.509319e-05 #> [10638,] 3.037803e-05 3.638761e-05 3.405003e-05 3.428586e-05 3.669537e-05 #> [10639,] 4.005013e-05 3.232530e-05 4.242459e-05 4.859616e-05 6.687282e-05 #> [10640,] 7.591726e-05 8.066188e-05 1.001185e-04 1.097363e-04 7.633213e-05 #> [10641,] 3.169283e-05 3.141650e-05 2.946267e-05 3.024766e-05 3.125566e-05 #> [10642,] 3.731834e-05 4.359897e-05 6.829802e-05 6.419676e-05 5.498467e-05 #> [10643,] 4.383203e-05 4.542678e-05 5.767884e-05 6.363873e-05 4.896078e-05 #> [10644,] 1.488085e-03 1.271336e-03 1.139647e-03 1.061332e-03 1.028727e-03 #> [10645,] 3.282275e-05 3.537935e-05 3.596501e-05 3.286756e-05 3.323189e-05 #> [10646,] 2.749330e-05 2.998002e-05 2.759341e-05 2.844954e-05 2.855086e-05 #> [10647,] 2.774439e-05 2.809199e-05 3.576445e-05 3.417148e-05 4.474711e-05 #> [10648,] 2.502956e-05 2.853214e-05 3.344593e-05 2.895662e-05 3.038945e-05 #> [10649,] 3.236499e-04 6.693674e-04 4.968295e-04 4.657901e-04 5.295990e-04 #> [10650,] 3.514127e-05 3.530057e-05 3.552831e-05 3.600905e-05 3.614996e-05 #> [10651,] 3.723114e-05 4.119226e-05 3.386618e-05 3.338666e-05 3.279750e-05 #> [10652,] 2.679025e-05 2.463029e-05 2.640487e-05 2.531757e-05 2.578941e-05 #> [10653,] 2.451270e-04 2.622905e-04 3.431819e-04 4.077211e-04 3.947452e-04 #> [10654,] 5.236474e-05 4.688847e-05 5.546515e-05 6.299400e-05 6.881277e-05 #> [10655,] 2.626127e-05 2.737372e-05 2.990300e-05 2.953054e-05 3.126105e-05 #> [10656,] 3.143588e-05 3.241055e-05 4.038646e-05 3.749100e-05 4.091991e-05 #> [10657,] 3.042673e-05 2.715748e-05 2.795129e-05 2.536932e-05 2.541943e-05 #> [10658,] 2.299973e-05 2.412480e-05 3.192812e-05 2.847027e-05 2.685091e-05 #> [10659,] 3.612276e-04 3.244541e-04 2.260588e-04 2.094729e-04 1.929777e-04 #> [10660,] 2.938309e-05 2.889288e-05 3.015658e-05 3.144456e-05 2.950810e-05 #> [10661,] 4.522109e-04 5.975386e-04 6.767692e-04 6.593843e-04 3.970175e-04 #> [10662,] 6.700566e-05 6.910069e-05 6.416641e-05 6.279489e-05 5.565437e-05 #> [10663,] 3.924279e-05 4.271908e-05 6.586106e-05 5.868758e-05 4.439404e-05 #> [10664,] 6.317155e-05 7.298243e-05 5.507685e-05 5.625384e-05 6.964592e-05 #> [10665,] 4.669460e-05 5.333621e-05 4.206735e-05 5.830666e-05 5.359825e-05 #> [10666,] 2.802063e-05 2.881104e-05 3.827614e-05 3.629307e-05 3.427272e-05 #> [10667,] 6.974041e-05 9.042955e-05 7.550210e-05 8.203832e-05 1.240260e-04 #> [10668,] 6.040823e-05 4.280182e-05 4.805587e-05 3.460198e-05 3.530523e-05 #> [10669,] 1.047485e-04 9.266128e-05 7.895730e-05 7.947971e-05 1.120708e-04 #> [10670,] 3.457889e-04 2.539933e-04 5.434254e-04 4.355666e-04 3.219088e-04 #> [10671,] 1.185014e-04 1.330814e-04 9.115241e-05 8.175165e-05 8.163376e-05 #> [10672,] 3.097290e-05 3.067492e-05 3.104898e-05 3.092176e-05 3.330889e-05 #> [10673,] 2.528981e-05 2.644216e-05 2.672309e-05 2.581570e-05 2.443118e-05 #> [10674,] 3.360892e-05 3.321463e-05 2.915311e-05 2.826505e-05 3.108410e-05 #> [10675,] 3.459451e-05 2.580618e-05 2.985417e-05 3.204000e-05 3.289972e-05 #> [10676,] 6.869275e-05 7.832049e-05 4.572891e-05 5.368149e-05 5.389560e-05 #> [10677,] 2.631343e-05 2.529853e-05 3.061219e-05 3.106919e-05 2.879890e-05 #> [10678,] 4.114930e-04 4.006957e-04 5.082345e-04 4.346769e-04 5.052564e-04 #> [10679,] 2.931538e-05 3.199619e-05 4.254100e-05 3.220963e-05 3.284277e-05 #> [10680,] 4.439438e-05 4.069449e-05 4.089361e-05 4.261238e-05 3.784439e-05 #> [10681,] 3.389866e-05 3.515429e-05 4.383865e-05 4.399673e-05 4.091157e-05 #> [10682,] 2.855828e-05 2.828858e-05 3.418015e-05 3.206854e-05 2.862628e-05 #> [10683,] 2.855916e-05 2.802489e-05 3.376149e-05 3.727340e-05 3.516755e-05 #> [10684,] 5.794012e-05 6.909568e-05 6.425932e-05 5.020761e-05 4.252312e-05 #> [10685,] 2.686447e-05 2.706820e-05 2.841621e-05 2.893992e-05 2.853902e-05 #> [10686,] 3.875838e-05 4.014088e-05 3.676534e-05 4.949842e-05 4.461002e-05 #> [10687,] 1.383935e-04 1.374512e-04 1.214120e-04 6.953484e-05 5.433371e-05 #> [10688,] 3.517284e-05 4.798694e-05 5.724756e-05 5.642817e-05 4.815072e-05 #> [10689,] 5.720436e-04 5.109922e-04 1.758738e-04 1.475829e-04 1.411255e-04 #> [10690,] 2.999645e-05 2.767971e-05 2.851379e-05 3.090018e-05 3.318747e-05 #> [10691,] 1.319816e-04 7.154278e-05 1.206607e-04 1.199601e-04 8.824101e-05 #> [10692,] 3.717648e-05 3.963493e-05 4.134942e-05 3.411101e-05 3.182024e-05 #> [10693,] 3.601205e-05 3.302303e-05 4.386536e-05 4.644304e-05 3.977900e-05 #> [10694,] 4.216803e-05 3.660706e-05 4.739043e-05 4.324166e-05 3.785972e-05 #> [10695,] 3.698012e-05 4.079704e-05 3.647672e-05 3.504571e-05 3.528092e-05 #> [10696,] 4.145010e-05 4.631556e-05 4.473581e-05 4.952776e-05 4.118077e-05 #> [10697,] 2.575569e-05 2.806492e-05 2.881996e-05 2.751538e-05 2.788322e-05 #> [10698,] 2.473103e-05 2.430480e-05 2.574369e-05 2.663244e-05 2.658861e-05 #> [10699,] 3.174995e-05 3.345558e-05 3.751145e-05 3.465645e-05 3.534827e-05 #> [10700,] 3.766502e-04 3.577201e-04 2.962623e-04 2.356302e-04 1.645480e-04 #> [10701,] 4.858801e-05 5.102800e-05 3.053538e-05 3.205142e-05 3.210992e-05 #> [10702,] 3.941770e-05 3.835208e-05 4.237415e-05 4.258685e-05 3.931458e-05 #> [10703,] 1.297916e-03 9.738785e-04 4.399569e-04 4.097573e-04 4.027000e-04 #> [10704,] 5.965788e-04 7.808169e-04 9.759850e-04 9.023756e-04 8.241219e-04 #> [10705,] 5.498030e-05 7.641064e-05 7.366455e-05 7.354179e-05 8.445234e-05 #> [10706,] 2.976097e-05 3.234219e-05 2.777404e-05 3.360609e-05 3.327886e-05 #> [10707,] 2.891294e-05 2.775898e-05 2.851633e-05 3.252068e-05 3.072180e-05 #> [10708,] 3.397834e-05 2.847529e-05 3.709591e-05 3.684302e-05 3.379110e-05 #> [10709,] 3.237993e-05 3.550154e-05 3.388899e-05 3.249493e-05 3.336729e-05 #> [10710,] 3.174641e-05 3.044757e-05 3.048077e-05 3.376640e-05 3.496309e-05 #> [10711,] 2.583234e-05 2.387894e-05 2.462835e-05 2.737669e-05 2.718541e-05 #> [10712,] 4.381615e-05 3.539970e-05 3.609213e-05 4.603325e-05 3.786347e-05 #> [10713,] 3.529916e-05 3.174279e-05 3.317083e-05 3.465758e-05 3.434128e-05 #> [10714,] 5.749602e-05 5.906814e-05 1.556875e-04 1.672236e-04 2.243154e-04 #> [10715,] 3.566573e-05 3.573056e-05 3.652626e-05 3.849496e-05 3.560256e-05 #> [10716,] 2.719197e-05 2.681225e-05 2.660478e-05 2.985443e-05 2.868793e-05 #> [10717,] 3.342154e-05 4.762261e-05 4.998611e-05 4.480954e-05 4.085285e-05 #> [10718,] 2.613147e-05 3.365879e-05 2.520591e-05 2.571021e-05 2.564257e-05 #> [10719,] 7.889322e-05 8.699271e-05 2.288505e-04 2.485438e-04 3.283085e-04 #> [10720,] 1.130508e-04 7.550656e-05 8.705818e-05 1.088608e-04 1.080275e-04 #> [10721,] 5.884666e-05 4.637493e-05 3.928150e-05 3.682810e-05 4.238987e-05 #> [10722,] 3.357286e-05 3.007615e-05 3.765087e-05 4.291716e-05 4.220481e-05 #> [10723,] 3.059954e-05 3.367088e-05 3.312900e-05 3.208775e-05 3.019779e-05 #> [10724,] 2.552614e-05 2.784429e-05 2.723546e-05 2.868106e-05 3.077415e-05 #> [10725,] 1.740017e-04 1.182121e-04 8.418600e-05 6.952950e-05 6.195158e-05 #> [10726,] 4.679585e-05 7.037757e-05 6.944435e-05 4.666977e-05 3.416224e-05 #> [10727,] 2.666010e-05 2.720580e-05 2.836587e-05 3.039813e-05 3.369018e-05 #> [10728,] 3.930601e-05 3.557047e-05 3.559132e-05 3.183873e-05 3.414112e-05 #> [10729,] 2.603169e-05 2.687532e-05 2.692867e-05 3.019873e-05 2.979290e-05 #> [10730,] 2.745665e-05 2.749746e-05 3.380920e-05 3.163338e-05 3.046709e-05 #> [10731,] 7.133661e-05 1.430760e-04 1.360705e-04 1.616907e-04 9.813817e-04 #> [10732,] 2.806602e-05 2.485093e-05 2.616836e-05 2.687817e-05 2.794812e-05 #> [10733,] 2.936402e-05 2.526167e-05 3.005174e-05 2.769507e-05 2.878588e-05 #> [10734,] 2.953368e-05 2.766205e-05 3.220304e-05 3.224384e-05 2.935881e-05 #> [10735,] 2.817102e-05 3.351481e-05 4.154182e-05 3.388559e-05 3.350439e-05 #> [10736,] 3.283519e-05 5.611343e-05 8.251735e-05 6.261503e-05 5.301502e-05 #> [10737,] 2.557067e-05 2.535030e-05 2.645147e-05 3.088917e-05 3.215340e-05 #> [10738,] 2.368736e-05 2.342788e-05 2.533142e-05 2.574973e-05 2.539299e-05 #> [10739,] 2.715914e-05 2.501106e-05 2.528344e-05 2.811349e-05 2.888583e-05 #> [10740,] 3.377136e-05 3.333120e-05 5.345132e-05 5.334291e-05 4.897277e-05 #> [10741,] 3.729800e-05 4.008109e-05 3.936557e-05 3.858407e-05 3.699210e-05 #> [10742,] 4.506102e-05 5.742437e-05 4.105478e-05 4.346546e-05 4.606022e-05 #> [10743,] 3.092501e-05 2.984886e-05 3.323812e-05 3.575369e-05 3.000403e-05 #> [10744,] 4.730135e-05 6.030153e-05 5.933273e-05 6.567530e-05 8.824343e-05 #> [10745,] 1.865516e-04 2.212576e-04 2.814349e-04 2.656946e-04 2.174837e-04 #> [10746,] 3.494296e-05 2.715342e-05 2.510134e-05 2.457307e-05 2.533600e-05 #> [10747,] 2.774617e-05 2.760433e-05 2.947117e-05 3.054377e-05 2.835020e-05 #> [10748,] 2.524020e-05 2.585608e-05 3.033158e-05 3.185469e-05 2.926571e-05 #> [10749,] 3.227054e-05 3.182329e-05 4.062812e-05 4.105107e-05 3.717421e-05 #> [10750,] 4.874765e-05 4.932039e-05 3.908761e-05 3.943041e-05 4.138742e-05 #> [10751,] 3.404675e-05 2.993319e-05 4.466625e-05 3.565687e-05 3.717633e-05 #> [10752,] 2.793007e-05 4.127589e-05 3.205145e-05 2.691899e-05 3.483436e-05 #> [10753,] 2.638715e-05 2.553747e-05 2.550019e-05 2.851229e-05 3.112722e-05 #> [10754,] 7.963923e-05 6.240150e-05 5.113039e-05 4.771795e-05 4.488987e-05 #> [10755,] 3.639798e-04 6.158053e-04 4.222850e-04 3.815864e-04 2.506216e-04 #> [10756,] 2.483355e-05 2.396584e-05 2.712725e-05 3.061260e-05 2.767630e-05 #> [10757,] 2.355427e-05 2.698950e-05 2.878546e-05 2.750265e-05 2.893372e-05 #> [10758,] 2.562120e-05 2.246100e-05 2.333798e-05 2.508459e-05 2.259640e-05 #> [10759,] 7.893821e-05 7.550547e-05 5.332883e-05 5.730438e-05 5.948109e-05 #> [10760,] 6.917097e-04 3.750862e-04 3.294095e-04 5.224455e-04 5.054695e-04 #> [10761,] 4.417067e-05 4.380226e-05 4.899247e-05 5.104838e-05 4.710509e-05 #> [10762,] 3.899592e-05 4.110497e-05 4.410423e-05 4.923907e-05 4.202411e-05 #> [10763,] 2.457189e-05 2.310014e-05 2.536248e-05 2.640913e-05 2.591539e-05 #> [10764,] 2.728538e-05 2.490613e-05 3.159980e-05 3.242733e-05 3.383708e-05 #> [10765,] 3.221352e-05 3.804622e-05 6.818400e-05 5.143636e-05 4.452379e-05 #> [10766,] 5.032687e-05 3.467387e-05 5.258507e-05 5.523606e-05 5.863797e-05 #> [10767,] 4.469590e-05 4.047388e-05 6.894695e-05 4.928011e-05 4.548454e-05 #> [10768,] 2.487144e-05 2.528083e-05 2.761288e-05 3.067944e-05 3.006488e-05 #> [10769,] 2.734247e-05 3.241293e-05 3.975853e-05 4.026727e-05 3.798516e-05 #> [10770,] 3.200785e-05 2.984844e-05 2.915810e-05 3.172701e-05 3.273382e-05 #> [10771,] 5.510054e-05 6.311165e-05 5.541532e-05 5.223891e-05 6.479968e-05 #> [10772,] 2.376322e-05 2.269020e-05 2.854947e-05 2.917923e-05 3.006750e-05 #> [10773,] 1.396595e-04 1.793663e-04 1.821409e-04 1.756217e-04 1.390068e-04 #> [10774,] 5.014232e-05 7.408436e-05 6.816946e-05 6.356364e-05 5.522972e-05 #> [10775,] 3.108974e-05 3.319791e-05 4.612945e-05 3.505905e-05 3.523078e-05 #> [10776,] 3.034316e-05 3.182701e-05 2.868471e-05 3.065974e-05 3.335253e-05 #> [10777,] 5.974084e-05 5.765021e-05 1.126004e-04 1.356990e-04 9.339075e-05 #> [10778,] 2.573219e-05 2.520803e-05 2.750166e-05 2.547042e-05 2.458960e-05 #> [10779,] 2.614121e-05 2.762443e-05 3.166186e-05 2.776673e-05 3.051528e-05 #> [10780,] 2.813654e-05 2.719188e-05 3.330955e-05 3.228194e-05 3.101761e-05 #> [10781,] 1.524919e-04 3.978146e-05 3.023893e-05 3.979717e-05 2.580623e-05 #> [10782,] 1.992395e-04 1.771218e-04 1.310979e-04 1.434418e-04 1.537674e-04 #> [10783,] 2.569337e-05 2.539521e-05 2.527914e-05 2.791715e-05 2.744367e-05 #> [10784,] 3.192775e-05 2.959150e-05 3.501416e-05 3.856687e-05 3.626526e-05 #> [10785,] 2.193294e-04 1.738634e-04 1.435382e-04 1.262654e-04 1.248850e-04 #> [10786,] 2.934429e-05 3.106291e-05 3.016776e-05 2.910789e-05 3.082944e-05 #> [10787,] 3.487529e-05 4.387957e-05 8.003743e-05 6.754330e-05 6.105629e-05 #> [10788,] 1.373309e-04 9.822470e-05 6.083470e-05 6.909731e-05 5.136299e-05 #> [10789,] 6.956384e-05 8.104213e-05 9.124174e-05 8.211034e-05 7.147007e-05 #> [10790,] 3.066302e-05 2.867144e-05 4.414887e-05 5.329217e-05 5.665657e-05 #> [10791,] 2.913653e-04 2.125141e-04 2.023446e-04 2.241063e-04 2.329415e-04 #> [10792,] 3.683958e-05 3.204721e-05 5.627245e-05 5.204849e-05 4.499531e-05 #> [10793,] 2.827081e-05 2.580089e-05 2.595822e-05 2.870891e-05 2.756390e-05 #> [10794,] 8.007407e-05 1.125254e-04 1.692625e-04 2.248731e-04 2.465626e-04 #> [10795,] 2.638859e-05 2.663281e-05 2.739007e-05 2.885439e-05 2.889436e-05 #> [10796,] 3.042682e-05 3.082930e-05 3.542977e-05 3.669891e-05 3.244983e-05 #> [10797,] 2.206350e-05 2.134073e-05 2.352975e-05 2.408612e-05 2.284279e-05 #> [10798,] 2.669293e-05 2.940201e-05 3.976225e-05 4.423164e-05 3.647120e-05 #> [10799,] 5.249259e-05 4.696365e-05 7.645525e-05 1.093836e-04 9.359757e-05 #> [10800,] 3.866518e-05 3.712420e-05 4.607169e-05 3.938695e-05 3.502675e-05 #> [10801,] 4.271985e-04 3.008585e-04 2.399409e-04 2.220006e-04 2.480318e-04 #> [10802,] 2.694636e-05 2.725513e-05 3.005874e-05 3.134031e-05 3.927495e-05 #> [10803,] 6.491442e-05 5.684858e-05 5.389304e-05 6.339237e-05 5.995220e-05 #> [10804,] 3.095670e-05 3.094607e-05 3.362917e-05 2.901932e-05 3.093213e-05 #> [10805,] 2.393596e-05 2.271467e-05 2.445029e-05 2.390478e-05 2.349289e-05 #> [10806,] 2.744174e-05 3.267454e-05 3.888721e-05 3.351756e-05 3.373086e-05 #> [10807,] 3.783052e-05 2.978812e-05 3.485193e-05 3.699195e-05 3.403403e-05 #> [10808,] 4.532280e-05 4.247556e-05 7.388388e-05 6.714381e-05 6.945413e-05 #> [10809,] 4.375071e-05 3.512721e-05 4.112513e-05 4.609187e-05 5.465754e-05 #> [10810,] 7.783968e-04 5.584603e-04 4.954431e-04 5.157547e-04 4.528775e-04 #> [10811,] 8.140862e-04 1.263984e-03 1.154867e-03 9.822950e-04 6.857406e-04 #> [10812,] 3.266399e-05 3.391473e-05 4.085104e-05 3.829120e-05 3.297377e-05 #> [10813,] 2.583434e-05 2.586212e-05 2.789827e-05 3.093805e-05 2.399898e-05 #> [10814,] 3.367133e-05 3.643199e-05 3.177755e-05 3.354539e-05 3.682631e-05 #> [10815,] 2.543287e-05 2.489061e-05 2.693347e-05 3.189627e-05 3.241226e-05 #> [10816,] 4.106608e-05 2.800155e-05 3.674120e-05 3.311328e-05 3.767568e-05 #> [10817,] 2.565932e-05 2.771553e-05 3.117757e-05 3.082958e-05 2.949326e-05 #> [10818,] 3.362448e-05 3.659262e-05 4.090014e-05 4.222327e-05 4.094043e-05 #> [10819,] 3.424350e-05 3.014917e-05 4.947667e-05 6.275755e-05 6.122645e-05 #> [10820,] 2.988193e-05 3.471883e-05 3.651343e-05 3.705553e-05 3.325650e-05 #> [10821,] 2.560639e-05 2.493240e-05 2.704225e-05 2.923967e-05 2.829632e-05 #> [10822,] 1.622056e-04 1.070190e-04 8.853352e-05 8.994336e-05 7.628045e-05 #> [10823,] 1.132277e-04 1.037633e-04 7.980235e-05 9.807245e-05 1.787551e-04 #> [10824,] 3.445930e-05 3.648950e-05 4.155055e-05 3.673499e-05 3.582940e-05 #> [10825,] 2.881418e-05 2.735866e-05 3.164765e-05 3.250240e-05 2.958026e-05 #> [10826,] 2.678806e-05 2.982303e-05 3.216359e-05 3.161582e-05 2.993157e-05 #> [10827,] 8.315574e-05 1.222011e-04 9.562179e-05 8.827279e-05 1.168960e-04 #> [10828,] 6.226053e-05 6.899127e-05 7.379793e-05 8.021114e-05 7.276066e-05 #> [10829,] 3.064951e-05 3.020878e-05 3.082520e-05 3.374982e-05 3.090497e-05 #> [10830,] 3.589883e-05 3.948263e-05 3.787051e-05 3.688128e-05 3.830669e-05 #> [10831,] 3.069937e-05 3.099859e-05 4.006570e-05 3.954864e-05 3.074863e-05 #> [10832,] 2.867399e-05 3.042299e-05 3.207533e-05 3.294460e-05 3.269171e-05 #> [10833,] 3.120505e-05 3.755755e-05 4.562961e-05 3.862871e-05 3.590138e-05 #> [10834,] 5.293811e-04 8.122522e-04 6.836801e-04 1.058477e-03 1.103044e-03 #> [10835,] 2.355361e-05 2.183240e-05 2.420770e-05 2.756208e-05 2.706494e-05 #> [10836,] 4.676121e-05 5.640841e-05 9.098832e-05 9.322203e-05 1.206018e-04 #> [10837,] 2.361480e-05 2.584028e-05 2.786317e-05 2.500358e-05 2.393633e-05 #> [10838,] 2.511271e-05 2.528254e-05 2.510772e-05 2.720035e-05 2.910037e-05 #> [10839,] 2.606292e-05 2.297515e-05 2.753824e-05 3.099127e-05 2.890814e-05 #> [10840,] 2.725800e-05 3.037795e-05 3.364091e-05 3.305835e-05 3.621927e-05 #> [10841,] 3.052993e-05 3.499890e-05 4.935752e-05 3.558262e-05 3.693223e-05 #> [10842,] 3.156202e-05 3.250720e-05 3.702345e-05 3.481074e-05 3.323512e-05 #> [10843,] 3.189878e-05 3.289310e-05 4.958681e-05 5.403733e-05 4.444003e-05 #> [10844,] 3.212752e-05 3.347824e-05 3.652002e-05 3.648518e-05 3.415642e-05 #> [10845,] 3.787418e-05 4.628999e-05 4.844927e-05 4.708002e-05 4.707253e-05 #> [10846,] 3.461736e-05 7.002448e-05 1.151788e-04 3.757111e-05 3.128330e-05 #> [10847,] 2.956764e-05 2.709532e-05 2.660385e-05 2.676787e-05 2.878921e-05 #> [10848,] 2.814257e-05 3.078172e-05 3.856388e-05 2.940212e-05 3.045989e-05 #> [10849,] 2.602577e-05 2.290033e-05 2.577783e-05 2.643380e-05 2.568834e-05 #> [10850,] 2.856219e-05 2.797933e-05 3.073771e-05 3.115535e-05 2.892575e-05 #> [10851,] 2.866267e-05 3.199767e-05 3.844530e-05 3.690222e-05 3.429596e-05 #> [10852,] 5.554820e-05 5.436149e-05 5.736204e-05 4.701084e-05 4.467767e-05 #> [10853,] 3.021699e-04 3.302329e-04 1.603928e-04 1.849211e-04 2.265857e-04 #> [10854,] 2.770747e-05 2.869180e-05 3.132947e-05 2.831078e-05 2.819992e-05 #> [10855,] 2.281608e-05 2.258981e-05 2.517623e-05 2.436237e-05 2.369398e-05 #> [10856,] 2.435104e-05 2.709468e-05 2.624085e-05 2.571496e-05 2.694902e-05 #> [10857,] 3.090260e-05 2.994676e-05 3.308174e-05 3.330833e-05 3.332104e-05 #> [10858,] 2.393332e-05 2.315916e-05 2.440530e-05 2.572327e-05 2.352599e-05 #> [10859,] 2.719934e-05 2.577647e-05 2.946079e-05 2.829981e-05 2.814387e-05 #> [10860,] 2.942038e-05 2.995771e-05 3.115339e-05 3.113612e-05 2.868437e-05 #> [10861,] 2.703640e-05 2.461340e-05 2.280398e-05 2.216292e-05 2.489112e-05 #> [10862,] 4.437542e-05 5.006871e-05 5.139329e-05 4.904507e-05 5.715522e-05 #> [10863,] 2.775749e-05 2.666034e-05 2.818992e-05 3.039150e-05 3.035313e-05 #> [10864,] 3.502222e-05 5.689741e-05 4.974177e-05 4.186688e-05 4.898614e-05 #> [10865,] 2.662736e-05 2.900821e-05 3.044071e-05 3.581523e-05 3.448339e-05 #> [10866,] 2.804846e-05 2.501670e-05 2.668010e-05 2.760101e-05 2.471961e-05 #> [10867,] 2.142543e-04 2.130269e-04 2.202078e-04 2.791774e-04 3.829661e-04 #> [10868,] 2.706031e-05 2.744435e-05 3.042280e-05 3.077310e-05 3.079395e-05 #> [10869,] 2.939708e-05 2.706480e-05 3.015965e-05 3.328015e-05 3.343089e-05 #> [10870,] 6.430996e-05 6.578512e-05 3.588310e-05 3.433783e-05 3.104880e-05 #> [10871,] 2.851316e-05 2.599163e-05 2.619939e-05 2.561871e-05 2.542038e-05 #> [10872,] 2.347933e-05 2.512161e-05 2.604258e-05 2.473874e-05 3.511459e-05 #> [10873,] 3.713340e-05 3.331468e-05 2.363414e-05 2.716235e-05 4.732372e-05 #> [10874,] 2.532460e-05 2.496882e-05 2.596915e-05 2.995683e-05 3.106992e-05 #> [10875,] 2.616747e-05 2.675072e-05 2.895708e-05 2.887207e-05 2.946909e-05 #> [10876,] 6.181073e-05 4.901045e-05 5.732465e-05 4.536989e-05 4.053081e-05 #> [10877,] 2.465386e-05 2.397234e-05 2.376315e-05 2.522753e-05 2.424776e-05 #> [10878,] 3.398542e-05 3.404486e-05 2.682138e-05 2.657703e-05 3.068052e-05 #> [10879,] 3.710357e-05 3.863793e-05 4.084305e-05 4.965503e-05 5.082946e-05 #> [10880,] 2.384321e-05 2.198872e-05 2.480948e-05 2.531659e-05 2.371791e-05 #> [10881,] 2.768474e-05 2.842043e-05 2.579293e-05 2.832986e-05 2.814693e-05 #> [10882,] 3.388101e-05 4.636169e-05 8.251061e-05 7.737333e-05 1.209085e-04 #> [10883,] 2.566421e-05 2.424209e-05 2.325191e-05 2.585615e-05 2.621887e-05 #> [10884,] 2.616307e-05 2.539665e-05 2.636586e-05 2.851898e-05 3.089856e-05 #> [10885,] 2.436976e-05 2.328091e-05 2.534718e-05 2.899053e-05 3.067423e-05 #> [10886,] 9.935405e-05 1.090250e-04 1.250247e-04 1.113118e-04 9.249976e-05 #> [10887,] 2.499883e-05 2.492407e-05 2.566226e-05 2.514330e-05 2.508777e-05 #> [10888,] 6.311612e-05 1.442424e-04 1.623588e-04 1.367671e-04 9.571774e-05 #> [10889,] 2.495267e-05 2.384877e-05 2.542152e-05 2.988428e-05 3.013804e-05 #> [10890,] 2.771510e-05 2.769023e-05 3.198951e-05 3.476289e-05 3.279151e-05 #> [10891,] 2.732289e-05 2.992222e-05 3.603178e-05 3.541624e-05 3.368957e-05 #> [10892,] 3.819685e-05 5.538025e-05 5.003257e-05 4.108566e-05 4.137450e-05 #> [10893,] 8.186188e-05 8.179205e-05 9.406667e-05 8.361232e-05 8.433565e-05 #> [10894,] 2.384688e-04 2.208875e-04 4.664824e-04 4.569442e-04 2.808542e-04 #> [10895,] 2.713823e-05 3.639760e-05 4.434021e-05 3.196970e-05 3.228331e-05 #> [10896,] 2.990138e-05 4.195697e-05 5.356019e-05 3.435565e-05 3.615591e-05 #> [10897,] 3.988303e-05 4.761139e-05 7.942502e-05 6.282947e-05 5.408437e-05 #> [10898,] 3.010687e-05 2.806530e-05 2.798905e-05 3.405952e-05 3.307778e-05 #> [10899,] 3.892065e-05 3.537938e-05 3.442202e-05 3.775149e-05 4.064869e-05 #> [10900,] 6.360756e-05 5.729448e-05 4.651728e-05 5.496120e-05 5.586427e-05 #> [10901,] 2.622232e-05 2.799626e-05 2.790890e-05 2.809034e-05 3.189278e-05 #> [10902,] 2.483803e-05 2.377141e-05 2.589084e-05 2.731432e-05 2.749044e-05 #> [10903,] 3.283992e-05 3.725911e-05 4.001969e-05 3.228756e-05 3.628013e-05 #> [10904,] 5.413059e-05 3.978390e-05 3.264393e-05 3.343265e-05 3.311254e-05 #> [10905,] 5.214888e-05 3.997530e-05 3.827871e-05 3.780834e-05 3.581999e-05 #> [10906,] 2.620184e-05 2.552376e-05 2.714510e-05 2.900229e-05 2.956901e-05 #> [10907,] 2.907994e-05 2.913785e-05 3.550824e-05 3.476712e-05 3.321644e-05 #> [10908,] 3.083960e-05 2.757980e-05 3.275802e-05 3.737158e-05 3.443097e-05 #> [10909,] 2.956377e-05 2.816858e-05 3.502482e-05 3.528851e-05 3.612137e-05 #> [10910,] 3.070810e-05 3.148209e-05 2.963293e-05 3.216055e-05 3.348569e-05 #> [10911,] 2.831165e-05 2.761700e-05 3.219595e-05 3.056125e-05 3.237804e-05 #> [10912,] 2.563324e-05 2.938623e-05 2.687369e-05 2.786615e-05 2.654005e-05 #> [10913,] 4.951001e-04 5.206918e-04 7.791897e-04 7.353433e-04 7.116355e-04 #> [10914,] 3.286082e-05 3.372079e-05 3.913305e-05 3.982464e-05 3.511607e-05 #> [10915,] 2.917917e-05 2.700683e-05 2.778333e-05 2.963362e-05 2.882773e-05 #> [10916,] 2.288318e-05 2.207963e-05 2.387169e-05 2.355738e-05 2.374636e-05 #> [10917,] 1.240100e-04 6.866384e-05 9.008247e-05 9.714366e-05 8.258152e-05 #> [10918,] 7.576382e-05 7.773348e-05 6.351003e-05 6.419944e-05 1.038610e-04 #> [10919,] 1.839814e-04 2.340893e-04 2.947188e-04 2.845405e-04 1.933341e-04 #> [10920,] 2.974295e-05 3.494259e-05 2.715998e-05 2.818430e-05 2.671308e-05 #> [10921,] 2.539171e-05 2.580594e-05 2.652497e-05 2.636308e-05 2.637164e-05 #> [10922,] 2.619375e-05 2.635696e-05 2.902370e-05 3.198760e-05 3.182956e-05 #> [10923,] 3.037461e-05 3.080360e-05 3.123924e-05 3.219373e-05 3.290535e-05 #> [10924,] 3.460058e-05 3.470205e-05 3.799401e-05 3.748711e-05 4.130534e-05 #> [10925,] 4.277228e-05 5.295618e-05 3.844299e-05 4.173031e-05 5.537776e-05 #> [10926,] 2.857468e-05 2.622281e-05 2.840068e-05 3.279774e-05 3.103861e-05 #> [10927,] 2.834778e-05 2.834543e-05 3.261263e-05 3.514312e-05 3.226819e-05 #> [10928,] 2.908492e-05 3.409244e-05 4.453956e-05 3.752287e-05 3.735070e-05 #> [10929,] 2.565890e-05 2.452835e-05 2.541266e-05 2.833132e-05 3.034879e-05 #> [10930,] 2.326752e-05 2.251074e-05 2.221908e-05 2.351862e-05 2.522753e-05 #> [10931,] 3.117991e-05 3.176589e-05 2.802612e-05 2.954134e-05 2.910182e-05 #> [10932,] 4.644236e-05 4.813149e-05 3.691932e-05 3.438035e-05 3.727856e-05 #> [10933,] 2.409367e-05 2.296330e-05 2.336923e-05 2.613515e-05 2.355631e-05 #> [10934,] 6.251771e-05 4.901650e-05 4.143722e-05 4.892832e-05 5.066500e-05 #> [10935,] 2.757616e-05 2.117264e-05 2.333494e-05 2.201125e-05 2.236610e-05 #> [10936,] 9.262385e-05 1.075617e-04 1.320481e-04 1.486186e-04 1.071157e-04 #> [10937,] 2.707769e-05 2.787747e-05 3.219763e-05 3.007295e-05 3.035157e-05 #> [10938,] 1.732404e-04 1.319738e-04 8.792194e-05 1.499352e-04 1.853490e-04 #> [10939,] 3.540920e-05 3.790654e-05 5.563036e-05 5.585475e-05 5.826309e-05 #> [10940,] 2.417423e-05 2.386346e-05 2.520726e-05 2.575591e-05 2.528326e-05 #> [10941,] 4.518368e-04 4.283551e-04 3.335775e-04 3.096947e-04 2.585724e-04 #> [10942,] 2.380854e-05 2.404347e-05 2.387630e-05 2.316171e-05 2.399870e-05 #> [10943,] 2.329986e-05 2.315431e-05 2.467332e-05 2.773795e-05 2.899110e-05 #> [10944,] 2.627761e-05 2.680729e-05 3.042813e-05 2.824677e-05 2.973034e-05 #> [10945,] 3.777243e-05 3.791243e-05 3.777566e-05 3.772760e-05 3.692483e-05 #> [10946,] 9.384861e-05 4.575933e-05 4.234445e-05 3.801059e-05 3.361498e-05 #> [10947,] 6.016558e-05 5.267451e-05 7.605138e-05 6.650200e-05 7.168104e-05 #> [10948,] 4.888093e-05 4.136503e-05 4.074766e-05 4.577172e-05 4.705907e-05 #> [10949,] 2.238449e-05 2.145310e-05 2.218306e-05 2.226925e-05 2.421450e-05 #> [10950,] 2.387726e-05 2.634142e-05 2.675107e-05 2.819211e-05 2.616073e-05 #> [10951,] 2.614508e-05 3.192136e-05 3.754945e-05 2.975436e-05 3.181687e-05 #> [10952,] 3.443499e-05 2.304144e-05 2.372321e-05 3.144670e-05 2.291596e-05 #> [10953,] 3.247835e-05 3.205033e-05 4.565020e-05 4.863116e-05 4.455397e-05 #> [10954,] 3.625230e-05 4.431684e-05 5.557698e-05 4.265372e-05 4.396026e-05 #> [10955,] 2.768400e-05 2.617187e-05 2.437767e-05 2.754869e-05 2.628044e-05 #> [10956,] 2.180523e-04 2.050784e-04 3.468634e-04 2.229809e-04 2.174563e-04 #> [10957,] 2.737489e-05 2.680323e-05 2.796848e-05 3.075126e-05 2.914312e-05 #> [10958,] 2.474475e-05 2.160428e-05 2.208422e-05 2.516313e-05 2.163168e-05 #> [10959,] 2.882810e-05 2.670529e-05 3.332576e-05 3.716872e-05 2.947852e-05 #> [10960,] 4.744096e-05 4.342759e-05 3.682601e-05 3.222275e-05 4.609631e-05 #> [10961,] 7.220366e-04 1.158351e-03 1.485281e-03 8.591074e-04 6.735606e-04 #> [10962,] 3.667388e-05 4.414418e-05 9.074223e-05 8.730183e-05 7.624601e-05 #> [10963,] 7.033184e-04 6.985929e-04 5.065408e-04 5.337717e-04 6.003929e-04 #> [10964,] 3.141034e-05 3.089622e-05 3.263410e-05 3.738597e-05 3.936879e-05 #> [10965,] 3.370584e-05 3.160659e-05 3.353422e-05 3.803760e-05 3.685546e-05 #> [10966,] 2.375721e-05 2.201348e-05 2.474132e-05 2.439212e-05 2.659808e-05 #> [10967,] 5.688323e-05 4.119660e-05 5.720288e-05 5.032808e-05 5.472988e-05 #> [10968,] 4.267663e-05 5.518421e-05 7.667367e-05 7.668462e-05 5.931807e-05 #> [10969,] 4.080287e-05 4.391237e-05 3.819659e-05 4.149450e-05 4.547015e-05 #> [10970,] 3.141698e-05 3.192502e-05 3.608704e-05 3.778675e-05 3.952626e-05 #> [10971,] 1.857369e-03 1.341361e-03 2.976386e-04 4.694977e-04 3.288926e-04 #> [10972,] 3.017250e-05 3.040938e-05 4.777235e-05 4.171547e-05 3.910448e-05 #> [10973,] 2.813227e-05 2.908655e-05 2.884765e-05 2.957315e-05 3.003994e-05 #> [10974,] 3.184324e-05 3.073193e-05 3.654524e-05 4.067719e-05 3.889913e-05 #> [10975,] 2.701309e-05 2.499103e-05 2.504379e-05 2.799352e-05 2.495675e-05 #> [10976,] 3.215901e-05 3.080096e-05 2.678715e-05 3.177416e-05 2.938875e-05 #> [10977,] 3.564302e-05 3.682419e-05 5.500309e-05 5.520962e-05 1.102461e-04 #> [10978,] 6.079961e-05 5.041540e-05 5.149072e-05 4.975171e-05 4.947691e-05 #> [10979,] 2.408411e-05 2.398951e-05 2.669494e-05 2.969882e-05 2.910116e-05 #> [10980,] 2.682387e-05 2.579882e-05 2.589898e-05 2.675152e-05 2.726241e-05 #> [10981,] 2.428597e-05 2.496506e-05 2.733909e-05 2.948082e-05 2.977528e-05 #> [10982,] 2.726649e-05 3.014995e-05 3.573415e-05 3.057703e-05 3.237726e-05 #> [10983,] 6.270720e-05 5.173273e-05 6.829448e-05 6.113831e-05 5.348470e-05 #> [10984,] 2.978660e-05 2.702939e-05 2.960439e-05 3.354713e-05 3.257391e-05 #> [10985,] 2.947606e-05 2.611211e-05 3.075290e-05 3.342993e-05 2.638971e-05 #> [10986,] 3.424293e-05 2.988953e-05 3.904160e-05 3.893907e-05 3.915270e-05 #> [10987,] 1.132899e-04 4.651879e-05 2.814264e-05 3.090448e-05 2.833290e-05 #> [10988,] 3.373912e-05 3.291672e-05 3.461886e-05 3.209387e-05 3.398074e-05 #> [10989,] 3.289139e-05 3.444002e-05 3.857396e-05 3.487382e-05 3.546231e-05 #> [10990,] 2.497552e-05 2.384577e-05 2.524886e-05 2.854632e-05 2.756957e-05 #> [10991,] 2.935795e-05 4.073544e-05 5.716881e-05 5.333437e-05 4.535829e-05 #> [10992,] 3.471869e-04 2.854685e-04 2.103004e-04 2.282283e-04 1.749730e-04 #> [10993,] 3.024647e-05 2.794446e-05 3.158812e-05 3.335177e-05 3.245248e-05 #> [10994,] 3.802257e-05 3.518301e-05 5.319575e-05 5.265637e-05 6.815813e-05 #> [10995,] 3.618557e-05 3.689899e-05 5.326354e-05 4.917463e-05 4.004655e-05 #> [10996,] 2.332825e-05 2.308615e-05 2.575897e-05 2.790458e-05 2.258442e-05 #> [10997,] 4.117360e-05 5.422152e-05 4.802863e-05 5.190366e-05 6.229269e-05 #> [10998,] 7.748259e-04 6.181943e-04 3.837991e-04 3.354045e-04 3.303680e-04 #> [10999,] 2.688457e-05 2.926350e-05 3.607404e-05 3.859855e-05 4.382978e-05 #> [11000,] 2.446461e-05 2.800704e-05 2.897652e-05 2.818366e-05 2.615650e-05 #> [11001,] 3.053047e-05 2.838171e-05 3.088901e-05 3.425840e-05 3.380981e-05 #> [11002,] 2.693579e-05 2.713157e-05 3.014915e-05 3.006960e-05 3.146298e-05 #> [11003,] 3.344610e-05 4.403008e-05 3.331059e-05 3.158021e-05 3.058090e-05 #> [11004,] 2.233539e-04 2.686283e-04 2.046584e-04 2.567507e-04 3.467228e-04 #> [11005,] 3.742330e-05 3.269357e-05 5.276289e-05 5.085448e-05 5.837906e-05 #> [11006,] 4.656850e-05 4.305990e-05 5.785642e-05 6.111094e-05 6.779329e-05 #> [11007,] 3.965475e-05 3.885564e-05 3.203220e-05 3.301158e-05 3.146852e-05 #> [11008,] 1.034182e-04 7.896924e-05 6.527519e-05 8.898482e-05 1.068676e-04 #> [11009,] 4.527245e-05 6.056636e-05 6.056529e-05 6.134234e-05 4.808133e-05 #> [11010,] 2.519128e-05 2.169794e-05 2.472152e-05 2.475734e-05 2.383554e-05 #> [11011,] 4.076737e-05 7.372619e-05 1.206890e-04 1.147705e-04 1.013648e-04 #> [11012,] 3.258751e-05 3.908468e-05 5.853091e-05 5.038134e-05 4.147202e-05 #> [11013,] 1.789020e-03 1.717635e-03 1.363048e-03 1.095344e-03 1.021328e-03 #> [11014,] 3.410362e-05 5.356980e-05 5.552403e-05 5.177177e-05 5.036792e-05 #> [11015,] 3.465038e-05 3.630553e-05 3.619261e-05 3.559972e-05 3.388724e-05 #> [11016,] 6.108303e-05 7.124611e-05 1.443931e-04 1.323449e-04 9.157030e-05 #> [11017,] 3.148070e-04 1.049217e-04 4.558603e-05 4.193807e-05 3.826351e-05 #> [11018,] 5.509232e-04 5.367548e-04 5.376751e-04 4.694956e-04 2.633944e-04 #> [11019,] 3.034827e-05 2.895764e-05 3.274847e-05 3.236302e-05 3.245945e-05 #> [11020,] 3.051533e-05 3.054719e-05 3.258277e-05 3.398934e-05 3.247852e-05 #> [11021,] 6.051986e-05 4.190252e-05 5.942659e-05 4.615061e-05 3.903372e-05 #> [11022,] 2.865573e-05 2.687354e-05 3.289433e-05 3.144479e-05 3.364117e-05 #> [11023,] 2.791545e-05 2.756269e-05 2.886516e-05 2.992178e-05 2.959907e-05 #> [11024,] 4.963347e-05 4.632482e-05 6.818385e-05 7.002988e-05 4.681364e-05 #> [11025,] 2.886976e-05 3.221734e-05 3.656299e-05 3.488200e-05 3.144274e-05 #> [11026,] 2.724339e-05 2.753620e-05 3.035996e-05 3.179313e-05 3.316123e-05 #> [11027,] 2.662211e-05 2.810201e-05 3.532567e-05 3.420353e-05 3.145877e-05 #> [11028,] 2.397617e-05 2.537154e-05 2.471091e-05 2.401830e-05 2.498752e-05 #> [11029,] 5.359512e-05 5.838938e-05 4.494024e-05 4.603227e-05 5.133636e-05 #> [11030,] 4.022999e-05 3.774918e-05 4.987963e-05 5.393067e-05 4.992211e-05 #> [11031,] 2.892630e-05 2.754245e-05 2.843992e-05 3.148637e-05 2.820735e-05 #> [11032,] 2.855882e-05 3.204884e-05 4.163101e-05 4.151599e-05 4.476547e-05 #> [11033,] 3.027619e-05 3.643957e-05 4.280872e-05 3.749705e-05 3.513367e-05 #> [11034,] 2.813932e-05 2.829921e-05 3.110182e-05 2.928101e-05 3.036520e-05 #> [11035,] 4.294931e-05 3.815791e-05 2.855454e-05 3.284924e-05 3.727040e-05 #> [11036,] 2.917622e-05 3.305264e-05 4.681658e-05 3.203677e-05 3.564037e-05 #> [11037,] 2.133857e-03 2.048946e-03 1.776175e-03 1.909744e-03 1.386254e-03 #> [11038,] 1.428172e-04 2.747881e-04 4.066593e-04 2.695280e-04 1.215910e-04 #> [11039,] 3.481662e-05 3.794508e-05 5.095103e-05 4.456482e-05 3.985964e-05 #> [11040,] 3.247088e-05 3.685107e-05 3.414230e-05 3.314859e-05 3.040447e-05 #> [11041,] 2.492095e-05 2.581526e-05 2.858634e-05 3.165875e-05 3.455891e-05 #> [11042,] 7.112785e-05 7.181816e-05 1.278370e-04 1.447934e-04 1.052445e-04 #> [11043,] 3.594111e-05 3.290911e-05 4.272940e-05 4.184374e-05 3.824762e-05 #> [11044,] 9.961199e-05 1.005196e-04 7.538973e-05 7.956627e-05 5.902184e-05 #> [11045,] 2.826022e-05 2.964014e-05 3.016086e-05 3.187146e-05 3.432729e-05 #> [11046,] 6.738297e-05 5.393830e-05 4.909762e-05 5.981164e-05 5.269205e-05 #> [11047,] 2.142178e-05 1.998684e-05 2.150076e-05 2.122460e-05 2.147041e-05 #> [11048,] 4.972607e-05 5.026630e-05 4.083987e-05 3.872262e-05 4.360834e-05 #> [11049,] 8.562355e-05 4.297956e-05 3.779061e-05 4.035261e-05 4.094801e-05 #> [11050,] 2.385047e-05 2.440821e-05 3.184974e-05 2.552096e-05 2.544242e-05 #> [11051,] 4.399009e-05 5.872811e-05 8.271491e-05 7.575547e-05 6.997903e-05 #> [11052,] 2.346067e-05 2.424061e-05 2.594097e-05 2.934599e-05 2.809065e-05 #> [11053,] 3.161096e-05 2.961901e-05 3.761821e-05 3.934739e-05 3.897184e-05 #> [11054,] 5.156764e-05 4.997274e-05 5.610841e-05 6.227774e-05 5.749351e-05 #> [11055,] 3.260231e-05 3.911574e-05 4.919296e-05 6.581344e-05 8.800464e-05 #> [11056,] 2.861376e-05 2.762718e-05 2.954098e-05 3.242246e-05 3.335663e-05 #> [11057,] 2.221035e-05 2.052542e-05 2.398384e-05 2.300156e-05 2.245627e-05 #> [11058,] 1.090547e-04 2.691140e-04 3.120018e-04 3.004406e-04 5.181447e-04 #> [11059,] 2.077457e-04 1.576972e-04 2.253209e-04 1.798063e-04 1.578098e-04 #> [11060,] 4.933427e-05 4.394927e-05 6.487739e-05 7.389363e-05 7.964880e-05 #> [11061,] 3.941292e-05 3.639779e-05 3.942089e-05 4.073224e-05 3.795247e-05 #> [11062,] 3.165485e-05 3.552108e-05 4.015865e-05 3.513515e-05 3.591928e-05 #> [11063,] 7.511130e-05 8.454580e-05 7.876987e-05 9.053517e-05 6.486477e-05 #> [11064,] 3.579803e-05 4.123624e-05 6.098568e-05 4.372876e-05 6.649862e-05 #> [11065,] 2.871176e-05 2.792887e-05 3.040207e-05 3.321618e-05 3.069161e-05 #> [11066,] 1.037543e-04 1.085114e-04 8.270070e-05 9.536273e-05 1.048668e-04 #> [11067,] 2.835458e-05 2.736917e-05 2.778505e-05 2.995682e-05 2.997290e-05 #> [11068,] 5.233546e-05 1.369189e-04 2.383608e-04 1.648285e-04 2.267153e-04 #> [11069,] 1.128429e-04 1.422861e-04 2.420329e-04 4.689324e-04 4.078460e-04 #> [11070,] 2.690234e-05 2.771714e-05 2.911956e-05 2.957656e-05 3.716851e-05 #> [11071,] 4.689462e-05 4.716026e-05 3.919181e-05 4.847841e-05 4.668673e-05 #> [11072,] 5.953919e-05 4.620701e-05 7.547330e-05 6.464028e-05 5.326646e-05 #> [11073,] 2.981298e-05 3.424172e-05 4.125235e-05 3.519126e-05 3.430328e-05 #> [11074,] 2.905653e-05 3.254766e-05 3.848694e-05 3.264925e-05 3.372945e-05 #> [11075,] 2.823038e-05 2.859485e-05 3.092216e-05 3.311415e-05 3.097745e-05 #> [11076,] 2.779317e-05 2.865968e-05 3.189492e-05 3.341313e-05 3.474981e-05 #> [11077,] 3.089059e-05 2.554257e-05 2.417203e-05 3.107457e-05 2.801493e-05 #> [11078,] 2.743523e-05 2.492999e-05 2.483947e-05 2.908874e-05 3.036276e-05 #> [11079,] 3.434906e-05 3.822302e-05 3.839590e-05 3.779059e-05 3.658630e-05 #> [11080,] 5.784566e-05 6.202957e-05 7.563139e-05 6.940223e-05 5.369131e-05 #> [11081,] 2.105954e-04 1.691651e-04 1.786229e-04 1.872759e-04 1.431237e-04 #> [11082,] 2.961600e-05 2.808667e-05 3.053733e-05 3.616683e-05 3.493101e-05 #> [11083,] 2.660493e-05 2.880346e-05 3.622944e-05 3.031613e-05 3.124743e-05 #> [11084,] 2.059912e-03 1.029809e-03 2.124660e-04 5.959695e-05 6.486140e-05 #> [11085,] 2.876923e-05 3.248991e-05 3.632036e-05 3.618828e-05 3.414409e-05 #> [11086,] 3.595914e-05 3.638906e-05 2.913431e-05 2.925325e-05 3.190713e-05 #> [11087,] 2.790407e-05 2.790124e-05 2.671413e-05 2.836425e-05 2.730081e-05 #> [11088,] 2.986330e-05 3.305455e-05 3.534721e-05 3.492391e-05 3.154409e-05 #> [11089,] 2.686675e-05 2.868714e-05 3.023963e-05 2.904246e-05 3.102944e-05 #> [11090,] 2.294228e-05 2.417435e-05 2.717713e-05 2.542140e-05 2.470424e-05 #> [11091,] 3.334672e-05 3.573337e-05 3.674080e-05 3.993562e-05 3.820301e-05 #> [11092,] 3.208521e-05 3.192161e-05 3.896140e-05 5.697986e-05 8.453920e-05 #> [11093,] 2.309075e-05 2.300608e-05 2.340030e-05 2.392208e-05 2.361892e-05 #> [11094,] 3.908778e-05 4.375616e-05 3.876465e-05 3.782918e-05 3.742327e-05 #> [11095,] 2.687508e-05 3.283775e-05 7.579681e-05 6.075375e-05 4.096639e-05 #> [11096,] 1.792614e-04 3.141311e-04 2.958628e-04 2.069711e-04 1.742015e-04 #> [11097,] 2.440456e-05 2.483074e-05 2.516829e-05 2.640821e-05 2.511400e-05 #> [11098,] 4.045576e-05 3.988680e-05 3.218801e-05 3.101569e-05 3.128428e-05 #> [11099,] 4.418526e-05 3.975036e-05 4.897331e-05 4.722770e-05 4.960587e-05 #> [11100,] 2.401192e-04 1.433885e-04 2.087743e-04 2.063855e-04 1.347774e-04 #> [11101,] 2.847160e-05 2.782422e-05 3.260759e-05 3.438890e-05 2.986788e-05 #> [11102,] 2.274800e-05 2.195308e-05 2.414193e-05 2.409394e-05 2.566834e-05 #> [11103,] 2.937768e-05 3.009835e-05 3.610650e-05 3.296179e-05 3.674927e-05 #> [11104,] 2.336663e-05 2.358462e-05 2.623215e-05 2.536388e-05 2.362837e-05 #> [11105,] 7.436804e-05 2.568735e-05 2.740052e-05 2.584217e-05 3.020967e-05 #> [11106,] 2.508516e-05 2.840525e-05 2.627725e-05 2.654353e-05 2.485433e-05 #> [11107,] 2.611041e-05 2.441252e-05 2.955118e-05 3.214351e-05 3.643338e-05 #> [11108,] 2.559737e-05 2.569443e-05 2.996060e-05 3.015985e-05 3.124499e-05 #> [11109,] 3.461422e-05 3.625593e-05 4.995772e-05 5.309698e-05 4.263984e-05 #> [11110,] 1.380392e-03 1.658858e-03 1.513561e-03 1.335396e-03 1.205887e-03 #> [11111,] 3.037310e-05 3.249289e-05 3.896703e-05 3.843031e-05 3.582252e-05 #> [11112,] 3.265010e-05 4.275941e-05 3.518611e-05 3.435807e-05 3.141318e-05 #> [11113,] 2.636000e-05 2.509690e-05 2.770990e-05 2.986533e-05 2.947369e-05 #> [11114,] 4.385472e-05 3.938259e-05 4.004447e-05 4.625405e-05 4.251702e-05 #> [11115,] 4.093336e-05 2.988690e-05 4.587693e-05 4.945751e-05 4.153580e-05 #> [11116,] 4.140744e-05 4.873767e-05 4.205499e-05 4.237905e-05 5.535236e-05 #> [11117,] 2.764009e-05 2.542749e-05 2.734494e-05 3.150514e-05 3.196038e-05 #> [11118,] 3.267189e-05 3.459097e-05 3.177902e-05 3.393869e-05 3.431894e-05 #> [11119,] 3.241078e-05 3.131695e-05 3.627897e-05 3.603368e-05 3.346895e-05 #> [11120,] 3.145848e-05 2.940331e-05 3.756402e-05 3.788377e-05 3.595986e-05 #> [11121,] 3.067375e-05 2.784468e-05 3.522139e-05 3.458582e-05 3.033460e-05 #> [11122,] 4.643475e-05 3.882215e-05 4.016371e-05 5.173679e-05 5.108734e-05 #> [11123,] 5.113950e-05 4.265348e-05 5.102628e-05 4.383514e-05 1.014976e-04 #> [11124,] 3.042476e-05 3.857834e-05 5.416369e-05 3.733827e-05 5.908009e-05 #> [11125,] 6.221313e-05 6.052307e-05 6.965770e-05 8.919238e-05 8.666894e-05 #> [11126,] 3.125199e-05 2.779914e-05 3.388524e-05 3.913495e-05 3.535827e-05 #> [11127,] 4.431978e-05 6.443907e-05 5.610791e-05 5.712152e-05 5.798768e-05 #> [11128,] 4.970029e-05 5.202301e-05 8.129508e-05 1.058328e-04 8.504581e-05 #> [11129,] 1.681879e-04 1.673369e-04 1.104126e-04 7.823541e-05 9.179352e-05 #> [11130,] 4.725218e-04 3.131723e-04 5.283473e-05 5.889424e-05 1.226239e-04 #> [11131,] 5.083574e-05 6.487038e-05 6.354203e-05 4.388325e-05 4.785133e-05 #> [11132,] 2.594848e-05 2.263355e-05 2.366527e-05 2.609299e-05 2.396457e-05 #> [11133,] 2.943877e-05 2.785703e-05 2.794442e-05 3.264443e-05 3.259566e-05 #> [11134,] 5.584732e-05 4.090666e-05 3.587356e-05 3.572237e-05 3.334857e-05 #> [11135,] 2.310854e-05 2.152474e-05 2.336162e-05 2.507992e-05 2.410620e-05 #> [11136,] 2.521935e-05 2.614655e-05 2.966996e-05 2.876400e-05 2.924057e-05 #> [11137,] 2.902339e-05 3.557110e-05 4.442605e-05 3.837354e-05 3.734709e-05 #> [11138,] 2.457099e-05 2.315833e-05 2.486617e-05 2.405308e-05 2.371577e-05 #> [11139,] 2.945513e-05 2.902429e-05 2.896777e-05 3.303550e-05 3.771834e-05 #> [11140,] 4.366520e-05 4.839517e-05 4.947938e-05 5.406547e-05 5.323684e-05 #> [11141,] 2.450545e-04 3.238876e-04 2.196374e-04 1.923954e-04 2.490670e-04 #> [11142,] 2.188036e-05 2.049464e-05 2.335966e-05 2.311704e-05 2.218613e-05 #> [11143,] 3.869403e-05 4.481984e-05 4.589205e-05 5.126513e-05 4.938885e-05 #> [11144,] 2.587142e-05 2.287234e-05 2.346301e-05 2.483239e-05 2.391579e-05 #> [11145,] 2.517195e-05 2.349799e-05 2.457479e-05 2.824563e-05 2.589788e-05 #> [11146,] 2.360777e-05 2.709950e-05 3.081671e-05 3.287041e-05 3.428378e-05 #> [11147,] 3.095059e-05 3.299726e-05 4.280030e-05 3.464153e-05 3.331285e-05 #> [11148,] 3.060256e-05 3.438775e-05 2.759874e-05 2.766115e-05 2.644065e-05 #> [11149,] 2.456800e-05 2.285104e-05 2.359422e-05 2.485842e-05 2.497838e-05 #> [11150,] 5.074298e-04 3.686818e-04 2.296829e-04 3.201575e-04 2.511169e-04 #> [11151,] 4.858252e-05 3.901236e-05 5.008716e-05 1.860268e-04 2.129931e-04 #> [11152,] 3.379342e-05 3.652047e-05 3.450201e-05 3.310981e-05 3.360446e-05 #> [11153,] 6.171160e-05 7.283356e-05 5.824793e-05 5.100450e-05 4.721781e-05 #> [11154,] 2.915894e-05 2.856750e-05 2.853520e-05 3.272322e-05 3.105768e-05 #> [11155,] 2.339518e-05 2.289120e-05 2.266639e-05 2.410461e-05 2.395955e-05 #> [11156,] 3.247763e-05 3.393447e-05 3.152124e-05 3.004586e-05 3.295368e-05 #> [11157,] 3.940586e-05 4.242757e-05 3.285280e-05 3.730525e-05 4.242066e-05 #> [11158,] 5.296497e-05 4.572676e-05 4.935900e-05 5.295781e-05 4.754327e-05 #> [11159,] 2.825848e-05 2.595690e-05 3.237438e-05 3.243158e-05 2.881383e-05 #> [11160,] 2.933323e-05 3.066002e-05 3.063430e-05 3.008456e-05 2.984704e-05 #> [11161,] 3.755599e-05 3.161106e-05 3.039709e-05 3.123482e-05 3.343967e-05 #> [11162,] 5.769703e-05 4.010985e-05 5.969942e-05 8.497450e-05 1.012677e-04 #> [11163,] 1.407714e-04 8.116127e-05 6.269280e-05 6.377711e-05 6.894626e-05 #> [11164,] 2.599854e-05 2.614136e-05 2.314216e-05 2.651418e-05 2.581187e-05 #> [11165,] 2.819839e-04 2.336132e-04 1.718474e-04 1.495333e-04 1.140675e-04 #> [11166,] 2.557399e-05 2.979877e-05 3.663957e-05 3.223713e-05 3.031939e-05 #> [11167,] 2.975764e-05 2.706893e-05 3.199556e-05 3.815095e-05 3.787697e-05 #> [11168,] 5.671685e-05 8.003310e-05 6.017831e-05 6.251988e-05 8.946050e-05 #> [11169,] 3.912083e-05 3.878901e-05 3.154484e-05 3.234573e-05 3.287230e-05 #> [11170,] 3.822319e-05 3.941579e-05 4.075549e-05 4.012090e-05 3.743323e-05 #> [11171,] 2.922574e-05 2.862419e-05 2.430962e-05 2.539102e-05 2.717470e-05 #> [11172,] 7.624238e-05 1.001331e-04 6.119767e-05 5.224126e-05 5.802087e-05 #> [11173,] 3.231187e-05 3.109013e-05 3.560709e-05 4.428573e-05 5.157849e-05 #> [11174,] 2.902807e-05 3.229130e-05 4.088083e-05 4.181876e-05 4.302944e-05 #> [11175,] 3.493045e-05 3.308473e-05 3.268380e-05 3.251605e-05 3.472177e-05 #> [11176,] 2.585301e-05 2.531915e-05 2.652737e-05 2.924424e-05 2.892591e-05 #> [11177,] 2.431077e-05 2.719443e-05 3.105574e-05 3.223977e-05 2.931904e-05 #> [11178,] 3.107992e-05 3.514245e-05 4.284337e-05 3.648371e-05 3.413344e-05 #> [11179,] 2.474979e-05 2.425074e-05 2.462741e-05 2.699227e-05 2.995240e-05 #> [11180,] 2.390365e-05 2.225200e-05 2.304092e-05 2.382797e-05 2.363252e-05 #> [11181,] 2.624905e-05 2.736109e-05 3.311491e-05 3.149222e-05 3.012703e-05 #> [11182,] 2.900144e-05 3.553584e-05 4.534350e-05 4.031310e-05 5.342732e-05 #> [11183,] 7.036711e-05 7.031234e-05 5.199715e-05 4.991829e-05 5.184239e-05 #> [11184,] 7.717511e-05 8.654771e-05 8.735614e-05 9.417578e-05 1.073781e-04 #> [11185,] 2.485005e-05 2.435807e-05 2.420588e-05 2.662771e-05 2.982101e-05 #> [11186,] 3.532671e-05 4.082825e-05 2.866313e-05 3.010849e-05 3.129428e-05 #> [11187,] 2.850806e-05 2.555554e-05 2.912029e-05 3.308683e-05 2.780092e-05 #> [11188,] 3.977380e-05 4.032824e-05 5.314896e-05 4.594156e-05 4.148396e-05 #> [11189,] 2.659699e-05 3.135612e-05 3.663617e-05 3.565945e-05 3.566701e-05 #> [11190,] 9.997260e-05 8.639531e-05 5.107359e-05 5.878925e-05 7.112065e-05 #> [11191,] 2.414127e-05 2.651360e-05 2.566578e-05 2.557622e-05 2.566704e-05 #> [11192,] 2.657957e-05 2.463020e-05 2.856912e-05 3.010733e-05 2.693045e-05 #> [11193,] 3.634596e-05 3.728000e-05 4.530018e-05 4.477535e-05 4.007466e-05 #> [11194,] 3.732909e-05 4.793179e-05 5.712455e-05 5.597943e-05 5.992270e-05 #> [11195,] 2.795593e-04 1.993694e-04 5.338713e-04 6.605555e-04 5.855575e-04 #> [11196,] 2.867530e-05 2.895254e-05 3.606685e-05 3.185041e-05 3.286832e-05 #> [11197,] 9.171718e-05 8.318597e-05 7.805516e-05 7.649795e-05 1.340313e-04 #> [11198,] 2.958593e-05 3.805722e-05 4.812654e-05 3.434443e-05 3.422784e-05 #> [11199,] 2.411227e-05 2.315132e-05 2.395141e-05 2.506496e-05 2.564230e-05 #> [11200,] 6.113033e-05 5.416508e-05 5.250909e-05 5.989520e-05 4.882442e-05 #> [11201,] 5.703589e-05 3.634280e-05 4.345650e-05 4.871749e-05 6.497066e-05 #> [11202,] 2.605827e-05 2.759807e-05 3.167291e-05 3.055940e-05 2.999170e-05 #> [11203,] 2.678282e-05 2.790643e-05 2.917058e-05 3.277642e-05 3.445784e-05 #> [11204,] 5.578104e-05 4.666232e-05 3.893055e-05 4.462343e-05 4.569314e-05 #> [11205,] 2.799195e-05 2.726538e-05 3.093168e-05 2.993470e-05 2.993850e-05 #> [11206,] 1.417027e-04 1.365491e-04 1.144040e-04 1.088928e-04 1.157795e-04 #> [11207,] 3.281131e-05 3.665137e-05 4.399507e-05 4.344384e-05 4.220320e-05 #> [11208,] 5.182898e-05 6.160388e-05 8.409435e-05 7.128252e-05 6.345770e-05 #> [11209,] 3.154202e-05 2.852010e-05 2.922741e-05 3.324522e-05 3.381146e-05 #> [11210,] 6.163702e-04 6.336225e-04 5.985948e-04 5.933438e-04 6.182826e-04 #> [11211,] 3.859061e-05 5.029461e-05 8.417247e-05 9.296259e-05 9.925861e-05 #> [11212,] 3.194788e-05 4.164604e-05 5.191187e-05 4.211909e-05 4.296053e-05 #> [11213,] 2.779223e-05 2.928706e-05 2.763289e-05 3.201553e-05 2.836134e-05 #> [11214,] 3.584922e-05 4.376191e-05 4.346736e-05 3.936077e-05 4.642976e-05 #> [11215,] 3.134057e-05 2.762383e-05 3.430091e-05 3.602532e-05 3.176548e-05 #> [11216,] 2.788373e-05 2.497370e-05 3.546775e-05 3.168432e-05 3.027821e-05 #> [11217,] 2.732658e-05 2.826783e-05 3.094449e-05 3.269912e-05 3.186557e-05 #> [11218,] 2.938271e-05 2.838239e-05 3.166500e-05 3.565324e-05 3.491315e-05 #> [11219,] 2.494177e-05 2.801427e-05 3.033697e-05 3.020244e-05 3.162451e-05 #> [11220,] 2.435252e-04 2.344987e-04 2.294516e-04 1.669119e-04 1.412875e-04 #> [11221,] 7.490802e-05 3.086729e-04 8.499564e-05 1.125350e-04 1.445327e-04 #> [11222,] 2.681075e-05 2.607280e-05 2.673572e-05 2.593923e-05 2.722845e-05 #> [11223,] 2.342253e-05 2.394153e-05 2.840066e-05 2.875846e-05 2.934612e-05 #> [11224,] 3.099737e-05 3.370438e-05 3.301019e-05 3.258943e-05 3.313272e-05 #> [11225,] 2.692351e-05 3.146907e-05 3.093112e-05 3.012333e-05 2.768607e-05 #> [11226,] 2.677178e-05 2.623325e-05 2.681119e-05 2.823089e-05 2.661580e-05 #> [11227,] 3.879087e-05 3.443670e-05 2.968227e-05 3.504229e-05 3.652967e-05 #> [11228,] 4.682413e-05 4.731483e-05 7.487638e-05 6.757889e-05 7.164360e-05 #> [11229,] 2.666328e-05 3.395668e-05 3.172709e-05 3.451879e-05 4.363343e-05 #> [11230,] 2.842948e-05 2.962426e-05 3.121974e-05 2.968757e-05 3.049253e-05 #> [11231,] 2.860646e-05 3.385416e-05 3.805180e-05 3.053770e-05 3.248264e-05 #> [11232,] 3.009876e-05 2.879214e-05 3.114939e-05 3.425723e-05 3.237550e-05 #> [11233,] 3.230967e-05 2.937208e-05 4.301351e-05 3.657775e-05 3.582007e-05 #> [11234,] 3.278169e-05 3.359301e-05 3.047711e-05 2.949692e-05 3.079893e-05 #> [11235,] 2.822519e-05 2.731562e-05 3.239217e-05 3.477896e-05 3.412602e-05 #> [11236,] 3.527834e-05 3.930437e-05 4.934316e-05 3.824466e-05 3.765991e-05 #> [11237,] 2.775315e-05 2.419743e-05 2.611194e-05 2.969979e-05 2.728046e-05 #> [11238,] 3.761363e-05 4.154801e-05 4.076376e-05 3.876178e-05 3.642465e-05 #> [11239,] 2.612894e-05 2.604970e-05 3.062275e-05 3.439397e-05 3.153936e-05 #> [11240,] 4.593918e-05 4.737662e-05 7.860399e-05 7.208414e-05 5.819702e-05 #> [11241,] 7.510436e-05 1.133494e-04 1.215899e-04 8.355210e-05 6.845644e-05 #> [11242,] 2.693690e-05 2.670026e-05 2.637305e-05 2.969554e-05 2.982348e-05 #> [11243,] 3.738309e-05 3.124484e-05 3.542016e-05 4.439339e-05 4.246194e-05 #> [11244,] 7.682038e-05 9.633848e-05 9.970595e-05 8.534374e-05 6.764627e-05 #> [11245,] 2.834178e-05 2.617520e-05 2.675307e-05 3.141729e-05 3.237471e-05 #> [11246,] 1.393336e-03 1.075143e-03 6.443222e-04 6.438664e-04 3.898098e-04 #> [11247,] 2.934563e-05 2.719129e-05 2.719869e-05 2.957623e-05 2.778555e-05 #> [11248,] 1.405412e-03 1.033799e-03 9.046822e-04 1.068522e-03 6.308654e-04 #> [11249,] 2.463020e-04 1.901761e-04 1.009752e-04 1.761366e-04 2.598565e-04 #> [11250,] 2.517522e-05 2.476590e-05 2.726331e-05 2.883130e-05 2.781248e-05 #> [11251,] 5.283905e-05 6.123041e-05 6.418836e-05 6.598274e-05 6.024174e-05 #> [11252,] 9.477811e-05 7.669863e-05 4.297067e-05 5.808319e-05 5.737695e-05 #> [11253,] 2.964404e-05 2.755055e-05 3.078576e-05 3.173127e-05 3.109951e-05 #> [11254,] 1.918899e-03 1.494483e-03 8.655135e-04 1.097810e-03 6.945117e-04 #> [11255,] 1.126936e-04 6.921504e-05 1.248523e-04 1.826951e-04 1.115145e-04 #> [11256,] 1.888561e-04 9.198263e-05 5.689714e-05 8.146394e-05 6.262613e-05 #> [11257,] 4.276829e-05 3.984933e-05 4.198112e-05 4.167756e-05 4.261273e-05 #> [11258,] 1.215950e-04 1.992781e-04 3.103401e-04 2.168947e-04 1.407598e-04 #> [11259,] 1.307374e-04 2.425098e-04 2.533245e-04 2.687634e-04 1.420189e-04 #> [11260,] 3.053747e-05 3.154214e-05 4.090949e-05 4.249548e-05 3.927838e-05 #> [11261,] 2.676532e-05 2.295945e-05 2.711901e-05 2.589042e-05 2.554420e-05 #> [11262,] 4.559870e-05 4.684408e-05 3.397436e-05 4.266842e-05 4.813957e-05 #> [11263,] 2.472559e-05 2.599217e-05 2.836019e-05 2.869769e-05 3.002899e-05 #> [11264,] 9.116887e-05 8.817787e-05 3.052156e-05 3.261141e-05 3.330156e-05 #> [11265,] 2.888649e-05 2.556250e-05 2.498459e-05 2.909427e-05 2.884778e-05 #> [11266,] 1.856835e-03 1.902867e-03 9.524030e-04 8.245331e-04 6.080930e-04 #> [11267,] 3.280887e-05 3.591996e-05 4.022019e-05 4.086162e-05 3.785211e-05 #> [11268,] 2.368954e-05 2.082450e-05 2.355140e-05 2.522638e-05 2.324424e-05 #> [11269,] 3.451934e-05 3.151723e-05 3.730865e-05 3.758118e-05 3.011241e-05 #> [11270,] 2.606576e-05 2.590346e-05 2.998629e-05 2.910619e-05 3.077962e-05 #> [11271,] 2.908812e-05 2.814261e-05 2.874944e-05 2.883280e-05 3.052402e-05 #> [11272,] 2.539612e-05 2.613165e-05 2.952203e-05 3.199908e-05 3.064191e-05 #> [11273,] 4.212103e-05 3.673316e-05 4.840548e-05 4.424572e-05 4.984809e-05 #> [11274,] 6.779783e-05 7.870329e-05 8.057849e-05 8.501299e-05 8.110907e-05 #> [11275,] 3.906791e-05 3.331656e-05 3.219452e-05 3.192789e-05 3.098419e-05 #> [11276,] 3.902241e-05 3.684339e-05 3.602399e-05 3.891754e-05 3.638481e-05 #> [11277,] 3.885868e-05 3.529347e-05 4.973907e-05 6.308624e-05 6.644418e-05 #> [11278,] 2.963750e-05 3.054099e-05 3.584811e-05 3.311863e-05 3.259676e-05 #> [11279,] 2.947828e-05 5.146126e-05 6.951627e-05 4.530796e-05 4.787343e-05 #> [11280,] 8.204446e-05 9.010467e-05 1.323852e-04 1.520774e-04 1.016241e-04 #> [11281,] 2.977164e-05 2.862977e-05 3.055863e-05 3.056302e-05 2.825122e-05 #> [11282,] 3.246409e-05 3.450589e-05 3.861369e-05 3.835162e-05 3.568129e-05 #> [11283,] 3.470534e-05 4.158553e-05 3.921962e-05 3.369793e-05 3.412949e-05 #> [11284,] 3.811912e-05 3.392669e-05 4.404004e-05 4.106780e-05 4.103985e-05 #> [11285,] 2.536305e-05 2.404433e-05 2.475402e-05 2.550331e-05 2.412097e-05 #> [11286,] 3.797319e-05 3.038119e-05 3.199490e-05 3.152542e-05 2.860366e-05 #> [11287,] 7.178986e-05 7.360048e-05 6.181270e-05 6.809468e-05 7.207898e-05 #> [11288,] 2.866964e-05 3.050242e-05 4.166827e-05 4.271336e-05 4.104386e-05 #> [11289,] 1.224588e-03 1.159556e-03 1.034962e-03 1.184620e-03 7.132299e-04 #> [11290,] 7.424472e-04 9.450679e-04 5.843492e-04 6.389472e-04 5.646276e-04 #> [11291,] 2.689918e-05 2.756439e-05 3.072920e-05 3.201545e-05 3.123876e-05 #> [11292,] 2.927435e-05 3.003515e-05 3.989434e-05 4.133782e-05 4.257836e-05 #> [11293,] 3.099321e-05 2.841557e-05 3.032290e-05 3.289607e-05 3.110604e-05 #> [11294,] 2.551074e-05 2.469637e-05 2.620559e-05 2.867875e-05 2.833320e-05 #> [11295,] 2.452999e-05 2.458847e-05 2.975366e-05 2.938203e-05 2.926080e-05 #> [11296,] 2.327318e-05 2.528293e-05 2.535632e-05 2.484650e-05 2.625736e-05 #> [11297,] 3.023173e-05 2.971508e-05 2.990775e-05 2.897949e-05 3.141059e-05 #> [11298,] 2.842596e-05 2.852686e-05 2.816539e-05 3.034193e-05 2.627951e-05 #> [11299,] 2.282623e-05 2.182565e-05 2.192704e-05 2.114577e-05 2.160550e-05 #> [11300,] 2.662555e-05 2.788827e-05 2.807097e-05 2.999035e-05 2.910376e-05 #> [11301,] 2.901066e-05 2.827062e-05 3.910079e-05 4.414821e-05 4.316772e-05 #> [11302,] 7.795156e-05 7.897496e-05 1.170724e-04 8.749490e-05 6.991576e-05 #> [11303,] 3.037017e-05 2.963257e-05 3.431742e-05 3.141661e-05 3.068405e-05 #> [11304,] 2.773933e-05 2.754861e-05 3.134613e-05 3.492505e-05 3.160692e-05 #> [11305,] 3.091510e-05 3.049190e-05 3.666536e-05 3.823008e-05 4.371843e-05 #> [11306,] 2.865385e-04 4.619504e-04 3.000847e-04 2.869827e-04 2.964396e-04 #> [11307,] 3.550369e-05 3.104288e-05 4.593049e-05 4.277084e-05 4.419268e-05 #> [11308,] 3.536845e-05 3.227587e-05 3.525813e-05 3.516712e-05 3.656338e-05 #> [11309,] 2.654609e-05 2.597075e-05 2.784407e-05 3.000780e-05 3.329940e-05 #> [11310,] 3.174237e-05 3.069674e-05 3.302407e-05 3.556281e-05 3.281044e-05 #> [11311,] 3.502251e-05 3.801596e-05 3.402557e-05 3.191616e-05 3.271331e-05 #> [11312,] 2.605249e-05 2.576608e-05 2.880707e-05 3.274215e-05 3.255468e-05 #> [11313,] 2.845445e-05 2.840854e-05 3.575668e-05 3.225236e-05 3.166884e-05 #> [11314,] 2.817226e-05 3.394706e-05 4.328477e-05 3.424718e-05 3.786721e-05 #> [11315,] 2.884455e-05 3.127814e-05 2.998074e-05 3.231326e-05 3.294248e-05 #> [11316,] 3.874549e-05 3.631148e-05 3.841305e-05 4.714860e-05 4.423113e-05 #> [11317,] 5.867787e-05 9.576926e-05 8.884840e-05 7.951880e-05 1.015884e-04 #> [11318,] 2.347650e-05 2.410781e-05 2.509491e-05 2.410394e-05 2.472275e-05 #> [11319,] 2.197497e-04 1.542238e-04 1.252531e-04 1.412044e-04 1.657761e-04 #> [11320,] 2.736503e-05 3.013794e-05 3.473474e-05 3.173568e-05 3.175297e-05 #> [11321,] 2.849998e-05 3.008759e-05 2.789632e-05 3.039328e-05 3.087068e-05 #> [11322,] 2.459121e-05 2.347427e-05 2.421431e-05 2.611926e-05 2.522645e-05 #> [11323,] 2.929394e-05 3.044521e-05 3.201892e-05 3.539602e-05 4.375524e-05 #> [11324,] 2.756416e-05 3.007906e-05 3.027967e-05 3.197887e-05 3.606353e-05 #> [11325,] 2.497328e-05 2.236972e-05 2.216463e-05 2.425810e-05 2.547200e-05 #> [11326,] 7.767450e-05 6.242125e-05 5.274005e-05 4.376259e-05 6.079078e-05 #> [11327,] 2.006969e-04 4.549163e-04 1.873457e-04 1.489860e-04 1.703869e-04 #> [11328,] 2.347617e-05 2.540054e-05 2.648852e-05 2.703174e-05 3.203034e-05 #> [11329,] 2.785766e-05 2.682312e-05 2.910397e-05 3.181741e-05 3.025118e-05 #> [11330,] 3.029993e-05 3.167717e-05 3.555043e-05 3.456337e-05 3.305381e-05 #> [11331,] 3.284239e-05 3.531210e-05 3.203447e-05 3.282311e-05 3.486573e-05 #> [11332,] 7.242942e-05 8.058229e-05 7.839815e-05 6.433227e-05 7.927583e-05 #> [11333,] 3.762758e-05 3.583009e-05 3.804698e-05 4.914051e-05 4.764514e-05 #> [11334,] 6.102844e-05 4.689659e-05 5.032918e-05 4.996096e-05 4.191758e-05 #> [11335,] 3.376394e-05 3.393250e-05 2.786287e-05 2.894910e-05 3.032111e-05 #> [11336,] 3.166629e-05 3.414483e-05 4.376172e-05 3.527046e-05 3.435289e-05 #> [11337,] 2.765310e-05 2.642313e-05 2.939971e-05 3.016444e-05 3.030949e-05 #> [11338,] 1.000704e-04 9.582018e-05 7.296149e-05 9.234361e-05 6.095856e-05 #> [11339,] 3.439729e-05 3.417962e-05 4.782049e-05 5.420931e-05 4.068137e-05 #> [11340,] 2.260981e-05 2.176739e-05 2.226387e-05 2.354675e-05 2.225127e-05 #> [11341,] 4.105855e-05 3.576644e-05 7.555705e-05 8.449715e-05 6.353065e-05 #> [11342,] 2.811975e-05 2.765341e-05 3.014602e-05 2.993364e-05 3.050153e-05 #> [11343,] 2.870838e-05 3.163699e-05 3.819979e-05 3.376573e-05 3.272778e-05 #> [11344,] 2.735077e-05 2.742162e-05 2.589706e-05 2.787921e-05 3.076989e-05 #> [11345,] 3.583331e-05 3.788593e-05 5.202382e-05 4.482262e-05 3.297406e-05 #> [11346,] 2.653903e-05 2.858143e-05 3.068322e-05 3.127572e-05 2.979767e-05 #> [11347,] 3.936600e-05 4.471981e-05 4.650849e-05 4.634604e-05 4.194235e-05 #> [11348,] 2.508678e-05 2.379496e-05 2.767394e-05 3.017363e-05 3.019315e-05 #> [11349,] 2.829135e-05 2.936992e-05 3.388230e-05 3.183226e-05 3.187331e-05 #> [11350,] 2.694033e-05 3.003304e-05 3.219195e-05 2.574602e-05 2.584129e-05 #> [11351,] 2.902525e-05 2.861789e-05 3.434504e-05 3.175465e-05 3.235254e-05 #> [11352,] 2.748707e-05 2.882404e-05 3.340644e-05 2.957343e-05 3.055264e-05 #> [11353,] 3.104815e-05 2.843426e-05 2.765635e-05 3.030426e-05 2.861659e-05 #> [11354,] 2.737777e-05 2.695552e-05 2.639149e-05 2.725407e-05 2.687627e-05 #> [11355,] 5.890721e-05 5.885049e-05 1.037907e-04 1.327874e-04 9.008479e-05 #> [11356,] 2.657115e-05 2.885863e-05 3.043611e-05 3.000633e-05 3.119378e-05 #> [11357,] 2.923120e-05 3.184332e-05 3.696912e-05 3.645427e-05 3.964736e-05 #> [11358,] 3.004160e-05 2.849428e-05 3.598492e-05 3.359950e-05 3.854645e-05 #> [11359,] 2.384715e-05 2.415796e-05 2.304640e-05 2.370358e-05 2.320944e-05 #> [11360,] 1.946948e-03 2.186741e-03 1.452323e-03 1.707360e-03 1.293905e-03 #> [11361,] 2.853752e-05 2.991090e-05 3.328404e-05 3.483141e-05 3.291079e-05 #> [11362,] 2.825758e-05 2.921917e-05 2.978853e-05 3.263719e-05 3.477231e-05 #> [11363,] 2.673868e-05 2.754328e-05 3.040100e-05 3.013623e-05 2.720556e-05 #> [11364,] 3.046476e-05 2.855468e-05 3.092265e-05 2.964651e-05 2.768576e-05 #> [11365,] 5.642978e-05 4.213918e-05 8.694760e-05 8.792928e-05 5.695514e-05 #> [11366,] 2.578486e-05 2.755569e-05 3.197848e-05 2.811524e-05 3.537597e-05 #> [11367,] 2.549665e-05 2.652533e-05 3.389657e-05 2.948175e-05 2.991734e-05 #> [11368,] 2.479467e-05 2.566270e-05 2.778525e-05 2.657332e-05 2.954714e-05 #> [11369,] 2.960653e-05 2.972081e-05 4.722915e-05 3.972700e-05 3.310209e-05 #> [11370,] 2.826042e-05 2.678470e-05 2.712868e-05 2.807806e-05 2.685167e-05 #> [11371,] 3.194179e-05 2.869651e-05 3.531418e-05 3.491188e-05 2.993896e-05 #> [11372,] 4.095759e-05 5.353502e-05 1.092361e-04 1.040087e-04 6.526014e-05 #> [11373,] 2.981338e-05 2.902855e-05 3.871439e-05 4.177426e-05 3.462214e-05 #> [11374,] 3.124486e-05 3.866826e-05 4.963693e-05 4.331798e-05 3.880662e-05 #> [11375,] 2.536694e-05 2.390297e-05 2.496722e-05 2.583530e-05 2.267537e-05 #> [11376,] 2.593404e-05 2.613678e-05 2.792124e-05 2.861549e-05 2.729144e-05 #> [11377,] 6.953681e-05 3.907642e-05 5.542714e-05 5.488880e-05 4.099460e-05 #> [11378,] 3.507498e-05 3.611654e-05 5.507154e-05 4.492248e-05 3.363271e-05 #> [11379,] 4.427287e-05 5.146668e-05 8.095449e-05 6.638427e-05 6.201355e-05 #> [11380,] 2.989431e-05 2.752505e-05 2.826012e-05 2.786901e-05 2.670639e-05 #> [11381,] 3.138826e-05 2.830338e-05 3.482826e-05 3.653514e-05 3.171471e-05 #> [11382,] 9.048380e-05 8.965810e-05 9.455365e-05 9.686065e-05 1.067506e-04 #> [11383,] 7.979633e-05 1.560736e-04 2.553704e-04 2.273566e-04 1.731302e-04 #> [11384,] 2.786555e-05 2.726221e-05 3.235439e-05 3.366224e-05 3.124505e-05 #> [11385,] 2.987407e-05 3.340231e-05 3.913174e-05 4.018490e-05 3.844143e-05 #> [11386,] 2.507633e-05 2.294295e-05 2.566877e-05 2.534254e-05 2.456874e-05 #> [11387,] 8.910441e-05 8.008949e-05 7.075601e-05 9.132444e-05 8.828613e-05 #> [11388,] 2.885395e-05 2.909875e-05 2.954483e-05 3.111700e-05 3.181929e-05 #> [11389,] 2.728897e-05 2.797886e-05 2.928700e-05 2.975443e-05 2.899757e-05 #> [11390,] 6.746575e-05 3.438456e-05 4.140150e-05 3.737093e-05 3.950029e-05 #> [11391,] 2.522379e-05 2.655410e-05 3.160707e-05 2.613931e-05 2.792431e-05 #> [11392,] 2.622601e-05 2.590838e-05 2.463921e-05 2.933209e-05 2.803728e-05 #> [11393,] 2.862906e-05 2.688281e-05 3.052524e-05 3.428053e-05 3.299472e-05 #> [11394,] 5.056524e-05 5.521874e-05 5.381813e-05 6.010183e-05 6.556668e-05 #> [11395,] 9.665730e-04 9.050092e-04 9.902995e-04 1.110846e-03 1.748423e-03 #> [11396,] 2.745896e-05 2.541200e-05 2.485057e-05 2.918650e-05 2.960630e-05 #> [11397,] 2.614206e-05 2.626522e-05 2.538880e-05 2.757311e-05 2.767748e-05 #> [11398,] 2.779922e-05 2.875489e-05 2.989945e-05 3.121838e-05 3.176309e-05 #> [11399,] 1.688299e-03 2.011496e-03 2.051991e-03 1.991332e-03 2.047295e-03 #> [11400,] 3.032663e-05 3.354066e-05 4.305184e-05 3.839073e-05 3.918060e-05 #> [11401,] 2.664799e-05 2.812528e-05 3.162980e-05 3.391739e-05 3.223137e-05 #> [11402,] 3.106337e-05 3.699169e-05 4.828136e-05 3.872855e-05 4.871087e-05 #> [11403,] 3.216881e-05 3.193007e-05 3.742139e-05 3.764610e-05 3.514699e-05 #> [11404,] 6.940052e-05 1.128829e-04 7.488295e-05 9.301730e-05 1.189084e-04 #> [11405,] 2.564029e-05 2.387748e-05 2.513619e-05 2.655093e-05 2.514400e-05 #> [11406,] 3.902284e-05 3.400135e-05 3.681882e-05 3.858461e-05 3.608543e-05 #> [11407,] 2.687511e-05 2.781590e-05 3.448804e-05 3.423649e-05 3.549653e-05 #> [11408,] 2.616561e-05 2.402633e-05 2.285520e-05 2.439807e-05 2.489269e-05 #> [11409,] 3.995147e-05 3.883528e-05 5.377108e-05 5.737269e-05 5.515252e-05 #> [11410,] 3.673648e-05 3.271359e-05 3.516881e-05 3.332347e-05 3.194608e-05 #> [11411,] 2.863808e-05 2.760929e-05 3.109841e-05 3.337050e-05 3.040639e-05 #> [11412,] 3.241857e-05 3.028396e-05 4.314701e-05 3.767711e-05 3.338681e-05 #> [11413,] 2.592312e-05 2.382381e-05 2.447125e-05 2.627109e-05 2.430748e-05 #> [11414,] 2.821441e-05 2.802560e-05 2.698584e-05 2.713698e-05 2.686855e-05 #> [11415,] 2.706885e-05 2.487566e-05 2.758715e-05 3.138046e-05 3.209883e-05 #> [11416,] 3.083212e-05 2.817838e-05 3.184201e-05 3.220305e-05 3.121431e-05 #> [11417,] 3.759159e-05 3.969475e-05 5.187391e-05 5.497509e-05 4.950421e-05 #> [11418,] 3.023494e-05 3.263327e-05 2.918842e-05 2.878782e-05 2.833381e-05 #> [11419,] 2.550012e-05 2.462952e-05 2.488001e-05 2.628348e-05 2.695076e-05 #> [11420,] 2.862704e-05 2.652616e-05 3.460669e-05 3.771385e-05 3.742951e-05 #> [11421,] 2.993076e-05 2.893203e-05 3.416148e-05 3.862508e-05 3.553045e-05 #> [11422,] 3.101751e-05 2.638853e-05 3.041659e-05 3.078269e-05 3.014419e-05 #> [11423,] 2.416712e-05 2.337700e-05 2.313729e-05 2.549784e-05 2.410801e-05 #> [11424,] 3.144944e-05 3.113399e-05 3.520011e-05 3.496191e-05 3.323385e-05 #> [11425,] 2.480855e-05 2.428587e-05 2.473201e-05 2.593460e-05 2.555583e-05 #> [11426,] 9.239728e-05 1.007977e-04 1.028077e-04 1.029156e-04 1.080060e-04 #> [11427,] 2.722799e-05 3.045149e-05 3.639655e-05 3.305219e-05 3.129529e-05 #> [11428,] 5.061130e-05 4.781335e-05 4.229556e-05 4.849081e-05 4.655026e-05 #> [11429,] 8.575941e-05 8.285396e-05 5.528177e-05 5.250064e-05 4.423370e-05 #> [11430,] 2.373024e-05 2.402625e-05 2.341744e-05 2.634389e-05 2.483648e-05 #> [11431,] 4.059386e-05 6.875883e-05 2.917540e-05 3.033760e-05 2.894533e-05 #> [11432,] 5.316866e-05 4.830131e-05 7.731449e-05 9.351705e-05 8.411001e-05 #> [11433,] 8.498293e-05 1.014286e-04 1.447549e-04 2.848310e-04 6.751157e-04 #> [11434,] 2.526938e-05 2.346672e-05 2.476540e-05 2.637417e-05 2.469183e-05 #> [11435,] 3.213485e-05 3.518335e-05 3.740292e-05 3.842084e-05 3.345564e-05 #> [11436,] 3.774427e-05 3.931796e-05 4.106144e-05 4.548527e-05 5.520927e-05 #> [11437,] 2.787638e-05 2.667020e-05 3.305607e-05 3.006901e-05 2.838250e-05 #> [11438,] 3.245142e-05 3.100784e-05 4.930622e-05 4.014407e-05 2.658822e-05 #> [11439,] 3.878979e-04 4.388420e-04 3.959345e-04 3.591158e-04 3.200220e-04 #> [11440,] 2.799170e-05 2.711577e-05 2.587564e-05 3.194558e-05 3.257978e-05 #> [11441,] 2.872379e-05 2.755325e-05 4.231813e-05 4.133438e-05 3.818611e-05 #> [11442,] 8.084724e-05 2.775249e-05 2.551079e-05 3.115811e-05 2.785616e-05 #> [11443,] 3.747137e-04 4.579308e-04 7.937891e-04 1.154406e-03 1.513798e-03 #> [11444,] 3.716313e-05 4.300656e-05 4.312266e-05 4.288046e-05 4.244586e-05 #> [11445,] 4.064302e-05 3.976888e-05 4.348365e-05 4.916845e-05 3.975358e-05 #> [11446,] 6.701141e-05 7.115980e-05 6.398397e-05 6.251093e-05 4.698749e-05 #> [11447,] 6.980080e-05 3.818391e-05 3.829506e-05 3.816886e-05 4.048174e-05 #> [11448,] 2.366719e-05 2.282465e-05 2.480977e-05 2.462318e-05 2.485480e-05 #> [11449,] 3.649736e-05 5.688715e-05 6.038642e-05 5.783000e-05 4.369200e-05 #> [11450,] 2.447214e-05 2.155347e-05 2.324258e-05 2.493272e-05 2.383680e-05 #> [11451,] 2.432698e-05 2.354293e-05 2.489003e-05 2.852807e-05 2.957606e-05 #> [11452,] 6.739701e-05 6.426288e-05 7.484070e-05 9.074019e-05 2.176551e-04 #> [11453,] 3.206896e-05 2.496285e-05 2.556290e-05 3.233198e-05 2.709391e-05 #> [11454,] 2.726794e-05 2.574075e-05 2.500724e-05 2.920394e-05 3.134335e-05 #> [11455,] 2.951524e-05 3.129230e-05 3.325058e-05 3.487628e-05 3.154416e-05 #> [11456,] 7.361754e-05 4.828940e-05 4.857812e-05 4.477641e-05 4.196959e-05 #> [11457,] 5.949372e-05 5.579164e-05 9.408138e-05 7.208641e-05 5.163174e-05 #> [11458,] 3.313398e-05 3.544289e-05 2.779680e-05 2.625899e-05 2.850749e-05 #> [11459,] 2.343587e-05 2.321215e-05 2.494494e-05 2.544991e-05 2.567632e-05 #> [11460,] 2.549621e-05 2.097583e-05 2.204831e-05 2.501513e-05 2.211012e-05 #> [11461,] 3.251957e-05 2.992572e-05 3.573829e-05 3.581122e-05 3.598718e-05 #> [11462,] 2.854750e-05 2.749177e-05 2.877871e-05 2.924074e-05 2.965114e-05 #> [11463,] 5.421449e-05 1.036662e-04 4.306643e-05 3.470258e-05 3.298278e-05 #> [11464,] 2.942884e-05 2.729571e-05 3.573128e-05 3.660418e-05 3.316574e-05 #> [11465,] 3.456686e-05 5.051859e-05 5.681640e-05 5.464435e-05 6.534701e-05 #> [11466,] 2.823511e-05 2.784959e-05 3.026433e-05 2.997684e-05 3.250131e-05 #> [11467,] 2.634396e-05 2.753252e-05 3.342543e-05 2.905408e-05 3.104202e-05 #> [11468,] 1.134160e-04 7.378483e-05 1.280269e-04 9.255829e-05 7.692099e-05 #> [11469,] 5.004466e-05 5.026721e-05 7.185445e-05 5.725146e-05 4.510000e-05 #> [11470,] 4.214894e-05 3.981231e-05 7.759596e-05 9.521804e-05 7.064471e-05 #> [11471,] 2.812012e-05 2.619823e-05 3.224369e-05 3.182225e-05 2.761753e-05 #> [11472,] 2.607565e-05 2.338567e-05 2.375378e-05 2.605831e-05 2.580775e-05 #> [11473,] 3.437911e-05 3.367142e-05 3.469076e-05 3.443833e-05 3.410767e-05 #> [11474,] 3.977016e-05 5.127335e-05 6.509074e-05 4.763325e-05 4.601078e-05 #> [11475,] 2.811714e-05 2.629505e-05 2.950114e-05 3.243409e-05 2.744532e-05 #> [11476,] 2.897142e-05 2.971601e-05 3.452305e-05 3.738100e-05 3.243742e-05 #> [11477,] 3.101532e-05 3.973387e-05 5.404541e-05 3.733265e-05 3.998557e-05 #> [11478,] 6.051578e-05 5.301575e-05 7.082257e-05 9.430490e-05 9.969338e-05 #> [11479,] 2.678013e-05 2.737384e-05 3.269922e-05 2.939399e-05 3.153729e-05 #> [11480,] 2.744813e-05 2.980111e-05 3.554195e-05 3.445157e-05 3.358538e-05 #> [11481,] 2.799399e-05 2.584017e-05 2.731693e-05 2.720886e-05 2.724497e-05 #> [11482,] 7.748635e-04 9.288681e-04 1.050140e-03 9.832249e-04 1.065224e-03 #> [11483,] 2.889888e-05 2.983238e-05 3.010618e-05 2.620372e-05 2.788283e-05 #> [11484,] 1.728225e-04 1.388941e-04 1.395801e-04 1.446278e-04 1.038501e-04 #> [11485,] 3.507868e-05 3.201711e-05 4.797821e-05 4.569236e-05 3.856223e-05 #> [11486,] 3.422807e-05 2.906610e-05 3.049848e-05 3.496834e-05 3.726421e-05 #> [11487,] 2.092762e-03 2.054297e-03 1.829239e-03 1.979184e-03 1.854821e-03 #> [11488,] 4.223926e-05 4.379250e-05 3.969409e-05 4.440986e-05 4.073792e-05 #> [11489,] 6.014636e-05 5.716282e-05 5.128546e-05 5.882016e-05 5.887563e-05 #> [11490,] 2.402433e-05 2.508003e-05 2.779902e-05 2.727827e-05 2.770067e-05 #> [11491,] 3.275217e-05 3.384672e-05 3.667036e-05 4.050465e-05 4.072512e-05 #> [11492,] 3.041057e-05 4.230961e-05 7.662885e-05 4.421968e-05 3.178694e-05 #> [11493,] 2.410897e-05 2.380284e-05 2.303846e-05 2.447881e-05 2.514105e-05 #> [11494,] 3.904330e-05 4.188369e-05 5.425958e-05 4.959484e-05 5.117735e-05 #> [11495,] 2.433098e-05 2.269045e-05 2.458074e-05 2.525792e-05 2.558864e-05 #> [11496,] 7.483467e-05 5.769868e-05 1.504744e-04 1.718279e-04 1.706829e-04 #> [11497,] 4.037846e-05 5.399025e-05 1.392979e-04 1.029438e-04 1.114337e-04 #> [11498,] 3.065799e-05 2.978663e-05 3.225019e-05 3.383085e-05 3.173850e-05 #> [11499,] 3.243372e-05 3.105906e-05 3.981981e-05 3.570415e-05 3.510238e-05 #> [11500,] 2.560048e-05 2.733004e-05 2.792217e-05 2.565225e-05 2.420727e-05 #> [11501,] 2.858420e-05 3.171433e-05 3.261957e-05 3.623327e-05 3.427252e-05 #> [11502,] 7.619789e-05 7.273954e-05 1.399224e-04 1.370678e-04 9.121005e-05 #> [11503,] 2.348143e-05 2.414470e-05 2.365431e-05 2.508478e-05 2.600969e-05 #> [11504,] 4.853273e-05 5.170530e-05 5.779799e-05 6.798856e-05 5.700860e-05 #> [11505,] 2.914620e-05 2.842598e-05 3.433999e-05 3.715057e-05 3.510930e-05 #> [11506,] 4.788853e-05 4.555273e-05 3.183871e-05 3.715220e-05 3.254782e-05 #> [11507,] 2.308686e-05 2.039472e-05 2.337482e-05 2.485873e-05 2.347303e-05 #> [11508,] 2.941128e-05 2.683966e-05 2.984021e-05 3.260572e-05 3.114162e-05 #> [11509,] 2.519662e-05 2.745507e-05 2.920151e-05 2.890531e-05 3.050986e-05 #> [11510,] 2.739609e-05 2.737302e-05 3.002022e-05 3.080479e-05 3.118584e-05 #> [11511,] 2.920141e-05 2.731539e-05 3.093653e-05 3.047861e-05 3.000141e-05 #> [11512,] 2.836252e-05 2.643144e-05 2.932480e-05 3.003365e-05 2.926067e-05 #> [11513,] 6.548166e-04 7.514889e-04 4.774080e-04 4.408820e-04 4.084548e-04 #> [11514,] 2.688376e-05 2.914315e-05 2.820129e-05 2.903364e-05 2.766631e-05 #> [11515,] 5.343449e-05 4.016691e-05 7.552839e-05 6.315111e-05 1.484324e-04 #> [11516,] 2.094495e-03 2.218002e-03 1.023701e-03 1.125942e-03 6.114153e-04 #> [11517,] 2.924430e-05 2.670859e-05 3.388670e-05 3.401946e-05 3.454800e-05 #> [11518,] 2.631794e-05 2.618067e-05 2.858619e-05 2.714261e-05 3.005617e-05 #> [11519,] 2.871203e-05 3.097416e-05 3.680454e-05 3.100779e-05 3.289887e-05 #> [11520,] 4.730574e-05 3.726692e-05 6.232000e-05 6.923879e-05 6.774057e-05 #> [11521,] 2.909128e-05 2.600708e-05 3.125780e-05 3.180653e-05 3.052561e-05 #> [11522,] 4.439097e-05 4.022561e-05 4.606755e-05 4.638524e-05 3.580416e-05 #> [11523,] 2.355962e-05 2.350981e-05 2.450045e-05 2.663745e-05 2.390262e-05 #> [11524,] 2.756977e-05 2.731413e-05 2.753123e-05 2.788894e-05 2.730923e-05 #> [11525,] 2.586509e-05 2.388451e-05 3.075008e-05 3.255805e-05 3.389523e-05 #> [11526,] 5.193630e-04 5.690249e-04 4.984126e-04 5.710427e-04 6.096724e-04 #> [11527,] 2.801431e-05 2.681751e-05 2.848096e-05 3.272654e-05 3.340154e-05 #> [11528,] 4.178531e-04 1.776291e-04 2.237843e-04 3.185679e-04 2.313398e-04 #> [11529,] 1.887657e-04 5.867737e-05 5.058898e-05 5.224306e-05 1.184873e-04 #> [11530,] 9.545577e-05 7.727114e-05 6.752249e-05 9.798362e-05 1.133776e-04 #> [11531,] 1.927372e-03 1.941957e-03 9.230850e-04 5.603966e-04 1.976827e-04 #> [11532,] 2.420491e-05 2.430536e-05 2.844748e-05 3.107417e-05 3.086252e-05 #> [11533,] 3.367354e-05 3.443764e-05 4.316754e-05 4.003246e-05 3.673432e-05 #> [11534,] 2.973242e-05 3.299726e-05 3.219683e-05 3.072998e-05 3.064727e-05 #> [11535,] 2.892732e-05 2.941277e-05 3.159844e-05 3.235018e-05 3.193636e-05 #> [11536,] 2.377680e-05 2.474042e-05 1.195533e-04 7.291631e-05 3.013861e-05 #> [11537,] 2.969278e-05 2.956855e-05 3.223079e-05 3.770256e-05 3.498740e-05 #> [11538,] 2.438604e-05 2.400897e-05 2.388821e-05 2.526183e-05 2.844811e-05 #> [11539,] 2.721788e-05 2.658413e-05 2.805644e-05 3.067521e-05 3.081045e-05 #> [11540,] 2.512271e-05 2.343895e-05 2.474785e-05 2.587506e-05 2.451547e-05 #> [11541,] 5.546175e-05 4.162353e-05 5.554350e-05 9.050676e-05 6.021823e-05 #> [11542,] 2.725897e-05 2.869461e-05 3.422762e-05 3.097099e-05 2.889155e-05 #> [11543,] 3.429164e-05 3.288964e-05 3.565991e-05 3.505860e-05 3.114993e-05 #> [11544,] 3.082136e-05 3.004090e-05 3.064353e-05 3.467827e-05 3.113446e-05 #> [11545,] 4.153003e-05 3.927412e-05 6.489137e-05 6.340130e-05 5.943475e-05 #> [11546,] 3.071043e-05 3.063788e-05 3.296845e-05 3.414999e-05 3.059540e-05 #> [11547,] 2.498442e-05 2.338824e-05 2.949082e-05 3.344710e-05 2.314532e-05 #> [11548,] 2.953263e-05 2.955728e-05 2.945624e-05 2.962707e-05 2.661971e-05 #> [11549,] 2.734635e-05 2.829272e-05 3.229564e-05 3.483000e-05 3.201898e-05 #> [11550,] 2.649925e-05 2.626625e-05 2.564396e-05 2.589651e-05 2.273552e-05 #> [11551,] 2.363630e-05 2.147065e-05 2.393642e-05 2.514828e-05 2.341083e-05 #> [11552,] 1.032089e-04 6.760521e-05 7.262832e-05 1.013384e-04 9.940418e-05 #> [11553,] 5.106697e-05 4.085643e-05 4.125807e-05 3.925437e-05 3.718238e-05 #> [11554,] 6.937042e-05 6.402274e-05 5.412132e-05 5.290508e-05 5.091911e-05 #> [11555,] 2.637525e-05 2.792062e-05 3.108664e-05 3.248290e-05 3.162973e-05 #> [11556,] 4.790007e-05 4.865047e-05 8.381275e-05 7.232179e-05 6.592302e-05 #> [11557,] 2.860566e-05 3.189631e-05 3.755435e-05 3.687442e-05 3.467699e-05 #> [11558,] 1.198175e-04 1.863896e-04 1.638160e-04 1.392504e-04 1.366372e-04 #> [11559,] 6.594035e-05 1.270149e-04 6.401867e-05 5.181916e-05 7.042633e-05 #> [11560,] 2.636450e-05 2.779472e-05 2.749529e-05 3.434237e-05 3.244260e-05 #> [11561,] 3.559948e-05 4.782915e-05 3.769355e-05 3.532339e-05 4.123360e-05 #> [11562,] 2.621080e-05 2.581977e-05 2.797151e-05 2.928446e-05 2.733384e-05 #> [11563,] 4.503749e-05 4.265346e-05 1.283081e-04 1.359333e-04 1.245194e-04 #> [11564,] 2.690802e-05 2.721427e-05 2.813843e-05 2.759050e-05 2.861456e-05 #> [11565,] 2.606097e-05 2.640955e-05 3.602956e-05 3.580322e-05 3.137957e-05 #> [11566,] 1.286877e-04 1.900663e-04 2.580976e-04 2.832505e-04 3.234148e-04 #> [11567,] 3.486136e-05 3.833235e-05 4.875360e-05 5.452710e-05 8.032843e-05 #> [11568,] 2.113963e-04 1.467337e-04 7.491782e-05 7.243280e-05 6.970287e-05 #> [11569,] 2.906149e-05 2.863211e-05 3.115538e-05 3.224239e-05 3.006251e-05 #> [11570,] 3.200652e-05 2.783516e-05 3.007770e-05 3.224256e-05 3.085820e-05 #> [11571,] 3.896570e-05 3.635784e-05 3.982585e-05 4.341829e-05 4.818022e-05 #> [11572,] 2.554729e-05 2.794441e-05 3.171367e-05 3.011426e-05 3.041148e-05 #> [11573,] 5.611969e-05 5.479571e-05 3.522907e-05 3.663299e-05 3.479355e-05 #> [11574,] 2.881374e-05 2.769009e-05 2.980705e-05 2.831894e-05 2.920970e-05 #> [11575,] 5.462602e-05 4.673233e-05 4.814428e-05 4.406544e-05 3.580558e-05 #> [11576,] 2.878117e-05 3.414868e-05 3.922745e-05 3.439900e-05 3.166698e-05 #> [11577,] 3.527142e-05 3.579401e-05 3.400371e-05 3.684818e-05 3.399674e-05 #> [11578,] 2.899062e-05 3.049550e-05 3.617187e-05 3.517793e-05 3.293962e-05 #> [11579,] 2.918653e-05 3.525447e-05 4.652494e-05 3.102440e-05 3.166099e-05 #> [11580,] 3.496151e-05 3.400874e-05 4.849170e-05 3.809919e-05 4.129313e-05 #> [11581,] 3.225849e-05 2.997408e-05 2.961317e-05 3.420359e-05 3.048747e-05 #> [11582,] 4.076413e-05 5.194068e-05 1.053521e-04 9.195537e-05 5.300073e-05 #> [11583,] 3.837195e-05 4.688854e-05 6.398251e-05 5.430330e-05 4.782790e-05 #> [11584,] 2.391579e-05 2.251428e-05 2.437661e-05 2.856987e-05 2.741796e-05 #> [11585,] 2.541067e-05 2.656255e-05 2.763185e-05 2.723430e-05 2.929345e-05 #> [11586,] 2.413269e-05 2.620878e-05 2.906402e-05 2.414819e-05 2.554961e-05 #> [11587,] 2.866659e-05 2.508547e-05 2.746487e-05 3.086588e-05 3.022027e-05 #> [11588,] 2.673647e-05 2.488148e-05 2.863635e-05 3.161938e-05 3.322783e-05 #> [11589,] 3.199849e-05 3.663743e-05 5.017065e-05 5.295479e-05 5.273563e-05 #> [11590,] 2.492194e-05 2.555936e-05 2.865545e-05 3.018148e-05 3.075277e-05 #> [11591,] 2.667286e-05 2.855133e-05 3.271807e-05 3.138139e-05 3.092331e-05 #> [11592,] 2.875786e-05 3.318255e-05 4.372722e-05 3.131154e-05 3.259229e-05 #> [11593,] 7.486490e-05 9.520338e-05 5.720506e-05 5.314166e-05 5.675230e-05 #> [11594,] 6.877544e-04 5.939734e-04 2.781223e-04 2.285290e-04 1.831583e-04 #> [11595,] 3.439026e-05 3.753514e-05 3.685413e-05 3.979538e-05 5.119007e-05 #> [11596,] 4.090530e-04 4.017752e-04 3.755843e-04 3.387619e-04 2.968706e-04 #> [11597,] 2.476535e-05 2.533277e-05 3.032292e-05 2.815019e-05 2.616781e-05 #> [11598,] 6.211407e-05 6.539598e-05 5.524988e-05 6.070904e-05 5.668028e-05 #> [11599,] 4.000096e-05 4.154712e-05 4.387811e-05 4.108890e-05 4.429330e-05 #> [11600,] 2.466317e-05 2.314998e-05 2.317336e-05 2.517654e-05 2.607537e-05 #> [11601,] 3.611112e-05 3.194531e-05 2.880538e-05 3.241397e-05 3.427824e-05 #> [11602,] 2.836846e-05 2.767677e-05 2.982221e-05 3.156032e-05 3.005253e-05 #> [11603,] 2.651526e-05 2.602706e-05 2.949815e-05 3.119833e-05 3.123430e-05 #> [11604,] 2.808941e-05 2.978856e-05 3.267418e-05 3.522536e-05 3.592850e-05 #> [11605,] 3.295292e-05 2.892468e-05 3.048599e-05 3.198919e-05 3.119358e-05 #> [11606,] 2.732693e-05 2.626507e-05 3.159409e-05 3.089860e-05 2.899713e-05 #> [11607,] 2.542278e-05 2.408553e-05 2.657637e-05 3.103313e-05 3.271930e-05 #> [11608,] 2.746804e-05 3.012723e-05 3.277068e-05 3.623777e-05 3.681378e-05 #> [11609,] 2.228041e-05 2.566724e-05 2.600390e-05 2.585388e-05 2.638471e-05 #> [11610,] 2.678124e-05 3.061146e-05 3.360608e-05 2.833833e-05 2.761261e-05 #> [11611,] 2.499190e-05 2.373110e-05 2.655314e-05 2.674893e-05 2.704656e-05 #> [11612,] 3.974176e-05 3.660789e-05 4.197397e-05 3.972595e-05 3.431571e-05 #> [11613,] 6.198835e-05 5.948845e-05 6.013168e-05 7.814693e-05 6.324261e-05 #> [11614,] 2.888470e-05 2.393196e-05 2.289552e-05 2.486624e-05 2.531982e-05 #> [11615,] 2.762126e-05 3.052619e-05 3.226271e-05 3.137455e-05 3.270920e-05 #> [11616,] 2.675934e-04 2.275132e-04 1.247956e-04 1.154530e-04 1.069862e-04 #> [11617,] 2.555610e-05 2.580687e-05 2.746614e-05 3.124782e-05 3.386253e-05 #> [11618,] 6.140029e-05 4.353408e-05 4.580762e-05 4.540542e-05 4.733682e-05 #> [11619,] 2.532722e-05 2.363036e-05 2.311820e-05 2.507307e-05 2.673206e-05 #> [11620,] 3.390781e-05 3.685509e-05 3.453677e-05 2.990260e-05 3.782117e-05 #> [11621,] 6.570306e-05 5.002645e-05 7.611259e-05 9.000891e-05 5.640678e-05 #> [11622,] 2.425883e-05 2.395843e-05 2.389367e-05 2.529420e-05 2.571370e-05 #> [11623,] 6.269490e-05 4.126072e-05 4.308708e-05 4.792587e-05 4.104063e-05 #> [11624,] 4.812835e-05 3.740560e-05 3.674047e-05 3.408822e-05 3.595919e-05 #> [11625,] 3.052800e-05 3.183810e-05 3.373495e-05 3.282429e-05 3.884553e-05 #> [11626,] 3.076538e-05 3.391598e-05 3.135137e-05 3.430791e-05 3.844576e-05 #> [11627,] 3.338246e-05 2.980936e-05 3.455135e-05 3.589620e-05 3.429595e-05 #> [11628,] 2.220353e-04 2.306427e-04 2.305668e-04 2.475987e-04 2.714656e-04 #> [11629,] 2.619464e-05 2.729821e-05 3.204449e-05 2.990709e-05 3.129600e-05 #> [11630,] 2.930480e-05 3.278115e-05 3.254406e-05 3.109762e-05 3.170250e-05 #> [11631,] 3.838776e-04 6.003580e-04 6.830278e-04 5.587042e-04 6.192938e-04 #> [11632,] 2.510511e-05 2.495459e-05 2.717938e-05 2.764331e-05 2.680201e-05 #> [11633,] 6.147835e-05 4.396242e-05 3.914391e-05 4.087926e-05 3.979975e-05 #> [11634,] 2.854064e-05 2.709224e-05 3.178105e-05 2.980711e-05 2.757079e-05 #> [11635,] 2.517366e-05 2.524868e-05 2.830649e-05 3.187432e-05 3.483499e-05 #> [11636,] 3.288914e-05 3.856230e-05 3.337989e-05 3.408162e-05 3.222650e-05 #> [11637,] 2.950075e-05 3.128334e-05 3.923854e-05 4.623479e-05 4.119277e-05 #> [11638,] 3.298079e-05 3.390204e-05 2.843769e-05 3.228707e-05 2.968530e-05 #> [11639,] 3.521801e-05 3.704650e-05 3.940071e-05 4.214723e-05 3.872371e-05 #> [11640,] 2.695878e-05 2.715736e-05 2.568469e-05 2.580017e-05 2.672077e-05 #> [11641,] 8.202904e-05 7.224185e-05 1.209573e-04 1.557406e-04 1.931149e-04 #> [11642,] 2.928773e-05 2.735305e-05 2.861216e-05 2.882416e-05 2.794260e-05 #> [11643,] 2.985126e-05 3.317253e-05 3.760980e-05 3.893785e-05 3.460989e-05 #> [11644,] 3.134245e-05 2.890525e-05 5.241610e-05 5.394252e-05 4.325898e-05 #> [11645,] 1.894019e-03 1.715616e-03 1.803288e-03 1.622719e-03 1.318496e-03 #> [11646,] 6.660777e-05 7.546127e-05 7.365584e-05 6.806091e-05 5.632654e-05 #> [11647,] 2.302551e-05 2.019350e-05 2.258565e-05 2.437942e-05 2.198849e-05 #> [11648,] 2.812692e-05 2.900905e-05 3.207627e-05 3.126457e-05 3.697277e-05 #> [11649,] 2.361394e-05 2.716441e-05 3.492733e-05 3.148565e-05 3.502540e-05 #> [11650,] 2.456044e-05 2.556593e-05 2.745832e-05 2.891676e-05 3.021309e-05 #> [11651,] 3.337210e-05 3.193790e-05 3.484271e-05 3.159876e-05 2.992673e-05 #> [11652,] 2.730276e-05 2.407863e-05 2.555132e-05 2.389753e-05 2.556155e-05 #> [11653,] 2.976659e-05 3.030453e-05 3.497032e-05 3.350158e-05 3.221436e-05 #> [11654,] 2.574651e-05 2.904003e-05 3.272091e-05 2.839096e-05 3.070546e-05 #> [11655,] 9.754754e-05 8.671107e-05 4.746827e-05 4.689573e-05 4.246693e-05 #> [11656,] 1.189689e-04 1.046277e-04 1.542828e-04 1.307333e-04 1.096506e-04 #> [11657,] 5.808773e-05 7.367653e-05 1.462782e-04 1.366580e-04 1.368810e-04 #> [11658,] 5.423365e-05 9.595636e-05 1.113308e-04 2.420497e-04 2.763884e-04 #> [11659,] 2.699643e-05 2.907792e-05 3.084784e-05 3.172597e-05 2.844908e-05 #> [11660,] 2.653973e-05 2.771435e-05 3.205525e-05 2.875045e-05 3.200892e-05 #> [11661,] 3.820676e-05 4.751211e-05 3.099142e-05 3.006869e-05 3.212867e-05 #> [11662,] 3.489442e-05 3.935624e-05 4.412996e-05 4.910920e-05 4.607917e-05 #> [11663,] 1.844253e-03 1.937032e-03 1.641557e-03 1.152047e-03 9.684689e-04 #> [11664,] 2.717205e-05 2.614176e-05 2.638198e-05 2.743572e-05 2.877887e-05 #> [11665,] 2.559937e-05 2.631340e-05 2.690865e-05 2.994169e-05 2.728261e-05 #> [11666,] 3.088904e-05 2.648438e-05 3.163287e-05 3.466261e-05 3.417750e-05 #> [11667,] 4.192353e-05 2.609757e-04 5.767718e-05 7.128672e-05 8.205048e-05 #> [11668,] 2.851103e-05 2.970119e-05 3.507277e-05 3.589510e-05 3.798050e-05 #> [11669,] 4.098246e-05 4.741901e-05 4.538042e-05 4.185469e-05 3.691230e-05 #> [11670,] 2.303023e-05 2.206515e-05 2.461272e-05 2.817047e-05 2.897934e-05 #> [11671,] 2.987418e-05 2.491089e-05 2.879564e-05 3.101359e-05 2.910349e-05 #> [11672,] 3.741774e-05 3.922677e-05 3.398798e-05 3.988833e-05 3.796115e-05 #> [11673,] 1.702889e-04 2.242462e-04 5.549411e-05 4.513388e-05 3.686555e-05 #> [11674,] 1.062186e-04 7.067448e-05 5.706558e-05 7.340676e-05 7.495781e-05 #> [11675,] 2.814728e-05 2.852264e-05 4.402734e-05 4.964058e-05 5.092663e-05 #> [11676,] 4.376349e-05 4.426202e-05 3.254834e-05 3.745183e-05 4.138428e-05 #> [11677,] 3.701647e-05 3.952317e-05 4.265347e-05 3.888876e-05 5.653984e-05 #> [11678,] 2.459033e-05 2.570048e-05 2.295156e-05 2.347353e-05 2.562122e-05 #> [11679,] 2.968475e-05 2.851059e-05 3.033960e-05 3.082389e-05 3.237929e-05 #> [11680,] 2.537639e-05 2.690581e-05 2.622259e-05 2.777614e-05 2.665347e-05 #> [11681,] 6.754192e-05 3.404464e-05 4.238666e-05 4.108471e-05 4.236674e-05 #> [11682,] 6.661728e-05 5.966787e-05 7.374688e-05 6.205010e-05 5.618743e-05 #> [11683,] 6.367410e-05 6.693122e-05 4.374144e-05 3.842850e-05 3.480405e-05 #> [11684,] 2.871070e-05 3.211944e-05 3.880337e-05 3.492616e-05 3.520039e-05 #> [11685,] 3.374808e-05 4.466092e-05 3.127729e-05 2.921168e-05 3.142339e-05 #> [11686,] 3.384559e-05 3.552897e-05 3.528871e-05 3.612909e-05 3.657898e-05 #> [11687,] 3.717837e-05 3.543304e-05 3.379156e-05 3.257979e-05 3.472709e-05 #> [11688,] 8.769664e-05 7.591837e-05 4.499874e-05 4.206283e-05 8.732029e-05 #> [11689,] 2.813764e-05 2.969441e-05 2.658758e-05 2.558295e-05 2.451685e-05 #> [11690,] 3.625453e-05 4.000279e-05 4.313870e-05 3.865179e-05 3.743546e-05 #> [11691,] 4.889700e-05 5.035350e-05 3.966151e-05 4.004954e-05 6.894764e-05 #> [11692,] 3.443436e-05 3.123886e-05 2.371837e-05 2.740700e-05 2.766801e-05 #> [11693,] 2.835793e-05 2.805143e-05 2.964910e-05 3.054348e-05 2.988602e-05 #> [11694,] 3.133727e-05 3.041810e-05 2.984500e-05 3.120213e-05 3.578444e-05 #> [11695,] 2.200118e-05 2.055182e-05 2.215729e-05 2.335485e-05 2.234027e-05 #> [11696,] 2.481766e-05 2.343019e-05 2.605852e-05 2.609087e-05 2.679299e-05 #> [11697,] 9.286213e-05 1.439577e-04 6.052110e-05 5.380612e-05 4.763752e-05 #> [11698,] 2.445228e-05 2.574220e-05 2.603452e-05 2.617569e-05 2.566877e-05 #> [11699,] 2.013717e-03 2.001884e-03 1.856512e-03 1.825904e-03 1.892887e-03 #> [11700,] 2.662138e-05 2.543471e-05 2.877468e-05 2.990735e-05 2.962917e-05 #> [11701,] 3.163584e-05 3.122596e-05 2.724202e-05 2.751219e-05 2.778127e-05 #> [11702,] 3.872608e-05 3.929506e-05 8.972809e-05 7.446395e-05 7.806744e-05 #> [11703,] 9.463553e-05 6.428377e-05 4.528067e-05 5.048236e-05 5.153674e-05 #> [11704,] 2.781973e-05 3.078822e-05 3.848630e-05 3.516636e-05 3.279812e-05 #> [11705,] 2.041976e-05 2.143683e-05 2.165520e-05 2.094064e-05 2.153237e-05 #> [11706,] 2.672269e-05 2.852099e-05 3.506034e-05 3.261079e-05 3.034479e-05 #> [11707,] 1.577910e-04 1.143893e-04 9.570416e-05 1.092931e-04 9.913198e-05 #> [11708,] 3.519658e-05 2.591178e-05 3.001757e-05 3.106103e-05 2.889724e-05 #> [11709,] 6.390866e-04 8.942154e-04 8.182211e-04 6.086143e-04 5.495466e-04 #> [11710,] 3.018812e-05 3.264663e-05 3.843354e-05 3.732995e-05 3.228694e-05 #> [11711,] 2.874401e-05 3.301934e-05 2.859106e-05 2.927748e-05 2.875850e-05 #> [11712,] 2.865755e-05 2.827225e-05 3.351187e-05 3.928008e-05 3.800682e-05 #> [11713,] 2.887022e-05 3.108537e-05 3.404079e-05 3.008612e-05 3.084895e-05 #> [11714,] 2.341069e-05 2.418302e-05 2.548272e-05 2.638503e-05 2.599760e-05 #> [11715,] 2.589409e-05 2.931034e-05 3.625243e-05 3.515436e-05 3.367519e-05 #> [11716,] 8.278463e-05 7.291131e-05 6.098109e-05 7.150445e-05 6.655754e-05 #> [11717,] 7.313049e-05 7.143209e-05 1.023337e-04 7.782464e-05 3.937267e-05 #> [11718,] 2.573252e-05 2.512645e-05 2.375375e-05 2.391158e-05 2.533954e-05 #> [11719,] 2.721417e-05 3.010945e-05 2.926594e-05 2.920880e-05 2.649987e-05 #> [11720,] 2.560242e-05 2.152817e-05 2.393057e-05 2.672005e-05 2.491979e-05 #> [11721,] 2.946317e-05 2.762041e-05 2.587285e-05 2.736175e-05 2.771537e-05 #> [11722,] 2.881981e-05 3.205941e-05 3.735196e-05 3.386741e-05 3.236771e-05 #> [11723,] 4.522001e-05 4.595178e-05 4.609189e-05 4.473312e-05 5.475665e-05 #> [11724,] 2.692297e-05 2.734354e-05 2.667676e-05 2.863041e-05 2.980650e-05 #> [11725,] 3.163394e-05 3.288338e-05 3.994110e-05 3.777261e-05 3.251161e-05 #> [11726,] 2.339984e-05 2.359911e-05 2.598545e-05 2.686417e-05 2.878664e-05 #> [11727,] 2.508250e-05 2.419727e-05 2.577490e-05 2.917624e-05 3.215176e-05 #> [11728,] 2.998195e-05 3.143798e-05 2.814196e-05 2.781583e-05 2.860734e-05 #> [11729,] 1.644556e-04 1.595652e-04 1.521646e-04 1.466494e-04 1.089695e-04 #> [11730,] 2.618122e-05 2.453765e-05 3.012833e-05 2.547932e-05 2.739876e-05 #> [11731,] 2.725744e-05 2.622490e-05 2.851899e-05 2.973054e-05 2.906709e-05 #> [11732,] 2.917958e-05 2.807662e-05 3.210955e-05 3.642911e-05 3.753564e-05 #> [11733,] 2.182367e-04 2.657903e-04 2.975879e-04 3.301417e-04 1.759687e-04 #> [11734,] 3.565211e-05 4.698588e-05 8.703368e-05 6.739925e-05 6.491977e-05 #> [11735,] 3.280130e-05 3.350360e-05 3.264641e-05 3.531076e-05 3.371365e-05 #> [11736,] 2.683333e-05 2.971289e-05 2.939883e-05 2.867111e-05 2.825301e-05 #> [11737,] 3.338198e-05 3.703536e-05 3.336483e-05 3.269592e-05 3.394592e-05 #> [11738,] 1.200953e-04 1.211537e-04 4.441236e-05 4.626646e-05 3.437237e-05 #> [11739,] 5.397979e-05 4.948799e-05 6.158640e-05 6.306326e-05 5.978184e-05 #> [11740,] 3.130011e-05 3.819556e-05 4.974192e-05 3.476352e-05 3.646453e-05 #> [11741,] 2.181928e-05 2.332660e-05 2.022003e-05 2.163399e-05 2.127386e-05 #> [11742,] 2.538480e-05 2.711039e-05 3.037037e-05 3.020119e-05 3.424867e-05 #> [11743,] 3.721079e-05 3.445497e-05 2.841334e-05 2.702459e-05 2.712907e-05 #> [11744,] 2.668841e-05 2.518747e-05 2.806311e-05 3.100863e-05 2.700812e-05 #> [11745,] 3.569081e-05 3.390186e-05 3.650721e-05 3.933840e-05 4.316048e-05 #> [11746,] 2.036479e-05 2.401153e-05 3.275994e-05 2.761167e-05 2.826318e-05 #> [11747,] 6.903981e-05 5.456559e-05 4.250612e-05 4.904876e-05 4.795201e-05 #> [11748,] 2.545076e-05 2.509181e-05 2.662759e-05 3.046628e-05 3.103643e-05 #> [11749,] 4.088944e-05 3.662471e-05 3.834127e-05 4.640674e-05 4.676836e-05 #> [11750,] 2.675581e-05 2.771735e-05 3.298056e-05 2.880882e-05 3.025627e-05 #> [11751,] 3.216986e-05 3.858265e-05 4.476821e-05 4.583172e-05 3.601349e-05 #> [11752,] 6.987256e-05 8.585591e-05 6.388315e-05 6.267427e-05 7.109241e-05 #> [11753,] 2.838474e-05 3.357142e-05 4.082027e-05 3.065261e-05 3.318138e-05 #> [11754,] 2.286597e-05 2.300357e-05 2.283725e-05 2.379939e-05 2.528762e-05 #> [11755,] 5.081453e-05 4.704261e-05 5.577144e-05 5.250701e-05 4.746975e-05 #> [11756,] 4.594848e-05 4.331664e-05 3.491412e-05 3.774662e-05 4.715730e-05 #> [11757,] 2.824776e-05 3.224695e-05 3.588648e-05 3.438986e-05 3.571565e-05 #> [11758,] 2.882441e-05 3.166765e-05 3.439166e-05 3.515295e-05 3.659018e-05 #> [11759,] 3.316227e-05 4.530130e-05 6.750092e-05 4.078083e-05 4.279757e-05 #> [11760,] 2.510030e-05 2.748584e-05 2.637833e-05 2.681861e-05 2.810531e-05 #> [11761,] 5.593433e-05 8.362075e-05 1.433676e-04 1.537147e-04 1.420772e-04 #> [11762,] 3.251176e-05 2.994221e-05 4.463966e-05 4.435675e-05 3.917463e-05 #> [11763,] 2.238450e-04 2.842236e-04 2.848646e-04 2.747856e-04 1.931405e-04 #> [11764,] 5.327543e-05 7.118920e-05 5.672248e-05 6.015155e-05 6.394181e-05 #> [11765,] 5.730846e-05 5.487418e-05 5.610428e-05 7.608552e-05 7.964415e-05 #> [11766,] 1.744527e-03 1.771772e-03 2.004747e-03 2.127536e-03 1.825964e-03 #> [11767,] 3.541180e-05 4.052638e-05 3.605140e-05 4.043067e-05 5.286352e-05 #> [11768,] 2.409843e-05 2.344639e-05 2.587267e-05 3.097767e-05 2.908260e-05 #> [11769,] 6.936617e-05 8.242801e-05 7.659301e-05 8.546705e-05 7.403450e-05 #> [11770,] 4.968238e-05 5.105476e-05 4.316122e-05 5.426248e-05 7.748230e-05 #> [11771,] 2.469069e-05 2.351648e-05 2.676504e-05 3.171581e-05 2.997275e-05 #> [11772,] 4.131372e-05 3.535425e-05 6.368397e-05 6.324246e-05 7.439978e-05 #> [11773,] 8.590732e-05 6.833017e-05 8.618416e-05 1.219791e-04 9.466162e-05 #> [11774,] 2.868244e-05 2.948832e-05 2.832386e-05 3.100262e-05 3.105524e-05 #> [11775,] 3.004112e-05 2.933251e-05 3.138468e-05 3.407143e-05 3.321121e-05 #> [11776,] 2.679092e-05 3.001054e-05 3.327255e-05 3.120297e-05 3.244102e-05 #> [11777,] 5.287027e-05 6.306303e-05 5.808558e-05 5.799302e-05 6.178291e-05 #> [11778,] 2.867036e-05 2.763896e-05 3.100640e-05 3.322442e-05 3.062610e-05 #> [11779,] 5.134846e-05 4.869019e-05 9.699796e-05 8.749599e-05 6.210161e-05 #> [11780,] 3.932055e-05 4.165134e-05 3.768685e-05 3.627451e-05 3.606381e-05 #> [11781,] 9.528573e-05 7.558107e-05 6.915206e-05 6.402921e-05 7.313772e-05 #> [11782,] 2.471425e-05 2.396620e-05 2.671661e-05 2.899930e-05 2.838049e-05 #> [11783,] 2.868750e-05 2.732887e-05 2.760034e-05 2.826043e-05 2.988406e-05 #> [11784,] 3.740672e-05 3.987136e-05 4.761868e-05 4.632792e-05 4.023213e-05 #> [11785,] 3.138924e-05 2.846553e-05 3.223127e-05 3.213344e-05 3.579577e-05 #> [11786,] 3.765638e-05 3.338270e-05 3.212328e-05 3.466543e-05 2.967484e-05 #> [11787,] 3.052898e-05 2.806717e-05 3.436515e-05 3.535772e-05 3.148650e-05 #> [11788,] 4.127808e-05 4.002906e-05 3.002317e-05 3.229081e-05 3.327509e-05 #> [11789,] 2.303817e-05 2.131097e-05 2.398192e-05 2.593213e-05 2.609360e-05 #> [11790,] 3.842749e-05 5.489724e-05 9.919689e-05 1.548555e-04 1.944372e-04 #> [11791,] 4.205831e-04 1.343970e-04 1.461694e-04 1.097240e-04 6.219090e-05 #> [11792,] 2.632702e-05 2.637815e-05 2.547945e-05 2.716383e-05 2.745108e-05 #> [11793,] 2.753087e-05 2.676308e-05 2.810003e-05 3.289396e-05 3.296559e-05 #> [11794,] 4.017046e-05 4.614722e-05 4.975865e-05 4.319834e-05 4.510754e-05 #> [11795,] 8.655453e-05 6.977321e-05 3.105332e-05 3.549315e-05 3.327064e-05 #> [11796,] 4.862170e-05 4.031308e-05 5.740601e-05 4.564626e-05 4.091383e-05 #> [11797,] 3.083172e-05 3.471900e-05 3.224822e-05 3.174825e-05 3.272491e-05 #> [11798,] 2.428913e-05 2.301363e-05 2.519966e-05 2.907143e-05 2.817672e-05 #> [11799,] 2.409129e-05 2.322313e-05 2.815293e-05 3.207187e-05 3.016433e-05 #> [11800,] 3.093193e-05 3.182373e-05 3.634616e-05 4.804072e-05 7.048609e-05 #> [11801,] 2.869525e-05 2.973294e-05 2.889388e-05 2.962143e-05 2.914969e-05 #> [11802,] 2.837789e-05 2.855941e-05 2.688753e-05 3.029249e-05 3.040533e-05 #> [11803,] 4.084035e-05 4.109070e-05 3.889141e-05 3.728637e-05 3.882688e-05 #> [11804,] 7.581921e-05 8.114854e-05 5.802809e-05 4.930430e-05 5.638564e-05 #> [11805,] 3.839780e-05 3.223382e-05 5.759706e-05 6.632239e-05 5.519823e-05 #> [11806,] 2.745847e-05 2.615231e-05 2.945368e-05 3.178822e-05 3.012490e-05 #> [11807,] 5.919710e-05 9.954008e-05 1.579167e-04 1.576621e-04 1.138741e-04 #> [11808,] 2.474020e-05 2.416325e-05 2.385087e-05 2.641906e-05 2.832518e-05 #> [11809,] 1.574952e-04 9.770829e-05 1.078525e-04 1.397013e-04 1.043267e-04 #> [11810,] 2.751839e-05 2.661525e-05 2.942486e-05 3.082073e-05 3.002354e-05 #> [11811,] 7.792596e-05 7.172617e-05 4.031443e-05 5.819133e-05 8.360561e-05 #> [11812,] 4.000707e-05 4.381229e-05 3.640228e-05 4.347932e-05 5.237216e-05 #> [11813,] 2.399825e-04 3.210217e-04 5.167129e-04 5.836336e-04 3.608173e-04 #> [11814,] 3.006462e-05 3.004913e-05 3.838533e-05 3.788833e-05 3.239756e-05 #> [11815,] 2.692075e-05 3.057453e-05 2.862786e-05 2.746669e-05 2.409316e-05 #> [11816,] 3.668297e-05 3.297123e-05 3.795212e-05 3.539579e-05 3.304876e-05 #> [11817,] 2.248895e-03 1.995413e-03 1.789323e-03 1.767467e-03 1.024479e-03 #> [11818,] 1.699035e-04 1.591237e-04 2.799393e-04 2.508631e-04 2.538921e-04 #> [11819,] 3.504705e-05 3.917881e-05 5.210627e-05 4.700232e-05 4.098744e-05 #> [11820,] 2.809808e-05 2.672319e-05 3.045772e-05 3.491795e-05 2.948144e-05 #> [11821,] 3.968087e-05 3.770330e-05 4.204644e-05 4.299392e-05 4.071248e-05 #> [11822,] 2.444891e-04 2.125140e-04 1.098177e-04 1.072307e-04 1.169321e-04 #> [11823,] 6.985805e-05 6.954546e-05 4.429964e-05 4.057442e-05 3.920393e-05 #> [11824,] 5.058368e-05 3.331689e-05 3.902592e-05 3.753485e-05 3.176479e-05 #> [11825,] 2.661098e-05 2.568778e-05 3.046505e-05 3.388319e-05 2.990642e-05 #> [11826,] 2.872360e-05 3.014420e-05 3.526237e-05 3.696018e-05 3.427681e-05 #> [11827,] 9.720274e-05 1.562498e-04 1.667607e-04 1.509246e-04 1.535714e-04 #> [11828,] 2.532026e-05 2.578986e-05 2.707328e-05 2.862477e-05 2.915007e-05 #> [11829,] 7.727872e-04 6.223426e-04 2.715934e-04 3.199667e-04 3.020533e-04 #> [11830,] 3.388554e-05 3.352157e-05 4.718256e-05 5.032947e-05 5.034638e-05 #> [11831,] 9.769233e-05 1.427105e-04 2.721259e-04 2.713212e-04 3.064244e-04 #> [11832,] 4.880369e-05 3.756296e-05 7.510991e-05 9.664759e-05 1.051230e-04 #> [11833,] 2.764016e-05 2.670025e-05 3.004713e-05 2.963594e-05 2.742037e-05 #> [11834,] 3.264506e-05 4.199634e-05 4.588507e-05 3.824993e-05 3.770262e-05 #> [11835,] 4.314059e-05 5.047959e-05 2.895951e-05 2.950121e-05 3.132400e-05 #> [11836,] 3.033284e-05 2.924189e-05 3.157523e-05 3.092927e-05 3.318999e-05 #> [11837,] 2.717022e-05 3.112426e-05 3.600142e-05 2.955460e-05 3.036923e-05 #> [11838,] 2.041210e-04 1.922920e-04 3.062656e-04 3.673252e-04 5.357238e-04 #> [11839,] 2.526679e-05 2.455545e-05 2.840193e-05 2.936629e-05 2.802977e-05 #> [11840,] 2.977489e-05 3.234342e-05 4.189521e-05 3.862203e-05 3.397945e-05 #> [11841,] 3.466440e-05 3.767912e-05 5.269762e-05 4.876413e-05 4.298329e-05 #> [11842,] 2.336029e-05 2.569479e-05 3.200885e-05 3.703701e-05 3.989921e-05 #> [11843,] 2.688079e-05 2.737259e-05 2.917299e-05 2.859347e-05 2.950533e-05 #> [11844,] 2.655109e-05 2.960281e-05 3.108207e-05 3.381371e-05 3.350588e-05 #> [11845,] 4.460211e-05 3.360955e-05 6.822924e-05 4.670698e-05 2.563669e-05 #> [11846,] 5.337047e-05 3.852795e-05 4.183298e-05 4.410227e-05 3.741653e-05 #> [11847,] 2.182695e-04 3.273665e-04 4.703122e-04 3.513104e-04 2.517921e-04 #> [11848,] 2.709106e-05 2.465609e-05 2.988067e-05 3.379760e-05 3.502363e-05 #> [11849,] 2.807597e-05 2.759163e-05 3.119410e-05 3.008373e-05 3.077309e-05 #> [11850,] 1.710311e-04 2.176535e-04 1.712357e-04 1.307248e-04 1.431283e-04 #> [11851,] 3.104722e-05 3.156564e-05 3.170181e-05 3.468465e-05 3.465088e-05 #> [11852,] 2.479954e-05 2.490648e-05 2.595902e-05 2.451125e-05 2.311512e-05 #> [11853,] 2.814802e-05 2.715605e-05 2.778307e-05 3.040854e-05 3.076971e-05 #> [11854,] 1.062206e-04 1.199542e-04 1.930440e-04 1.759938e-04 1.600901e-04 #> [11855,] 2.484627e-05 2.486161e-05 2.554074e-05 2.547733e-05 2.568190e-05 #> [11856,] 3.273517e-05 2.554517e-05 2.999257e-05 3.067961e-05 2.943112e-05 #> [11857,] 3.608289e-05 3.952889e-05 3.950694e-05 3.852857e-05 3.616719e-05 #> [11858,] 2.346435e-05 2.359268e-05 2.643572e-05 2.744188e-05 2.649750e-05 #> [11859,] 2.560420e-05 2.487786e-05 2.584206e-05 2.818481e-05 2.828118e-05 #> [11860,] 3.527476e-04 3.037304e-04 5.186679e-05 8.167076e-05 8.867024e-05 #> [11861,] 3.250256e-05 2.968762e-05 3.371291e-05 3.830942e-05 3.568886e-05 #> [11862,] 2.991020e-05 2.661620e-05 2.643917e-05 3.110703e-05 3.475856e-05 #> [11863,] 2.168832e-05 2.007256e-05 1.977098e-05 2.101437e-05 2.084586e-05 #> [11864,] 2.616267e-05 2.703151e-05 2.661002e-05 2.943590e-05 3.072638e-05 #> [11865,] 2.559103e-05 2.530944e-05 3.042827e-05 3.120753e-05 2.828001e-05 #> [11866,] 3.003819e-05 3.555334e-05 4.658172e-05 3.460194e-05 3.591270e-05 #> [11867,] 2.547049e-05 2.597982e-05 2.999475e-05 4.218919e-05 3.039681e-05 #> [11868,] 3.460110e-05 3.854552e-05 4.100366e-05 3.824669e-05 3.877184e-05 #> [11869,] 2.696947e-05 2.709822e-05 2.759293e-05 3.072684e-05 3.516352e-05 #> [11870,] 2.535399e-05 2.307416e-05 2.375869e-05 2.504855e-05 2.303943e-05 #> [11871,] 8.442896e-05 8.590993e-05 5.965429e-05 5.692961e-05 7.163248e-05 #> [11872,] 8.705080e-04 9.421924e-04 1.897629e-03 1.855906e-03 1.362976e-03 #> [11873,] 4.666045e-05 6.175471e-05 7.358780e-05 6.283476e-05 5.241412e-05 #> [11874,] 2.993626e-05 2.854587e-05 3.252904e-05 3.343769e-05 3.184833e-05 #> [11875,] 2.517271e-05 2.316351e-05 2.594776e-05 2.906917e-05 2.760897e-05 #> [11876,] 1.106301e-04 1.006523e-04 1.383603e-04 1.716526e-04 2.577634e-04 #> [11877,] 2.676993e-05 2.638092e-05 3.108586e-05 3.126153e-05 2.907228e-05 #> [11878,] 2.927712e-05 3.308046e-05 3.017970e-05 3.314519e-05 3.354833e-05 #> [11879,] 3.518699e-05 3.159926e-05 3.724003e-05 3.824681e-05 3.525282e-05 #> [11880,] 4.544471e-05 4.999756e-05 3.809259e-05 3.936525e-05 3.899025e-05 #> [11881,] 2.799648e-05 2.840755e-05 2.618309e-05 2.793130e-05 2.758697e-05 #> [11882,] 2.827832e-05 2.672770e-05 2.890229e-05 2.958657e-05 2.987118e-05 #> [11883,] 3.946232e-05 3.476533e-05 3.127996e-05 3.633024e-05 3.935147e-05 #> [11884,] 2.558933e-05 2.447381e-05 2.483385e-05 2.780108e-05 2.541206e-05 #> [11885,] 1.193255e-04 1.220639e-04 1.012322e-04 1.211822e-04 1.218610e-04 #> [11886,] 2.705605e-05 2.508917e-05 2.538613e-05 2.745733e-05 2.828795e-05 #> [11887,] 2.356442e-05 2.279237e-05 2.427401e-05 2.341153e-05 2.402524e-05 #> [11888,] 3.060683e-05 3.335057e-05 3.838965e-05 4.048559e-05 4.924730e-05 #> [11889,] 3.938208e-05 3.802757e-05 5.488430e-05 5.405190e-05 5.034249e-05 #> [11890,] 2.545601e-05 2.451854e-05 2.242144e-05 2.581214e-05 2.660149e-05 #> [11891,] 3.354051e-05 3.352377e-05 3.898591e-05 3.954026e-05 3.675124e-05 #> [11892,] 4.158434e-05 4.010357e-05 3.873908e-05 3.557780e-05 3.753814e-05 #> [11893,] 3.049711e-05 2.875536e-05 3.065335e-05 3.247902e-05 3.296729e-05 #> [11894,] 3.088638e-05 2.768875e-05 4.291756e-05 5.163806e-05 4.570579e-05 #> [11895,] 2.974163e-05 2.813524e-05 3.109696e-05 3.552087e-05 3.055412e-05 #> [11896,] 4.465868e-05 5.029920e-05 7.903827e-05 7.333073e-05 7.565799e-05 #> [11897,] 2.483122e-05 2.560251e-05 2.375295e-05 2.644238e-05 2.583655e-05 #> [11898,] 8.089916e-05 1.047436e-04 1.182402e-04 8.321595e-05 7.438726e-05 #> [11899,] 4.858663e-05 3.922588e-05 6.389933e-05 8.256836e-05 6.351421e-05 #> [11900,] 3.558658e-05 3.641799e-05 4.544147e-05 4.932174e-05 4.670484e-05 #> [11901,] 4.208947e-05 4.177251e-05 5.485125e-05 6.554421e-05 7.048152e-05 #> [11902,] 2.697231e-05 2.671860e-05 2.937966e-05 3.588387e-05 3.818902e-05 #> [11903,] 3.090195e-05 2.999829e-05 2.885204e-05 3.018069e-05 3.196177e-05 #> [11904,] 5.564677e-05 7.565498e-05 1.318680e-04 1.240679e-04 7.560764e-05 #> [11905,] 7.440426e-05 5.101717e-05 3.181252e-05 4.305473e-05 6.365018e-05 #> [11906,] 2.389401e-05 2.324066e-05 2.431243e-05 2.573775e-05 2.793950e-05 #> [11907,] 2.535819e-05 2.619344e-05 3.368088e-05 3.215742e-05 2.998435e-05 #> [11908,] 2.948937e-05 3.083550e-05 3.691970e-05 3.206807e-05 3.115701e-05 #> [11909,] 2.875633e-04 1.464264e-04 7.176682e-05 7.855126e-05 7.445400e-05 #> [11910,] 3.536291e-05 3.401052e-05 3.121421e-05 3.131748e-05 2.722299e-05 #> [11911,] 1.306887e-04 1.225951e-04 1.598710e-04 1.750019e-04 1.665159e-04 #> [11912,] 8.977846e-05 6.985809e-05 1.141249e-04 1.206581e-04 9.239458e-05 #> [11913,] 3.357300e-05 3.008483e-05 2.832368e-05 3.287508e-05 2.748063e-05 #> [11914,] 3.011946e-05 2.909546e-05 3.106477e-05 3.325581e-05 3.036829e-05 #> [11915,] 2.648967e-05 2.429226e-05 2.503619e-05 2.604461e-05 2.560055e-05 #> [11916,] 2.742141e-05 3.273458e-05 3.222951e-05 2.952687e-05 2.973312e-05 #> [11917,] 4.173750e-05 4.070877e-05 4.209090e-05 4.050742e-05 4.085783e-05 #> [11918,] 3.107122e-05 3.367494e-05 3.827399e-05 3.256464e-05 3.450445e-05 #> [11919,] 3.540327e-05 3.764467e-05 4.309307e-05 4.245709e-05 3.053477e-05 #> [11920,] 1.314308e-04 1.284538e-04 1.880486e-04 1.572324e-04 1.388807e-04 #> [11921,] 2.646064e-05 2.441240e-05 2.478652e-05 2.534199e-05 2.745885e-05 #> [11922,] 6.508018e-04 7.611044e-04 8.460342e-04 7.356840e-04 6.795210e-04 #> [11923,] 1.833049e-03 1.845710e-03 2.159971e-03 2.231966e-03 2.007195e-03 #> [11924,] 2.964658e-05 2.910228e-05 3.123615e-05 3.334404e-05 3.088391e-05 #> [11925,] 2.891632e-05 3.091292e-05 3.781018e-05 4.589631e-05 7.088652e-05 #> [11926,] 8.633709e-05 7.068409e-05 7.232188e-05 6.919485e-05 5.632396e-05 #> [11927,] 2.573226e-05 2.356824e-05 2.601776e-05 2.697911e-05 2.795319e-05 #> [11928,] 4.978039e-05 1.206949e-04 4.426550e-05 7.127626e-05 7.431257e-05 #> [11929,] 2.498930e-05 2.523832e-05 2.636909e-05 2.602668e-05 2.567218e-05 #> [11930,] 2.755506e-05 2.892326e-05 3.357897e-05 3.327432e-05 3.075978e-05 #> [11931,] 4.422271e-05 5.435763e-05 6.781036e-05 5.909396e-05 5.348525e-05 #> [11932,] 2.659426e-05 2.494164e-05 3.142992e-05 3.261077e-05 3.260080e-05 #> [11933,] 2.455951e-05 2.528052e-05 2.903327e-05 3.080478e-05 3.126771e-05 #> [11934,] 1.205707e-04 8.981107e-05 1.111454e-04 1.286981e-04 9.955255e-05 #> [11935,] 3.370584e-05 4.604211e-05 5.406885e-05 3.956977e-05 3.691299e-05 #> [11936,] 3.948456e-05 4.237972e-05 3.803195e-05 3.921198e-05 4.370929e-05 #> [11937,] 1.006337e-04 5.728558e-05 7.044214e-05 5.851143e-05 6.605399e-05 #> [11938,] 9.301224e-05 7.622690e-05 9.805113e-05 1.040135e-04 5.626023e-05 #> [11939,] 2.773033e-05 2.853188e-05 3.439311e-05 3.668655e-05 3.423636e-05 #> [11940,] 2.457262e-05 2.560737e-05 2.976094e-05 2.687014e-05 2.529307e-05 #> [11941,] 2.635667e-04 1.592633e-04 1.185781e-04 1.308676e-04 1.485683e-04 #> [11942,] 1.194266e-04 5.318019e-05 4.287689e-05 4.674233e-05 4.010284e-05 #> [11943,] 8.836374e-05 4.341541e-05 3.674255e-05 3.072772e-05 3.168780e-05 #> [11944,] 2.616774e-05 2.567805e-05 3.242206e-05 3.263721e-05 3.230064e-05 #> [11945,] 2.768721e-05 2.866489e-05 3.168854e-05 3.436372e-05 3.435916e-05 #> [11946,] 2.586379e-05 3.564517e-05 4.258385e-05 3.093842e-05 3.150660e-05 #> [11947,] 3.176513e-05 4.426004e-05 3.174319e-05 2.794080e-05 4.526084e-05 #> [11948,] 6.901004e-05 1.075164e-04 7.318509e-05 8.175551e-05 1.616049e-04 #> [11949,] 3.067175e-05 3.089370e-05 3.260826e-05 3.350048e-05 3.367867e-05 #> [11950,] 6.922641e-05 5.785191e-05 7.875621e-05 9.560699e-05 8.782776e-05 #> [11951,] 2.937644e-05 2.841050e-05 3.509150e-05 3.631956e-05 3.866119e-05 #> [11952,] 2.306317e-05 2.420754e-05 2.359952e-05 2.466666e-05 2.436281e-05 #> [11953,] 1.031454e-03 1.256282e-03 8.266937e-04 8.675925e-04 7.500818e-04 #> [11954,] 2.842804e-05 2.843493e-05 3.059648e-05 3.069879e-05 3.193765e-05 #> [11955,] 2.215764e-04 1.934408e-04 1.384262e-04 1.251808e-04 1.123350e-04 #> [11956,] 9.177345e-05 1.923362e-04 2.391069e-04 1.916168e-04 2.705656e-04 #> [11957,] 9.965158e-04 7.508723e-04 4.600989e-04 4.059986e-04 3.029936e-04 #> [11958,] 5.673015e-05 1.054987e-04 7.632409e-05 5.246917e-05 6.440772e-05 #> [11959,] 7.792054e-05 9.820039e-05 9.262698e-05 8.763384e-05 7.815480e-05 #> [11960,] 2.874300e-05 2.712365e-05 3.023683e-05 3.066086e-05 3.179893e-05 #> [11961,] 2.971301e-05 2.830006e-05 3.907089e-05 4.213970e-05 4.814855e-05 #> [11962,] 3.317888e-05 3.137972e-05 3.951512e-05 5.093757e-05 6.902190e-05 #> [11963,] 7.950233e-05 1.337520e-04 1.044432e-04 8.517253e-05 9.184693e-05 #> [11964,] 3.165453e-05 2.635875e-05 3.160851e-05 3.955257e-05 3.735897e-05 #> [11965,] 4.980061e-05 4.878153e-05 6.673066e-05 6.715933e-05 7.905132e-05 #> [11966,] 1.273037e-04 1.029703e-04 1.609434e-04 1.761160e-04 1.639961e-04 #> [11967,] 6.449169e-05 4.470696e-05 6.060126e-05 5.806916e-05 5.032385e-05 #> [11968,] 2.472012e-05 2.539465e-05 2.442446e-05 2.486203e-05 2.487818e-05 #> [11969,] 2.789900e-05 2.772420e-05 2.674871e-05 2.778245e-05 2.913061e-05 #> [11970,] 2.847959e-05 2.862635e-05 3.195907e-05 3.673608e-05 3.983392e-05 #> [11971,] 3.952908e-05 3.827686e-05 4.090960e-05 3.947598e-05 3.889466e-05 #> [11972,] 2.825323e-05 2.643765e-05 2.941203e-05 3.029182e-05 3.126963e-05 #> [11973,] 2.678660e-05 2.548392e-05 2.548907e-05 2.636145e-05 2.719214e-05 #> [11974,] 2.511542e-05 2.536601e-05 2.472019e-05 2.574230e-05 2.666060e-05 #> [11975,] 2.694367e-05 2.711582e-05 2.528888e-05 2.683484e-05 2.783374e-05 #> [11976,] 4.334335e-05 5.088359e-05 6.370200e-05 6.322347e-05 6.083128e-05 #> [11977,] 3.860765e-05 3.428686e-05 4.154957e-05 4.294081e-05 3.739696e-05 #> [11978,] 5.837888e-05 4.403698e-05 5.039451e-05 5.146727e-05 8.217786e-05 #> [11979,] 3.092780e-04 4.731649e-04 5.722116e-04 3.315860e-04 1.987402e-04 #> [11980,] 3.003642e-05 2.972154e-05 3.158075e-05 3.279355e-05 3.166610e-05 #> [11981,] 4.965977e-05 3.781411e-05 4.469827e-05 5.169935e-05 6.292719e-05 #> [11982,] 2.722338e-05 2.663595e-05 2.727075e-05 3.006010e-05 2.868856e-05 #> [11983,] 2.411817e-05 2.434489e-05 2.600155e-05 2.907709e-05 3.143808e-05 #> [11984,] 2.572762e-05 2.823815e-05 3.227049e-05 3.163754e-05 2.995508e-05 #> [11985,] 2.563906e-05 2.764912e-05 2.662719e-05 2.585225e-05 2.680746e-05 #> [11986,] 5.085846e-05 4.532695e-05 3.989753e-05 4.716454e-05 4.264571e-05 #> [11987,] 3.372249e-05 3.818936e-05 4.029749e-05 4.292819e-05 4.174066e-05 #> [11988,] 2.572827e-05 2.561457e-05 2.213279e-05 2.673527e-05 2.644201e-05 #> [11989,] 4.236952e-05 2.510821e-05 3.469871e-05 4.893157e-05 3.574891e-05 #> [11990,] 2.020920e-05 2.007784e-05 2.105641e-05 2.196105e-05 2.142639e-05 #> [11991,] 2.363995e-05 2.400269e-05 2.456716e-05 2.676864e-05 2.870000e-05 #> [11992,] 2.101747e-04 1.020646e-04 1.272846e-04 1.243834e-04 1.484343e-04 #> [11993,] 2.245984e-05 2.354700e-05 2.408898e-05 2.643582e-05 2.577391e-05 #> [11994,] 2.181354e-05 2.218397e-05 2.279812e-05 2.630468e-05 2.562979e-05 #> [11995,] 1.239637e-03 1.116475e-03 1.088066e-03 1.120917e-03 1.100156e-03 #> [11996,] 7.453122e-05 1.137923e-04 8.109083e-05 7.125316e-05 6.726369e-05 #> [11997,] 2.621599e-05 2.619672e-05 2.837359e-05 3.103873e-05 2.956732e-05 #> [11998,] 3.492479e-05 3.860557e-05 3.604232e-05 3.436692e-05 3.375876e-05 #> [11999,] 3.004757e-05 2.818441e-05 2.373970e-05 2.660777e-05 3.139224e-05 #> [12000,] 2.113954e-03 1.699386e-03 1.751402e-03 1.203096e-03 2.675591e-04 #> [12001,] 2.923189e-05 3.532105e-05 3.129992e-05 3.189034e-05 2.986782e-05 #> [12002,] 3.250313e-05 3.218411e-05 2.938534e-05 2.910388e-05 2.950525e-05 #> [12003,] 2.516512e-05 2.392677e-05 2.543460e-05 2.692545e-05 2.856487e-05 #> [12004,] 2.377421e-05 2.536126e-05 2.756799e-05 2.766900e-05 3.054246e-05 #> [12005,] 9.673009e-05 8.303401e-05 9.254579e-05 9.137079e-05 8.824113e-05 #> [12006,] 3.588645e-05 6.129398e-05 7.136520e-05 9.515235e-05 2.468054e-04 #> [12007,] 2.490270e-05 2.571109e-05 2.354471e-05 2.512378e-05 2.719397e-05 #> [12008,] 3.520292e-05 3.017565e-05 3.102512e-05 3.751581e-05 4.177782e-05 #> [12009,] 2.550923e-05 2.436473e-05 2.284802e-05 2.438221e-05 2.887149e-05 #> [12010,] 2.382879e-05 2.856710e-05 3.082733e-05 3.208005e-05 3.154321e-05 #> [12011,] 3.343172e-05 4.106668e-05 3.718876e-05 3.745311e-05 4.718914e-05 #> [12012,] 2.916208e-05 3.132466e-05 3.002783e-05 3.174656e-05 5.163169e-05 #> [12013,] 2.565048e-05 3.165025e-05 3.617048e-05 3.268628e-05 3.146868e-05 #> [12014,] 2.264373e-05 2.139775e-05 2.197164e-05 2.211548e-05 2.104953e-05 #> [12015,] 2.751424e-05 2.556858e-05 2.958299e-05 3.302055e-05 3.432914e-05 #> [12016,] 4.759972e-05 5.684828e-05 3.364772e-05 3.857188e-05 3.341391e-05 #> [12017,] 5.706512e-05 4.767366e-05 3.502376e-05 3.477731e-05 3.400085e-05 #> [12018,] 1.785084e-04 1.087814e-04 1.066788e-04 1.005069e-04 6.880395e-05 #> [12019,] 2.403209e-05 2.278740e-05 2.318770e-05 2.452991e-05 2.621201e-05 #> [12020,] 2.532970e-05 2.309352e-05 2.522845e-05 2.864036e-05 2.763345e-05 #> [12021,] 2.529390e-05 2.713445e-05 2.860154e-05 2.695296e-05 2.824206e-05 #> [12022,] 3.227781e-05 3.645792e-05 3.411213e-05 3.365733e-05 3.425148e-05 #> [12023,] 5.270416e-05 5.310629e-05 4.444159e-05 3.913407e-05 3.798199e-05 #> [12024,] 2.754746e-05 2.982609e-05 3.120513e-05 2.959166e-05 2.880361e-05 #> [12025,] 3.412949e-04 6.684660e-04 1.459330e-03 1.274015e-03 7.899568e-04 #> [12026,] 2.572331e-05 2.527242e-05 2.476818e-05 2.290746e-05 2.294754e-05 #> [12027,] 2.932380e-05 3.127766e-05 3.156446e-05 3.447698e-05 3.775356e-05 #> [12028,] 2.838853e-04 3.697783e-04 2.811472e-04 2.648568e-04 2.291773e-04 #> [12029,] 2.242112e-05 2.113426e-05 2.273388e-05 2.418271e-05 2.501723e-05 #> [12030,] 5.614000e-05 4.930730e-05 5.418564e-05 6.182822e-05 6.061827e-05 #> [12031,] 2.348545e-04 2.773555e-04 3.327557e-04 2.702424e-04 3.042243e-04 #> [12032,] 1.059748e-04 9.627255e-05 7.869512e-05 1.011956e-04 1.077399e-04 #> [12033,] 1.393054e-04 1.511353e-04 8.023535e-05 6.977213e-05 9.171191e-05 #> [12034,] 2.380876e-05 2.092255e-05 2.071165e-05 2.085066e-05 2.144768e-05 #> [12035,] 2.741195e-05 2.990875e-05 3.023237e-05 3.047447e-05 3.022221e-05 #> [12036,] 3.071196e-05 3.039652e-05 3.995004e-05 4.637061e-05 4.476006e-05 #> [12037,] 7.170153e-05 8.601872e-05 8.709491e-05 8.425022e-05 7.977033e-05 #> [12038,] 2.826621e-05 2.941480e-05 2.923795e-05 3.009990e-05 2.926461e-05 #> [12039,] 2.646147e-05 2.675026e-05 2.647453e-05 2.916636e-05 2.845541e-05 #> [12040,] 4.607389e-05 5.652098e-05 4.899600e-05 4.867113e-05 5.411889e-05 #> [12041,] 2.551940e-04 2.194153e-04 1.781701e-04 1.470017e-04 1.459146e-04 #> [12042,] 2.372739e-05 2.242928e-05 2.320285e-05 2.344480e-05 2.220131e-05 #> [12043,] 2.676226e-05 2.523886e-05 2.572115e-05 2.825400e-05 2.987782e-05 #> [12044,] 3.961851e-05 3.058182e-05 3.983536e-05 4.306679e-05 3.960483e-05 #> [12045,] 5.047009e-05 5.020498e-05 5.139177e-05 4.431713e-05 4.627717e-05 #> [12046,] 4.612245e-05 4.428780e-05 4.309798e-05 4.382375e-05 4.496018e-05 #> [12047,] 3.651998e-05 3.158488e-05 3.187821e-05 3.395926e-05 3.541629e-05 #> [12048,] 6.632810e-05 7.311169e-05 5.463649e-05 6.413064e-05 6.887094e-05 #> [12049,] 7.131902e-05 4.263087e-05 3.666515e-05 3.702922e-05 3.428249e-05 #> [12050,] 2.647198e-05 2.684829e-05 4.063664e-05 4.191701e-05 4.809068e-05 #> [12051,] 2.457759e-05 2.644436e-05 2.839313e-05 2.839162e-05 2.822628e-05 #> [12052,] 4.241540e-05 4.074479e-05 4.688732e-05 5.437087e-05 6.307759e-05 #> [12053,] 2.569979e-05 2.408316e-05 2.635428e-05 2.921397e-05 2.756299e-05 #> [12054,] 2.913375e-05 2.519449e-05 3.254757e-05 3.130792e-05 3.031475e-05 #> [12055,] 2.726702e-05 2.429790e-05 2.458355e-05 2.914387e-05 2.765701e-05 #> [12056,] 4.467205e-05 8.092993e-05 3.740113e-04 1.289794e-04 4.382565e-05 #> [12057,] 5.460594e-05 4.584042e-05 4.184211e-05 4.243749e-05 4.156814e-05 #> [12058,] 4.573845e-05 3.987444e-05 8.983533e-05 1.266451e-04 1.066513e-04 #> [12059,] 6.153659e-05 5.674511e-05 4.774341e-05 6.309488e-05 9.165159e-05 #> [12060,] 4.705796e-05 4.568565e-05 8.320811e-05 9.340332e-05 8.274816e-05 #> [12061,] 3.155297e-05 3.428560e-05 5.058040e-05 4.617352e-05 3.213929e-05 #> [12062,] 3.509397e-05 3.952342e-05 3.069338e-05 3.354214e-05 3.251196e-05 #> [12063,] 2.664374e-05 2.450292e-05 2.679047e-05 3.122773e-05 2.957232e-05 #> [12064,] 2.728434e-05 3.005474e-05 2.917165e-05 2.972121e-05 2.787811e-05 #> [12065,] 2.480269e-05 2.627281e-05 2.414683e-05 2.678818e-05 2.552627e-05 #> [12066,] 3.639202e-05 3.991328e-05 3.096034e-05 3.617259e-05 3.467013e-05 #> [12067,] 2.627871e-05 2.846202e-05 2.348014e-05 2.628090e-05 2.427040e-05 #> [12068,] 3.510513e-05 5.765314e-05 4.438629e-05 4.109088e-05 4.145279e-05 #> [12069,] 2.999732e-05 2.819006e-05 3.122515e-05 3.079953e-05 2.994507e-05 #> [12070,] 6.555360e-04 4.393372e-04 3.036817e-04 2.417744e-04 2.665197e-04 #> [12071,] 4.395766e-04 4.587251e-04 4.846007e-04 5.261232e-04 5.127773e-04 #> [12072,] 8.088513e-05 8.053081e-05 5.058922e-05 6.077000e-05 6.433656e-05 #> [12073,] 2.485156e-05 2.722958e-05 3.136119e-05 2.808183e-05 3.064557e-05 #> [12074,] 7.752251e-05 6.360258e-05 9.542075e-05 1.002590e-04 8.597856e-05 #> [12075,] 2.313335e-04 2.732352e-04 1.663291e-04 1.509748e-04 1.163104e-04 #> [12076,] 3.317463e-05 5.818244e-05 3.184595e-05 3.388064e-05 3.292326e-05 #> [12077,] 2.842130e-05 2.695480e-05 2.756045e-05 3.036895e-05 3.377839e-05 #> [12078,] 2.968508e-05 3.287605e-05 3.254480e-05 3.374299e-05 4.272845e-05 #> [12079,] 2.357229e-05 2.366665e-05 2.344138e-05 2.569621e-05 2.439903e-05 #> [12080,] 3.291865e-05 3.142028e-05 3.593590e-05 3.344059e-05 3.360032e-05 #> [12081,] 3.296728e-05 2.946091e-05 2.899108e-05 2.977441e-05 3.067706e-05 #> [12082,] 2.371459e-05 2.439554e-05 2.591006e-05 3.047018e-05 2.786228e-05 #> [12083,] 1.130193e-03 1.000821e-03 2.650651e-04 2.390428e-04 1.524698e-04 #> [12084,] 2.942596e-05 3.011829e-05 3.283681e-05 3.546526e-05 3.354574e-05 #> [12085,] 3.936054e-05 4.699282e-05 1.022620e-04 9.140035e-05 7.374146e-05 #> [12086,] 9.163402e-05 9.363660e-05 8.331136e-05 8.853276e-05 9.982140e-05 #> [12087,] 1.311630e-04 7.323772e-05 9.278515e-05 1.031442e-04 8.923269e-05 #> [12088,] 2.416419e-05 2.533319e-05 2.852754e-05 3.106221e-05 2.967820e-05 #> [12089,] 2.499602e-05 2.669708e-05 3.654264e-05 3.971728e-05 4.501597e-05 #> [12090,] 2.600146e-05 2.607668e-05 2.710191e-05 3.141231e-05 3.239670e-05 #> [12091,] 2.457811e-05 2.672659e-05 2.862688e-05 2.631810e-05 2.647223e-05 #> [12092,] 9.624267e-05 6.944659e-05 5.096556e-05 4.943719e-05 5.356583e-05 #> [12093,] 3.711181e-05 4.060324e-05 3.609118e-05 3.459315e-05 3.102367e-05 #> [12094,] 5.809472e-05 4.927220e-05 3.829221e-05 4.186914e-05 4.454715e-05 #> [12095,] 1.013597e-03 4.233014e-04 2.455669e-04 3.385561e-04 2.844584e-04 #> [12096,] 2.941013e-05 3.075408e-05 3.282014e-05 3.365107e-05 3.176557e-05 #> [12097,] 1.682581e-04 1.922324e-04 1.977650e-04 1.882040e-04 1.489797e-04 #> [12098,] 2.205676e-05 2.381783e-05 2.294467e-05 2.560714e-05 2.390397e-05 #> [12099,] 2.397935e-05 2.626164e-05 2.867202e-05 2.640940e-05 2.415779e-05 #> [12100,] 5.298677e-05 5.290945e-05 4.475623e-05 5.755455e-05 6.203824e-05 #> [12101,] 1.648644e-04 3.690383e-04 1.310856e-04 1.209351e-04 1.393832e-04 #> [12102,] 2.826483e-05 2.837520e-05 3.411870e-05 3.399410e-05 3.051615e-05 #> [12103,] 1.531846e-04 2.115105e-04 2.062096e-04 2.292819e-04 1.895215e-04 #> [12104,] 2.731792e-05 2.828321e-05 3.236090e-05 3.227187e-05 3.018130e-05 #> [12105,] 2.424481e-05 2.444926e-05 2.456761e-05 2.721731e-05 2.703070e-05 #> [12106,] 3.118219e-05 3.283250e-05 5.360335e-05 4.913100e-05 4.818139e-05 #> [12107,] 2.553661e-05 2.838750e-05 2.858799e-05 2.654905e-05 2.920245e-05 #> [12108,] 3.084203e-05 2.869479e-05 3.466607e-05 3.659014e-05 3.326614e-05 #> [12109,] 4.101280e-05 1.157271e-04 1.062672e-04 1.235327e-04 1.386127e-04 #> [12110,] 2.460701e-05 2.538653e-05 2.488614e-05 2.664063e-05 2.649963e-05 #> [12111,] 2.555885e-05 2.473127e-05 2.842494e-05 3.196452e-05 3.371290e-05 #> [12112,] 3.117214e-04 2.432514e-04 1.921253e-04 1.592736e-04 1.229861e-04 #> [12113,] 3.302473e-05 3.133766e-05 3.131176e-05 3.132069e-05 3.451215e-05 #> [12114,] 2.752225e-05 2.867800e-05 2.928868e-05 3.044760e-05 2.964631e-05 #> [12115,] 1.173040e-04 8.805961e-05 1.020505e-04 1.057277e-04 7.237994e-05 #> [12116,] 2.099383e-05 2.226356e-05 2.235416e-05 2.318113e-05 2.363436e-05 #> [12117,] 7.020210e-05 6.334487e-05 5.430438e-05 5.661828e-05 6.013224e-05 #> [12118,] 2.284020e-05 3.085241e-05 3.407804e-05 2.796400e-05 3.069481e-05 #> [12119,] 2.834346e-05 2.795426e-05 2.781116e-05 2.778869e-05 2.843128e-05 #> [12120,] 2.727164e-05 2.772242e-05 2.615385e-05 2.680935e-05 2.607137e-05 #> [12121,] 2.897958e-05 2.955794e-05 2.755313e-05 3.003651e-05 3.028620e-05 #> [12122,] 3.189542e-05 3.419489e-05 3.027567e-05 3.360898e-05 3.057226e-05 #> [12123,] 2.890169e-05 2.802685e-05 3.104956e-05 3.294931e-05 2.965662e-05 #> [12124,] 3.037204e-04 2.694372e-04 5.410828e-04 5.559323e-04 3.598216e-04 #> [12125,] 3.307637e-05 3.271739e-05 3.780170e-05 3.627776e-05 3.214279e-05 #> [12126,] 3.763185e-05 3.587323e-05 2.830524e-05 2.841190e-05 2.971871e-05 #> [12127,] 2.795102e-05 2.694938e-05 3.159235e-05 3.206858e-05 2.909560e-05 #> [12128,] 3.445564e-05 3.246522e-05 3.543904e-05 3.312692e-05 3.202459e-05 #> [12129,] 3.413085e-05 3.204097e-05 2.815566e-05 2.920722e-05 3.035008e-05 #> [12130,] 4.678666e-05 3.963721e-05 4.414005e-05 4.664050e-05 4.251115e-05 #> [12131,] 3.227491e-05 3.356517e-05 3.762388e-05 3.995924e-05 3.701284e-05 #> [12132,] 2.322859e-05 2.397325e-05 2.630577e-05 2.588386e-05 2.747762e-05 #> [12133,] 3.509254e-05 3.627372e-05 3.745130e-05 4.371944e-05 4.789289e-05 #> [12134,] 4.635130e-05 5.456938e-05 5.742448e-05 6.547229e-05 8.024029e-05 #> [12135,] 2.716348e-05 2.786748e-05 2.860376e-05 2.929233e-05 3.005329e-05 #> [12136,] 2.752497e-05 2.734869e-05 2.703952e-05 3.032341e-05 3.087001e-05 #> [12137,] 9.058235e-05 8.837097e-05 1.389741e-04 1.352925e-04 1.625495e-04 #> [12138,] 2.138738e-05 2.131022e-05 2.204026e-05 2.159114e-05 2.124332e-05 #> [12139,] 3.303466e-05 3.487486e-05 3.281145e-05 3.756676e-05 4.360622e-05 #> [12140,] 2.467601e-05 2.615677e-05 3.009817e-05 2.829668e-05 3.003846e-05 #> [12141,] 2.659017e-05 2.931232e-05 4.038898e-05 3.572264e-05 3.823017e-05 #> [12142,] 3.197155e-05 3.028876e-05 2.866971e-05 3.397181e-05 3.422267e-05 #> [12143,] 2.391273e-05 2.616620e-05 2.827439e-05 2.785367e-05 2.860223e-05 #> [12144,] 2.892994e-05 3.030616e-05 3.122294e-05 3.220512e-05 3.079994e-05 #> [12145,] 1.049738e-04 9.845805e-05 2.229643e-04 2.003492e-04 2.233872e-04 #> [12146,] 2.421740e-05 2.557979e-05 2.721562e-05 2.985288e-05 2.880361e-05 #> [12147,] 4.808388e-05 4.824290e-05 9.995052e-05 6.591711e-05 6.714088e-05 #> [12148,] 3.007668e-05 2.735990e-05 3.153552e-05 3.059784e-05 3.160229e-05 #> [12149,] 3.719621e-05 7.136911e-05 8.648159e-05 1.061865e-04 1.330806e-04 #> [12150,] 3.102658e-05 3.366244e-05 3.085254e-05 3.326421e-05 3.238597e-05 #> [12151,] 2.600985e-05 2.512284e-05 2.519735e-05 2.628505e-05 2.781984e-05 #> [12152,] 2.176712e-05 2.126910e-05 2.684406e-05 2.804565e-05 3.026447e-05 #> [12153,] 2.405177e-05 2.457325e-05 2.755589e-05 2.895320e-05 2.909555e-05 #> [12154,] 2.564398e-05 2.789250e-05 2.931877e-05 2.783363e-05 2.899501e-05 #> [12155,] 1.655240e-04 1.827681e-04 2.421729e-04 2.068299e-04 1.258291e-04 #> [12156,] 2.418413e-05 2.612154e-05 2.444054e-05 2.659109e-05 2.735955e-05 #> [12157,] 2.400203e-05 2.473359e-05 2.833895e-05 3.019720e-05 2.874818e-05 #> [12158,] 3.186337e-05 3.802478e-05 2.933429e-05 3.348886e-05 5.089406e-05 #> [12159,] 2.238955e-05 2.192747e-05 2.386479e-05 2.394191e-05 2.257684e-05 #> [12160,] 4.177819e-05 4.803424e-05 3.927781e-05 3.769431e-05 3.295806e-05 #> [12161,] 4.461198e-05 4.468093e-05 4.829209e-05 4.956365e-05 5.372652e-05 #> [12162,] 2.597080e-05 2.755497e-05 2.990014e-05 2.750207e-05 3.004240e-05 #> [12163,] 3.988056e-05 4.259405e-05 6.102941e-05 1.095791e-04 1.347366e-04 #> [12164,] 7.322353e-05 6.794379e-05 9.830741e-05 1.077016e-04 1.109769e-04 #> [12165,] 2.395828e-05 2.407145e-05 2.633432e-05 2.987974e-05 2.764797e-05 #> [12166,] 2.566230e-05 2.416992e-05 2.486265e-05 2.946055e-05 2.599699e-05 #> [12167,] 2.226369e-05 2.194488e-05 2.204348e-05 2.294017e-05 2.478490e-05 #> [12168,] 2.928570e-05 3.124077e-05 2.921289e-05 3.141068e-05 3.402553e-05 #> [12169,] 7.820730e-05 5.171325e-05 4.189002e-05 3.893359e-05 3.955213e-05 #> [12170,] 2.584763e-05 2.720996e-05 3.097726e-05 3.127282e-05 3.202616e-05 #> [12171,] 4.811382e-05 6.047061e-05 5.185112e-05 5.689152e-05 5.404777e-05 #> [12172,] 3.747290e-05 3.683095e-05 4.746113e-05 4.512455e-05 4.253446e-05 #> [12173,] 3.006126e-05 2.707898e-05 2.620611e-05 2.670867e-05 2.657253e-05 #> [12174,] 2.149860e-04 3.188134e-04 5.559136e-04 4.946251e-04 3.894529e-04 #> [12175,] 2.851086e-05 2.702876e-05 3.009096e-05 3.015879e-05 2.965492e-05 #> [12176,] 6.714323e-05 9.145355e-05 9.069622e-05 1.746594e-04 3.183860e-04 #> [12177,] 6.184434e-05 7.850031e-05 6.397779e-05 6.395569e-05 7.202372e-05 #> [12178,] 1.261731e-04 4.111830e-04 1.056861e-04 6.059413e-05 4.840361e-05 #> [12179,] 2.635218e-05 2.786900e-05 3.290542e-05 3.163194e-05 3.112299e-05 #> [12180,] 2.081678e-05 2.161647e-05 2.231658e-05 2.266513e-05 2.220432e-05 #> [12181,] 2.438216e-05 2.523695e-05 2.427386e-05 2.396381e-05 2.405521e-05 #> [12182,] 2.662259e-05 2.694571e-05 2.670704e-05 2.720407e-05 2.639667e-05 #> [12183,] 2.287911e-05 2.196481e-05 2.504307e-05 2.738654e-05 2.948008e-05 #> [12184,] 2.696023e-05 2.800429e-05 3.275228e-05 3.225905e-05 3.691656e-05 #> [12185,] 2.453720e-05 2.466815e-05 2.803086e-05 2.828811e-05 2.779319e-05 #> [12186,] 2.917146e-05 3.122682e-05 4.540591e-05 4.300436e-05 4.026908e-05 #> [12187,] 5.296486e-05 4.096128e-05 9.558927e-05 9.865225e-05 6.887089e-05 #> [12188,] 6.061962e-05 4.695545e-05 7.960476e-05 8.518104e-05 6.889134e-05 #> [12189,] 3.529294e-05 4.209497e-05 5.473102e-05 5.742599e-05 3.947103e-05 #> [12190,] 3.744965e-04 2.516769e-04 1.433121e-04 1.409427e-04 1.049824e-04 #> [12191,] 6.765800e-05 7.102823e-05 4.243660e-05 4.385111e-05 3.839217e-05 #> [12192,] 1.928019e-04 2.669884e-04 2.267050e-04 1.973964e-04 2.875002e-04 #> [12193,] 2.329722e-05 2.281643e-05 2.462160e-05 2.479145e-05 2.460385e-05 #> [12194,] 2.041085e-05 2.052030e-05 2.116796e-05 2.045426e-05 2.118544e-05 #> [12195,] 3.184916e-05 2.958052e-05 2.835614e-05 2.645081e-05 3.178952e-05 #> [12196,] 2.428888e-05 2.589032e-05 2.920080e-05 2.858920e-05 2.873724e-05 #> [12197,] 9.473622e-05 6.682258e-05 6.738494e-05 7.342043e-05 7.048711e-05 #> [12198,] 6.985315e-05 7.509350e-05 1.866288e-04 1.535109e-04 1.154678e-04 #> [12199,] 2.727952e-05 3.117261e-05 6.471834e-05 6.831990e-05 7.803883e-05 #> [12200,] 2.541191e-05 3.003857e-05 4.863214e-05 4.353013e-05 4.856965e-05 #> [12201,] 3.217413e-05 3.053952e-05 3.123253e-05 3.468836e-05 3.282190e-05 #> [12202,] 2.829316e-05 2.983540e-05 3.463137e-05 3.438953e-05 3.355616e-05 #> [12203,] 3.990252e-05 3.624259e-05 2.933456e-05 2.764086e-05 2.665325e-05 #> [12204,] 2.610494e-05 2.519687e-05 2.906759e-05 3.170848e-05 2.816933e-05 #> [12205,] 2.688209e-05 2.847932e-05 3.194399e-05 3.360149e-05 3.183260e-05 #> [12206,] 2.631095e-05 3.315973e-05 3.872492e-05 3.627304e-05 4.206682e-05 #> [12207,] 2.370474e-05 2.433214e-05 2.318087e-05 2.229771e-05 2.535550e-05 #> [12208,] 2.685874e-05 2.868946e-05 3.730864e-05 2.888250e-05 2.933047e-05 #> [12209,] 2.387608e-05 2.407103e-05 2.216122e-05 2.303675e-05 2.335791e-05 #> [12210,] 2.757407e-05 2.769725e-05 2.764978e-05 2.823827e-05 2.692340e-05 #> [12211,] 4.800048e-05 5.438968e-05 6.808787e-05 7.614860e-05 6.317808e-05 #> [12212,] 6.714451e-05 6.398572e-05 8.690358e-05 1.011743e-04 1.033540e-04 #> [12213,] 2.408469e-05 2.404509e-05 2.881753e-05 3.224186e-05 3.089070e-05 #> [12214,] 2.189810e-05 2.328843e-05 2.389562e-05 2.330986e-05 2.324715e-05 #> [12215,] 2.385744e-05 2.419251e-05 2.702037e-05 2.822681e-05 2.961381e-05 #> [12216,] 2.508647e-05 2.625110e-05 2.840129e-05 2.718061e-05 2.925861e-05 #> [12217,] 2.366551e-05 2.470031e-05 2.593301e-05 2.730287e-05 2.609524e-05 #> [12218,] 2.908816e-05 3.000514e-05 2.882095e-05 3.820257e-05 2.978522e-05 #> [12219,] 3.274290e-05 3.393471e-05 4.055003e-05 3.746185e-05 3.780458e-05 #> [12220,] 2.690755e-05 2.520625e-05 2.571305e-05 2.988705e-05 3.152934e-05 #> [12221,] 2.607910e-05 3.155308e-05 4.921140e-05 4.213108e-05 4.335889e-05 #> [12222,] 2.607923e-05 2.569840e-05 2.755016e-05 2.840663e-05 2.891500e-05 #> [12223,] 2.783632e-05 2.633588e-05 3.092123e-05 2.993426e-05 2.987264e-05 #> [12224,] 4.753957e-05 3.709616e-05 2.903436e-05 2.891302e-05 3.161313e-05 #> [12225,] 3.681144e-05 3.464375e-05 3.242337e-05 3.096832e-05 3.024807e-05 #> [12226,] 4.412877e-05 5.037599e-05 4.350530e-05 3.394028e-05 3.244531e-05 #> [12227,] 2.417145e-05 2.802713e-05 3.015145e-05 2.733013e-05 2.947514e-05 #> [12228,] 2.501686e-05 2.505462e-05 2.971833e-05 2.968770e-05 2.809813e-05 #> [12229,] 9.428849e-05 1.086479e-04 3.188132e-04 3.505816e-04 5.014086e-04 #> [12230,] 7.388308e-05 1.462755e-04 6.831622e-05 5.005660e-05 5.631759e-05 #> [12231,] 3.107744e-05 3.298147e-05 2.919440e-05 2.840580e-05 2.825239e-05 #> [12232,] 2.717808e-05 2.703666e-05 2.945508e-05 2.882324e-05 2.882060e-05 #> [12233,] 6.559162e-05 7.834865e-05 5.435885e-05 5.963137e-05 6.821374e-05 #> [12234,] 3.436706e-05 3.396588e-05 3.515330e-05 3.878609e-05 4.048013e-05 #> [12235,] 2.319561e-05 2.516732e-05 4.562099e-05 4.442846e-05 3.986331e-05 #> [12236,] 1.278253e-04 1.210547e-04 1.658935e-04 2.506257e-04 2.296552e-04 #> [12237,] 3.451984e-05 3.962836e-05 3.568505e-05 3.693598e-05 3.720234e-05 #> [12238,] 4.821397e-05 4.245464e-05 5.030480e-05 4.091340e-05 3.956387e-05 #> [12239,] 2.773816e-05 2.960266e-05 4.073185e-05 3.622642e-05 3.468303e-05 #> [12240,] 2.346239e-05 2.331801e-05 2.241627e-05 2.451235e-05 2.539912e-05 #> [12241,] 2.764318e-05 2.835598e-05 2.990700e-05 3.056136e-05 3.177600e-05 #> [12242,] 3.499600e-05 4.163326e-05 4.932547e-05 6.424917e-05 6.872414e-05 #> [12243,] 2.486177e-05 2.701571e-05 3.394941e-05 3.390333e-05 3.221552e-05 #> [12244,] 2.349127e-05 2.645435e-05 2.170735e-05 2.289089e-05 2.466677e-05 #> [12245,] 2.685918e-05 2.617356e-05 2.716778e-05 3.291808e-05 3.328820e-05 #> [12246,] 3.952674e-05 4.080535e-05 3.931153e-05 4.196607e-05 4.435295e-05 #> [12247,] 2.673418e-05 2.469427e-05 2.265893e-05 2.564415e-05 2.476994e-05 #> [12248,] 6.747797e-05 5.883985e-05 6.780339e-05 6.804876e-05 5.575123e-05 #> [12249,] 3.553324e-04 3.907336e-04 2.550822e-04 1.700180e-04 1.634723e-04 #> [12250,] 2.722786e-05 3.984439e-05 3.033540e-05 3.112217e-05 3.097524e-05 #> [12251,] 2.539735e-05 2.428746e-05 2.466097e-05 2.782511e-05 2.886504e-05 #> [12252,] 3.357345e-05 3.807179e-05 6.381594e-05 5.188008e-05 4.573397e-05 #> [12253,] 3.266976e-05 3.314710e-05 3.902473e-05 3.842230e-05 3.432068e-05 #> [12254,] 2.507301e-05 2.585205e-05 2.840173e-05 2.943860e-05 2.932015e-05 #> [12255,] 2.358955e-05 2.459869e-05 2.555556e-05 2.760247e-05 2.774537e-05 #> [12256,] 2.445350e-05 2.343258e-05 2.357067e-05 2.555081e-05 2.699942e-05 #> [12257,] 2.075946e-05 2.077995e-05 2.122923e-05 2.208799e-05 2.126618e-05 #> [12258,] 2.745961e-05 2.580715e-05 2.375637e-05 2.312581e-05 2.356091e-05 #> [12259,] 2.287186e-05 2.296156e-05 2.512951e-05 2.673463e-05 3.050470e-05 #> [12260,] 2.900092e-05 3.184608e-05 3.522818e-05 3.333517e-05 4.044382e-05 #> [12261,] 2.450856e-05 2.681698e-05 3.022392e-05 2.808012e-05 2.962708e-05 #> [12262,] 2.447287e-05 2.614976e-05 2.788360e-05 2.623643e-05 2.815341e-05 #> [12263,] 5.604718e-05 6.247453e-05 1.042018e-04 8.650717e-05 9.505284e-05 #> [12264,] 6.909385e-05 4.983615e-05 5.657774e-05 6.166733e-05 5.354308e-05 #> [12265,] 2.695051e-05 2.710992e-05 3.034334e-05 3.477510e-05 3.562061e-05 #> [12266,] 1.569358e-03 1.254779e-03 1.212415e-03 1.273155e-03 1.174135e-03 #> [12267,] 2.916653e-05 2.718537e-05 3.405196e-05 3.025299e-05 3.086225e-05 #> [12268,] 2.602250e-05 2.517525e-05 2.599136e-05 2.623416e-05 2.610120e-05 #> [12269,] 2.313433e-05 2.358346e-05 2.297258e-05 2.236123e-05 2.594512e-05 #> [12270,] 2.310190e-05 2.572756e-05 2.455995e-05 2.634004e-05 2.627659e-05 #> [12271,] 5.291918e-05 9.121360e-05 5.220029e-05 5.392875e-05 4.522536e-05 #> [12272,] 4.468903e-05 4.698100e-05 5.741907e-05 5.040832e-05 4.757556e-05 #> [12273,] 4.577887e-05 5.449092e-05 1.937761e-04 1.646355e-04 1.436992e-04 #> [12274,] 2.392026e-05 2.322047e-05 2.312361e-05 2.255400e-05 2.452762e-05 #> [12275,] 3.922485e-05 3.523024e-05 2.941671e-05 3.018903e-05 3.178539e-05 #> [12276,] 2.526729e-05 2.698981e-05 2.907613e-05 2.782204e-05 2.885296e-05 #> [12277,] 3.021229e-05 3.190391e-05 3.020798e-05 2.923836e-05 2.970411e-05 #> [12278,] 6.495731e-05 7.349778e-05 7.080651e-05 8.346178e-05 1.405965e-04 #> [12279,] 2.123252e-04 2.354925e-04 1.541226e-04 1.745250e-04 1.879535e-04 #> [12280,] 4.606659e-05 4.789459e-05 3.346888e-05 3.681526e-05 3.535311e-05 #> [12281,] 2.190914e-05 2.202611e-05 2.379667e-05 2.392957e-05 2.473097e-05 #> [12282,] 2.639426e-05 2.621300e-05 2.376997e-05 2.386561e-05 2.482834e-05 #> [12283,] 3.233995e-05 3.537574e-05 4.054976e-05 3.608343e-05 3.559352e-05 #> [12284,] 5.509551e-05 5.536680e-05 5.957911e-05 5.455032e-05 5.083753e-05 #> [12285,] 3.359633e-05 4.396692e-05 5.774790e-05 6.328208e-05 6.581161e-05 #> [12286,] 2.458681e-05 2.460810e-05 2.515517e-05 2.662584e-05 2.791293e-05 #> [12287,] 2.530295e-05 2.181311e-05 2.251676e-05 2.183874e-05 2.227487e-05 #> [12288,] 2.409338e-05 2.594664e-05 3.767089e-05 3.434921e-05 2.870107e-05 #> [12289,] 2.637343e-05 2.452227e-05 2.336398e-05 2.275178e-05 2.329178e-05 #> [12290,] 2.513299e-05 2.556378e-05 2.977652e-05 2.995141e-05 2.905118e-05 #> [12291,] 2.723630e-05 3.029646e-05 2.958850e-05 2.930831e-05 2.937750e-05 #> [12292,] 2.975341e-05 3.074340e-05 3.345849e-05 3.046575e-05 3.148547e-05 #> [12293,] 2.666133e-05 2.630158e-05 2.934763e-05 2.848783e-05 2.744985e-05 #> [12294,] 2.339136e-05 2.281111e-05 2.343105e-05 2.287360e-05 2.373533e-05 #> [12295,] 4.127080e-05 9.296649e-05 8.831755e-05 5.350262e-05 3.146326e-05 #> [12296,] 3.052861e-05 3.803165e-05 4.172405e-05 3.724845e-05 3.768510e-05 #> [12297,] 2.591834e-05 2.868514e-05 2.842946e-05 2.763300e-05 2.670615e-05 #> [12298,] 4.499521e-05 4.456872e-05 4.225494e-05 4.775104e-05 5.415155e-05 #> [12299,] 3.545874e-05 3.649508e-05 4.074288e-05 3.586206e-05 3.478566e-05 #> [12300,] 2.652397e-05 2.944294e-05 3.496576e-05 3.076740e-05 3.296906e-05 #> [12301,] 3.333558e-05 2.794846e-05 3.126959e-05 3.037475e-05 2.901172e-05 #> [12302,] 2.313532e-05 2.580286e-05 2.822384e-05 2.536214e-05 2.800742e-05 #> [12303,] 2.883184e-05 2.708986e-05 3.106732e-05 3.260549e-05 3.122846e-05 #> [12304,] 2.720092e-05 2.548168e-05 2.682445e-05 2.736788e-05 2.705530e-05 #> [12305,] 2.258317e-05 2.230799e-05 2.532972e-05 2.442166e-05 2.612980e-05 #> [12306,] 2.837594e-05 3.477849e-05 3.962252e-05 3.174781e-05 3.340584e-05 #> [12307,] 3.310678e-05 3.265012e-05 3.722761e-05 3.477999e-05 4.077256e-05 #> [12308,] 2.476988e-05 3.041617e-05 2.524249e-05 2.466278e-05 2.691167e-05 #> [12309,] 3.451090e-05 3.343580e-05 3.649713e-05 3.944851e-05 3.703013e-05 #> [12310,] 3.055104e-05 3.780918e-05 4.567185e-05 3.914138e-05 3.136903e-05 #> [12311,] 9.000422e-05 9.246236e-05 5.934704e-05 5.154097e-05 6.472175e-05 #> [12312,] 2.245062e-05 2.230918e-05 2.422214e-05 2.465150e-05 2.542317e-05 #> [12313,] 4.669515e-05 3.739826e-05 4.006223e-05 3.946140e-05 3.276719e-05 #> [12314,] 2.908626e-05 3.273550e-05 5.864012e-05 5.361279e-05 5.135884e-05 #> [12315,] 2.568377e-05 2.589560e-05 2.698024e-05 2.841126e-05 3.057033e-05 #> [12316,] 2.434916e-05 2.609153e-05 2.543734e-05 2.343950e-05 2.566348e-05 #> [12317,] 6.198696e-04 5.657894e-04 3.701879e-04 3.839168e-04 3.636506e-04 #> [12318,] 4.568342e-05 2.611037e-05 3.293965e-05 3.111624e-05 3.081067e-05 #> [12319,] 6.616950e-05 4.838862e-05 3.562056e-05 4.665298e-05 8.046067e-05 #> [12320,] 2.981609e-05 3.048354e-05 3.162888e-05 3.327397e-05 3.283609e-05 #> [12321,] 2.140035e-05 2.443764e-05 2.697452e-05 2.975330e-05 3.020901e-05 #> [12322,] 2.501425e-05 2.577266e-05 2.498163e-05 2.556838e-05 2.559799e-05 #> [12323,] 2.280157e-05 2.385451e-05 2.233271e-05 2.527562e-05 2.507293e-05 #> [12324,] 2.745425e-05 2.943187e-05 4.022898e-05 3.623355e-05 3.311137e-05 #> [12325,] 2.347262e-05 2.303130e-05 2.431382e-05 2.563887e-05 2.502601e-05 #> [12326,] 2.411956e-05 2.569938e-05 2.658883e-05 2.589092e-05 2.662330e-05 #> [12327,] 6.782954e-05 3.771272e-05 4.869635e-05 5.667682e-05 4.910346e-05 #> [12328,] 3.869444e-05 3.038296e-05 3.114605e-05 3.115308e-05 3.276479e-05 #> [12329,] 1.944727e-04 3.206659e-04 6.405383e-04 5.899642e-04 5.715347e-04 #> [12330,] 2.625786e-05 2.818101e-05 2.760168e-05 2.800823e-05 2.781164e-05 #> [12331,] 2.214121e-05 2.366568e-05 2.564955e-05 2.371249e-05 2.433232e-05 #> [12332,] 2.428170e-05 2.426977e-05 2.750594e-05 2.972670e-05 2.977416e-05 #> [12333,] 2.971315e-05 3.011294e-05 3.170249e-05 3.316493e-05 3.407805e-05 #> [12334,] 4.766824e-05 4.346547e-05 5.466192e-05 7.161976e-05 8.083495e-05 #> [12335,] 2.837640e-05 2.910732e-05 4.310861e-05 4.258315e-05 3.706676e-05 #> [12336,] 2.465683e-05 2.432856e-05 2.522478e-05 2.647283e-05 2.598202e-05 #> [12337,] 2.628010e-05 2.431123e-05 2.596170e-05 3.296815e-05 3.547972e-05 #> [12338,] 4.814841e-05 4.152759e-05 5.739988e-05 6.900144e-05 1.002930e-04 #> [12339,] 9.263720e-05 9.825065e-05 7.571710e-05 7.568419e-05 9.001746e-05 #> [12340,] 2.653174e-05 2.656362e-05 2.666303e-05 2.706081e-05 3.341488e-05 #> [12341,] 3.083160e-05 3.001900e-05 3.507866e-05 4.035131e-05 4.174699e-05 #> [12342,] 2.632658e-05 2.668717e-05 3.039264e-05 3.129938e-05 3.077543e-05 #> [12343,] 3.179314e-04 3.503400e-04 3.243797e-04 3.004143e-04 2.967868e-04 #> [12344,] 2.579689e-05 2.717541e-05 3.559171e-05 3.522820e-05 3.497616e-05 #> [12345,] 2.514758e-05 2.544569e-05 2.526223e-05 2.825760e-05 3.075059e-05 #> [12346,] 2.408527e-05 2.352836e-05 2.486702e-05 2.489770e-05 2.594383e-05 #> [12347,] 2.409779e-05 2.590854e-05 2.798644e-05 2.661300e-05 2.723094e-05 #> [12348,] 2.591791e-05 2.640385e-05 2.862341e-05 3.095193e-05 2.892732e-05 #> [12349,] 2.065864e-05 2.022135e-05 2.151054e-05 2.161502e-05 2.303579e-05 #> [12350,] 5.054449e-05 8.926228e-05 6.551321e-05 5.463730e-05 5.356258e-05 #> [12351,] 3.205166e-05 3.728420e-05 3.420845e-05 3.677569e-05 3.051943e-05 #> [12352,] 3.478885e-05 3.527333e-05 4.130621e-05 3.636180e-05 3.404518e-05 #> [12353,] 2.983553e-05 2.419972e-05 2.537795e-05 3.031873e-05 2.803571e-05 #> [12354,] 2.996701e-05 3.815327e-05 3.393879e-05 3.398615e-05 3.464358e-05 #> [12355,] 5.250965e-05 1.139531e-04 6.361047e-05 5.142603e-05 4.697496e-05 #> [12356,] 2.804814e-05 3.356636e-05 3.779177e-05 3.624636e-05 3.093302e-05 #> [12357,] 3.119931e-05 3.558201e-05 3.583806e-05 3.764904e-05 3.188466e-05 #> [12358,] 2.381351e-05 2.482517e-05 2.619715e-05 2.996780e-05 2.820266e-05 #> [12359,] 2.715498e-05 3.544863e-05 2.649690e-05 2.991368e-05 2.593629e-05 #> [12360,] 3.052689e-05 2.694566e-05 2.728237e-05 3.043466e-05 2.796657e-05 #> [12361,] 2.821826e-05 2.823989e-05 2.867828e-05 3.117641e-05 2.891575e-05 #> [12362,] 2.412812e-05 2.489486e-05 2.393039e-05 2.429492e-05 2.524960e-05 #> [12363,] 2.686928e-05 2.914311e-05 2.934637e-05 2.986496e-05 2.859662e-05 #> [12364,] 2.342406e-05 2.278983e-05 2.428782e-05 2.531634e-05 2.682959e-05 #> [12365,] 2.660214e-05 2.664509e-05 2.798380e-05 3.114047e-05 3.296154e-05 #> [12366,] 2.473332e-05 2.432491e-05 2.739318e-05 2.694731e-05 2.584169e-05 #> [12367,] 2.438663e-05 2.407058e-05 2.476804e-05 2.714019e-05 3.079647e-05 #> [12368,] 5.235559e-05 7.957300e-05 1.282853e-04 1.377329e-04 1.396774e-04 #> [12369,] 2.305526e-05 2.441630e-05 2.609418e-05 2.514991e-05 2.672100e-05 #> [12370,] 3.896823e-05 4.027657e-05 3.987750e-05 3.871995e-05 3.649611e-05 #> [12371,] 4.710937e-05 5.874097e-05 7.226169e-05 6.082288e-05 4.644838e-05 #> [12372,] 2.435549e-05 2.021921e-05 2.215267e-05 2.132043e-05 2.240132e-05 #> [12373,] 2.602190e-05 2.536628e-05 2.616658e-05 2.830130e-05 2.769558e-05 #> [12374,] 6.787328e-05 6.986542e-05 1.028318e-04 9.271003e-05 6.770524e-05 #> [12375,] 2.541494e-05 2.284336e-05 2.503242e-05 2.414134e-05 2.300186e-05 #> [12376,] 6.088372e-05 6.897413e-05 4.708294e-05 6.364279e-05 6.251928e-05 #> [12377,] 1.516102e-04 2.171751e-04 2.327819e-04 2.465727e-04 1.745550e-04 #> [12378,] 2.859723e-05 3.228040e-05 4.000147e-05 3.650900e-05 3.354235e-05 #> [12379,] 3.426008e-05 4.642296e-05 4.641052e-05 3.646730e-05 3.703107e-05 #> [12380,] 2.920937e-05 2.896086e-05 6.426240e-05 7.144136e-05 6.173450e-05 #> [12381,] 2.467869e-05 2.352218e-05 2.662193e-05 2.725663e-05 2.928483e-05 #> [12382,] 2.444485e-05 2.345946e-05 2.361512e-05 2.564076e-05 2.554434e-05 #> [12383,] 2.809598e-05 2.826733e-05 3.873504e-05 3.620855e-05 3.576836e-05 #> [12384,] 3.578753e-05 4.544886e-05 4.699462e-05 3.608744e-05 3.301528e-05 #> [12385,] 3.767479e-05 3.093488e-05 3.131075e-05 3.057824e-05 3.365549e-05 #> [12386,] 3.025250e-05 3.209510e-05 3.394132e-05 4.338573e-05 5.160480e-05 #> [12387,] 4.114990e-05 3.784893e-05 4.413110e-05 3.662933e-05 3.164083e-05 #> [12388,] 2.548572e-05 2.386461e-05 2.696785e-05 2.755220e-05 3.096531e-05 #> [12389,] 2.827134e-05 2.628352e-05 2.896768e-05 3.050567e-05 3.146987e-05 #> [12390,] 2.526606e-05 2.554025e-05 2.696113e-05 3.129647e-05 3.305775e-05 #> [12391,] 2.876334e-04 4.244263e-04 1.660615e-04 9.938619e-05 1.259201e-04 #> [12392,] 2.650985e-05 2.895154e-05 3.045501e-05 3.332387e-05 3.213304e-05 #> [12393,] 2.639430e-05 2.906180e-05 3.343273e-05 3.003331e-05 3.131221e-05 #> [12394,] 2.126040e-05 2.230135e-05 2.125320e-05 2.286476e-05 2.285560e-05 #> [12395,] 2.584320e-05 2.584055e-05 3.100351e-05 3.233870e-05 2.949944e-05 #> [12396,] 2.671452e-05 3.174603e-05 4.681947e-05 3.493217e-05 3.399306e-05 #> [12397,] 2.657356e-05 2.838193e-05 3.229030e-05 3.409214e-05 3.536507e-05 #> [12398,] 3.779990e-05 4.920195e-05 3.976337e-05 3.572660e-05 4.003789e-05 #> [12399,] 2.480925e-05 2.304626e-05 2.319124e-05 2.568309e-05 2.638180e-05 #> [12400,] 2.831317e-05 2.713551e-05 3.139298e-05 3.409124e-05 3.615949e-05 #> [12401,] 1.746376e-04 2.533582e-04 2.619302e-04 4.181298e-04 6.345432e-04 #> [12402,] 2.374252e-05 2.339280e-05 2.392109e-05 2.582837e-05 2.821635e-05 #> [12403,] 2.693661e-05 2.708999e-05 2.720387e-05 3.133988e-05 3.174911e-05 #> [12404,] 3.449411e-05 3.429565e-05 3.344989e-05 3.299464e-05 2.925430e-05 #> [12405,] 2.837922e-04 1.546598e-04 1.666027e-04 1.763827e-04 1.425876e-04 #> [12406,] 1.337658e-04 1.279706e-04 1.372848e-04 1.816800e-04 8.641944e-05 #> [12407,] 2.188561e-04 1.781269e-04 1.533275e-04 2.112817e-04 1.275118e-04 #> [12408,] 2.853326e-05 2.485259e-05 3.024837e-05 3.123538e-05 2.950129e-05 #> [12409,] 4.175246e-05 4.683858e-05 6.527994e-05 7.939295e-05 6.015418e-05 #> [12410,] 2.771913e-05 2.931146e-05 2.995917e-05 2.983665e-05 3.166732e-05 #> [12411,] 5.667268e-05 1.046573e-04 1.026888e-04 8.336414e-05 7.800443e-05 #> [12412,] 2.889971e-05 3.008678e-05 4.691549e-05 4.335429e-05 3.316187e-05 #> [12413,] 2.401907e-05 2.450602e-05 2.359978e-05 2.768094e-05 2.799543e-05 #> [12414,] 2.441883e-05 2.458192e-05 2.781514e-05 2.963694e-05 3.095754e-05 #> [12415,] 2.933644e-05 2.706603e-05 2.683542e-05 2.477589e-05 2.878592e-05 #> [12416,] 3.737221e-05 3.636673e-05 3.751522e-05 3.573012e-05 3.488388e-05 #> [12417,] 2.739050e-05 2.879404e-05 3.442859e-05 3.639629e-05 3.299194e-05 #> [12418,] 2.450251e-05 2.705370e-05 2.575838e-05 2.577528e-05 3.291216e-05 #> [12419,] 4.213702e-05 3.831919e-05 3.987289e-05 3.920117e-05 3.675573e-05 #> [12420,] 2.248484e-05 2.199023e-05 2.294739e-05 2.277651e-05 2.336359e-05 #> [12421,] 6.850031e-05 7.985251e-05 8.790318e-05 9.702676e-05 7.583713e-05 #> [12422,] 2.914905e-05 2.979940e-05 3.160491e-05 3.247500e-05 3.216258e-05 #> [12423,] 2.791194e-05 2.599577e-05 2.889261e-05 3.261141e-05 2.970566e-05 #> [12424,] 2.831979e-05 2.649052e-05 3.110335e-05 3.196586e-05 2.928054e-05 #> [12425,] 3.878324e-05 4.518056e-05 4.658595e-05 4.550195e-05 4.414122e-05 #> [12426,] 2.317569e-05 3.583572e-05 7.244481e-05 6.273686e-05 7.174314e-05 #> [12427,] 3.175079e-05 3.301124e-05 2.772140e-05 2.798567e-05 2.939911e-05 #> [12428,] 2.546745e-05 2.436766e-05 2.523735e-05 2.837820e-05 2.760438e-05 #> [12429,] 2.789363e-05 3.110471e-05 4.871327e-05 4.192449e-05 3.727975e-05 #> [12430,] 3.590059e-05 3.719167e-05 3.836424e-05 3.369430e-05 3.348538e-05 #> [12431,] 2.175670e-05 2.012990e-05 2.298079e-05 2.476879e-05 2.686748e-05 #> [12432,] 2.881799e-05 3.040672e-05 3.029883e-05 3.271897e-05 3.471627e-05 #> [12433,] 4.352964e-05 3.569163e-05 4.038394e-05 4.076815e-05 3.860316e-05 #> [12434,] 6.922591e-05 6.521165e-05 5.900394e-05 7.075239e-05 1.465431e-04 #> [12435,] 2.913477e-05 2.778744e-05 2.805427e-05 2.899456e-05 3.031021e-05 #> [12436,] 2.497087e-05 2.965571e-05 2.690460e-05 2.487753e-05 2.844759e-05 #> [12437,] 4.659019e-05 4.142685e-05 4.991332e-05 4.720671e-05 4.148059e-05 #> [12438,] 3.069774e-05 2.934923e-05 3.263363e-05 3.419704e-05 3.143374e-05 #> [12439,] 2.910109e-05 2.885899e-05 2.937346e-05 3.013154e-05 2.886377e-05 #> [12440,] 7.229630e-05 7.210342e-05 5.512876e-05 7.093158e-05 6.699049e-05 #> [12441,] 7.622638e-05 1.261736e-04 1.445586e-04 2.398189e-04 2.611734e-04 #> [12442,] 2.609404e-05 2.652209e-05 2.431094e-05 2.518041e-05 2.599288e-05 #> [12443,] 2.617970e-05 2.487331e-05 3.049322e-05 3.316768e-05 3.221791e-05 #> [12444,] 2.498802e-05 2.620047e-05 3.941758e-05 3.839497e-05 4.420563e-05 #> [12445,] 2.554900e-05 2.722497e-05 2.818991e-05 2.775722e-05 3.663207e-05 #> [12446,] 5.229637e-05 6.394387e-05 3.846292e-05 4.148237e-05 3.777052e-05 #> [12447,] 6.243553e-05 6.281328e-05 6.645659e-05 6.786543e-05 5.660144e-05 #> [12448,] 3.542065e-05 3.537283e-05 4.324788e-05 4.722654e-05 3.893952e-05 #> [12449,] 3.425564e-05 4.256289e-05 3.492870e-05 3.459302e-05 4.057294e-05 #> [12450,] 2.353471e-05 2.575691e-05 2.857614e-05 2.966909e-05 2.866627e-05 #> [12451,] 4.044741e-05 3.301972e-05 3.079773e-05 3.588751e-05 3.990315e-05 #> [12452,] 2.748744e-05 2.641185e-05 2.784117e-05 2.876470e-05 2.910071e-05 #> [12453,] 2.520897e-05 2.667922e-05 2.911763e-05 3.374399e-05 3.442549e-05 #> [12454,] 4.217782e-05 4.261276e-05 4.991706e-05 5.376369e-05 4.789267e-05 #> [12455,] 2.567149e-05 2.681236e-05 3.128743e-05 3.079160e-05 3.107101e-05 #> [12456,] 4.187662e-05 3.462111e-05 3.010498e-05 3.078454e-05 3.194230e-05 #> [12457,] 6.116853e-05 7.025231e-05 5.550790e-05 5.664162e-05 5.979251e-05 #> [12458,] 2.862115e-05 3.044928e-05 3.901916e-05 4.147673e-05 3.722783e-05 #> [12459,] 2.464954e-05 2.611235e-05 2.884527e-05 3.056952e-05 2.917393e-05 #> [12460,] 2.722592e-05 2.943036e-05 3.173639e-05 3.193931e-05 3.079787e-05 #> [12461,] 8.551680e-05 8.546378e-05 6.523501e-05 5.635673e-05 5.303459e-05 #> [12462,] 2.390681e-05 2.409885e-05 2.546063e-05 2.710173e-05 2.837095e-05 #> [12463,] 3.857232e-05 4.045671e-05 4.256954e-05 4.745260e-05 4.232057e-05 #> [12464,] 2.455289e-05 2.341270e-05 2.248491e-05 2.560726e-05 2.704964e-05 #> [12465,] 2.442692e-05 2.469801e-05 2.347039e-05 2.542659e-05 2.650751e-05 #> [12466,] 3.105240e-05 3.366354e-05 3.564285e-05 3.729757e-05 4.124402e-05 #> [12467,] 1.205295e-04 1.456746e-04 2.267183e-04 1.826164e-04 2.340018e-04 #> [12468,] 1.926739e-03 1.991776e-03 2.192144e-03 2.051714e-03 1.905852e-03 #> [12469,] 3.895067e-05 3.594436e-05 3.329044e-05 3.234268e-05 3.730592e-05 #> [12470,] 3.327897e-05 3.289551e-05 3.785349e-05 3.837075e-05 3.563855e-05 #> [12471,] 3.257844e-05 3.236534e-05 2.856605e-05 2.882221e-05 3.220027e-05 #> [12472,] 2.788029e-05 2.993526e-05 2.696785e-05 2.712543e-05 2.978286e-05 #> [12473,] 2.695115e-05 2.778898e-05 3.055000e-05 3.344153e-05 3.194829e-05 #> [12474,] 2.499557e-05 2.478194e-05 2.675869e-05 3.002323e-05 2.921532e-05 #> [12475,] 2.564675e-05 3.026482e-05 3.662857e-05 3.074559e-05 3.159757e-05 #> [12476,] 2.785455e-05 2.618700e-05 2.635843e-05 3.069041e-05 3.438175e-05 #> [12477,] 2.882477e-05 2.754655e-05 3.267812e-05 4.061740e-05 3.526109e-05 #> [12478,] 2.700626e-05 2.682873e-05 2.473218e-05 2.706370e-05 2.523905e-05 #> [12479,] 2.469170e-05 2.812649e-05 3.110714e-05 3.056236e-05 3.091088e-05 #> [12480,] 3.595405e-05 3.737560e-05 3.740559e-05 3.407528e-05 4.047991e-05 #> [12481,] 2.831837e-05 2.827622e-05 3.312140e-05 3.258644e-05 3.111710e-05 #> [12482,] 1.053029e-04 8.249904e-05 2.576651e-05 2.989534e-05 3.108852e-05 #> [12483,] 2.693361e-05 2.652371e-05 2.567692e-05 2.752549e-05 2.731247e-05 #> [12484,] 8.440677e-05 7.033500e-05 5.133048e-05 7.127688e-05 9.208119e-05 #> [12485,] 2.490590e-05 2.134256e-05 2.376409e-05 2.610183e-05 2.704212e-05 #> [12486,] 2.540626e-05 2.673075e-05 2.691604e-05 2.999651e-05 3.153586e-05 #> [12487,] 2.718521e-05 2.818916e-05 3.069453e-05 2.957847e-05 3.171720e-05 #> [12488,] 2.096794e-05 2.280264e-05 2.486178e-05 2.658344e-05 2.696758e-05 #> [12489,] 2.549284e-05 2.730625e-05 2.551194e-05 2.702313e-05 2.911893e-05 #> [12490,] 4.842395e-05 5.925852e-05 4.278858e-05 3.711068e-05 2.738222e-05 #> [12491,] 3.369416e-05 3.410250e-05 2.942824e-05 3.035685e-05 3.709358e-05 #> [12492,] 2.653416e-05 2.458643e-05 2.653703e-05 2.981050e-05 2.842027e-05 #> [12493,] 2.872267e-05 3.017249e-05 3.544990e-05 3.371332e-05 3.128605e-05 #> [12494,] 3.015073e-05 4.219493e-05 3.434011e-05 3.136289e-05 3.578591e-05 #> [12495,] 2.153772e-05 2.244348e-05 2.387883e-05 2.258763e-05 2.313402e-05 #> [12496,] 7.876733e-04 5.678861e-04 3.043288e-04 2.957534e-04 4.038799e-04 #> [12497,] 3.123935e-05 2.779609e-05 3.770497e-05 3.529095e-05 4.418805e-05 #> [12498,] 2.824357e-05 3.326612e-05 5.569881e-05 5.152653e-05 5.347284e-05 #> [12499,] 2.208954e-05 2.335431e-05 2.264709e-05 2.128170e-05 2.257819e-05 #> [12500,] 2.545969e-05 2.542309e-05 2.332812e-05 2.505680e-05 2.552208e-05 #> [12501,] 2.454267e-05 2.508737e-05 2.674795e-05 2.844609e-05 2.953375e-05 #> [12502,] 3.309893e-05 3.694731e-05 3.515073e-05 3.415392e-05 3.083502e-05 #> [12503,] 7.891962e-05 1.376707e-04 2.157071e-04 2.533731e-04 3.092617e-04 #> [12504,] 2.410538e-05 2.551896e-05 2.553152e-05 2.693741e-05 2.979921e-05 #> [12505,] 3.315271e-05 2.948196e-05 3.406305e-05 3.128126e-05 3.226938e-05 #> [12506,] 4.495618e-04 4.404522e-04 9.447158e-05 1.040362e-04 1.146380e-04 #> [12507,] 2.708297e-05 3.178680e-05 3.447914e-05 3.396436e-05 3.167438e-05 #> [12508,] 2.994571e-05 4.093427e-05 1.122845e-04 8.856860e-05 2.102771e-04 #> [12509,] 2.067985e-05 2.007070e-05 2.093411e-05 2.295321e-05 2.127423e-05 #> [12510,] 2.227814e-05 2.063109e-05 2.184774e-05 2.346554e-05 2.387380e-05 #> [12511,] 3.101338e-05 2.903432e-05 3.007310e-05 2.886064e-05 3.029598e-05 #> [12512,] 8.736233e-05 6.560333e-05 3.159243e-05 3.871524e-05 4.377710e-05 #> [12513,] 3.400969e-05 3.115518e-05 3.156632e-05 2.949269e-05 2.953358e-05 #> [12514,] 1.554321e-04 9.212830e-05 1.488370e-04 1.221053e-04 9.170205e-05 #> [12515,] 2.378051e-05 2.322969e-05 2.269223e-05 2.429534e-05 2.422496e-05 #> [12516,] 2.936905e-05 3.108264e-05 3.693908e-05 3.750190e-05 3.782080e-05 #> [12517,] 4.823173e-05 5.374506e-05 5.480759e-05 4.273610e-05 3.952145e-05 #> [12518,] 2.423118e-05 2.412449e-05 2.539708e-05 2.821239e-05 2.986057e-05 #> [12519,] 3.489200e-05 1.079102e-04 3.513692e-05 3.301786e-05 2.462996e-05 #> [12520,] 2.393463e-05 2.134139e-05 2.085944e-05 2.103636e-05 2.165827e-05 #> [12521,] 2.288937e-05 2.356941e-05 2.350906e-05 2.440590e-05 2.491131e-05 #> [12522,] 2.456658e-05 2.484231e-05 2.896645e-05 2.974925e-05 2.732275e-05 #> [12523,] 2.372612e-05 2.166741e-05 2.137420e-05 2.067561e-05 2.099846e-05 #> [12524,] 2.701331e-05 2.365958e-05 2.371833e-05 2.421026e-05 2.569067e-05 #> [12525,] 4.874947e-05 3.506607e-05 3.145260e-05 3.281897e-05 3.111369e-05 #> [12526,] 2.520058e-05 2.423548e-05 2.552090e-05 2.903599e-05 3.064219e-05 #> [12527,] 4.243659e-05 4.207157e-05 3.439595e-05 4.308271e-05 9.693411e-05 #> [12528,] 2.347890e-05 2.492124e-05 2.623659e-05 2.808081e-05 2.995528e-05 #> [12529,] 2.843338e-05 2.637630e-05 2.823883e-05 2.990775e-05 3.084086e-05 #> [12530,] 5.110275e-05 4.725812e-05 4.949053e-05 5.543839e-05 6.646139e-05 #> [12531,] 1.031941e-04 9.355593e-05 4.340220e-05 4.465179e-05 4.537208e-05 #> [12532,] 3.219504e-05 3.225202e-05 2.903974e-05 3.017584e-05 2.986999e-05 #> [12533,] 3.011147e-05 2.642248e-05 2.855148e-05 3.030074e-05 2.915779e-05 #> [12534,] 2.265920e-05 2.421798e-05 2.259422e-05 2.491606e-05 2.612830e-05 #> [12535,] 6.073313e-05 5.338994e-05 3.844967e-05 4.900849e-05 4.983821e-05 #> [12536,] 2.227523e-05 2.163120e-05 2.191888e-05 2.308357e-05 2.262461e-05 #> [12537,] 6.314478e-05 4.085886e-05 6.177245e-05 6.499572e-05 5.596546e-05 #> [12538,] 2.875097e-05 2.783643e-05 2.917710e-05 3.360196e-05 3.929602e-05 #> [12539,] 2.876064e-05 2.602812e-05 2.674930e-05 3.026930e-05 3.199533e-05 #> [12540,] 2.624209e-05 2.693202e-05 2.445798e-05 2.637629e-05 2.543283e-05 #> [12541,] 1.784905e-04 1.064010e-04 3.612150e-05 4.307824e-05 5.432672e-05 #> [12542,] 2.812824e-05 3.124817e-05 3.429715e-05 3.882082e-05 3.861756e-05 #> [12543,] 3.137694e-05 3.248713e-05 3.631828e-05 3.473123e-05 3.641000e-05 #> [12544,] 2.279380e-04 1.976228e-04 9.265701e-05 8.119594e-05 1.208021e-04 #> [12545,] 2.429883e-05 2.367253e-05 2.302876e-05 2.539964e-05 2.804861e-05 #> [12546,] 3.856423e-05 3.417886e-05 4.497146e-05 4.919427e-05 4.098131e-05 #> [12547,] 3.766829e-05 2.978841e-05 3.086879e-05 2.958330e-05 3.070042e-05 #> [12548,] 2.205013e-05 2.238435e-05 2.465192e-05 2.640204e-05 2.556920e-05 #> [12549,] 2.457060e-05 2.368893e-05 2.472768e-05 2.839827e-05 3.197440e-05 #> [12550,] 3.055859e-05 4.008787e-05 3.989232e-05 4.100303e-05 5.798936e-05 #> [12551,] 2.205810e-05 2.075530e-05 2.353893e-05 2.433985e-05 2.564348e-05 #> [12552,] 3.602207e-05 3.130713e-05 3.984063e-05 4.967598e-05 4.322090e-05 #> [12553,] 2.347790e-05 2.412970e-05 2.653261e-05 2.879237e-05 2.750493e-05 #> [12554,] 2.537242e-05 2.453388e-05 2.423605e-05 2.702657e-05 2.984012e-05 #> [12555,] 2.380742e-05 2.450378e-05 2.620298e-05 2.618154e-05 2.729668e-05 #> [12556,] 2.250663e-05 2.102479e-05 1.959482e-05 2.088664e-05 2.098040e-05 #> [12557,] 1.126837e-04 1.236165e-04 2.076012e-04 1.389895e-04 7.765270e-05 #> [12558,] 2.507907e-05 3.108970e-05 3.333106e-05 2.939100e-05 3.112119e-05 #> [12559,] 2.502978e-05 2.506274e-05 2.622929e-05 2.670013e-05 2.782290e-05 #> [12560,] 1.593002e-04 1.021910e-04 8.527866e-05 1.263177e-04 1.388158e-04 #> [12561,] 2.793713e-04 1.752833e-04 9.451060e-05 1.526421e-04 1.152955e-04 #> [12562,] 2.686024e-05 2.759484e-05 2.733993e-05 2.784303e-05 2.754569e-05 #> [12563,] 3.949735e-05 3.759737e-05 4.810523e-05 6.039007e-05 6.201673e-05 #> [12564,] 3.276402e-05 3.966322e-05 4.385366e-05 4.343878e-05 4.177993e-05 #> [12565,] 3.111604e-05 2.881623e-05 3.005540e-05 3.289023e-05 3.832205e-05 #> [12566,] 2.139339e-05 2.014716e-05 2.073984e-05 2.156283e-05 2.110733e-05 #> [12567,] 7.329327e-04 9.192384e-04 1.270982e-03 8.320978e-04 6.691571e-04 #> [12568,] 4.193801e-05 5.702150e-05 7.663028e-05 6.308689e-05 4.635353e-05 #> [12569,] 2.974222e-05 2.907917e-05 2.948263e-05 3.224127e-05 3.187911e-05 #> [12570,] 4.587698e-05 5.935974e-05 6.016259e-05 6.566378e-05 5.947234e-05 #> [12571,] 2.688217e-05 2.959511e-05 3.067126e-05 3.150765e-05 2.980894e-05 #> [12572,] 3.895103e-05 3.191234e-05 2.904985e-05 3.450124e-05 4.302820e-05 #> [12573,] 2.635951e-05 2.885628e-05 3.170234e-05 2.867426e-05 3.094950e-05 #> [12574,] 2.928359e-05 2.960541e-05 2.896639e-05 3.182736e-05 3.205183e-05 #> [12575,] 2.499970e-05 3.151181e-05 3.719230e-05 3.494268e-05 4.015975e-05 #> [12576,] 2.373975e-05 2.555820e-05 2.787233e-05 2.805101e-05 3.026705e-05 #> [12577,] 3.187103e-05 3.667458e-05 4.054041e-05 3.130967e-05 3.324794e-05 #> [12578,] 2.308512e-05 2.792664e-05 2.874319e-05 2.856921e-05 2.854543e-05 #> [12579,] 2.348247e-05 2.552480e-05 2.446736e-05 2.521702e-05 2.717670e-05 #> [12580,] 2.650693e-05 2.643632e-05 2.711660e-05 2.917250e-05 3.003325e-05 #> [12581,] 2.279075e-05 2.292172e-05 2.365755e-05 2.549972e-05 2.485591e-05 #> [12582,] 2.646638e-05 2.365286e-05 2.348582e-05 2.835799e-05 3.073316e-05 #> [12583,] 2.460354e-05 2.528040e-05 2.555564e-05 2.823034e-05 2.971022e-05 #> [12584,] 2.320200e-05 2.248869e-05 2.285541e-05 2.439376e-05 2.429294e-05 #> [12585,] 2.718718e-05 2.915702e-05 2.869688e-05 2.979904e-05 3.156469e-05 #> [12586,] 2.561857e-05 2.592980e-05 2.712377e-05 2.872388e-05 2.839713e-05 #> [12587,] 2.241478e-05 2.184956e-05 2.406534e-05 2.353176e-05 2.253856e-05 #> [12588,] 2.174792e-05 2.100602e-05 2.310168e-05 2.495611e-05 2.486806e-05 #> [12589,] 2.057369e-05 2.146545e-05 2.251852e-05 2.286696e-05 2.252485e-05 #> [12590,] 2.608489e-05 2.881221e-05 3.982232e-05 3.683451e-05 3.848944e-05 #> [12591,] 3.608693e-05 4.438313e-05 3.611587e-05 3.535790e-05 3.309073e-05 #> [12592,] 2.891015e-05 2.930684e-05 2.836500e-05 3.287704e-05 3.363866e-05 #> [12593,] 4.528228e-05 3.200345e-05 3.752599e-05 3.419910e-05 3.331715e-05 #> [12594,] 2.110431e-05 2.080883e-05 2.273971e-05 2.381462e-05 2.233580e-05 #> [12595,] 2.914669e-05 3.089199e-05 4.113500e-05 3.608704e-05 3.870265e-05 #> [12596,] 2.063744e-03 2.033641e-03 1.832070e-03 2.026314e-03 1.761437e-03 #> [12597,] 2.850660e-05 2.456740e-05 2.817255e-05 3.042536e-05 2.934405e-05 #> [12598,] 4.780973e-05 5.897440e-05 1.024263e-04 9.712009e-05 8.138558e-05 #> [12599,] 3.071385e-05 4.246526e-05 5.028487e-05 4.497523e-05 3.878403e-05 #> [12600,] 3.749853e-05 4.412492e-05 5.231054e-05 5.398853e-05 5.279473e-05 #> [12601,] 5.031435e-05 6.169297e-05 7.598420e-05 7.640438e-05 8.971208e-05 #> [12602,] 3.220346e-05 4.183924e-05 7.966808e-05 6.564320e-05 6.091841e-05 #> [12603,] 2.539604e-05 2.816062e-05 2.895266e-05 2.872308e-05 2.938466e-05 #> [12604,] 2.958154e-05 2.915873e-05 3.107770e-05 3.314547e-05 3.416964e-05 #> [12605,] 2.790100e-05 3.240611e-05 4.025402e-05 3.935753e-05 4.239412e-05 #> [12606,] 2.906174e-05 2.985164e-05 3.775323e-05 4.322044e-05 4.853529e-05 #> [12607,] 2.449781e-03 1.980391e-03 2.107834e-03 1.725066e-03 1.520314e-03 #> [12608,] 6.132602e-05 8.167601e-05 6.826647e-05 6.489955e-05 7.189814e-05 #> [12609,] 7.451335e-05 6.321437e-05 3.049945e-05 3.398324e-05 3.004622e-05 #> [12610,] 2.977989e-05 3.102117e-05 3.295058e-05 3.163338e-05 3.042782e-05 #> [12611,] 2.064781e-03 2.167436e-03 1.878037e-03 1.492903e-03 1.623460e-03 #> [12612,] 2.349489e-05 2.467836e-05 2.489841e-05 2.530216e-05 2.521112e-05 #> [12613,] 1.894374e-03 1.518139e-03 1.112421e-03 9.887155e-04 9.733642e-04 #> [12614,] 2.391335e-05 2.112295e-05 2.469316e-05 2.558814e-05 2.577131e-05 #> [12615,] 2.840693e-05 3.062763e-05 3.393413e-05 3.383061e-05 3.273477e-05 #> [12616,] 2.561862e-05 2.690954e-05 2.579434e-05 2.405997e-05 2.498768e-05 #> [12617,] 7.473970e-05 6.255401e-05 4.085952e-05 4.486654e-05 4.232588e-05 #> [12618,] 4.639618e-05 5.490410e-05 4.357848e-05 4.482941e-05 4.451003e-05 #> [12619,] 2.515980e-05 2.414868e-05 2.547985e-05 3.111261e-05 3.239694e-05 #> [12620,] 3.157759e-05 2.938088e-05 3.452074e-05 3.338824e-05 3.487188e-05 #> [12621,] 2.333862e-04 2.146313e-04 9.172524e-05 8.233621e-05 8.721581e-05 #> [12622,] 2.446215e-05 2.603342e-05 2.379370e-05 2.568346e-05 2.674265e-05 #> [12623,] 2.536473e-05 2.564760e-05 2.397444e-05 2.701115e-05 2.594295e-05 #> [12624,] 2.766593e-05 2.810489e-05 2.735476e-05 2.755335e-05 2.753516e-05 #> [12625,] 2.656379e-05 2.817227e-05 3.062167e-05 3.150571e-05 2.998570e-05 #> [12626,] 2.772187e-05 2.811270e-05 3.097155e-05 3.180571e-05 3.291634e-05 #> [12627,] 4.208749e-04 3.489357e-04 1.074749e-03 1.464229e-03 2.177255e-03 #> [12628,] 2.712137e-05 2.875250e-05 3.260849e-05 3.204376e-05 3.063022e-05 #> [12629,] 3.044363e-05 3.388909e-05 3.521342e-05 3.085756e-05 3.346133e-05 #> [12630,] 1.303747e-04 1.391971e-04 1.291908e-04 1.124867e-04 1.414226e-04 #> [12631,] 3.640839e-05 4.522570e-05 8.495972e-05 7.769112e-05 4.964917e-05 #> [12632,] 5.089921e-05 8.090762e-05 9.077328e-05 8.615039e-05 7.133249e-05 #> [12633,] 3.813828e-05 5.108330e-05 5.239734e-05 5.521258e-05 5.503514e-05 #> [12634,] 4.404440e-05 4.988630e-05 4.847757e-05 4.843757e-05 4.757957e-05 #> [12635,] 2.397240e-05 3.856467e-05 2.953998e-05 3.008244e-05 3.060060e-05 #> [12636,] 3.327744e-05 4.549560e-05 3.908381e-05 3.689799e-05 4.410583e-05 #> [12637,] 9.451494e-05 7.669506e-05 5.357115e-05 5.968309e-05 4.447386e-05 #> [12638,] 2.394534e-05 2.456053e-05 2.433881e-05 2.531647e-05 2.693196e-05 #> [12639,] 2.876311e-05 3.283616e-05 3.732186e-05 3.929321e-05 3.296868e-05 #> [12640,] 1.937202e-05 1.941953e-05 2.125703e-05 2.133601e-05 2.054557e-05 #> [12641,] 4.962652e-05 5.208099e-05 5.662481e-05 6.225559e-05 6.584422e-05 #> [12642,] 9.414320e-04 1.069459e-03 6.868411e-04 6.214402e-04 5.937026e-04 #> [12643,] 3.256047e-05 3.902884e-05 3.019876e-05 2.971836e-05 3.750053e-05 #> [12644,] 2.495791e-05 2.492260e-05 2.401829e-05 2.560116e-05 2.513819e-05 #> [12645,] 2.876613e-05 2.692902e-05 2.786989e-05 2.825674e-05 2.705934e-05 #> [12646,] 2.690941e-05 2.832244e-05 3.070812e-05 3.161484e-05 3.186716e-05 #> [12647,] 2.271252e-05 2.152704e-05 2.418513e-05 2.862241e-05 3.020151e-05 #> [12648,] 2.381843e-05 2.294496e-05 2.809876e-05 2.980138e-05 2.948139e-05 #> [12649,] 2.909113e-05 3.042373e-05 4.753219e-05 3.721320e-05 3.825864e-05 #> [12650,] 4.421064e-05 4.392659e-05 3.391075e-05 3.780439e-05 3.957969e-05 #> [12651,] 2.674555e-05 2.585857e-05 2.666957e-05 2.763095e-05 2.880874e-05 #> [12652,] 3.778202e-05 3.473733e-05 4.078987e-05 3.682749e-05 4.234551e-05 #> [12653,] 2.296668e-05 2.524122e-05 2.216637e-05 2.381986e-05 2.419729e-05 #> [12654,] 8.030629e-05 6.481034e-05 4.948208e-05 4.794282e-05 3.943215e-05 #> [12655,] 2.427819e-05 2.592122e-05 2.702130e-05 2.347774e-05 2.658093e-05 #> [12656,] 2.403461e-05 2.627529e-05 2.895467e-05 3.769257e-05 3.411992e-05 #> [12657,] 2.382640e-05 2.718138e-05 2.959755e-05 2.972684e-05 2.969391e-05 #> [12658,] 1.306141e-04 1.383421e-04 5.397031e-05 5.082553e-05 4.636458e-05 #> [12659,] 7.832455e-05 9.097546e-05 7.108120e-05 1.057726e-04 9.689082e-05 #> [12660,] 2.489012e-05 2.631642e-05 3.009164e-05 3.247134e-05 3.092058e-05 #> [12661,] 2.136742e-05 2.443067e-05 2.196980e-05 2.134749e-05 5.572377e-05 #> [12662,] 2.535283e-05 2.409721e-05 2.787061e-05 2.865061e-05 2.882030e-05 #> [12663,] 2.775102e-05 2.672156e-05 2.747215e-05 2.952809e-05 3.232868e-05 #> [12664,] 3.795163e-05 4.464072e-05 3.857386e-05 3.860281e-05 3.823944e-05 #> [12665,] 6.152751e-05 9.401238e-05 1.256587e-04 1.434922e-04 1.684390e-04 #> [12666,] 9.412888e-05 8.842429e-05 1.431088e-04 9.949894e-05 7.705826e-05 #> [12667,] 2.785250e-05 2.826106e-05 2.551477e-05 2.828514e-05 2.819039e-05 #> [12668,] 2.247121e-05 2.145810e-05 2.192499e-05 2.260243e-05 2.215461e-05 #> [12669,] 2.389784e-05 2.547519e-05 2.629095e-05 2.893306e-05 3.161905e-05 #> [12670,] 1.135895e-03 1.206187e-03 1.414903e-03 1.227499e-03 1.099503e-03 #> [12671,] 2.926168e-05 3.628990e-05 3.195492e-05 3.190846e-05 3.275738e-05 #> [12672,] 5.336137e-05 7.546407e-05 6.712694e-05 6.613360e-05 7.076042e-05 #> [12673,] 2.662180e-05 2.646169e-05 2.721494e-05 2.816033e-05 2.969387e-05 #> [12674,] 2.823438e-05 2.651325e-05 2.877626e-05 2.882587e-05 2.848477e-05 #> [12675,] 2.558460e-05 2.197435e-05 2.336866e-05 2.280679e-05 2.190659e-05 #> [12676,] 3.821277e-05 3.725051e-05 4.630913e-05 6.083817e-05 4.963126e-05 #> [12677,] 2.154914e-05 2.058666e-05 2.263092e-05 2.261986e-05 2.305056e-05 #> [12678,] 8.737447e-04 5.768835e-04 2.105257e-04 1.848434e-04 1.077833e-04 #> [12679,] 2.322618e-05 2.336527e-05 2.683136e-05 2.380797e-05 2.684362e-05 #> [12680,] 2.416804e-05 2.504914e-05 2.683821e-05 2.917588e-05 2.975435e-05 #> [12681,] 3.260932e-05 3.571492e-05 6.340071e-05 9.191247e-05 8.506544e-05 #> [12682,] 2.179663e-05 2.212148e-05 2.230038e-05 2.305131e-05 2.288154e-05 #> [12683,] 2.706342e-05 2.632675e-05 2.768337e-05 2.859274e-05 2.945353e-05 #> [12684,] 2.192441e-05 2.237560e-05 2.461221e-05 2.367129e-05 2.408136e-05 #> [12685,] 2.644488e-05 2.629883e-05 2.906224e-05 2.942199e-05 2.941222e-05 #> [12686,] 2.349235e-05 2.226568e-05 2.447660e-05 2.536855e-05 2.522528e-05 #> [12687,] 2.836276e-05 2.856118e-05 2.888388e-05 3.067660e-05 3.094893e-05 #> [12688,] 2.308126e-05 2.220235e-05 2.245892e-05 2.529102e-05 2.586965e-05 #> [12689,] 2.491715e-05 2.595279e-05 3.239428e-05 3.499713e-05 3.620836e-05 #> [12690,] 2.357930e-05 2.271137e-05 2.749269e-05 2.682881e-05 2.561750e-05 #> [12691,] 4.673077e-05 4.654606e-05 3.813709e-05 4.096141e-05 3.744520e-05 #> [12692,] 2.518492e-05 2.344283e-05 2.469614e-05 2.820186e-05 2.977733e-05 #> [12693,] 9.619892e-05 1.156699e-04 6.496635e-05 5.955500e-05 6.293046e-05 #> [12694,] 5.005099e-05 5.434839e-05 6.159690e-05 4.983509e-05 4.587656e-05 #> [12695,] 2.837883e-05 3.175597e-05 3.078981e-05 2.986141e-05 2.705311e-05 #> [12696,] 2.811015e-05 2.599053e-05 2.681827e-05 3.079915e-05 3.332233e-05 #> [12697,] 2.665055e-05 2.498078e-05 2.766757e-05 2.860106e-05 2.786608e-05 #> [12698,] 2.116217e-03 1.641980e-03 2.902448e-04 3.300326e-04 3.717125e-04 #> [12699,] 5.887684e-04 6.950232e-04 6.682024e-04 6.301823e-04 5.452041e-04 #> [12700,] 5.673713e-04 8.044189e-04 1.120939e-03 1.219378e-03 1.085649e-03 #> [12701,] 4.898619e-05 6.287728e-05 6.430642e-05 5.807438e-05 4.008412e-05 #> [12702,] 6.997844e-05 6.923506e-05 1.216335e-04 8.860967e-05 4.643822e-05 #> [12703,] 2.568159e-05 2.570671e-05 2.555605e-05 2.812560e-05 2.863567e-05 #> [12704,] 2.440412e-05 2.292186e-05 2.479793e-05 2.915667e-05 2.976051e-05 #> [12705,] 2.432273e-05 2.757494e-05 2.998841e-05 2.916151e-05 3.055901e-05 #> [12706,] 3.750768e-05 3.819428e-05 3.496251e-05 3.922340e-05 3.386880e-05 #> [12707,] 2.709026e-05 2.768526e-05 4.768188e-05 5.343974e-05 3.792343e-05 #> [12708,] 9.790899e-05 9.003744e-05 4.064573e-05 5.684383e-05 7.721522e-05 #> [12709,] 2.401384e-05 2.400137e-05 2.617394e-05 2.760346e-05 2.802901e-05 #> [12710,] 2.960181e-05 2.568985e-05 3.015788e-05 3.467480e-05 3.594174e-05 #> [12711,] 2.906683e-05 3.151310e-05 3.529773e-05 3.390351e-05 3.498611e-05 #> [12712,] 2.310200e-05 2.380548e-05 2.326957e-05 2.476194e-05 2.470690e-05 #> [12713,] 2.295922e-05 2.377361e-05 2.349132e-05 2.311318e-05 2.345711e-05 #> [12714,] 2.290015e-05 2.342029e-05 2.628449e-05 2.838368e-05 2.839012e-05 #> [12715,] 5.307663e-05 7.213880e-05 4.007156e-05 5.841427e-05 9.224553e-05 #> [12716,] 2.733384e-05 2.636157e-05 2.807163e-05 3.151530e-05 3.102388e-05 #> [12717,] 3.362922e-04 1.950784e-04 2.525306e-04 2.745198e-04 1.692712e-04 #> [12718,] 2.673926e-05 2.906072e-05 4.235294e-05 4.071809e-05 3.772751e-05 #> [12719,] 2.203434e-05 2.374853e-05 2.444930e-05 2.508762e-05 2.500426e-05 #> [12720,] 2.307900e-05 2.271789e-05 2.386976e-05 2.722187e-05 3.119254e-05 #> [12721,] 2.264581e-05 2.296645e-05 2.366098e-05 2.403813e-05 2.222199e-05 #> [12722,] 2.296782e-05 2.207820e-05 2.390139e-05 2.305709e-05 2.612991e-05 #> [12723,] 2.370530e-05 2.274286e-05 2.737598e-05 3.119432e-05 3.635831e-05 #> [12724,] 2.437856e-05 2.624355e-05 2.692818e-05 2.688624e-05 2.894301e-05 #> [12725,] 3.277101e-05 4.053715e-05 4.555563e-05 4.491562e-05 4.024277e-05 #> [12726,] 2.794335e-05 3.437067e-05 4.207689e-05 3.789488e-05 3.326005e-05 #> [12727,] 2.734807e-05 3.130643e-05 3.118453e-05 3.533317e-05 3.815422e-05 #> [12728,] 3.753367e-05 4.090367e-05 3.179363e-05 3.679872e-05 4.449314e-05 #> [12729,] 6.045674e-05 7.405322e-05 7.987284e-05 7.281652e-05 5.205933e-05 #> [12730,] 1.242047e-04 1.046339e-04 7.258616e-05 7.721106e-05 6.961531e-05 #> [12731,] 2.529434e-05 2.643267e-05 2.918132e-05 2.750208e-05 2.886047e-05 #> [12732,] 2.091448e-05 2.359005e-05 2.314437e-05 2.403433e-05 2.275177e-05 #> [12733,] 2.233688e-05 2.080076e-05 2.247845e-05 2.319572e-05 2.397574e-05 #> [12734,] 2.862968e-05 2.958286e-05 3.277531e-05 2.806919e-05 2.998257e-05 #> [12735,] 2.660805e-05 2.933947e-05 3.968554e-05 3.547455e-05 2.871968e-05 #> [12736,] 2.338742e-05 2.361326e-05 2.364792e-05 2.449343e-05 2.497042e-05 #> [12737,] 2.581229e-05 2.511679e-05 2.876119e-05 3.148906e-05 4.949228e-05 #> [12738,] 2.655444e-05 2.638759e-05 3.066000e-05 3.506292e-05 4.224835e-05 #> [12739,] 4.027403e-05 3.660308e-05 4.127991e-05 3.816872e-05 3.960770e-05 #> [12740,] 2.596216e-04 1.873451e-04 5.281687e-04 5.543653e-04 4.394912e-04 #> [12741,] 3.059238e-05 3.249996e-05 4.906315e-05 4.029395e-05 3.713730e-05 #> [12742,] 2.497771e-05 2.933909e-05 3.606014e-05 3.380918e-05 3.654444e-05 #> [12743,] 3.709752e-05 3.380704e-05 3.882332e-05 4.409469e-05 4.921838e-05 #> [12744,] 2.166029e-05 2.397780e-05 2.851247e-05 2.421160e-05 3.579216e-05 #> [12745,] 2.418061e-05 2.491982e-05 2.352877e-05 2.446860e-05 2.531282e-05 #> [12746,] 5.407555e-05 5.023138e-05 6.539897e-05 7.309501e-05 6.212933e-05 #> [12747,] 2.687532e-05 2.763589e-05 2.633523e-05 2.905314e-05 2.861500e-05 #> [12748,] 1.694805e-04 7.956728e-05 5.672281e-05 7.944431e-05 5.572135e-05 #> [12749,] 4.027372e-05 3.662948e-05 4.291898e-05 4.108585e-05 3.663190e-05 #> [12750,] 2.978536e-05 2.847913e-05 4.033746e-05 3.612859e-05 3.552450e-05 #> [12751,] 3.871882e-05 8.747794e-05 5.995232e-05 3.829187e-05 6.444220e-05 #> [12752,] 2.346122e-05 2.484251e-05 2.633909e-05 3.018229e-05 3.055683e-05 #> [12753,] 7.387421e-05 5.370130e-05 8.501347e-05 9.818395e-05 5.027344e-05 #> [12754,] 2.457796e-05 2.347974e-05 2.495004e-05 2.530588e-05 2.370655e-05 #> [12755,] 2.503563e-05 3.071692e-05 3.088380e-05 2.826675e-05 3.136826e-05 #> [12756,] 2.507143e-05 2.476581e-05 2.410884e-05 2.494102e-05 2.445710e-05 #> [12757,] 4.495490e-04 6.943636e-04 1.133868e-03 1.033731e-03 7.616371e-04 #> [12758,] 2.629272e-05 2.483500e-05 2.448791e-05 2.580864e-05 2.520142e-05 #> [12759,] 2.408250e-05 2.717891e-05 2.938146e-05 3.722427e-05 3.124284e-05 #> [12760,] 1.807985e-04 1.238742e-04 6.554082e-05 4.450670e-05 3.728709e-05 #> [12761,] 7.828625e-05 1.112882e-04 1.879700e-04 1.726166e-04 1.552306e-04 #> [12762,] 6.272337e-05 7.584836e-05 7.369446e-05 6.430941e-05 6.525952e-05 #> [12763,] 1.604602e-04 1.517182e-04 1.099572e-04 1.509000e-04 1.249879e-04 #> [12764,] 1.366201e-04 1.416027e-04 1.098116e-04 1.224022e-04 1.425468e-04 #> [12765,] 6.621022e-04 1.877107e-04 9.887408e-05 1.294586e-04 1.539033e-04 #> [12766,] 3.217898e-05 2.889281e-05 3.356894e-05 2.955653e-05 3.694924e-05 #> [12767,] 2.530641e-05 2.614766e-05 3.326706e-05 2.880233e-05 2.853427e-05 #> [12768,] 1.241125e-04 1.295686e-04 1.423163e-04 1.706664e-04 1.512069e-04 #> [12769,] 1.644378e-04 2.635339e-05 2.649030e-05 2.610538e-05 2.653698e-05 #> [12770,] 2.614588e-05 3.073789e-05 2.317092e-05 2.354231e-05 2.408793e-05 #> [12771,] 2.358651e-05 2.238573e-05 2.312698e-05 2.543951e-05 2.503785e-05 #> [12772,] 4.080764e-05 4.641518e-05 4.707367e-05 3.922076e-05 3.473798e-05 #> [12773,] 2.845750e-05 2.973692e-05 2.999041e-05 3.240959e-05 3.607457e-05 #> [12774,] 1.045634e-04 1.581178e-04 2.870634e-04 8.672901e-04 8.068739e-04 #> [12775,] 2.988147e-05 2.652178e-05 2.881586e-05 2.996965e-05 3.336012e-05 #> [12776,] 2.414011e-05 2.509931e-05 2.459083e-05 2.520034e-05 2.648418e-05 #> [12777,] 3.849207e-05 3.498752e-05 5.265398e-05 5.967406e-05 4.659660e-05 #> [12778,] 2.515783e-05 2.618549e-05 2.419711e-05 2.685127e-05 2.689900e-05 #> [12779,] 2.270488e-05 2.113999e-05 2.145551e-05 2.229259e-05 2.315067e-05 #> [12780,] 2.959087e-05 3.312063e-05 3.510985e-05 3.516090e-05 3.112817e-05 #> [12781,] 7.489218e-05 6.634909e-05 8.377486e-05 8.277168e-05 5.324647e-05 #> [12782,] 3.099076e-05 3.226219e-05 4.304904e-05 4.052914e-05 3.840489e-05 #> [12783,] 3.697599e-05 4.116809e-05 3.288938e-05 3.204420e-05 3.175362e-05 #> [12784,] 2.728466e-05 2.946015e-05 3.161375e-05 3.179565e-05 3.328063e-05 #> [12785,] 2.001048e-03 2.076324e-03 1.875774e-03 1.729857e-03 1.524081e-03 #> [12786,] 1.484974e-03 1.785066e-03 1.712667e-03 1.779540e-03 1.693473e-03 #> [12787,] 2.485504e-05 2.485723e-05 2.834990e-05 2.942081e-05 3.099569e-05 #> [12788,] 4.137462e-05 4.297935e-05 4.786881e-05 3.852541e-05 4.480222e-05 #> [12789,] 2.382121e-05 2.778208e-05 3.090270e-05 2.948515e-05 2.857098e-05 #> [12790,] 7.831000e-04 1.329076e-03 9.707829e-04 7.261482e-04 8.428361e-04 #> [12791,] 5.375126e-05 5.759717e-05 4.962980e-05 5.665050e-05 6.202240e-05 #> [12792,] 5.290516e-05 3.941698e-05 4.281030e-05 3.970365e-05 3.514321e-05 #> [12793,] 3.219365e-05 3.217317e-05 3.001010e-05 3.322430e-05 3.151639e-05 #> [12794,] 4.421624e-05 4.257580e-05 5.228613e-05 5.268981e-05 4.896231e-05 #> [12795,] 9.883885e-05 2.105170e-04 9.045324e-05 6.747620e-05 1.884627e-04 #> [12796,] 2.388418e-05 2.199412e-05 2.666939e-05 3.047446e-05 3.035053e-05 #> [12797,] 2.893038e-05 2.787505e-05 3.987862e-05 3.606895e-05 3.461233e-05 #> [12798,] 1.154138e-03 6.828772e-04 6.359192e-04 5.043009e-04 5.208883e-04 #> [12799,] 2.814960e-05 2.958137e-05 2.993263e-05 3.080359e-05 2.986583e-05 #> [12800,] 1.490966e-04 2.358042e-04 2.151124e-04 1.451034e-04 8.320465e-05 #> [12801,] 3.141743e-05 3.150470e-05 3.902197e-05 4.326099e-05 4.246452e-05 #> [12802,] 2.453172e-05 3.003175e-05 3.188105e-05 3.370511e-05 5.497011e-05 #> [12803,] 5.706912e-05 6.297162e-05 4.555122e-05 3.816964e-05 3.517447e-05 #> [12804,] 4.554081e-05 4.844738e-05 6.071585e-05 7.201014e-05 6.736684e-05 #> [12805,] 3.454711e-05 3.021738e-05 3.189966e-05 2.813764e-05 3.087447e-05 #> [12806,] 2.660298e-05 3.917588e-05 3.822906e-05 5.295873e-05 1.703551e-04 #> [12807,] 2.668958e-05 2.400761e-05 2.706838e-05 2.637892e-05 2.846928e-05 #> [12808,] 3.405914e-05 3.668950e-05 9.133209e-05 1.107754e-04 1.150860e-04 #> [12809,] 2.573429e-05 2.722001e-05 3.544201e-05 3.408189e-05 3.517864e-05 #> [12810,] 3.554216e-05 3.406920e-05 5.320145e-05 5.267810e-05 3.788953e-05 #> [12811,] 3.791257e-05 3.839397e-05 3.987014e-05 3.597828e-05 4.230982e-05 #> [12812,] 2.158864e-05 2.292054e-05 2.355037e-05 2.347455e-05 2.344202e-05 #> [12813,] 4.960373e-05 4.112934e-05 6.902355e-05 6.782929e-05 7.069681e-05 #> [12814,] 4.182864e-05 3.778185e-05 5.089031e-05 5.413852e-05 4.906545e-05 #> [12815,] 2.762196e-05 2.580586e-05 2.732395e-05 2.849615e-05 2.818689e-05 #> [12816,] 2.844201e-04 2.447549e-04 2.053632e-04 1.815898e-04 1.538544e-04 #> [12817,] 3.027281e-05 3.196385e-05 2.735196e-05 2.585955e-05 2.878154e-05 #> [12818,] 4.067769e-05 3.426501e-05 4.962732e-05 4.118323e-05 4.446086e-05 #> [12819,] 3.736046e-05 4.162375e-05 3.947989e-05 3.500426e-05 3.708079e-05 #> [12820,] 2.772550e-04 3.765660e-04 6.577521e-04 8.666153e-04 1.572129e-03 #> [12821,] 2.700454e-05 2.648159e-05 2.514245e-05 2.978148e-05 3.038962e-05 #> [12822,] 8.423839e-05 8.050369e-05 8.852274e-05 9.348178e-05 8.899369e-05 #> [12823,] 4.809750e-05 4.658353e-05 6.302405e-05 6.971948e-05 6.764223e-05 #> [12824,] 3.392417e-05 3.336790e-05 3.951339e-05 3.542936e-05 3.948459e-05 #> [12825,] 4.913346e-05 3.889875e-05 3.936439e-05 4.076599e-05 4.171809e-05 #> [12826,] 3.153523e-05 3.516974e-05 4.058890e-05 3.626397e-05 3.600549e-05 #> [12827,] 4.534390e-05 4.023927e-05 5.431767e-05 5.597789e-05 5.735857e-05 #> [12828,] 2.999192e-05 2.888598e-05 2.882203e-05 3.123301e-05 3.148081e-05 #> [12829,] 2.967012e-05 2.769501e-05 3.545149e-05 3.361325e-05 3.319473e-05 #> [12830,] 1.186428e-04 1.003178e-04 1.630565e-04 1.787094e-04 9.381167e-05 #> [12831,] 1.972829e-04 1.895036e-04 2.152038e-04 1.638631e-04 8.486535e-05 #> [12832,] 3.177599e-05 2.969606e-05 4.405398e-05 5.392082e-05 4.839155e-05 #> [12833,] 2.807896e-05 2.703233e-05 2.946572e-05 3.246917e-05 3.073361e-05 #> [12834,] 4.627148e-05 5.120848e-05 8.364824e-05 1.106723e-04 1.250536e-04 #> [12835,] 6.469860e-05 6.418082e-05 9.967927e-05 1.258228e-04 1.412789e-04 #> [12836,] 9.586624e-04 4.063686e-04 3.956677e-04 4.529038e-04 3.313230e-04 #> [12837,] 2.149129e-05 2.097952e-05 2.467434e-05 2.274782e-05 2.168937e-05 #> [12838,] 3.397304e-05 3.418693e-05 3.143283e-05 2.934556e-05 3.521379e-05 #> [12839,] 3.266516e-05 3.713128e-05 3.228702e-05 3.214011e-05 3.290346e-05 #> [12840,] 2.399393e-05 2.455014e-05 3.109280e-05 3.301622e-05 3.586653e-05 #> [12841,] 6.904932e-05 5.568242e-05 5.197461e-05 5.685795e-05 4.947140e-05 #> [12842,] 2.715921e-05 3.115703e-05 3.081954e-05 2.825143e-05 2.694089e-05 #> [12843,] 2.392817e-05 2.827451e-05 3.108390e-05 3.085646e-05 2.945919e-05 #> [12844,] 2.554866e-05 2.787984e-05 3.064672e-05 3.187924e-05 3.622468e-05 #> [12845,] 2.014372e-04 1.452892e-04 1.056086e-04 1.130023e-04 1.224889e-04 #> [12846,] 8.167661e-05 9.720574e-05 5.614974e-05 6.996933e-05 7.677161e-05 #> [12847,] 3.918631e-05 3.658490e-05 4.012624e-05 4.025992e-05 4.557700e-05 #> [12848,] 4.104895e-05 4.344405e-05 3.379877e-05 3.513704e-05 3.692978e-05 #> [12849,] 2.960159e-05 3.249940e-05 3.944215e-05 4.194496e-05 3.851071e-05 #> [12850,] 1.102793e-04 1.109788e-04 3.979374e-04 4.734999e-04 3.087825e-04 #> [12851,] 2.899347e-05 2.786330e-05 2.947321e-05 3.119425e-05 3.256861e-05 #> [12852,] 3.849726e-05 4.524563e-05 4.186920e-05 3.826859e-05 3.894367e-05 #> [12853,] 2.930245e-05 2.782100e-05 2.471877e-05 2.583432e-05 2.615339e-05 #> [12854,] 2.488006e-05 2.694571e-05 2.925675e-05 2.996645e-05 3.232353e-05 #> [12855,] 2.928085e-05 3.023097e-05 3.567855e-05 3.245987e-05 3.334828e-05 #> [12856,] 2.554306e-05 2.707823e-05 3.240566e-05 3.179244e-05 3.258608e-05 #> [12857,] 5.953116e-05 7.234947e-05 7.361475e-05 6.589776e-05 6.540796e-05 #> [12858,] 3.225454e-05 3.182610e-05 3.264451e-05 3.874666e-05 3.412297e-05 #> [12859,] 2.688028e-05 2.580371e-05 2.526549e-05 3.001835e-05 3.004392e-05 #> [12860,] 3.037330e-04 4.887342e-04 2.008761e-04 1.753957e-04 2.024828e-04 #> [12861,] 6.969330e-04 7.461676e-04 5.960586e-04 4.626620e-04 3.283536e-04 #> [12862,] 3.814632e-05 4.975078e-05 3.197734e-05 2.842901e-05 2.873886e-05 #> [12863,] 2.747171e-05 2.593676e-05 2.477132e-05 2.876549e-05 3.027797e-05 #> [12864,] 3.013731e-05 2.894390e-05 2.982993e-05 3.199192e-05 3.235792e-05 #> [12865,] 5.798508e-05 9.819256e-05 5.209840e-05 5.247449e-05 8.119907e-05 #> [12866,] 2.529761e-05 2.833471e-05 2.608714e-05 2.824904e-05 4.087485e-05 #> [12867,] 2.257843e-05 2.200499e-05 2.568498e-05 2.790775e-05 2.898979e-05 #> [12868,] 2.232920e-03 1.771516e-03 2.000465e-03 2.015741e-03 1.756778e-03 #> [12869,] 1.377699e-04 1.501365e-04 2.447753e-04 3.750679e-04 3.453056e-04 #> [12870,] 3.075729e-05 3.481321e-05 3.184707e-05 3.466821e-05 3.478783e-05 #> [12871,] 6.183143e-04 4.870029e-04 3.696813e-04 3.446028e-04 5.666005e-04 #> [12872,] 9.429694e-05 8.231059e-05 1.675288e-04 1.722248e-04 1.224722e-04 #> [12873,] 2.234076e-05 2.309577e-05 2.407687e-05 2.613506e-05 2.800698e-05 #> [12874,] 2.604215e-05 2.658120e-05 2.840729e-05 2.842692e-05 2.966387e-05 #> [12875,] 3.285748e-05 3.544027e-05 4.233401e-05 3.962475e-05 3.605836e-05 #> [12876,] 2.331268e-05 2.258658e-05 2.628266e-05 2.219458e-05 2.076606e-05 #> [12877,] 2.441733e-05 2.709577e-05 2.903898e-05 3.085221e-05 3.089472e-05 #> [12878,] 8.038275e-05 8.386569e-05 6.845173e-05 7.402272e-05 6.805356e-05 #> [12879,] 2.776687e-05 2.787703e-05 2.831661e-05 3.260646e-05 3.345666e-05 #> [12880,] 3.065260e-05 2.954174e-05 3.567536e-05 4.093815e-05 4.257727e-05 #> [12881,] 3.156698e-05 3.092514e-05 3.747313e-05 3.685520e-05 3.702581e-05 #> [12882,] 3.733050e-05 3.360862e-05 3.190245e-05 2.989783e-05 2.925563e-05 #> [12883,] 3.012978e-05 2.917831e-05 3.480331e-05 3.668971e-05 3.752501e-05 #> [12884,] 6.284404e-04 4.584734e-04 3.196224e-04 3.019312e-04 3.088472e-04 #> [12885,] 2.545716e-05 2.746605e-05 3.092228e-05 2.728947e-05 2.945143e-05 #> [12886,] 2.264863e-05 2.481972e-05 2.665110e-05 2.577755e-05 2.421743e-05 #> [12887,] 2.609180e-05 2.524349e-05 3.105611e-05 3.157278e-05 2.932163e-05 #> [12888,] 3.564004e-05 3.701682e-05 8.285606e-05 7.300576e-05 5.419306e-05 #> [12889,] 2.982257e-05 3.191057e-05 3.586133e-05 3.388310e-05 3.107920e-05 #> [12890,] 3.406148e-05 3.332753e-05 4.612977e-05 5.280261e-05 5.068675e-05 #> [12891,] 2.645421e-05 2.480791e-05 2.430020e-05 2.612852e-05 2.670682e-05 #> [12892,] 6.072168e-05 7.493126e-05 6.997571e-05 6.652444e-05 7.004407e-05 #> [12893,] 2.608231e-05 2.796891e-05 2.928441e-05 3.026081e-05 3.138124e-05 #> [12894,] 2.406380e-05 2.677101e-05 3.780825e-05 3.374325e-05 2.534027e-05 #> [12895,] 3.070596e-05 3.152657e-05 3.462100e-05 3.310850e-05 3.267490e-05 #> [12896,] 2.841406e-05 3.483829e-05 2.059957e-04 4.539766e-05 3.290789e-05 #> [12897,] 1.370318e-03 1.626247e-03 1.709105e-03 1.186045e-03 1.462069e-03 #> [12898,] 2.956283e-05 3.203361e-05 3.450068e-05 4.129315e-05 4.441223e-05 #> [12899,] 3.729748e-05 3.999559e-05 4.848278e-05 5.416980e-05 4.544657e-05 #> [12900,] 2.433415e-05 2.859840e-05 2.916473e-05 2.780333e-05 2.935389e-05 #> [12901,] 3.209561e-05 3.526713e-05 3.495771e-05 3.254422e-05 3.109428e-05 #> [12902,] 2.531391e-05 2.526338e-05 2.848817e-05 2.710217e-05 2.971227e-05 #> [12903,] 5.288303e-05 5.447656e-05 5.143099e-05 4.446175e-05 3.916471e-05 #> [12904,] 3.042156e-05 2.593550e-05 3.158798e-05 3.617525e-05 3.403119e-05 #> [12905,] 3.695029e-05 3.678707e-05 3.815979e-05 4.328336e-05 3.989547e-05 #> [12906,] 2.272724e-05 2.376359e-05 2.686532e-05 2.703407e-05 2.937892e-05 #> [12907,] 3.166069e-05 3.138800e-05 3.139210e-05 3.192196e-05 3.034452e-05 #> [12908,] 3.114527e-05 3.744602e-05 3.756558e-05 3.710359e-05 3.456406e-05 #> [12909,] 2.384266e-05 2.232966e-05 2.623748e-05 2.746483e-05 2.725692e-05 #> [12910,] 2.395870e-05 2.269683e-05 2.523745e-05 2.839109e-05 3.421134e-05 #> [12911,] 8.951343e-04 6.361263e-04 8.860012e-04 1.003890e-03 6.949896e-04 #> [12912,] 2.944202e-04 2.671910e-04 5.460033e-04 5.567893e-04 3.407259e-04 #> [12913,] 3.046892e-05 2.930239e-05 3.295979e-05 3.792547e-05 3.417868e-05 #> [12914,] 2.876010e-05 3.232621e-05 4.059309e-05 3.715093e-05 3.252585e-05 #> [12915,] 2.455821e-05 2.315894e-05 2.752636e-05 2.855446e-05 3.122183e-05 #> [12916,] 2.430662e-05 2.465467e-05 2.766600e-05 2.642311e-05 2.930851e-05 #> [12917,] 2.646360e-05 2.857080e-05 3.533554e-05 2.932913e-05 3.084946e-05 #> [12918,] 2.102911e-05 2.027128e-05 2.240694e-05 2.128177e-05 2.113552e-05 #> [12919,] 2.645491e-05 2.772909e-05 3.124014e-05 3.096319e-05 2.998590e-05 #> [12920,] 2.803739e-05 3.444621e-05 3.638307e-05 3.632963e-05 3.553567e-05 #> [12921,] 3.080551e-04 2.995034e-04 2.169864e-04 1.875963e-04 2.096252e-04 #> [12922,] 2.842231e-05 2.613574e-05 2.806672e-05 2.977035e-05 2.831116e-05 #> [12923,] 2.481872e-05 2.805015e-05 2.943934e-05 3.198007e-05 3.017654e-05 #> [12924,] 2.736065e-05 3.150325e-05 3.395538e-05 3.498216e-05 3.388488e-05 #> [12925,] 2.222612e-05 2.119192e-05 2.187819e-05 2.419350e-05 2.302005e-05 #> [12926,] 2.511199e-05 2.748672e-05 2.751839e-05 2.913877e-05 3.054211e-05 #> [12927,] 2.435200e-05 2.633726e-05 2.653241e-05 2.797390e-05 2.999787e-05 #> [12928,] 2.473685e-05 2.590584e-05 2.901893e-05 2.712052e-05 2.966023e-05 #> [12929,] 2.231994e-05 2.535887e-05 2.230951e-05 2.185106e-05 2.171797e-05 #> [12930,] 2.638574e-05 2.806353e-05 3.083287e-05 2.761832e-05 2.954439e-05 #> [12931,] 2.284811e-05 2.353391e-05 2.320657e-05 2.299771e-05 2.406286e-05 #> [12932,] 2.973504e-05 3.531590e-05 3.197337e-05 2.844657e-05 2.652032e-05 #> [12933,] 2.547990e-05 2.545148e-05 2.894762e-05 2.890591e-05 2.886538e-05 #> [12934,] 2.962482e-05 3.396409e-05 3.403795e-05 3.431164e-05 3.273445e-05 #> [12935,] 3.204970e-05 4.597389e-05 3.876406e-05 2.720484e-05 2.448256e-05 #> [12936,] 7.910649e-05 5.547033e-05 5.061015e-05 4.937595e-05 5.225810e-05 #> [12937,] 2.830598e-05 2.747683e-05 2.975211e-05 3.235967e-05 2.992484e-05 #> [12938,] 2.286488e-05 2.177980e-05 2.519127e-05 2.823618e-05 2.860112e-05 #> [12939,] 2.790516e-05 2.848019e-05 3.720696e-05 3.385306e-05 3.161849e-05 #> [12940,] 8.937839e-05 1.214507e-04 1.518634e-04 1.759808e-04 1.133588e-04 #> [12941,] 2.930875e-04 5.944733e-04 8.465588e-04 5.956082e-04 7.320308e-04 #> [12942,] 2.825167e-05 2.730665e-05 2.815434e-05 2.986755e-05 2.937865e-05 #> [12943,] 2.644155e-05 2.568262e-05 2.824150e-05 2.862123e-05 2.774382e-05 #> [12944,] 3.723994e-04 2.386522e-04 9.235507e-05 6.137078e-05 3.404429e-05 #> [12945,] 3.289480e-05 3.409608e-05 3.105436e-05 2.786871e-05 2.740396e-05 #> [12946,] 2.966495e-05 3.152068e-05 3.074623e-05 3.137995e-05 3.091713e-05 #> [12947,] 2.233695e-05 2.236589e-05 2.100203e-05 2.223339e-05 2.403530e-05 #> [12948,] 2.750294e-05 2.592370e-05 2.908556e-05 2.829025e-05 2.972566e-05 #> [12949,] 4.146018e-05 5.148884e-05 4.714351e-05 4.724705e-05 4.500132e-05 #> [12950,] 2.006802e-05 1.996124e-05 1.958992e-05 1.960933e-05 2.185436e-05 #> [12951,] 2.532350e-05 2.917154e-05 2.961856e-05 3.181655e-05 3.394039e-05 #> [12952,] 2.993969e-05 3.264477e-05 4.246755e-05 3.829399e-05 4.309771e-05 #> [12953,] 2.447612e-05 2.986080e-05 3.279445e-05 3.091556e-05 3.437456e-05 #> [12954,] 3.855356e-05 4.427037e-05 3.630380e-05 4.145756e-05 4.524050e-05 #> [12955,] 2.896707e-05 3.104735e-05 3.222679e-05 3.567292e-05 3.728914e-05 #> [12956,] 2.679766e-05 3.190297e-05 3.094786e-05 2.789482e-05 3.093428e-05 #> [12957,] 2.198362e-05 2.287401e-05 2.411195e-05 2.357996e-05 2.438496e-05 #> [12958,] 8.325972e-05 6.904534e-05 6.156772e-05 6.726586e-05 5.887526e-05 #> [12959,] 2.297113e-05 2.507763e-05 2.295532e-05 2.367148e-05 2.470658e-05 #> [12960,] 4.847140e-05 4.336487e-05 4.347339e-05 4.953870e-05 5.045401e-05 #> [12961,] 2.833539e-05 3.057893e-05 3.022931e-05 3.099017e-05 3.129812e-05 #> [12962,] 7.386403e-04 9.444795e-04 1.030371e-03 7.601836e-04 5.616195e-04 #> [12963,] 3.994569e-04 8.136021e-04 7.105886e-04 6.552444e-04 6.206968e-04 #> [12964,] 2.654399e-05 2.798882e-05 3.558587e-05 3.690828e-05 3.718128e-05 #> [12965,] 3.059824e-05 2.919985e-05 3.010268e-05 3.138204e-05 3.009134e-05 #> [12966,] 2.636611e-05 2.676179e-05 2.658406e-05 2.669222e-05 2.886289e-05 #> [12967,] 2.257409e-05 2.273760e-05 2.319076e-05 2.435779e-05 2.480567e-05 #> [12968,] 1.105772e-04 2.404269e-04 2.834871e-04 1.644414e-04 1.935168e-04 #> [12969,] 1.068119e-04 1.197760e-04 1.138156e-04 1.595890e-04 3.977032e-04 #> [12970,] 2.986096e-05 2.859240e-05 3.728225e-05 4.378490e-05 4.463142e-05 #> [12971,] 3.129140e-05 3.590512e-05 3.398121e-05 3.962765e-05 3.805275e-05 #> [12972,] 3.980285e-05 3.658787e-05 5.476229e-05 4.788002e-05 4.331739e-05 #> [12973,] 2.868671e-05 3.668022e-05 3.917408e-05 3.805674e-05 3.307753e-05 #> [12974,] 2.599470e-05 2.864993e-05 3.105924e-05 3.027677e-05 2.917170e-05 #> [12975,] 4.756237e-05 5.402254e-05 3.079656e-05 3.031706e-05 3.337619e-05 #> [12976,] 2.639004e-05 2.815941e-05 3.055303e-05 3.025691e-05 3.117399e-05 #> [12977,] 2.509509e-05 2.491514e-05 2.939831e-05 3.041993e-05 3.348638e-05 #> [12978,] 2.720129e-05 2.634219e-05 2.882600e-05 2.902195e-05 3.099668e-05 #> [12979,] 2.565790e-05 2.785399e-05 2.519737e-05 2.675101e-05 2.712622e-05 #> [12980,] 1.046591e-04 9.261928e-05 1.508651e-04 1.809062e-04 1.808602e-04 #> [12981,] 2.861455e-05 2.853304e-05 2.801969e-05 2.885306e-05 2.953211e-05 #> [12982,] 7.946337e-05 3.937013e-05 5.550499e-05 5.052042e-05 3.636762e-05 #> [12983,] 1.131221e-04 1.323701e-04 2.303668e-04 2.124313e-04 2.029050e-04 #> [12984,] 2.583058e-05 2.942260e-05 3.085052e-05 3.255663e-05 3.205525e-05 #> [12985,] 2.372367e-05 2.727967e-05 3.729148e-05 3.501333e-05 3.809501e-05 #> [12986,] 2.461921e-05 2.673368e-05 3.040137e-05 2.828979e-05 2.821687e-05 #> [12987,] 7.517932e-04 6.626633e-04 9.200683e-04 7.260149e-04 8.016729e-04 #> [12988,] 5.566159e-05 6.632077e-05 8.124828e-05 9.505462e-05 1.063500e-04 #> [12989,] 2.312982e-05 2.518397e-05 2.738186e-05 2.582248e-05 2.330873e-05 #> [12990,] 2.504326e-05 2.558102e-05 2.983143e-05 2.868972e-05 3.034553e-05 #> [12991,] 6.834877e-05 8.705830e-05 3.943011e-05 4.095810e-05 4.595896e-05 #> [12992,] 1.396350e-04 1.071571e-04 8.964369e-05 9.278180e-05 6.948971e-05 #> [12993,] 3.312732e-05 3.327198e-05 3.687024e-05 3.641196e-05 3.253368e-05 #> [12994,] 3.657372e-05 4.061059e-05 4.074039e-05 4.161454e-05 4.020744e-05 #> [12995,] 2.719282e-04 2.250725e-04 2.476631e-04 2.602443e-04 2.554779e-04 #> [12996,] 3.204507e-05 3.252651e-05 4.586116e-05 4.595955e-05 3.374304e-05 #> [12997,] 2.619166e-05 2.577221e-05 2.359633e-05 2.372596e-05 2.402249e-05 #> [12998,] 2.456106e-05 2.578386e-05 2.763393e-05 3.050279e-05 2.680369e-05 #> [12999,] 8.694630e-05 9.548561e-05 7.042360e-05 6.981744e-05 8.904819e-05 #> [13000,] 2.648835e-05 2.955708e-05 3.435172e-05 3.410312e-05 3.639815e-05 #> [13001,] 1.357686e-04 4.522272e-04 9.721241e-05 2.067607e-04 4.009296e-04 #> [13002,] 4.096080e-05 3.681674e-05 4.472402e-05 4.612480e-05 6.016297e-05 #> [13003,] 1.374348e-04 2.620381e-04 2.015237e-04 3.189736e-04 3.519044e-04 #> [13004,] 2.666487e-05 2.895098e-05 3.064408e-05 3.299232e-05 3.456496e-05 #> [13005,] 3.505611e-05 3.174139e-05 5.209281e-05 3.902747e-05 4.683616e-05 #> [13006,] 1.141828e-04 8.314982e-05 9.566491e-05 1.160644e-04 1.692938e-04 #> [13007,] 3.209999e-05 3.459122e-05 3.440685e-05 3.510719e-05 3.408630e-05 #> [13008,] 3.333405e-05 3.455089e-05 5.451606e-05 4.465260e-05 4.161861e-05 #> [13009,] 4.086248e-05 3.771047e-05 4.136410e-05 4.208424e-05 3.665149e-05 #> [13010,] 2.334211e-05 2.269936e-05 2.456035e-05 2.692007e-05 2.854332e-05 #> [13011,] 2.423285e-05 2.440435e-05 2.651369e-05 2.811325e-05 2.887966e-05 #> [13012,] 1.985338e-05 2.115150e-05 2.115799e-05 2.061270e-05 2.020095e-05 #> [13013,] 2.652257e-05 3.355483e-05 3.216195e-05 3.102779e-05 3.338023e-05 #> [13014,] 2.437553e-05 2.428103e-05 2.256326e-05 2.266762e-05 2.227782e-05 #> [13015,] 2.712528e-05 2.789685e-05 3.151224e-05 3.294838e-05 2.922334e-05 #> [13016,] 2.508893e-05 2.437972e-05 2.781845e-05 3.004984e-05 2.676858e-05 #> [13017,] 2.085284e-05 2.109131e-05 2.262347e-05 2.176535e-05 2.117472e-05 #> [13018,] 2.420329e-05 2.266826e-05 2.345949e-05 2.515579e-05 2.608316e-05 #> [13019,] 2.547198e-05 2.682516e-05 5.091249e-05 9.583699e-05 2.561982e-04 #> [13020,] 2.605104e-05 2.695382e-05 3.066135e-05 3.239966e-05 3.376214e-05 #> [13021,] 5.266376e-05 6.112502e-05 5.038000e-05 5.780405e-05 6.636957e-05 #> [13022,] 6.625913e-05 5.028073e-05 4.058637e-05 3.897306e-05 3.527052e-05 #> [13023,] 2.495892e-04 2.296638e-04 2.413597e-04 2.264707e-04 1.971818e-04 #> [13024,] 5.239838e-04 9.175795e-04 6.672856e-04 8.958611e-04 8.157448e-04 #> [13025,] 2.530881e-05 2.530788e-05 2.531163e-05 2.850602e-05 2.912839e-05 #> [13026,] 2.559948e-05 2.521298e-05 2.782511e-05 3.077247e-05 3.230195e-05 #> [13027,] 9.293414e-05 1.033365e-04 9.129755e-05 9.284908e-05 8.759214e-05 #> [13028,] 2.342470e-05 2.595805e-05 2.549683e-05 2.585185e-05 2.566672e-05 #> [13029,] 2.359904e-05 2.565956e-05 2.742232e-05 2.891900e-05 2.794787e-05 #> [13030,] 2.810324e-05 2.792083e-05 3.265771e-05 2.994333e-05 3.041068e-05 #> [13031,] 2.667843e-05 2.614087e-05 2.785494e-05 2.890370e-05 2.824078e-05 #> [13032,] 2.635091e-05 2.587348e-05 2.961627e-05 3.225745e-05 2.882776e-05 #> [13033,] 2.814414e-05 3.037441e-05 2.999039e-05 3.122712e-05 3.110118e-05 #> [13034,] 2.843917e-05 3.170434e-05 3.277791e-05 3.427974e-05 3.420104e-05 #> [13035,] 1.711836e-04 1.771990e-04 3.176185e-04 3.170466e-04 2.649465e-04 #> [13036,] 2.530778e-05 2.414542e-05 2.676959e-05 2.994419e-05 3.231606e-05 #> [13037,] 2.214933e-05 2.385972e-05 2.299821e-05 2.227579e-05 2.375022e-05 #> [13038,] 2.773993e-05 4.710233e-05 4.399094e-05 3.459166e-05 3.644748e-05 #> [13039,] 2.704029e-05 2.877799e-05 2.819973e-05 2.941894e-05 3.188690e-05 #> [13040,] 3.163990e-05 3.153358e-05 3.777374e-05 4.152783e-05 3.552639e-05 #> [13041,] 3.838591e-05 3.581954e-05 3.145745e-05 3.361809e-05 3.575640e-05 #> [13042,] 2.791114e-05 2.722981e-05 3.036975e-05 3.406337e-05 3.528214e-05 #> [13043,] 2.576682e-05 2.671540e-05 2.780431e-05 3.076505e-05 3.026403e-05 #> [13044,] 2.237560e-05 2.180862e-05 2.467451e-05 2.468857e-05 2.423776e-05 #> [13045,] 2.521077e-05 2.572779e-05 2.958245e-05 2.944014e-05 3.136930e-05 #> [13046,] 4.034835e-05 3.177898e-05 3.187134e-05 3.090317e-05 3.123208e-05 #> [13047,] 2.760797e-05 2.768486e-05 2.989202e-05 3.880862e-05 4.932608e-05 #> [13048,] 2.824817e-05 3.272419e-05 3.718385e-05 3.782072e-05 3.803809e-05 #> [13049,] 6.918366e-05 8.401798e-05 3.496976e-05 3.489714e-05 3.634012e-05 #> [13050,] 3.615046e-05 6.389210e-05 7.892640e-05 6.170204e-05 8.227176e-05 #> [13051,] 1.037751e-04 1.464190e-04 1.263582e-04 1.712054e-04 1.306568e-04 #> [13052,] 3.531610e-05 3.113919e-05 2.852427e-05 2.770724e-05 3.191542e-05 #> [13053,] 9.261798e-05 5.797763e-05 4.370925e-05 4.977221e-05 5.059119e-05 #> [13054,] 2.578953e-05 2.513398e-05 2.774746e-05 2.981232e-05 2.886981e-05 #> [13055,] 2.363197e-04 3.083568e-04 2.588258e-04 2.920138e-04 1.933344e-04 #> [13056,] 2.433089e-05 3.186095e-05 4.399263e-05 3.203644e-05 2.808937e-05 #> [13057,] 2.384173e-05 2.308874e-05 2.371902e-05 2.649353e-05 2.631188e-05 #> [13058,] 2.338030e-05 2.121377e-05 2.138779e-05 2.223804e-05 2.266699e-05 #> [13059,] 4.944808e-05 4.644708e-05 1.051224e-04 7.326487e-05 4.859823e-05 #> [13060,] 2.879741e-05 2.751062e-05 2.608893e-05 2.930579e-05 2.720379e-05 #> [13061,] 1.672686e-04 1.001734e-04 6.599633e-05 6.684504e-05 5.482812e-05 #> [13062,] 2.594128e-05 2.478448e-05 2.544724e-05 2.733388e-05 2.896110e-05 #> [13063,] 3.096375e-05 2.687583e-05 3.533442e-05 4.497502e-05 4.724885e-05 #> [13064,] 2.825158e-05 2.711930e-05 2.896763e-05 3.052780e-05 2.914746e-05 #> [13065,] 2.573258e-05 2.545594e-05 2.460585e-05 2.623418e-05 2.723270e-05 #> [13066,] 2.944657e-05 3.107465e-05 2.959291e-05 3.297019e-05 3.340149e-05 #> [13067,] 2.712914e-05 2.864551e-05 2.752403e-05 2.894829e-05 2.952291e-05 #> [13068,] 2.364273e-05 2.177656e-05 2.247934e-05 2.338754e-05 2.264005e-05 #> [13069,] 2.311692e-05 2.333162e-05 2.322579e-05 2.592493e-05 2.596408e-05 #> [13070,] 6.282873e-04 6.483128e-04 5.689660e-04 5.525167e-04 5.698676e-04 #> [13071,] 2.363325e-05 2.564310e-05 2.445799e-05 2.493329e-05 2.734040e-05 #> [13072,] 2.369930e-05 2.463081e-05 3.027914e-05 3.075038e-05 3.171541e-05 #> [13073,] 3.345853e-05 3.636365e-05 3.506579e-05 3.540724e-05 3.728423e-05 #> [13074,] 2.464827e-05 2.383366e-05 2.788456e-05 2.783607e-05 2.614314e-05 #> [13075,] 2.392198e-05 2.402971e-05 2.299944e-05 2.372865e-05 2.368972e-05 #> [13076,] 2.495358e-05 2.775398e-05 2.996771e-05 3.102106e-05 3.577846e-05 #> [13077,] 3.099550e-05 2.901606e-05 3.022638e-05 3.606734e-05 3.307738e-05 #> [13078,] 2.823633e-05 2.672841e-05 3.096543e-05 3.129187e-05 3.087615e-05 #> [13079,] 2.565267e-05 2.599158e-05 2.723439e-05 2.905182e-05 2.591694e-05 #> [13080,] 4.952045e-05 4.780551e-05 8.399803e-05 7.119403e-05 6.516821e-05 #> [13081,] 2.459093e-05 2.758286e-05 2.736298e-05 2.551023e-05 2.661766e-05 #> [13082,] 3.296218e-05 3.248305e-05 3.330630e-05 3.197306e-05 3.539269e-05 #> [13083,] 3.338742e-05 3.367051e-05 2.675337e-05 2.820995e-05 3.065651e-05 #> [13084,] 2.540051e-05 2.532815e-05 2.588207e-05 2.667317e-05 2.699650e-05 #> [13085,] 2.345388e-05 2.499044e-05 2.662986e-05 2.689231e-05 2.769387e-05 #> [13086,] 8.429413e-05 6.492298e-05 7.485667e-05 9.188645e-05 1.225159e-04 #> [13087,] 3.038463e-05 3.267765e-05 3.046679e-05 2.967575e-05 2.911269e-05 #> [13088,] 2.479150e-05 2.291811e-05 2.299711e-05 2.571160e-05 2.875236e-05 #> [13089,] 1.817654e-04 2.200516e-04 2.118631e-04 2.173415e-04 1.336285e-04 #> [13090,] 2.485900e-05 2.430729e-05 2.677315e-05 2.923344e-05 2.693248e-05 #> [13091,] 2.561998e-05 2.729945e-05 3.200017e-05 3.026888e-05 2.982890e-05 #> [13092,] 2.661638e-05 2.688554e-05 2.581278e-05 2.671742e-05 2.682230e-05 #> [13093,] 3.309082e-05 3.050264e-05 4.150090e-05 5.453416e-05 6.637819e-05 #> [13094,] 3.315499e-05 3.877310e-05 3.422437e-05 3.637925e-05 4.127198e-05 #> [13095,] 4.734632e-05 4.498166e-05 5.017449e-05 6.091115e-05 6.047516e-05 #> [13096,] 3.878641e-05 3.809295e-05 3.079216e-05 2.939270e-05 2.731172e-05 #> [13097,] 3.966614e-05 6.260337e-05 1.522314e-04 1.341399e-04 8.971994e-05 #> [13098,] 1.330126e-04 2.337923e-04 7.579775e-04 5.341901e-04 3.231415e-04 #> [13099,] 2.999581e-05 3.227145e-05 3.627259e-05 3.708827e-05 3.462327e-05 #> [13100,] 2.748658e-05 3.190815e-05 3.622911e-05 4.007837e-05 3.930833e-05 #> [13101,] 3.523041e-05 3.736282e-05 6.335425e-05 5.525516e-05 4.246933e-05 #> [13102,] 3.412551e-05 4.539247e-05 7.517413e-05 6.163547e-05 3.978948e-05 #> [13103,] 3.288134e-05 2.957479e-05 3.738877e-05 3.702865e-05 3.057959e-05 #> [13104,] 2.435294e-05 2.581881e-05 2.974328e-05 3.124007e-05 2.851981e-05 #> [13105,] 2.824936e-05 2.968983e-05 3.274534e-05 3.505116e-05 3.467947e-05 #> [13106,] 2.761700e-05 2.717205e-05 2.707924e-05 2.575135e-05 2.557621e-05 #> [13107,] 4.638424e-05 3.522135e-05 2.691297e-05 2.943426e-05 3.238206e-05 #> [13108,] 2.669089e-05 2.683912e-05 2.781279e-05 3.063682e-05 3.258390e-05 #> [13109,] 6.721428e-05 5.017939e-05 6.409337e-05 6.056197e-05 8.447548e-05 #> [13110,] 2.457931e-05 2.559711e-05 2.839243e-05 2.758010e-05 2.901236e-05 #> [13111,] 2.395578e-05 2.366282e-05 2.611610e-05 2.721144e-05 2.694214e-05 #> [13112,] 8.530104e-05 9.729366e-05 5.238674e-05 3.783565e-05 4.784128e-05 #> [13113,] 2.593396e-05 2.716728e-05 2.852535e-05 2.762624e-05 2.891564e-05 #> [13114,] 4.608919e-05 5.121898e-05 5.847974e-05 5.166622e-05 4.525320e-05 #> [13115,] 5.383531e-05 4.628660e-05 6.100662e-05 7.312228e-05 8.600139e-05 #> [13116,] 2.927889e-05 2.589153e-05 3.155471e-05 3.456200e-05 3.338370e-05 #> [13117,] 6.271837e-05 5.848522e-05 4.087294e-05 3.682257e-05 3.635467e-05 #> [13118,] 2.882318e-04 1.923913e-04 1.581001e-04 1.654195e-04 1.448232e-04 #> [13119,] 9.460397e-05 1.181977e-04 7.031952e-05 8.272688e-05 6.385855e-05 #> [13120,] 3.291358e-05 3.456325e-05 3.190426e-05 3.669050e-05 4.922158e-05 #> [13121,] 1.224472e-04 7.225098e-05 1.161130e-04 9.530549e-05 8.546311e-05 #> [13122,] 2.892066e-05 3.381712e-05 2.990612e-05 3.028032e-05 3.194319e-05 #> [13123,] 3.336525e-05 3.848640e-05 3.270429e-05 3.563404e-05 3.487080e-05 #> [13124,] 3.027381e-05 3.247205e-05 3.073865e-05 3.288464e-05 3.330157e-05 #> [13125,] 4.397632e-05 4.942871e-05 4.791914e-05 4.922840e-05 4.391032e-05 #> [13126,] 3.563113e-05 3.463831e-05 3.417703e-05 3.573880e-05 3.717568e-05 #> [13127,] 3.960616e-05 4.849762e-05 5.152378e-05 6.060099e-05 5.955371e-05 #> [13128,] 4.038551e-05 6.077274e-05 3.790955e-05 3.661282e-05 7.353299e-05 #> [13129,] 3.814162e-05 4.564095e-05 3.732821e-05 3.668529e-05 3.555637e-05 #> [13130,] 2.929775e-05 3.120053e-05 3.377993e-05 3.089652e-05 3.106885e-05 #> [13131,] 2.311634e-05 2.279948e-05 2.651573e-05 2.265335e-05 2.420813e-05 #> [13132,] 4.692832e-05 6.618557e-05 6.060183e-05 5.947144e-05 7.089170e-05 #> [13133,] 2.732230e-05 2.964810e-05 3.134484e-05 3.084732e-05 3.054719e-05 #> [13134,] 2.148314e-05 2.219930e-05 2.339125e-05 2.159023e-05 2.399818e-05 #> [13135,] 2.335111e-05 2.276263e-05 2.393439e-05 2.462737e-05 2.544217e-05 #> [13136,] 2.936324e-05 3.195043e-05 3.046521e-05 3.314044e-05 3.849253e-05 #> [13137,] 2.376090e-05 2.650717e-05 3.293799e-05 2.934710e-05 2.865958e-05 #> [13138,] 2.956154e-05 2.486128e-05 3.195619e-05 3.168918e-05 2.963119e-05 #> [13139,] 5.628599e-05 5.495489e-05 9.400877e-05 9.883613e-05 6.446699e-05 #> [13140,] 5.535816e-05 5.439172e-05 1.069520e-04 1.445929e-04 8.400189e-05 #> [13141,] 2.843242e-05 2.970898e-05 3.848495e-05 4.468551e-05 4.948253e-05 #> [13142,] 4.560879e-05 5.435408e-05 4.719192e-05 5.273881e-05 6.680243e-05 #> [13143,] 2.857075e-05 3.299377e-05 3.697840e-05 3.018958e-05 3.356395e-05 #> [13144,] 2.538962e-05 2.805371e-05 3.127167e-05 3.104819e-05 3.061866e-05 #> [13145,] 2.362754e-05 2.550364e-05 2.580935e-05 2.590136e-05 2.740466e-05 #> [13146,] 2.854318e-05 3.372856e-05 2.778829e-05 2.575647e-05 2.901733e-05 #> [13147,] 2.763019e-05 2.692034e-05 4.782149e-05 3.829292e-05 5.444392e-05 #> [13148,] 2.942762e-05 3.021670e-05 3.532659e-05 4.821474e-05 8.365753e-05 #> [13149,] 2.338726e-05 2.235048e-05 2.428866e-05 2.597718e-05 2.596081e-05 #> [13150,] 2.889351e-05 2.760400e-05 3.510330e-05 3.144149e-05 2.982035e-05 #> [13151,] 2.853545e-05 3.331437e-05 4.229870e-05 3.746163e-05 3.737385e-05 #> [13152,] 3.046483e-05 3.007222e-05 3.120041e-05 3.394609e-05 3.245190e-05 #> [13153,] 3.461405e-05 3.200901e-05 3.562436e-05 3.677097e-05 3.445382e-05 #> [13154,] 7.433372e-05 5.920422e-05 8.395073e-05 8.651015e-05 7.607241e-05 #> [13155,] 3.189796e-05 2.918725e-05 4.879955e-05 5.457901e-05 4.081051e-05 #> [13156,] 4.197158e-05 4.808486e-05 3.407348e-05 3.154083e-05 3.651968e-05 #> [13157,] 2.162368e-05 2.158012e-05 2.268833e-05 2.624596e-05 2.644066e-05 #> [13158,] 2.423737e-05 2.253910e-05 2.513960e-05 2.801567e-05 2.804810e-05 #> [13159,] 2.310165e-05 2.240577e-05 2.662344e-05 2.986243e-05 3.019685e-05 #> [13160,] 3.783495e-05 3.946745e-05 1.075094e-04 7.808561e-05 4.910572e-05 #> [13161,] 3.307467e-05 2.854401e-05 3.669730e-05 3.835538e-05 3.531577e-05 #> [13162,] 2.796569e-05 2.498298e-05 3.042837e-05 3.196567e-05 2.903944e-05 #> [13163,] 2.202974e-05 2.121850e-05 2.293506e-05 2.321678e-05 2.348692e-05 #> [13164,] 2.353291e-05 2.302130e-05 2.701928e-05 3.114837e-05 3.188944e-05 #> [13165,] 2.462724e-05 2.515159e-05 2.864757e-05 3.001659e-05 2.930800e-05 #> [13166,] 3.766647e-05 4.063548e-05 3.104739e-05 3.044082e-05 3.540794e-05 #> [13167,] 3.159307e-05 3.878733e-05 3.661253e-05 3.694797e-05 3.939813e-05 #> [13168,] 2.414819e-05 2.657952e-05 2.720149e-05 2.938615e-05 2.889202e-05 #> [13169,] 2.895520e-05 3.679097e-05 6.075839e-05 6.209719e-05 5.863426e-05 #> [13170,] 2.705623e-05 2.755785e-05 2.750132e-05 2.932160e-05 3.000442e-05 #> [13171,] 1.702675e-04 1.554338e-04 6.902031e-05 8.687721e-05 8.305816e-05 #> [13172,] 2.564413e-05 2.693234e-05 3.414306e-05 3.472759e-05 3.275910e-05 #> [13173,] 6.470404e-05 7.463443e-05 6.046242e-05 6.684085e-05 6.749306e-05 #> [13174,] 3.148870e-05 2.844624e-05 2.730859e-05 2.803252e-05 2.726896e-05 #> [13175,] 3.931098e-05 4.210503e-05 3.734853e-05 3.709422e-05 4.193589e-05 #> [13176,] 2.525267e-05 2.572390e-05 2.311129e-05 2.527900e-05 2.590018e-05 #> [13177,] 3.987408e-05 3.430291e-05 5.123536e-05 6.043523e-05 4.886044e-05 #> [13178,] 5.951273e-05 5.790040e-05 4.954907e-05 4.979905e-05 4.849988e-05 #> [13179,] 2.729920e-05 2.821978e-05 3.187727e-05 3.343159e-05 3.146691e-05 #> [13180,] 6.237927e-04 5.467350e-04 1.596681e-04 1.571621e-04 1.188324e-04 #> [13181,] 2.154470e-05 2.199830e-05 2.196069e-05 2.245350e-05 2.128681e-05 #> [13182,] 2.696360e-05 2.894314e-05 3.027735e-05 3.281054e-05 2.925523e-05 #> [13183,] 3.074249e-05 3.495714e-05 5.154848e-05 4.523396e-05 3.957438e-05 #> [13184,] 1.185042e-04 1.505747e-04 1.257309e-04 5.675592e-05 3.400731e-05 #> [13185,] 3.443855e-05 3.995409e-05 3.760247e-05 3.569523e-05 4.035006e-05 #> [13186,] 4.536700e-05 6.835878e-05 9.948203e-05 1.153486e-04 9.205546e-05 #> [13187,] 3.690421e-05 4.248595e-05 6.515251e-05 8.453587e-05 8.793690e-05 #> [13188,] 2.841517e-05 3.152424e-05 3.378702e-05 3.471914e-05 3.321582e-05 #> [13189,] 1.058779e-04 9.916488e-05 1.881544e-04 1.869944e-04 1.159820e-04 #> [13190,] 2.147711e-05 2.167904e-05 2.379789e-05 2.214127e-05 2.152527e-05 #> [13191,] 2.560782e-05 2.608898e-05 2.945557e-05 2.895172e-05 3.044310e-05 #> [13192,] 3.128032e-05 3.365269e-05 3.240122e-05 3.414194e-05 5.507942e-05 #> [13193,] 1.412112e-04 8.262766e-05 6.968014e-05 6.580000e-05 7.905752e-05 #> [13194,] 2.678993e-05 2.764646e-05 2.975613e-05 3.161214e-05 2.949585e-05 #> [13195,] 3.081510e-05 3.151847e-05 3.517999e-05 3.040091e-05 2.731867e-05 #> [13196,] 2.140009e-05 2.076222e-05 2.214471e-05 2.155846e-05 2.046649e-05 #> [13197,] 1.586607e-04 2.570522e-04 2.826395e-04 1.727809e-04 1.464031e-04 #> [13198,] 5.195004e-05 5.491658e-05 4.067160e-05 4.474191e-05 6.460867e-05 #> [13199,] 2.723161e-05 2.865026e-05 3.241368e-05 2.781011e-05 2.971744e-05 #> [13200,] 3.207318e-05 5.128065e-05 6.879859e-05 5.830203e-05 6.044836e-05 #> [13201,] 2.611184e-05 2.856748e-05 3.084053e-05 3.020975e-05 2.923409e-05 #> [13202,] 3.282181e-05 3.764719e-05 3.894004e-05 4.728540e-05 5.144815e-05 #> [13203,] 5.104383e-05 5.530586e-05 4.580344e-05 4.941430e-05 4.989266e-05 #> [13204,] 2.901303e-05 3.015023e-05 3.067736e-05 3.588072e-05 3.680133e-05 #> [13205,] 3.649591e-05 3.148991e-05 3.099065e-05 3.744365e-05 4.061850e-05 #> [13206,] 2.425468e-05 2.558463e-05 2.713494e-05 2.703790e-05 2.889439e-05 #> [13207,] 2.593084e-05 2.675724e-05 2.958431e-05 2.798742e-05 2.987342e-05 #> [13208,] 2.322527e-05 2.307067e-05 2.394246e-05 2.433627e-05 2.576934e-05 #> [13209,] 2.661080e-05 2.623514e-05 2.834358e-05 3.311065e-05 3.162322e-05 #> [13210,] 2.944185e-05 3.499402e-05 7.788557e-05 7.546275e-05 6.191986e-05 #> [13211,] 2.605413e-05 2.751326e-05 3.467301e-05 3.622295e-05 3.153660e-05 #> [13212,] 2.102592e-05 2.044308e-05 2.051737e-05 2.111901e-05 2.186419e-05 #> [13213,] 2.544451e-05 2.691230e-05 2.485059e-05 2.554418e-05 2.476373e-05 #> [13214,] 2.291967e-05 2.314527e-05 2.278616e-05 2.537322e-05 2.522222e-05 #> [13215,] 2.729992e-05 2.491330e-05 2.989118e-05 3.252256e-05 3.278368e-05 #> [13216,] 1.506554e-04 1.272489e-04 1.017343e-04 1.193899e-04 1.493651e-04 #> [13217,] 1.311785e-04 9.067272e-05 7.461278e-05 7.983262e-05 1.519060e-04 #> [13218,] 3.722065e-05 3.866277e-05 3.155520e-05 3.410573e-05 3.393812e-05 #> [13219,] 2.445339e-05 2.554443e-05 2.818799e-05 2.858453e-05 3.153087e-05 #> [13220,] 7.083230e-05 6.847677e-05 6.274093e-05 5.976563e-05 5.901754e-05 #> [13221,] 6.686983e-05 7.101569e-05 5.014108e-05 4.429906e-05 4.819345e-05 #> [13222,] 1.719339e-04 1.557623e-04 1.600655e-04 2.081066e-04 2.049059e-04 #> [13223,] 6.632590e-05 8.190041e-05 7.045686e-05 7.633676e-05 7.727523e-05 #> [13224,] 2.841197e-05 3.064731e-05 2.760879e-05 3.030969e-05 2.908642e-05 #> [13225,] 2.485112e-05 2.673846e-05 2.797057e-05 3.188994e-05 3.950039e-05 #> [13226,] 4.878889e-05 5.234471e-05 3.199213e-05 3.101494e-05 3.214676e-05 #> [13227,] 3.264759e-05 3.363813e-05 3.443923e-05 3.839536e-05 4.143198e-05 #> [13228,] 2.931347e-05 2.815415e-05 3.214717e-05 3.263813e-05 3.282046e-05 #> [13229,] 2.553170e-05 2.900849e-05 2.383134e-05 2.603024e-05 2.546385e-05 #> [13230,] 2.739400e-05 2.913477e-05 2.446635e-05 2.571142e-05 2.648563e-05 #> [13231,] 3.124652e-05 3.079644e-05 3.604066e-05 3.661149e-05 3.728856e-05 #> [13232,] 5.742548e-04 7.330417e-04 4.356071e-04 3.293489e-04 4.100278e-04 #> [13233,] 2.493343e-05 2.323273e-05 2.515057e-05 2.862553e-05 2.899345e-05 #> [13234,] 2.819590e-05 3.181832e-05 4.131471e-05 4.316228e-05 4.399894e-05 #> [13235,] 2.725009e-05 2.771314e-05 2.684337e-05 2.861726e-05 2.883363e-05 #> [13236,] 3.380326e-05 3.425354e-05 3.249301e-05 3.374080e-05 3.565951e-05 #> [13237,] 2.762848e-05 2.520675e-05 2.712733e-05 3.136639e-05 3.567160e-05 #> [13238,] 2.678857e-05 3.001398e-05 3.087286e-05 3.135326e-05 3.300961e-05 #> [13239,] 2.599377e-05 2.756325e-05 2.438673e-05 2.812248e-05 2.839307e-05 #> [13240,] 2.611159e-05 3.134441e-05 3.274507e-05 3.170735e-05 3.160002e-05 #> [13241,] 2.654596e-05 2.503049e-05 2.484310e-05 2.561205e-05 2.710614e-05 #> [13242,] 1.575839e-03 1.670806e-03 1.954299e-03 1.828644e-03 1.398613e-03 #> [13243,] 2.413249e-04 2.504682e-04 2.426400e-04 2.137766e-04 1.816741e-04 #> [13244,] 2.940286e-05 3.031092e-05 3.697433e-05 3.744658e-05 3.668081e-05 #> [13245,] 2.486987e-04 3.019189e-04 5.305565e-04 3.795498e-04 4.711128e-04 #> [13246,] 5.738538e-05 8.956749e-05 7.667235e-05 1.028942e-04 2.574059e-04 #> [13247,] 2.170100e-05 2.242854e-05 2.369598e-05 2.408319e-05 2.296755e-05 #> [13248,] 2.731292e-05 2.969510e-05 3.120943e-05 2.951258e-05 3.058495e-05 #> [13249,] 2.416698e-05 2.662647e-05 2.834798e-05 2.686739e-05 2.950682e-05 #> [13250,] 2.156109e-05 2.374896e-05 2.512904e-05 2.512181e-05 2.492463e-05 #> [13251,] 2.275976e-05 2.312479e-05 2.127368e-05 2.183318e-05 2.264451e-05 #> [13252,] 6.082544e-05 8.151425e-05 5.104678e-05 4.791342e-05 5.407017e-05 #> [13253,] 4.007394e-05 3.720290e-05 4.342436e-05 4.415968e-05 7.508548e-05 #> [13254,] 4.788140e-04 4.573138e-04 4.057924e-04 3.200482e-04 2.278535e-04 #> [13255,] 3.565597e-05 5.206534e-05 6.183491e-05 5.319430e-05 4.916426e-05 #> [13256,] 2.803143e-05 2.762073e-05 2.887727e-05 3.250972e-05 2.786506e-05 #> [13257,] 2.856436e-04 3.095629e-04 4.224270e-04 3.109428e-04 1.905189e-04 #> [13258,] 2.856325e-05 3.107029e-05 2.596423e-05 2.801501e-05 2.841801e-05 #> [13259,] 2.525525e-05 2.413737e-05 2.553647e-05 2.909856e-05 3.048306e-05 #> [13260,] 2.648216e-05 2.570875e-05 2.665086e-05 2.868346e-05 2.975114e-05 #> [13261,] 2.923295e-05 2.961502e-05 2.990220e-05 2.986810e-05 3.120056e-05 #> [13262,] 1.731480e-04 1.654572e-04 1.251635e-04 1.307212e-04 1.232167e-04 #> [13263,] 3.635573e-05 3.377645e-05 4.234123e-05 4.165981e-05 4.156081e-05 #> [13264,] 2.552236e-05 2.635536e-05 3.065107e-05 3.021576e-05 3.293975e-05 #> [13265,] 2.939746e-05 3.401485e-05 4.318136e-05 4.550227e-05 4.630123e-05 #> [13266,] 3.154249e-05 6.244911e-05 4.657149e-05 4.975096e-05 5.730626e-05 #> [13267,] 2.675566e-05 2.612650e-05 2.810370e-05 3.238272e-05 2.828631e-05 #> [13268,] 2.235161e-04 2.199433e-04 8.902996e-05 9.953138e-05 1.140686e-04 #> [13269,] 2.455913e-05 2.475891e-05 2.548904e-05 2.819294e-05 3.128850e-05 #> [13270,] 4.929752e-05 5.238673e-05 7.378423e-05 4.944290e-05 2.701244e-05 #> [13271,] 2.939995e-05 3.101188e-05 3.348963e-05 3.092369e-05 2.801870e-05 #> [13272,] 7.664661e-04 7.553633e-04 2.873972e-04 7.284771e-05 5.692638e-05 #> [13273,] 2.806301e-05 2.972080e-05 2.887935e-05 2.994945e-05 3.062124e-05 #> [13274,] 2.403831e-05 2.447959e-05 2.748727e-05 2.643614e-05 2.916653e-05 #> [13275,] 3.921009e-05 3.993052e-05 3.375511e-05 3.420527e-05 3.905626e-05 #> [13276,] 3.308047e-05 3.872324e-05 2.840175e-05 2.834789e-05 2.714661e-05 #> [13277,] 5.264071e-05 5.365838e-05 8.082269e-05 7.180982e-05 6.561376e-05 #> [13278,] 2.199037e-05 2.026754e-05 2.171983e-05 2.307836e-05 2.256963e-05 #> [13279,] 3.086913e-05 3.254380e-05 2.649043e-05 2.821727e-05 2.984800e-05 #> [13280,] 4.155627e-05 5.480666e-05 3.275269e-05 3.311786e-05 3.439345e-05 #> [13281,] 2.663930e-05 2.870055e-05 3.219369e-05 2.808695e-05 2.889622e-05 #> [13282,] 8.841679e-05 7.440397e-05 4.824661e-04 7.761396e-04 1.429133e-03 #> [13283,] 7.322606e-05 6.937064e-05 4.214499e-05 4.333392e-05 6.276418e-05 #> [13284,] 2.653085e-05 2.749841e-05 2.739046e-05 3.052898e-05 3.692709e-05 #> [13285,] 3.681690e-05 5.151060e-05 6.848722e-05 9.587121e-05 1.057563e-04 #> [13286,] 1.810508e-04 1.428974e-04 8.448060e-05 6.712216e-05 5.288258e-05 #> [13287,] 1.053001e-04 1.019493e-04 5.015734e-05 4.449614e-05 4.602362e-05 #> [13288,] 2.680776e-05 2.674434e-05 3.011409e-05 3.441110e-05 3.287534e-05 #> [13289,] 2.483714e-05 2.612561e-05 3.082144e-05 3.121303e-05 3.217402e-05 #> [13290,] 2.362996e-05 2.487012e-05 2.348078e-05 2.333098e-05 2.418540e-05 #> [13291,] 2.877129e-05 2.651053e-05 3.421149e-05 3.351968e-05 3.018533e-05 #> [13292,] 6.473013e-05 4.824709e-05 3.222827e-05 3.990029e-05 5.015930e-05 #> [13293,] 2.879750e-05 2.788082e-05 3.397026e-05 3.368697e-05 3.385448e-05 #> [13294,] 3.565822e-04 6.090417e-04 1.256922e-04 7.959654e-05 5.986454e-05 #> [13295,] 2.701930e-05 2.587145e-05 2.869397e-05 2.904908e-05 2.919782e-05 #> [13296,] 5.448083e-05 6.544995e-05 7.129042e-05 7.619167e-05 8.313012e-05 #> [13297,] 2.150869e-05 2.074988e-05 2.131027e-05 2.139758e-05 2.232821e-05 #> [13298,] 3.900684e-05 3.889595e-05 3.966026e-05 3.499514e-05 3.705564e-05 #> [13299,] 3.400379e-05 3.674856e-05 3.643198e-05 3.607057e-05 3.498956e-05 #> [13300,] 2.999365e-05 2.855396e-05 3.710801e-05 3.391922e-05 3.098764e-05 #> [13301,] 2.361919e-05 2.501317e-05 2.343930e-05 2.429946e-05 2.603795e-05 #> [13302,] 2.833417e-05 2.720642e-05 2.931009e-05 3.180010e-05 2.950488e-05 #> [13303,] 1.675622e-04 1.346415e-04 1.671801e-04 1.643732e-04 1.313711e-04 #> [13304,] 2.820371e-05 2.693628e-05 3.107608e-05 3.218636e-05 3.013073e-05 #> [13305,] 3.116820e-05 3.219063e-05 3.113883e-05 3.381746e-05 3.508150e-05 #> [13306,] 1.049437e-04 3.226695e-05 3.114641e-05 3.089378e-05 3.161039e-05 #> [13307,] 5.339195e-05 3.176436e-05 2.686259e-05 2.432637e-05 2.797190e-05 #> [13308,] 3.814366e-05 4.025567e-05 5.325806e-05 5.393103e-05 5.135612e-05 #> [13309,] 1.371345e-04 2.032149e-04 2.815358e-04 1.775207e-04 1.559022e-04 #> [13310,] 2.427143e-05 2.547874e-05 2.783282e-05 2.963830e-05 3.056412e-05 #> [13311,] 6.541800e-05 5.977216e-05 8.077405e-05 9.539140e-05 8.887613e-05 #> [13312,] 2.453127e-05 2.332082e-05 2.353137e-05 2.536212e-05 2.571309e-05 #> [13313,] 3.084547e-05 3.279815e-05 3.193838e-05 3.308876e-05 3.400919e-05 #> [13314,] 3.278273e-05 4.997617e-05 5.769020e-05 5.299940e-05 4.121686e-05 #> [13315,] 3.597000e-04 4.263411e-04 5.626703e-04 5.992592e-04 5.960010e-04 #> [13316,] 2.349274e-05 2.516585e-05 2.788784e-05 2.986961e-05 2.966900e-05 #> [13317,] 3.068628e-05 3.183631e-05 3.507984e-05 3.375665e-05 3.030124e-05 #> [13318,] 3.197915e-05 3.012758e-05 3.020077e-05 3.316436e-05 3.298190e-05 #> [13319,] 2.281128e-05 2.493005e-05 2.973821e-05 2.788423e-05 3.284226e-05 #> [13320,] 2.374672e-05 2.327099e-05 2.388161e-05 2.757838e-05 2.815221e-05 #> [13321,] 2.448174e-05 2.662124e-05 2.889381e-05 2.787727e-05 2.925564e-05 #> [13322,] 2.257518e-05 2.312221e-05 2.263691e-05 2.516767e-05 2.475063e-05 #> [13323,] 3.607382e-05 4.099763e-05 3.584870e-05 3.592800e-05 3.500852e-05 #> [13324,] 2.647071e-05 2.636341e-05 3.482304e-05 3.244038e-05 3.523293e-05 #> [13325,] 1.171620e-04 1.624939e-04 1.763724e-04 8.308657e-05 7.908279e-05 #> [13326,] 2.348618e-05 2.343369e-05 2.283726e-05 2.346183e-05 2.238337e-05 #> [13327,] 8.247318e-05 9.027420e-05 8.398032e-05 9.829342e-05 1.873367e-04 #> [13328,] 2.369392e-05 2.585820e-05 3.022647e-05 2.860726e-05 3.074389e-05 #> [13329,] 3.153196e-05 3.523552e-05 3.643764e-05 3.602325e-05 3.503066e-05 #> [13330,] 7.065246e-05 9.298653e-05 8.660134e-05 9.497818e-05 9.463571e-05 #> [13331,] 2.404742e-05 2.631724e-05 2.655605e-05 2.624131e-05 2.610131e-05 #> [13332,] 2.369836e-05 2.431456e-05 2.260700e-05 2.218583e-05 2.254016e-05 #> [13333,] 2.489225e-05 2.349497e-05 2.498089e-05 2.671977e-05 2.834814e-05 #> [13334,] 2.530105e-05 2.863850e-05 5.073677e-05 4.543309e-05 4.296780e-05 #> [13335,] 6.311612e-04 1.199598e-03 9.470888e-04 7.254068e-04 5.332554e-04 #> [13336,] 2.387364e-05 2.320331e-05 2.434617e-05 2.636872e-05 2.773528e-05 #> [13337,] 2.452467e-05 2.655805e-05 3.330386e-05 3.790914e-05 4.899242e-05 #> [13338,] 2.836317e-05 2.332266e-05 2.403476e-05 2.730686e-05 2.801560e-05 #> [13339,] 1.339276e-04 7.966343e-05 5.403879e-05 7.841090e-05 7.944778e-05 #> [13340,] 3.215194e-05 2.511038e-05 2.717016e-05 2.875648e-05 2.912939e-05 #> [13341,] 9.891346e-05 6.799371e-05 6.515461e-05 6.214747e-05 4.836835e-05 #> [13342,] 4.116456e-05 4.425257e-05 3.125404e-05 3.239858e-05 3.625605e-05 #> [13343,] 1.886464e-03 1.758937e-03 6.168504e-04 6.499748e-04 3.915903e-04 #> [13344,] 7.647739e-04 6.470994e-04 1.434618e-04 8.887115e-05 5.072286e-05 #> [13345,] 1.670534e-04 3.775245e-04 9.738801e-05 7.767558e-05 4.727065e-05 #> [13346,] 2.537434e-05 2.365262e-05 2.336103e-05 2.612310e-05 2.855494e-05 #> [13347,] 2.147367e-03 2.152096e-03 2.031358e-03 1.893932e-03 1.239585e-03 #> [13348,] 2.947091e-05 3.169995e-05 2.631354e-05 2.791249e-05 3.562003e-05 #> [13349,] 2.974366e-05 2.888444e-05 3.023756e-05 2.802355e-05 2.895691e-05 #> [13350,] 2.602159e-05 2.688168e-05 2.892805e-05 2.860721e-05 2.605665e-05 #> [13351,] 5.924012e-05 4.495033e-05 4.321165e-05 4.323876e-05 4.598715e-05 #> [13352,] 2.501709e-05 2.420097e-05 2.500871e-05 2.452213e-05 2.544887e-05 #> [13353,] 3.573273e-05 3.677054e-05 4.000475e-05 3.791842e-05 3.665387e-05 #> [13354,] 1.913652e-04 1.471397e-04 1.232708e-04 2.533426e-04 2.478618e-04 #> [13355,] 2.450760e-05 2.482932e-05 2.692031e-05 2.667520e-05 2.802153e-05 #> [13356,] 3.158219e-05 2.808709e-05 2.858605e-05 2.896392e-05 2.880688e-05 #> [13357,] 2.520872e-05 2.747423e-05 3.453433e-05 3.345000e-05 3.281939e-05 #> [13358,] 3.760544e-05 3.406012e-05 3.290591e-05 3.921655e-05 4.834522e-05 #> [13359,] 2.538694e-05 2.598623e-05 2.787498e-05 2.941555e-05 2.789476e-05 #> [13360,] 2.539488e-05 2.690599e-05 3.503783e-05 3.269092e-05 3.241422e-05 #> [13361,] 2.557190e-05 3.023251e-05 3.719789e-05 3.862134e-05 3.851135e-05 #> [13362,] 8.017045e-05 9.580505e-05 5.045220e-05 4.199905e-05 5.290316e-05 #> [13363,] 2.544727e-05 2.769306e-05 2.988284e-05 3.124877e-05 3.187613e-05 #> [13364,] 3.404194e-05 3.493935e-05 4.705352e-05 3.415634e-05 3.436968e-05 #> [13365,] 2.270297e-05 2.254520e-05 2.403289e-05 2.413459e-05 2.402320e-05 #> [13366,] 2.537243e-05 2.351738e-05 2.265228e-05 2.785054e-05 2.683444e-05 #> [13367,] 2.606933e-05 2.495769e-05 2.780151e-05 2.836990e-05 2.898297e-05 #> [13368,] 2.941066e-05 2.967117e-05 3.076866e-05 3.229210e-05 3.119125e-05 #> [13369,] 3.006879e-05 2.747297e-05 3.193697e-05 3.407114e-05 3.546190e-05 #> [13370,] 3.093822e-05 2.844593e-05 4.521489e-05 5.045175e-05 4.044183e-05 #> [13371,] 2.578329e-05 2.550195e-05 2.371149e-05 2.825441e-05 2.918256e-05 #> [13372,] 2.427736e-05 2.660350e-05 2.881456e-05 3.074217e-05 3.324568e-05 #> [13373,] 2.076755e-05 2.156685e-05 2.363388e-05 2.408876e-05 2.462493e-05 #> [13374,] 4.259925e-05 6.279322e-05 5.983455e-05 5.636977e-05 5.912083e-05 #> [13375,] 3.267631e-05 3.580746e-05 3.430839e-05 3.542962e-05 3.703375e-05 #> [13376,] 2.966925e-05 2.745347e-05 2.946193e-05 3.384662e-05 3.167547e-05 #> [13377,] 4.245307e-05 4.608386e-05 3.644288e-05 3.309996e-05 3.001168e-05 #> [13378,] 2.362398e-05 2.645587e-05 3.087430e-05 2.997695e-05 3.103064e-05 #> [13379,] 1.407397e-04 5.659839e-04 1.670650e-04 1.658097e-04 2.637944e-04 #> [13380,] 6.632303e-05 6.028698e-05 6.143231e-05 6.177482e-05 5.579735e-05 #> [13381,] 5.231288e-05 5.045791e-05 2.796436e-05 2.467480e-05 3.163301e-05 #> [13382,] 2.396034e-05 2.574045e-05 2.838259e-05 2.863554e-05 3.079945e-05 #> [13383,] 3.029220e-05 3.209265e-05 3.425258e-05 3.170052e-05 4.354285e-05 #> [13384,] 3.119319e-05 3.001313e-05 3.533029e-05 4.112163e-05 3.645429e-05 #> [13385,] 2.921784e-05 2.610645e-05 3.233178e-05 3.344451e-05 3.452087e-05 #> [13386,] 2.836573e-05 2.669882e-05 2.671046e-05 3.146999e-05 3.010458e-05 #> [13387,] 2.853384e-05 3.371612e-05 4.493643e-05 4.122828e-05 6.335044e-05 #> [13388,] 2.797481e-05 2.662262e-05 2.737571e-05 3.296244e-05 3.412422e-05 #> [13389,] 3.041864e-05 3.295675e-05 3.941574e-05 4.688949e-05 5.661729e-05 #> [13390,] 2.571625e-05 2.444727e-05 2.486697e-05 2.667314e-05 2.670053e-05 #> [13391,] 1.512791e-03 1.496755e-03 1.984996e-03 1.889155e-03 1.776036e-03 #> [13392,] 9.101979e-05 1.162076e-04 1.338452e-04 1.619732e-04 1.881593e-04 #> [13393,] 2.290630e-05 2.345693e-05 2.378890e-05 2.454759e-05 2.453597e-05 #> [13394,] 4.287803e-05 3.136445e-05 3.599286e-05 4.737872e-05 3.879423e-05 #> [13395,] 7.618060e-05 2.177774e-04 5.721298e-04 4.907171e-04 4.250492e-04 #> [13396,] 2.383767e-05 2.474029e-05 2.530397e-05 2.672207e-05 2.659255e-05 #> [13397,] 2.218914e-05 2.165709e-05 2.367271e-05 2.334161e-05 2.305245e-05 #> [13398,] 2.531981e-05 2.417382e-05 2.798938e-05 2.972710e-05 2.969268e-05 #> [13399,] 3.631170e-05 3.094170e-05 3.714867e-05 3.772219e-05 3.680036e-05 #> [13400,] 2.926178e-05 2.786477e-05 2.790449e-05 3.277685e-05 3.373074e-05 #> [13401,] 2.321813e-05 2.393647e-05 2.692546e-05 2.632787e-05 2.518745e-05 #> [13402,] 2.280620e-05 2.680818e-05 3.159058e-05 3.097633e-05 4.381636e-05 #> [13403,] 6.161097e-05 6.129895e-05 4.533012e-05 4.386237e-05 3.929561e-05 #> [13404,] 2.563065e-05 2.673963e-05 3.214511e-05 3.391960e-05 3.119629e-05 #> [13405,] 2.642793e-05 2.961861e-05 3.405731e-05 3.235144e-05 3.277219e-05 #> [13406,] 4.740455e-05 4.738429e-05 3.408558e-05 3.392480e-05 4.867006e-05 #> [13407,] 2.320948e-04 2.425082e-04 3.435440e-04 5.154339e-04 5.156990e-04 #> [13408,] 2.608725e-05 2.711592e-05 2.700920e-05 3.004823e-05 2.964861e-05 #> [13409,] 2.480772e-05 2.627613e-05 2.523151e-05 2.467313e-05 2.537989e-05 #> [13410,] 2.835526e-05 2.684764e-05 2.566521e-05 2.820994e-05 2.844967e-05 #> [13411,] 6.434740e-05 8.817653e-05 7.326915e-05 7.392246e-05 6.483325e-05 #> [13412,] 2.982758e-05 3.039246e-05 3.387981e-05 3.417024e-05 3.179621e-05 #> [13413,] 2.256470e-05 2.227903e-05 2.250737e-05 2.250469e-05 2.193086e-05 #> [13414,] 6.179386e-04 8.680151e-04 6.777383e-04 6.140930e-04 6.297657e-04 #> [13415,] 2.372698e-05 2.333107e-05 2.627835e-05 2.638548e-05 2.842985e-05 #> [13416,] 2.754848e-05 3.126364e-05 2.923594e-05 3.187309e-05 3.592433e-05 #> [13417,] 4.906838e-04 9.366509e-04 8.124282e-04 5.019853e-04 3.405258e-04 #> [13418,] 4.939333e-05 4.187309e-05 5.765123e-05 5.315234e-05 4.343938e-05 #> [13419,] 2.971128e-05 3.377973e-05 4.007002e-05 4.093124e-05 3.978843e-05 #> [13420,] 5.280918e-05 5.700694e-05 6.360280e-05 6.943750e-05 7.852623e-05 #> [13421,] 4.918308e-04 4.218338e-04 4.253340e-04 3.921462e-04 3.141284e-04 #> [13422,] 2.806872e-05 2.945308e-05 3.115173e-05 3.344267e-05 2.850572e-05 #> [13423,] 2.882011e-05 2.977674e-05 3.483587e-05 3.766022e-05 3.175313e-05 #> [13424,] 2.293752e-05 2.346599e-05 2.450491e-05 2.334522e-05 2.267696e-05 #> [13425,] 7.098698e-05 7.885282e-05 7.302692e-05 9.737702e-05 1.248776e-04 #> [13426,] 3.523432e-05 4.356011e-05 6.184738e-05 5.581860e-05 4.443511e-05 #> [13427,] 2.683121e-05 3.079104e-05 2.683769e-05 2.604452e-05 2.667425e-05 #> [13428,] 2.677051e-05 2.638419e-05 2.976440e-05 3.085444e-05 2.844394e-05 #> [13429,] 3.937335e-04 2.980343e-04 1.450750e-04 1.422707e-04 1.491852e-04 #> [13430,] 1.618187e-04 7.899918e-05 6.478634e-05 6.450342e-05 7.259038e-05 #> [13431,] 3.809795e-05 4.716738e-05 6.100253e-05 6.164642e-05 6.306358e-05 #> [13432,] 2.896473e-05 3.057884e-05 2.920735e-05 2.907416e-05 2.977865e-05 #> [13433,] 2.186522e-05 2.167703e-05 2.379723e-05 2.281879e-05 2.238317e-05 #> [13434,] 2.669387e-05 2.730344e-05 2.903871e-05 3.072131e-05 3.013148e-05 #> [13435,] 2.382387e-05 2.491391e-05 2.433590e-05 2.558617e-05 2.504111e-05 #> [13436,] 2.544438e-05 2.572581e-05 2.328353e-05 3.055331e-05 3.521479e-05 #> [13437,] 2.977491e-05 3.029568e-05 3.081723e-05 3.170551e-05 3.291202e-05 #> [13438,] 3.737797e-05 3.625982e-05 7.365301e-05 6.348909e-05 8.046287e-05 #> [13439,] 3.359743e-05 3.948493e-05 9.500305e-05 1.032825e-04 9.448305e-05 #> [13440,] 1.003371e-04 7.383724e-05 9.880617e-05 8.762204e-05 6.459835e-05 #> [13441,] 2.080436e-04 2.161816e-04 2.560970e-04 2.444819e-04 1.616515e-04 #> [13442,] 1.725105e-04 3.236442e-04 4.112183e-04 4.461298e-04 5.500371e-04 #> [13443,] 2.926639e-05 3.022077e-05 3.155330e-05 3.264836e-05 3.102212e-05 #> [13444,] 7.333269e-05 6.242782e-05 8.180723e-05 9.370725e-05 7.694896e-05 #> [13445,] 1.252792e-04 1.688731e-04 1.131463e-04 8.982087e-05 1.115279e-04 #> [13446,] 4.022842e-05 4.229979e-05 3.425620e-05 3.366833e-05 3.516010e-05 #> [13447,] 3.389079e-05 3.163282e-05 3.271812e-05 3.192946e-05 3.107967e-05 #> [13448,] 6.132696e-05 6.558533e-05 9.361412e-05 9.081267e-05 7.858365e-05 #> [13449,] 3.517148e-05 3.646792e-05 3.726509e-05 4.852324e-05 6.111412e-05 #> [13450,] 2.580703e-05 2.957740e-05 3.468618e-05 3.038625e-05 3.171229e-05 #> [13451,] 8.122285e-05 9.232893e-05 5.590596e-05 5.412468e-05 6.140904e-05 #> [13452,] 7.165043e-05 8.106735e-05 7.643233e-05 6.436726e-05 6.684618e-05 #> [13453,] 2.436396e-05 2.398665e-05 2.335133e-05 2.916558e-05 3.140806e-05 #> [13454,] 5.250192e-05 5.853551e-05 6.625428e-05 5.152809e-05 8.379389e-05 #> [13455,] 4.027386e-05 4.824987e-05 4.609590e-05 6.790856e-05 7.101579e-05 #> [13456,] 4.004286e-05 4.438138e-05 3.824751e-05 4.349890e-05 4.569543e-05 #> [13457,] 2.139248e-04 1.841355e-04 1.979985e-04 1.539672e-04 1.214593e-04 #> [13458,] 2.258425e-05 2.219448e-05 2.219879e-05 2.192470e-05 2.377084e-05 #> [13459,] 2.534484e-05 2.619314e-05 2.941862e-05 3.149736e-05 3.103741e-05 #> [13460,] 2.191698e-05 2.327731e-05 2.256708e-05 2.258179e-05 2.525158e-05 #> [13461,] 3.205172e-05 2.766015e-05 2.543179e-05 2.901464e-05 3.267972e-05 #> [13462,] 3.775914e-04 2.452543e-04 8.580589e-05 7.097786e-05 3.440817e-05 #> [13463,] 5.014492e-05 4.985543e-05 3.938677e-05 3.980422e-05 4.208910e-05 #> [13464,] 2.616799e-05 3.883978e-05 4.424784e-05 3.679943e-05 4.365833e-05 #> [13465,] 5.930297e-05 5.981259e-05 7.257580e-05 6.532445e-05 6.342348e-05 #> [13466,] 2.328663e-05 2.269799e-05 2.230173e-05 2.314735e-05 2.367094e-05 #> [13467,] 2.397900e-05 2.265097e-05 2.417362e-05 2.787213e-05 2.650791e-05 #> [13468,] 2.553299e-05 2.470382e-05 2.487507e-05 2.958274e-05 3.294956e-05 #> [13469,] 2.687638e-05 2.526340e-05 2.636313e-05 2.933436e-05 3.111405e-05 #> [13470,] 3.203504e-05 3.104006e-05 2.914902e-05 3.688917e-05 4.719482e-05 #> [13471,] 7.190136e-04 9.021375e-04 4.994391e-04 5.716379e-04 6.851106e-04 #> [13472,] 2.330128e-05 2.255673e-05 2.408111e-05 2.374551e-05 2.463634e-05 #> [13473,] 3.334341e-05 3.338377e-05 3.636853e-05 4.198238e-05 5.196443e-05 #> [13474,] 2.568611e-05 2.596819e-05 2.973433e-05 2.924732e-05 3.245560e-05 #> [13475,] 2.631389e-05 2.911248e-05 3.248309e-05 3.084383e-05 3.115002e-05 #> [13476,] 2.230318e-05 2.222101e-05 2.356112e-05 2.560241e-05 2.513359e-05 #> [13477,] 3.078464e-05 4.133295e-05 8.369234e-05 8.666141e-05 8.211124e-05 #> [13478,] 4.149521e-05 4.271438e-05 4.488435e-05 5.277909e-05 4.877954e-05 #> [13479,] 3.527678e-05 3.974483e-05 3.205605e-05 3.896833e-05 4.028510e-05 #> [13480,] 3.049725e-05 3.090811e-05 3.113069e-05 2.994916e-05 3.151258e-05 #> [13481,] 5.410086e-05 6.089120e-05 7.138096e-05 7.208822e-05 1.095775e-04 #> [13482,] 2.556905e-05 2.500190e-05 2.369916e-05 2.359144e-05 2.448533e-05 #> [13483,] 8.355861e-05 4.949427e-05 7.581364e-05 1.293435e-04 2.110634e-04 #> [13484,] 4.783977e-05 1.546720e-04 1.256233e-04 1.033577e-04 1.654845e-04 #> [13485,] 3.047233e-05 3.287280e-05 4.680257e-05 5.694555e-05 5.268345e-05 #> [13486,] 2.585877e-05 2.517536e-05 2.472171e-05 2.969868e-05 3.253366e-05 #> [13487,] 2.779479e-05 2.680735e-05 2.900824e-05 2.974348e-05 3.139297e-05 #> [13488,] 2.550321e-05 2.501826e-05 2.360755e-05 2.576592e-05 2.581652e-05 #> [13489,] 2.414624e-05 2.467185e-05 2.596858e-05 2.966645e-05 3.006931e-05 #> [13490,] 2.697114e-05 3.101884e-05 3.184233e-05 3.182021e-05 2.976817e-05 #> [13491,] 4.803416e-05 5.881478e-05 9.201629e-05 8.845327e-05 5.334959e-05 #> [13492,] 3.261826e-05 3.174001e-05 3.717931e-05 4.115003e-05 3.855244e-05 #> [13493,] 2.725728e-05 2.959453e-05 2.853731e-05 2.901894e-05 3.015603e-05 #> [13494,] 2.778342e-05 2.530184e-05 2.822268e-05 2.842504e-05 2.746094e-05 #> [13495,] 2.752560e-05 2.839606e-05 3.620609e-05 3.367895e-05 3.172399e-05 #> [13496,] 2.766933e-05 2.851118e-05 3.188845e-05 3.245310e-05 3.107028e-05 #> [13497,] 7.118169e-04 6.580926e-04 3.233141e-04 3.752021e-04 2.464825e-04 #> [13498,] 4.833629e-04 1.520724e-04 6.107850e-04 7.363229e-05 3.366059e-05 #> [13499,] 2.678835e-05 2.907106e-05 3.144568e-05 3.311168e-05 3.301584e-05 #> [13500,] 3.013421e-05 3.818349e-05 2.499460e-05 2.485864e-05 2.540577e-05 #> [13501,] 2.710720e-05 2.770467e-05 3.174038e-05 3.142597e-05 3.256216e-05 #> [13502,] 3.158917e-05 3.192134e-05 2.400512e-05 2.806152e-05 2.889722e-05 #> [13503,] 2.538010e-05 3.092775e-05 2.806908e-05 2.726025e-05 2.620633e-05 #> [13504,] 2.356580e-05 2.481311e-05 2.850369e-05 2.737113e-05 2.909422e-05 #> [13505,] 3.601503e-05 4.049006e-05 4.411725e-05 4.529439e-05 4.185134e-05 #> [13506,] 2.669570e-05 2.588602e-05 2.728305e-05 2.769071e-05 2.458128e-05 #> [13507,] 2.409505e-05 2.371952e-05 2.252074e-05 2.329429e-05 2.269554e-05 #> [13508,] 5.349496e-05 5.974259e-05 4.051455e-05 4.606857e-05 4.372998e-05 #> [13509,] 2.603323e-05 2.885321e-05 3.158381e-05 3.230377e-05 3.070991e-05 #> [13510,] 3.134703e-05 2.874285e-05 3.805389e-05 4.303340e-05 4.228268e-05 #> [13511,] 4.206829e-04 8.942246e-04 8.297620e-04 1.035430e-03 7.948762e-04 #> [13512,] 5.033395e-04 3.093557e-04 1.476218e-04 1.039122e-04 7.163223e-05 #> [13513,] 2.346200e-05 2.368983e-05 2.601226e-05 2.730759e-05 2.893436e-05 #> [13514,] 2.130943e-05 2.121853e-05 2.394106e-05 2.558509e-05 2.741478e-05 #> [13515,] 2.407792e-05 2.431805e-05 2.262795e-05 2.378788e-05 2.410471e-05 #> [13516,] 2.724746e-05 2.826183e-05 2.632756e-05 2.826213e-05 2.639287e-05 #> [13517,] 2.607802e-05 2.986568e-05 3.559866e-05 2.913145e-05 2.950847e-05 #> [13518,] 2.435170e-05 2.410490e-05 2.835145e-05 3.209154e-05 3.295362e-05 #> [13519,] 2.588372e-05 2.694656e-05 2.973727e-05 3.084150e-05 3.331206e-05 #> [13520,] 2.349554e-05 2.376391e-05 2.068920e-05 2.320547e-05 2.328198e-05 #> [13521,] 2.793879e-05 2.630086e-05 2.599329e-05 2.777727e-05 2.653345e-05 #> [13522,] 2.603645e-05 2.805819e-05 3.249019e-05 3.453901e-05 3.314401e-05 #> [13523,] 3.143752e-05 3.003082e-05 2.844938e-05 2.731205e-05 2.573571e-05 #> [13524,] 3.994610e-05 3.753278e-05 3.782583e-05 3.690714e-05 4.023529e-05 #> [13525,] 3.082382e-05 3.628806e-05 3.492691e-05 2.952964e-05 2.742013e-05 #> [13526,] 3.790889e-05 4.003704e-05 4.136001e-05 3.838881e-05 3.697565e-05 #> [13527,] 2.237888e-05 2.102973e-05 2.250781e-05 2.290731e-05 2.369697e-05 #> [13528,] 3.577742e-05 4.059147e-05 4.868885e-05 4.709682e-05 3.965590e-05 #> [13529,] 2.465610e-05 2.305712e-05 2.169092e-05 2.225628e-05 2.214411e-05 #> [13530,] 3.350202e-05 4.208833e-05 3.974846e-05 3.749616e-05 3.308461e-05 #> [13531,] 2.205989e-05 2.052026e-05 2.387729e-05 2.625123e-05 2.717013e-05 #> [13532,] 3.705093e-05 3.611489e-05 4.442181e-05 4.969239e-05 4.720672e-05 #> [13533,] 2.934618e-05 3.095898e-05 3.246672e-05 2.920376e-05 3.112411e-05 #> [13534,] 2.319409e-05 2.296050e-05 2.319451e-05 2.660616e-05 2.929250e-05 #> [13535,] 4.475450e-05 6.221071e-05 7.826685e-05 8.539165e-05 6.246675e-05 #> [13536,] 2.589397e-05 2.685516e-05 2.892001e-05 2.944336e-05 3.113343e-05 #> [13537,] 2.965938e-05 3.887635e-05 5.441196e-05 4.834503e-05 4.289548e-05 #> [13538,] 8.176046e-05 9.456328e-05 8.702137e-05 1.058378e-04 1.065884e-04 #> [13539,] 2.505885e-05 2.463650e-05 2.561082e-05 2.679114e-05 2.688541e-05 #> [13540,] 2.510674e-05 2.506414e-05 2.631881e-05 3.090915e-05 2.936763e-05 #> [13541,] 2.705776e-05 2.700175e-05 2.788947e-05 2.864296e-05 2.844501e-05 #> [13542,] 4.595336e-05 3.896290e-05 6.340920e-05 7.419193e-05 6.016806e-05 #> [13543,] 2.653636e-05 2.661741e-05 2.923707e-05 2.949720e-05 3.240442e-05 #> [13544,] 2.154065e-04 1.763084e-04 2.898221e-04 3.960128e-04 4.004715e-04 #> [13545,] 3.332938e-05 3.042137e-05 2.809872e-05 2.965625e-05 2.970292e-05 #> [13546,] 2.761485e-05 3.113165e-05 3.529107e-05 2.778239e-05 3.061128e-05 #> [13547,] 2.504774e-05 2.475888e-05 2.649577e-05 2.894048e-05 2.823051e-05 #> [13548,] 2.375983e-05 2.458850e-05 2.694053e-05 3.207989e-05 3.262829e-05 #> [13549,] 2.247275e-05 2.399875e-05 2.321522e-05 2.582696e-05 2.571548e-05 #> [13550,] 9.914492e-05 1.211278e-04 1.687776e-04 1.758284e-04 1.973718e-04 #> [13551,] 2.520820e-05 3.028483e-05 3.301789e-05 2.789613e-05 3.170069e-05 #> [13552,] 2.043461e-04 2.160915e-05 2.730900e-05 2.270849e-05 2.569850e-05 #> [13553,] 5.323104e-05 5.566021e-05 5.738562e-05 5.091830e-05 4.433715e-05 #> [13554,] 2.683993e-04 3.266590e-04 4.601571e-04 5.392511e-04 5.857238e-04 #> [13555,] 3.033919e-04 3.366531e-04 3.575231e-04 2.590030e-04 2.961017e-04 #> [13556,] 2.097959e-04 2.813086e-04 2.544313e-04 3.408096e-04 4.362021e-04 #> [13557,] 2.854963e-05 2.902481e-05 4.346093e-05 4.299020e-05 4.524965e-05 #> [13558,] 3.180264e-05 3.181328e-05 3.436027e-05 3.659822e-05 3.829375e-05 #> [13559,] 2.164204e-05 2.156963e-05 2.261323e-05 2.260506e-05 2.163427e-05 #> [13560,] 2.660593e-05 2.419719e-05 2.350421e-05 2.735638e-05 2.614504e-05 #> [13561,] 2.197580e-05 2.229686e-05 2.175809e-05 2.536390e-05 2.646227e-05 #> [13562,] 2.448578e-05 2.492307e-05 2.565878e-05 2.864048e-05 2.889341e-05 #> [13563,] 2.572126e-05 2.667053e-05 2.724903e-05 2.881907e-05 3.003383e-05 #> [13564,] 2.430535e-05 2.394733e-05 2.600320e-05 2.805847e-05 2.648551e-05 #> [13565,] 2.227830e-05 2.113999e-05 2.242422e-05 2.202902e-05 2.192305e-05 #> [13566,] 1.104989e-04 8.453243e-05 9.303422e-05 9.035537e-05 7.376591e-05 #> [13567,] 7.210323e-04 6.259008e-04 5.525541e-04 4.367701e-04 4.410612e-04 #> [13568,] 7.655744e-05 4.498939e-05 6.191037e-05 5.777391e-05 4.442884e-05 #> [13569,] 1.678497e-04 2.368821e-04 6.663969e-05 6.526254e-05 7.895060e-05 #> [13570,] 2.660024e-05 3.476889e-05 4.261727e-05 3.957070e-05 3.705451e-05 #> [13571,] 1.235825e-04 7.832082e-05 1.165727e-04 1.043299e-04 5.652436e-05 #> [13572,] 2.649766e-05 2.660256e-05 2.842408e-05 3.139320e-05 2.966713e-05 #> [13573,] 2.706868e-05 2.742994e-05 2.980792e-05 3.049699e-05 3.158443e-05 #> [13574,] 4.223648e-05 3.848144e-05 5.757107e-05 8.523535e-05 8.131251e-05 #> [13575,] 9.262647e-05 1.126723e-04 2.311771e-04 1.999156e-04 2.034324e-04 #> [13576,] 5.214338e-05 3.800184e-05 4.065140e-05 5.143256e-05 7.576046e-05 #> [13577,] 2.926064e-05 2.768967e-05 4.199729e-05 4.052577e-05 3.375436e-05 #> [13578,] 2.735253e-05 2.723697e-05 3.658463e-05 3.186973e-05 2.902726e-05 #> [13579,] 1.099877e-04 1.670221e-04 4.020498e-04 3.956358e-04 6.404899e-04 #> [13580,] 3.086827e-05 2.686978e-05 3.032464e-05 2.968838e-05 2.994913e-05 #> [13581,] 4.292776e-05 4.016868e-05 3.620411e-05 4.651756e-05 5.084311e-05 #> [13582,] 2.249936e-05 2.236269e-05 2.108450e-05 2.244659e-05 2.223057e-05 #> [13583,] 7.416883e-05 8.006364e-05 1.299335e-04 1.346856e-04 1.000410e-04 #> [13584,] 2.575710e-05 2.706216e-05 4.622211e-05 6.586938e-05 6.989698e-05 #> [13585,] 5.862815e-05 6.361934e-05 7.180558e-05 7.455731e-05 7.115986e-05 #> [13586,] 2.465013e-05 2.476816e-05 2.925225e-05 3.103425e-05 2.923154e-05 #> [13587,] 2.578737e-05 2.499200e-05 2.794449e-05 2.878508e-05 2.720432e-05 #> [13588,] 2.704842e-05 2.575546e-05 2.300786e-05 2.709279e-05 2.654758e-05 #> [13589,] 2.608238e-05 2.419114e-05 2.364877e-05 2.728631e-05 2.571857e-05 #> [13590,] 2.529395e-05 2.570135e-05 2.709317e-05 2.838961e-05 2.715304e-05 #> [13591,] 2.428338e-05 2.313186e-05 2.703766e-05 2.810388e-05 3.029066e-05 #> [13592,] 2.736075e-05 3.934702e-05 3.735176e-05 9.108969e-05 1.978827e-04 #> [13593,] 2.622383e-05 2.751334e-05 3.334698e-05 3.076561e-05 3.852430e-05 #> [13594,] 2.501416e-05 2.517249e-05 2.532300e-05 2.725003e-05 2.895572e-05 #> [13595,] 2.636256e-05 2.772883e-05 3.995067e-05 3.620339e-05 3.113750e-05 #> [13596,] 6.493324e-05 5.832015e-05 6.561959e-05 6.575559e-05 9.784837e-05 #> [13597,] 2.331545e-05 2.233445e-05 2.353219e-05 2.581983e-05 2.851201e-05 #> [13598,] 2.466280e-05 2.453152e-05 2.563206e-05 2.740569e-05 3.099053e-05 #> [13599,] 2.470693e-05 2.612756e-05 2.872609e-05 2.885929e-05 2.958905e-05 #> [13600,] 3.907288e-04 3.002003e-04 2.118917e-04 1.800330e-04 2.609285e-04 #> [13601,] 5.016904e-05 4.711382e-05 6.332709e-05 5.633152e-05 4.285259e-05 #> [13602,] 4.985359e-05 4.985891e-05 6.766290e-05 9.320351e-05 7.138278e-05 #> [13603,] 2.635323e-05 2.824818e-05 3.067000e-05 3.181556e-05 3.183495e-05 #> [13604,] 8.449653e-05 7.233167e-05 4.820103e-05 4.885096e-05 5.583765e-05 #> [13605,] 2.610679e-05 2.818931e-05 3.181487e-05 3.406001e-05 3.451269e-05 #> [13606,] 2.733934e-05 2.564665e-05 2.984260e-05 2.978250e-05 2.931638e-05 #> [13607,] 2.560953e-05 2.252843e-05 2.452118e-05 2.751814e-05 2.893896e-05 #> [13608,] 2.445866e-04 2.562468e-04 2.426792e-04 2.619355e-04 2.973441e-04 #> [13609,] 4.088104e-04 3.957494e-04 1.025399e-04 6.807373e-05 6.465719e-05 #> [13610,] 3.103229e-05 3.037975e-05 3.339577e-05 3.811299e-05 4.349403e-05 #> [13611,] 3.374292e-05 3.408676e-05 4.756550e-05 4.910915e-05 4.395327e-05 #> [13612,] 2.071468e-05 2.028889e-05 2.207733e-05 2.149889e-05 2.072856e-05 #> [13613,] 2.380178e-05 2.540454e-05 2.764731e-05 2.768083e-05 3.091231e-05 #> [13614,] 2.376238e-05 2.799402e-05 2.772464e-05 2.819408e-05 2.931589e-05 #> [13615,] 3.792592e-05 3.330824e-05 3.555711e-05 4.681278e-05 4.083491e-05 #> [13616,] 2.312342e-05 2.348543e-05 2.504031e-05 2.523346e-05 2.618079e-05 #> [13617,] 2.732127e-05 2.312418e-05 2.706686e-05 3.127157e-05 3.425588e-05 #> [13618,] 2.564619e-05 2.813079e-05 2.570601e-05 2.627720e-05 2.645891e-05 #> [13619,] 2.484061e-05 2.521613e-05 2.901318e-05 2.960651e-05 2.960091e-05 #> [13620,] 3.097968e-05 3.169617e-05 5.307817e-05 5.428297e-05 6.512269e-05 #> [13621,] 3.375836e-05 3.114760e-05 3.471672e-05 3.657385e-05 3.425159e-05 #> [13622,] 4.897838e-05 3.789263e-05 4.475601e-05 4.933744e-05 4.599555e-05 #> [13623,] 2.980958e-05 3.464027e-05 3.841123e-05 3.419086e-05 3.295095e-05 #> [13624,] 4.715372e-05 4.942389e-05 3.182323e-05 3.360667e-05 3.756126e-05 #> [13625,] 3.529845e-05 4.132580e-05 3.495926e-05 3.742871e-05 3.961511e-05 #> [13626,] 7.337321e-05 7.161349e-05 8.263693e-05 9.197496e-05 9.170109e-05 #> [13627,] 2.395537e-05 2.376990e-05 2.266895e-05 2.433040e-05 2.516176e-05 #> [13628,] 1.135058e-04 8.179029e-05 6.518729e-05 8.254389e-05 9.163096e-05 #> [13629,] 4.407698e-05 3.394073e-05 3.705709e-05 4.957610e-05 4.075707e-05 #> [13630,] 5.513953e-05 4.582417e-05 7.001844e-05 6.606043e-05 8.856647e-05 #> [13631,] 2.183751e-05 2.188220e-05 2.266160e-05 2.245513e-05 2.259005e-05 #> [13632,] 3.468370e-05 4.634864e-05 6.050352e-05 5.645462e-05 4.733897e-05 #> [13633,] 2.823694e-05 2.993879e-05 3.336602e-05 3.331709e-05 3.372602e-05 #> [13634,] 1.468606e-04 8.115248e-05 1.466298e-04 1.836801e-04 1.146936e-04 #> [13635,] 3.598410e-05 5.550052e-05 1.996596e-04 2.110029e-04 2.436737e-04 #> [13636,] 6.283002e-05 5.170411e-05 4.103506e-05 4.815497e-05 5.155607e-05 #> [13637,] 2.297519e-05 2.470373e-05 2.716486e-05 2.834756e-05 2.978078e-05 #> [13638,] 2.633647e-05 2.629992e-05 2.501917e-05 2.883600e-05 2.855620e-05 #> [13639,] 4.880569e-04 6.500864e-04 7.981413e-04 6.434055e-04 7.388741e-04 #> [13640,] 2.731880e-05 2.712795e-05 3.145999e-05 3.214060e-05 3.140310e-05 #> [13641,] 3.495379e-05 4.049158e-05 6.031506e-05 5.453286e-05 4.344468e-05 #> [13642,] 2.460277e-05 2.513312e-05 2.292602e-05 2.336302e-05 2.281823e-05 #> [13643,] 2.268202e-05 2.280297e-05 2.409468e-05 2.563808e-05 2.699444e-05 #> [13644,] 3.126656e-05 3.452206e-05 2.960042e-05 2.922869e-05 2.957696e-05 #> [13645,] 3.155557e-05 2.726916e-05 2.565736e-05 2.324837e-05 2.926021e-05 #> [13646,] 2.427958e-05 2.417740e-05 2.470333e-05 2.907417e-05 3.259605e-05 #> [13647,] 3.193505e-05 3.573842e-05 4.215050e-05 4.136394e-05 6.208515e-05 #> [13648,] 2.964716e-05 2.762576e-05 2.700627e-05 2.959804e-05 2.749565e-05 #> [13649,] 6.814386e-04 3.643575e-04 3.573796e-04 4.195223e-04 1.823102e-04 #> [13650,] 3.770710e-05 3.505785e-05 4.804017e-05 4.055692e-05 4.036766e-05 #> [13651,] 7.531486e-05 1.410437e-04 1.185905e-04 1.198194e-04 1.485873e-04 #> [13652,] 3.034720e-05 4.187055e-05 3.748257e-05 3.385446e-05 3.397365e-05 #> [13653,] 2.593696e-05 2.605425e-05 3.134216e-05 3.043250e-05 3.314241e-05 #> [13654,] 2.756057e-05 3.208803e-05 3.153651e-05 2.911688e-05 3.019322e-05 #> [13655,] 3.295598e-05 4.694411e-05 8.416344e-05 9.742504e-05 1.025272e-04 #> [13656,] 1.827818e-04 1.693915e-04 1.271418e-04 1.217536e-04 1.264520e-04 #> [13657,] 4.621892e-05 4.953749e-05 8.248962e-05 9.716245e-05 7.636200e-05 #> [13658,] 6.802762e-05 6.729220e-05 1.314273e-04 1.341433e-04 1.024573e-04 #> [13659,] 5.247788e-04 1.305416e-03 1.231929e-03 3.173295e-04 2.336716e-03 #> [13660,] 2.326414e-05 2.352321e-05 2.591711e-05 2.710537e-05 2.887695e-05 #> [13661,] 1.010601e-04 6.561258e-05 3.756098e-05 3.652575e-05 3.190852e-05 #> [13662,] 9.660955e-05 1.042285e-04 4.624936e-05 4.596489e-05 3.602527e-05 #> [13663,] 1.343983e-04 1.679077e-04 2.205843e-04 2.474541e-04 1.677544e-04 #> [13664,] 2.269843e-04 2.111422e-04 3.523763e-04 3.418764e-04 1.635748e-04 #> [13665,] 2.551293e-05 2.557824e-05 2.947794e-05 3.138430e-05 2.959671e-05 #> [13666,] 2.676242e-05 2.828558e-05 2.815549e-05 2.722795e-05 3.394366e-05 #> [13667,] 2.631526e-05 2.932730e-05 3.764171e-05 3.613095e-05 4.640315e-05 #> [13668,] 2.104446e-05 2.091881e-05 2.176016e-05 2.213600e-05 2.183573e-05 #> [13669,] 9.696491e-04 8.730322e-04 6.297520e-04 4.537331e-04 3.163409e-04 #> [13670,] 2.495861e-05 2.521924e-05 2.613027e-05 2.889260e-05 3.132127e-05 #> [13671,] 2.207575e-05 2.233131e-05 2.356119e-05 2.486053e-05 2.358710e-05 #> [13672,] 3.510573e-05 4.241269e-05 4.109865e-05 3.913248e-05 3.384893e-05 #> [13673,] 2.946904e-05 2.936814e-05 2.868237e-05 3.044954e-05 2.890319e-05 #> [13674,] 9.040942e-05 5.343675e-05 4.248782e-05 4.566874e-05 4.668836e-05 #> [13675,] 2.489630e-05 2.523823e-05 2.499739e-05 2.420437e-05 2.430327e-05 #> [13676,] 2.714360e-05 2.683315e-05 2.650763e-05 2.747875e-05 2.613573e-05 #> [13677,] 2.670061e-05 2.833340e-05 3.061288e-05 3.148112e-05 3.014928e-05 #> [13678,] 3.396796e-05 3.544383e-05 3.467291e-05 3.324454e-05 3.238171e-05 #> [13679,] 2.605922e-05 2.516294e-05 2.549869e-05 2.825987e-05 2.917309e-05 #> [13680,] 2.919673e-05 2.946147e-05 2.808833e-05 3.116839e-05 3.089345e-05 #> [13681,] 2.392756e-05 2.528102e-05 2.893942e-05 3.016570e-05 3.252812e-05 #> [13682,] 1.543688e-04 1.461178e-04 1.929789e-04 1.591576e-04 1.341990e-04 #> [13683,] 4.262272e-05 4.065239e-05 1.009602e-04 8.695543e-05 6.745675e-05 #> [13684,] 1.461218e-04 1.139993e-04 9.498197e-05 1.014433e-04 9.605859e-05 #> [13685,] 2.410164e-05 2.598338e-05 3.460197e-05 3.032259e-05 3.218821e-05 #> [13686,] 6.179398e-05 4.165041e-05 4.621942e-05 4.956906e-05 4.633696e-05 #> [13687,] 1.205825e-04 7.041143e-05 9.771647e-05 8.448640e-05 6.783853e-05 #> [13688,] 2.652664e-05 3.004872e-05 3.123780e-05 2.848881e-05 3.170855e-05 #> [13689,] 2.164935e-05 2.250234e-05 2.401945e-05 2.362491e-05 2.462322e-05 #> [13690,] 2.020899e-03 1.942588e-03 1.636650e-03 2.040125e-03 1.933264e-03 #> [13691,] 2.381270e-05 2.619197e-05 2.502061e-05 2.519131e-05 2.663613e-05 #> [13692,] 9.529869e-05 1.455411e-04 9.125305e-05 8.385560e-05 9.430451e-05 #> [13693,] 2.629288e-05 3.424727e-05 3.479011e-05 3.530901e-05 3.236629e-05 #> [13694,] 3.168322e-05 3.158172e-05 5.210948e-05 5.253398e-05 4.572353e-05 #> [13695,] 4.961105e-05 3.920697e-05 3.002958e-05 3.079966e-05 3.093954e-05 #> [13696,] 2.778796e-05 2.849340e-05 3.298431e-05 3.610230e-05 3.985005e-05 #> [13697,] 2.613606e-05 2.781855e-05 3.054894e-05 3.348161e-05 3.105973e-05 #> [13698,] 2.162017e-03 2.091045e-03 2.400776e-03 2.019366e-03 1.730240e-03 #> [13699,] 2.760937e-05 3.239911e-05 2.921325e-05 3.057476e-05 3.535699e-05 #> [13700,] 2.581392e-05 2.738438e-05 3.010557e-05 3.050735e-05 3.001601e-05 #> [13701,] 3.708435e-04 2.245507e-04 1.894439e-04 1.026436e-04 3.028405e-04 #> [13702,] 8.138768e-05 1.241727e-04 9.467776e-05 6.561810e-05 6.664932e-05 #> [13703,] 1.326793e-04 1.157793e-04 3.580016e-04 6.116687e-04 4.482678e-04 #> [13704,] 2.600685e-05 2.542155e-05 2.785663e-05 3.105386e-05 3.171137e-05 #> [13705,] 2.642692e-05 2.723545e-05 2.787902e-05 3.665049e-05 4.255377e-05 #> [13706,] 2.467835e-05 2.728508e-05 2.993071e-05 3.101947e-05 3.475439e-05 #> [13707,] 2.562778e-05 2.917766e-05 3.283522e-05 2.958116e-05 3.046763e-05 #> [13708,] 3.283329e-05 2.815047e-05 2.890581e-05 4.463854e-05 4.266869e-05 #> [13709,] 2.719853e-05 2.715612e-05 2.863302e-05 2.908612e-05 2.967376e-05 #> [13710,] 2.745029e-05 2.810259e-05 2.850036e-05 2.811127e-05 2.814324e-05 #> [13711,] 6.388805e-05 6.227758e-05 4.543927e-05 5.711609e-05 6.096734e-05 #> [13712,] 2.818762e-05 3.533573e-05 2.511141e-05 2.248838e-05 2.345413e-05 #> [13713,] 1.156601e-04 1.913958e-04 1.505646e-04 1.401921e-04 8.041198e-05 #> [13714,] 7.969879e-05 7.931005e-05 5.063197e-05 5.383877e-05 5.191633e-05 #> [13715,] 4.192306e-05 5.021489e-05 3.704050e-05 3.700332e-05 4.191689e-05 #> [13716,] 2.402815e-05 2.702212e-05 2.567216e-05 2.539946e-05 2.729609e-05 #> [13717,] 3.196181e-05 3.312262e-05 3.657899e-05 3.657055e-05 3.709744e-05 #> [13718,] 2.743872e-05 2.797148e-05 2.974484e-05 3.304533e-05 3.128345e-05 #> [13719,] 2.877287e-05 2.713077e-05 2.777870e-05 2.962058e-05 2.888881e-05 #> [13720,] 2.158453e-05 2.160290e-05 2.339605e-05 2.298504e-05 2.248340e-05 #> [13721,] 2.687610e-05 2.703301e-05 2.841230e-05 3.113961e-05 3.640516e-05 #> [13722,] 2.352393e-05 2.622880e-05 2.506228e-05 2.494331e-05 2.600387e-05 #> [13723,] 2.840293e-05 3.048803e-05 3.407749e-05 3.270128e-05 3.200174e-05 #> [13724,] 1.071681e-04 1.249253e-04 1.657283e-04 1.444252e-04 1.127462e-04 #> [13725,] 2.832726e-05 2.958009e-05 2.519948e-05 2.670202e-05 3.467451e-05 #> [13726,] 2.521788e-05 2.588319e-05 2.927207e-05 3.012843e-05 3.033937e-05 #> [13727,] 2.580665e-05 2.637262e-05 2.451400e-05 2.804663e-05 2.675937e-05 #> [13728,] 4.286725e-05 4.716245e-05 9.020936e-05 1.023722e-04 9.064720e-05 #> [13729,] 5.723527e-05 6.092019e-05 4.355709e-05 4.211440e-05 3.118153e-05 #> [13730,] 2.608390e-05 2.530666e-05 2.840480e-05 2.874016e-05 2.722198e-05 #> [13731,] 2.477498e-05 2.602702e-05 2.312715e-05 2.505727e-05 2.540627e-05 #> [13732,] 4.868425e-04 4.056454e-04 5.265393e-04 3.978281e-04 3.822580e-04 #> [13733,] 5.309631e-05 4.458984e-05 5.068582e-05 4.750758e-05 4.127993e-05 #> [13734,] 2.372772e-05 2.198317e-05 2.371817e-05 2.387352e-05 2.595395e-05 #> [13735,] 2.571335e-05 2.758620e-05 3.062377e-05 2.963322e-05 3.290734e-05 #> [13736,] 2.544668e-05 2.547382e-05 2.344568e-05 2.538617e-05 2.944925e-05 #> [13737,] 2.935226e-05 2.974882e-05 2.678254e-05 2.795415e-05 2.700362e-05 #> [13738,] 3.834961e-05 4.049560e-05 3.403736e-05 3.360609e-05 3.584857e-05 #> [13739,] 6.606585e-05 1.285066e-04 1.371148e-04 8.387090e-05 5.770330e-05 #> [13740,] 2.555286e-05 2.451496e-05 2.308390e-05 2.368498e-05 2.525098e-05 #> [13741,] 2.548322e-05 2.762156e-05 2.820008e-05 2.866027e-05 2.746586e-05 #> [13742,] 1.169870e-04 8.961944e-05 7.819620e-05 7.175719e-05 5.004192e-05 #> [13743,] 2.351942e-05 2.248913e-05 2.373728e-05 2.488352e-05 2.494827e-05 #> [13744,] 3.816254e-05 3.319592e-05 4.033712e-05 4.277806e-05 4.586970e-05 #> [13745,] 3.695852e-05 3.663285e-05 3.307863e-05 3.466965e-05 3.702741e-05 #> [13746,] 2.678054e-05 2.636539e-05 2.843787e-05 3.137041e-05 2.857903e-05 #> [13747,] 2.163080e-03 1.869023e-03 1.860689e-03 1.561540e-03 1.373282e-03 #> [13748,] 2.601942e-05 3.723951e-05 7.262688e-05 7.075202e-05 6.871348e-05 #> [13749,] 3.741637e-05 4.328500e-05 6.239545e-05 5.590424e-05 6.687646e-05 #> [13750,] 2.415834e-05 4.175522e-05 4.962135e-05 3.536032e-05 4.574767e-05 #> [13751,] 2.415371e-05 2.354278e-05 2.668823e-05 2.788656e-05 3.051690e-05 #> [13752,] 3.812968e-04 4.467227e-04 4.047461e-04 3.077450e-04 2.565004e-04 #> [13753,] 2.912742e-05 3.587493e-05 3.843046e-05 3.707282e-05 3.877062e-05 #> [13754,] 9.392414e-05 1.090260e-04 1.012393e-04 8.889988e-05 9.078186e-05 #> [13755,] 8.581843e-05 5.420702e-05 5.846172e-05 6.533018e-05 7.440849e-05 #> [13756,] 2.508566e-05 2.840118e-05 2.966655e-05 3.195469e-05 3.386770e-05 #> [13757,] 2.432576e-05 2.390177e-05 2.701632e-05 2.955387e-05 2.704019e-05 #> [13758,] 4.869512e-05 4.780306e-05 4.551166e-05 3.356278e-05 3.111494e-05 #> [13759,] 2.689654e-05 2.851628e-05 2.965143e-05 2.722766e-05 2.855920e-05 #> [13760,] 2.376412e-05 2.276852e-05 2.571139e-05 2.824012e-05 3.222211e-05 #> [13761,] 2.356867e-05 2.394341e-05 2.765551e-05 2.713078e-05 2.991097e-05 #> [13762,] 2.140927e-05 2.227686e-05 2.340356e-05 2.321895e-05 2.219194e-05 #> [13763,] 2.612678e-05 3.123872e-05 3.687150e-05 2.974124e-05 3.174470e-05 #> [13764,] 2.172455e-05 2.173967e-05 2.109606e-05 2.162899e-05 2.275053e-05 #> [13765,] 2.464433e-05 2.762222e-05 3.038755e-05 2.857749e-05 2.813181e-05 #> [13766,] 3.250814e-04 2.962603e-04 2.269823e-04 2.688688e-04 3.616940e-04 #> [13767,] 2.430445e-05 2.404477e-05 2.598931e-05 3.009297e-05 2.919155e-05 #> [13768,] 2.297605e-05 2.321958e-05 2.443845e-05 2.358500e-05 2.469551e-05 #> [13769,] 2.477043e-05 2.509961e-05 3.242266e-05 3.443885e-05 3.546440e-05 #> [13770,] 2.673510e-05 2.635911e-05 2.870623e-05 3.024414e-05 3.111470e-05 #> [13771,] 3.673184e-05 3.908315e-05 3.568715e-05 3.552902e-05 4.371634e-05 #> [13772,] 2.640895e-05 2.430212e-05 2.491170e-05 2.969365e-05 3.036940e-05 #> [13773,] 2.477529e-05 2.663876e-05 2.776933e-05 2.731415e-05 2.712987e-05 #> [13774,] 4.144352e-05 4.550695e-05 3.689642e-05 4.202886e-05 4.139677e-05 #> [13775,] 2.658864e-05 2.843567e-05 2.758473e-05 2.714361e-05 2.942312e-05 #> [13776,] 3.246429e-05 2.973754e-05 2.871412e-05 3.154787e-05 3.265566e-05 #> [13777,] 4.697895e-05 5.346454e-05 3.874114e-05 3.493626e-05 3.363847e-05 #> [13778,] 2.837572e-05 2.526359e-05 2.686456e-05 2.990580e-05 2.858793e-05 #> [13779,] 2.868750e-05 2.697435e-05 3.273862e-05 3.272171e-05 3.318072e-05 #> [13780,] 2.919895e-05 2.935503e-05 3.736920e-05 3.428940e-05 3.127026e-05 #> [13781,] 4.291682e-05 5.350965e-05 4.564998e-05 4.618003e-05 4.132086e-05 #> [13782,] 3.937008e-05 3.235519e-05 3.660611e-05 3.912381e-05 3.739654e-05 #> [13783,] 2.659334e-05 3.025055e-05 2.842767e-05 2.826776e-05 3.040110e-05 #> [13784,] 2.531483e-05 2.713062e-05 2.713254e-05 3.102311e-05 3.012663e-05 #> [13785,] 2.551262e-05 2.639171e-05 2.466906e-05 2.653552e-05 2.781810e-05 #> [13786,] 2.709695e-05 2.584377e-05 2.669893e-05 2.356840e-05 2.283070e-05 #> [13787,] 2.301864e-05 2.378972e-05 2.666348e-05 3.098751e-05 2.985086e-05 #> [13788,] 5.971778e-05 7.221162e-05 5.410121e-05 6.393692e-05 1.255271e-04 #> [13789,] 8.845812e-05 7.755244e-05 7.195466e-05 7.666196e-05 6.659550e-05 #> [13790,] 2.398177e-05 2.500063e-05 2.655193e-05 2.526807e-05 2.478365e-05 #> [13791,] 3.367710e-05 3.599712e-05 3.747260e-05 3.389393e-05 2.919801e-05 #> [13792,] 2.542509e-05 2.629763e-05 3.488126e-05 3.391312e-05 3.195654e-05 #> [13793,] 9.011408e-05 6.559565e-05 5.156533e-05 5.604231e-05 5.074426e-05 #> [13794,] 2.690673e-05 2.601428e-05 2.686583e-05 2.956443e-05 2.784820e-05 #> [13795,] 3.019689e-05 2.740600e-05 2.738423e-05 2.743699e-05 2.804203e-05 #> [13796,] 2.354578e-04 1.512940e-04 1.355313e-04 1.454010e-04 1.485902e-04 #> [13797,] 1.993834e-03 1.429808e-03 6.244957e-04 4.658721e-04 5.150052e-04 #> [13798,] 2.308954e-05 2.299016e-05 2.548741e-05 2.620698e-05 2.500803e-05 #> [13799,] 2.863353e-05 2.969163e-05 3.053658e-05 3.216423e-05 3.429644e-05 #> [13800,] 2.572184e-05 2.989810e-05 4.721624e-05 4.219311e-05 3.805937e-05 #> [13801,] 2.461044e-04 4.449056e-04 5.293641e-04 2.950551e-04 2.105926e-04 #> [13802,] 7.974266e-05 1.156255e-04 1.091991e-04 1.240761e-04 1.500901e-04 #> [13803,] 2.902161e-05 2.689733e-05 2.890605e-05 3.320357e-05 3.474245e-05 #> [13804,] 1.090991e-04 1.999837e-04 1.953757e-04 2.364478e-04 2.256956e-04 #> [13805,] 2.255320e-05 2.258221e-05 2.175694e-05 2.185157e-05 2.280722e-05 #> [13806,] 2.691812e-05 3.555023e-05 1.057080e-04 1.012140e-04 8.255626e-05 #> [13807,] 2.802679e-05 2.879074e-05 3.048828e-05 2.784993e-05 3.096790e-05 #> [13808,] 2.306883e-05 2.367898e-05 3.046595e-05 3.437517e-05 3.066453e-05 #> [13809,] 3.094778e-05 3.519022e-05 9.290419e-05 8.163801e-05 6.002051e-05 #> [13810,] 2.519107e-05 2.727987e-05 2.789588e-05 2.923703e-05 2.977528e-05 #> [13811,] 2.737240e-05 2.848215e-05 2.990068e-05 3.173647e-05 3.116789e-05 #> [13812,] 2.251171e-05 2.179043e-05 2.280132e-05 2.540657e-05 2.777861e-05 #> [13813,] 1.764366e-03 1.830440e-03 1.657930e-03 1.585488e-03 1.461609e-03 #> [13814,] 2.097764e-05 2.010570e-05 2.027093e-05 2.206108e-05 2.236230e-05 #> [13815,] 8.407562e-05 5.497528e-05 6.448290e-05 6.819096e-05 6.279814e-05 #> [13816,] 4.165378e-05 3.259375e-05 2.880889e-05 2.793647e-05 2.976996e-05 #> [13817,] 2.454522e-05 2.574344e-05 2.526990e-05 2.585803e-05 2.570777e-05 #> [13818,] 2.861584e-05 2.649784e-05 3.359373e-05 3.692734e-05 3.056028e-05 #> [13819,] 2.452565e-05 2.428183e-05 2.605175e-05 2.996289e-05 2.765488e-05 #> [13820,] 7.921585e-05 9.252811e-05 1.585147e-04 1.491466e-04 1.687320e-04 #> [13821,] 2.607680e-05 2.846569e-05 3.192575e-05 3.124442e-05 3.132669e-05 #> [13822,] 8.137634e-04 4.357712e-04 1.577428e-04 1.860726e-04 1.274581e-04 #> [13823,] 3.718997e-05 4.191837e-05 3.643093e-05 3.775234e-05 3.611133e-05 #> [13824,] 6.966333e-05 6.458481e-05 5.864136e-05 6.543965e-05 6.197176e-05 #> [13825,] 5.583896e-05 5.952212e-05 8.685497e-05 8.501181e-05 5.184562e-05 #> [13826,] 2.702242e-05 2.929566e-05 3.027731e-05 2.934682e-05 2.798005e-05 #> [13827,] 2.147759e-05 2.204408e-05 2.186459e-05 2.208265e-05 2.364310e-05 #> [13828,] 1.414283e-04 1.651964e-04 1.179475e-04 1.642987e-04 1.968674e-04 #> [13829,] 2.448878e-05 2.277345e-05 2.242469e-05 2.516576e-05 2.794491e-05 #> [13830,] 5.647012e-04 8.056478e-04 8.997488e-04 8.091229e-04 5.682249e-04 #> [13831,] 2.519378e-05 2.459799e-05 2.560490e-05 2.526974e-05 2.509973e-05 #> [13832,] 7.091446e-05 8.287608e-05 8.042425e-05 8.735834e-05 8.064148e-05 #> [13833,] 2.571834e-05 2.739465e-05 2.606294e-05 2.695466e-05 2.719241e-05 #> [13834,] 9.207701e-05 5.505064e-05 4.826349e-05 5.272802e-05 5.521380e-05 #> [13835,] 2.639137e-05 2.560547e-05 3.142017e-05 3.099403e-05 3.205165e-05 #> [13836,] 2.771741e-05 3.005004e-05 2.996536e-05 2.855827e-05 3.181268e-05 #> [13837,] 4.947566e-05 5.324064e-05 3.695182e-05 3.318469e-05 3.290183e-05 #> [13838,] 2.482565e-05 2.593174e-05 3.078209e-05 3.086650e-05 3.111967e-05 #> [13839,] 2.514744e-05 2.508973e-05 3.895360e-05 3.647114e-05 4.328677e-05 #> [13840,] 3.254897e-05 3.556528e-05 3.650112e-05 3.701488e-05 3.916131e-05 #> [13841,] 3.158863e-05 3.857641e-05 3.792726e-05 3.646396e-05 3.680823e-05 #> [13842,] 2.313788e-05 2.398373e-05 2.453221e-05 2.490131e-05 2.431519e-05 #> [13843,] 2.678338e-05 2.939642e-05 3.110128e-05 3.090344e-05 2.935872e-05 #> [13844,] 1.113747e-04 7.353295e-05 1.826835e-04 1.981076e-04 9.736628e-05 #> [13845,] 3.067956e-05 3.372740e-05 3.471495e-05 3.361911e-05 3.402632e-05 #> [13846,] 2.195093e-05 2.355129e-05 2.501235e-05 2.302169e-05 2.450082e-05 #> [13847,] 2.599598e-05 2.637434e-05 2.706436e-05 3.010708e-05 3.283257e-05 #> [13848,] 3.512184e-05 2.771785e-05 3.504377e-05 3.465315e-05 3.277614e-05 #> [13849,] 2.490574e-05 2.516520e-05 2.721308e-05 2.690293e-05 2.879473e-05 #> [13850,] 3.450159e-05 4.097880e-05 3.342663e-05 4.152625e-05 4.192376e-05 #> [13851,] 8.871173e-05 8.202299e-05 7.079610e-05 5.645054e-05 6.083148e-05 #> [13852,] 1.164973e-04 1.618124e-04 7.594336e-05 6.645007e-05 7.163874e-05 #> [13853,] 2.568696e-05 2.770369e-05 3.199675e-05 3.273432e-05 3.356324e-05 #> [13854,] 2.914626e-05 2.945924e-05 2.873693e-05 2.882137e-05 2.965942e-05 #> [13855,] 3.328485e-05 3.593005e-05 7.654441e-05 7.166246e-05 6.867418e-05 #> [13856,] 2.465630e-05 2.446090e-05 2.741659e-05 3.248312e-05 3.703615e-05 #> [13857,] 2.251613e-05 2.315785e-05 2.264860e-05 2.318297e-05 2.470853e-05 #> [13858,] 2.641635e-05 2.683232e-05 3.047728e-05 3.513679e-05 3.961772e-05 #> [13859,] 4.088464e-04 2.813671e-04 2.859513e-04 3.933756e-04 3.589331e-04 #> [13860,] 2.824559e-05 2.655346e-05 2.832764e-05 3.129900e-05 3.000562e-05 #> [13861,] 2.543912e-05 2.490869e-05 2.374631e-05 2.694066e-05 2.751550e-05 #> [13862,] 2.914545e-05 2.699648e-05 3.010538e-05 3.109274e-05 3.070352e-05 #> [13863,] 2.222789e-05 2.064658e-05 2.332499e-05 2.473853e-05 2.445355e-05 #> [13864,] 2.866680e-05 3.069759e-05 3.065116e-05 3.025059e-05 3.326898e-05 #> [13865,] 2.511328e-05 2.524882e-05 2.376173e-05 2.507516e-05 2.467807e-05 #> [13866,] 2.636304e-05 2.508386e-05 2.461308e-05 2.847497e-05 4.818220e-05 #> [13867,] 3.139221e-05 2.942470e-05 3.118346e-05 3.422275e-05 3.308476e-05 #> [13868,] 2.939253e-05 2.965678e-05 3.121288e-05 3.311659e-05 3.241040e-05 #> [13869,] 1.146736e-04 1.515195e-04 9.873767e-05 1.004232e-04 8.433569e-05 #> [13870,] 2.760620e-05 2.463773e-05 2.653399e-05 3.140208e-05 3.072152e-05 #> [13871,] 2.345202e-05 2.341004e-05 2.617290e-05 2.785226e-05 2.966084e-05 #> [13872,] 1.118233e-04 1.263645e-04 1.384348e-04 1.340508e-04 1.320534e-04 #> [13873,] 2.175774e-05 2.228434e-05 2.466725e-05 2.517203e-05 2.452151e-05 #> [13874,] 2.278529e-05 2.302347e-05 2.709487e-05 2.997965e-05 3.280487e-05 #> [13875,] 2.276314e-05 2.187251e-05 2.251029e-05 2.221103e-05 2.297760e-05 #> [13876,] 2.253745e-05 2.416733e-05 2.391334e-05 2.522822e-05 2.621135e-05 #> [13877,] 2.632444e-05 2.489801e-05 2.537321e-05 2.719108e-05 2.689330e-05 #> [13878,] 2.474658e-05 2.647099e-05 2.538201e-05 2.717817e-05 2.606477e-05 #> [13879,] 9.763772e-05 8.544577e-05 1.264494e-04 1.405355e-04 1.482923e-04 #> [13880,] 4.307486e-05 4.481125e-05 4.219786e-05 4.235512e-05 6.936182e-05 #> [13881,] 4.403411e-05 4.409420e-05 3.361735e-05 3.529242e-05 3.312420e-05 #> [13882,] 2.605542e-05 2.539269e-05 2.572621e-05 2.925200e-05 2.735161e-05 #> [13883,] 2.395994e-05 2.638129e-05 2.421546e-05 2.441300e-05 2.660285e-05 #> [13884,] 3.565778e-05 3.752074e-05 9.961300e-05 1.413953e-04 1.716844e-04 #> [13885,] 2.274168e-05 2.396507e-05 2.187601e-05 2.477384e-05 2.495069e-05 #> [13886,] 2.291530e-05 2.220555e-05 2.331472e-05 2.345206e-05 2.247239e-05 #> [13887,] 5.872849e-05 4.925266e-05 5.859553e-05 8.753555e-05 6.957734e-05 #> [13888,] 4.929699e-05 5.143425e-05 7.203553e-05 7.381234e-05 5.473255e-05 #> [13889,] 3.119858e-04 2.661642e-04 1.984228e-04 1.599329e-04 1.728565e-04 #> [13890,] 3.621397e-05 5.964749e-05 5.264019e-05 4.688161e-05 4.294114e-05 #> [13891,] 2.154331e-05 2.151582e-05 2.298795e-05 2.294446e-05 2.320722e-05 #> [13892,] 3.318546e-05 3.824734e-05 4.901636e-05 4.755945e-05 4.376077e-05 #> [13893,] 2.460254e-05 2.320073e-05 2.455094e-05 2.846318e-05 2.759718e-05 #> [13894,] 2.504659e-05 2.532376e-05 2.493144e-05 2.283287e-05 2.273368e-05 #> [13895,] 2.256807e-05 2.234399e-05 2.409246e-05 2.590879e-05 2.672340e-05 #> [13896,] 8.414122e-05 1.086977e-04 1.240620e-04 1.586068e-04 1.289750e-04 #> [13897,] 2.643556e-05 2.777334e-05 2.652418e-05 2.882801e-05 2.816036e-05 #> [13898,] 3.039870e-05 3.494131e-05 6.288976e-05 1.498445e-04 1.717347e-04 #> [13899,] 3.390760e-05 3.388415e-05 2.799390e-05 2.943163e-05 3.021596e-05 #> [13900,] 2.478405e-05 2.518510e-05 2.893885e-05 2.934589e-05 3.294833e-05 #> [13901,] 1.058905e-04 2.186050e-04 6.931956e-04 5.048946e-04 4.335098e-04 #> [13902,] 2.201793e-05 2.118997e-05 2.166136e-05 2.442189e-05 2.480811e-05 #> [13903,] 3.676602e-05 3.250426e-05 6.199907e-05 1.019762e-04 4.479819e-05 #> [13904,] 1.503087e-04 1.697775e-04 9.206377e-05 9.696046e-05 9.084895e-05 #> [13905,] 2.524727e-05 3.055692e-05 3.313212e-05 3.417503e-05 3.182266e-05 #> [13906,] 2.272083e-05 2.062540e-05 2.241945e-05 2.424092e-05 2.603782e-05 #> [13907,] 2.668355e-05 2.770945e-05 3.057153e-05 3.334868e-05 3.924325e-05 #> [13908,] 3.737229e-05 3.769576e-05 4.009627e-05 4.035922e-05 4.066597e-05 #> [13909,] 4.272880e-05 4.215081e-05 5.398077e-05 6.655944e-05 4.626341e-05 #> [13910,] 7.042752e-05 6.865900e-05 3.129402e-05 2.982784e-05 2.832285e-05 #> [13911,] 1.173414e-04 9.770958e-05 6.016699e-05 6.586942e-05 5.882109e-05 #> [13912,] 3.769775e-05 5.587018e-05 6.930603e-05 5.138449e-05 3.990350e-05 #> [13913,] 2.391606e-05 2.551455e-05 2.552320e-05 2.592105e-05 2.533338e-05 #> [13914,] 2.552800e-05 2.692569e-05 4.653668e-05 5.364968e-05 7.356032e-05 #> [13915,] 2.649590e-05 3.186228e-05 4.456648e-05 4.446936e-05 4.278881e-05 #> [13916,] 4.776696e-04 3.072184e-04 1.666468e-04 1.474724e-04 1.268975e-04 #> [13917,] 3.915936e-05 4.321397e-05 3.895769e-05 4.012703e-05 4.588820e-05 #> [13918,] 2.882482e-05 3.483438e-05 6.222337e-05 5.479691e-05 7.939982e-05 #> [13919,] 2.488280e-05 2.548315e-05 2.694867e-05 2.836261e-05 2.877058e-05 #> [13920,] 2.503137e-05 2.900999e-05 3.327551e-05 2.835717e-05 2.956135e-05 #> [13921,] 1.042579e-04 1.139307e-04 2.257047e-04 1.776907e-04 1.453633e-04 #> [13922,] 2.842373e-05 2.668969e-05 4.626447e-05 5.048277e-05 4.410753e-05 #> [13923,] 3.991268e-04 2.253112e-04 2.189406e-04 2.328528e-04 1.768175e-04 #> [13924,] 5.383275e-05 5.504327e-05 8.043540e-05 9.428730e-05 8.073805e-05 #> [13925,] 2.724571e-05 2.819988e-05 3.664292e-05 4.632632e-05 4.147487e-05 #> [13926,] 2.621722e-05 2.584996e-05 3.173118e-05 2.868808e-05 3.071685e-05 #> [13927,] 2.321403e-05 2.293093e-05 2.244239e-05 2.291029e-05 2.322910e-05 #> [13928,] 2.017309e-05 2.081112e-05 2.187989e-05 2.157582e-05 2.171489e-05 #> [13929,] 3.378196e-05 2.477604e-05 3.412322e-05 3.272622e-05 2.877756e-05 #> [13930,] 5.305166e-05 4.163119e-05 3.662365e-05 3.432821e-05 3.554008e-05 #> [13931,] 2.429389e-05 2.564150e-05 2.501890e-05 2.504736e-05 2.437204e-05 #> [13932,] 8.811787e-05 2.368197e-05 2.421209e-05 2.479960e-05 2.708336e-05 #> [13933,] 5.216251e-05 2.726002e-05 2.686382e-05 3.214249e-05 3.638794e-05 #> [13934,] 2.672113e-05 2.752407e-05 2.757728e-05 2.787608e-05 2.839966e-05 #> [13935,] 2.326176e-05 2.385535e-05 2.326460e-05 2.508630e-05 2.659174e-05 #> [13936,] 4.942520e-05 4.853839e-05 7.967980e-05 5.911869e-05 5.739340e-05 #> [13937,] 8.503622e-05 1.007511e-04 1.057734e-04 1.167480e-04 1.215337e-04 #> [13938,] 2.388205e-05 2.676230e-05 3.124149e-05 2.620755e-05 3.118127e-05 #> [13939,] 2.156588e-05 2.031169e-05 2.171103e-05 2.408596e-05 2.355653e-05 #> [13940,] 2.786258e-05 2.887220e-05 2.898744e-05 2.888231e-05 3.035234e-05 #> [13941,] 2.332112e-04 3.770287e-04 3.149881e-04 2.174626e-04 2.386484e-04 #> [13942,] 3.436122e-05 3.029907e-05 2.947200e-05 3.088642e-05 3.626069e-05 #> [13943,] 8.733972e-05 8.896622e-05 5.943493e-05 7.131872e-05 7.042203e-05 #> [13944,] 2.445484e-05 2.522412e-05 2.365176e-05 2.565783e-05 2.558485e-05 #> [13945,] 2.590814e-05 2.684845e-05 6.167080e-05 5.206816e-05 4.367572e-05 #> [13946,] 6.156766e-05 4.624588e-05 6.015862e-05 5.411891e-05 5.388893e-05 #> [13947,] 1.565499e-04 9.300311e-05 8.294859e-05 7.243912e-05 5.648114e-05 #> [13948,] 3.855608e-05 4.046952e-05 3.140473e-05 3.272623e-05 3.591127e-05 #> [13949,] 3.688378e-05 4.140737e-05 6.759049e-05 6.046252e-05 6.093684e-05 #> [13950,] 2.126876e-04 3.496500e-04 7.060942e-05 8.089517e-05 8.501816e-05 #> [13951,] 2.284489e-05 2.460846e-05 2.665202e-05 2.713351e-05 2.832136e-05 #> [13952,] 2.631786e-05 2.872165e-05 3.151365e-05 2.751132e-05 3.022734e-05 #> [13953,] 4.343784e-05 6.503643e-05 3.964590e-05 3.152605e-05 3.289284e-05 #> [13954,] 3.095357e-05 3.048798e-05 3.350099e-05 3.241981e-05 3.236947e-05 #> [13955,] 2.872005e-05 2.879170e-05 4.438907e-05 4.727053e-05 5.128862e-05 #> [13956,] 7.487846e-05 4.831897e-05 6.942691e-05 7.228130e-05 6.911713e-05 #> [13957,] 2.166440e-05 2.430155e-05 2.462909e-05 2.429090e-05 2.582230e-05 #> [13958,] 3.401671e-05 3.627154e-05 3.186877e-05 3.262699e-05 3.173640e-05 #> [13959,] 2.646731e-05 2.852567e-05 2.776550e-05 3.093429e-05 3.826174e-05 #> [13960,] 2.639639e-05 2.545805e-05 2.617773e-05 3.152109e-05 3.346971e-05 #> [13961,] 2.385951e-05 2.476520e-05 2.913142e-05 3.179799e-05 3.154014e-05 #> [13962,] 2.374667e-05 2.324842e-05 2.665131e-05 3.025513e-05 2.816375e-05 #> [13963,] 5.652498e-05 7.833103e-05 4.893843e-05 5.790939e-05 8.969075e-05 #> [13964,] 2.683164e-05 3.302453e-05 2.660950e-05 2.711788e-05 2.816946e-05 #> [13965,] 2.873358e-05 2.950948e-05 3.992296e-05 4.210177e-05 3.501603e-05 #> [13966,] 3.633493e-05 3.346663e-05 2.640164e-05 1.969276e-04 1.784408e-04 #> [13967,] 2.481057e-05 2.491619e-05 2.461543e-05 2.801249e-05 2.814886e-05 #> [13968,] 1.204982e-04 1.150888e-04 4.509831e-05 4.544179e-05 4.340355e-05 #> [13969,] 2.781243e-05 2.750123e-05 3.270484e-05 3.370237e-05 3.608127e-05 #> [13970,] 2.565077e-05 2.591873e-05 2.734603e-05 2.995889e-05 2.990348e-05 #> [13971,] 3.398322e-05 3.924941e-05 3.736799e-05 3.844134e-05 4.132534e-05 #> [13972,] 2.373283e-05 2.369735e-05 2.297511e-05 2.577357e-05 2.573419e-05 #> [13973,] 2.344295e-05 2.261333e-05 2.187742e-05 2.422134e-05 2.465723e-05 #> [13974,] 5.463818e-05 7.278414e-05 6.751982e-05 7.151583e-05 7.069246e-05 #> [13975,] 2.612721e-05 2.534948e-05 2.785568e-05 2.958918e-05 3.052285e-05 #> [13976,] 1.624654e-04 1.503396e-04 2.213377e-04 2.104712e-04 3.402349e-04 #> [13977,] 2.972408e-05 3.623002e-05 3.516716e-05 3.538818e-05 3.789279e-05 #> [13978,] 3.420825e-05 3.105764e-05 3.166585e-05 3.802793e-05 4.025379e-05 #> [13979,] 2.797823e-05 2.762317e-05 2.795362e-05 2.921728e-05 3.425523e-05 #> [13980,] 3.075052e-04 2.376498e-04 1.250754e-04 1.580541e-04 1.038403e-04 #> [13981,] 8.710710e-04 3.910483e-04 1.601078e-04 1.836189e-04 1.316693e-04 #> [13982,] 3.807502e-04 1.665610e-04 1.399884e-04 1.880989e-04 1.800514e-04 #> [13983,] 2.464565e-05 2.639378e-05 2.847225e-05 2.775066e-05 2.993204e-05 #> [13984,] 2.518170e-05 2.871832e-05 3.220337e-05 3.465713e-05 3.467082e-05 #> [13985,] 1.490617e-04 1.100980e-04 1.460550e-04 1.897355e-04 2.188040e-04 #> [13986,] 2.677768e-05 2.583391e-05 2.751772e-05 2.909326e-05 3.228952e-05 #> [13987,] 3.277102e-05 3.567055e-05 6.720108e-05 7.260091e-05 5.150842e-05 #> [13988,] 3.094378e-05 2.763107e-05 2.874295e-05 3.097169e-05 2.909459e-05 #> [13989,] 3.738222e-05 3.933266e-05 4.280275e-05 4.247890e-05 3.635472e-05 #> [13990,] 2.606682e-05 2.607474e-05 2.730090e-05 2.877952e-05 3.107637e-05 #> [13991,] 1.043090e-04 9.142394e-05 9.310938e-05 9.099670e-05 8.368913e-05 #> [13992,] 1.133243e-04 1.275690e-04 4.414113e-05 3.610569e-05 4.926589e-05 #> [13993,] 1.449435e-04 1.469537e-04 2.835956e-04 2.740724e-04 2.338991e-04 #> [13994,] 2.755358e-05 2.706399e-05 3.126562e-05 3.239153e-05 3.083015e-05 #> [13995,] 2.750147e-05 2.890982e-05 3.336428e-05 3.240790e-05 3.176055e-05 #> [13996,] 2.427057e-05 2.451135e-05 2.627617e-05 2.746462e-05 2.783497e-05 #> [13997,] 2.785112e-05 2.731676e-05 2.828128e-05 2.942440e-05 3.073934e-05 #> [13998,] 3.105715e-05 3.350859e-05 3.393351e-05 3.211280e-05 3.401195e-05 #> [13999,] 2.727058e-05 2.650704e-05 3.093351e-05 3.239354e-05 3.010930e-05 #> [14000,] 4.204523e-05 5.285291e-05 6.423925e-05 6.181970e-05 5.155572e-05 #> [14001,] 4.910340e-05 6.627722e-05 8.294618e-05 7.833999e-05 4.896998e-05 #> [14002,] 2.918538e-05 3.171365e-05 3.257596e-05 4.494364e-05 5.257557e-05 #> [14003,] 3.341328e-05 3.737593e-05 5.235386e-05 4.556837e-05 3.356031e-05 #> [14004,] 3.252726e-05 3.054107e-05 5.002779e-05 4.684195e-05 5.009634e-05 #> [14005,] 2.519718e-05 2.493635e-05 2.680551e-05 2.828214e-05 3.065189e-05 #> [14006,] 3.537057e-05 3.787801e-05 5.703195e-05 5.818140e-05 4.211480e-05 #> [14007,] 2.104736e-05 1.926421e-05 2.137080e-05 2.284189e-05 2.146311e-05 #> [14008,] 5.139142e-05 1.100653e-04 3.281330e-04 2.212753e-04 3.433735e-04 #> [14009,] 2.396211e-05 2.425736e-05 2.662687e-05 2.771351e-05 2.950982e-05 #> [14010,] 2.563327e-05 2.661048e-05 2.914341e-05 2.978238e-05 2.991786e-05 #> [14011,] 7.166000e-05 7.210300e-05 4.503624e-05 4.898649e-05 7.051418e-05 #> [14012,] 2.716831e-05 2.897281e-05 3.104400e-05 3.308995e-05 3.032975e-05 #> [14013,] 2.478108e-05 2.198227e-05 2.070686e-05 2.199993e-05 2.280682e-05 #> [14014,] 2.429642e-05 2.611438e-05 3.424931e-05 3.552254e-05 4.053116e-05 #> [14015,] 2.387701e-05 2.445208e-05 2.776953e-05 2.763825e-05 2.930284e-05 #> [14016,] 2.604069e-05 2.538545e-05 2.697894e-05 2.883892e-05 2.767756e-05 #> [14017,] 4.865356e-05 3.689997e-05 3.993906e-05 3.870457e-05 3.212507e-05 #> [14018,] 2.828936e-05 3.304156e-05 5.430632e-05 4.979124e-05 3.972957e-05 #> [14019,] 2.195248e-05 2.311377e-05 2.253658e-05 2.243560e-05 2.368890e-05 #> [14020,] 6.427060e-05 4.893927e-05 6.677076e-05 6.924032e-05 5.916867e-05 #> [14021,] 2.568024e-05 2.863641e-05 2.495495e-05 2.530968e-05 2.658251e-05 #> [14022,] 2.636157e-05 2.724081e-05 2.982557e-05 2.811160e-05 2.991777e-05 #> [14023,] 6.494899e-05 5.819475e-05 7.842066e-05 6.963888e-05 6.021923e-05 #> [14024,] 2.881657e-05 2.603197e-05 2.870090e-05 3.085797e-05 2.915908e-05 #> [14025,] 2.820909e-05 2.672195e-05 2.855257e-05 3.019508e-05 3.115588e-05 #> [14026,] 7.507118e-04 1.001273e-03 6.498916e-04 3.817530e-04 5.689838e-04 #> [14027,] 1.107605e-03 1.129415e-03 3.450274e-04 9.731271e-04 1.095864e-03 #> [14028,] 4.891639e-05 4.895507e-05 4.336450e-05 4.597114e-05 4.721543e-05 #> [14029,] 2.619475e-05 2.751484e-05 2.996134e-05 2.913103e-05 3.099466e-05 #> [14030,] 2.841633e-05 3.488562e-05 3.012905e-05 2.950791e-05 3.048976e-05 #> [14031,] 1.421327e-04 1.999256e-04 2.014178e-04 1.544017e-04 2.179548e-04 #> [14032,] 3.382185e-05 3.658731e-05 4.899278e-05 4.952966e-05 4.691139e-05 #> [14033,] 2.012898e-04 1.058703e-04 5.754406e-05 5.889239e-05 3.900880e-05 #> [14034,] 2.935228e-05 2.665012e-05 2.893983e-05 3.155850e-05 2.997479e-05 #> [14035,] 1.748097e-04 1.320078e-04 2.570920e-04 2.387431e-04 1.478775e-04 #> [14036,] 2.049965e-05 2.009232e-05 2.165871e-05 2.235918e-05 2.166256e-05 #> [14037,] 2.418502e-05 2.574684e-05 2.774582e-05 3.248751e-05 3.541390e-05 #> [14038,] 3.101329e-05 3.157522e-05 2.987987e-05 3.422606e-05 3.159108e-05 #> [14039,] 2.283012e-05 2.690060e-05 2.904732e-05 2.906859e-05 3.223194e-05 #> [14040,] 2.757689e-04 2.097730e-04 1.671318e-04 1.519489e-04 9.615219e-05 #> [14041,] 2.328076e-05 2.494555e-05 2.540405e-05 2.467057e-05 2.582962e-05 #> [14042,] 2.736533e-05 2.469876e-05 2.689278e-05 3.023134e-05 3.075922e-05 #> [14043,] 4.441461e-05 4.130159e-05 5.627979e-05 5.946524e-05 4.565799e-05 #> [14044,] 3.049204e-05 4.178639e-05 4.455756e-05 4.178419e-05 3.952900e-05 #> [14045,] 1.219791e-04 1.287129e-04 1.101021e-04 1.110468e-04 1.327339e-04 #> [14046,] 2.623143e-05 2.489532e-05 2.558842e-05 2.970014e-05 3.033161e-05 #> [14047,] 5.910474e-05 7.806576e-05 1.035565e-04 1.070559e-04 7.102826e-05 #> [14048,] 2.735396e-05 2.742731e-05 2.780892e-05 3.087578e-05 3.011672e-05 #> [14049,] 2.277534e-05 2.384751e-05 2.561632e-05 2.922193e-05 3.200156e-05 #> [14050,] 2.733237e-05 2.583378e-05 2.783186e-05 2.689062e-05 2.719868e-05 #> [14051,] 2.718009e-05 4.101934e-05 3.416346e-05 5.169082e-05 1.567999e-04 #> [14052,] 3.156393e-05 3.900644e-05 3.574716e-05 3.276069e-05 2.821341e-05 #> [14053,] 2.892954e-04 3.198091e-04 3.590833e-04 5.142286e-04 7.810149e-04 #> [14054,] 2.831679e-04 3.817199e-04 2.491753e-04 2.178262e-04 1.325693e-04 #> [14055,] 2.306348e-05 2.470257e-05 2.402077e-05 2.521328e-05 2.631921e-05 #> [14056,] 3.898915e-05 4.577299e-05 3.574857e-05 4.096382e-05 5.060794e-05 #> [14057,] 2.161818e-05 2.070613e-05 2.282121e-05 2.211018e-05 2.171768e-05 #> [14058,] 1.111948e-04 8.720575e-05 8.933380e-05 1.048377e-04 9.553171e-05 #> [14059,] 2.681475e-05 2.740698e-05 2.962007e-05 3.228275e-05 3.247769e-05 #> [14060,] 9.332825e-05 6.596041e-05 6.636742e-05 7.177092e-05 4.680579e-05 #> [14061,] 1.351117e-03 1.048970e-03 1.730889e-03 9.390855e-04 3.337658e-04 #> [14062,] 1.927392e-04 1.016323e-04 3.457343e-05 4.616516e-05 3.563415e-05 #> [14063,] 2.221254e-05 2.125306e-05 2.327264e-05 2.396036e-05 2.448337e-05 #> [14064,] 2.396815e-05 2.209119e-05 2.377446e-05 2.515190e-05 2.653747e-05 #> [14065,] 2.429726e-05 2.560120e-05 2.653868e-05 2.834531e-05 3.044463e-05 #> [14066,] 2.828412e-05 2.739965e-05 3.144673e-05 2.903142e-05 3.107129e-05 #> [14067,] 3.155476e-04 2.980487e-04 1.812600e-04 1.746100e-04 1.913930e-04 #> [14068,] 2.939339e-05 2.666112e-05 2.922642e-05 3.014827e-05 3.070793e-05 #> [14069,] 2.928169e-05 3.122686e-05 4.665667e-05 5.018639e-05 5.141543e-05 #> [14070,] 2.504413e-05 2.397847e-05 3.023886e-05 3.482562e-05 3.947906e-05 #> [14071,] 2.895764e-05 3.089232e-05 3.275405e-05 4.010878e-05 5.156705e-05 #> [14072,] 2.556836e-05 2.477465e-05 2.810824e-05 2.635277e-05 2.727324e-05 #> [14073,] 2.759172e-05 2.359050e-05 2.627915e-05 2.888429e-05 2.906667e-05 #> [14074,] 1.421721e-04 1.594043e-04 1.277815e-04 2.058807e-04 3.348613e-04 #> [14075,] 2.683780e-05 2.705773e-05 2.987943e-05 2.947367e-05 3.008149e-05 #> [14076,] 3.332665e-05 3.748263e-05 4.477059e-05 3.315376e-05 2.823453e-05 #> [14077,] 5.148584e-05 6.756161e-05 6.812911e-05 7.522402e-05 1.013708e-04 #> [14078,] 2.198026e-05 2.090559e-05 2.249379e-05 2.202627e-05 2.450391e-05 #> [14079,] 3.034627e-05 3.054261e-05 2.793099e-05 2.815725e-05 2.901949e-05 #> [14080,] 2.293266e-05 2.299650e-05 2.536123e-05 2.373887e-05 2.606979e-05 #> [14081,] 2.550958e-05 2.530790e-05 2.893544e-05 3.013768e-05 2.922446e-05 #> [14082,] 3.276655e-05 3.464763e-05 4.015987e-05 3.667987e-05 3.715344e-05 #> [14083,] 1.434650e-03 1.543454e-03 1.320584e-03 1.509186e-03 1.531412e-03 #> [14084,] 2.432303e-05 2.424032e-05 2.526972e-05 2.537245e-05 2.643940e-05 #> [14085,] 2.900208e-05 2.945486e-05 4.105653e-05 4.077994e-05 3.757809e-05 #> [14086,] 2.832230e-05 2.654599e-05 2.643519e-05 2.872393e-05 2.748824e-05 #> [14087,] 5.037822e-05 1.096159e-04 1.745297e-04 1.768075e-04 2.893443e-04 #> [14088,] 5.746827e-05 6.044268e-05 4.940857e-05 4.926331e-05 6.288270e-05 #> [14089,] 8.947171e-05 5.144885e-05 5.439180e-05 5.234287e-05 3.105658e-05 #> [14090,] 3.359059e-05 2.662783e-05 3.011526e-05 3.152154e-05 3.422336e-05 #> [14091,] 3.325387e-04 3.482825e-04 3.372519e-04 2.833443e-04 2.465663e-04 #> [14092,] 2.436397e-05 2.335472e-05 2.590261e-05 2.968255e-05 3.026205e-05 #> [14093,] 5.010106e-05 5.172544e-05 5.421719e-05 6.307277e-05 5.777169e-05 #> [14094,] 5.534056e-05 5.140401e-05 4.670851e-05 5.175121e-05 5.906712e-05 #> [14095,] 2.757238e-05 2.934542e-05 3.046563e-05 2.909098e-05 3.182577e-05 #> [14096,] 2.572788e-05 2.768185e-05 3.007099e-05 2.889809e-05 3.054342e-05 #> [14097,] 2.396998e-05 2.295279e-05 2.331412e-05 2.301492e-05 2.599383e-05 #> [14098,] 3.513283e-05 3.799747e-05 4.247840e-05 4.180145e-05 3.792894e-05 #> [14099,] 2.552350e-05 2.871842e-05 2.964759e-05 2.864783e-05 2.919046e-05 #> [14100,] 2.186794e-05 2.195585e-05 2.356755e-05 2.593167e-05 2.648359e-05 #> [14101,] 8.965723e-04 5.885531e-04 2.816811e-04 3.750680e-04 3.882728e-04 #> [14102,] 2.408164e-05 2.508636e-05 2.670773e-05 2.975570e-05 2.973577e-05 #> [14103,] 2.796013e-05 3.189915e-05 3.733606e-05 3.470519e-05 3.576710e-05 #> [14104,] 2.354426e-05 2.162662e-05 2.321771e-05 2.390744e-05 2.713191e-05 #> [14105,] 2.813122e-05 3.123385e-05 3.122040e-05 2.958066e-05 3.238367e-05 #> [14106,] 5.673632e-05 4.939500e-05 3.904588e-05 4.694586e-05 5.100214e-05 #> [14107,] 2.929605e-05 2.929849e-05 2.674435e-05 2.978999e-05 3.200621e-05 #> [14108,] 1.591467e-04 1.495748e-04 7.744219e-05 9.753106e-05 9.524813e-05 #> [14109,] 3.663806e-05 3.240426e-05 4.472280e-05 4.204111e-05 4.161563e-05 #> [14110,] 2.703964e-05 2.511588e-05 2.732898e-05 2.794310e-05 3.205917e-05 #> [14111,] 4.124271e-05 2.822930e-05 3.214494e-05 3.266028e-05 3.107253e-05 #> [14112,] 3.739975e-05 4.591014e-05 5.997951e-05 5.332752e-05 4.131678e-05 #> [14113,] 2.599077e-05 2.948843e-05 2.835683e-05 2.576152e-05 2.921617e-05 #> [14114,] 2.423894e-05 2.465617e-05 2.518365e-05 2.547593e-05 2.522704e-05 #> [14115,] 2.820324e-05 2.841088e-05 3.102866e-05 3.032117e-05 3.068817e-05 #> [14116,] 2.591489e-05 2.676346e-05 2.976297e-05 3.118239e-05 2.946116e-05 #> [14117,] 2.957199e-05 3.529030e-05 3.987547e-05 3.971955e-05 3.864402e-05 #> [14118,] 4.155826e-04 7.253542e-04 1.337418e-03 9.376181e-04 7.709509e-04 #> [14119,] 1.123347e-04 1.086336e-04 2.131695e-04 3.085237e-04 1.781381e-04 #> [14120,] 2.421064e-05 2.693119e-05 3.248253e-05 3.403455e-05 3.470868e-05 #> [14121,] 1.020380e-03 8.715464e-04 8.830063e-04 1.005383e-03 8.174542e-04 #> [14122,] 1.712498e-04 1.894545e-04 2.123756e-04 1.300071e-04 1.294399e-04 #> [14123,] 3.097731e-05 3.082302e-05 2.826804e-05 3.260929e-05 3.412824e-05 #> [14124,] 3.133086e-05 3.129596e-05 4.316436e-05 4.144846e-05 3.541036e-05 #> [14125,] 2.780200e-05 2.755653e-05 2.932355e-05 3.367984e-05 3.751109e-05 #> [14126,] 2.660281e-05 2.850119e-05 2.898505e-05 2.846217e-05 3.023137e-05 #> [14127,] 2.263314e-05 2.243305e-05 2.456552e-05 2.371893e-05 2.539048e-05 #> [14128,] 4.915392e-05 5.292391e-05 5.959608e-05 7.324672e-05 1.108030e-04 #> [14129,] 3.170068e-05 2.754671e-05 3.190805e-05 3.482995e-05 3.232681e-05 #> [14130,] 2.108008e-05 2.154438e-05 2.507711e-05 2.534294e-05 2.391656e-05 #> [14131,] 2.604397e-05 2.686393e-05 2.687574e-05 2.657196e-05 2.877498e-05 #> [14132,] 3.134210e-05 3.477660e-05 2.995590e-05 3.194788e-05 3.436747e-05 #> [14133,] 8.497024e-05 4.152586e-05 3.890961e-05 4.587328e-05 3.749210e-05 #> [14134,] 2.259613e-05 2.190751e-05 2.143958e-05 2.173184e-05 2.377712e-05 #> [14135,] 2.895827e-05 3.074914e-05 2.785994e-05 2.905984e-05 3.146874e-05 #> [14136,] 6.786522e-05 6.215087e-05 6.209536e-05 5.379984e-05 4.191531e-05 #> [14137,] 4.697106e-05 5.003009e-05 4.112830e-05 4.277432e-05 4.375749e-05 #> [14138,] 2.259096e-05 2.147079e-05 2.253099e-05 2.515506e-05 2.571721e-05 #> [14139,] 2.458274e-05 2.568000e-05 2.869790e-05 2.974049e-05 3.080092e-05 #> [14140,] 4.287053e-05 3.088860e-05 5.022849e-05 5.235694e-05 3.643888e-05 #> [14141,] 3.158057e-05 3.304472e-05 4.907117e-05 5.770886e-05 5.710169e-05 #> [14142,] 2.987196e-05 2.933614e-05 3.220626e-05 3.376603e-05 3.400393e-05 #> [14143,] 2.541074e-05 2.865634e-05 3.169714e-05 3.221254e-05 3.158033e-05 #> [14144,] 6.983217e-05 1.321847e-04 1.144937e-04 1.720362e-04 2.326483e-04 #> [14145,] 2.661307e-05 2.651159e-05 3.163096e-05 3.022428e-05 2.978310e-05 #> [14146,] 2.363412e-05 2.503832e-05 2.459704e-05 2.730040e-05 2.770386e-05 #> [14147,] 6.214337e-05 1.065923e-04 1.799706e-04 1.499756e-04 8.869501e-05 #> [14148,] 2.847500e-05 2.779259e-05 2.846824e-05 3.183096e-05 3.135066e-05 #> [14149,] 2.423330e-05 2.544903e-05 2.465128e-05 2.639390e-05 2.706067e-05 #> [14150,] 5.907269e-05 8.066523e-05 5.799633e-05 6.600041e-05 6.427229e-05 #> [14151,] 3.833263e-05 3.550831e-05 3.392991e-05 3.616034e-05 3.578474e-05 #> [14152,] 2.609353e-05 2.340528e-05 2.549790e-05 2.984102e-05 3.170546e-05 #> [14153,] 2.671159e-05 2.765175e-05 3.453036e-05 3.346530e-05 3.117277e-05 #> [14154,] 2.302302e-05 2.343927e-05 2.301506e-05 2.587519e-05 2.454208e-05 #> [14155,] 2.689612e-05 2.862419e-05 2.870278e-05 3.154801e-05 2.983240e-05 #> [14156,] 2.232004e-05 2.160980e-05 2.250353e-05 2.150445e-05 2.314786e-05 #> [14157,] 2.938872e-05 3.218311e-05 3.102580e-05 3.089974e-05 3.908412e-05 #> [14158,] 4.597054e-05 5.290428e-05 5.237298e-05 4.976835e-05 5.200211e-05 #> [14159,] 2.982400e-04 5.151227e-04 4.075454e-04 5.564253e-04 6.078099e-04 #> [14160,] 2.838171e-05 2.593830e-05 3.059732e-05 3.157241e-05 3.202420e-05 #> [14161,] 1.182226e-04 1.492226e-04 1.008328e-04 1.121797e-04 1.122487e-04 #> [14162,] 3.154413e-04 3.373662e-04 2.919156e-04 3.362818e-04 2.683034e-04 #> [14163,] 9.695266e-05 5.980321e-05 4.759446e-05 5.941779e-05 6.170249e-05 #> [14164,] 2.375388e-05 2.363749e-05 2.299436e-05 2.387819e-05 2.447272e-05 #> [14165,] 2.083720e-05 2.090797e-05 2.306185e-05 2.120855e-05 2.156933e-05 #> [14166,] 1.580613e-04 1.714074e-04 3.531006e-04 3.507937e-04 3.199753e-04 #> [14167,] 2.478358e-05 2.547518e-05 2.647484e-05 2.799699e-05 3.102350e-05 #> [14168,] 2.385997e-05 2.636953e-05 2.826186e-05 2.659447e-05 2.954890e-05 #> [14169,] 2.472704e-05 2.626000e-05 3.018497e-05 2.770390e-05 2.873030e-05 #> [14170,] 3.008811e-05 3.413516e-05 3.270557e-05 3.680334e-05 3.802926e-05 #> [14171,] 4.959227e-05 4.006662e-05 3.320650e-05 3.555497e-05 4.445592e-05 #> [14172,] 3.005147e-05 3.202965e-05 5.085516e-05 4.403658e-05 3.179777e-05 #> [14173,] 2.447313e-05 2.453384e-05 2.934394e-05 3.031098e-05 3.192549e-05 #> [14174,] 3.108898e-05 2.747879e-05 2.635585e-05 2.633841e-05 2.619577e-05 #> [14175,] 3.494450e-05 3.359190e-05 3.760735e-05 4.432272e-05 3.835357e-05 #> [14176,] 6.036439e-05 7.029538e-05 1.355811e-04 1.190346e-04 7.994017e-05 #> [14177,] 2.708465e-05 2.653452e-05 2.505085e-05 3.001023e-05 2.873583e-05 #> [14178,] 3.813369e-05 4.042044e-05 5.011718e-05 4.304966e-05 4.083063e-05 #> [14179,] 2.659035e-05 2.690041e-05 3.076408e-05 3.017255e-05 3.018197e-05 #> [14180,] 2.156723e-04 2.376690e-04 4.390303e-04 3.984832e-04 2.792182e-04 #> [14181,] 4.597515e-05 7.090132e-05 1.662374e-04 1.736141e-04 1.321501e-04 #> [14182,] 7.313035e-05 6.836213e-05 3.154361e-05 3.122211e-05 3.032026e-05 #> [14183,] 2.361989e-05 2.313040e-05 2.651861e-05 2.811518e-05 3.000000e-05 #> [14184,] 7.361959e-05 7.876644e-05 7.963218e-05 5.684634e-05 5.898198e-05 #> [14185,] 5.914105e-05 4.936780e-05 4.609064e-05 4.038880e-05 3.905257e-05 #> [14186,] 2.322026e-05 2.482248e-05 2.603941e-05 2.693663e-05 2.681989e-05 #> [14187,] 3.444423e-05 5.577906e-05 7.269507e-05 7.382186e-05 1.010637e-04 #> [14188,] 2.340242e-05 2.273487e-05 2.343672e-05 2.510117e-05 2.636235e-05 #> [14189,] 2.685350e-05 2.980220e-05 2.962106e-05 2.965009e-05 3.074356e-05 #> [14190,] 2.128353e-05 1.989931e-05 2.132587e-05 2.183283e-05 2.202630e-05 #> [14191,] 2.773240e-05 2.645732e-05 2.812655e-05 2.950772e-05 3.109294e-05 #> [14192,] 6.621802e-05 9.534577e-05 7.708899e-05 6.569076e-05 6.204665e-05 #> [14193,] 6.462674e-05 1.072394e-04 4.935149e-05 4.744187e-05 4.122721e-05 #> [14194,] 2.528892e-05 2.872980e-05 3.840046e-05 3.819689e-05 2.673809e-05 #> [14195,] 2.669827e-05 2.662267e-05 2.584051e-05 2.534270e-05 2.596947e-05 #> [14196,] 2.886454e-05 2.859476e-05 2.775062e-05 2.843168e-05 2.819768e-05 #> [14197,] 2.170745e-05 2.079670e-05 2.184196e-05 2.254129e-05 2.119845e-05 #> [14198,] 1.546301e-04 2.887992e-04 5.697837e-05 7.856916e-05 8.263916e-05 #> [14199,] 3.687215e-05 3.445680e-05 2.833694e-05 3.139602e-05 3.427800e-05 #> [14200,] 2.495109e-05 2.493381e-05 2.605916e-05 2.693908e-05 2.504870e-05 #> [14201,] 2.631807e-05 2.958982e-05 2.814103e-05 2.658172e-05 2.918225e-05 #> [14202,] 5.163021e-05 7.891398e-05 3.276050e-05 3.188181e-05 2.972989e-05 #> [14203,] 3.834760e-05 3.928099e-05 6.824938e-05 7.001538e-05 6.121613e-05 #> [14204,] 2.599760e-05 2.683791e-05 2.889860e-05 3.054858e-05 2.994467e-05 #> [14205,] 1.097341e-04 9.564589e-05 7.936463e-05 1.146948e-04 8.338067e-05 #> [14206,] 2.703347e-05 2.849947e-05 3.152324e-05 3.331524e-05 2.993844e-05 #> [14207,] 2.209888e-05 2.670763e-05 2.552112e-05 2.422284e-05 2.478594e-05 #> [14208,] 6.773637e-05 8.999127e-05 6.635426e-05 6.540173e-05 6.972746e-05 #> [14209,] 2.379602e-05 2.358807e-05 2.540398e-05 2.544347e-05 2.711066e-05 #> [14210,] 2.518698e-05 2.254229e-05 2.390146e-05 2.870960e-05 2.775876e-05 #> [14211,] 2.797122e-05 2.870361e-05 2.846379e-05 3.200340e-05 3.282884e-05 #> [14212,] 6.028214e-05 4.608544e-05 4.795506e-05 4.937784e-05 4.677453e-05 #> [14213,] 2.613683e-05 2.642627e-05 2.717783e-05 2.887001e-05 2.752277e-05 #> [14214,] 2.625545e-05 2.648387e-05 2.894277e-05 3.031691e-05 2.917074e-05 #> [14215,] 3.762412e-05 3.984044e-05 4.815434e-05 4.680539e-05 5.864901e-05 #> [14216,] 3.998354e-05 4.160179e-05 2.938020e-05 2.940335e-05 3.257476e-05 #> [14217,] 2.321250e-05 2.210344e-05 2.449546e-05 2.745060e-05 2.798223e-05 #> [14218,] 6.695098e-05 7.148324e-05 7.665957e-05 9.326231e-05 7.360831e-05 #> [14219,] 3.440292e-05 3.684897e-05 3.640077e-05 3.513789e-05 3.628082e-05 #> [14220,] 4.048139e-05 3.567610e-05 4.201050e-05 4.873399e-05 5.140072e-05 #> [14221,] 2.487778e-05 2.467360e-05 2.544271e-05 3.048175e-05 3.072115e-05 #> [14222,] 2.779156e-05 2.532941e-05 2.793342e-05 2.803887e-05 3.044659e-05 #> [14223,] 7.675173e-05 3.723142e-05 3.686068e-05 3.667689e-05 3.657972e-05 #> [14224,] 5.482917e-05 4.593611e-05 4.697533e-05 4.672682e-05 4.525187e-05 #> [14225,] 5.148331e-05 6.302070e-05 1.087990e-04 8.794532e-05 7.124741e-05 #> [14226,] 7.608177e-04 4.638100e-04 3.766041e-04 3.945037e-04 3.185549e-04 #> [14227,] 2.601900e-05 2.685503e-05 2.571734e-05 2.767228e-05 2.900114e-05 #> [14228,] 2.378996e-05 2.371754e-05 2.596638e-05 3.105578e-05 2.992268e-05 #> [14229,] 1.045461e-04 1.452517e-04 7.843825e-05 7.301144e-05 7.318193e-05 #> [14230,] 3.046777e-05 2.818269e-05 3.541070e-05 2.998412e-05 3.869759e-05 #> [14231,] 2.483033e-05 2.876902e-05 3.118376e-05 2.721626e-05 3.111110e-05 #> [14232,] 2.313390e-05 2.675406e-05 3.050676e-05 3.522586e-05 4.325323e-05 #> [14233,] 2.835525e-05 3.130241e-05 3.116624e-05 2.787142e-05 3.075352e-05 #> [14234,] 2.364867e-05 2.495323e-05 2.305373e-05 2.313738e-05 2.344552e-05 #> [14235,] 2.350116e-05 2.359326e-05 2.349387e-05 2.517254e-05 2.596727e-05 #> [14236,] 4.504498e-05 3.795178e-05 4.687370e-05 6.610668e-05 5.897048e-05 #> [14237,] 5.132671e-05 8.292192e-05 7.909353e-05 5.982310e-05 5.142380e-05 #> [14238,] 3.932260e-05 3.740018e-05 2.952936e-05 3.083112e-05 3.308822e-05 #> [14239,] 2.887826e-05 2.714676e-05 2.776436e-05 3.046461e-05 3.182976e-05 #> [14240,] 2.639960e-05 2.652879e-05 2.711519e-05 2.790729e-05 2.925279e-05 #> [14241,] 2.045358e-05 2.062816e-05 2.143289e-05 2.066389e-05 2.187628e-05 #> [14242,] 2.366044e-05 2.462990e-05 2.512407e-05 2.640503e-05 2.551231e-05 #> [14243,] 2.741769e-05 3.035360e-05 3.157696e-05 2.924416e-05 3.201460e-05 #> [14244,] 3.937192e-05 4.812995e-05 3.769725e-05 4.107210e-05 4.373587e-05 #> [14245,] 3.019394e-05 3.400904e-05 4.519526e-05 4.617820e-05 4.526244e-05 #> [14246,] 2.162690e-05 2.036901e-05 2.295567e-05 2.452996e-05 2.593104e-05 #> [14247,] 2.470490e-05 2.430264e-05 2.497222e-05 2.924634e-05 3.141785e-05 #> [14248,] 1.309885e-04 1.473406e-04 1.143102e-04 9.459407e-05 8.909117e-05 #> [14249,] 2.410274e-05 2.590145e-05 2.415019e-05 2.343493e-05 2.462326e-05 #> [14250,] 2.303516e-05 2.430151e-05 2.642932e-05 2.897593e-05 2.808832e-05 #> [14251,] 2.247875e-05 2.427346e-05 2.588831e-05 2.523006e-05 2.624662e-05 #> [14252,] 2.547329e-04 2.633624e-04 3.682315e-04 3.508473e-04 3.509097e-04 #> [14253,] 2.741245e-05 4.122548e-05 3.112779e-05 2.790433e-05 3.453437e-05 #> [14254,] 2.697580e-05 3.031574e-05 4.817409e-05 4.245323e-05 4.287744e-05 #> [14255,] 2.644732e-05 2.631063e-05 2.619175e-05 2.861807e-05 2.744771e-05 #> [14256,] 2.556975e-05 2.327859e-05 2.350762e-05 2.379692e-05 2.511627e-05 #> [14257,] 2.721754e-05 2.932502e-05 2.660956e-05 2.828304e-05 3.090362e-05 #> [14258,] 7.955437e-05 6.549816e-05 7.387306e-05 9.595477e-05 7.757884e-05 #> [14259,] 4.166166e-05 3.960197e-05 3.764069e-05 4.097536e-05 4.788895e-05 #> [14260,] 3.764914e-05 3.622456e-05 5.021709e-05 6.873168e-05 5.939129e-05 #> [14261,] 7.365861e-05 7.448725e-05 7.162713e-05 5.080078e-05 3.751007e-05 #> [14262,] 6.426257e-05 7.378817e-05 4.805733e-05 6.072550e-05 8.780064e-05 #> [14263,] 3.599838e-05 3.082347e-05 4.028681e-05 4.336037e-05 3.085090e-05 #> [14264,] 2.902552e-05 3.073781e-05 3.137418e-05 3.526444e-05 3.054954e-05 #> [14265,] 3.574062e-05 4.559350e-05 4.741403e-05 4.313523e-05 3.686392e-05 #> [14266,] 2.675809e-05 2.645222e-05 2.753965e-05 3.074470e-05 3.290763e-05 #> [14267,] 2.827318e-05 2.587886e-05 2.710732e-05 2.846897e-05 3.168823e-05 #> [14268,] 6.713590e-05 8.006041e-05 8.182602e-05 6.832673e-05 3.900985e-05 #> [14269,] 2.762142e-05 2.874913e-05 3.675285e-05 3.338588e-05 3.307422e-05 #> [14270,] 2.496026e-05 2.765974e-05 2.923707e-05 2.499316e-05 2.486987e-05 #> [14271,] 5.962992e-05 7.983765e-05 1.072758e-04 1.120600e-04 1.016644e-04 #> [14272,] 2.927631e-05 2.681757e-05 2.855454e-05 3.013227e-05 3.114342e-05 #> [14273,] 2.609568e-05 2.480274e-05 2.607337e-05 3.161953e-05 2.894845e-05 #> [14274,] 4.091174e-05 5.768221e-05 3.420794e-05 3.226159e-05 4.154047e-05 #> [14275,] 4.530130e-05 5.336547e-05 3.391716e-05 3.072849e-05 3.517022e-05 #> [14276,] 5.017052e-05 3.964838e-05 5.323653e-05 5.030583e-05 4.719402e-05 #> [14277,] 1.212585e-04 2.287999e-04 1.951530e-04 1.666445e-04 2.416443e-04 #> [14278,] 2.468069e-04 2.009604e-04 9.415377e-05 8.248814e-05 1.056165e-04 #> [14279,] 2.568015e-05 2.564578e-05 2.907679e-05 3.068990e-05 2.940413e-05 #> [14280,] 2.538061e-05 2.550979e-05 2.817903e-05 2.867044e-05 3.234478e-05 #> [14281,] 1.232277e-04 1.929279e-04 1.887236e-04 2.047975e-04 1.709327e-04 #> [14282,] 2.350003e-05 2.343418e-05 2.466541e-05 2.917506e-05 3.072195e-05 #> [14283,] 2.971476e-04 1.523310e-04 1.852786e-04 1.763405e-04 1.329919e-04 #> [14284,] 2.911413e-05 2.773808e-05 2.383556e-05 2.823510e-05 2.901107e-05 #> [14285,] 2.598720e-05 2.505836e-05 2.484545e-05 2.586625e-05 2.555739e-05 #>                  [,6]         [,7] #>     [1,] 1.685284e-05 2.684331e-05 #>     [2,] 1.950712e-05 1.695727e-05 #>     [3,] 1.535178e-05 1.415911e-05 #>     [4,] 2.254055e-05 1.362810e-05 #>     [5,] 1.172208e-03 1.229886e-04 #>     [6,] 1.523026e-05 1.254409e-05 #>     [7,] 2.220638e-05 2.321336e-05 #>     [8,] 1.172178e-05 1.160491e-05 #>     [9,] 1.222395e-05 1.567721e-05 #>    [10,] 2.526683e-05 2.132621e-05 #>    [11,] 1.388978e-05 1.300063e-05 #>    [12,] 1.460063e-05 1.345748e-05 #>    [13,] 2.943070e-05 2.409531e-05 #>    [14,] 1.043120e-05 9.791759e-06 #>    [15,] 1.324136e-05 1.232444e-05 #>    [16,] 1.676364e-05 1.662702e-05 #>    [17,] 1.194343e-05 1.121710e-05 #>    [18,] 2.303250e-05 2.724898e-04 #>    [19,] 2.261294e-05 2.144119e-05 #>    [20,] 3.232124e-05 2.932376e-05 #>    [21,] 1.648154e-05 1.321687e-05 #>    [22,] 1.470831e-05 1.441455e-05 #>    [23,] 3.449293e-05 3.394741e-05 #>    [24,] 2.002047e-04 1.294928e-04 #>    [25,] 3.002183e-05 1.343587e-04 #>    [26,] 1.092635e-05 1.147799e-05 #>    [27,] 1.237413e-05 1.403538e-05 #>    [28,] 1.248194e-05 1.210968e-05 #>    [29,] 3.550312e-05 7.747966e-05 #>    [30,] 1.789662e-05 1.635631e-05 #>    [31,] 1.100150e-05 1.011588e-05 #>    [32,] 3.435633e-05 1.945064e-05 #>    [33,] 1.665748e-05 1.350177e-05 #>    [34,] 2.764061e-05 1.722070e-05 #>    [35,] 1.677997e-05 1.426083e-05 #>    [36,] 1.943611e-05 1.896515e-05 #>    [37,] 1.193720e-04 1.726976e-04 #>    [38,] 1.994022e-05 1.739628e-05 #>    [39,] 1.631096e-05 1.566538e-05 #>    [40,] 1.443553e-05 1.474866e-05 #>    [41,] 1.753779e-05 1.387088e-05 #>    [42,] 1.409942e-05 1.198010e-05 #>    [43,] 3.000013e-05 2.937959e-05 #>    [44,] 1.057820e-05 9.655186e-06 #>    [45,] 3.134273e-05 2.275440e-05 #>    [46,] 1.414199e-05 1.245067e-05 #>    [47,] 1.196733e-05 1.151794e-05 #>    [48,] 1.140186e-05 1.364520e-05 #>    [49,] 1.769450e-05 1.883880e-05 #>    [50,] 1.478101e-05 1.227511e-05 #>    [51,] 5.375310e-05 6.196931e-05 #>    [52,] 1.260675e-05 2.055707e-05 #>    [53,] 1.722519e-05 1.488723e-05 #>    [54,] 1.571055e-05 1.242218e-05 #>    [55,] 5.675800e-05 6.757544e-05 #>    [56,] 1.153751e-05 2.248166e-05 #>    [57,] 4.906181e-05 3.838651e-05 #>    [58,] 1.421839e-05 1.321920e-05 #>    [59,] 2.294200e-05 1.871255e-05 #>    [60,] 1.207574e-05 1.495630e-05 #>    [61,] 2.026756e-05 1.384147e-05 #>    [62,] 1.640393e-05 1.514437e-05 #>    [63,] 3.402865e-04 2.088472e-04 #>    [64,] 1.595192e-05 1.311517e-05 #>    [65,] 2.279483e-05 2.054349e-05 #>    [66,] 1.851043e-05 1.427824e-05 #>    [67,] 1.012190e-05 9.938892e-06 #>    [68,] 2.962443e-05 1.300816e-05 #>    [69,] 2.524147e-04 2.223401e-04 #>    [70,] 9.811038e-04 5.077653e-04 #>    [71,] 1.702682e-05 1.351100e-05 #>    [72,] 3.297516e-05 1.530231e-05 #>    [73,] 3.764309e-05 1.656192e-05 #>    [74,] 4.290567e-05 3.488115e-05 #>    [75,] 3.284430e-05 4.878134e-05 #>    [76,] 1.845703e-05 1.945577e-05 #>    [77,] 2.638049e-05 4.368144e-05 #>    [78,] 1.500968e-05 1.187039e-05 #>    [79,] 1.983391e-05 1.217196e-05 #>    [80,] 1.463719e-05 1.157235e-05 #>    [81,] 1.722575e-05 1.338206e-05 #>    [82,] 1.520378e-05 1.385061e-05 #>    [83,] 1.181267e-05 1.160162e-05 #>    [84,] 3.280364e-05 1.118973e-04 #>    [85,] 2.115725e-05 1.518784e-05 #>    [86,] 1.186015e-05 1.145928e-05 #>    [87,] 1.287105e-05 1.205624e-05 #>    [88,] 2.506241e-05 1.893516e-05 #>    [89,] 1.997832e-05 1.353896e-05 #>    [90,] 1.796709e-04 7.328270e-05 #>    [91,] 1.111382e-05 1.119228e-05 #>    [92,] 4.295706e-05 5.349675e-05 #>    [93,] 2.124620e-05 3.028360e-05 #>    [94,] 1.133703e-05 1.045120e-05 #>    [95,] 2.356591e-05 1.753934e-05 #>    [96,] 1.908716e-05 3.601674e-05 #>    [97,] 2.593094e-05 1.600488e-05 #>    [98,] 1.928656e-05 1.432036e-05 #>    [99,] 7.120258e-05 3.778272e-05 #>   [100,] 1.909456e-05 2.958511e-05 #>   [101,] 2.854847e-05 5.092886e-05 #>   [102,] 1.755955e-05 1.750522e-05 #>   [103,] 4.669235e-05 3.143731e-05 #>   [104,] 1.136264e-05 1.091986e-05 #>   [105,] 1.513267e-05 1.214524e-05 #>   [106,] 6.992975e-05 3.756721e-05 #>   [107,] 1.874813e-05 1.423554e-05 #>   [108,] 3.017720e-05 2.662047e-05 #>   [109,] 1.312474e-05 1.109345e-05 #>   [110,] 3.490516e-05 1.966845e-05 #>   [111,] 2.041658e-05 9.775336e-06 #>   [112,] 1.413517e-05 1.411691e-05 #>   [113,] 1.559731e-05 1.326290e-05 #>   [114,] 6.237721e-05 2.832440e-05 #>   [115,] 1.980091e-05 1.523201e-05 #>   [116,] 1.149105e-05 1.227379e-05 #>   [117,] 1.573424e-05 1.356862e-05 #>   [118,] 6.111274e-05 8.272443e-05 #>   [119,] 1.177035e-05 1.352637e-05 #>   [120,] 1.552537e-05 1.284034e-05 #>   [121,] 1.468142e-05 1.332829e-05 #>   [122,] 1.774373e-05 2.396530e-05 #>   [123,] 1.587249e-05 1.365222e-05 #>   [124,] 1.649276e-05 1.449283e-05 #>   [125,] 1.194378e-05 1.132221e-05 #>   [126,] 1.413499e-05 1.211399e-05 #>   [127,] 2.558316e-05 2.331399e-05 #>   [128,] 3.964126e-05 3.033488e-05 #>   [129,] 1.361205e-05 1.114208e-05 #>   [130,] 2.352327e-05 1.601037e-05 #>   [131,] 3.480485e-05 2.592827e-05 #>   [132,] 7.203439e-04 2.429434e-04 #>   [133,] 3.629362e-05 7.495474e-05 #>   [134,] 1.985022e-05 1.580704e-05 #>   [135,] 7.520080e-05 5.953021e-05 #>   [136,] 2.256293e-05 1.959542e-05 #>   [137,] 1.673028e-05 1.672661e-05 #>   [138,] 2.074815e-05 2.377190e-05 #>   [139,] 1.402025e-04 2.625723e-05 #>   [140,] 1.322891e-05 1.012735e-05 #>   [141,] 5.573020e-04 1.104580e-04 #>   [142,] 3.652048e-05 2.056861e-05 #>   [143,] 1.833537e-05 4.878616e-05 #>   [144,] 1.124548e-05 1.168737e-05 #>   [145,] 1.623753e-05 1.567670e-05 #>   [146,] 1.284550e-05 1.132393e-05 #>   [147,] 1.819943e-05 1.525692e-05 #>   [148,] 1.464714e-05 1.643191e-05 #>   [149,] 2.540948e-05 2.113897e-05 #>   [150,] 2.948204e-05 1.412661e-05 #>   [151,] 2.182644e-05 1.396534e-05 #>   [152,] 6.192477e-05 6.362565e-05 #>   [153,] 1.606144e-05 1.212395e-05 #>   [154,] 1.913861e-05 1.939503e-05 #>   [155,] 1.513837e-05 1.425519e-05 #>   [156,] 1.594975e-05 1.372158e-05 #>   [157,] 1.984523e-05 1.358148e-05 #>   [158,] 1.707569e-05 3.487790e-05 #>   [159,] 1.920849e-05 1.672904e-05 #>   [160,] 3.843356e-05 1.447169e-05 #>   [161,] 1.565148e-05 1.365678e-05 #>   [162,] 1.367010e-05 1.280742e-05 #>   [163,] 4.311448e-05 2.462199e-05 #>   [164,] 6.933548e-05 5.844245e-05 #>   [165,] 2.579810e-05 1.664196e-05 #>   [166,] 1.869411e-05 2.607365e-05 #>   [167,] 1.920996e-05 2.531757e-05 #>   [168,] 2.667941e-05 2.594105e-05 #>   [169,] 4.587882e-05 1.404796e-05 #>   [170,] 1.383882e-05 1.179620e-05 #>   [171,] 1.413263e-05 1.208035e-05 #>   [172,] 1.292559e-05 1.068378e-05 #>   [173,] 2.024559e-05 1.565006e-05 #>   [174,] 1.460715e-05 1.169897e-05 #>   [175,] 1.441458e-05 1.215713e-05 #>   [176,] 1.153059e-04 9.459454e-04 #>   [177,] 1.084707e-05 9.722633e-06 #>   [178,] 2.313812e-05 7.058903e-05 #>   [179,] 2.858155e-05 2.842977e-05 #>   [180,] 1.887525e-05 1.307916e-05 #>   [181,] 1.509130e-05 1.370608e-05 #>   [182,] 2.141014e-05 1.380787e-05 #>   [183,] 1.329531e-05 1.154842e-05 #>   [184,] 1.541791e-05 1.313420e-05 #>   [185,] 1.934200e-05 1.827856e-05 #>   [186,] 2.244576e-05 1.459189e-05 #>   [187,] 1.102681e-05 1.175135e-05 #>   [188,] 1.693876e-05 1.338186e-05 #>   [189,] 2.182141e-05 1.388133e-05 #>   [190,] 1.391205e-05 1.493367e-05 #>   [191,] 2.976618e-05 1.486408e-05 #>   [192,] 2.064506e-04 6.274875e-05 #>   [193,] 1.698323e-05 1.332175e-05 #>   [194,] 1.508862e-05 1.282837e-05 #>   [195,] 5.055210e-05 5.511148e-05 #>   [196,] 1.872348e-05 1.392279e-05 #>   [197,] 1.327389e-05 1.106937e-05 #>   [198,] 1.397130e-05 1.269355e-05 #>   [199,] 2.281839e-05 2.327880e-05 #>   [200,] 1.949176e-05 1.559804e-05 #>   [201,] 2.980985e-05 2.062110e-05 #>   [202,] 3.378825e-05 1.326532e-04 #>   [203,] 1.601453e-05 1.357248e-05 #>   [204,] 2.162969e-05 3.431149e-05 #>   [205,] 1.824942e-05 2.023233e-05 #>   [206,] 2.003901e-05 1.602177e-05 #>   [207,] 1.570953e-05 1.299073e-05 #>   [208,] 1.570751e-05 1.342728e-05 #>   [209,] 1.304849e-05 1.120218e-05 #>   [210,] 1.484171e-05 1.177158e-05 #>   [211,] 2.304062e-05 1.508613e-05 #>   [212,] 1.086036e-05 1.057450e-05 #>   [213,] 2.448262e-05 5.765453e-05 #>   [214,] 4.483573e-05 3.974785e-05 #>   [215,] 3.840510e-05 2.028227e-05 #>   [216,] 1.581624e-05 1.430556e-05 #>   [217,] 2.478200e-05 1.329767e-05 #>   [218,] 2.727922e-05 1.719720e-05 #>   [219,] 4.458209e-05 5.373402e-05 #>   [220,] 5.017296e-05 2.346658e-05 #>   [221,] 1.292014e-05 1.153788e-05 #>   [222,] 3.403802e-05 6.064205e-05 #>   [223,] 1.465477e-05 2.846949e-05 #>   [224,] 1.896148e-05 1.452495e-05 #>   [225,] 3.303420e-04 4.358001e-05 #>   [226,] 4.104347e-05 4.156608e-05 #>   [227,] 1.457559e-05 1.159311e-05 #>   [228,] 1.817069e-05 1.542249e-05 #>   [229,] 4.169902e-05 3.285850e-05 #>   [230,] 3.569930e-05 3.389418e-05 #>   [231,] 1.861554e-05 1.681164e-05 #>   [232,] 1.174195e-05 1.132575e-05 #>   [233,] 1.629602e-05 1.311603e-05 #>   [234,] 1.450183e-05 1.195177e-05 #>   [235,] 2.210017e-05 1.357762e-05 #>   [236,] 1.900294e-05 1.479393e-05 #>   [237,] 2.426682e-05 1.362256e-05 #>   [238,] 3.904329e-05 2.878204e-05 #>   [239,] 2.143661e-05 1.304654e-05 #>   [240,] 2.086757e-05 1.612041e-05 #>   [241,] 1.912810e-05 1.550455e-05 #>   [242,] 1.301314e-05 1.262535e-05 #>   [243,] 2.165081e-05 1.580311e-05 #>   [244,] 3.061838e-05 1.861005e-05 #>   [245,] 1.527730e-05 1.879816e-05 #>   [246,] 1.288354e-05 1.252672e-05 #>   [247,] 1.369171e-05 1.179933e-05 #>   [248,] 1.551585e-05 1.209405e-05 #>   [249,] 1.464566e-05 1.336822e-05 #>   [250,] 3.977201e-04 4.026723e-04 #>   [251,] 1.795151e-04 4.562674e-05 #>   [252,] 1.383995e-05 1.148108e-05 #>   [253,] 1.792727e-05 1.650418e-05 #>   [254,] 1.702176e-04 3.189148e-05 #>   [255,] 2.567615e-05 1.254350e-05 #>   [256,] 1.486915e-05 1.237329e-05 #>   [257,] 2.100430e-05 3.951570e-05 #>   [258,] 1.885493e-05 1.391336e-05 #>   [259,] 2.788882e-05 2.373890e-05 #>   [260,] 1.374569e-05 1.782405e-05 #>   [261,] 2.258443e-05 1.732278e-05 #>   [262,] 2.064595e-05 1.635558e-05 #>   [263,] 2.241658e-05 1.694457e-05 #>   [264,] 3.195576e-05 3.410205e-05 #>   [265,] 1.679423e-05 1.342688e-05 #>   [266,] 1.903405e-05 3.276113e-05 #>   [267,] 8.965346e-05 1.004465e-03 #>   [268,] 8.878785e-05 9.059536e-05 #>   [269,] 1.511184e-05 1.316492e-05 #>   [270,] 1.747817e-05 1.449830e-05 #>   [271,] 1.405040e-05 1.570726e-05 #>   [272,] 1.497137e-05 1.307094e-05 #>   [273,] 3.894081e-04 1.679674e-04 #>   [274,] 9.390820e-05 3.000815e-05 #>   [275,] 3.225601e-05 3.371937e-05 #>   [276,] 1.394175e-05 1.331630e-05 #>   [277,] 5.089081e-05 2.378378e-05 #>   [278,] 1.196585e-04 7.559484e-05 #>   [279,] 1.405710e-05 1.457455e-05 #>   [280,] 2.615088e-05 4.369703e-05 #>   [281,] 1.507238e-05 1.263703e-05 #>   [282,] 5.049489e-05 6.861237e-05 #>   [283,] 1.880992e-05 2.867848e-05 #>   [284,] 1.167143e-05 1.168400e-05 #>   [285,] 1.749119e-05 1.382130e-05 #>   [286,] 1.838486e-05 1.302117e-05 #>   [287,] 1.521611e-05 1.341962e-05 #>   [288,] 2.254257e-05 1.675657e-05 #>   [289,] 1.436330e-05 1.621333e-05 #>   [290,] 3.052470e-05 3.148515e-05 #>   [291,] 7.123792e-05 4.170011e-05 #>   [292,] 1.192106e-05 1.133532e-05 #>   [293,] 1.281046e-05 1.410907e-05 #>   [294,] 1.455831e-05 1.358313e-05 #>   [295,] 1.545215e-05 1.550783e-05 #>   [296,] 3.248624e-05 2.055536e-05 #>   [297,] 2.155218e-05 1.440066e-05 #>   [298,] 2.088081e-05 1.474528e-05 #>   [299,] 1.030259e-05 9.587529e-06 #>   [300,] 1.329214e-05 1.261491e-05 #>   [301,] 8.875266e-04 4.257296e-04 #>   [302,] 1.039307e-05 1.008854e-05 #>   [303,] 1.778347e-05 1.850587e-05 #>   [304,] 2.802738e-05 1.775149e-05 #>   [305,] 1.530537e-05 1.191586e-05 #>   [306,] 1.666525e-05 1.487111e-05 #>   [307,] 8.630164e-05 5.393042e-05 #>   [308,] 1.269776e-04 1.140819e-04 #>   [309,] 1.880513e-05 1.824731e-05 #>   [310,] 8.257089e-05 1.175329e-04 #>   [311,] 6.958111e-04 1.074625e-03 #>   [312,] 1.741602e-05 1.724492e-05 #>   [313,] 1.567350e-05 1.595617e-05 #>   [314,] 2.373705e-04 3.433351e-05 #>   [315,] 1.493912e-05 1.378691e-05 #>   [316,] 2.449048e-05 1.462215e-05 #>   [317,] 2.320071e-05 1.675687e-05 #>   [318,] 1.505365e-05 1.235958e-05 #>   [319,] 2.602249e-05 1.860783e-05 #>   [320,] 2.297017e-05 1.984783e-05 #>   [321,] 1.945937e-05 1.722227e-05 #>   [322,] 1.747483e-05 1.720045e-05 #>   [323,] 1.338468e-05 1.235367e-05 #>   [324,] 6.067259e-05 3.730291e-05 #>   [325,] 2.290378e-05 1.686626e-05 #>   [326,] 1.051625e-05 1.075435e-05 #>   [327,] 1.617185e-05 1.648541e-05 #>   [328,] 1.412220e-05 1.276719e-05 #>   [329,] 1.030228e-04 5.742278e-05 #>   [330,] 2.900620e-05 3.192511e-05 #>   [331,] 9.235670e-05 4.117703e-05 #>   [332,] 1.837755e-05 1.332624e-05 #>   [333,] 1.084608e-04 5.646803e-05 #>   [334,] 1.466432e-05 1.098633e-05 #>   [335,] 1.970679e-05 1.721117e-05 #>   [336,] 1.555906e-05 1.477776e-05 #>   [337,] 4.696777e-05 2.568919e-05 #>   [338,] 2.331099e-05 2.002679e-05 #>   [339,] 1.393180e-05 1.225704e-05 #>   [340,] 2.069385e-05 1.716749e-05 #>   [341,] 1.547036e-05 1.344027e-05 #>   [342,] 1.987375e-05 1.508241e-05 #>   [343,] 1.882032e-05 1.336667e-05 #>   [344,] 3.485277e-05 3.078449e-05 #>   [345,] 1.585525e-05 1.871869e-05 #>   [346,] 1.766924e-05 1.555354e-05 #>   [347,] 1.961759e-05 1.979634e-05 #>   [348,] 1.390129e-05 1.280034e-05 #>   [349,] 1.086436e-05 1.045003e-05 #>   [350,] 1.512148e-05 2.226577e-05 #>   [351,] 6.680569e-04 3.896225e-04 #>   [352,] 1.204450e-05 1.170924e-05 #>   [353,] 1.660952e-05 1.783234e-05 #>   [354,] 3.085469e-05 1.256645e-05 #>   [355,] 1.718740e-05 2.494867e-05 #>   [356,] 1.609288e-05 1.568725e-05 #>   [357,] 1.001294e-03 5.314300e-04 #>   [358,] 1.397330e-05 1.097993e-05 #>   [359,] 3.086247e-05 2.884904e-05 #>   [360,] 3.665297e-05 1.792940e-05 #>   [361,] 1.082861e-04 1.930304e-04 #>   [362,] 2.402828e-05 1.743141e-05 #>   [363,] 1.589272e-05 1.440846e-05 #>   [364,] 2.506476e-05 1.440583e-05 #>   [365,] 1.354683e-05 1.200470e-05 #>   [366,] 2.844581e-05 1.833325e-05 #>   [367,] 2.030358e-05 1.812874e-05 #>   [368,] 2.683734e-05 1.492917e-05 #>   [369,] 1.157416e-05 1.079884e-05 #>   [370,] 1.766835e-05 2.193197e-05 #>   [371,] 1.594346e-05 1.435796e-05 #>   [372,] 2.151466e-05 1.474398e-05 #>   [373,] 1.158348e-05 1.106576e-05 #>   [374,] 2.071267e-05 1.281091e-05 #>   [375,] 1.631671e-05 1.457742e-05 #>   [376,] 8.520612e-05 2.035322e-05 #>   [377,] 1.405117e-05 2.032760e-05 #>   [378,] 2.100059e-05 1.194713e-05 #>   [379,] 1.640522e-05 9.922701e-06 #>   [380,] 1.653948e-05 1.527813e-05 #>   [381,] 1.566729e-05 1.352061e-05 #>   [382,] 3.082665e-05 1.845760e-05 #>   [383,] 1.737955e-05 1.622503e-05 #>   [384,] 1.242426e-05 1.154571e-05 #>   [385,] 1.225751e-05 1.100238e-05 #>   [386,] 1.379213e-05 1.305709e-05 #>   [387,] 1.406471e-05 1.260128e-05 #>   [388,] 2.672068e-05 6.522284e-05 #>   [389,] 3.939137e-05 2.107642e-05 #>   [390,] 1.792672e-05 1.473180e-05 #>   [391,] 2.521098e-05 1.572295e-05 #>   [392,] 1.577196e-05 1.312930e-05 #>   [393,] 1.852023e-05 1.640102e-05 #>   [394,] 1.349608e-05 1.256697e-05 #>   [395,] 2.435283e-05 1.775618e-05 #>   [396,] 1.593311e-05 2.444482e-05 #>   [397,] 1.098621e-04 2.295005e-05 #>   [398,] 2.485988e-05 1.314386e-05 #>   [399,] 2.008909e-05 1.434256e-05 #>   [400,] 2.304340e-05 1.429250e-05 #>   [401,] 3.009836e-05 1.465585e-05 #>   [402,] 1.645640e-05 1.450756e-05 #>   [403,] 6.626681e-05 2.106021e-05 #>   [404,] 1.480520e-05 1.390656e-05 #>   [405,] 2.990577e-05 3.293811e-05 #>   [406,] 1.246433e-05 1.173238e-05 #>   [407,] 2.469193e-05 2.044841e-05 #>   [408,] 1.676170e-05 1.451392e-05 #>   [409,] 1.772164e-05 1.435784e-05 #>   [410,] 1.339134e-05 1.196436e-05 #>   [411,] 6.418285e-04 9.549966e-05 #>   [412,] 3.228491e-05 2.642123e-05 #>   [413,] 1.667338e-05 1.352779e-05 #>   [414,] 1.373781e-05 1.102678e-05 #>   [415,] 1.457866e-05 1.233372e-05 #>   [416,] 7.158546e-05 3.839897e-05 #>   [417,] 1.398543e-05 1.227855e-05 #>   [418,] 2.024049e-05 2.140536e-05 #>   [419,] 3.537224e-05 6.380439e-05 #>   [420,] 1.136588e-05 1.135390e-05 #>   [421,] 1.468732e-05 1.374271e-05 #>   [422,] 1.781874e-05 2.741766e-05 #>   [423,] 1.458417e-05 5.962243e-05 #>   [424,] 1.734907e-05 1.260367e-05 #>   [425,] 1.315918e-05 1.225912e-05 #>   [426,] 1.742585e-05 1.416627e-05 #>   [427,] 1.434635e-05 1.330158e-05 #>   [428,] 1.607096e-05 1.407581e-05 #>   [429,] 1.249169e-04 1.904865e-04 #>   [430,] 5.320822e-05 2.517412e-05 #>   [431,] 4.461680e-05 4.151610e-05 #>   [432,] 4.058309e-05 3.379345e-05 #>   [433,] 1.529255e-05 1.372110e-05 #>   [434,] 9.796195e-05 4.631102e-05 #>   [435,] 9.439417e-05 5.523787e-05 #>   [436,] 3.513395e-05 2.268800e-05 #>   [437,] 2.005932e-05 1.611216e-05 #>   [438,] 9.380695e-05 2.276306e-05 #>   [439,] 3.734123e-05 2.683279e-05 #>   [440,] 2.209053e-04 3.216911e-04 #>   [441,] 4.215521e-05 2.574612e-05 #>   [442,] 2.414164e-05 1.650102e-05 #>   [443,] 1.300361e-05 1.192684e-05 #>   [444,] 1.667650e-05 1.369420e-05 #>   [445,] 1.210066e-05 1.078822e-05 #>   [446,] 3.747962e-05 1.347024e-04 #>   [447,] 8.832082e-05 1.604238e-05 #>   [448,] 7.640466e-05 3.749727e-05 #>   [449,] 1.723048e-05 1.458515e-05 #>   [450,] 2.824785e-05 2.044169e-05 #>   [451,] 4.262460e-05 1.309171e-05 #>   [452,] 1.739574e-05 9.922014e-05 #>   [453,] 1.731793e-05 2.393728e-05 #>   [454,] 1.211040e-05 1.171083e-05 #>   [455,] 2.950819e-05 1.533693e-05 #>   [456,] 1.989134e-05 1.460147e-05 #>   [457,] 7.362312e-05 1.244044e-04 #>   [458,] 8.034271e-04 1.022200e-04 #>   [459,] 1.573347e-05 2.030719e-05 #>   [460,] 1.497246e-05 1.378244e-05 #>   [461,] 2.083920e-04 4.800720e-04 #>   [462,] 1.006948e-05 1.032729e-05 #>   [463,] 1.323937e-05 1.118711e-05 #>   [464,] 1.386307e-05 1.189168e-05 #>   [465,] 2.137420e-05 1.353681e-05 #>   [466,] 1.438434e-05 1.560071e-05 #>   [467,] 2.396719e-05 2.161185e-05 #>   [468,] 3.287517e-05 3.395241e-05 #>   [469,] 1.798543e-05 1.444210e-05 #>   [470,] 5.101032e-05 4.104705e-05 #>   [471,] 1.375998e-05 1.150278e-05 #>   [472,] 2.059235e-05 3.691201e-05 #>   [473,] 3.541714e-05 8.353639e-05 #>   [474,] 1.599261e-05 1.460456e-05 #>   [475,] 1.699527e-05 1.245653e-05 #>   [476,] 1.333962e-05 1.142113e-05 #>   [477,] 1.358289e-05 1.306642e-05 #>   [478,] 1.574462e-05 1.470309e-05 #>   [479,] 1.862697e-05 3.659699e-05 #>   [480,] 3.479004e-05 4.865863e-05 #>   [481,] 1.747507e-05 1.850455e-05 #>   [482,] 3.767978e-05 1.787531e-05 #>   [483,] 2.310178e-05 1.695300e-05 #>   [484,] 1.303941e-05 1.174540e-05 #>   [485,] 1.620982e-05 1.278275e-05 #>   [486,] 2.072838e-05 2.127518e-05 #>   [487,] 2.761424e-05 8.169953e-05 #>   [488,] 1.298387e-05 1.357883e-05 #>   [489,] 2.296751e-05 3.149592e-05 #>   [490,] 2.066753e-05 1.963085e-05 #>   [491,] 1.879325e-05 1.465914e-05 #>   [492,] 1.522152e-05 1.269076e-05 #>   [493,] 2.370157e-04 4.420670e-04 #>   [494,] 1.615921e-05 1.264486e-05 #>   [495,] 1.380483e-05 1.076500e-05 #>   [496,] 1.564162e-05 1.289592e-05 #>   [497,] 1.586967e-05 1.469585e-05 #>   [498,] 1.065197e-05 1.127431e-05 #>   [499,] 1.283262e-05 1.279026e-05 #>   [500,] 1.330424e-05 1.144685e-05 #>   [501,] 3.525308e-05 2.358082e-05 #>   [502,] 2.182936e-05 2.904829e-05 #>   [503,] 1.745470e-05 1.420289e-05 #>   [504,] 1.264428e-05 1.214611e-05 #>   [505,] 1.522535e-05 1.228832e-05 #>   [506,] 3.909925e-05 1.965729e-05 #>   [507,] 3.162993e-05 1.574064e-05 #>   [508,] 1.681713e-05 2.127912e-04 #>   [509,] 1.584585e-05 1.383186e-05 #>   [510,] 1.287555e-05 1.165738e-05 #>   [511,] 1.180387e-03 7.123920e-04 #>   [512,] 3.770483e-05 4.629914e-05 #>   [513,] 2.644874e-05 1.276853e-05 #>   [514,] 1.529120e-05 1.312030e-05 #>   [515,] 3.034428e-05 3.288765e-05 #>   [516,] 1.402612e-05 1.223272e-05 #>   [517,] 8.080627e-05 1.226459e-04 #>   [518,] 1.875985e-05 1.536334e-05 #>   [519,] 3.751445e-05 2.174900e-05 #>   [520,] 1.404688e-05 1.311895e-05 #>   [521,] 1.197376e-05 1.239049e-05 #>   [522,] 1.270519e-05 1.137768e-05 #>   [523,] 4.101432e-05 5.470233e-05 #>   [524,] 1.626820e-05 1.404310e-05 #>   [525,] 1.660971e-05 1.445963e-05 #>   [526,] 1.445537e-05 1.295139e-05 #>   [527,] 1.302208e-05 1.102988e-05 #>   [528,] 1.242441e-05 1.081800e-05 #>   [529,] 1.237317e-05 1.212091e-05 #>   [530,] 1.668987e-05 1.380849e-05 #>   [531,] 1.714279e-05 1.435341e-05 #>   [532,] 1.160433e-05 1.094006e-05 #>   [533,] 3.810610e-05 1.338053e-05 #>   [534,] 1.397952e-05 1.214109e-05 #>   [535,] 1.426361e-05 1.538630e-05 #>   [536,] 1.298399e-05 1.232280e-05 #>   [537,] 1.629095e-05 1.396708e-05 #>   [538,] 2.005733e-05 1.505751e-05 #>   [539,] 1.175820e-05 9.683552e-06 #>   [540,] 1.420790e-05 1.231827e-05 #>   [541,] 1.114224e-03 7.239424e-04 #>   [542,] 1.686881e-05 1.668846e-05 #>   [543,] 5.240957e-05 5.008118e-05 #>   [544,] 7.946104e-05 1.716375e-04 #>   [545,] 1.866424e-05 1.652278e-05 #>   [546,] 1.636791e-05 1.410787e-05 #>   [547,] 1.325654e-05 1.174507e-05 #>   [548,] 1.731494e-05 1.477058e-05 #>   [549,] 1.528608e-05 1.625963e-05 #>   [550,] 4.299856e-05 8.113451e-05 #>   [551,] 2.631588e-05 4.354853e-05 #>   [552,] 2.092693e-05 1.976720e-05 #>   [553,] 1.369151e-05 1.840510e-05 #>   [554,] 1.183349e-05 1.126196e-05 #>   [555,] 3.175903e-05 1.822265e-05 #>   [556,] 6.604031e-05 2.378784e-05 #>   [557,] 1.614667e-05 1.363535e-05 #>   [558,] 3.883704e-05 4.125847e-05 #>   [559,] 8.574673e-05 6.599899e-05 #>   [560,] 1.749116e-05 1.214575e-05 #>   [561,] 2.180777e-05 1.816196e-05 #>   [562,] 1.919057e-05 2.881237e-05 #>   [563,] 2.068213e-05 1.559914e-05 #>   [564,] 5.838933e-05 4.128155e-05 #>   [565,] 1.787146e-04 3.441512e-05 #>   [566,] 1.775347e-05 1.352569e-05 #>   [567,] 1.491780e-04 1.909111e-04 #>   [568,] 8.558593e-05 3.880295e-04 #>   [569,] 1.627624e-05 1.595049e-05 #>   [570,] 1.153033e-05 1.138406e-05 #>   [571,] 1.585414e-05 1.399432e-05 #>   [572,] 4.436710e-05 1.983734e-05 #>   [573,] 1.930192e-05 2.176605e-05 #>   [574,] 5.112171e-05 4.823001e-05 #>   [575,] 1.836100e-05 1.514117e-05 #>   [576,] 4.949885e-05 3.325290e-05 #>   [577,] 1.597479e-05 1.503431e-05 #>   [578,] 4.067398e-05 5.291189e-05 #>   [579,] 1.878622e-04 3.386621e-05 #>   [580,] 2.262429e-05 1.617508e-05 #>   [581,] 1.091310e-05 1.069501e-05 #>   [582,] 1.941640e-05 1.712983e-05 #>   [583,] 4.360655e-05 4.176084e-05 #>   [584,] 1.500902e-05 1.396575e-05 #>   [585,] 1.854494e-05 1.463117e-05 #>   [586,] 1.483161e-05 1.530652e-05 #>   [587,] 6.242885e-05 1.562235e-04 #>   [588,] 1.574383e-05 1.566128e-05 #>   [589,] 1.393669e-05 1.223436e-05 #>   [590,] 1.200491e-05 1.075718e-05 #>   [591,] 5.223301e-04 7.808014e-05 #>   [592,] 8.617172e-05 7.592137e-05 #>   [593,] 8.635072e-05 9.629153e-05 #>   [594,] 2.824174e-05 1.607871e-05 #>   [595,] 1.236883e-05 1.265303e-05 #>   [596,] 1.308507e-05 1.142637e-05 #>   [597,] 1.606964e-05 7.440596e-05 #>   [598,] 1.177466e-05 1.166546e-05 #>   [599,] 8.323539e-05 9.657517e-05 #>   [600,] 1.480054e-05 1.317090e-05 #>   [601,] 1.440064e-05 1.378006e-05 #>   [602,] 1.620323e-05 1.506723e-05 #>   [603,] 1.932597e-05 1.645446e-05 #>   [604,] 2.029233e-05 1.659501e-05 #>   [605,] 8.838632e-05 2.310643e-05 #>   [606,] 7.828255e-05 3.288232e-05 #>   [607,] 1.543351e-05 1.436158e-05 #>   [608,] 2.206602e-05 1.520007e-05 #>   [609,] 8.623980e-05 3.783774e-05 #>   [610,] 1.364554e-05 1.172399e-05 #>   [611,] 1.754084e-05 1.425260e-05 #>   [612,] 2.249441e-05 1.455953e-05 #>   [613,] 1.568700e-05 1.315947e-05 #>   [614,] 3.842961e-05 1.548352e-05 #>   [615,] 1.448558e-05 1.273368e-05 #>   [616,] 2.509231e-05 1.653688e-05 #>   [617,] 1.473258e-05 1.754316e-05 #>   [618,] 3.319939e-05 1.996683e-05 #>   [619,] 1.127321e-04 5.349241e-05 #>   [620,] 2.722756e-05 4.200128e-05 #>   [621,] 1.476361e-05 1.340627e-05 #>   [622,] 1.551415e-05 1.324017e-05 #>   [623,] 1.260870e-05 1.108376e-05 #>   [624,] 2.385432e-05 2.899076e-05 #>   [625,] 1.792951e-05 1.512405e-05 #>   [626,] 2.044582e-05 7.559162e-05 #>   [627,] 3.538590e-05 1.544470e-05 #>   [628,] 1.675219e-05 1.360798e-05 #>   [629,] 1.812839e-05 1.485372e-05 #>   [630,] 8.856600e-05 1.630693e-05 #>   [631,] 1.983513e-05 1.378395e-05 #>   [632,] 1.683666e-05 1.363179e-05 #>   [633,] 5.132648e-05 1.110113e-03 #>   [634,] 1.608116e-05 5.712453e-05 #>   [635,] 1.719949e-05 1.515704e-05 #>   [636,] 1.924081e-05 1.607174e-05 #>   [637,] 1.765774e-05 1.752302e-05 #>   [638,] 2.388995e-05 1.443409e-05 #>   [639,] 1.687583e-05 1.666321e-05 #>   [640,] 2.777302e-05 1.638468e-05 #>   [641,] 2.209214e-05 1.533585e-05 #>   [642,] 1.356711e-05 1.639618e-05 #>   [643,] 1.642289e-05 1.571833e-05 #>   [644,] 1.862014e-05 1.417044e-05 #>   [645,] 4.213064e-05 3.548266e-05 #>   [646,] 1.331094e-05 1.174435e-05 #>   [647,] 1.801951e-05 2.017031e-05 #>   [648,] 8.571664e-05 1.027199e-04 #>   [649,] 1.830344e-05 1.535979e-05 #>   [650,] 1.905781e-05 1.542566e-05 #>   [651,] 2.217077e-05 1.770299e-05 #>   [652,] 9.823846e-04 3.308231e-04 #>   [653,] 1.342113e-05 1.079021e-05 #>   [654,] 3.270587e-05 3.130717e-05 #>   [655,] 1.236688e-04 8.524136e-05 #>   [656,] 3.141357e-05 7.446708e-05 #>   [657,] 2.423157e-05 3.587853e-05 #>   [658,] 1.293312e-05 1.237354e-05 #>   [659,] 1.337225e-05 1.215396e-05 #>   [660,] 1.491041e-05 1.388504e-05 #>   [661,] 4.091839e-04 2.740498e-04 #>   [662,] 1.698937e-05 1.239017e-05 #>   [663,] 1.369851e-05 1.183199e-05 #>   [664,] 1.782317e-05 1.607543e-05 #>   [665,] 2.968152e-04 4.462697e-04 #>   [666,] 2.135791e-05 1.519388e-05 #>   [667,] 1.178871e-05 1.334821e-05 #>   [668,] 1.659227e-05 1.330423e-05 #>   [669,] 1.746874e-05 1.474469e-05 #>   [670,] 1.303645e-05 1.218428e-05 #>   [671,] 1.653880e-05 1.244439e-04 #>   [672,] 2.252945e-05 1.261212e-04 #>   [673,] 1.903720e-05 1.846837e-05 #>   [674,] 2.781048e-05 1.471617e-05 #>   [675,] 1.741139e-05 1.275582e-05 #>   [676,] 4.310303e-05 1.649178e-05 #>   [677,] 2.147901e-05 1.582982e-05 #>   [678,] 1.136982e-05 1.181546e-05 #>   [679,] 1.492351e-05 1.345824e-05 #>   [680,] 2.276851e-05 1.739848e-05 #>   [681,] 1.837033e-05 1.253629e-05 #>   [682,] 1.370975e-05 1.434297e-05 #>   [683,] 4.651418e-05 6.781556e-05 #>   [684,] 3.301271e-04 3.573630e-05 #>   [685,] 1.376528e-04 1.347614e-04 #>   [686,] 3.608374e-05 3.305971e-05 #>   [687,] 1.348644e-05 1.275441e-05 #>   [688,] 1.170341e-05 1.142140e-05 #>   [689,] 1.612697e-05 1.460419e-05 #>   [690,] 2.163263e-05 1.691804e-05 #>   [691,] 1.756150e-05 1.447626e-05 #>   [692,] 1.372884e-05 1.353760e-05 #>   [693,] 2.380745e-05 1.737663e-05 #>   [694,] 1.483904e-05 1.300116e-05 #>   [695,] 2.511537e-05 1.791054e-05 #>   [696,] 1.473862e-05 1.204175e-05 #>   [697,] 1.709735e-05 1.303280e-05 #>   [698,] 1.638301e-05 1.671722e-05 #>   [699,] 1.584886e-05 1.688172e-05 #>   [700,] 4.456839e-05 1.486134e-05 #>   [701,] 2.230318e-05 1.724066e-05 #>   [702,] 1.358018e-05 1.166042e-05 #>   [703,] 3.462664e-05 6.584153e-05 #>   [704,] 2.069796e-05 1.568327e-05 #>   [705,] 1.226977e-05 1.048117e-05 #>   [706,] 1.302480e-05 1.324884e-05 #>   [707,] 1.973840e-05 1.953745e-05 #>   [708,] 1.609424e-05 1.375460e-05 #>   [709,] 1.578045e-05 1.481690e-05 #>   [710,] 1.543685e-05 1.719324e-05 #>   [711,] 2.229321e-05 1.731006e-05 #>   [712,] 6.088285e-05 4.195182e-05 #>   [713,] 4.595389e-05 5.526562e-05 #>   [714,] 1.143172e-05 1.086415e-05 #>   [715,] 4.038557e-05 6.200131e-05 #>   [716,] 1.290618e-05 1.133289e-05 #>   [717,] 1.596560e-05 2.454666e-05 #>   [718,] 2.245863e-05 1.748946e-05 #>   [719,] 1.260036e-05 1.144955e-05 #>   [720,] 1.509321e-05 1.404768e-05 #>   [721,] 1.861321e-05 1.474871e-05 #>   [722,] 1.088467e-05 9.889106e-06 #>   [723,] 2.039260e-05 1.662254e-05 #>   [724,] 4.128388e-05 3.141973e-05 #>   [725,] 1.834245e-05 1.485302e-05 #>   [726,] 1.515875e-05 1.154131e-05 #>   [727,] 1.559998e-05 1.341500e-05 #>   [728,] 7.884303e-05 9.824033e-05 #>   [729,] 6.832498e-05 9.691284e-04 #>   [730,] 1.292156e-04 5.177780e-04 #>   [731,] 5.355803e-05 2.234497e-05 #>   [732,] 3.011485e-05 2.538174e-05 #>   [733,] 1.032063e-05 9.541955e-06 #>   [734,] 1.281533e-05 1.108857e-05 #>   [735,] 6.112671e-05 3.670649e-04 #>   [736,] 1.682770e-05 1.522719e-05 #>   [737,] 1.403858e-05 1.178727e-05 #>   [738,] 1.481569e-05 1.219447e-05 #>   [739,] 2.108266e-05 1.561147e-05 #>   [740,] 1.649458e-05 1.749187e-05 #>   [741,] 1.147973e-04 2.574184e-04 #>   [742,] 1.728245e-05 1.780506e-05 #>   [743,] 1.452463e-05 2.016834e-05 #>   [744,] 1.383803e-05 1.204907e-05 #>   [745,] 9.184773e-05 6.496286e-05 #>   [746,] 1.498838e-05 1.115558e-05 #>   [747,] 1.472305e-05 1.236357e-05 #>   [748,] 1.707400e-05 1.787738e-05 #>   [749,] 1.106383e-05 9.918876e-06 #>   [750,] 1.755968e-05 1.173545e-05 #>   [751,] 5.173884e-05 3.542273e-05 #>   [752,] 1.102221e-03 3.593378e-04 #>   [753,] 2.570227e-05 3.102592e-05 #>   [754,] 2.118740e-05 1.476955e-05 #>   [755,] 1.090431e-05 9.929124e-06 #>   [756,] 1.553856e-05 1.244164e-05 #>   [757,] 1.607475e-05 1.550964e-05 #>   [758,] 7.162990e-05 6.206283e-05 #>   [759,] 1.598683e-05 1.374561e-05 #>   [760,] 2.430577e-05 1.756437e-05 #>   [761,] 1.483401e-05 1.184570e-05 #>   [762,] 1.212895e-05 1.129649e-05 #>   [763,] 8.732859e-05 1.710621e-05 #>   [764,] 2.194329e-05 1.286912e-05 #>   [765,] 4.253094e-05 2.082911e-05 #>   [766,] 3.556742e-05 1.663888e-05 #>   [767,] 2.403666e-05 2.101578e-05 #>   [768,] 1.267559e-05 1.134877e-05 #>   [769,] 1.548397e-05 1.025324e-05 #>   [770,] 1.396470e-05 1.132334e-05 #>   [771,] 1.989610e-05 1.559310e-05 #>   [772,] 3.417328e-05 1.506754e-05 #>   [773,] 2.127098e-05 1.677240e-05 #>   [774,] 1.140324e-05 1.044873e-05 #>   [775,] 2.568700e-05 5.718382e-04 #>   [776,] 6.967672e-05 6.226759e-05 #>   [777,] 1.263530e-05 1.130121e-05 #>   [778,] 1.179994e-05 1.347525e-05 #>   [779,] 1.283979e-05 1.114406e-05 #>   [780,] 1.381906e-05 1.201135e-05 #>   [781,] 1.424778e-05 1.482427e-05 #>   [782,] 1.590617e-05 1.486693e-05 #>   [783,] 1.714439e-05 1.440069e-05 #>   [784,] 1.484706e-05 1.266274e-05 #>   [785,] 2.037598e-05 1.968250e-05 #>   [786,] 1.193175e-05 1.690779e-05 #>   [787,] 1.902082e-05 1.495621e-05 #>   [788,] 2.879687e-05 1.171076e-05 #>   [789,] 1.407627e-05 1.228504e-05 #>   [790,] 1.199976e-05 1.020829e-05 #>   [791,] 2.957734e-05 4.951507e-05 #>   [792,] 3.678765e-05 5.731686e-05 #>   [793,] 1.690668e-05 1.459343e-05 #>   [794,] 2.324441e-05 1.274590e-05 #>   [795,] 3.403119e-05 1.292076e-05 #>   [796,] 2.071440e-05 1.625019e-05 #>   [797,] 1.530159e-05 1.351225e-05 #>   [798,] 1.861744e-05 5.428649e-05 #>   [799,] 1.142132e-05 1.109212e-05 #>   [800,] 2.953896e-05 2.759424e-05 #>   [801,] 7.263377e-05 1.108385e-03 #>   [802,] 1.579545e-05 1.270683e-05 #>   [803,] 5.076896e-05 3.357210e-04 #>   [804,] 1.423429e-05 2.444913e-05 #>   [805,] 1.671357e-05 1.422960e-05 #>   [806,] 1.721758e-05 1.708199e-05 #>   [807,] 1.402733e-05 1.266510e-05 #>   [808,] 1.169464e-05 1.185812e-05 #>   [809,] 1.646496e-05 1.519705e-05 #>   [810,] 1.137413e-05 1.111953e-05 #>   [811,] 1.612460e-05 2.216864e-05 #>   [812,] 4.487649e-05 3.815689e-04 #>   [813,] 1.913738e-05 1.506303e-05 #>   [814,] 2.684979e-05 1.416439e-05 #>   [815,] 1.723517e-04 4.591476e-05 #>   [816,] 6.703785e-05 1.602802e-05 #>   [817,] 3.127776e-05 7.865855e-05 #>   [818,] 1.892227e-05 2.007361e-05 #>   [819,] 1.752319e-05 1.531619e-05 #>   [820,] 1.827859e-05 1.541061e-05 #>   [821,] 4.450413e-05 1.453228e-05 #>   [822,] 2.287772e-05 1.351461e-05 #>   [823,] 1.490201e-05 9.989086e-06 #>   [824,] 1.750659e-05 1.840679e-05 #>   [825,] 1.366381e-05 1.242173e-05 #>   [826,] 1.636551e-05 1.424593e-05 #>   [827,] 1.047095e-04 1.868521e-05 #>   [828,] 1.874169e-05 1.328000e-05 #>   [829,] 2.500379e-05 6.707076e-05 #>   [830,] 2.022838e-05 1.592134e-05 #>   [831,] 1.700451e-05 1.556725e-05 #>   [832,] 2.036402e-05 1.051401e-04 #>   [833,] 2.727325e-05 1.934536e-05 #>   [834,] 1.846811e-05 1.699932e-05 #>   [835,] 6.790089e-05 1.912005e-05 #>   [836,] 1.727044e-05 1.501351e-05 #>   [837,] 1.981758e-05 5.495482e-05 #>   [838,] 1.405728e-05 1.135173e-05 #>   [839,] 1.604176e-05 1.435542e-05 #>   [840,] 1.379418e-05 1.127281e-05 #>   [841,] 3.507136e-05 3.265961e-05 #>   [842,] 1.940864e-05 2.239616e-05 #>   [843,] 1.281926e-04 3.341411e-05 #>   [844,] 1.023056e-04 2.209384e-04 #>   [845,] 1.476604e-05 1.167012e-05 #>   [846,] 2.537081e-05 1.434568e-05 #>   [847,] 1.118912e-05 1.057917e-05 #>   [848,] 1.423516e-05 1.238729e-05 #>   [849,] 2.180539e-04 9.709127e-05 #>   [850,] 1.953090e-05 1.872302e-05 #>   [851,] 1.256189e-05 1.210535e-05 #>   [852,] 1.410553e-05 1.200316e-05 #>   [853,] 1.544532e-05 1.350757e-05 #>   [854,] 4.144653e-05 3.073857e-05 #>   [855,] 1.635911e-05 1.386191e-05 #>   [856,] 2.078517e-05 1.635564e-05 #>   [857,] 1.566748e-05 1.497867e-05 #>   [858,] 1.778298e-05 1.476444e-05 #>   [859,] 2.214931e-05 1.680175e-05 #>   [860,] 1.191356e-05 1.171485e-05 #>   [861,] 1.640773e-05 2.346210e-05 #>   [862,] 3.153958e-05 2.296759e-05 #>   [863,] 2.198315e-05 1.459227e-05 #>   [864,] 1.145941e-04 3.266916e-05 #>   [865,] 2.008273e-05 1.591939e-05 #>   [866,] 1.630133e-05 1.353304e-05 #>   [867,] 1.444986e-05 1.196706e-05 #>   [868,] 2.021812e-05 1.409096e-05 #>   [869,] 8.765280e-05 1.886686e-05 #>   [870,] 1.613335e-05 1.491669e-05 #>   [871,] 3.488434e-05 4.325113e-05 #>   [872,] 1.232737e-05 1.013752e-05 #>   [873,] 1.737301e-05 1.214212e-05 #>   [874,] 1.794210e-05 1.406857e-05 #>   [875,] 1.744379e-05 1.402541e-05 #>   [876,] 1.176752e-05 1.097327e-05 #>   [877,] 1.876497e-05 2.436029e-05 #>   [878,] 1.147392e-05 1.710281e-05 #>   [879,] 1.334250e-05 1.192912e-05 #>   [880,] 1.489471e-05 1.110936e-05 #>   [881,] 4.655855e-05 3.884258e-05 #>   [882,] 2.044929e-05 1.407965e-05 #>   [883,] 1.156818e-05 1.069349e-05 #>   [884,] 2.154798e-05 1.599323e-05 #>   [885,] 5.162804e-05 2.431615e-05 #>   [886,] 1.494181e-05 1.253125e-05 #>   [887,] 2.272435e-04 1.487263e-04 #>   [888,] 1.311447e-05 1.442548e-05 #>   [889,] 1.219364e-05 1.132099e-05 #>   [890,] 2.122744e-05 1.515173e-05 #>   [891,] 1.698051e-05 1.498937e-05 #>   [892,] 1.281403e-05 1.478537e-05 #>   [893,] 1.247923e-05 1.166879e-05 #>   [894,] 1.383284e-05 1.369789e-05 #>   [895,] 1.678306e-05 1.225266e-05 #>   [896,] 1.671767e-05 1.533116e-05 #>   [897,] 1.298312e-05 1.076180e-05 #>   [898,] 3.108528e-05 3.843479e-05 #>   [899,] 4.327338e-05 5.829589e-05 #>   [900,] 1.315421e-05 1.343112e-05 #>   [901,] 3.491458e-05 1.731358e-05 #>   [902,] 1.769511e-05 1.475146e-05 #>   [903,] 1.203919e-05 1.079872e-05 #>   [904,] 1.529479e-05 1.732484e-05 #>   [905,] 4.378117e-05 2.626214e-05 #>   [906,] 1.605438e-05 1.554189e-05 #>   [907,] 3.098035e-05 2.558940e-05 #>   [908,] 1.782974e-05 1.508411e-05 #>   [909,] 1.798406e-05 1.609209e-05 #>   [910,] 1.359700e-05 1.148601e-05 #>   [911,] 2.206040e-05 1.324506e-05 #>   [912,] 1.519373e-05 1.339775e-05 #>   [913,] 1.162715e-05 1.099948e-05 #>   [914,] 1.417001e-05 1.833866e-05 #>   [915,] 1.708860e-05 1.498094e-05 #>   [916,] 1.091278e-05 9.390594e-06 #>   [917,] 1.408338e-05 1.185113e-05 #>   [918,] 1.420940e-05 1.199558e-05 #>   [919,] 4.031568e-05 4.685197e-04 #>   [920,] 3.041112e-04 4.000258e-04 #>   [921,] 3.902922e-05 3.345509e-05 #>   [922,] 4.103034e-04 7.118600e-04 #>   [923,] 3.436024e-05 5.144382e-05 #>   [924,] 3.204116e-04 3.246812e-04 #>   [925,] 6.392556e-05 7.731357e-05 #>   [926,] 7.111568e-05 8.492404e-05 #>   [927,] 1.977504e-05 2.166901e-05 #>   [928,] 1.132207e-05 1.140294e-05 #>   [929,] 1.203147e-05 1.244568e-05 #>   [930,] 3.103837e-05 1.733685e-05 #>   [931,] 1.631434e-05 1.398856e-05 #>   [932,] 1.483061e-04 3.874203e-05 #>   [933,] 1.644531e-05 1.396859e-05 #>   [934,] 2.230135e-05 1.477566e-05 #>   [935,] 1.749991e-05 1.442378e-05 #>   [936,] 1.942167e-05 1.758244e-05 #>   [937,] 3.116564e-05 1.448874e-05 #>   [938,] 1.203905e-05 1.253664e-05 #>   [939,] 1.670199e-05 1.437068e-05 #>   [940,] 1.221811e-05 1.516240e-05 #>   [941,] 1.529421e-05 1.237218e-05 #>   [942,] 1.583878e-05 1.810159e-05 #>   [943,] 1.276566e-05 1.438894e-05 #>   [944,] 1.442410e-05 1.190532e-05 #>   [945,] 1.779362e-05 1.435745e-05 #>   [946,] 1.531286e-05 1.374843e-05 #>   [947,] 1.389635e-05 1.202259e-05 #>   [948,] 2.246167e-05 1.564219e-05 #>   [949,] 1.307862e-05 1.090995e-05 #>   [950,] 1.489346e-05 1.229151e-05 #>   [951,] 1.618258e-05 1.200591e-05 #>   [952,] 1.460934e-05 1.399257e-05 #>   [953,] 2.161444e-05 5.911351e-05 #>   [954,] 1.045057e-05 1.006809e-05 #>   [955,] 1.277810e-05 1.150122e-05 #>   [956,] 2.197370e-05 2.390098e-05 #>   [957,] 1.519781e-05 1.291783e-05 #>   [958,] 1.068974e-04 9.459992e-05 #>   [959,] 2.878006e-05 1.331600e-05 #>   [960,] 1.675356e-05 1.274553e-05 #>   [961,] 2.198244e-05 1.582961e-05 #>   [962,] 3.040402e-05 2.647928e-05 #>   [963,] 2.094291e-05 2.494883e-05 #>   [964,] 1.750946e-05 2.256221e-05 #>   [965,] 7.205394e-05 1.983751e-05 #>   [966,] 1.096199e-03 6.410488e-04 #>   [967,] 1.855809e-05 1.500740e-05 #>   [968,] 2.913684e-05 1.816206e-05 #>   [969,] 2.033928e-05 1.431326e-05 #>   [970,] 1.051926e-05 9.389549e-06 #>   [971,] 1.384136e-05 1.140628e-05 #>   [972,] 1.890213e-05 1.744286e-05 #>   [973,] 1.620699e-05 1.389006e-05 #>   [974,] 2.273951e-05 1.599277e-05 #>   [975,] 1.394622e-05 1.151662e-05 #>   [976,] 2.216723e-05 7.195875e-05 #>   [977,] 2.503078e-05 1.560167e-05 #>   [978,] 1.453292e-05 2.669074e-05 #>   [979,] 1.642830e-05 3.652564e-05 #>   [980,] 1.662145e-04 2.962722e-05 #>   [981,] 1.799024e-05 1.435567e-05 #>   [982,] 1.138631e-05 1.105526e-05 #>   [983,] 2.067334e-05 1.491348e-05 #>   [984,] 1.798273e-05 2.211156e-05 #>   [985,] 1.047107e-04 3.876432e-05 #>   [986,] 1.417413e-05 1.281546e-05 #>   [987,] 2.542320e-05 1.568766e-05 #>   [988,] 2.164624e-04 4.372379e-05 #>   [989,] 4.350785e-05 1.103904e-04 #>   [990,] 1.796943e-05 1.432073e-05 #>   [991,] 1.511636e-05 1.170539e-05 #>   [992,] 1.575665e-05 1.333673e-05 #>   [993,] 1.385220e-05 1.137665e-05 #>   [994,] 1.728067e-05 1.507860e-05 #>   [995,] 1.475030e-05 1.251496e-05 #>   [996,] 2.863199e-05 2.998728e-05 #>   [997,] 1.238755e-05 1.001749e-05 #>   [998,] 1.909378e-05 1.245767e-05 #>   [999,] 1.629448e-05 1.629184e-05 #>  [1000,] 1.217342e-05 1.012287e-05 #>  [1001,] 1.085704e-04 1.241339e-04 #>  [1002,] 4.344276e-05 1.745689e-05 #>  [1003,] 3.486433e-05 2.220596e-05 #>  [1004,] 2.250333e-05 1.390690e-05 #>  [1005,] 3.899194e-05 1.582661e-05 #>  [1006,] 1.441771e-05 1.201685e-05 #>  [1007,] 8.471847e-05 2.925441e-04 #>  [1008,] 3.038285e-05 2.586566e-05 #>  [1009,] 1.257446e-05 1.226707e-05 #>  [1010,] 1.937658e-05 1.628244e-05 #>  [1011,] 1.477146e-05 1.247108e-05 #>  [1012,] 2.262784e-05 2.063836e-05 #>  [1013,] 2.262803e-05 1.498813e-05 #>  [1014,] 1.780700e-05 1.209238e-05 #>  [1015,] 1.707638e-05 7.697875e-05 #>  [1016,] 1.201837e-05 1.220409e-05 #>  [1017,] 1.676095e-05 1.289365e-05 #>  [1018,] 1.230343e-05 1.249492e-05 #>  [1019,] 1.326914e-05 1.140462e-05 #>  [1020,] 1.700923e-05 1.267232e-05 #>  [1021,] 1.670153e-05 1.253966e-05 #>  [1022,] 6.192695e-05 1.207967e-04 #>  [1023,] 2.286810e-05 2.622946e-05 #>  [1024,] 2.091802e-05 1.677838e-05 #>  [1025,] 1.831883e-05 1.267141e-05 #>  [1026,] 1.846058e-05 1.819325e-05 #>  [1027,] 1.553379e-05 1.392298e-05 #>  [1028,] 5.454607e-05 1.732291e-05 #>  [1029,] 1.677290e-05 1.552934e-05 #>  [1030,] 1.489860e-05 1.385073e-05 #>  [1031,] 1.403865e-05 1.258651e-05 #>  [1032,] 1.530646e-05 2.222997e-05 #>  [1033,] 1.267571e-05 1.033779e-05 #>  [1034,] 1.966305e-05 3.092722e-05 #>  [1035,] 1.598303e-05 1.591525e-05 #>  [1036,] 2.553625e-05 1.572123e-05 #>  [1037,] 1.251274e-05 1.399656e-05 #>  [1038,] 1.846046e-05 1.280442e-05 #>  [1039,] 1.694778e-05 1.828640e-05 #>  [1040,] 1.681151e-05 1.494317e-05 #>  [1041,] 1.730264e-05 1.293387e-05 #>  [1042,] 1.443127e-05 1.373717e-05 #>  [1043,] 2.707338e-05 5.488531e-05 #>  [1044,] 2.075224e-05 1.660041e-05 #>  [1045,] 2.806528e-05 1.863159e-05 #>  [1046,] 1.333820e-05 1.273621e-05 #>  [1047,] 1.313361e-05 1.144109e-05 #>  [1048,] 3.081089e-05 3.062455e-05 #>  [1049,] 1.494811e-05 1.187418e-05 #>  [1050,] 7.418156e-05 2.874373e-05 #>  [1051,] 1.964665e-04 1.380547e-04 #>  [1052,] 1.669475e-05 1.449136e-05 #>  [1053,] 1.299954e-05 1.196947e-05 #>  [1054,] 1.440907e-05 1.316165e-05 #>  [1055,] 1.534973e-05 1.329869e-05 #>  [1056,] 1.525609e-05 1.387727e-05 #>  [1057,] 1.842934e-05 2.036973e-05 #>  [1058,] 1.593675e-05 1.381600e-05 #>  [1059,] 3.357278e-05 4.195694e-05 #>  [1060,] 1.173214e-03 2.687525e-04 #>  [1061,] 7.670686e-05 7.186828e-05 #>  [1062,] 8.191958e-05 8.163339e-05 #>  [1063,] 1.204078e-05 1.047564e-05 #>  [1064,] 1.348922e-05 1.189067e-05 #>  [1065,] 1.661523e-05 1.676914e-05 #>  [1066,] 1.249629e-05 1.103092e-05 #>  [1067,] 1.019196e-05 1.043519e-05 #>  [1068,] 2.282079e-05 1.502379e-05 #>  [1069,] 1.817871e-05 1.413017e-05 #>  [1070,] 1.841460e-05 1.402444e-05 #>  [1071,] 1.367403e-05 1.551501e-05 #>  [1072,] 1.603746e-05 1.646740e-05 #>  [1073,] 1.564767e-05 1.288543e-05 #>  [1074,] 1.558184e-05 1.358295e-05 #>  [1075,] 1.316501e-05 1.457267e-05 #>  [1076,] 1.696233e-05 1.311061e-05 #>  [1077,] 1.685842e-05 1.436078e-05 #>  [1078,] 1.380033e-05 1.159266e-05 #>  [1079,] 2.013792e-05 1.985593e-05 #>  [1080,] 1.012068e-05 9.985763e-06 #>  [1081,] 1.294803e-05 1.139445e-05 #>  [1082,] 1.477090e-05 1.370729e-05 #>  [1083,] 1.569117e-05 1.280018e-05 #>  [1084,] 1.544438e-05 1.365683e-05 #>  [1085,] 1.482245e-05 1.276465e-05 #>  [1086,] 2.645146e-05 1.412444e-05 #>  [1087,] 4.000421e-05 1.788367e-05 #>  [1088,] 2.679324e-05 1.610972e-05 #>  [1089,] 1.546906e-05 1.319791e-05 #>  [1090,] 2.306790e-05 2.359291e-05 #>  [1091,] 2.921331e-05 2.534116e-05 #>  [1092,] 1.330969e-05 2.063436e-05 #>  [1093,] 1.548100e-05 1.297548e-05 #>  [1094,] 1.637248e-05 1.504758e-05 #>  [1095,] 1.200613e-05 1.235023e-05 #>  [1096,] 1.645528e-05 1.182282e-05 #>  [1097,] 1.078491e-03 6.561883e-05 #>  [1098,] 2.412247e-04 3.605475e-04 #>  [1099,] 7.390537e-05 1.585695e-04 #>  [1100,] 1.506397e-05 1.282845e-05 #>  [1101,] 4.048801e-05 6.429546e-05 #>  [1102,] 1.392094e-05 1.243083e-05 #>  [1103,] 1.875762e-05 1.367431e-05 #>  [1104,] 2.122943e-05 1.698107e-05 #>  [1105,] 1.320716e-05 1.206770e-05 #>  [1106,] 1.769733e-05 1.709848e-05 #>  [1107,] 1.539365e-05 1.454558e-05 #>  [1108,] 1.379075e-05 1.118710e-05 #>  [1109,] 2.943444e-05 2.427526e-05 #>  [1110,] 3.373633e-05 1.308805e-05 #>  [1111,] 4.736112e-05 1.893481e-05 #>  [1112,] 3.459367e-05 1.603797e-05 #>  [1113,] 1.313255e-05 1.144817e-05 #>  [1114,] 2.337095e-05 1.618865e-05 #>  [1115,] 1.694639e-05 1.395074e-05 #>  [1116,] 7.955605e-05 6.621013e-05 #>  [1117,] 2.080748e-05 1.238062e-05 #>  [1118,] 1.548305e-05 1.300725e-05 #>  [1119,] 3.227872e-05 1.895276e-05 #>  [1120,] 1.165191e-04 1.650701e-05 #>  [1121,] 2.294601e-05 1.378572e-05 #>  [1122,] 2.603803e-05 2.020708e-05 #>  [1123,] 1.729711e-05 1.311362e-05 #>  [1124,] 1.868248e-05 2.653361e-05 #>  [1125,] 1.628153e-05 1.668279e-05 #>  [1126,] 4.797151e-05 1.316034e-05 #>  [1127,] 1.531914e-05 1.247407e-05 #>  [1128,] 3.947872e-05 2.961353e-05 #>  [1129,] 1.641083e-05 1.202308e-05 #>  [1130,] 1.171659e-05 1.051447e-05 #>  [1131,] 1.256293e-05 1.207381e-05 #>  [1132,] 2.895064e-05 2.929826e-05 #>  [1133,] 1.983588e-05 1.527754e-05 #>  [1134,] 1.175480e-05 9.310501e-06 #>  [1135,] 8.721518e-05 1.699236e-05 #>  [1136,] 1.678920e-05 1.258174e-05 #>  [1137,] 2.062827e-05 2.883814e-05 #>  [1138,] 1.758230e-05 1.566131e-05 #>  [1139,] 1.315944e-05 1.146685e-05 #>  [1140,] 1.482206e-05 1.552742e-05 #>  [1141,] 1.747754e-05 1.413542e-05 #>  [1142,] 1.046570e-05 1.014415e-05 #>  [1143,] 1.650642e-05 1.279121e-05 #>  [1144,] 9.796753e-05 2.495592e-05 #>  [1145,] 1.720584e-05 1.310479e-05 #>  [1146,] 1.222121e-05 1.079056e-05 #>  [1147,] 1.373548e-05 1.196670e-05 #>  [1148,] 5.473820e-05 1.538543e-05 #>  [1149,] 1.210040e-05 1.184240e-05 #>  [1150,] 1.662844e-05 2.334574e-05 #>  [1151,] 1.506780e-05 1.479502e-05 #>  [1152,] 2.340241e-05 1.875422e-05 #>  [1153,] 1.356446e-05 1.674665e-05 #>  [1154,] 1.102316e-04 4.471221e-05 #>  [1155,] 8.238599e-04 5.219156e-04 #>  [1156,] 1.671798e-05 1.307114e-05 #>  [1157,] 2.124113e-05 2.397584e-05 #>  [1158,] 2.005968e-05 2.007764e-05 #>  [1159,] 1.415615e-05 1.428379e-05 #>  [1160,] 1.567892e-05 1.399787e-05 #>  [1161,] 1.625582e-05 1.428527e-05 #>  [1162,] 2.117117e-05 2.152362e-05 #>  [1163,] 1.498849e-05 1.193072e-05 #>  [1164,] 1.888533e-05 1.270992e-05 #>  [1165,] 3.531296e-05 1.176104e-04 #>  [1166,] 1.219153e-05 1.189138e-05 #>  [1167,] 1.795725e-05 1.638187e-05 #>  [1168,] 1.746039e-05 1.414641e-05 #>  [1169,] 1.622077e-05 1.402893e-05 #>  [1170,] 1.835611e-05 1.706117e-05 #>  [1171,] 1.343693e-05 1.119013e-05 #>  [1172,] 7.883005e-05 2.174665e-05 #>  [1173,] 1.016039e-05 9.769871e-06 #>  [1174,] 1.387191e-05 2.326693e-05 #>  [1175,] 2.692004e-05 1.775420e-05 #>  [1176,] 1.271862e-05 1.227567e-05 #>  [1177,] 1.647793e-05 1.377480e-05 #>  [1178,] 1.602252e-05 1.266980e-05 #>  [1179,] 1.592762e-05 1.245761e-05 #>  [1180,] 1.575607e-05 1.279347e-05 #>  [1181,] 2.044989e-05 1.445952e-05 #>  [1182,] 1.994545e-05 1.395600e-05 #>  [1183,] 1.259258e-05 1.181536e-05 #>  [1184,] 2.205828e-05 2.104003e-05 #>  [1185,] 9.003246e-05 7.867605e-05 #>  [1186,] 9.490893e-06 1.010279e-05 #>  [1187,] 1.641793e-05 1.228902e-05 #>  [1188,] 2.307160e-05 1.836865e-05 #>  [1189,] 1.714208e-05 1.379850e-05 #>  [1190,] 1.997433e-05 1.476709e-05 #>  [1191,] 5.095335e-05 2.734308e-05 #>  [1192,] 1.743284e-04 2.270440e-05 #>  [1193,] 1.014859e-05 1.051441e-05 #>  [1194,] 2.557010e-05 2.801724e-05 #>  [1195,] 1.996565e-05 1.397467e-05 #>  [1196,] 2.663959e-05 2.186926e-05 #>  [1197,] 2.750998e-05 2.362113e-05 #>  [1198,] 1.707920e-05 1.356678e-05 #>  [1199,] 1.828870e-05 1.365648e-05 #>  [1200,] 2.806817e-05 3.108071e-05 #>  [1201,] 2.258154e-04 4.228391e-04 #>  [1202,] 1.684688e-05 1.524907e-05 #>  [1203,] 1.455980e-05 1.017358e-05 #>  [1204,] 7.877459e-05 6.532012e-05 #>  [1205,] 1.728779e-05 1.433055e-05 #>  [1206,] 5.646255e-05 1.676765e-05 #>  [1207,] 2.900880e-05 1.536510e-05 #>  [1208,] 5.786069e-05 6.393204e-05 #>  [1209,] 1.442716e-04 2.209077e-05 #>  [1210,] 2.303705e-05 1.563724e-05 #>  [1211,] 1.384376e-05 1.136893e-05 #>  [1212,] 2.416269e-05 1.513025e-05 #>  [1213,] 3.025494e-05 1.897061e-05 #>  [1214,] 1.181198e-04 1.954030e-04 #>  [1215,] 3.813147e-05 3.844635e-05 #>  [1216,] 1.273639e-04 5.800469e-05 #>  [1217,] 8.288418e-05 2.856014e-05 #>  [1218,] 1.692191e-05 1.647865e-05 #>  [1219,] 1.594711e-05 1.375157e-05 #>  [1220,] 1.638104e-05 1.813675e-05 #>  [1221,] 1.783363e-05 1.296135e-05 #>  [1222,] 1.896354e-05 1.978758e-05 #>  [1223,] 1.051243e-05 1.100509e-05 #>  [1224,] 3.505258e-05 1.084213e-04 #>  [1225,] 1.330481e-05 1.130067e-05 #>  [1226,] 3.070566e-04 3.772930e-05 #>  [1227,] 4.127893e-05 4.105295e-05 #>  [1228,] 1.302855e-04 1.774076e-05 #>  [1229,] 1.243971e-05 1.051890e-05 #>  [1230,] 1.472663e-05 1.267914e-05 #>  [1231,] 1.777073e-05 1.417117e-05 #>  [1232,] 2.044865e-05 1.663562e-05 #>  [1233,] 4.039453e-05 2.345193e-05 #>  [1234,] 1.500617e-05 1.279678e-05 #>  [1235,] 1.174297e-05 1.168681e-05 #>  [1236,] 1.778637e-05 2.404229e-05 #>  [1237,] 2.511188e-05 4.266015e-05 #>  [1238,] 1.141514e-05 1.044198e-05 #>  [1239,] 7.188435e-04 3.896929e-05 #>  [1240,] 1.167839e-05 1.112365e-05 #>  [1241,] 1.050654e-04 2.113966e-04 #>  [1242,] 4.980488e-05 6.543820e-05 #>  [1243,] 1.814965e-05 1.486872e-05 #>  [1244,] 3.337707e-05 1.527216e-05 #>  [1245,] 1.147554e-05 1.125724e-05 #>  [1246,] 1.156564e-05 1.039501e-05 #>  [1247,] 1.381404e-05 1.196923e-05 #>  [1248,] 2.172330e-05 1.684143e-05 #>  [1249,] 1.603548e-05 1.439744e-05 #>  [1250,] 1.653660e-05 9.258670e-05 #>  [1251,] 9.299126e-05 4.845484e-05 #>  [1252,] 1.797554e-05 1.311104e-05 #>  [1253,] 1.134718e-05 1.082904e-05 #>  [1254,] 1.687992e-05 1.438307e-05 #>  [1255,] 1.531786e-05 1.187834e-05 #>  [1256,] 2.658489e-05 1.807062e-05 #>  [1257,] 2.351651e-05 1.279125e-05 #>  [1258,] 1.712471e-05 1.618915e-05 #>  [1259,] 1.190087e-05 1.096297e-05 #>  [1260,] 8.184440e-05 4.034136e-05 #>  [1261,] 1.677003e-05 1.268256e-05 #>  [1262,] 2.212263e-05 1.704474e-05 #>  [1263,] 1.709985e-05 2.766888e-05 #>  [1264,] 1.349269e-05 1.031713e-05 #>  [1265,] 1.158259e-05 1.050487e-05 #>  [1266,] 1.715634e-05 1.528486e-05 #>  [1267,] 1.739324e-05 1.404708e-05 #>  [1268,] 1.424227e-05 1.204891e-05 #>  [1269,] 1.891321e-05 1.511575e-05 #>  [1270,] 5.348313e-05 9.205573e-05 #>  [1271,] 4.921870e-05 3.321785e-05 #>  [1272,] 5.870277e-05 5.240108e-05 #>  [1273,] 2.650190e-05 1.540194e-05 #>  [1274,] 1.667713e-05 1.453453e-05 #>  [1275,] 1.837551e-05 2.003035e-05 #>  [1276,] 1.734789e-05 1.466339e-05 #>  [1277,] 2.788221e-05 2.013064e-05 #>  [1278,] 3.229296e-05 2.628366e-05 #>  [1279,] 3.693816e-05 6.211050e-05 #>  [1280,] 1.328342e-05 1.181923e-05 #>  [1281,] 1.475185e-05 1.222410e-05 #>  [1282,] 1.575723e-05 1.283830e-05 #>  [1283,] 3.960622e-05 4.806574e-05 #>  [1284,] 1.512957e-05 1.225771e-05 #>  [1285,] 1.690764e-04 2.028315e-05 #>  [1286,] 2.099617e-05 1.620610e-05 #>  [1287,] 2.009828e-05 1.460793e-04 #>  [1288,] 1.948485e-05 1.380092e-05 #>  [1289,] 4.448691e-05 3.332569e-05 #>  [1290,] 2.757672e-05 2.287875e-05 #>  [1291,] 1.255925e-05 1.020442e-05 #>  [1292,] 1.592095e-05 1.239540e-05 #>  [1293,] 8.062399e-04 9.866693e-04 #>  [1294,] 4.571066e-05 2.421574e-05 #>  [1295,] 2.113156e-05 2.071146e-05 #>  [1296,] 1.874190e-05 1.679060e-05 #>  [1297,] 3.978419e-05 1.488374e-05 #>  [1298,] 8.308137e-05 2.199500e-05 #>  [1299,] 1.228075e-05 1.053311e-05 #>  [1300,] 3.274947e-05 1.580569e-05 #>  [1301,] 1.217221e-05 1.152128e-05 #>  [1302,] 1.682378e-05 1.322097e-05 #>  [1303,] 1.606236e-05 2.096042e-05 #>  [1304,] 2.594975e-05 1.518074e-05 #>  [1305,] 1.411630e-05 1.244995e-05 #>  [1306,] 1.684043e-05 1.282354e-05 #>  [1307,] 5.746991e-05 2.749853e-04 #>  [1308,] 1.326536e-05 1.123247e-05 #>  [1309,] 1.936125e-05 1.490459e-05 #>  [1310,] 1.201708e-05 1.599607e-05 #>  [1311,] 1.251226e-05 1.138514e-05 #>  [1312,] 1.214670e-05 1.105363e-05 #>  [1313,] 1.579938e-05 1.284615e-05 #>  [1314,] 1.540341e-05 1.168952e-05 #>  [1315,] 1.195523e-05 1.147906e-05 #>  [1316,] 4.638555e-05 2.364297e-05 #>  [1317,] 1.593218e-05 2.050967e-05 #>  [1318,] 1.078631e-04 6.582517e-05 #>  [1319,] 1.904406e-05 1.276913e-05 #>  [1320,] 1.153214e-03 8.024540e-04 #>  [1321,] 1.416281e-05 1.187350e-05 #>  [1322,] 1.724886e-05 1.495123e-05 #>  [1323,] 1.510660e-05 1.305329e-05 #>  [1324,] 1.380498e-05 1.549334e-05 #>  [1325,] 1.442577e-05 1.343922e-05 #>  [1326,] 8.982566e-05 7.817377e-05 #>  [1327,] 1.682895e-05 1.349949e-05 #>  [1328,] 6.086470e-05 7.185708e-05 #>  [1329,] 1.648947e-05 2.968279e-05 #>  [1330,] 2.013257e-05 1.312605e-05 #>  [1331,] 1.674363e-05 1.411760e-05 #>  [1332,] 3.329894e-05 2.367177e-05 #>  [1333,] 1.542583e-05 1.249108e-05 #>  [1334,] 1.458272e-05 1.318274e-05 #>  [1335,] 1.318046e-05 1.159448e-05 #>  [1336,] 1.912193e-05 1.689928e-05 #>  [1337,] 1.153872e-05 1.010559e-05 #>  [1338,] 1.675288e-05 2.127483e-05 #>  [1339,] 7.207439e-05 1.999495e-05 #>  [1340,] 2.429337e-05 1.764585e-05 #>  [1341,] 1.249554e-05 1.168790e-05 #>  [1342,] 1.437314e-05 1.475028e-05 #>  [1343,] 5.322202e-05 3.746685e-05 #>  [1344,] 1.901056e-05 1.858473e-05 #>  [1345,] 3.127364e-05 1.469523e-05 #>  [1346,] 1.872046e-05 1.379556e-05 #>  [1347,] 2.727894e-05 1.843511e-05 #>  [1348,] 4.607830e-05 6.560426e-05 #>  [1349,] 1.482704e-05 1.307190e-05 #>  [1350,] 1.868334e-05 1.523134e-05 #>  [1351,] 1.507051e-05 1.437249e-05 #>  [1352,] 3.168619e-05 1.823290e-05 #>  [1353,] 1.859237e-05 1.594552e-05 #>  [1354,] 3.815622e-05 5.785214e-05 #>  [1355,] 1.107249e-05 1.207492e-05 #>  [1356,] 2.821428e-05 2.472102e-05 #>  [1357,] 1.443429e-05 1.336705e-05 #>  [1358,] 1.543072e-05 1.283451e-05 #>  [1359,] 1.073118e-05 1.075971e-05 #>  [1360,] 4.205272e-05 1.276387e-05 #>  [1361,] 1.928094e-05 2.421024e-05 #>  [1362,] 1.256217e-05 1.030797e-05 #>  [1363,] 1.448317e-05 1.490527e-05 #>  [1364,] 2.376207e-05 1.686411e-05 #>  [1365,] 4.405113e-05 2.946343e-05 #>  [1366,] 1.233693e-05 1.050129e-05 #>  [1367,] 1.219454e-05 1.224556e-05 #>  [1368,] 2.250008e-05 1.497023e-05 #>  [1369,] 5.018984e-05 1.013312e-04 #>  [1370,] 1.210675e-05 1.278806e-05 #>  [1371,] 1.515079e-05 1.232321e-05 #>  [1372,] 2.594367e-05 2.010055e-05 #>  [1373,] 3.345118e-04 6.906467e-05 #>  [1374,] 2.106890e-05 2.613245e-05 #>  [1375,] 3.195806e-05 3.766130e-05 #>  [1376,] 2.330078e-05 3.869775e-05 #>  [1377,] 5.099597e-05 1.778247e-05 #>  [1378,] 2.678197e-05 2.056513e-05 #>  [1379,] 1.527369e-05 1.979856e-05 #>  [1380,] 1.579626e-05 1.423638e-05 #>  [1381,] 4.542287e-05 1.304938e-05 #>  [1382,] 2.161838e-05 2.233558e-05 #>  [1383,] 2.391797e-05 5.196281e-05 #>  [1384,] 1.706601e-05 1.364753e-05 #>  [1385,] 1.688660e-05 1.365274e-05 #>  [1386,] 8.227588e-05 1.712780e-04 #>  [1387,] 1.586210e-05 1.693413e-05 #>  [1388,] 1.650317e-05 1.436397e-05 #>  [1389,] 9.812778e-06 9.359262e-06 #>  [1390,] 1.684395e-05 1.495539e-05 #>  [1391,] 2.224155e-05 3.217504e-05 #>  [1392,] 2.266195e-05 1.453294e-05 #>  [1393,] 1.497613e-05 1.436955e-05 #>  [1394,] 4.054491e-05 8.153110e-05 #>  [1395,] 1.231747e-05 1.168957e-05 #>  [1396,] 1.620285e-05 1.681439e-05 #>  [1397,] 1.357231e-04 7.356370e-05 #>  [1398,] 1.946360e-05 1.428393e-05 #>  [1399,] 1.285283e-05 9.978921e-06 #>  [1400,] 1.442741e-05 1.200383e-05 #>  [1401,] 1.506512e-05 1.358117e-05 #>  [1402,] 1.568908e-05 1.124540e-05 #>  [1403,] 1.508233e-05 1.193151e-05 #>  [1404,] 1.592948e-05 1.283516e-05 #>  [1405,] 3.854087e-04 6.332815e-04 #>  [1406,] 1.627396e-05 1.277583e-05 #>  [1407,] 7.407840e-05 4.250463e-05 #>  [1408,] 2.432051e-05 1.676509e-05 #>  [1409,] 1.643478e-05 1.444574e-05 #>  [1410,] 1.293542e-05 1.098444e-05 #>  [1411,] 7.031996e-05 3.810161e-05 #>  [1412,] 3.230437e-05 1.959498e-05 #>  [1413,] 1.361685e-05 1.751333e-05 #>  [1414,] 1.456058e-05 1.331616e-05 #>  [1415,] 1.236501e-05 1.270216e-05 #>  [1416,] 1.624734e-05 1.433205e-05 #>  [1417,] 1.479936e-05 1.164511e-05 #>  [1418,] 1.331231e-05 1.242309e-05 #>  [1419,] 1.484338e-05 1.589038e-05 #>  [1420,] 1.455969e-05 1.255001e-05 #>  [1421,] 5.774218e-05 1.630456e-05 #>  [1422,] 2.531465e-05 1.553360e-05 #>  [1423,] 1.727632e-05 1.345886e-05 #>  [1424,] 1.808216e-04 2.442454e-05 #>  [1425,] 3.295423e-05 1.863137e-05 #>  [1426,] 1.406147e-05 1.217357e-05 #>  [1427,] 5.014824e-05 2.249157e-05 #>  [1428,] 1.262859e-05 1.200339e-05 #>  [1429,] 2.582018e-05 1.721329e-05 #>  [1430,] 1.862975e-05 1.320769e-05 #>  [1431,] 2.257570e-05 1.860929e-05 #>  [1432,] 1.500817e-05 4.682476e-04 #>  [1433,] 1.838836e-05 1.427117e-05 #>  [1434,] 1.155268e-05 1.104935e-05 #>  [1435,] 2.141033e-05 3.071584e-05 #>  [1436,] 1.775405e-04 5.132159e-05 #>  [1437,] 1.508085e-05 1.292152e-05 #>  [1438,] 1.150585e-05 1.041787e-05 #>  [1439,] 2.401324e-05 2.684790e-05 #>  [1440,] 1.590238e-04 2.468004e-05 #>  [1441,] 1.235208e-05 1.261626e-05 #>  [1442,] 1.234517e-05 1.086863e-05 #>  [1443,] 6.654011e-05 6.518363e-05 #>  [1444,] 1.395469e-05 1.956965e-05 #>  [1445,] 1.617660e-04 3.623130e-05 #>  [1446,] 1.662354e-05 2.120199e-05 #>  [1447,] 1.145414e-05 2.522003e-05 #>  [1448,] 1.250196e-05 1.181049e-05 #>  [1449,] 1.347879e-05 1.148739e-05 #>  [1450,] 1.200484e-05 1.127171e-05 #>  [1451,] 1.551296e-05 5.461849e-05 #>  [1452,] 1.157844e-05 1.094159e-05 #>  [1453,] 1.885396e-04 1.149544e-04 #>  [1454,] 1.671811e-05 1.593121e-05 #>  [1455,] 3.278395e-05 4.730618e-05 #>  [1456,] 1.555117e-05 1.236385e-05 #>  [1457,] 2.059562e-05 1.419926e-05 #>  [1458,] 1.426387e-05 1.152801e-05 #>  [1459,] 1.397982e-05 1.234660e-05 #>  [1460,] 2.001535e-05 1.364952e-05 #>  [1461,] 8.530357e-05 1.469903e-04 #>  [1462,] 1.411279e-05 1.204541e-05 #>  [1463,] 9.723584e-04 2.130112e-04 #>  [1464,] 2.504610e-05 1.584913e-05 #>  [1465,] 1.505058e-05 1.311367e-05 #>  [1466,] 1.822381e-05 1.839488e-05 #>  [1467,] 1.911007e-05 1.573480e-05 #>  [1468,] 1.347345e-05 1.155743e-05 #>  [1469,] 1.872648e-04 2.094309e-04 #>  [1470,] 1.691951e-05 1.430011e-05 #>  [1471,] 1.157919e-05 1.137582e-05 #>  [1472,] 1.588465e-05 1.202352e-05 #>  [1473,] 1.880788e-05 1.796301e-05 #>  [1474,] 2.244233e-05 2.195046e-04 #>  [1475,] 1.451449e-05 1.261006e-05 #>  [1476,] 1.428383e-05 1.325451e-05 #>  [1477,] 1.396713e-05 1.286162e-05 #>  [1478,] 1.048871e-05 1.092411e-05 #>  [1479,] 1.791611e-05 1.637659e-05 #>  [1480,] 4.942443e-05 2.394575e-04 #>  [1481,] 2.567121e-05 5.950719e-05 #>  [1482,] 2.173165e-05 1.211051e-05 #>  [1483,] 1.299106e-05 1.353904e-05 #>  [1484,] 1.155592e-04 1.294365e-04 #>  [1485,] 1.415824e-05 1.369508e-05 #>  [1486,] 1.558409e-05 1.319991e-05 #>  [1487,] 1.447969e-05 1.275258e-05 #>  [1488,] 1.065365e-05 9.862909e-06 #>  [1489,] 1.292462e-05 1.338853e-05 #>  [1490,] 1.549157e-05 1.244279e-05 #>  [1491,] 4.169764e-05 2.022309e-05 #>  [1492,] 5.288450e-05 2.346938e-05 #>  [1493,] 1.483009e-05 1.386565e-05 #>  [1494,] 4.605178e-05 4.413913e-05 #>  [1495,] 1.567525e-05 1.509955e-05 #>  [1496,] 2.915253e-05 1.929085e-04 #>  [1497,] 3.892819e-05 2.875278e-05 #>  [1498,] 2.535129e-04 4.771772e-04 #>  [1499,] 5.877297e-05 6.760502e-05 #>  [1500,] 1.953885e-05 3.035628e-05 #>  [1501,] 1.187673e-05 1.250608e-05 #>  [1502,] 1.980602e-05 1.474937e-05 #>  [1503,] 9.905608e-06 1.039502e-05 #>  [1504,] 2.093347e-05 1.725347e-05 #>  [1505,] 2.534394e-05 2.878151e-05 #>  [1506,] 7.582969e-05 1.121446e-04 #>  [1507,] 2.474360e-05 1.636087e-05 #>  [1508,] 1.742659e-05 1.345755e-05 #>  [1509,] 1.140531e-04 3.178299e-05 #>  [1510,] 2.114376e-05 5.934820e-05 #>  [1511,] 1.411779e-05 1.261999e-05 #>  [1512,] 1.681467e-05 1.465281e-05 #>  [1513,] 5.761771e-05 2.768322e-05 #>  [1514,] 1.729186e-05 1.587842e-05 #>  [1515,] 1.146471e-05 1.182405e-05 #>  [1516,] 2.333370e-05 3.584305e-05 #>  [1517,] 2.218109e-05 9.936403e-06 #>  [1518,] 1.265280e-05 1.099863e-05 #>  [1519,] 8.331926e-05 4.387508e-05 #>  [1520,] 1.668912e-05 1.769962e-05 #>  [1521,] 2.012451e-04 5.277016e-04 #>  [1522,] 2.710990e-05 1.231275e-04 #>  [1523,] 1.239998e-05 1.096730e-05 #>  [1524,] 1.529834e-05 1.173504e-05 #>  [1525,] 3.340454e-05 2.528671e-05 #>  [1526,] 1.331179e-05 1.209003e-05 #>  [1527,] 1.111350e-05 1.099002e-05 #>  [1528,] 1.420364e-05 1.211688e-05 #>  [1529,] 4.348916e-05 6.488866e-05 #>  [1530,] 1.698746e-05 1.374708e-05 #>  [1531,] 2.058946e-05 1.563304e-05 #>  [1532,] 6.657225e-04 7.809346e-05 #>  [1533,] 1.090416e-05 1.052740e-05 #>  [1534,] 3.348586e-05 1.392220e-05 #>  [1535,] 3.533038e-04 4.111536e-05 #>  [1536,] 2.035964e-05 1.442288e-05 #>  [1537,] 4.286181e-05 4.651560e-05 #>  [1538,] 1.576100e-05 1.402363e-05 #>  [1539,] 1.639019e-05 1.953904e-05 #>  [1540,] 1.221658e-05 9.958992e-06 #>  [1541,] 1.325416e-05 1.428224e-05 #>  [1542,] 2.330591e-05 1.663658e-05 #>  [1543,] 2.195726e-05 2.005299e-05 #>  [1544,] 6.998639e-05 3.569367e-04 #>  [1545,] 1.587078e-05 1.348222e-05 #>  [1546,] 1.737811e-05 1.509344e-05 #>  [1547,] 1.023935e-04 2.352458e-05 #>  [1548,] 1.782609e-05 1.390697e-05 #>  [1549,] 3.442628e-05 2.613609e-05 #>  [1550,] 1.744623e-05 1.218600e-05 #>  [1551,] 1.433999e-05 9.744090e-05 #>  [1552,] 1.807054e-05 1.500969e-05 #>  [1553,] 1.191017e-05 1.148212e-05 #>  [1554,] 1.420895e-05 1.573196e-05 #>  [1555,] 1.471005e-05 1.304416e-05 #>  [1556,] 2.324433e-05 4.898451e-05 #>  [1557,] 1.241637e-05 1.040859e-05 #>  [1558,] 1.670527e-05 1.402796e-05 #>  [1559,] 2.476681e-05 1.521188e-05 #>  [1560,] 1.982361e-05 1.520995e-05 #>  [1561,] 1.193207e-05 1.092107e-05 #>  [1562,] 2.331155e-05 1.445340e-05 #>  [1563,] 6.235032e-05 2.843515e-04 #>  [1564,] 2.599189e-05 8.641643e-05 #>  [1565,] 7.582402e-05 2.850930e-05 #>  [1566,] 1.339921e-05 1.218974e-05 #>  [1567,] 6.319879e-05 2.632117e-05 #>  [1568,] 1.435711e-05 1.293325e-05 #>  [1569,] 2.156854e-05 1.479130e-05 #>  [1570,] 1.421053e-04 2.717746e-05 #>  [1571,] 1.416893e-05 1.087661e-05 #>  [1572,] 1.666950e-05 1.271758e-05 #>  [1573,] 1.463445e-05 1.221267e-05 #>  [1574,] 1.448547e-05 1.397996e-05 #>  [1575,] 1.483164e-05 1.243225e-05 #>  [1576,] 1.792351e-05 1.505101e-05 #>  [1577,] 2.437107e-04 1.731341e-04 #>  [1578,] 2.731003e-05 2.445970e-05 #>  [1579,] 1.617407e-05 1.302478e-05 #>  [1580,] 1.460035e-05 1.255116e-05 #>  [1581,] 1.098094e-05 1.087567e-05 #>  [1582,] 1.749779e-05 1.671441e-05 #>  [1583,] 1.229295e-05 7.938038e-04 #>  [1584,] 1.827401e-05 2.423619e-05 #>  [1585,] 1.112451e-05 2.562937e-05 #>  [1586,] 1.602550e-05 1.238769e-05 #>  [1587,] 1.727502e-05 1.304719e-05 #>  [1588,] 1.723031e-05 1.459263e-05 #>  [1589,] 1.415778e-05 1.278875e-05 #>  [1590,] 2.442949e-05 1.457512e-05 #>  [1591,] 1.608232e-05 1.297340e-05 #>  [1592,] 1.963097e-05 1.606911e-05 #>  [1593,] 5.339313e-04 2.258537e-04 #>  [1594,] 1.557211e-05 1.258607e-05 #>  [1595,] 2.472851e-05 1.411231e-05 #>  [1596,] 1.045730e-05 1.091960e-05 #>  [1597,] 5.709537e-05 1.267465e-05 #>  [1598,] 6.227867e-04 1.671063e-04 #>  [1599,] 1.798351e-05 1.844368e-05 #>  [1600,] 1.029321e-05 9.889903e-06 #>  [1601,] 1.355836e-05 1.235303e-05 #>  [1602,] 4.061556e-05 2.274168e-05 #>  [1603,] 1.942679e-05 1.510731e-05 #>  [1604,] 1.071883e-05 1.129775e-05 #>  [1605,] 1.547600e-05 1.667856e-05 #>  [1606,] 1.107364e-05 1.174991e-05 #>  [1607,] 1.489991e-05 1.333141e-05 #>  [1608,] 1.872105e-05 1.413916e-05 #>  [1609,] 1.817103e-05 2.898319e-05 #>  [1610,] 1.471892e-05 1.371161e-05 #>  [1611,] 1.407606e-05 1.856964e-05 #>  [1612,] 1.166404e-05 1.042662e-05 #>  [1613,] 1.268125e-05 1.109685e-05 #>  [1614,] 1.445506e-05 1.312180e-05 #>  [1615,] 1.437123e-05 1.225624e-05 #>  [1616,] 1.053865e-05 9.776188e-06 #>  [1617,] 1.498866e-05 1.620334e-05 #>  [1618,] 1.752753e-05 2.344136e-05 #>  [1619,] 2.577961e-05 2.433781e-05 #>  [1620,] 1.146381e-03 5.063524e-04 #>  [1621,] 1.897290e-05 2.480153e-05 #>  [1622,] 3.301262e-05 4.513525e-05 #>  [1623,] 1.383151e-05 1.405318e-05 #>  [1624,] 1.088334e-03 8.177229e-04 #>  [1625,] 1.865991e-05 2.480917e-05 #>  [1626,] 1.519866e-05 1.406600e-05 #>  [1627,] 1.274054e-05 1.657198e-05 #>  [1628,] 8.520727e-04 1.030346e-03 #>  [1629,] 1.325576e-05 1.288276e-05 #>  [1630,] 3.836896e-05 2.002776e-05 #>  [1631,] 1.176772e-05 1.160306e-05 #>  [1632,] 1.354464e-05 1.036016e-05 #>  [1633,] 5.264330e-05 7.428069e-05 #>  [1634,] 1.713445e-05 1.593678e-05 #>  [1635,] 2.083032e-05 1.506481e-05 #>  [1636,] 1.168742e-05 1.122813e-05 #>  [1637,] 3.386455e-05 2.103067e-05 #>  [1638,] 2.077599e-05 1.637923e-05 #>  [1639,] 1.640041e-05 1.259791e-05 #>  [1640,] 1.262113e-05 1.108959e-05 #>  [1641,] 1.537307e-05 1.551311e-05 #>  [1642,] 3.646422e-05 3.783114e-05 #>  [1643,] 2.279018e-05 3.088885e-05 #>  [1644,] 1.643649e-05 1.319765e-05 #>  [1645,] 1.664294e-05 1.383929e-05 #>  [1646,] 2.039075e-05 1.513956e-05 #>  [1647,] 1.196535e-05 1.150989e-05 #>  [1648,] 1.319008e-05 1.094719e-05 #>  [1649,] 4.941872e-05 1.438969e-05 #>  [1650,] 1.100795e-05 1.058473e-05 #>  [1651,] 3.047882e-05 9.891928e-05 #>  [1652,] 1.254910e-05 1.045313e-05 #>  [1653,] 2.382326e-05 2.897083e-05 #>  [1654,] 2.090787e-05 1.659860e-05 #>  [1655,] 1.166842e-05 1.014946e-05 #>  [1656,] 1.681376e-05 1.506624e-05 #>  [1657,] 3.113578e-05 1.532585e-05 #>  [1658,] 2.034691e-05 1.815484e-05 #>  [1659,] 1.586735e-05 1.242516e-05 #>  [1660,] 1.859442e-05 1.508071e-05 #>  [1661,] 1.503908e-05 1.205037e-05 #>  [1662,] 1.440205e-04 2.887216e-05 #>  [1663,] 1.495292e-05 1.255424e-05 #>  [1664,] 1.470856e-05 1.303348e-05 #>  [1665,] 1.883535e-05 1.474254e-05 #>  [1666,] 4.890279e-05 8.324492e-05 #>  [1667,] 1.886766e-05 1.827569e-05 #>  [1668,] 2.261170e-05 1.350276e-05 #>  [1669,] 2.951188e-05 2.449211e-04 #>  [1670,] 3.841860e-05 8.077823e-05 #>  [1671,] 1.417171e-04 1.163701e-04 #>  [1672,] 6.162735e-05 1.084221e-04 #>  [1673,] 2.738094e-04 6.788799e-04 #>  [1674,] 3.551215e-05 1.786255e-05 #>  [1675,] 1.270576e-05 1.118858e-05 #>  [1676,] 5.199107e-05 3.288661e-05 #>  [1677,] 1.377577e-05 1.104962e-05 #>  [1678,] 1.602349e-05 1.254311e-05 #>  [1679,] 1.754960e-05 1.379219e-05 #>  [1680,] 1.492408e-05 1.333009e-05 #>  [1681,] 9.437315e-04 2.810172e-04 #>  [1682,] 1.336981e-05 1.039019e-05 #>  [1683,] 8.032323e-05 1.891692e-05 #>  [1684,] 1.794204e-05 1.332798e-05 #>  [1685,] 1.959480e-05 1.641418e-05 #>  [1686,] 1.720311e-05 1.403330e-05 #>  [1687,] 1.370888e-05 1.173882e-05 #>  [1688,] 1.985433e-05 1.357239e-05 #>  [1689,] 1.681667e-05 1.436569e-05 #>  [1690,] 1.294801e-05 1.173685e-05 #>  [1691,] 1.464291e-05 1.247730e-05 #>  [1692,] 1.746172e-05 1.285069e-05 #>  [1693,] 3.005356e-05 3.962918e-05 #>  [1694,] 3.194803e-05 1.602806e-05 #>  [1695,] 1.878454e-05 1.361978e-05 #>  [1696,] 2.040751e-05 1.843981e-05 #>  [1697,] 4.659537e-05 2.620331e-05 #>  [1698,] 2.564995e-05 1.703823e-05 #>  [1699,] 1.614052e-05 1.361863e-05 #>  [1700,] 1.437136e-05 1.423629e-05 #>  [1701,] 1.391221e-05 1.250771e-05 #>  [1702,] 2.049784e-05 1.481153e-05 #>  [1703,] 2.682687e-05 3.885623e-05 #>  [1704,] 1.718091e-05 1.370212e-05 #>  [1705,] 1.256069e-05 1.193210e-05 #>  [1706,] 2.916151e-05 1.658831e-04 #>  [1707,] 1.451380e-05 1.329789e-05 #>  [1708,] 4.545571e-05 1.620488e-04 #>  [1709,] 1.139599e-05 1.362300e-05 #>  [1710,] 2.471202e-05 2.118287e-05 #>  [1711,] 1.669043e-05 1.315700e-05 #>  [1712,] 6.696245e-05 2.655091e-05 #>  [1713,] 2.036143e-05 2.198338e-05 #>  [1714,] 1.365559e-05 1.177417e-05 #>  [1715,] 1.949764e-05 1.735872e-05 #>  [1716,] 1.254393e-05 1.175045e-05 #>  [1717,] 1.218702e-05 1.107662e-05 #>  [1718,] 1.515706e-05 1.457233e-05 #>  [1719,] 1.733009e-05 1.316840e-05 #>  [1720,] 1.597781e-05 1.320517e-05 #>  [1721,] 4.218269e-05 2.211343e-05 #>  [1722,] 1.688374e-05 1.306435e-05 #>  [1723,] 1.768513e-04 2.671583e-05 #>  [1724,] 2.214438e-05 1.442116e-05 #>  [1725,] 1.091105e-05 1.026669e-05 #>  [1726,] 2.372596e-05 4.794979e-05 #>  [1727,] 2.647104e-04 9.909586e-04 #>  [1728,] 2.397485e-05 1.581467e-05 #>  [1729,] 1.115674e-05 1.049153e-05 #>  [1730,] 1.325132e-05 1.105446e-05 #>  [1731,] 1.773153e-05 1.311262e-05 #>  [1732,] 1.682741e-05 1.521908e-05 #>  [1733,] 1.146478e-05 1.116329e-05 #>  [1734,] 1.350942e-05 1.092975e-05 #>  [1735,] 1.501996e-05 1.266250e-05 #>  [1736,] 3.083467e-05 2.113791e-05 #>  [1737,] 1.657408e-05 1.540366e-05 #>  [1738,] 3.268909e-05 2.579041e-05 #>  [1739,] 2.109791e-05 1.756667e-05 #>  [1740,] 1.529599e-05 1.305259e-05 #>  [1741,] 3.189322e-05 2.336826e-05 #>  [1742,] 1.065947e-05 1.036042e-05 #>  [1743,] 1.427424e-05 1.366559e-05 #>  [1744,] 3.508144e-05 3.864719e-05 #>  [1745,] 1.615547e-05 1.204473e-05 #>  [1746,] 1.630855e-05 1.559758e-05 #>  [1747,] 1.444424e-05 1.221792e-05 #>  [1748,] 2.613640e-05 1.311177e-05 #>  [1749,] 1.365657e-05 1.388415e-05 #>  [1750,] 2.207635e-05 1.319883e-05 #>  [1751,] 1.536179e-05 1.416098e-05 #>  [1752,] 4.714767e-05 2.777486e-05 #>  [1753,] 1.348304e-05 4.600540e-05 #>  [1754,] 2.147846e-05 1.476835e-05 #>  [1755,] 1.311960e-05 1.091685e-05 #>  [1756,] 1.835209e-05 1.450818e-05 #>  [1757,] 1.474080e-05 1.180941e-05 #>  [1758,] 8.224351e-05 4.595843e-05 #>  [1759,] 2.122146e-05 1.629332e-05 #>  [1760,] 1.730243e-05 1.424589e-05 #>  [1761,] 2.792635e-05 2.276221e-05 #>  [1762,] 3.519676e-05 3.342551e-05 #>  [1763,] 2.109952e-04 1.655634e-04 #>  [1764,] 1.485153e-05 1.190558e-05 #>  [1765,] 2.599995e-05 1.733960e-05 #>  [1766,] 1.816322e-05 1.747282e-05 #>  [1767,] 1.633998e-05 1.304749e-05 #>  [1768,] 3.995280e-05 5.651807e-05 #>  [1769,] 1.644371e-05 1.388385e-05 #>  [1770,] 1.440622e-05 1.399568e-05 #>  [1771,] 3.775894e-05 1.576581e-05 #>  [1772,] 1.837370e-05 1.512265e-05 #>  [1773,] 1.712998e-05 1.348924e-05 #>  [1774,] 8.425923e-05 4.147549e-05 #>  [1775,] 1.611592e-05 1.145505e-05 #>  [1776,] 1.720905e-05 1.353945e-05 #>  [1777,] 2.134950e-04 4.509622e-04 #>  [1778,] 4.992749e-05 5.372236e-05 #>  [1779,] 2.123965e-05 1.771521e-05 #>  [1780,] 1.199292e-05 1.240543e-05 #>  [1781,] 1.536844e-05 1.464092e-05 #>  [1782,] 5.190392e-05 1.868753e-05 #>  [1783,] 2.285723e-05 2.550891e-05 #>  [1784,] 1.511371e-05 1.522904e-05 #>  [1785,] 1.518078e-05 1.334769e-05 #>  [1786,] 4.587878e-05 6.186896e-05 #>  [1787,] 4.086920e-05 7.812502e-05 #>  [1788,] 1.327834e-05 1.119716e-05 #>  [1789,] 1.407139e-05 1.070675e-05 #>  [1790,] 1.373073e-05 1.056581e-05 #>  [1791,] 3.394938e-05 3.319565e-04 #>  [1792,] 1.584635e-04 1.872253e-04 #>  [1793,] 1.829435e-05 1.450547e-05 #>  [1794,] 1.748228e-05 1.350759e-05 #>  [1795,] 1.457028e-05 1.152261e-05 #>  [1796,] 2.445650e-05 1.685463e-05 #>  [1797,] 3.409674e-04 7.994934e-04 #>  [1798,] 2.105015e-05 4.284139e-05 #>  [1799,] 2.148041e-05 2.549212e-05 #>  [1800,] 3.168794e-05 2.048655e-05 #>  [1801,] 1.397160e-05 1.082810e-05 #>  [1802,] 1.875678e-05 1.457692e-05 #>  [1803,] 2.336789e-05 1.782373e-05 #>  [1804,] 1.581399e-05 1.227094e-05 #>  [1805,] 1.246508e-05 1.097310e-05 #>  [1806,] 3.542400e-05 1.843880e-05 #>  [1807,] 1.691896e-05 1.126981e-05 #>  [1808,] 1.758637e-05 3.143903e-05 #>  [1809,] 2.475944e-05 1.775367e-05 #>  [1810,] 1.961744e-05 3.914658e-05 #>  [1811,] 8.383718e-05 7.383511e-05 #>  [1812,] 2.446461e-05 1.700042e-05 #>  [1813,] 1.834401e-05 1.757763e-05 #>  [1814,] 1.615064e-05 1.404282e-05 #>  [1815,] 1.500392e-05 1.400101e-05 #>  [1816,] 2.816075e-05 1.931003e-05 #>  [1817,] 1.314531e-05 1.313512e-05 #>  [1818,] 1.300410e-05 1.078074e-05 #>  [1819,] 1.772655e-05 1.408426e-05 #>  [1820,] 1.598156e-05 1.347799e-05 #>  [1821,] 1.594978e-05 1.282486e-05 #>  [1822,] 1.586803e-05 1.423842e-05 #>  [1823,] 1.478705e-05 1.992403e-05 #>  [1824,] 1.712597e-05 4.542994e-05 #>  [1825,] 1.043590e-04 1.034820e-03 #>  [1826,] 1.251156e-05 1.245520e-05 #>  [1827,] 1.454052e-05 1.145272e-05 #>  [1828,] 1.964264e-05 1.374357e-05 #>  [1829,] 1.397529e-05 1.539858e-05 #>  [1830,] 2.363669e-05 2.062944e-05 #>  [1831,] 1.201460e-05 1.270205e-05 #>  [1832,] 1.064792e-05 1.004248e-05 #>  [1833,] 5.255707e-05 1.946431e-05 #>  [1834,] 2.694537e-05 3.296342e-05 #>  [1835,] 1.702701e-05 1.484954e-05 #>  [1836,] 1.269129e-05 1.341357e-05 #>  [1837,] 1.447242e-05 1.319333e-05 #>  [1838,] 5.876910e-04 1.006223e-03 #>  [1839,] 1.507298e-05 1.358301e-05 #>  [1840,] 1.783087e-05 1.552118e-05 #>  [1841,] 2.747833e-05 1.900701e-05 #>  [1842,] 1.148997e-05 9.940667e-06 #>  [1843,] 1.320400e-05 1.279745e-05 #>  [1844,] 1.489014e-05 1.537650e-05 #>  [1845,] 1.689309e-05 1.675751e-05 #>  [1846,] 2.670803e-05 2.472868e-05 #>  [1847,] 2.981031e-05 3.303767e-05 #>  [1848,] 1.177074e-05 1.110577e-05 #>  [1849,] 1.193731e-05 1.225246e-05 #>  [1850,] 1.415869e-05 1.276012e-05 #>  [1851,] 1.479575e-05 1.295101e-05 #>  [1852,] 1.229978e-05 1.468179e-05 #>  [1853,] 1.381155e-05 1.281276e-05 #>  [1854,] 1.394966e-05 1.654421e-05 #>  [1855,] 2.976760e-05 2.557381e-05 #>  [1856,] 1.401645e-05 1.391754e-05 #>  [1857,] 1.048824e-04 3.328222e-05 #>  [1858,] 1.365164e-05 1.415431e-05 #>  [1859,] 1.674090e-05 1.335225e-05 #>  [1860,] 6.549555e-05 1.502701e-05 #>  [1861,] 3.292994e-04 3.231263e-05 #>  [1862,] 1.076641e-05 1.054945e-05 #>  [1863,] 1.398002e-05 1.229935e-05 #>  [1864,] 2.938108e-04 4.332900e-05 #>  [1865,] 1.543039e-05 1.290650e-05 #>  [1866,] 2.025525e-05 1.696272e-05 #>  [1867,] 1.185265e-05 1.168345e-05 #>  [1868,] 7.776046e-04 7.270528e-04 #>  [1869,] 1.691142e-05 1.254387e-05 #>  [1870,] 5.489854e-05 1.636246e-05 #>  [1871,] 5.762025e-05 1.874944e-05 #>  [1872,] 1.353258e-05 1.679979e-05 #>  [1873,] 2.344837e-05 1.735943e-05 #>  [1874,] 4.943762e-05 3.349397e-05 #>  [1875,] 1.832879e-05 1.429419e-05 #>  [1876,] 1.339881e-04 2.387811e-04 #>  [1877,] 1.623079e-05 1.433365e-05 #>  [1878,] 1.908343e-05 1.442420e-05 #>  [1879,] 1.476178e-05 2.009932e-05 #>  [1880,] 1.318771e-05 1.349923e-05 #>  [1881,] 1.164027e-05 1.085184e-05 #>  [1882,] 1.591644e-05 1.273802e-05 #>  [1883,] 1.613902e-05 1.337219e-05 #>  [1884,] 6.860139e-05 5.052187e-05 #>  [1885,] 1.670157e-04 1.542405e-05 #>  [1886,] 2.324744e-05 1.631947e-05 #>  [1887,] 6.038107e-05 1.533255e-05 #>  [1888,] 1.628113e-05 1.390609e-05 #>  [1889,] 2.494774e-05 4.170038e-05 #>  [1890,] 6.901616e-04 4.709364e-04 #>  [1891,] 9.649077e-05 6.538435e-05 #>  [1892,] 1.383436e-05 1.328539e-05 #>  [1893,] 1.379073e-05 1.216420e-05 #>  [1894,] 1.550812e-05 1.351862e-05 #>  [1895,] 2.120129e-05 1.434007e-05 #>  [1896,] 1.169332e-05 1.232011e-05 #>  [1897,] 2.414584e-05 1.835770e-05 #>  [1898,] 1.289287e-05 1.124374e-05 #>  [1899,] 1.794115e-05 1.332706e-05 #>  [1900,] 1.805947e-05 1.382511e-05 #>  [1901,] 1.279705e-05 1.182545e-05 #>  [1902,] 1.363701e-05 1.163801e-05 #>  [1903,] 1.368930e-05 1.181320e-05 #>  [1904,] 1.631259e-05 1.202018e-05 #>  [1905,] 1.431719e-05 1.586359e-05 #>  [1906,] 1.479682e-05 1.230926e-05 #>  [1907,] 1.754980e-05 1.385903e-05 #>  [1908,] 9.841816e-04 3.349747e-04 #>  [1909,] 2.015741e-04 8.040597e-05 #>  [1910,] 1.559601e-05 1.206365e-05 #>  [1911,] 5.936545e-05 1.347149e-04 #>  [1912,] 1.615827e-05 1.450782e-05 #>  [1913,] 3.092579e-05 4.687805e-05 #>  [1914,] 1.253084e-05 1.128904e-05 #>  [1915,] 6.086567e-05 3.301297e-05 #>  [1916,] 5.557852e-04 2.080354e-04 #>  [1917,] 2.609522e-05 3.246984e-05 #>  [1918,] 1.879172e-05 1.974604e-05 #>  [1919,] 3.970768e-05 3.594186e-04 #>  [1920,] 6.266628e-05 3.104890e-05 #>  [1921,] 1.434926e-05 1.533521e-05 #>  [1922,] 1.636086e-05 1.692371e-05 #>  [1923,] 2.138534e-05 1.586604e-05 #>  [1924,] 1.161647e-05 1.139526e-05 #>  [1925,] 1.848823e-05 6.682520e-05 #>  [1926,] 1.195122e-05 1.228190e-05 #>  [1927,] 1.251077e-05 1.106990e-05 #>  [1928,] 1.479310e-05 1.432551e-05 #>  [1929,] 1.220782e-05 1.017535e-05 #>  [1930,] 2.375338e-05 1.315301e-05 #>  [1931,] 1.766321e-05 1.358725e-05 #>  [1932,] 1.136349e-05 1.119717e-05 #>  [1933,] 1.083012e-04 1.286468e-04 #>  [1934,] 1.736741e-05 9.478970e-05 #>  [1935,] 1.395987e-05 1.033059e-05 #>  [1936,] 1.684596e-05 1.906380e-05 #>  [1937,] 1.406755e-05 1.754777e-05 #>  [1938,] 2.061084e-05 4.720469e-05 #>  [1939,] 1.252088e-05 1.117095e-05 #>  [1940,] 1.409542e-05 1.160378e-05 #>  [1941,] 5.322080e-05 3.760878e-05 #>  [1942,] 4.038339e-05 4.543731e-05 #>  [1943,] 1.435395e-05 1.550955e-05 #>  [1944,] 3.822023e-05 1.698272e-05 #>  [1945,] 3.372643e-05 2.486590e-05 #>  [1946,] 1.943689e-05 1.565375e-05 #>  [1947,] 1.918631e-05 1.626130e-05 #>  [1948,] 1.480149e-05 1.340269e-05 #>  [1949,] 1.726508e-05 1.407859e-05 #>  [1950,] 2.199944e-05 2.411683e-05 #>  [1951,] 1.355652e-05 1.051308e-05 #>  [1952,] 1.405060e-05 1.375321e-05 #>  [1953,] 4.292596e-05 4.685248e-05 #>  [1954,] 1.619460e-05 1.815878e-05 #>  [1955,] 1.355894e-05 1.220597e-05 #>  [1956,] 1.325067e-05 1.098004e-05 #>  [1957,] 1.953819e-05 1.193756e-05 #>  [1958,] 1.504903e-05 1.469546e-05 #>  [1959,] 6.060421e-05 1.240442e-05 #>  [1960,] 1.925421e-05 1.342155e-04 #>  [1961,] 3.118691e-05 1.219890e-05 #>  [1962,] 1.428562e-05 1.316321e-05 #>  [1963,] 1.518127e-05 1.482756e-05 #>  [1964,] 1.167905e-05 1.223792e-05 #>  [1965,] 1.724082e-05 2.214842e-05 #>  [1966,] 1.791802e-05 1.534349e-05 #>  [1967,] 2.612491e-05 2.572082e-05 #>  [1968,] 2.749629e-05 1.784708e-05 #>  [1969,] 1.191752e-05 1.052442e-05 #>  [1970,] 2.288562e-05 6.309862e-05 #>  [1971,] 1.367415e-05 1.119691e-05 #>  [1972,] 1.396367e-05 1.147258e-05 #>  [1973,] 1.575252e-05 1.246637e-05 #>  [1974,] 1.245801e-05 1.126467e-05 #>  [1975,] 1.598061e-05 1.316431e-05 #>  [1976,] 5.534296e-05 4.857487e-05 #>  [1977,] 1.339918e-05 1.105078e-05 #>  [1978,] 1.831381e-05 1.374375e-05 #>  [1979,] 1.746877e-05 1.648397e-05 #>  [1980,] 2.269870e-05 2.484939e-05 #>  [1981,] 1.790814e-05 1.858743e-05 #>  [1982,] 1.435801e-05 1.352056e-05 #>  [1983,] 1.883486e-05 1.514786e-05 #>  [1984,] 1.450249e-05 1.686016e-05 #>  [1985,] 6.710746e-04 9.810290e-04 #>  [1986,] 1.347811e-05 1.119443e-05 #>  [1987,] 1.055798e-05 9.849944e-06 #>  [1988,] 1.274141e-05 1.110586e-05 #>  [1989,] 2.220006e-05 1.729897e-05 #>  [1990,] 1.150585e-05 1.090391e-05 #>  [1991,] 1.595243e-05 1.474198e-05 #>  [1992,] 1.511396e-05 1.424577e-05 #>  [1993,] 2.205930e-05 1.810236e-05 #>  [1994,] 2.358627e-05 1.385572e-05 #>  [1995,] 2.601391e-05 1.618879e-05 #>  [1996,] 1.414339e-05 1.286277e-05 #>  [1997,] 4.705644e-05 1.753123e-05 #>  [1998,] 6.765651e-05 2.694351e-04 #>  [1999,] 1.216881e-05 1.281290e-05 #>  [2000,] 1.128582e-05 1.161367e-05 #>  [2001,] 1.545021e-05 2.054923e-05 #>  [2002,] 1.432180e-05 1.253300e-05 #>  [2003,] 1.240347e-05 1.129443e-05 #>  [2004,] 2.112587e-05 1.659126e-05 #>  [2005,] 5.301243e-05 1.177955e-04 #>  [2006,] 2.188541e-05 1.531661e-05 #>  [2007,] 2.560082e-05 1.645827e-05 #>  [2008,] 1.531533e-05 1.385601e-05 #>  [2009,] 2.193606e-05 2.832214e-05 #>  [2010,] 1.397132e-05 1.191501e-05 #>  [2011,] 1.715848e-05 1.267079e-05 #>  [2012,] 1.609404e-05 1.531651e-05 #>  [2013,] 2.558645e-05 1.431138e-05 #>  [2014,] 2.755150e-05 2.716085e-05 #>  [2015,] 1.892701e-05 1.643378e-05 #>  [2016,] 1.601195e-04 1.393413e-04 #>  [2017,] 1.051513e-05 1.047590e-05 #>  [2018,] 1.946582e-05 1.097553e-05 #>  [2019,] 7.004308e-05 6.575635e-05 #>  [2020,] 2.541044e-05 6.094023e-05 #>  [2021,] 2.099399e-05 6.595309e-05 #>  [2022,] 8.039157e-05 1.647127e-05 #>  [2023,] 1.850480e-05 1.234532e-05 #>  [2024,] 1.683341e-05 1.406232e-05 #>  [2025,] 7.504800e-05 1.784984e-05 #>  [2026,] 5.138558e-05 4.973430e-05 #>  [2027,] 1.179143e-05 1.024052e-05 #>  [2028,] 1.756418e-05 1.595976e-05 #>  [2029,] 1.881182e-05 1.843027e-05 #>  [2030,] 1.264375e-05 2.654441e-05 #>  [2031,] 1.264166e-05 1.272300e-05 #>  [2032,] 1.883939e-05 1.412715e-05 #>  [2033,] 1.662546e-05 1.330662e-05 #>  [2034,] 1.125180e-05 1.212840e-05 #>  [2035,] 1.947085e-05 1.362263e-05 #>  [2036,] 1.936718e-05 1.558588e-05 #>  [2037,] 1.233939e-05 1.262883e-05 #>  [2038,] 1.544265e-05 2.107018e-05 #>  [2039,] 2.125381e-05 1.821523e-05 #>  [2040,] 1.688920e-05 1.157162e-05 #>  [2041,] 1.510451e-05 1.225999e-05 #>  [2042,] 1.669693e-05 2.773932e-05 #>  [2043,] 2.193824e-05 1.769524e-05 #>  [2044,] 1.639775e-05 1.313072e-05 #>  [2045,] 1.144223e-05 1.128271e-05 #>  [2046,] 2.460866e-05 2.002539e-05 #>  [2047,] 1.723926e-05 1.769793e-05 #>  [2048,] 2.642736e-05 2.959476e-05 #>  [2049,] 1.758402e-05 1.335057e-05 #>  [2050,] 1.415000e-05 1.200456e-05 #>  [2051,] 1.290025e-05 1.166611e-05 #>  [2052,] 1.416326e-05 1.261565e-05 #>  [2053,] 1.896369e-05 1.910111e-05 #>  [2054,] 1.951026e-05 1.494561e-05 #>  [2055,] 1.771169e-05 1.389901e-05 #>  [2056,] 1.600432e-05 1.118043e-05 #>  [2057,] 2.159164e-05 1.526638e-05 #>  [2058,] 1.567207e-04 2.588796e-05 #>  [2059,] 1.687010e-05 1.173328e-05 #>  [2060,] 1.531213e-05 1.198534e-05 #>  [2061,] 2.985538e-05 4.440052e-05 #>  [2062,] 1.242326e-05 1.157232e-05 #>  [2063,] 1.537033e-05 1.303879e-05 #>  [2064,] 1.300172e-05 1.277448e-05 #>  [2065,] 1.404860e-05 1.245314e-05 #>  [2066,] 3.104167e-05 4.214209e-05 #>  [2067,] 2.439665e-05 1.655595e-05 #>  [2068,] 1.831557e-05 1.403825e-05 #>  [2069,] 1.696243e-05 1.277339e-05 #>  [2070,] 3.020302e-05 1.228472e-05 #>  [2071,] 2.577925e-05 1.466971e-05 #>  [2072,] 1.291753e-05 1.096666e-05 #>  [2073,] 1.903173e-05 1.719207e-05 #>  [2074,] 2.003772e-05 1.642178e-05 #>  [2075,] 1.147110e-05 1.217789e-05 #>  [2076,] 1.935198e-05 1.355772e-05 #>  [2077,] 4.788377e-05 5.170528e-05 #>  [2078,] 1.559357e-05 1.555947e-05 #>  [2079,] 2.005693e-05 1.551806e-05 #>  [2080,] 1.236264e-05 3.138519e-05 #>  [2081,] 1.199431e-05 1.274009e-05 #>  [2082,] 5.180182e-05 3.029918e-05 #>  [2083,] 1.721839e-05 1.554506e-05 #>  [2084,] 1.553719e-05 1.379797e-05 #>  [2085,] 4.476265e-05 2.773197e-05 #>  [2086,] 1.800210e-05 1.374787e-05 #>  [2087,] 1.726877e-05 2.449030e-05 #>  [2088,] 1.235186e-04 8.410892e-05 #>  [2089,] 2.329073e-04 1.027872e-04 #>  [2090,] 1.737852e-05 1.442298e-05 #>  [2091,] 1.678102e-05 1.620353e-05 #>  [2092,] 1.591183e-05 1.207810e-05 #>  [2093,] 1.190207e-04 1.122539e-04 #>  [2094,] 1.484853e-05 1.433490e-05 #>  [2095,] 2.234170e-05 1.314149e-05 #>  [2096,] 1.320227e-05 1.618465e-05 #>  [2097,] 1.677410e-05 1.274113e-05 #>  [2098,] 1.212025e-05 1.757038e-05 #>  [2099,] 1.446970e-05 2.188441e-05 #>  [2100,] 1.841572e-05 1.407542e-05 #>  [2101,] 4.456946e-05 2.263509e-05 #>  [2102,] 1.244853e-05 1.338033e-05 #>  [2103,] 1.629695e-05 1.374708e-05 #>  [2104,] 1.582227e-05 1.254189e-05 #>  [2105,] 1.730993e-05 1.411244e-05 #>  [2106,] 2.562441e-05 2.400820e-05 #>  [2107,] 1.660052e-05 1.368299e-05 #>  [2108,] 1.651988e-05 2.066239e-05 #>  [2109,] 1.553374e-05 1.417624e-05 #>  [2110,] 1.785830e-05 1.329478e-05 #>  [2111,] 1.558783e-05 1.616873e-05 #>  [2112,] 1.764131e-05 1.412464e-05 #>  [2113,] 1.615807e-05 1.500113e-05 #>  [2114,] 1.541983e-05 1.432464e-05 #>  [2115,] 1.465869e-05 1.293525e-05 #>  [2116,] 2.255238e-05 2.037226e-05 #>  [2117,] 6.630025e-04 9.565882e-04 #>  [2118,] 1.405207e-05 1.115219e-05 #>  [2119,] 1.798682e-05 1.515842e-05 #>  [2120,] 1.488283e-04 2.932881e-05 #>  [2121,] 1.274283e-05 1.181007e-05 #>  [2122,] 1.516359e-05 3.117640e-05 #>  [2123,] 1.783967e-05 1.635439e-05 #>  [2124,] 2.497825e-05 4.929075e-05 #>  [2125,] 1.914577e-05 2.057851e-05 #>  [2126,] 1.300883e-05 1.324781e-05 #>  [2127,] 1.844426e-05 1.469023e-05 #>  [2128,] 1.914873e-05 3.472438e-05 #>  [2129,] 3.465169e-05 3.754437e-05 #>  [2130,] 2.137884e-05 1.735802e-05 #>  [2131,] 1.884083e-05 1.496339e-05 #>  [2132,] 1.680450e-05 1.508868e-05 #>  [2133,] 3.241278e-05 5.863214e-05 #>  [2134,] 3.507518e-05 1.444803e-05 #>  [2135,] 1.352019e-05 1.112770e-05 #>  [2136,] 6.009707e-05 1.528192e-05 #>  [2137,] 1.504209e-05 1.287322e-05 #>  [2138,] 1.967867e-05 1.539327e-05 #>  [2139,] 5.844649e-05 2.617176e-05 #>  [2140,] 6.844558e-05 2.869162e-05 #>  [2141,] 2.071577e-05 1.190727e-05 #>  [2142,] 2.052849e-05 3.356837e-05 #>  [2143,] 1.784698e-05 1.498389e-05 #>  [2144,] 2.543339e-05 1.927216e-05 #>  [2145,] 1.775205e-05 1.467800e-05 #>  [2146,] 1.578741e-05 1.612959e-05 #>  [2147,] 3.680961e-04 4.072157e-04 #>  [2148,] 1.572638e-05 1.290239e-05 #>  [2149,] 1.410063e-05 1.758760e-05 #>  [2150,] 2.542002e-05 1.997254e-05 #>  [2151,] 7.010001e-05 7.087569e-05 #>  [2152,] 1.045241e-05 1.050444e-05 #>  [2153,] 1.361826e-05 1.693114e-05 #>  [2154,] 2.075518e-05 1.728210e-05 #>  [2155,] 2.485186e-04 1.720395e-05 #>  [2156,] 2.260085e-05 1.575814e-05 #>  [2157,] 3.068954e-05 1.284577e-05 #>  [2158,] 3.182170e-05 3.141494e-05 #>  [2159,] 1.362526e-05 1.065227e-05 #>  [2160,] 1.481568e-05 1.197264e-05 #>  [2161,] 1.590449e-05 1.345347e-05 #>  [2162,] 2.229967e-05 1.517938e-05 #>  [2163,] 1.186326e-05 1.103779e-05 #>  [2164,] 1.259282e-05 1.223980e-05 #>  [2165,] 1.431011e-05 1.282908e-05 #>  [2166,] 2.436840e-05 3.413793e-05 #>  [2167,] 1.746440e-04 1.931976e-04 #>  [2168,] 1.964149e-05 1.772665e-05 #>  [2169,] 1.476772e-05 1.323489e-05 #>  [2170,] 4.265234e-05 2.389980e-05 #>  [2171,] 1.388410e-05 1.256710e-05 #>  [2172,] 1.338995e-05 1.370812e-05 #>  [2173,] 4.703609e-05 3.264142e-05 #>  [2174,] 1.227457e-04 1.012467e-03 #>  [2175,] 1.922149e-05 3.887268e-05 #>  [2176,] 1.424752e-05 1.276282e-05 #>  [2177,] 1.855490e-05 1.300840e-05 #>  [2178,] 1.374107e-05 1.481186e-05 #>  [2179,] 1.540469e-05 1.243894e-05 #>  [2180,] 1.010287e-04 4.423349e-05 #>  [2181,] 4.028965e-04 1.756718e-04 #>  [2182,] 1.965687e-05 2.800843e-05 #>  [2183,] 1.562014e-05 1.309402e-05 #>  [2184,] 1.719210e-05 1.442897e-05 #>  [2185,] 1.106257e-05 1.174579e-05 #>  [2186,] 1.594173e-05 1.279992e-05 #>  [2187,] 1.356543e-05 1.243097e-05 #>  [2188,] 1.820158e-05 4.745298e-05 #>  [2189,] 1.517188e-05 1.288420e-05 #>  [2190,] 2.849663e-05 2.917520e-05 #>  [2191,] 1.755271e-05 1.396891e-05 #>  [2192,] 1.969144e-05 1.938561e-05 #>  [2193,] 1.453046e-05 1.260590e-05 #>  [2194,] 1.949782e-05 1.557098e-05 #>  [2195,] 5.189019e-05 5.623967e-05 #>  [2196,] 3.854332e-05 2.599294e-05 #>  [2197,] 6.049301e-05 1.856287e-05 #>  [2198,] 9.219856e-04 4.729308e-05 #>  [2199,] 2.012872e-05 4.700112e-05 #>  [2200,] 4.340510e-05 2.629462e-05 #>  [2201,] 2.890055e-05 2.303712e-05 #>  [2202,] 2.102994e-05 1.885784e-05 #>  [2203,] 1.581899e-05 1.465447e-05 #>  [2204,] 3.398120e-05 1.663472e-05 #>  [2205,] 1.322200e-05 1.205320e-05 #>  [2206,] 1.303509e-05 1.268978e-05 #>  [2207,] 1.068850e-04 5.321121e-05 #>  [2208,] 2.964539e-05 2.500785e-05 #>  [2209,] 2.438908e-05 5.910905e-05 #>  [2210,] 6.063949e-05 6.259669e-05 #>  [2211,] 1.453641e-05 1.284353e-05 #>  [2212,] 2.036335e-04 1.070136e-03 #>  [2213,] 1.529183e-05 3.827094e-05 #>  [2214,] 2.102170e-05 3.322971e-05 #>  [2215,] 3.344162e-04 2.460790e-04 #>  [2216,] 2.605930e-05 3.588890e-05 #>  [2217,] 1.581732e-04 5.186782e-04 #>  [2218,] 2.284506e-05 1.892333e-05 #>  [2219,] 1.225769e-05 1.095296e-05 #>  [2220,] 1.528913e-05 1.116539e-05 #>  [2221,] 1.295603e-05 1.271603e-05 #>  [2222,] 7.948372e-05 1.587353e-05 #>  [2223,] 1.162499e-05 1.086099e-05 #>  [2224,] 1.668486e-05 1.918363e-05 #>  [2225,] 4.263558e-05 2.615848e-05 #>  [2226,] 7.464435e-05 4.710027e-05 #>  [2227,] 1.079715e-05 1.034823e-05 #>  [2228,] 1.289531e-05 1.114324e-05 #>  [2229,] 1.447484e-05 1.355800e-05 #>  [2230,] 1.513504e-05 2.275415e-05 #>  [2231,] 1.438065e-05 1.426882e-05 #>  [2232,] 1.241539e-05 1.008343e-05 #>  [2233,] 1.970588e-05 2.267606e-05 #>  [2234,] 1.656075e-05 3.080105e-05 #>  [2235,] 2.755404e-05 6.243423e-05 #>  [2236,] 2.439172e-05 2.271991e-05 #>  [2237,] 1.435111e-05 1.405270e-05 #>  [2238,] 3.389958e-05 2.443105e-05 #>  [2239,] 6.461214e-05 1.930813e-05 #>  [2240,] 1.252916e-05 1.389195e-05 #>  [2241,] 1.358405e-05 1.120091e-05 #>  [2242,] 1.452816e-05 1.285584e-05 #>  [2243,] 1.634148e-05 4.625789e-05 #>  [2244,] 1.969239e-05 1.469786e-05 #>  [2245,] 1.520805e-05 1.594946e-05 #>  [2246,] 4.223457e-05 1.704028e-05 #>  [2247,] 1.307369e-05 1.223556e-05 #>  [2248,] 1.030036e-05 1.058395e-05 #>  [2249,] 1.219466e-05 1.213936e-05 #>  [2250,] 1.172688e-05 1.291975e-05 #>  [2251,] 2.139125e-05 1.313959e-05 #>  [2252,] 7.195225e-05 3.892569e-05 #>  [2253,] 4.631614e-04 1.187475e-04 #>  [2254,] 1.680407e-05 1.130688e-05 #>  [2255,] 1.800425e-05 2.067465e-05 #>  [2256,] 2.253887e-05 4.743307e-05 #>  [2257,] 1.138202e-05 1.079879e-05 #>  [2258,] 1.036517e-04 5.625799e-05 #>  [2259,] 2.001369e-05 1.557281e-05 #>  [2260,] 1.129963e-05 1.311031e-05 #>  [2261,] 2.420881e-05 2.601904e-05 #>  [2262,] 1.079604e-05 1.066540e-05 #>  [2263,] 2.481039e-04 2.184658e-04 #>  [2264,] 5.633710e-05 4.125505e-05 #>  [2265,] 1.597353e-05 1.242594e-05 #>  [2266,] 9.409997e-05 8.183120e-05 #>  [2267,] 4.243275e-05 6.184510e-04 #>  [2268,] 1.971347e-05 1.199401e-05 #>  [2269,] 2.151521e-05 1.274551e-05 #>  [2270,] 2.853329e-05 1.689490e-05 #>  [2271,] 4.746465e-05 3.756340e-05 #>  [2272,] 2.645911e-04 1.174319e-03 #>  [2273,] 1.734226e-05 1.481128e-05 #>  [2274,] 2.081243e-05 2.519108e-05 #>  [2275,] 1.396180e-05 1.284544e-05 #>  [2276,] 3.440626e-05 1.505510e-05 #>  [2277,] 1.424456e-05 1.202040e-05 #>  [2278,] 1.447913e-05 1.368126e-05 #>  [2279,] 2.283911e-05 1.779474e-05 #>  [2280,] 1.262135e-05 1.173361e-05 #>  [2281,] 1.329029e-05 1.125422e-05 #>  [2282,] 1.585823e-05 1.506634e-05 #>  [2283,] 1.805151e-05 2.356334e-05 #>  [2284,] 1.495597e-05 1.333593e-05 #>  [2285,] 1.556085e-05 1.938036e-05 #>  [2286,] 1.733037e-05 1.443740e-05 #>  [2287,] 2.857220e-04 3.189670e-04 #>  [2288,] 2.402936e-05 1.622987e-05 #>  [2289,] 1.070914e-05 9.966307e-06 #>  [2290,] 1.393956e-05 1.215955e-05 #>  [2291,] 1.597665e-05 1.507607e-05 #>  [2292,] 1.443416e-05 1.181324e-05 #>  [2293,] 1.312768e-05 1.100878e-05 #>  [2294,] 2.398550e-05 1.786450e-05 #>  [2295,] 1.223493e-05 1.000289e-05 #>  [2296,] 3.258553e-05 2.006092e-05 #>  [2297,] 2.148041e-05 1.561356e-05 #>  [2298,] 1.280642e-05 1.180847e-05 #>  [2299,] 1.906229e-05 4.645944e-05 #>  [2300,] 1.570325e-05 1.297910e-05 #>  [2301,] 1.512542e-05 1.214209e-05 #>  [2302,] 3.639970e-05 1.886808e-05 #>  [2303,] 1.785505e-05 1.339442e-05 #>  [2304,] 2.054563e-05 1.862807e-05 #>  [2305,] 1.378474e-05 1.200359e-05 #>  [2306,] 2.359035e-05 5.017316e-05 #>  [2307,] 2.691608e-05 1.669459e-05 #>  [2308,] 1.831922e-05 1.719647e-05 #>  [2309,] 1.983309e-05 2.587494e-05 #>  [2310,] 1.462489e-05 1.183063e-05 #>  [2311,] 1.649761e-05 1.713311e-05 #>  [2312,] 1.778640e-05 1.424579e-05 #>  [2313,] 1.361852e-05 7.657512e-05 #>  [2314,] 1.371595e-05 1.244279e-05 #>  [2315,] 1.154495e-05 1.184190e-05 #>  [2316,] 1.383557e-05 1.677144e-05 #>  [2317,] 2.262873e-05 2.633243e-05 #>  [2318,] 1.605487e-05 1.522611e-05 #>  [2319,] 4.429890e-05 1.713985e-05 #>  [2320,] 1.420307e-05 1.226456e-05 #>  [2321,] 3.718483e-05 4.400048e-05 #>  [2322,] 1.931282e-05 1.477868e-05 #>  [2323,] 1.201850e-05 1.154063e-05 #>  [2324,] 1.248534e-05 1.619074e-05 #>  [2325,] 1.605951e-05 1.355582e-05 #>  [2326,] 1.124490e-05 1.107026e-05 #>  [2327,] 1.304531e-05 1.097104e-05 #>  [2328,] 5.819239e-04 2.100808e-05 #>  [2329,] 1.817317e-04 4.800803e-04 #>  [2330,] 1.771139e-05 1.340693e-05 #>  [2331,] 1.265541e-05 1.040559e-05 #>  [2332,] 1.580777e-05 1.333335e-05 #>  [2333,] 1.591623e-05 1.377998e-05 #>  [2334,] 1.434355e-05 1.181239e-05 #>  [2335,] 1.721616e-05 1.389536e-05 #>  [2336,] 1.583640e-05 1.290396e-05 #>  [2337,] 4.142750e-04 8.263277e-05 #>  [2338,] 2.070096e-05 1.970767e-05 #>  [2339,] 2.068530e-05 2.436202e-05 #>  [2340,] 4.430042e-05 2.648846e-05 #>  [2341,] 2.166229e-05 1.364910e-05 #>  [2342,] 1.676410e-05 1.349106e-05 #>  [2343,] 1.721389e-05 1.451171e-05 #>  [2344,] 1.544087e-05 1.432218e-05 #>  [2345,] 2.273415e-05 1.500981e-05 #>  [2346,] 2.101478e-04 6.878905e-05 #>  [2347,] 2.248239e-05 2.054708e-05 #>  [2348,] 2.547429e-05 2.340136e-05 #>  [2349,] 1.860623e-05 1.216596e-05 #>  [2350,] 1.347579e-05 3.629140e-05 #>  [2351,] 1.503057e-05 1.412943e-05 #>  [2352,] 4.738416e-05 2.558575e-05 #>  [2353,] 1.305393e-05 1.178122e-05 #>  [2354,] 3.477930e-05 1.190731e-05 #>  [2355,] 4.766900e-05 3.287483e-05 #>  [2356,] 2.466889e-05 2.056660e-05 #>  [2357,] 1.554025e-05 1.911046e-05 #>  [2358,] 3.911981e-05 1.682317e-05 #>  [2359,] 2.911412e-05 1.782565e-05 #>  [2360,] 1.235415e-05 1.187055e-05 #>  [2361,] 1.742000e-05 1.432136e-05 #>  [2362,] 2.199304e-05 1.034963e-04 #>  [2363,] 1.559270e-05 1.518499e-05 #>  [2364,] 1.142232e-05 1.067553e-05 #>  [2365,] 5.336910e-05 5.303097e-05 #>  [2366,] 1.515424e-05 1.023299e-05 #>  [2367,] 1.589738e-05 1.326913e-05 #>  [2368,] 1.612663e-05 1.477047e-05 #>  [2369,] 2.886872e-05 1.231197e-05 #>  [2370,] 1.634526e-04 2.794209e-04 #>  [2371,] 2.090381e-05 1.606633e-05 #>  [2372,] 1.370642e-05 1.333500e-05 #>  [2373,] 1.540204e-05 1.269113e-05 #>  [2374,] 1.616371e-05 1.366855e-05 #>  [2375,] 2.023175e-05 1.514716e-05 #>  [2376,] 1.261228e-05 1.296115e-05 #>  [2377,] 1.365121e-05 1.302234e-05 #>  [2378,] 1.292603e-05 1.346018e-05 #>  [2379,] 1.589881e-05 1.350469e-05 #>  [2380,] 1.192348e-05 1.295644e-05 #>  [2381,] 2.189292e-05 2.157311e-05 #>  [2382,] 2.426790e-05 2.234508e-05 #>  [2383,] 2.270382e-05 1.856603e-05 #>  [2384,] 1.239810e-05 1.115521e-05 #>  [2385,] 1.754492e-05 1.313546e-05 #>  [2386,] 2.700150e-04 2.831482e-04 #>  [2387,] 1.143034e-05 1.087804e-05 #>  [2388,] 1.455669e-04 4.897358e-05 #>  [2389,] 1.763264e-05 1.379324e-05 #>  [2390,] 1.973629e-04 4.418433e-05 #>  [2391,] 7.870451e-05 4.390764e-05 #>  [2392,] 2.694830e-05 4.064601e-05 #>  [2393,] 3.063116e-05 2.513474e-05 #>  [2394,] 2.128708e-04 5.156552e-05 #>  [2395,] 1.213398e-05 1.113352e-05 #>  [2396,] 8.667919e-04 6.631068e-04 #>  [2397,] 2.951062e-05 1.976181e-05 #>  [2398,] 1.611438e-05 1.576310e-05 #>  [2399,] 8.689969e-05 3.343456e-05 #>  [2400,] 1.642789e-05 1.198053e-05 #>  [2401,] 3.527067e-05 2.762500e-05 #>  [2402,] 1.790022e-05 1.601138e-05 #>  [2403,] 1.773240e-05 2.210085e-05 #>  [2404,] 5.012827e-05 2.597466e-05 #>  [2405,] 2.529167e-05 2.020582e-05 #>  [2406,] 1.613349e-05 1.511660e-05 #>  [2407,] 2.211100e-05 1.508082e-05 #>  [2408,] 2.048853e-05 1.445726e-05 #>  [2409,] 1.866810e-05 1.292208e-05 #>  [2410,] 1.520219e-05 1.714213e-05 #>  [2411,] 1.439305e-05 1.353565e-05 #>  [2412,] 1.606532e-04 2.241290e-04 #>  [2413,] 2.983024e-05 2.366580e-05 #>  [2414,] 1.135561e-05 1.389314e-05 #>  [2415,] 2.977534e-05 1.539018e-05 #>  [2416,] 1.868590e-04 3.482146e-05 #>  [2417,] 1.694353e-05 1.955712e-05 #>  [2418,] 2.257911e-05 1.593659e-05 #>  [2419,] 1.170486e-05 1.579516e-05 #>  [2420,] 1.453203e-05 1.338967e-05 #>  [2421,] 1.363695e-05 1.157609e-05 #>  [2422,] 1.583865e-05 1.461545e-05 #>  [2423,] 2.466725e-05 4.667289e-05 #>  [2424,] 2.537030e-05 2.679640e-05 #>  [2425,] 1.707738e-05 2.981195e-05 #>  [2426,] 2.651255e-05 1.612744e-05 #>  [2427,] 1.178181e-05 1.156894e-05 #>  [2428,] 1.722067e-05 2.037110e-05 #>  [2429,] 1.377978e-04 3.255670e-05 #>  [2430,] 1.718289e-05 1.508821e-05 #>  [2431,] 2.044041e-05 6.698104e-05 #>  [2432,] 4.026360e-05 2.192531e-05 #>  [2433,] 1.567282e-05 1.376642e-05 #>  [2434,] 1.856303e-05 2.257005e-05 #>  [2435,] 1.232943e-05 9.920997e-06 #>  [2436,] 8.418860e-05 8.640919e-05 #>  [2437,] 2.661061e-05 2.070286e-05 #>  [2438,] 1.297277e-05 1.108024e-05 #>  [2439,] 5.460209e-05 1.876915e-05 #>  [2440,] 2.104665e-05 1.523970e-05 #>  [2441,] 2.281062e-05 1.834529e-05 #>  [2442,] 1.626694e-05 1.428189e-05 #>  [2443,] 8.119391e-05 1.252700e-04 #>  [2444,] 1.471135e-05 1.209269e-05 #>  [2445,] 4.981200e-05 5.646009e-04 #>  [2446,] 1.819081e-05 1.950981e-05 #>  [2447,] 7.121611e-05 7.252660e-05 #>  [2448,] 1.632261e-05 1.300930e-05 #>  [2449,] 6.411023e-05 2.506680e-05 #>  [2450,] 1.560643e-05 1.273828e-05 #>  [2451,] 1.759244e-05 1.428094e-05 #>  [2452,] 5.502941e-05 5.150299e-05 #>  [2453,] 4.318882e-04 4.765946e-05 #>  [2454,] 1.339977e-05 1.480536e-05 #>  [2455,] 1.819578e-05 1.616647e-05 #>  [2456,] 1.406036e-05 1.278705e-05 #>  [2457,] 3.890356e-05 3.816325e-05 #>  [2458,] 1.324769e-05 1.569285e-05 #>  [2459,] 2.279184e-05 8.548733e-05 #>  [2460,] 1.554993e-05 1.261865e-05 #>  [2461,] 1.649600e-05 1.475626e-05 #>  [2462,] 4.510319e-04 5.737324e-04 #>  [2463,] 1.474501e-05 3.706594e-05 #>  [2464,] 8.801779e-05 3.031315e-05 #>  [2465,] 1.683256e-05 1.507181e-05 #>  [2466,] 3.080661e-05 4.913348e-05 #>  [2467,] 3.275247e-05 4.910243e-05 #>  [2468,] 1.691055e-05 1.414747e-05 #>  [2469,] 3.225209e-05 4.991019e-05 #>  [2470,] 1.109147e-05 1.052312e-05 #>  [2471,] 1.273652e-05 1.136094e-05 #>  [2472,] 4.455735e-05 1.806645e-05 #>  [2473,] 2.547477e-05 2.474011e-05 #>  [2474,] 2.423841e-05 1.628184e-05 #>  [2475,] 1.341457e-05 1.123201e-05 #>  [2476,] 1.852126e-05 1.478473e-05 #>  [2477,] 1.844343e-05 2.032194e-05 #>  [2478,] 1.850298e-05 1.379674e-05 #>  [2479,] 1.205993e-05 1.055512e-05 #>  [2480,] 1.284934e-05 1.190900e-05 #>  [2481,] 4.571722e-05 4.139581e-05 #>  [2482,] 2.286528e-05 1.670611e-05 #>  [2483,] 1.273262e-05 1.273821e-05 #>  [2484,] 2.197739e-05 6.118092e-05 #>  [2485,] 1.081633e-05 1.045781e-05 #>  [2486,] 1.399712e-05 1.501744e-05 #>  [2487,] 1.413768e-05 1.188851e-05 #>  [2488,] 1.685620e-05 1.344087e-05 #>  [2489,] 1.578952e-05 1.800048e-05 #>  [2490,] 1.309663e-05 1.078403e-05 #>  [2491,] 3.468820e-05 2.683131e-05 #>  [2492,] 8.221399e-04 2.187933e-04 #>  [2493,] 1.739544e-05 5.627504e-05 #>  [2494,] 1.399037e-05 1.271515e-05 #>  [2495,] 2.247293e-05 2.112054e-05 #>  [2496,] 1.597280e-05 1.383155e-05 #>  [2497,] 4.394319e-05 5.690873e-05 #>  [2498,] 2.543595e-05 1.470544e-05 #>  [2499,] 3.149016e-05 2.961827e-05 #>  [2500,] 1.206377e-05 1.770611e-05 #>  [2501,] 1.857658e-05 1.823964e-05 #>  [2502,] 3.578747e-05 1.412164e-05 #>  [2503,] 1.997141e-05 1.735957e-05 #>  [2504,] 2.703548e-05 2.571204e-05 #>  [2505,] 1.658035e-05 2.228509e-05 #>  [2506,] 1.533012e-05 1.552809e-05 #>  [2507,] 1.202691e-05 1.281003e-05 #>  [2508,] 2.003860e-05 1.491297e-05 #>  [2509,] 2.053316e-05 1.517976e-05 #>  [2510,] 1.363077e-05 1.583303e-05 #>  [2511,] 1.851931e-05 2.770400e-04 #>  [2512,] 1.644787e-05 1.482372e-05 #>  [2513,] 1.666778e-05 1.583560e-04 #>  [2514,] 1.571382e-05 1.233359e-05 #>  [2515,] 1.517646e-05 1.149860e-05 #>  [2516,] 2.409079e-05 1.830926e-05 #>  [2517,] 1.735938e-05 2.093410e-05 #>  [2518,] 1.515595e-05 2.032370e-05 #>  [2519,] 2.534435e-05 1.639924e-05 #>  [2520,] 1.197210e-05 1.086217e-05 #>  [2521,] 1.218510e-05 1.167466e-05 #>  [2522,] 1.367706e-05 1.220030e-05 #>  [2523,] 1.540543e-05 1.358903e-05 #>  [2524,] 3.247689e-05 2.280906e-05 #>  [2525,] 2.022882e-05 1.429902e-05 #>  [2526,] 1.186420e-05 1.071566e-05 #>  [2527,] 3.155487e-04 2.168883e-04 #>  [2528,] 1.416112e-05 1.254369e-05 #>  [2529,] 1.658413e-05 1.494207e-05 #>  [2530,] 1.113655e-05 1.064692e-05 #>  [2531,] 7.188931e-05 5.105865e-05 #>  [2532,] 1.601999e-05 1.331983e-05 #>  [2533,] 1.945434e-05 2.030479e-05 #>  [2534,] 1.900944e-05 3.229181e-05 #>  [2535,] 1.456799e-05 1.413127e-05 #>  [2536,] 1.433332e-05 1.278306e-05 #>  [2537,] 1.986082e-05 1.448874e-05 #>  [2538,] 2.823332e-05 6.055338e-05 #>  [2539,] 2.157910e-05 1.954547e-05 #>  [2540,] 8.297872e-04 4.617609e-04 #>  [2541,] 3.503831e-05 3.444302e-05 #>  [2542,] 1.167479e-05 1.268793e-05 #>  [2543,] 1.204270e-05 1.096344e-05 #>  [2544,] 1.368337e-05 1.221861e-05 #>  [2545,] 1.467267e-05 1.218625e-05 #>  [2546,] 1.442831e-05 1.228756e-05 #>  [2547,] 1.869018e-05 1.810144e-05 #>  [2548,] 1.639227e-05 1.350987e-05 #>  [2549,] 1.632376e-05 1.475938e-05 #>  [2550,] 1.457374e-05 1.383567e-05 #>  [2551,] 2.265422e-04 3.817476e-04 #>  [2552,] 1.632942e-05 1.405947e-05 #>  [2553,] 2.299865e-05 1.159472e-04 #>  [2554,] 1.390978e-05 1.249638e-05 #>  [2555,] 1.640025e-05 1.421506e-05 #>  [2556,] 1.891835e-05 1.293348e-05 #>  [2557,] 1.096706e-04 1.775188e-04 #>  [2558,] 8.279598e-05 6.059317e-04 #>  [2559,] 1.541834e-05 1.240377e-05 #>  [2560,] 1.758982e-05 1.905266e-05 #>  [2561,] 1.224414e-05 1.023623e-05 #>  [2562,] 7.583240e-04 3.573007e-04 #>  [2563,] 3.183911e-05 3.745093e-05 #>  [2564,] 2.874380e-05 4.024358e-05 #>  [2565,] 3.428116e-05 1.827954e-05 #>  [2566,] 3.302289e-05 4.140192e-05 #>  [2567,] 1.375226e-05 1.429088e-05 #>  [2568,] 1.140050e-04 6.062788e-05 #>  [2569,] 1.534627e-05 1.423276e-05 #>  [2570,] 1.935889e-05 1.755015e-05 #>  [2571,] 7.430910e-05 1.039957e-04 #>  [2572,] 1.170582e-05 1.153644e-05 #>  [2573,] 1.661650e-05 1.560247e-05 #>  [2574,] 1.253216e-04 3.464157e-05 #>  [2575,] 9.830202e-04 4.082888e-05 #>  [2576,] 2.658096e-05 5.804194e-05 #>  [2577,] 3.710586e-05 7.812996e-05 #>  [2578,] 2.482354e-05 2.807921e-05 #>  [2579,] 1.350525e-05 1.432584e-05 #>  [2580,] 2.234232e-05 2.536972e-05 #>  [2581,] 1.650348e-05 1.363075e-05 #>  [2582,] 1.737673e-05 2.135860e-05 #>  [2583,] 1.357503e-05 1.229943e-05 #>  [2584,] 3.135468e-05 2.009575e-05 #>  [2585,] 5.658166e-05 1.421785e-05 #>  [2586,] 1.390823e-05 1.131611e-05 #>  [2587,] 1.241771e-04 8.809853e-05 #>  [2588,] 2.291602e-04 3.862290e-04 #>  [2589,] 3.070561e-05 4.628210e-05 #>  [2590,] 1.333133e-05 1.179772e-05 #>  [2591,] 1.668061e-05 1.770216e-05 #>  [2592,] 1.205018e-05 1.225741e-05 #>  [2593,] 3.972364e-05 2.446327e-05 #>  [2594,] 1.674847e-05 1.706627e-05 #>  [2595,] 1.432159e-05 2.317482e-05 #>  [2596,] 1.725799e-05 1.801964e-05 #>  [2597,] 2.074500e-05 1.800391e-05 #>  [2598,] 1.202179e-05 3.101992e-05 #>  [2599,] 2.044563e-05 1.535994e-05 #>  [2600,] 4.366099e-05 2.481365e-05 #>  [2601,] 1.503054e-05 1.392959e-05 #>  [2602,] 2.049410e-05 1.601545e-05 #>  [2603,] 3.604374e-05 2.015258e-05 #>  [2604,] 1.125915e-05 1.079218e-05 #>  [2605,] 4.507039e-05 1.142680e-04 #>  [2606,] 2.973272e-05 1.830646e-05 #>  [2607,] 5.187458e-05 3.585699e-05 #>  [2608,] 1.289159e-05 1.109091e-05 #>  [2609,] 4.240249e-05 2.532104e-05 #>  [2610,] 6.634653e-05 6.497095e-05 #>  [2611,] 2.568136e-05 1.851354e-05 #>  [2612,] 2.965404e-05 3.054320e-05 #>  [2613,] 1.285090e-05 1.297077e-05 #>  [2614,] 3.420673e-05 2.277735e-05 #>  [2615,] 1.979424e-05 1.634037e-05 #>  [2616,] 1.347961e-05 1.154748e-05 #>  [2617,] 1.314822e-05 1.251431e-05 #>  [2618,] 1.302280e-05 1.107063e-05 #>  [2619,] 1.356760e-05 1.338666e-05 #>  [2620,] 4.256317e-05 8.422825e-05 #>  [2621,] 1.648073e-05 2.165384e-05 #>  [2622,] 5.628781e-05 2.568671e-05 #>  [2623,] 4.801609e-05 2.782102e-05 #>  [2624,] 6.808138e-05 2.013838e-04 #>  [2625,] 4.347008e-05 1.161344e-04 #>  [2626,] 1.886066e-05 1.433634e-05 #>  [2627,] 3.020355e-05 2.727222e-05 #>  [2628,] 1.230558e-05 1.028661e-05 #>  [2629,] 1.383672e-05 1.171158e-05 #>  [2630,] 2.316723e-05 1.813343e-05 #>  [2631,] 1.181534e-05 1.181181e-05 #>  [2632,] 3.181186e-05 1.151820e-05 #>  [2633,] 4.946350e-05 7.548049e-05 #>  [2634,] 1.624839e-05 1.811336e-05 #>  [2635,] 2.058863e-05 2.659234e-05 #>  [2636,] 5.043679e-05 8.511552e-05 #>  [2637,] 1.358421e-05 1.105089e-05 #>  [2638,] 1.889189e-05 1.495908e-05 #>  [2639,] 1.537949e-05 1.259201e-05 #>  [2640,] 2.350673e-05 1.683222e-05 #>  [2641,] 1.353116e-05 1.635698e-05 #>  [2642,] 1.437523e-05 1.384284e-05 #>  [2643,] 1.183763e-05 1.273288e-05 #>  [2644,] 2.202755e-05 7.615544e-05 #>  [2645,] 1.454052e-05 1.221224e-05 #>  [2646,] 1.532190e-05 1.301005e-05 #>  [2647,] 1.306736e-04 4.321724e-05 #>  [2648,] 1.560930e-05 1.314050e-05 #>  [2649,] 1.379238e-05 1.375264e-05 #>  [2650,] 1.125500e-05 1.036637e-05 #>  [2651,] 1.325005e-05 1.236656e-05 #>  [2652,] 1.295600e-05 1.188437e-05 #>  [2653,] 1.585396e-05 1.275811e-05 #>  [2654,] 1.332116e-05 1.217014e-05 #>  [2655,] 1.287663e-05 1.058289e-05 #>  [2656,] 1.755984e-05 1.604928e-05 #>  [2657,] 1.743541e-05 2.233911e-05 #>  [2658,] 1.213639e-05 1.069109e-05 #>  [2659,] 1.856291e-05 1.880244e-05 #>  [2660,] 1.756497e-05 1.751129e-05 #>  [2661,] 2.122588e-05 4.660242e-05 #>  [2662,] 1.311759e-05 1.151893e-05 #>  [2663,] 1.219665e-05 1.289586e-05 #>  [2664,] 1.667903e-05 3.508193e-05 #>  [2665,] 8.090701e-05 5.698117e-05 #>  [2666,] 1.407108e-05 1.253584e-05 #>  [2667,] 1.414183e-05 1.192560e-05 #>  [2668,] 1.549689e-05 1.307422e-05 #>  [2669,] 2.163145e-05 1.534573e-05 #>  [2670,] 1.574039e-05 2.411268e-05 #>  [2671,] 6.057495e-05 1.951936e-05 #>  [2672,] 1.234354e-05 1.273635e-05 #>  [2673,] 4.259932e-05 1.144279e-04 #>  [2674,] 1.368635e-05 1.264792e-05 #>  [2675,] 1.652786e-05 1.679744e-05 #>  [2676,] 1.100133e-05 1.046268e-05 #>  [2677,] 7.216153e-05 2.521290e-04 #>  [2678,] 1.908100e-05 1.536627e-05 #>  [2679,] 1.057140e-05 1.140100e-05 #>  [2680,] 1.726759e-05 1.129752e-05 #>  [2681,] 1.796550e-05 1.436014e-05 #>  [2682,] 1.788256e-05 1.549640e-05 #>  [2683,] 3.481236e-05 7.357282e-05 #>  [2684,] 1.680506e-05 1.373647e-05 #>  [2685,] 1.037586e-05 9.056633e-06 #>  [2686,] 1.477019e-05 1.168746e-05 #>  [2687,] 2.406366e-05 4.115669e-05 #>  [2688,] 3.484600e-05 2.866902e-05 #>  [2689,] 2.561767e-05 2.610054e-05 #>  [2690,] 1.224935e-05 1.153029e-05 #>  [2691,] 1.442042e-05 1.289845e-05 #>  [2692,] 2.016130e-05 1.340735e-05 #>  [2693,] 1.077966e-05 9.305537e-06 #>  [2694,] 1.670726e-05 1.689847e-05 #>  [2695,] 1.269532e-05 1.084391e-05 #>  [2696,] 1.669647e-05 1.326736e-05 #>  [2697,] 2.128069e-05 3.401588e-04 #>  [2698,] 1.979027e-05 1.269248e-05 #>  [2699,] 1.911310e-05 1.806573e-05 #>  [2700,] 1.926974e-05 1.483177e-05 #>  [2701,] 1.308171e-05 1.214279e-05 #>  [2702,] 1.857843e-04 1.274107e-04 #>  [2703,] 3.389521e-05 3.752530e-05 #>  [2704,] 4.223513e-05 3.443377e-05 #>  [2705,] 2.180393e-05 1.764649e-05 #>  [2706,] 1.920122e-05 1.544760e-05 #>  [2707,] 1.343336e-05 1.226325e-05 #>  [2708,] 1.958017e-05 1.392714e-05 #>  [2709,] 9.927200e-05 3.368731e-05 #>  [2710,] 1.102857e-04 9.058465e-05 #>  [2711,] 1.307188e-04 7.346356e-05 #>  [2712,] 2.468276e-05 3.224551e-05 #>  [2713,] 1.338595e-05 1.210695e-05 #>  [2714,] 1.552189e-05 1.441634e-05 #>  [2715,] 2.330947e-05 2.741082e-05 #>  [2716,] 1.222425e-05 1.011778e-05 #>  [2717,] 1.330285e-05 1.153570e-05 #>  [2718,] 3.093351e-05 4.809959e-05 #>  [2719,] 1.445609e-05 1.472827e-05 #>  [2720,] 3.899580e-05 1.922081e-04 #>  [2721,] 1.173788e-05 1.276116e-05 #>  [2722,] 1.824534e-05 1.478461e-05 #>  [2723,] 2.257329e-05 5.464644e-05 #>  [2724,] 2.148344e-05 1.865470e-05 #>  [2725,] 1.584188e-05 1.397470e-05 #>  [2726,] 9.124902e-05 2.370563e-05 #>  [2727,] 1.371563e-05 1.170914e-05 #>  [2728,] 1.218856e-05 1.172241e-05 #>  [2729,] 1.359107e-05 1.186174e-05 #>  [2730,] 1.181850e-04 1.083513e-04 #>  [2731,] 1.473965e-05 1.362932e-05 #>  [2732,] 2.616731e-05 1.299262e-05 #>  [2733,] 2.530525e-05 1.626450e-05 #>  [2734,] 1.753656e-05 1.372628e-05 #>  [2735,] 1.635347e-05 1.204870e-05 #>  [2736,] 1.443243e-05 1.117418e-05 #>  [2737,] 1.458762e-05 1.324509e-05 #>  [2738,] 1.534155e-05 1.374049e-05 #>  [2739,] 1.937338e-05 1.615007e-05 #>  [2740,] 1.347570e-05 1.097496e-05 #>  [2741,] 2.985801e-05 1.638017e-05 #>  [2742,] 2.225492e-05 3.862344e-05 #>  [2743,] 4.733927e-05 1.630581e-05 #>  [2744,] 3.567465e-05 1.077352e-03 #>  [2745,] 1.814843e-05 1.534796e-05 #>  [2746,] 1.925945e-05 3.051363e-05 #>  [2747,] 4.326219e-05 2.252278e-05 #>  [2748,] 1.099251e-05 1.119777e-05 #>  [2749,] 2.652925e-05 2.118030e-05 #>  [2750,] 1.329256e-05 1.078896e-05 #>  [2751,] 2.110581e-05 2.327025e-05 #>  [2752,] 9.225789e-04 1.021670e-03 #>  [2753,] 1.499930e-05 1.218103e-05 #>  [2754,] 1.996228e-05 1.116406e-04 #>  [2755,] 1.830579e-05 1.762822e-05 #>  [2756,] 2.095927e-05 1.903053e-05 #>  [2757,] 1.211019e-05 1.834294e-05 #>  [2758,] 1.450540e-05 1.166599e-05 #>  [2759,] 2.231265e-05 7.423254e-05 #>  [2760,] 3.163714e-05 2.142112e-05 #>  [2761,] 5.106016e-05 3.924385e-05 #>  [2762,] 1.893842e-05 1.233623e-05 #>  [2763,] 1.603675e-05 1.276664e-05 #>  [2764,] 1.928649e-05 1.313636e-05 #>  [2765,] 1.528766e-05 1.215712e-05 #>  [2766,] 5.446781e-05 8.169145e-05 #>  [2767,] 1.745356e-04 1.435979e-04 #>  [2768,] 1.459440e-05 1.386187e-05 #>  [2769,] 1.909262e-05 1.222208e-05 #>  [2770,] 1.703070e-04 5.975031e-05 #>  [2771,] 1.532347e-05 1.257726e-05 #>  [2772,] 1.413810e-05 1.793102e-05 #>  [2773,] 1.866717e-05 1.870640e-05 #>  [2774,] 1.492247e-05 1.317050e-05 #>  [2775,] 1.307423e-05 1.179761e-05 #>  [2776,] 1.295099e-05 1.435590e-05 #>  [2777,] 1.660164e-05 1.492934e-05 #>  [2778,] 1.862281e-05 1.429756e-05 #>  [2779,] 1.483716e-05 1.385342e-05 #>  [2780,] 1.425436e-05 1.389802e-05 #>  [2781,] 1.415414e-05 1.374392e-05 #>  [2782,] 1.617670e-05 1.523423e-05 #>  [2783,] 1.915147e-05 2.066552e-05 #>  [2784,] 2.330670e-05 3.208512e-05 #>  [2785,] 1.145586e-05 9.664988e-06 #>  [2786,] 1.518947e-05 1.394431e-05 #>  [2787,] 9.639169e-05 5.471833e-05 #>  [2788,] 3.257862e-05 5.553627e-05 #>  [2789,] 1.985957e-04 3.175909e-04 #>  [2790,] 3.778227e-05 1.306121e-05 #>  [2791,] 1.411925e-05 1.325146e-05 #>  [2792,] 1.601381e-05 1.097198e-05 #>  [2793,] 5.995490e-05 1.710468e-05 #>  [2794,] 4.273785e-05 9.735984e-05 #>  [2795,] 1.885291e-05 1.569121e-05 #>  [2796,] 4.862442e-05 4.559779e-05 #>  [2797,] 2.622891e-05 3.877915e-05 #>  [2798,] 1.044560e-05 1.037213e-05 #>  [2799,] 5.278807e-05 1.447966e-04 #>  [2800,] 1.835866e-05 1.415446e-05 #>  [2801,] 2.411712e-05 1.684315e-05 #>  [2802,] 1.198025e-05 1.174871e-05 #>  [2803,] 1.254049e-05 1.263529e-05 #>  [2804,] 3.559894e-05 2.636973e-05 #>  [2805,] 1.147911e-04 9.252067e-05 #>  [2806,] 1.960030e-05 1.631839e-05 #>  [2807,] 1.768209e-05 1.607232e-05 #>  [2808,] 9.662276e-05 7.934211e-05 #>  [2809,] 2.070655e-05 1.935878e-05 #>  [2810,] 1.051021e-03 1.042719e-04 #>  [2811,] 1.409275e-05 1.356825e-05 #>  [2812,] 1.062444e-05 1.174118e-05 #>  [2813,] 1.434402e-05 1.719823e-05 #>  [2814,] 1.239143e-04 9.419128e-05 #>  [2815,] 1.547041e-05 1.353238e-05 #>  [2816,] 9.832075e-05 2.954912e-05 #>  [2817,] 1.401375e-05 1.246494e-05 #>  [2818,] 1.676584e-05 1.399895e-05 #>  [2819,] 1.113090e-05 1.267605e-05 #>  [2820,] 2.591186e-05 6.571241e-05 #>  [2821,] 2.295959e-05 3.683857e-05 #>  [2822,] 1.944500e-05 1.335499e-05 #>  [2823,] 1.553529e-05 1.362120e-05 #>  [2824,] 1.130003e-05 1.005741e-05 #>  [2825,] 1.565724e-05 1.545865e-05 #>  [2826,] 1.996091e-05 1.650374e-05 #>  [2827,] 2.067716e-04 2.225187e-04 #>  [2828,] 1.107657e-05 1.256416e-05 #>  [2829,] 1.532725e-05 1.245807e-05 #>  [2830,] 1.172632e-05 1.105925e-05 #>  [2831,] 5.373748e-05 1.217001e-04 #>  [2832,] 1.642995e-04 5.550996e-05 #>  [2833,] 9.603470e-05 6.228826e-04 #>  [2834,] 1.267756e-05 1.146125e-05 #>  [2835,] 1.932709e-05 1.768758e-05 #>  [2836,] 1.551240e-05 1.645097e-05 #>  [2837,] 1.107393e-05 9.408074e-06 #>  [2838,] 6.006018e-04 8.182841e-04 #>  [2839,] 1.724502e-05 1.295796e-05 #>  [2840,] 1.670037e-04 2.294297e-05 #>  [2841,] 9.773614e-05 6.221576e-05 #>  [2842,] 1.735091e-05 1.767332e-05 #>  [2843,] 1.405388e-04 4.778235e-05 #>  [2844,] 1.456476e-05 1.270690e-05 #>  [2845,] 1.347913e-05 1.493269e-05 #>  [2846,] 1.468052e-05 1.572058e-05 #>  [2847,] 4.809580e-05 3.906873e-05 #>  [2848,] 4.182670e-05 4.263788e-05 #>  [2849,] 4.798514e-05 8.858766e-05 #>  [2850,] 1.254605e-05 9.816783e-06 #>  [2851,] 1.203488e-05 1.100699e-05 #>  [2852,] 1.759651e-05 1.383821e-05 #>  [2853,] 1.111986e-05 1.009094e-05 #>  [2854,] 2.174736e-04 1.134309e-04 #>  [2855,] 1.493596e-05 1.431270e-05 #>  [2856,] 1.194204e-05 1.236968e-05 #>  [2857,] 2.334263e-05 1.598250e-05 #>  [2858,] 3.351304e-05 2.661337e-05 #>  [2859,] 7.637495e-04 8.700801e-05 #>  [2860,] 1.102300e-05 1.029583e-05 #>  [2861,] 1.494411e-05 1.186185e-05 #>  [2862,] 1.418891e-05 1.287136e-05 #>  [2863,] 1.406892e-05 1.605172e-05 #>  [2864,] 2.460989e-05 1.636587e-05 #>  [2865,] 1.510936e-05 1.327348e-05 #>  [2866,] 1.420430e-05 1.144459e-05 #>  [2867,] 1.168365e-05 1.001926e-05 #>  [2868,] 1.671863e-05 1.670176e-05 #>  [2869,] 1.217624e-05 9.730311e-06 #>  [2870,] 1.175047e-05 1.081792e-05 #>  [2871,] 2.369893e-05 2.132396e-04 #>  [2872,] 3.380452e-05 3.649817e-05 #>  [2873,] 2.293212e-05 1.630211e-05 #>  [2874,] 1.394518e-05 1.282670e-05 #>  [2875,] 2.126330e-04 5.425756e-04 #>  [2876,] 1.419320e-05 1.200218e-05 #>  [2877,] 1.602248e-05 1.472536e-05 #>  [2878,] 1.591493e-05 1.092351e-05 #>  [2879,] 1.462527e-05 1.361680e-05 #>  [2880,] 3.203141e-05 2.628568e-05 #>  [2881,] 1.421913e-05 1.292488e-05 #>  [2882,] 1.402948e-05 1.394393e-05 #>  [2883,] 1.234034e-05 1.293911e-05 #>  [2884,] 2.020266e-05 2.473443e-05 #>  [2885,] 4.611542e-05 2.466941e-05 #>  [2886,] 1.194100e-05 1.230868e-05 #>  [2887,] 2.711767e-05 1.176643e-05 #>  [2888,] 1.159624e-05 1.016134e-05 #>  [2889,] 3.518727e-05 1.695554e-05 #>  [2890,] 2.359854e-05 1.675929e-05 #>  [2891,] 1.398617e-05 1.679711e-05 #>  [2892,] 2.417968e-05 1.395379e-05 #>  [2893,] 3.090556e-05 1.330207e-05 #>  [2894,] 1.194881e-05 1.187757e-05 #>  [2895,] 8.370970e-04 1.729248e-04 #>  [2896,] 1.499251e-05 1.225262e-05 #>  [2897,] 2.472260e-05 1.776983e-05 #>  [2898,] 2.220880e-05 5.627594e-05 #>  [2899,] 1.464345e-05 1.293836e-05 #>  [2900,] 1.165498e-05 1.100132e-05 #>  [2901,] 1.738637e-05 1.525844e-05 #>  [2902,] 2.349301e-05 1.453776e-05 #>  [2903,] 1.429508e-05 1.336704e-05 #>  [2904,] 1.767399e-05 1.858509e-05 #>  [2905,] 2.736449e-04 2.786008e-05 #>  [2906,] 1.413640e-05 1.238432e-05 #>  [2907,] 1.561416e-05 2.174307e-05 #>  [2908,] 1.145470e-05 1.126390e-05 #>  [2909,] 4.205419e-05 1.161280e-04 #>  [2910,] 1.368055e-05 1.623630e-05 #>  [2911,] 3.068857e-04 9.354955e-05 #>  [2912,] 1.098883e-04 1.230073e-04 #>  [2913,] 1.620358e-05 1.458367e-05 #>  [2914,] 4.393716e-05 1.543140e-05 #>  [2915,] 7.915122e-05 7.294121e-05 #>  [2916,] 7.111357e-05 1.480968e-04 #>  [2917,] 1.642778e-05 2.586168e-05 #>  [2918,] 2.052735e-05 1.367672e-05 #>  [2919,] 1.863013e-05 1.742980e-05 #>  [2920,] 1.559086e-05 1.336853e-05 #>  [2921,] 1.073479e-04 5.586329e-05 #>  [2922,] 2.176896e-05 1.329272e-05 #>  [2923,] 1.736228e-05 1.457745e-05 #>  [2924,] 1.151859e-05 1.097136e-05 #>  [2925,] 1.212660e-05 1.156331e-05 #>  [2926,] 3.085673e-05 2.582704e-05 #>  [2927,] 1.196616e-05 1.102229e-05 #>  [2928,] 2.402731e-05 1.720599e-05 #>  [2929,] 1.312424e-05 1.125581e-05 #>  [2930,] 1.589232e-05 1.299667e-05 #>  [2931,] 1.838641e-05 1.379097e-05 #>  [2932,] 1.739172e-05 1.157911e-05 #>  [2933,] 2.683401e-05 1.631904e-05 #>  [2934,] 1.843019e-05 3.970112e-05 #>  [2935,] 1.699314e-05 1.439647e-05 #>  [2936,] 1.612131e-05 2.142790e-05 #>  [2937,] 1.725500e-05 2.256673e-05 #>  [2938,] 1.562553e-05 1.309473e-05 #>  [2939,] 1.075059e-05 1.000432e-05 #>  [2940,] 1.512327e-05 1.316625e-05 #>  [2941,] 1.660732e-05 1.374542e-05 #>  [2942,] 4.753091e-05 2.081633e-05 #>  [2943,] 1.971485e-05 1.598837e-05 #>  [2944,] 2.281165e-05 2.250771e-05 #>  [2945,] 1.115698e-05 1.315620e-05 #>  [2946,] 1.509986e-05 1.322379e-05 #>  [2947,] 1.252376e-05 1.229136e-05 #>  [2948,] 1.415400e-05 1.193993e-05 #>  [2949,] 1.649181e-05 1.223731e-05 #>  [2950,] 1.355274e-05 1.223809e-05 #>  [2951,] 1.454655e-05 1.296585e-05 #>  [2952,] 1.933097e-05 1.550379e-05 #>  [2953,] 9.155572e-04 8.879083e-04 #>  [2954,] 1.288703e-04 3.216775e-05 #>  [2955,] 1.685186e-05 1.601933e-05 #>  [2956,] 1.579429e-05 1.408572e-05 #>  [2957,] 1.777030e-05 1.412962e-05 #>  [2958,] 8.070952e-04 8.041393e-04 #>  [2959,] 2.007491e-04 4.776923e-05 #>  [2960,] 1.430292e-05 1.114035e-05 #>  [2961,] 1.226670e-05 1.245001e-05 #>  [2962,] 1.386036e-05 1.203096e-05 #>  [2963,] 1.788066e-05 1.584179e-05 #>  [2964,] 8.849673e-05 1.202868e-04 #>  [2965,] 1.155193e-05 1.136648e-05 #>  [2966,] 2.692724e-05 1.398602e-05 #>  [2967,] 1.647638e-05 1.594583e-05 #>  [2968,] 1.645085e-05 1.336438e-05 #>  [2969,] 1.917521e-05 1.397639e-05 #>  [2970,] 1.043714e-05 1.067535e-05 #>  [2971,] 1.097052e-05 1.055471e-05 #>  [2972,] 1.284566e-05 1.211403e-05 #>  [2973,] 2.145331e-05 1.542241e-05 #>  [2974,] 1.456576e-05 1.156195e-05 #>  [2975,] 1.508117e-05 1.306026e-05 #>  [2976,] 1.791209e-05 1.546648e-05 #>  [2977,] 1.348889e-05 1.142458e-05 #>  [2978,] 1.775152e-05 1.415551e-05 #>  [2979,] 1.794637e-05 1.526910e-05 #>  [2980,] 3.722268e-05 3.520280e-05 #>  [2981,] 2.310652e-05 1.822751e-05 #>  [2982,] 1.830693e-05 1.204690e-05 #>  [2983,] 3.851509e-05 1.214155e-05 #>  [2984,] 1.689694e-05 1.699688e-05 #>  [2985,] 1.703039e-05 1.357013e-05 #>  [2986,] 1.297581e-05 1.148759e-05 #>  [2987,] 1.317638e-05 1.245448e-05 #>  [2988,] 1.721124e-05 1.264970e-05 #>  [2989,] 1.221223e-05 1.119167e-05 #>  [2990,] 1.549757e-05 1.290003e-05 #>  [2991,] 4.979736e-05 1.359345e-05 #>  [2992,] 1.894340e-05 1.962079e-05 #>  [2993,] 4.347775e-05 1.594059e-05 #>  [2994,] 1.167530e-05 1.080369e-05 #>  [2995,] 2.478941e-04 3.996100e-04 #>  [2996,] 1.959089e-05 3.884986e-05 #>  [2997,] 1.458272e-05 1.197270e-05 #>  [2998,] 1.828144e-05 1.218406e-05 #>  [2999,] 2.770481e-05 2.355008e-05 #>  [3000,] 2.229558e-05 1.769444e-05 #>  [3001,] 1.575317e-05 2.667502e-05 #>  [3002,] 2.342197e-05 1.712338e-05 #>  [3003,] 1.739774e-05 1.611418e-05 #>  [3004,] 2.431442e-05 2.818177e-05 #>  [3005,] 1.265920e-05 1.042633e-05 #>  [3006,] 7.387765e-05 2.009676e-05 #>  [3007,] 2.153723e-05 2.047239e-05 #>  [3008,] 1.683320e-05 1.877636e-05 #>  [3009,] 1.694563e-05 1.312072e-05 #>  [3010,] 1.235294e-05 1.106617e-05 #>  [3011,] 1.593921e-05 1.344068e-05 #>  [3012,] 2.054924e-05 1.725817e-05 #>  [3013,] 3.607178e-05 2.223853e-05 #>  [3014,] 2.715581e-05 1.361933e-05 #>  [3015,] 3.276150e-05 3.241441e-05 #>  [3016,] 3.249631e-05 1.645362e-05 #>  [3017,] 3.988166e-05 1.883540e-04 #>  [3018,] 3.613022e-05 2.051633e-05 #>  [3019,] 1.387893e-05 1.439804e-05 #>  [3020,] 1.445722e-05 1.307672e-05 #>  [3021,] 1.636611e-05 1.685371e-05 #>  [3022,] 2.742128e-05 2.548299e-05 #>  [3023,] 2.533265e-05 2.027326e-05 #>  [3024,] 1.746276e-05 1.574943e-05 #>  [3025,] 2.268375e-05 2.419886e-05 #>  [3026,] 3.794706e-05 2.136674e-05 #>  [3027,] 1.221179e-05 1.080994e-05 #>  [3028,] 1.237992e-05 1.272925e-05 #>  [3029,] 1.192339e-05 1.143486e-05 #>  [3030,] 1.944561e-05 1.089765e-05 #>  [3031,] 1.405728e-05 1.109781e-05 #>  [3032,] 3.003937e-05 1.255635e-05 #>  [3033,] 1.158368e-05 9.643369e-06 #>  [3034,] 1.453495e-05 1.601890e-05 #>  [3035,] 1.497346e-05 1.433511e-05 #>  [3036,] 1.565684e-05 1.524627e-05 #>  [3037,] 1.383026e-04 1.345562e-04 #>  [3038,] 4.214871e-05 6.298624e-05 #>  [3039,] 1.439129e-05 1.762292e-05 #>  [3040,] 1.549954e-05 1.262199e-05 #>  [3041,] 9.159695e-05 1.815144e-05 #>  [3042,] 1.169579e-05 1.177649e-05 #>  [3043,] 1.559875e-05 1.372014e-05 #>  [3044,] 2.213437e-05 1.407405e-05 #>  [3045,] 1.618370e-05 3.114600e-05 #>  [3046,] 1.454436e-05 1.181191e-05 #>  [3047,] 1.617385e-05 3.512698e-05 #>  [3048,] 1.482330e-05 2.836049e-05 #>  [3049,] 1.740505e-05 1.275344e-05 #>  [3050,] 2.597605e-05 2.141795e-05 #>  [3051,] 2.354474e-05 1.703007e-05 #>  [3052,] 1.869546e-05 1.522650e-05 #>  [3053,] 1.278012e-05 1.034772e-05 #>  [3054,] 2.030327e-05 1.461921e-05 #>  [3055,] 8.528560e-05 1.910140e-05 #>  [3056,] 1.823539e-05 1.546269e-05 #>  [3057,] 1.693956e-05 1.502984e-05 #>  [3058,] 4.137107e-05 3.159798e-05 #>  [3059,] 1.633363e-05 1.264916e-05 #>  [3060,] 1.436671e-05 1.250068e-05 #>  [3061,] 3.240962e-05 1.679798e-05 #>  [3062,] 9.733616e-06 8.783281e-06 #>  [3063,] 1.271097e-05 3.933103e-05 #>  [3064,] 1.646766e-05 1.627380e-05 #>  [3065,] 1.167027e-05 1.283239e-05 #>  [3066,] 1.320009e-05 1.150725e-05 #>  [3067,] 1.831302e-05 2.420559e-05 #>  [3068,] 1.896328e-05 1.949592e-05 #>  [3069,] 1.135092e-05 1.089550e-05 #>  [3070,] 3.008815e-05 2.364576e-05 #>  [3071,] 1.523130e-05 1.389182e-05 #>  [3072,] 2.447082e-05 1.505592e-05 #>  [3073,] 1.431167e-05 1.243982e-05 #>  [3074,] 3.049350e-04 3.171029e-04 #>  [3075,] 2.922805e-05 2.964550e-05 #>  [3076,] 2.615459e-04 7.900080e-05 #>  [3077,] 1.144711e-05 1.126906e-05 #>  [3078,] 2.300819e-05 2.242057e-05 #>  [3079,] 1.707603e-04 3.098421e-05 #>  [3080,] 7.762017e-05 2.482299e-05 #>  [3081,] 6.640614e-05 1.037582e-04 #>  [3082,] 2.072107e-05 5.574253e-05 #>  [3083,] 1.539042e-05 1.394934e-05 #>  [3084,] 1.256721e-05 1.141624e-05 #>  [3085,] 1.519956e-04 6.947279e-05 #>  [3086,] 6.833372e-05 2.642840e-05 #>  [3087,] 1.550717e-04 5.540255e-05 #>  [3088,] 1.241722e-05 1.170280e-05 #>  [3089,] 6.434948e-04 3.860324e-04 #>  [3090,] 3.531209e-05 1.657239e-05 #>  [3091,] 2.019495e-05 1.485029e-05 #>  [3092,] 1.097528e-05 1.148576e-05 #>  [3093,] 1.902517e-05 1.558534e-05 #>  [3094,] 1.021996e-05 9.762297e-06 #>  [3095,] 9.330318e-05 6.080252e-05 #>  [3096,] 1.395217e-05 1.192947e-05 #>  [3097,] 1.642526e-05 1.244795e-05 #>  [3098,] 8.505802e-05 7.613336e-05 #>  [3099,] 1.457303e-05 1.527677e-05 #>  [3100,] 6.198147e-05 1.764044e-05 #>  [3101,] 3.412777e-05 7.631005e-04 #>  [3102,] 1.600200e-05 1.442469e-05 #>  [3103,] 3.579599e-05 1.700980e-05 #>  [3104,] 2.016942e-05 1.600980e-05 #>  [3105,] 1.442180e-05 1.229386e-05 #>  [3106,] 1.158671e-05 1.042359e-05 #>  [3107,] 1.475029e-05 1.308352e-05 #>  [3108,] 1.141577e-05 1.060033e-05 #>  [3109,] 1.143672e-05 1.042882e-05 #>  [3110,] 1.185344e-04 1.105489e-04 #>  [3111,] 2.430402e-05 2.761764e-05 #>  [3112,] 1.466586e-05 1.296368e-05 #>  [3113,] 2.241643e-05 1.927740e-05 #>  [3114,] 1.787308e-05 1.549630e-05 #>  [3115,] 2.227904e-05 1.627465e-05 #>  [3116,] 1.644572e-05 1.342469e-05 #>  [3117,] 1.595498e-05 1.267376e-05 #>  [3118,] 3.208391e-05 1.659010e-05 #>  [3119,] 2.224622e-05 1.509796e-05 #>  [3120,] 1.587462e-05 1.328929e-05 #>  [3121,] 1.358871e-05 1.039967e-05 #>  [3122,] 1.368051e-05 1.300592e-05 #>  [3123,] 1.584116e-05 1.282878e-05 #>  [3124,] 2.207192e-05 1.194902e-05 #>  [3125,] 1.187407e-05 1.092083e-05 #>  [3126,] 6.087947e-05 6.634961e-04 #>  [3127,] 2.483124e-05 1.891701e-04 #>  [3128,] 1.296323e-05 1.454525e-05 #>  [3129,] 2.244329e-05 1.386833e-05 #>  [3130,] 1.803150e-05 1.810630e-05 #>  [3131,] 1.129206e-05 1.061313e-05 #>  [3132,] 3.118783e-05 1.601906e-05 #>  [3133,] 2.519820e-05 1.324672e-05 #>  [3134,] 1.441194e-05 1.322345e-05 #>  [3135,] 5.338188e-05 3.703776e-04 #>  [3136,] 1.482388e-05 1.287293e-05 #>  [3137,] 2.413949e-05 4.000613e-05 #>  [3138,] 1.540475e-05 1.813246e-05 #>  [3139,] 1.258561e-05 1.136138e-05 #>  [3140,] 1.254660e-05 1.131687e-05 #>  [3141,] 1.344491e-05 1.286502e-05 #>  [3142,] 1.564265e-05 5.356686e-05 #>  [3143,] 1.309776e-04 4.127622e-05 #>  [3144,] 1.447895e-05 1.034258e-05 #>  [3145,] 1.459152e-05 1.322755e-05 #>  [3146,] 1.714004e-05 1.226292e-05 #>  [3147,] 1.492163e-05 1.416061e-05 #>  [3148,] 2.484082e-05 8.389118e-05 #>  [3149,] 1.453238e-05 1.313543e-05 #>  [3150,] 1.890695e-05 1.584009e-05 #>  [3151,] 1.216918e-05 1.103323e-05 #>  [3152,] 1.378093e-05 1.141682e-05 #>  [3153,] 4.695502e-05 1.520833e-05 #>  [3154,] 1.475147e-05 1.218063e-05 #>  [3155,] 1.501244e-05 1.269006e-05 #>  [3156,] 1.137447e-05 1.045232e-05 #>  [3157,] 1.207863e-05 1.146073e-05 #>  [3158,] 2.061912e-05 1.294082e-05 #>  [3159,] 1.438686e-05 1.222064e-05 #>  [3160,] 1.379296e-05 1.293902e-05 #>  [3161,] 1.026019e-05 9.884278e-06 #>  [3162,] 1.602505e-05 3.517671e-05 #>  [3163,] 2.001599e-05 2.027132e-05 #>  [3164,] 1.235433e-04 8.228660e-05 #>  [3165,] 4.861096e-04 1.777658e-05 #>  [3166,] 4.297024e-05 1.740381e-05 #>  [3167,] 1.785242e-05 1.474736e-05 #>  [3168,] 1.353312e-05 1.279666e-05 #>  [3169,] 1.431951e-05 1.159946e-05 #>  [3170,] 1.033239e-04 1.485624e-04 #>  [3171,] 1.346575e-05 2.130784e-05 #>  [3172,] 1.633954e-05 2.986744e-05 #>  [3173,] 4.383817e-04 5.614005e-05 #>  [3174,] 2.140104e-05 3.420892e-05 #>  [3175,] 1.441771e-05 1.247673e-05 #>  [3176,] 1.612485e-05 1.305934e-05 #>  [3177,] 1.647548e-05 1.450236e-05 #>  [3178,] 2.424779e-05 1.620749e-05 #>  [3179,] 1.372492e-05 1.205471e-05 #>  [3180,] 9.008319e-05 3.159203e-05 #>  [3181,] 2.080063e-05 2.992322e-05 #>  [3182,] 2.035657e-05 1.508356e-05 #>  [3183,] 2.218404e-05 1.661706e-05 #>  [3184,] 3.865149e-05 4.984724e-05 #>  [3185,] 1.796994e-05 1.472491e-05 #>  [3186,] 1.023245e-05 9.737350e-06 #>  [3187,] 3.968879e-05 1.539501e-04 #>  [3188,] 1.769357e-05 1.746535e-05 #>  [3189,] 1.943305e-05 1.410709e-05 #>  [3190,] 1.216325e-05 1.168462e-05 #>  [3191,] 1.415574e-05 1.498831e-05 #>  [3192,] 1.159486e-04 2.521055e-05 #>  [3193,] 2.660050e-05 2.380753e-05 #>  [3194,] 1.398032e-05 1.199722e-05 #>  [3195,] 1.419576e-05 1.380604e-05 #>  [3196,] 2.598293e-05 2.360541e-04 #>  [3197,] 2.312337e-05 1.733223e-05 #>  [3198,] 1.551649e-05 1.334147e-05 #>  [3199,] 8.019562e-05 1.053264e-04 #>  [3200,] 1.352769e-04 4.699659e-05 #>  [3201,] 1.929484e-05 1.564795e-05 #>  [3202,] 1.210284e-05 1.179945e-05 #>  [3203,] 1.423263e-05 1.228387e-05 #>  [3204,] 1.660133e-05 1.547386e-05 #>  [3205,] 1.723990e-05 1.453288e-05 #>  [3206,] 2.785141e-05 1.778230e-05 #>  [3207,] 2.888537e-05 1.231730e-05 #>  [3208,] 2.654665e-05 4.414811e-05 #>  [3209,] 4.441275e-04 1.015483e-03 #>  [3210,] 3.178277e-05 2.605863e-05 #>  [3211,] 1.401136e-04 2.135302e-04 #>  [3212,] 1.699342e-05 1.431777e-05 #>  [3213,] 6.552218e-05 7.095083e-05 #>  [3214,] 1.067472e-05 1.062535e-05 #>  [3215,] 1.204931e-05 1.109828e-05 #>  [3216,] 8.094929e-05 5.887649e-05 #>  [3217,] 1.108556e-05 1.107119e-05 #>  [3218,] 1.943459e-05 1.396513e-05 #>  [3219,] 1.242165e-05 1.119844e-05 #>  [3220,] 3.970332e-05 2.058853e-05 #>  [3221,] 6.571125e-05 1.029005e-04 #>  [3222,] 2.066705e-05 1.455775e-05 #>  [3223,] 2.091273e-05 1.711558e-05 #>  [3224,] 1.797023e-05 7.756872e-05 #>  [3225,] 1.472478e-05 1.296506e-05 #>  [3226,] 5.404687e-05 8.179452e-05 #>  [3227,] 1.443014e-05 1.249441e-05 #>  [3228,] 1.432112e-05 1.252778e-05 #>  [3229,] 1.133597e-05 1.363240e-05 #>  [3230,] 1.631341e-05 1.589784e-05 #>  [3231,] 3.195832e-05 7.900794e-04 #>  [3232,] 1.276435e-05 1.830764e-05 #>  [3233,] 1.411712e-05 1.323036e-05 #>  [3234,] 1.666761e-05 1.285283e-05 #>  [3235,] 1.775783e-05 1.706577e-05 #>  [3236,] 4.199348e-04 6.754753e-05 #>  [3237,] 1.628416e-05 7.638106e-05 #>  [3238,] 2.224063e-05 1.624831e-04 #>  [3239,] 1.549592e-05 1.488813e-05 #>  [3240,] 2.310964e-05 1.357847e-05 #>  [3241,] 2.675578e-05 3.652091e-05 #>  [3242,] 1.508534e-05 1.257344e-05 #>  [3243,] 1.511979e-05 1.256850e-05 #>  [3244,] 1.831840e-05 1.845045e-05 #>  [3245,] 1.673043e-05 1.348099e-05 #>  [3246,] 1.635491e-05 1.349136e-05 #>  [3247,] 1.214671e-05 1.225082e-05 #>  [3248,] 1.140891e-05 1.127465e-05 #>  [3249,] 1.682572e-05 2.612900e-05 #>  [3250,] 1.872413e-05 1.563842e-05 #>  [3251,] 1.920801e-05 1.556703e-05 #>  [3252,] 3.055759e-05 1.377253e-05 #>  [3253,] 1.342818e-05 1.185061e-05 #>  [3254,] 1.481307e-05 1.223378e-05 #>  [3255,] 1.525889e-05 1.389679e-05 #>  [3256,] 1.512044e-05 1.315741e-05 #>  [3257,] 1.223245e-05 1.067796e-05 #>  [3258,] 2.545638e-05 1.299084e-05 #>  [3259,] 2.210790e-05 1.473497e-05 #>  [3260,] 1.178607e-05 1.218142e-05 #>  [3261,] 1.319865e-05 1.121895e-05 #>  [3262,] 4.582522e-05 2.585283e-05 #>  [3263,] 1.951873e-05 1.245303e-05 #>  [3264,] 1.851075e-05 1.502645e-05 #>  [3265,] 1.856615e-05 1.354232e-05 #>  [3266,] 1.522884e-05 2.039921e-05 #>  [3267,] 1.351014e-05 1.142116e-05 #>  [3268,] 1.101861e-04 2.488205e-05 #>  [3269,] 2.159895e-05 2.209270e-05 #>  [3270,] 1.651314e-05 1.288902e-05 #>  [3271,] 1.144179e-05 1.113784e-05 #>  [3272,] 1.256810e-05 1.212425e-05 #>  [3273,] 8.302333e-05 2.769269e-05 #>  [3274,] 1.867551e-05 1.679629e-05 #>  [3275,] 1.428030e-05 1.267846e-05 #>  [3276,] 2.779826e-05 9.427928e-05 #>  [3277,] 1.160949e-05 1.120049e-05 #>  [3278,] 2.181236e-05 2.586537e-05 #>  [3279,] 1.145898e-04 7.556545e-04 #>  [3280,] 1.396985e-05 1.236464e-05 #>  [3281,] 1.245723e-05 1.142535e-05 #>  [3282,] 2.198874e-05 2.204111e-05 #>  [3283,] 3.076281e-05 1.419084e-05 #>  [3284,] 1.308099e-05 1.238359e-05 #>  [3285,] 2.621905e-05 1.764249e-05 #>  [3286,] 1.952062e-05 5.551037e-05 #>  [3287,] 2.037516e-05 1.562881e-05 #>  [3288,] 7.693479e-05 6.791883e-05 #>  [3289,] 1.252825e-04 1.484866e-04 #>  [3290,] 1.193970e-05 2.010573e-05 #>  [3291,] 4.809338e-05 4.183590e-05 #>  [3292,] 2.313448e-05 1.528417e-05 #>  [3293,] 3.787945e-05 1.879684e-05 #>  [3294,] 1.536878e-05 1.237094e-05 #>  [3295,] 1.004664e-04 1.101113e-04 #>  [3296,] 2.030872e-05 2.315546e-05 #>  [3297,] 1.465521e-05 1.536831e-05 #>  [3298,] 1.152179e-05 1.130405e-05 #>  [3299,] 1.377547e-05 1.203119e-05 #>  [3300,] 3.539578e-05 7.512551e-05 #>  [3301,] 2.565683e-05 1.921996e-05 #>  [3302,] 2.296729e-05 1.836167e-05 #>  [3303,] 2.535232e-05 1.734953e-05 #>  [3304,] 1.616650e-05 1.239540e-05 #>  [3305,] 1.893872e-05 1.964449e-05 #>  [3306,] 2.097077e-05 1.483477e-05 #>  [3307,] 1.508609e-05 1.608020e-05 #>  [3308,] 6.412081e-05 1.729557e-05 #>  [3309,] 3.073825e-04 5.362943e-05 #>  [3310,] 2.215652e-05 2.551490e-05 #>  [3311,] 1.209623e-05 1.316733e-05 #>  [3312,] 1.696695e-05 1.422617e-05 #>  [3313,] 1.916696e-05 2.228498e-05 #>  [3314,] 6.380055e-05 5.955630e-05 #>  [3315,] 1.182347e-05 9.820231e-06 #>  [3316,] 1.385111e-05 1.229548e-05 #>  [3317,] 2.443658e-05 1.869407e-05 #>  [3318,] 1.456868e-05 1.182616e-05 #>  [3319,] 2.142313e-05 1.131096e-05 #>  [3320,] 6.756895e-04 1.788295e-04 #>  [3321,] 2.794007e-05 3.903526e-05 #>  [3322,] 8.912899e-05 1.776128e-05 #>  [3323,] 4.225494e-05 8.258953e-04 #>  [3324,] 2.883685e-05 1.138938e-04 #>  [3325,] 1.395847e-05 1.178980e-05 #>  [3326,] 1.993173e-05 1.373488e-05 #>  [3327,] 1.577174e-05 1.248452e-05 #>  [3328,] 2.462829e-05 1.398658e-05 #>  [3329,] 1.129992e-05 9.890066e-06 #>  [3330,] 1.476746e-05 1.151202e-05 #>  [3331,] 1.992766e-05 2.026037e-05 #>  [3332,] 1.601383e-05 1.440438e-05 #>  [3333,] 1.614810e-05 1.454473e-05 #>  [3334,] 1.439098e-05 1.293025e-05 #>  [3335,] 1.470197e-05 1.243923e-05 #>  [3336,] 1.552660e-05 1.286504e-05 #>  [3337,] 1.628901e-05 1.459274e-05 #>  [3338,] 1.143568e-05 1.110478e-05 #>  [3339,] 2.105628e-05 2.528720e-05 #>  [3340,] 1.616983e-05 1.356220e-05 #>  [3341,] 1.271806e-05 1.097348e-05 #>  [3342,] 1.354791e-05 1.308931e-05 #>  [3343,] 1.622950e-05 1.473152e-05 #>  [3344,] 1.516298e-05 1.461289e-05 #>  [3345,] 1.336018e-05 1.123216e-05 #>  [3346,] 1.653439e-05 1.353781e-05 #>  [3347,] 1.558925e-04 7.621816e-05 #>  [3348,] 4.069733e-05 5.660209e-05 #>  [3349,] 4.586529e-04 5.431750e-04 #>  [3350,] 1.976626e-05 1.316614e-05 #>  [3351,] 2.103885e-05 1.559601e-05 #>  [3352,] 2.868880e-05 3.023445e-05 #>  [3353,] 1.810251e-05 1.603543e-05 #>  [3354,] 7.822298e-05 4.207584e-05 #>  [3355,] 4.834710e-05 9.239946e-05 #>  [3356,] 1.589051e-05 1.445408e-05 #>  [3357,] 1.655606e-05 1.413459e-05 #>  [3358,] 1.499769e-05 2.217904e-05 #>  [3359,] 2.207426e-05 1.441670e-05 #>  [3360,] 1.670418e-05 1.195273e-05 #>  [3361,] 1.501683e-05 1.544865e-05 #>  [3362,] 3.653070e-05 3.461711e-05 #>  [3363,] 1.422547e-05 1.364659e-05 #>  [3364,] 5.331614e-05 1.490857e-05 #>  [3365,] 1.869177e-05 1.729145e-05 #>  [3366,] 3.431177e-05 4.892023e-05 #>  [3367,] 1.485259e-05 1.702065e-05 #>  [3368,] 1.975562e-05 2.096916e-05 #>  [3369,] 3.094270e-05 3.763256e-05 #>  [3370,] 3.333027e-05 1.451377e-05 #>  [3371,] 2.428234e-05 1.035155e-04 #>  [3372,] 1.380963e-05 1.149409e-05 #>  [3373,] 1.387889e-05 1.110276e-05 #>  [3374,] 3.278544e-05 2.133874e-05 #>  [3375,] 1.847421e-05 1.482964e-05 #>  [3376,] 7.442471e-04 3.452588e-04 #>  [3377,] 2.168667e-04 4.513889e-05 #>  [3378,] 1.385758e-05 1.116726e-05 #>  [3379,] 2.238785e-05 1.768228e-05 #>  [3380,] 1.697049e-05 1.198320e-05 #>  [3381,] 3.082295e-05 2.372763e-05 #>  [3382,] 8.430337e-05 3.803783e-05 #>  [3383,] 1.797082e-05 1.521681e-05 #>  [3384,] 2.088757e-05 2.864362e-05 #>  [3385,] 1.607896e-05 1.299883e-05 #>  [3386,] 1.713740e-05 1.539066e-05 #>  [3387,] 1.875745e-05 1.221594e-05 #>  [3388,] 3.227057e-04 8.193098e-04 #>  [3389,] 1.469857e-05 1.336663e-05 #>  [3390,] 1.799838e-05 1.581580e-05 #>  [3391,] 4.914619e-04 1.529904e-04 #>  [3392,] 1.222847e-05 1.121479e-05 #>  [3393,] 7.456870e-05 6.259742e-05 #>  [3394,] 2.338747e-05 1.201413e-05 #>  [3395,] 1.056280e-04 8.268488e-04 #>  [3396,] 1.501921e-05 1.337524e-05 #>  [3397,] 1.142197e-05 1.104813e-05 #>  [3398,] 1.491466e-05 1.311615e-05 #>  [3399,] 1.460892e-05 1.275889e-05 #>  [3400,] 1.388362e-05 1.109589e-05 #>  [3401,] 1.465165e-05 1.160624e-05 #>  [3402,] 1.574472e-05 1.429701e-05 #>  [3403,] 1.940513e-05 1.458837e-05 #>  [3404,] 1.750581e-05 5.507487e-05 #>  [3405,] 1.703632e-05 1.415226e-05 #>  [3406,] 1.239252e-05 1.399008e-05 #>  [3407,] 1.617694e-05 1.447679e-05 #>  [3408,] 3.120034e-04 2.718443e-05 #>  [3409,] 4.948569e-05 1.641392e-05 #>  [3410,] 1.468423e-05 1.459177e-05 #>  [3411,] 1.731395e-05 1.249380e-05 #>  [3412,] 5.293953e-05 2.107792e-05 #>  [3413,] 1.215675e-05 9.895859e-06 #>  [3414,] 1.795221e-05 2.227285e-05 #>  [3415,] 1.926707e-05 1.817215e-05 #>  [3416,] 2.727263e-05 1.365502e-05 #>  [3417,] 1.524449e-05 1.092363e-05 #>  [3418,] 4.332541e-04 2.432129e-04 #>  [3419,] 4.143899e-05 2.024755e-05 #>  [3420,] 1.960772e-05 2.148122e-05 #>  [3421,] 3.298128e-05 2.002205e-05 #>  [3422,] 1.467588e-05 1.521591e-05 #>  [3423,] 1.023440e-05 8.937085e-06 #>  [3424,] 5.414083e-05 6.772335e-05 #>  [3425,] 1.398032e-05 1.186168e-05 #>  [3426,] 1.635780e-05 1.374670e-05 #>  [3427,] 2.880748e-05 1.598654e-05 #>  [3428,] 1.391639e-05 1.298380e-05 #>  [3429,] 2.729746e-05 1.487684e-05 #>  [3430,] 2.764671e-05 1.744149e-05 #>  [3431,] 1.472650e-05 1.234570e-05 #>  [3432,] 3.718847e-04 4.114783e-05 #>  [3433,] 1.113926e-05 1.075444e-05 #>  [3434,] 2.383143e-05 2.242129e-05 #>  [3435,] 5.779619e-05 3.049966e-05 #>  [3436,] 1.335587e-05 1.353355e-05 #>  [3437,] 1.866105e-04 4.346935e-05 #>  [3438,] 1.314688e-05 1.199037e-05 #>  [3439,] 1.463816e-04 1.112436e-03 #>  [3440,] 2.344684e-05 3.066026e-05 #>  [3441,] 2.843624e-05 2.366527e-05 #>  [3442,] 1.853838e-04 2.865458e-05 #>  [3443,] 1.983092e-05 2.487574e-05 #>  [3444,] 1.483351e-05 1.188264e-05 #>  [3445,] 1.986288e-05 1.567093e-05 #>  [3446,] 1.417359e-05 1.147678e-05 #>  [3447,] 1.692519e-05 1.841071e-05 #>  [3448,] 4.064345e-05 2.235026e-05 #>  [3449,] 1.916066e-05 1.424530e-05 #>  [3450,] 1.651386e-05 1.434643e-05 #>  [3451,] 6.185244e-04 9.187487e-04 #>  [3452,] 1.324156e-05 1.239989e-05 #>  [3453,] 1.681855e-05 1.193239e-05 #>  [3454,] 2.708414e-05 4.425105e-05 #>  [3455,] 2.519146e-05 1.817097e-05 #>  [3456,] 1.481024e-05 1.579364e-05 #>  [3457,] 4.817598e-05 3.482393e-05 #>  [3458,] 1.538571e-05 1.235265e-05 #>  [3459,] 1.730964e-05 1.296554e-05 #>  [3460,] 1.672551e-05 2.120183e-05 #>  [3461,] 1.176522e-05 1.288533e-05 #>  [3462,] 1.196539e-05 1.160302e-05 #>  [3463,] 1.560064e-05 1.256823e-05 #>  [3464,] 1.415909e-05 1.239551e-05 #>  [3465,] 1.332416e-05 1.184850e-05 #>  [3466,] 5.091068e-05 5.043608e-05 #>  [3467,] 5.308336e-05 3.739524e-05 #>  [3468,] 2.184657e-05 1.221377e-05 #>  [3469,] 1.361840e-04 4.021897e-05 #>  [3470,] 2.088733e-05 1.482407e-05 #>  [3471,] 1.640065e-05 1.249348e-05 #>  [3472,] 1.761099e-05 1.900105e-05 #>  [3473,] 1.633837e-05 1.744322e-05 #>  [3474,] 7.203049e-05 5.785234e-04 #>  [3475,] 1.374513e-05 1.238536e-05 #>  [3476,] 9.263879e-05 3.165956e-05 #>  [3477,] 1.471381e-04 3.449520e-05 #>  [3478,] 2.708285e-05 5.750023e-05 #>  [3479,] 4.350837e-05 1.488083e-05 #>  [3480,] 1.746304e-05 1.611296e-05 #>  [3481,] 1.554070e-05 1.282911e-05 #>  [3482,] 1.298537e-05 1.178732e-05 #>  [3483,] 1.355515e-05 1.263811e-05 #>  [3484,] 1.736932e-05 2.765533e-05 #>  [3485,] 1.624318e-05 1.165138e-05 #>  [3486,] 4.221123e-05 3.890375e-05 #>  [3487,] 1.144681e-05 9.962419e-06 #>  [3488,] 2.633031e-05 4.532369e-05 #>  [3489,] 4.271129e-05 2.406719e-05 #>  [3490,] 2.132700e-05 1.532105e-05 #>  [3491,] 1.972241e-05 1.473192e-05 #>  [3492,] 1.148922e-05 1.072509e-05 #>  [3493,] 1.452908e-05 1.272323e-05 #>  [3494,] 1.081468e-05 1.120859e-05 #>  [3495,] 8.085635e-05 2.028344e-05 #>  [3496,] 1.348357e-05 1.180854e-05 #>  [3497,] 1.198102e-05 1.208931e-05 #>  [3498,] 4.468584e-05 4.610908e-05 #>  [3499,] 1.356355e-05 1.260058e-05 #>  [3500,] 3.457276e-05 6.531754e-05 #>  [3501,] 3.453059e-05 2.469952e-05 #>  [3502,] 1.178329e-05 9.834992e-06 #>  [3503,] 1.439174e-04 2.975597e-05 #>  [3504,] 1.979156e-04 1.487692e-04 #>  [3505,] 1.817952e-05 1.454635e-05 #>  [3506,] 1.956580e-05 2.699615e-05 #>  [3507,] 1.429753e-05 1.254891e-05 #>  [3508,] 1.768100e-05 1.514757e-05 #>  [3509,] 2.182669e-05 2.287226e-05 #>  [3510,] 1.432142e-05 1.318697e-05 #>  [3511,] 1.852865e-05 1.271279e-05 #>  [3512,] 2.601996e-05 3.002752e-05 #>  [3513,] 1.079056e-05 1.145283e-05 #>  [3514,] 2.767525e-05 1.956292e-05 #>  [3515,] 1.445039e-05 1.154861e-05 #>  [3516,] 2.230999e-05 3.593183e-05 #>  [3517,] 1.293218e-05 1.189828e-05 #>  [3518,] 1.995118e-05 2.792229e-05 #>  [3519,] 1.506394e-05 1.415722e-05 #>  [3520,] 1.389827e-05 1.221227e-05 #>  [3521,] 1.328737e-05 1.251448e-05 #>  [3522,] 1.188129e-04 5.030535e-05 #>  [3523,] 3.197197e-04 5.910285e-04 #>  [3524,] 1.297710e-05 1.299424e-05 #>  [3525,] 1.596894e-05 1.303269e-05 #>  [3526,] 1.634588e-05 1.257584e-05 #>  [3527,] 1.203441e-05 1.068799e-05 #>  [3528,] 1.889783e-05 2.042765e-05 #>  [3529,] 2.109251e-05 1.421811e-05 #>  [3530,] 1.688102e-04 2.860993e-05 #>  [3531,] 1.906346e-05 1.238275e-05 #>  [3532,] 1.845795e-05 2.058945e-05 #>  [3533,] 5.367029e-05 1.792630e-05 #>  [3534,] 1.436359e-05 1.189319e-05 #>  [3535,] 1.066877e-05 1.085300e-05 #>  [3536,] 1.823513e-05 2.330224e-05 #>  [3537,] 1.708307e-05 1.356741e-05 #>  [3538,] 1.735919e-05 2.059431e-05 #>  [3539,] 1.535920e-05 1.092518e-05 #>  [3540,] 1.455812e-05 1.292937e-05 #>  [3541,] 8.435195e-05 1.605894e-04 #>  [3542,] 1.175120e-05 1.114024e-05 #>  [3543,] 2.737834e-05 1.494106e-05 #>  [3544,] 1.651348e-05 1.540906e-05 #>  [3545,] 1.420609e-05 1.434787e-05 #>  [3546,] 2.076675e-05 1.471358e-05 #>  [3547,] 1.423222e-05 1.744156e-05 #>  [3548,] 1.322505e-05 1.087606e-05 #>  [3549,] 1.667080e-05 1.340588e-05 #>  [3550,] 3.517291e-04 5.425149e-04 #>  [3551,] 2.115003e-04 6.612434e-05 #>  [3552,] 1.587112e-05 3.381179e-05 #>  [3553,] 3.447050e-05 3.498187e-05 #>  [3554,] 1.741252e-05 1.641488e-05 #>  [3555,] 1.224314e-05 1.659532e-05 #>  [3556,] 1.263232e-05 1.108001e-05 #>  [3557,] 1.456295e-05 1.201126e-05 #>  [3558,] 4.260556e-05 1.315682e-05 #>  [3559,] 1.410438e-05 1.188665e-05 #>  [3560,] 1.536379e-05 1.404633e-05 #>  [3561,] 1.373565e-05 1.148783e-05 #>  [3562,] 1.140198e-05 1.130521e-05 #>  [3563,] 1.168052e-05 1.446605e-05 #>  [3564,] 2.351822e-05 1.788857e-05 #>  [3565,] 1.509949e-05 1.252650e-05 #>  [3566,] 1.560310e-04 7.043407e-05 #>  [3567,] 2.011628e-05 1.121825e-05 #>  [3568,] 2.816922e-05 1.695193e-05 #>  [3569,] 5.599899e-05 9.693347e-05 #>  [3570,] 1.314812e-05 1.289119e-05 #>  [3571,] 4.810143e-05 1.604546e-05 #>  [3572,] 1.793176e-05 3.033043e-05 #>  [3573,] 1.837908e-05 2.206191e-05 #>  [3574,] 1.959404e-05 1.069835e-05 #>  [3575,] 1.349329e-05 1.205701e-05 #>  [3576,] 8.807277e-04 2.571104e-04 #>  [3577,] 5.527491e-05 1.978760e-05 #>  [3578,] 2.606406e-05 3.545896e-05 #>  [3579,] 1.368515e-05 1.068529e-05 #>  [3580,] 2.504773e-05 2.119142e-05 #>  [3581,] 1.755193e-05 1.599414e-05 #>  [3582,] 1.792915e-05 1.522617e-05 #>  [3583,] 1.257990e-05 1.993268e-05 #>  [3584,] 1.266625e-05 1.085164e-05 #>  [3585,] 1.431391e-05 1.181192e-05 #>  [3586,] 3.958630e-05 1.327972e-04 #>  [3587,] 2.169169e-04 4.243983e-05 #>  [3588,] 1.560311e-05 2.785613e-05 #>  [3589,] 1.445706e-05 2.032700e-05 #>  [3590,] 1.329141e-05 1.376968e-05 #>  [3591,] 1.415610e-05 1.824952e-05 #>  [3592,] 5.908948e-05 2.099957e-05 #>  [3593,] 3.390148e-04 1.063672e-04 #>  [3594,] 1.220655e-05 1.146079e-05 #>  [3595,] 4.365417e-05 1.799313e-05 #>  [3596,] 1.406166e-05 1.365926e-05 #>  [3597,] 4.058000e-05 1.711663e-05 #>  [3598,] 1.454173e-05 1.276462e-05 #>  [3599,] 2.949405e-04 7.977890e-05 #>  [3600,] 1.578004e-05 2.542199e-05 #>  [3601,] 2.679123e-05 4.099202e-04 #>  [3602,] 2.612991e-05 1.784531e-05 #>  [3603,] 1.862311e-05 1.729369e-05 #>  [3604,] 1.246137e-05 1.245856e-05 #>  [3605,] 2.453191e-04 1.494702e-04 #>  [3606,] 1.311164e-05 2.661915e-05 #>  [3607,] 1.193048e-05 1.002389e-05 #>  [3608,] 4.421740e-05 4.260104e-05 #>  [3609,] 2.521322e-04 1.305594e-04 #>  [3610,] 2.906447e-05 1.397255e-05 #>  [3611,] 1.676169e-05 1.421409e-05 #>  [3612,] 3.863394e-05 2.857285e-05 #>  [3613,] 1.507074e-05 1.348618e-05 #>  [3614,] 1.498472e-05 1.386144e-05 #>  [3615,] 3.309096e-05 3.178323e-05 #>  [3616,] 1.711098e-05 2.834879e-05 #>  [3617,] 1.431522e-05 1.264541e-05 #>  [3618,] 1.419219e-05 1.369384e-05 #>  [3619,] 7.935685e-05 3.994098e-05 #>  [3620,] 1.105017e-05 9.891833e-06 #>  [3621,] 4.905369e-05 1.731145e-05 #>  [3622,] 1.366565e-05 1.138501e-05 #>  [3623,] 1.754109e-05 1.663514e-05 #>  [3624,] 2.138849e-05 1.926678e-05 #>  [3625,] 1.210262e-05 1.289003e-05 #>  [3626,] 2.408625e-05 2.906786e-05 #>  [3627,] 1.508832e-05 1.313599e-05 #>  [3628,] 1.807329e-05 1.580945e-05 #>  [3629,] 1.692898e-05 1.484115e-05 #>  [3630,] 1.203480e-05 1.120489e-05 #>  [3631,] 1.872194e-05 1.538314e-05 #>  [3632,] 1.590491e-05 1.206244e-05 #>  [3633,] 1.489049e-05 1.294154e-05 #>  [3634,] 1.208748e-04 2.170494e-05 #>  [3635,] 1.781796e-04 1.209329e-04 #>  [3636,] 3.013500e-05 7.757623e-05 #>  [3637,] 3.722300e-05 1.814280e-05 #>  [3638,] 9.164989e-05 4.450788e-05 #>  [3639,] 1.817017e-05 1.396661e-05 #>  [3640,] 1.473841e-05 1.120473e-05 #>  [3641,] 1.791323e-05 1.409608e-05 #>  [3642,] 1.358534e-05 1.253598e-05 #>  [3643,] 1.839920e-05 1.385580e-05 #>  [3644,] 1.546705e-05 1.228694e-05 #>  [3645,] 1.336214e-05 1.144326e-05 #>  [3646,] 1.901947e-05 1.395782e-05 #>  [3647,] 1.145438e-05 1.378261e-05 #>  [3648,] 1.638302e-05 1.795456e-05 #>  [3649,] 7.283229e-05 5.930111e-05 #>  [3650,] 9.619433e-05 7.699025e-05 #>  [3651,] 1.166186e-04 5.524274e-05 #>  [3652,] 1.842872e-05 1.450358e-05 #>  [3653,] 1.647522e-05 1.294848e-05 #>  [3654,] 2.591138e-04 4.765847e-04 #>  [3655,] 2.126561e-05 1.749822e-05 #>  [3656,] 2.231817e-05 1.387191e-05 #>  [3657,] 5.228849e-05 1.865135e-05 #>  [3658,] 6.037127e-05 1.585962e-05 #>  [3659,] 1.648458e-05 1.457944e-05 #>  [3660,] 1.462511e-05 1.322081e-05 #>  [3661,] 1.554178e-05 1.406685e-05 #>  [3662,] 1.599988e-05 1.383178e-05 #>  [3663,] 1.900066e-05 1.395196e-05 #>  [3664,] 1.403392e-05 1.173215e-05 #>  [3665,] 1.304374e-05 1.452905e-05 #>  [3666,] 2.312550e-05 1.698576e-05 #>  [3667,] 1.502267e-05 1.324875e-05 #>  [3668,] 8.503141e-05 9.762916e-05 #>  [3669,] 1.842108e-05 1.234947e-05 #>  [3670,] 1.461175e-05 1.380184e-05 #>  [3671,] 9.686928e-05 1.754900e-05 #>  [3672,] 1.777694e-05 1.459635e-05 #>  [3673,] 1.135776e-05 1.085340e-05 #>  [3674,] 4.915040e-05 3.775676e-05 #>  [3675,] 1.085291e-05 1.052599e-05 #>  [3676,] 2.371253e-05 4.436731e-05 #>  [3677,] 1.769148e-04 1.697008e-04 #>  [3678,] 1.957906e-05 1.314198e-05 #>  [3679,] 1.603231e-05 1.239673e-05 #>  [3680,] 1.678912e-05 1.346379e-05 #>  [3681,] 4.894642e-05 1.835111e-05 #>  [3682,] 1.230321e-04 3.804372e-05 #>  [3683,] 2.011977e-05 1.312589e-05 #>  [3684,] 4.022819e-05 1.241378e-05 #>  [3685,] 1.558679e-05 1.193303e-05 #>  [3686,] 1.319585e-05 1.187704e-05 #>  [3687,] 1.191350e-05 1.184698e-05 #>  [3688,] 1.531062e-05 2.003314e-05 #>  [3689,] 1.368958e-05 1.159189e-05 #>  [3690,] 1.361091e-05 1.217196e-05 #>  [3691,] 2.343071e-05 1.378903e-05 #>  [3692,] 1.769947e-05 2.770561e-05 #>  [3693,] 1.629848e-05 1.221883e-05 #>  [3694,] 1.557780e-05 1.276900e-05 #>  [3695,] 1.531164e-05 1.335270e-05 #>  [3696,] 1.246811e-05 1.463107e-05 #>  [3697,] 3.541918e-05 5.191050e-05 #>  [3698,] 1.387772e-05 3.742562e-05 #>  [3699,] 1.559835e-05 1.345158e-05 #>  [3700,] 1.183724e-05 1.022916e-05 #>  [3701,] 1.610972e-05 1.301235e-05 #>  [3702,] 1.541062e-05 1.256578e-05 #>  [3703,] 1.153360e-05 1.103887e-05 #>  [3704,] 2.179260e-05 2.516314e-05 #>  [3705,] 3.376357e-05 4.104006e-05 #>  [3706,] 1.378573e-05 1.122507e-05 #>  [3707,] 3.250509e-05 1.569155e-04 #>  [3708,] 1.341786e-05 1.173796e-05 #>  [3709,] 1.459405e-05 1.231207e-05 #>  [3710,] 1.689624e-05 1.635643e-05 #>  [3711,] 5.172034e-05 3.935138e-04 #>  [3712,] 1.454338e-05 1.186738e-05 #>  [3713,] 4.269547e-05 6.494215e-05 #>  [3714,] 1.554021e-05 1.388447e-05 #>  [3715,] 2.842008e-05 9.723292e-05 #>  [3716,] 1.917390e-05 1.232189e-05 #>  [3717,] 1.337926e-05 1.230992e-05 #>  [3718,] 3.159976e-05 1.256480e-04 #>  [3719,] 1.274185e-05 2.080560e-05 #>  [3720,] 1.200634e-05 1.152824e-05 #>  [3721,] 1.526272e-05 2.389199e-05 #>  [3722,] 1.501208e-05 1.272314e-05 #>  [3723,] 3.853606e-05 1.379774e-05 #>  [3724,] 1.755416e-05 1.594372e-05 #>  [3725,] 2.194887e-05 1.627275e-05 #>  [3726,] 1.623033e-05 1.513998e-05 #>  [3727,] 1.219100e-05 1.111451e-05 #>  [3728,] 1.484854e-05 1.289507e-05 #>  [3729,] 3.369476e-05 2.288007e-05 #>  [3730,] 1.981323e-05 1.599292e-05 #>  [3731,] 1.495251e-05 1.356462e-05 #>  [3732,] 1.516008e-05 1.604153e-05 #>  [3733,] 1.535765e-05 1.496001e-05 #>  [3734,] 7.792315e-05 1.986037e-05 #>  [3735,] 2.576656e-05 2.172594e-05 #>  [3736,] 1.360687e-05 1.366034e-05 #>  [3737,] 1.427367e-05 1.336796e-05 #>  [3738,] 1.817439e-05 1.367307e-05 #>  [3739,] 1.323254e-05 1.031957e-05 #>  [3740,] 1.077467e-05 9.917744e-06 #>  [3741,] 1.922610e-05 2.325543e-04 #>  [3742,] 1.820478e-05 1.244956e-05 #>  [3743,] 1.381183e-05 1.481737e-05 #>  [3744,] 1.525361e-04 1.310342e-04 #>  [3745,] 1.775279e-04 1.508862e-04 #>  [3746,] 1.217039e-05 1.196115e-05 #>  [3747,] 1.398892e-05 1.198141e-05 #>  [3748,] 2.952875e-05 2.258015e-05 #>  [3749,] 1.195887e-05 1.137945e-05 #>  [3750,] 1.217726e-05 1.333247e-05 #>  [3751,] 1.210891e-05 1.250795e-05 #>  [3752,] 1.691664e-05 1.275937e-05 #>  [3753,] 6.409986e-05 6.503291e-05 #>  [3754,] 1.026668e-05 9.638292e-06 #>  [3755,] 2.421006e-05 1.724635e-05 #>  [3756,] 1.104708e-05 1.245843e-05 #>  [3757,] 1.270079e-05 1.245745e-05 #>  [3758,] 3.479810e-04 7.055122e-04 #>  [3759,] 1.509172e-05 1.244054e-05 #>  [3760,] 3.373667e-05 2.148465e-05 #>  [3761,] 1.496336e-05 1.391169e-05 #>  [3762,] 1.044058e-05 9.511150e-06 #>  [3763,] 1.257831e-05 1.080322e-05 #>  [3764,] 1.520681e-05 1.242796e-05 #>  [3765,] 3.061124e-05 2.378439e-05 #>  [3766,] 1.402455e-05 2.507055e-05 #>  [3767,] 2.444386e-05 2.952756e-05 #>  [3768,] 1.462547e-05 1.210309e-05 #>  [3769,] 1.277058e-05 1.198608e-05 #>  [3770,] 1.778754e-05 1.408921e-05 #>  [3771,] 5.385061e-05 4.499967e-05 #>  [3772,] 1.697347e-05 1.400106e-05 #>  [3773,] 2.290831e-05 1.317531e-05 #>  [3774,] 1.838340e-05 1.238419e-05 #>  [3775,] 1.518139e-05 1.491136e-05 #>  [3776,] 2.071957e-05 1.412700e-05 #>  [3777,] 1.156656e-05 1.350277e-05 #>  [3778,] 1.422789e-05 3.247214e-05 #>  [3779,] 9.026079e-05 8.791663e-05 #>  [3780,] 1.883964e-05 2.159921e-05 #>  [3781,] 1.067090e-05 9.380313e-06 #>  [3782,] 1.289799e-05 1.148818e-05 #>  [3783,] 1.730373e-04 5.315117e-04 #>  [3784,] 1.753012e-05 6.991054e-04 #>  [3785,] 1.902101e-05 2.370670e-05 #>  [3786,] 1.679087e-05 1.320385e-05 #>  [3787,] 1.818097e-05 2.174615e-05 #>  [3788,] 1.410861e-05 1.243376e-05 #>  [3789,] 5.183041e-05 3.719738e-05 #>  [3790,] 3.644346e-05 4.258497e-05 #>  [3791,] 5.608331e-05 1.771283e-05 #>  [3792,] 2.284864e-05 2.116379e-05 #>  [3793,] 4.492433e-05 5.718880e-05 #>  [3794,] 1.602028e-05 2.170948e-05 #>  [3795,] 1.114777e-05 1.090851e-05 #>  [3796,] 6.090828e-05 1.670065e-05 #>  [3797,] 2.516558e-04 8.013512e-05 #>  [3798,] 1.132440e-05 9.984620e-06 #>  [3799,] 1.650600e-05 1.433556e-05 #>  [3800,] 1.609292e-04 4.628445e-05 #>  [3801,] 3.043088e-05 2.133369e-05 #>  [3802,] 7.226304e-04 4.996582e-04 #>  [3803,] 2.308287e-05 1.161563e-05 #>  [3804,] 2.766273e-05 1.214726e-05 #>  [3805,] 1.359151e-05 1.175439e-05 #>  [3806,] 1.795674e-05 1.415368e-05 #>  [3807,] 7.659185e-05 2.348784e-05 #>  [3808,] 1.390868e-05 1.222462e-05 #>  [3809,] 4.784731e-05 6.359132e-05 #>  [3810,] 3.964995e-05 2.464433e-05 #>  [3811,] 1.349988e-05 1.269554e-05 #>  [3812,] 4.560765e-05 2.916942e-05 #>  [3813,] 7.421478e-05 1.491100e-05 #>  [3814,] 1.577683e-05 1.462253e-05 #>  [3815,] 1.185344e-05 1.696668e-05 #>  [3816,] 1.662661e-05 1.401922e-05 #>  [3817,] 1.589215e-05 1.528907e-05 #>  [3818,] 1.790079e-05 1.224664e-05 #>  [3819,] 1.279671e-05 1.282401e-05 #>  [3820,] 1.849770e-05 1.243210e-05 #>  [3821,] 2.386983e-05 2.921013e-05 #>  [3822,] 1.932460e-04 1.625351e-04 #>  [3823,] 1.902322e-05 1.435617e-05 #>  [3824,] 1.395275e-05 1.936717e-05 #>  [3825,] 1.201502e-05 1.185758e-05 #>  [3826,] 1.198678e-05 3.094972e-05 #>  [3827,] 1.539111e-05 1.312813e-05 #>  [3828,] 1.694560e-05 1.489605e-05 #>  [3829,] 1.341022e-05 1.349134e-05 #>  [3830,] 1.618118e-05 1.375141e-05 #>  [3831,] 2.296029e-05 1.697777e-05 #>  [3832,] 1.410270e-05 1.146613e-05 #>  [3833,] 1.749361e-05 1.335955e-05 #>  [3834,] 1.388662e-05 1.217520e-05 #>  [3835,] 1.714671e-05 1.761984e-05 #>  [3836,] 2.259972e-04 2.181501e-04 #>  [3837,] 1.337779e-05 1.240513e-05 #>  [3838,] 2.634580e-05 2.002859e-05 #>  [3839,] 1.178860e-05 1.247409e-05 #>  [3840,] 2.481659e-05 5.362159e-05 #>  [3841,] 1.356637e-05 1.255487e-05 #>  [3842,] 2.296760e-05 2.042076e-05 #>  [3843,] 1.131168e-05 1.010519e-05 #>  [3844,] 1.543797e-05 1.742537e-05 #>  [3845,] 1.312254e-05 1.181624e-05 #>  [3846,] 1.779342e-05 1.385893e-05 #>  [3847,] 1.222625e-04 4.090218e-04 #>  [3848,] 1.180671e-05 1.070245e-05 #>  [3849,] 1.289090e-05 1.556348e-05 #>  [3850,] 5.540292e-05 2.583281e-05 #>  [3851,] 2.657566e-04 1.226855e-04 #>  [3852,] 4.022295e-05 4.068223e-05 #>  [3853,] 1.300086e-05 1.210650e-05 #>  [3854,] 1.986201e-05 1.303420e-05 #>  [3855,] 1.394864e-05 1.943126e-05 #>  [3856,] 1.268449e-05 1.074603e-05 #>  [3857,] 1.293609e-05 1.290799e-05 #>  [3858,] 2.150375e-05 5.796949e-05 #>  [3859,] 7.640948e-05 3.850170e-05 #>  [3860,] 2.068255e-05 1.769856e-05 #>  [3861,] 2.034270e-05 1.725625e-05 #>  [3862,] 1.479309e-05 1.352782e-05 #>  [3863,] 1.099937e-04 6.992482e-05 #>  [3864,] 1.713184e-05 1.371170e-05 #>  [3865,] 3.108373e-05 1.343745e-05 #>  [3866,] 4.851621e-04 7.359843e-05 #>  [3867,] 1.284531e-05 1.210265e-05 #>  [3868,] 5.471917e-05 1.530893e-05 #>  [3869,] 1.557925e-05 2.191630e-05 #>  [3870,] 2.100359e-05 1.601334e-05 #>  [3871,] 1.380809e-05 1.291747e-05 #>  [3872,] 1.627886e-04 6.306227e-05 #>  [3873,] 1.167347e-05 1.186619e-05 #>  [3874,] 2.410069e-05 8.222006e-05 #>  [3875,] 1.986269e-05 1.336237e-05 #>  [3876,] 3.947996e-04 2.612125e-04 #>  [3877,] 1.747039e-05 1.364464e-05 #>  [3878,] 1.127481e-04 3.179033e-05 #>  [3879,] 3.381395e-05 7.185930e-05 #>  [3880,] 2.610847e-04 1.635805e-04 #>  [3881,] 7.574607e-05 1.697779e-05 #>  [3882,] 6.379582e-05 4.966635e-05 #>  [3883,] 2.501329e-05 1.698504e-05 #>  [3884,] 5.151237e-04 4.572064e-05 #>  [3885,] 2.252902e-05 1.753977e-05 #>  [3886,] 1.888215e-05 1.283020e-05 #>  [3887,] 1.123984e-04 1.383033e-04 #>  [3888,] 1.805901e-05 1.568101e-05 #>  [3889,] 1.388421e-04 2.174221e-05 #>  [3890,] 1.596122e-05 1.252849e-05 #>  [3891,] 1.568852e-05 1.931548e-05 #>  [3892,] 3.559941e-05 3.947917e-05 #>  [3893,] 2.651426e-05 1.071135e-04 #>  [3894,] 1.581598e-05 1.485817e-05 #>  [3895,] 1.573968e-05 1.122654e-05 #>  [3896,] 1.647874e-05 3.656023e-05 #>  [3897,] 2.584777e-05 2.095409e-05 #>  [3898,] 2.671819e-05 1.314706e-05 #>  [3899,] 1.480884e-05 1.390895e-05 #>  [3900,] 1.832296e-05 1.417640e-05 #>  [3901,] 3.634714e-05 1.658876e-05 #>  [3902,] 2.318025e-05 1.635162e-05 #>  [3903,] 2.000870e-05 1.718730e-05 #>  [3904,] 1.860429e-05 1.341888e-05 #>  [3905,] 4.474824e-05 7.345165e-05 #>  [3906,] 1.605623e-05 1.574264e-05 #>  [3907,] 2.238734e-05 1.487512e-05 #>  [3908,] 1.610915e-05 1.132576e-05 #>  [3909,] 1.468220e-05 1.344536e-05 #>  [3910,] 4.197677e-05 2.179457e-05 #>  [3911,] 2.544409e-05 2.239662e-05 #>  [3912,] 2.184041e-04 1.075547e-03 #>  [3913,] 4.572738e-05 5.942929e-05 #>  [3914,] 1.634821e-05 1.248422e-05 #>  [3915,] 1.689049e-05 1.362202e-05 #>  [3916,] 1.794074e-05 1.454343e-05 #>  [3917,] 1.069652e-05 9.489607e-06 #>  [3918,] 1.579501e-05 1.401850e-05 #>  [3919,] 2.615281e-05 1.812456e-05 #>  [3920,] 1.479865e-05 2.007335e-05 #>  [3921,] 2.247666e-05 3.900042e-05 #>  [3922,] 1.372951e-05 1.026940e-05 #>  [3923,] 1.621820e-05 1.267649e-05 #>  [3924,] 2.089901e-05 1.598671e-05 #>  [3925,] 2.263940e-05 1.402626e-05 #>  [3926,] 3.060939e-05 2.889533e-05 #>  [3927,] 1.715217e-05 1.501406e-05 #>  [3928,] 1.497257e-05 1.623764e-05 #>  [3929,] 2.041000e-05 1.827698e-05 #>  [3930,] 1.485463e-05 1.271789e-05 #>  [3931,] 1.395953e-05 1.130412e-05 #>  [3932,] 1.177020e-05 1.229375e-05 #>  [3933,] 9.343162e-05 2.365525e-05 #>  [3934,] 5.904983e-05 1.610013e-04 #>  [3935,] 2.220764e-05 2.200027e-05 #>  [3936,] 1.462275e-05 1.795323e-05 #>  [3937,] 1.274914e-05 1.087346e-05 #>  [3938,] 1.630586e-05 1.441225e-05 #>  [3939,] 8.457091e-05 6.408135e-05 #>  [3940,] 4.414357e-05 1.654075e-05 #>  [3941,] 1.678084e-05 1.240615e-05 #>  [3942,] 1.663215e-05 1.509921e-05 #>  [3943,] 1.828944e-05 1.499713e-05 #>  [3944,] 2.435936e-05 1.223856e-05 #>  [3945,] 1.476169e-05 1.315903e-05 #>  [3946,] 1.008405e-03 2.498611e-04 #>  [3947,] 2.031747e-05 1.767247e-05 #>  [3948,] 1.880871e-05 1.397737e-05 #>  [3949,] 1.613568e-05 1.441343e-05 #>  [3950,] 8.888229e-04 6.327188e-04 #>  [3951,] 4.616466e-05 5.804546e-05 #>  [3952,] 1.484709e-05 1.310450e-05 #>  [3953,] 1.433649e-05 1.326500e-05 #>  [3954,] 1.097901e-05 1.067273e-05 #>  [3955,] 1.643803e-05 1.371313e-05 #>  [3956,] 2.447108e-05 4.624263e-05 #>  [3957,] 2.279881e-05 1.398623e-05 #>  [3958,] 9.557005e-04 3.086032e-04 #>  [3959,] 1.358567e-05 1.276409e-05 #>  [3960,] 1.900259e-05 1.548174e-05 #>  [3961,] 1.188790e-05 1.123221e-05 #>  [3962,] 1.613949e-05 1.238567e-05 #>  [3963,] 2.275816e-05 1.222747e-05 #>  [3964,] 2.159452e-05 2.146625e-05 #>  [3965,] 1.313091e-05 1.768495e-05 #>  [3966,] 2.097067e-05 1.491681e-05 #>  [3967,] 2.111138e-05 4.038696e-05 #>  [3968,] 1.931783e-05 1.495552e-05 #>  [3969,] 1.389624e-05 1.151650e-05 #>  [3970,] 6.358839e-05 1.825052e-05 #>  [3971,] 3.816075e-05 1.724282e-05 #>  [3972,] 1.667189e-05 1.434156e-05 #>  [3973,] 7.320566e-04 6.863892e-05 #>  [3974,] 1.370447e-05 1.295566e-05 #>  [3975,] 1.350500e-05 1.515156e-05 #>  [3976,] 6.038127e-05 1.124994e-04 #>  [3977,] 1.830386e-05 1.803943e-05 #>  [3978,] 1.199488e-05 1.139905e-05 #>  [3979,] 1.263117e-04 5.122422e-05 #>  [3980,] 1.208564e-04 2.508723e-05 #>  [3981,] 1.934694e-05 1.523454e-05 #>  [3982,] 5.572930e-05 2.756127e-05 #>  [3983,] 2.108054e-05 2.477865e-05 #>  [3984,] 2.135392e-05 2.043218e-05 #>  [3985,] 2.254806e-04 8.089178e-04 #>  [3986,] 1.191472e-05 1.286841e-05 #>  [3987,] 4.399014e-04 1.684239e-04 #>  [3988,] 3.550593e-04 1.497872e-04 #>  [3989,] 2.063751e-05 1.419253e-05 #>  [3990,] 2.128850e-05 1.341711e-05 #>  [3991,] 1.734947e-05 1.494918e-05 #>  [3992,] 2.470889e-05 1.680614e-05 #>  [3993,] 1.564715e-05 1.339521e-05 #>  [3994,] 1.570443e-05 1.279390e-05 #>  [3995,] 1.093874e-05 9.981690e-06 #>  [3996,] 1.815581e-05 1.397252e-05 #>  [3997,] 1.707707e-05 1.367187e-05 #>  [3998,] 3.188942e-05 4.006909e-05 #>  [3999,] 8.156004e-05 6.589826e-05 #>  [4000,] 1.538126e-05 1.590093e-05 #>  [4001,] 1.543007e-05 1.399730e-05 #>  [4002,] 8.464835e-05 1.484399e-05 #>  [4003,] 1.734843e-05 1.808963e-05 #>  [4004,] 1.583165e-05 1.100578e-05 #>  [4005,] 1.317663e-05 1.063548e-05 #>  [4006,] 1.385041e-05 1.397991e-05 #>  [4007,] 2.514544e-05 1.348424e-04 #>  [4008,] 1.530830e-05 1.315449e-05 #>  [4009,] 1.284614e-05 1.282337e-05 #>  [4010,] 1.511440e-05 1.338809e-05 #>  [4011,] 1.387888e-05 1.148624e-05 #>  [4012,] 1.514869e-05 1.219970e-05 #>  [4013,] 1.122110e-05 1.098068e-05 #>  [4014,] 2.699882e-04 5.342430e-04 #>  [4015,] 2.153306e-04 7.161121e-05 #>  [4016,] 2.712827e-05 1.351584e-05 #>  [4017,] 1.768118e-05 1.580819e-05 #>  [4018,] 1.563586e-05 1.336882e-05 #>  [4019,] 1.922515e-05 1.681691e-05 #>  [4020,] 1.527964e-05 1.524700e-05 #>  [4021,] 1.498776e-05 1.169775e-05 #>  [4022,] 1.580587e-05 1.538074e-05 #>  [4023,] 3.791155e-05 2.243848e-05 #>  [4024,] 5.459242e-05 4.361924e-05 #>  [4025,] 4.808536e-05 3.878336e-05 #>  [4026,] 1.060347e-05 1.041763e-05 #>  [4027,] 1.720545e-05 2.043627e-05 #>  [4028,] 8.139418e-05 1.234113e-04 #>  [4029,] 1.191190e-05 1.138100e-05 #>  [4030,] 4.811480e-05 3.663596e-05 #>  [4031,] 1.234814e-05 1.142838e-05 #>  [4032,] 1.617517e-05 1.330954e-05 #>  [4033,] 4.180807e-05 2.171377e-05 #>  [4034,] 1.146844e-05 1.306955e-05 #>  [4035,] 5.906410e-05 7.029489e-05 #>  [4036,] 2.228527e-05 1.760817e-05 #>  [4037,] 4.987926e-05 3.747609e-05 #>  [4038,] 1.652597e-05 1.208179e-05 #>  [4039,] 4.777027e-05 2.605898e-05 #>  [4040,] 4.148368e-05 1.696903e-05 #>  [4041,] 1.439470e-05 1.322370e-05 #>  [4042,] 3.058289e-05 1.981566e-05 #>  [4043,] 1.130946e-05 1.227469e-05 #>  [4044,] 7.824197e-05 3.060441e-04 #>  [4045,] 2.050480e-05 1.581702e-05 #>  [4046,] 3.388541e-05 1.409935e-05 #>  [4047,] 1.131576e-05 1.048677e-05 #>  [4048,] 1.233542e-05 1.098214e-05 #>  [4049,] 2.548851e-05 1.388466e-05 #>  [4050,] 3.913790e-05 1.393791e-04 #>  [4051,] 1.350599e-05 1.173561e-05 #>  [4052,] 1.527082e-05 1.322062e-05 #>  [4053,] 3.163568e-05 2.488498e-05 #>  [4054,] 1.506402e-05 1.347692e-05 #>  [4055,] 1.150494e-05 1.060048e-05 #>  [4056,] 1.261187e-05 1.308954e-05 #>  [4057,] 1.014026e-04 2.723435e-05 #>  [4058,] 1.505776e-04 6.608736e-05 #>  [4059,] 1.202006e-05 1.069783e-05 #>  [4060,] 1.998966e-05 1.579015e-05 #>  [4061,] 2.188874e-05 2.028648e-05 #>  [4062,] 1.635324e-05 1.100457e-05 #>  [4063,] 5.854113e-05 1.688720e-05 #>  [4064,] 8.188012e-05 1.647835e-05 #>  [4065,] 1.551482e-04 1.008986e-04 #>  [4066,] 1.362863e-05 1.203675e-05 #>  [4067,] 1.451385e-05 1.284067e-05 #>  [4068,] 1.485267e-05 1.403272e-05 #>  [4069,] 3.452622e-05 1.478601e-05 #>  [4070,] 1.736656e-05 1.562116e-05 #>  [4071,] 1.503332e-05 1.547798e-05 #>  [4072,] 7.626020e-05 2.123574e-05 #>  [4073,] 1.154900e-05 1.233853e-05 #>  [4074,] 2.016583e-05 1.344843e-05 #>  [4075,] 1.594990e-04 4.317262e-05 #>  [4076,] 2.039503e-05 1.365869e-05 #>  [4077,] 1.509020e-05 1.298041e-05 #>  [4078,] 1.328535e-05 1.235530e-05 #>  [4079,] 1.533914e-05 1.411443e-05 #>  [4080,] 1.770612e-05 1.753428e-05 #>  [4081,] 1.682625e-05 1.122071e-05 #>  [4082,] 1.424119e-05 2.508631e-05 #>  [4083,] 1.554405e-05 1.612106e-05 #>  [4084,] 1.109627e-04 5.562729e-05 #>  [4085,] 1.613381e-05 1.454882e-05 #>  [4086,] 2.265696e-05 1.515059e-05 #>  [4087,] 1.772844e-05 5.514305e-05 #>  [4088,] 1.129435e-05 1.067149e-05 #>  [4089,] 1.362455e-05 1.290942e-05 #>  [4090,] 1.668571e-05 1.844999e-05 #>  [4091,] 5.665540e-05 8.796451e-05 #>  [4092,] 1.779689e-05 1.693640e-05 #>  [4093,] 2.239653e-05 2.054304e-05 #>  [4094,] 1.794616e-05 1.355555e-05 #>  [4095,] 1.380847e-05 1.247606e-05 #>  [4096,] 3.224138e-04 2.800413e-04 #>  [4097,] 1.928361e-05 1.919922e-05 #>  [4098,] 1.620789e-05 1.521329e-05 #>  [4099,] 1.538374e-05 1.520617e-05 #>  [4100,] 2.689676e-04 7.519199e-05 #>  [4101,] 2.222261e-05 2.003649e-05 #>  [4102,] 3.149687e-04 6.022441e-04 #>  [4103,] 2.501335e-05 2.774448e-05 #>  [4104,] 4.212696e-05 3.911430e-05 #>  [4105,] 1.503978e-04 2.374738e-05 #>  [4106,] 3.797878e-05 2.365298e-05 #>  [4107,] 1.653326e-05 3.879647e-05 #>  [4108,] 1.305481e-05 1.201167e-05 #>  [4109,] 8.279284e-05 2.556338e-05 #>  [4110,] 1.703204e-05 1.278738e-05 #>  [4111,] 8.700578e-05 1.885699e-05 #>  [4112,] 5.168279e-05 3.172865e-05 #>  [4113,] 1.257683e-05 1.469386e-05 #>  [4114,] 1.559252e-05 1.334558e-05 #>  [4115,] 1.193062e-05 1.312144e-05 #>  [4116,] 1.224149e-05 1.108303e-05 #>  [4117,] 3.801904e-05 4.043636e-05 #>  [4118,] 1.477147e-05 1.290935e-05 #>  [4119,] 1.449329e-05 1.090513e-05 #>  [4120,] 1.021366e-03 6.409766e-04 #>  [4121,] 1.571800e-04 9.249035e-05 #>  [4122,] 1.373507e-05 1.191171e-05 #>  [4123,] 1.137597e-05 1.204066e-05 #>  [4124,] 1.565852e-05 1.588540e-05 #>  [4125,] 3.174272e-05 1.625910e-05 #>  [4126,] 1.541669e-05 1.271172e-05 #>  [4127,] 1.252433e-05 1.289336e-05 #>  [4128,] 1.025909e-05 9.406010e-06 #>  [4129,] 1.583224e-05 1.267172e-05 #>  [4130,] 1.375523e-05 1.390881e-05 #>  [4131,] 4.245124e-04 1.915889e-04 #>  [4132,] 1.212631e-05 1.364055e-05 #>  [4133,] 1.174591e-05 1.093067e-05 #>  [4134,] 1.391054e-05 1.126972e-05 #>  [4135,] 1.703213e-05 1.376819e-05 #>  [4136,] 1.226257e-05 1.180992e-05 #>  [4137,] 1.351629e-05 1.146153e-05 #>  [4138,] 7.129166e-04 3.700059e-04 #>  [4139,] 3.249499e-05 1.433148e-05 #>  [4140,] 1.814665e-05 1.461253e-05 #>  [4141,] 1.286202e-05 1.171802e-05 #>  [4142,] 1.319799e-05 1.198144e-05 #>  [4143,] 1.765909e-05 1.301430e-05 #>  [4144,] 3.760380e-05 4.461312e-05 #>  [4145,] 1.216333e-05 1.129424e-05 #>  [4146,] 1.589231e-05 2.748827e-05 #>  [4147,] 2.621341e-05 2.385593e-05 #>  [4148,] 3.059443e-04 4.262869e-05 #>  [4149,] 1.139559e-04 2.258703e-04 #>  [4150,] 2.618655e-05 1.717109e-05 #>  [4151,] 1.372633e-05 1.173881e-05 #>  [4152,] 2.371871e-05 2.344896e-05 #>  [4153,] 1.349756e-05 1.302408e-05 #>  [4154,] 1.584050e-05 1.387584e-05 #>  [4155,] 1.528847e-05 1.221389e-05 #>  [4156,] 1.161585e-05 1.103964e-05 #>  [4157,] 4.351702e-05 6.633522e-05 #>  [4158,] 1.113921e-05 8.873007e-06 #>  [4159,] 1.895687e-05 2.323865e-05 #>  [4160,] 1.551129e-05 1.538128e-05 #>  [4161,] 4.091705e-05 1.772512e-05 #>  [4162,] 1.883642e-05 3.918471e-05 #>  [4163,] 1.455027e-05 1.146172e-05 #>  [4164,] 1.603644e-05 1.363276e-05 #>  [4165,] 1.257113e-05 1.061960e-05 #>  [4166,] 1.656275e-05 1.458704e-05 #>  [4167,] 1.235255e-04 2.088812e-05 #>  [4168,] 1.307617e-05 1.141893e-05 #>  [4169,] 1.628802e-05 1.539156e-05 #>  [4170,] 1.313375e-05 1.184226e-05 #>  [4171,] 1.248256e-05 1.039144e-05 #>  [4172,] 1.627718e-05 1.743556e-05 #>  [4173,] 2.482514e-05 1.816503e-05 #>  [4174,] 2.878693e-05 1.973635e-04 #>  [4175,] 1.311425e-05 1.197598e-05 #>  [4176,] 1.532903e-05 1.302771e-05 #>  [4177,] 1.573388e-05 1.578059e-05 #>  [4178,] 2.760688e-05 1.684464e-05 #>  [4179,] 1.655455e-05 1.724051e-05 #>  [4180,] 2.839718e-05 4.813538e-05 #>  [4181,] 1.751855e-05 2.126873e-05 #>  [4182,] 1.422121e-05 1.218630e-05 #>  [4183,] 1.556708e-05 1.289631e-05 #>  [4184,] 1.555472e-05 1.259476e-05 #>  [4185,] 1.508005e-05 1.314561e-05 #>  [4186,] 1.716732e-05 1.465002e-05 #>  [4187,] 1.698292e-05 1.371017e-05 #>  [4188,] 1.212936e-05 1.634633e-05 #>  [4189,] 1.580149e-05 1.314571e-05 #>  [4190,] 1.666087e-05 1.354747e-05 #>  [4191,] 1.594481e-05 1.213772e-05 #>  [4192,] 2.958579e-05 4.132091e-05 #>  [4193,] 1.775394e-05 1.304627e-05 #>  [4194,] 2.782917e-05 3.619991e-05 #>  [4195,] 1.286007e-05 1.143243e-05 #>  [4196,] 1.711797e-05 1.226312e-05 #>  [4197,] 1.503107e-05 1.827588e-05 #>  [4198,] 2.636139e-05 2.337239e-05 #>  [4199,] 2.608449e-05 1.300066e-05 #>  [4200,] 1.520108e-05 1.481035e-05 #>  [4201,] 1.656733e-05 1.436547e-05 #>  [4202,] 2.384512e-05 3.138053e-05 #>  [4203,] 1.180566e-05 1.067274e-05 #>  [4204,] 1.477474e-05 1.234990e-05 #>  [4205,] 1.719425e-05 3.359261e-05 #>  [4206,] 2.807993e-05 2.978262e-05 #>  [4207,] 1.371487e-05 1.494873e-05 #>  [4208,] 9.105160e-05 2.045781e-05 #>  [4209,] 1.861222e-05 1.827140e-05 #>  [4210,] 1.434593e-05 1.212262e-05 #>  [4211,] 1.664823e-05 1.393372e-05 #>  [4212,] 2.922988e-04 1.353207e-04 #>  [4213,] 3.056509e-05 3.496798e-05 #>  [4214,] 1.383465e-05 1.121730e-05 #>  [4215,] 4.157094e-05 2.271521e-05 #>  [4216,] 2.875499e-04 3.111469e-04 #>  [4217,] 3.189513e-05 5.047882e-05 #>  [4218,] 1.486091e-05 1.167875e-05 #>  [4219,] 1.287482e-05 1.049372e-05 #>  [4220,] 4.784404e-05 1.492751e-05 #>  [4221,] 3.189554e-05 7.713918e-05 #>  [4222,] 1.655053e-05 1.791468e-05 #>  [4223,] 2.026904e-05 1.787110e-05 #>  [4224,] 2.800623e-05 1.694034e-05 #>  [4225,] 1.942970e-04 2.359059e-05 #>  [4226,] 3.443072e-05 3.476865e-05 #>  [4227,] 1.125172e-05 1.009763e-05 #>  [4228,] 4.313037e-05 2.241221e-05 #>  [4229,] 1.385271e-05 1.169429e-05 #>  [4230,] 1.398991e-05 1.142397e-05 #>  [4231,] 1.538244e-05 1.298717e-05 #>  [4232,] 2.411630e-04 6.301947e-04 #>  [4233,] 3.174936e-04 2.505742e-04 #>  [4234,] 1.734550e-05 1.735393e-05 #>  [4235,] 1.374072e-05 1.462556e-05 #>  [4236,] 2.655162e-05 2.361393e-05 #>  [4237,] 2.403886e-05 2.980097e-05 #>  [4238,] 1.317846e-05 2.023496e-05 #>  [4239,] 8.081837e-05 1.998678e-04 #>  [4240,] 3.657883e-05 4.114064e-05 #>  [4241,] 1.248663e-05 1.253582e-05 #>  [4242,] 1.184063e-03 1.893584e-04 #>  [4243,] 2.683240e-05 1.398728e-05 #>  [4244,] 2.076701e-05 1.878865e-05 #>  [4245,] 1.543211e-05 1.546648e-05 #>  [4246,] 4.929567e-05 1.290009e-05 #>  [4247,] 3.201945e-04 2.283984e-05 #>  [4248,] 3.995608e-05 3.035888e-05 #>  [4249,] 1.429061e-05 1.263151e-05 #>  [4250,] 1.387633e-05 1.321390e-05 #>  [4251,] 3.875849e-05 2.341434e-05 #>  [4252,] 2.336846e-05 2.223462e-05 #>  [4253,] 2.160859e-05 1.329654e-05 #>  [4254,] 1.427762e-05 1.466344e-05 #>  [4255,] 7.725037e-05 8.754383e-05 #>  [4256,] 9.796767e-05 8.881917e-05 #>  [4257,] 2.879302e-05 1.784053e-05 #>  [4258,] 1.559069e-05 1.381734e-05 #>  [4259,] 1.776319e-05 1.515027e-05 #>  [4260,] 1.236211e-05 1.083285e-05 #>  [4261,] 1.399412e-05 1.199107e-05 #>  [4262,] 5.507709e-04 1.037895e-03 #>  [4263,] 1.600978e-04 3.259730e-05 #>  [4264,] 1.334156e-05 1.056957e-05 #>  [4265,] 3.387264e-04 5.071463e-05 #>  [4266,] 1.219818e-05 1.127539e-05 #>  [4267,] 1.646179e-05 1.593855e-05 #>  [4268,] 2.043524e-05 1.851941e-05 #>  [4269,] 1.215998e-03 4.129998e-04 #>  [4270,] 7.007932e-05 4.085566e-05 #>  [4271,] 1.459608e-05 1.399496e-05 #>  [4272,] 2.617307e-05 1.936785e-05 #>  [4273,] 9.805736e-06 9.843579e-06 #>  [4274,] 1.479594e-05 1.317048e-05 #>  [4275,] 1.637725e-05 1.781633e-05 #>  [4276,] 2.087729e-05 1.411696e-05 #>  [4277,] 1.543166e-05 1.292250e-05 #>  [4278,] 1.795684e-05 1.348616e-05 #>  [4279,] 1.262856e-05 1.397895e-05 #>  [4280,] 3.897676e-05 1.975799e-05 #>  [4281,] 1.459502e-05 1.391249e-05 #>  [4282,] 1.306298e-05 1.323668e-05 #>  [4283,] 1.161891e-05 1.171885e-05 #>  [4284,] 3.791549e-05 1.825741e-05 #>  [4285,] 5.156301e-05 1.352369e-04 #>  [4286,] 1.698519e-05 1.452971e-05 #>  [4287,] 1.820027e-05 1.629927e-05 #>  [4288,] 4.842023e-05 1.489146e-05 #>  [4289,] 1.392972e-05 1.256610e-05 #>  [4290,] 3.236310e-04 8.967996e-04 #>  [4291,] 1.577733e-05 1.477438e-05 #>  [4292,] 1.819125e-05 1.629767e-05 #>  [4293,] 1.972991e-05 1.921618e-05 #>  [4294,] 2.309291e-04 1.462769e-04 #>  [4295,] 4.888253e-05 1.540686e-05 #>  [4296,] 1.350180e-05 1.179398e-05 #>  [4297,] 1.700594e-05 1.371174e-05 #>  [4298,] 1.110733e-05 1.070314e-05 #>  [4299,] 1.467073e-05 2.090313e-05 #>  [4300,] 3.161725e-05 2.254527e-05 #>  [4301,] 2.275981e-05 2.022369e-05 #>  [4302,] 1.765332e-05 1.563932e-05 #>  [4303,] 1.041790e-05 9.785652e-06 #>  [4304,] 1.990680e-05 1.766899e-05 #>  [4305,] 1.255717e-05 1.261650e-05 #>  [4306,] 1.257864e-05 1.056720e-05 #>  [4307,] 1.381821e-05 1.381890e-05 #>  [4308,] 2.060535e-05 1.800354e-05 #>  [4309,] 1.565963e-05 1.243435e-05 #>  [4310,] 1.478416e-05 1.420215e-05 #>  [4311,] 2.776293e-05 1.373068e-05 #>  [4312,] 1.500610e-05 1.536899e-05 #>  [4313,] 1.325192e-05 1.150922e-05 #>  [4314,] 1.293386e-05 1.093349e-05 #>  [4315,] 1.328313e-05 1.042852e-05 #>  [4316,] 9.823430e-04 5.927438e-04 #>  [4317,] 7.122682e-05 2.372042e-05 #>  [4318,] 1.357458e-05 1.305325e-05 #>  [4319,] 2.151108e-05 1.118330e-04 #>  [4320,] 4.220946e-04 1.729048e-04 #>  [4321,] 8.401668e-05 5.865612e-05 #>  [4322,] 2.050343e-05 2.002129e-05 #>  [4323,] 1.588985e-05 1.230898e-05 #>  [4324,] 2.277892e-05 2.751164e-05 #>  [4325,] 3.459512e-05 6.257516e-05 #>  [4326,] 2.778365e-05 2.200490e-05 #>  [4327,] 4.570069e-05 2.010362e-05 #>  [4328,] 1.489137e-05 1.304274e-05 #>  [4329,] 1.318924e-05 1.176976e-05 #>  [4330,] 2.074680e-04 4.158036e-05 #>  [4331,] 1.464009e-05 1.318377e-05 #>  [4332,] 9.336353e-05 4.260378e-05 #>  [4333,] 1.421410e-05 1.342621e-05 #>  [4334,] 3.010926e-05 1.184285e-05 #>  [4335,] 7.336112e-05 4.641465e-05 #>  [4336,] 1.392367e-05 1.175350e-05 #>  [4337,] 1.692055e-05 1.469325e-05 #>  [4338,] 5.623054e-05 2.252871e-05 #>  [4339,] 6.498138e-05 1.771166e-05 #>  [4340,] 1.473232e-05 1.261137e-05 #>  [4341,] 1.194349e-05 1.034392e-05 #>  [4342,] 1.142398e-05 1.080779e-05 #>  [4343,] 1.636900e-05 1.580479e-05 #>  [4344,] 1.110352e-05 9.674116e-06 #>  [4345,] 2.215728e-05 1.312903e-05 #>  [4346,] 1.352649e-05 1.209762e-05 #>  [4347,] 1.861259e-05 1.108526e-05 #>  [4348,] 1.208511e-05 1.047835e-05 #>  [4349,] 2.015269e-05 7.064914e-05 #>  [4350,] 5.013431e-05 1.660471e-04 #>  [4351,] 1.421846e-05 1.342579e-05 #>  [4352,] 1.183078e-05 1.470586e-05 #>  [4353,] 1.503245e-05 5.753700e-05 #>  [4354,] 2.036691e-05 1.679113e-05 #>  [4355,] 1.275207e-05 2.114716e-05 #>  [4356,] 1.246698e-05 1.136587e-05 #>  [4357,] 2.022211e-05 1.793311e-05 #>  [4358,] 1.715601e-05 1.759623e-05 #>  [4359,] 1.189189e-04 2.106004e-05 #>  [4360,] 1.460359e-05 1.298886e-05 #>  [4361,] 1.397353e-05 1.267511e-05 #>  [4362,] 1.490316e-05 1.446705e-05 #>  [4363,] 3.838018e-05 5.471769e-05 #>  [4364,] 6.083978e-05 2.562832e-05 #>  [4365,] 1.812909e-05 3.979811e-05 #>  [4366,] 2.414380e-05 3.049673e-05 #>  [4367,] 1.615365e-05 1.329126e-05 #>  [4368,] 1.685028e-05 1.705364e-05 #>  [4369,] 1.588983e-05 1.401724e-05 #>  [4370,] 5.915259e-05 4.121934e-04 #>  [4371,] 2.532712e-05 4.967503e-05 #>  [4372,] 2.092614e-05 1.418090e-05 #>  [4373,] 1.504056e-05 1.346186e-05 #>  [4374,] 3.365261e-04 1.695747e-04 #>  [4375,] 7.467584e-05 6.301398e-05 #>  [4376,] 1.383150e-05 1.210189e-05 #>  [4377,] 1.407480e-05 1.255256e-05 #>  [4378,] 1.445798e-05 1.241214e-05 #>  [4379,] 1.353894e-05 1.532067e-05 #>  [4380,] 1.265233e-04 1.380233e-04 #>  [4381,] 1.293638e-05 1.296934e-05 #>  [4382,] 1.253366e-05 1.399921e-05 #>  [4383,] 1.489347e-05 1.315954e-05 #>  [4384,] 1.982937e-05 3.532222e-05 #>  [4385,] 2.535166e-04 4.126276e-05 #>  [4386,] 1.626484e-05 1.291132e-05 #>  [4387,] 9.618030e-05 2.873855e-05 #>  [4388,] 1.181379e-05 1.061241e-05 #>  [4389,] 3.073939e-05 2.146794e-05 #>  [4390,] 1.354813e-05 1.126086e-05 #>  [4391,] 1.494170e-05 1.257779e-05 #>  [4392,] 2.117009e-05 2.672460e-05 #>  [4393,] 2.849801e-05 1.535444e-05 #>  [4394,] 3.077674e-05 2.022355e-05 #>  [4395,] 2.032766e-05 1.290857e-05 #>  [4396,] 1.435053e-05 1.971296e-05 #>  [4397,] 6.438363e-05 5.699093e-05 #>  [4398,] 6.109211e-04 2.495015e-04 #>  [4399,] 7.349474e-05 2.594023e-05 #>  [4400,] 2.950138e-05 2.964353e-05 #>  [4401,] 1.684471e-05 1.517487e-05 #>  [4402,] 5.468127e-05 2.444896e-05 #>  [4403,] 1.356799e-05 1.158593e-05 #>  [4404,] 2.349499e-05 1.246929e-05 #>  [4405,] 1.824189e-04 2.196805e-04 #>  [4406,] 3.711485e-05 3.761783e-05 #>  [4407,] 2.382231e-05 2.071322e-05 #>  [4408,] 6.912545e-05 1.004761e-04 #>  [4409,] 1.236378e-05 1.131117e-05 #>  [4410,] 2.686096e-05 2.820475e-05 #>  [4411,] 1.341913e-05 1.230591e-05 #>  [4412,] 2.685550e-05 1.421635e-05 #>  [4413,] 1.082065e-05 1.060433e-05 #>  [4414,] 1.660072e-05 1.116932e-05 #>  [4415,] 1.117339e-04 4.368516e-05 #>  [4416,] 1.524869e-05 1.278935e-05 #>  [4417,] 1.656034e-05 1.279064e-05 #>  [4418,] 6.910946e-05 3.025748e-05 #>  [4419,] 1.290586e-05 1.116012e-05 #>  [4420,] 1.375019e-05 1.235944e-05 #>  [4421,] 1.494752e-05 1.312885e-05 #>  [4422,] 1.395205e-05 1.429594e-05 #>  [4423,] 1.446014e-05 1.226589e-05 #>  [4424,] 2.860533e-05 3.105660e-05 #>  [4425,] 1.443185e-05 1.244535e-05 #>  [4426,] 1.459392e-05 1.304743e-05 #>  [4427,] 1.690335e-05 1.501266e-05 #>  [4428,] 1.237629e-04 6.352241e-05 #>  [4429,] 1.531195e-05 1.461886e-05 #>  [4430,] 1.304105e-05 1.235168e-05 #>  [4431,] 3.138618e-05 3.000632e-05 #>  [4432,] 2.967581e-05 2.507519e-05 #>  [4433,] 1.245026e-05 1.604841e-05 #>  [4434,] 2.009960e-05 2.089824e-05 #>  [4435,] 1.271544e-05 1.146402e-05 #>  [4436,] 8.863925e-05 2.858247e-04 #>  [4437,] 1.673959e-05 2.054444e-05 #>  [4438,] 1.350808e-05 1.293744e-05 #>  [4439,] 1.387105e-04 1.900702e-05 #>  [4440,] 3.126001e-05 1.780210e-05 #>  [4441,] 1.600779e-05 8.164080e-05 #>  [4442,] 2.893427e-04 2.878277e-04 #>  [4443,] 1.246537e-04 5.889143e-05 #>  [4444,] 1.155551e-05 1.185233e-05 #>  [4445,] 5.015670e-05 3.421314e-05 #>  [4446,] 1.647811e-05 1.286047e-05 #>  [4447,] 1.517758e-05 1.294604e-05 #>  [4448,] 2.722263e-05 1.313972e-05 #>  [4449,] 3.281093e-05 6.080197e-05 #>  [4450,] 1.426652e-05 1.333488e-05 #>  [4451,] 1.442744e-05 1.239791e-05 #>  [4452,] 1.804805e-04 1.813685e-04 #>  [4453,] 4.241741e-05 2.776343e-05 #>  [4454,] 1.424308e-05 1.100685e-05 #>  [4455,] 1.218651e-05 1.088665e-05 #>  [4456,] 2.035997e-05 2.752622e-05 #>  [4457,] 1.406314e-05 1.439968e-05 #>  [4458,] 2.632944e-05 4.837027e-05 #>  [4459,] 1.355352e-05 1.193813e-05 #>  [4460,] 1.917309e-05 1.962185e-05 #>  [4461,] 1.543914e-05 1.298041e-05 #>  [4462,] 1.850258e-05 1.277419e-05 #>  [4463,] 2.085264e-05 1.939392e-05 #>  [4464,] 1.716344e-05 1.192454e-05 #>  [4465,] 8.199328e-05 1.088362e-04 #>  [4466,] 1.501412e-05 1.428903e-05 #>  [4467,] 1.664259e-05 1.249912e-05 #>  [4468,] 3.140093e-05 4.133721e-05 #>  [4469,] 1.088301e-05 1.029728e-05 #>  [4470,] 5.367057e-05 5.064438e-05 #>  [4471,] 2.828055e-04 1.675213e-04 #>  [4472,] 1.361498e-05 1.344815e-05 #>  [4473,] 2.678003e-05 1.048488e-05 #>  [4474,] 1.509826e-05 1.288426e-05 #>  [4475,] 1.536327e-05 1.531425e-05 #>  [4476,] 1.675789e-05 3.148754e-05 #>  [4477,] 1.470614e-05 1.369397e-05 #>  [4478,] 2.797636e-05 1.247600e-05 #>  [4479,] 1.541316e-05 1.324014e-05 #>  [4480,] 2.037577e-05 1.494528e-05 #>  [4481,] 1.472395e-05 1.245872e-05 #>  [4482,] 1.106782e-04 1.091921e-04 #>  [4483,] 1.719943e-05 1.898590e-05 #>  [4484,] 1.323379e-05 1.110507e-05 #>  [4485,] 1.494168e-05 1.291375e-05 #>  [4486,] 1.587939e-05 2.143098e-05 #>  [4487,] 1.764900e-05 1.778256e-05 #>  [4488,] 1.535919e-05 1.442744e-05 #>  [4489,] 1.630723e-05 1.635442e-05 #>  [4490,] 1.700869e-05 1.192098e-05 #>  [4491,] 1.531383e-05 1.239071e-05 #>  [4492,] 3.092219e-05 1.766732e-05 #>  [4493,] 1.143527e-05 1.147941e-05 #>  [4494,] 2.339391e-05 2.149615e-05 #>  [4495,] 1.128691e-05 1.044129e-05 #>  [4496,] 3.722215e-05 3.591342e-05 #>  [4497,] 1.372332e-05 1.257642e-05 #>  [4498,] 1.386926e-05 1.253078e-05 #>  [4499,] 6.905621e-05 2.151417e-05 #>  [4500,] 5.847595e-05 3.007769e-05 #>  [4501,] 4.197809e-05 6.284432e-05 #>  [4502,] 2.404569e-05 1.943517e-05 #>  [4503,] 1.596674e-05 1.414477e-05 #>  [4504,] 2.022303e-05 1.547122e-05 #>  [4505,] 1.373954e-05 2.092753e-05 #>  [4506,] 1.650250e-05 1.204287e-05 #>  [4507,] 1.274541e-05 1.198245e-05 #>  [4508,] 1.522305e-05 1.481902e-05 #>  [4509,] 1.326220e-04 2.139926e-05 #>  [4510,] 3.955130e-05 1.565283e-05 #>  [4511,] 1.387818e-05 1.271229e-05 #>  [4512,] 2.151612e-05 1.777078e-05 #>  [4513,] 1.757137e-04 6.957727e-05 #>  [4514,] 7.781388e-05 1.979902e-05 #>  [4515,] 1.488070e-05 1.196087e-05 #>  [4516,] 2.294866e-05 3.500221e-05 #>  [4517,] 1.476338e-05 1.469576e-05 #>  [4518,] 1.493775e-05 1.236885e-05 #>  [4519,] 1.195978e-05 1.068490e-05 #>  [4520,] 1.446943e-05 1.366823e-05 #>  [4521,] 1.808793e-05 1.504982e-05 #>  [4522,] 1.064563e-05 1.105969e-05 #>  [4523,] 1.344673e-05 1.193914e-05 #>  [4524,] 1.306885e-05 1.296078e-05 #>  [4525,] 1.486031e-05 1.298263e-05 #>  [4526,] 1.488949e-05 1.342483e-05 #>  [4527,] 1.503972e-05 1.305857e-05 #>  [4528,] 4.617034e-04 3.000211e-05 #>  [4529,] 1.246335e-05 1.115445e-05 #>  [4530,] 6.525465e-05 3.362670e-05 #>  [4531,] 2.428603e-05 2.493957e-05 #>  [4532,] 1.766262e-05 1.370105e-05 #>  [4533,] 1.439176e-05 1.154926e-05 #>  [4534,] 3.005434e-05 2.876292e-05 #>  [4535,] 1.355772e-05 1.118639e-05 #>  [4536,] 2.133515e-05 2.043745e-05 #>  [4537,] 2.645905e-05 1.757157e-05 #>  [4538,] 5.463745e-05 9.289085e-05 #>  [4539,] 1.153508e-05 1.013683e-05 #>  [4540,] 2.969308e-05 1.403725e-05 #>  [4541,] 3.134259e-05 3.790234e-05 #>  [4542,] 7.051914e-05 1.610267e-05 #>  [4543,] 1.166192e-05 1.474018e-05 #>  [4544,] 1.956125e-05 1.495807e-05 #>  [4545,] 1.387710e-05 1.230489e-05 #>  [4546,] 1.433039e-05 1.203733e-05 #>  [4547,] 1.662025e-05 4.003226e-05 #>  [4548,] 1.168074e-05 9.702040e-06 #>  [4549,] 2.198971e-05 1.534773e-05 #>  [4550,] 1.635879e-05 1.636926e-05 #>  [4551,] 4.039532e-05 2.131750e-05 #>  [4552,] 1.664402e-05 1.111039e-05 #>  [4553,] 1.789215e-05 1.449227e-05 #>  [4554,] 1.109209e-05 1.238194e-05 #>  [4555,] 1.448636e-05 1.386907e-05 #>  [4556,] 1.618873e-05 1.539184e-05 #>  [4557,] 1.403694e-05 1.268170e-05 #>  [4558,] 1.909673e-05 3.725578e-05 #>  [4559,] 2.181424e-05 2.300108e-05 #>  [4560,] 1.589276e-05 1.183104e-05 #>  [4561,] 1.428541e-05 1.214685e-05 #>  [4562,] 2.203446e-05 1.196198e-05 #>  [4563,] 2.937097e-05 3.054146e-05 #>  [4564,] 1.161800e-05 1.144129e-05 #>  [4565,] 1.712582e-05 1.259480e-05 #>  [4566,] 1.535119e-05 1.521952e-05 #>  [4567,] 6.020170e-05 1.570835e-05 #>  [4568,] 1.578804e-05 1.359696e-05 #>  [4569,] 1.300466e-05 1.176137e-05 #>  [4570,] 1.491349e-05 1.351621e-05 #>  [4571,] 1.545477e-05 1.304614e-05 #>  [4572,] 2.866006e-05 5.449735e-05 #>  [4573,] 2.060763e-05 2.394230e-05 #>  [4574,] 1.254581e-05 1.010750e-05 #>  [4575,] 1.755429e-05 1.431459e-05 #>  [4576,] 1.700844e-05 1.205743e-05 #>  [4577,] 1.533795e-05 2.041240e-05 #>  [4578,] 1.787773e-05 1.102263e-05 #>  [4579,] 1.415405e-05 1.152471e-05 #>  [4580,] 1.275405e-05 1.069131e-05 #>  [4581,] 1.629430e-05 1.392917e-05 #>  [4582,] 7.135248e-05 2.143145e-05 #>  [4583,] 3.266145e-05 2.657909e-05 #>  [4584,] 1.248708e-05 1.092959e-05 #>  [4585,] 1.156360e-05 1.121830e-05 #>  [4586,] 1.487597e-05 1.828127e-05 #>  [4587,] 1.386797e-05 1.165378e-05 #>  [4588,] 2.889847e-05 2.897782e-05 #>  [4589,] 1.557375e-05 1.520380e-05 #>  [4590,] 1.792326e-05 1.716154e-05 #>  [4591,] 6.099442e-05 3.026622e-05 #>  [4592,] 1.106498e-04 1.629736e-04 #>  [4593,] 2.091574e-05 1.464045e-05 #>  [4594,] 1.540137e-05 1.442906e-05 #>  [4595,] 1.191115e-04 7.061259e-05 #>  [4596,] 1.227434e-05 1.239878e-05 #>  [4597,] 1.929796e-05 1.079515e-05 #>  [4598,] 1.579155e-05 1.243192e-05 #>  [4599,] 1.616801e-05 3.727913e-05 #>  [4600,] 1.711826e-05 8.833525e-05 #>  [4601,] 1.267104e-05 1.247534e-05 #>  [4602,] 1.926579e-05 1.429579e-05 #>  [4603,] 1.080074e-05 9.362723e-06 #>  [4604,] 1.657921e-05 1.375550e-05 #>  [4605,] 1.803826e-05 1.466694e-05 #>  [4606,] 1.480430e-05 1.179741e-05 #>  [4607,] 1.320362e-05 1.481088e-05 #>  [4608,] 1.593548e-05 1.349822e-05 #>  [4609,] 1.506270e-05 1.398219e-05 #>  [4610,] 3.768882e-04 9.466566e-04 #>  [4611,] 1.599666e-05 2.119724e-05 #>  [4612,] 4.618389e-05 1.225932e-03 #>  [4613,] 1.471784e-05 1.749638e-05 #>  [4614,] 1.336905e-05 1.259474e-05 #>  [4615,] 1.373018e-05 1.326597e-05 #>  [4616,] 1.425712e-05 1.268897e-05 #>  [4617,] 1.270799e-05 1.263804e-05 #>  [4618,] 1.244006e-05 1.152483e-05 #>  [4619,] 1.483417e-05 1.310443e-05 #>  [4620,] 4.286013e-04 7.075096e-04 #>  [4621,] 3.220778e-05 1.980093e-05 #>  [4622,] 4.386533e-05 2.211480e-05 #>  [4623,] 7.440048e-04 9.323148e-04 #>  [4624,] 3.492910e-05 3.836978e-05 #>  [4625,] 1.403236e-04 2.617200e-04 #>  [4626,] 1.134164e-05 9.968079e-06 #>  [4627,] 2.109179e-05 6.730607e-05 #>  [4628,] 1.503943e-05 1.222073e-05 #>  [4629,] 3.224137e-05 2.815293e-05 #>  [4630,] 1.554607e-05 2.050024e-05 #>  [4631,] 1.321736e-05 1.102993e-05 #>  [4632,] 1.645921e-05 2.188148e-05 #>  [4633,] 1.521435e-04 3.284377e-04 #>  [4634,] 1.715952e-05 1.670225e-05 #>  [4635,] 1.473356e-05 3.881868e-05 #>  [4636,] 1.398915e-05 1.146252e-05 #>  [4637,] 1.871998e-05 3.042611e-05 #>  [4638,] 1.346219e-05 1.090976e-05 #>  [4639,] 1.320305e-04 2.837159e-04 #>  [4640,] 1.488378e-05 1.366597e-05 #>  [4641,] 1.029561e-05 1.030641e-05 #>  [4642,] 1.211702e-05 1.117392e-05 #>  [4643,] 1.701740e-05 1.695554e-05 #>  [4644,] 3.905128e-04 7.640750e-05 #>  [4645,] 1.371822e-05 1.273509e-05 #>  [4646,] 1.509454e-05 1.403544e-05 #>  [4647,] 1.729885e-05 1.495197e-05 #>  [4648,] 1.340211e-05 1.093684e-05 #>  [4649,] 1.449670e-05 1.440782e-05 #>  [4650,] 1.833004e-05 1.262048e-05 #>  [4651,] 1.638881e-05 1.454723e-05 #>  [4652,] 4.614100e-05 5.281412e-05 #>  [4653,] 1.307819e-05 1.141555e-05 #>  [4654,] 6.266502e-05 1.439508e-05 #>  [4655,] 3.535539e-04 1.368608e-04 #>  [4656,] 1.743899e-05 1.423362e-05 #>  [4657,] 1.349755e-05 1.084930e-05 #>  [4658,] 2.263177e-05 1.443929e-05 #>  [4659,] 1.495049e-05 1.328480e-05 #>  [4660,] 1.600502e-05 2.472793e-05 #>  [4661,] 1.088590e-05 1.106512e-05 #>  [4662,] 1.252182e-05 1.318736e-05 #>  [4663,] 2.924927e-05 2.792449e-05 #>  [4664,] 1.362896e-05 1.233620e-05 #>  [4665,] 1.452265e-05 1.364148e-05 #>  [4666,] 9.138060e-05 1.049095e-04 #>  [4667,] 7.779952e-05 1.415258e-04 #>  [4668,] 1.557592e-05 1.267314e-05 #>  [4669,] 1.405075e-05 1.267671e-05 #>  [4670,] 1.085560e-05 1.022636e-05 #>  [4671,] 1.489887e-05 2.975155e-05 #>  [4672,] 1.640723e-05 2.619969e-05 #>  [4673,] 4.183367e-05 3.193892e-05 #>  [4674,] 3.121421e-05 1.700565e-05 #>  [4675,] 1.725971e-05 1.325669e-05 #>  [4676,] 1.674773e-05 7.602634e-05 #>  [4677,] 1.219748e-05 1.018079e-05 #>  [4678,] 1.355188e-05 1.178909e-05 #>  [4679,] 3.007563e-05 1.532706e-05 #>  [4680,] 3.420853e-04 3.285613e-04 #>  [4681,] 2.906238e-05 2.878471e-05 #>  [4682,] 2.917096e-05 1.126968e-05 #>  [4683,] 2.423787e-05 4.342601e-04 #>  [4684,] 3.522843e-04 1.371847e-04 #>  [4685,] 7.617654e-05 3.480360e-05 #>  [4686,] 1.506569e-05 1.192113e-05 #>  [4687,] 2.356274e-05 1.565526e-05 #>  [4688,] 2.446462e-05 1.204383e-05 #>  [4689,] 1.550477e-05 1.606650e-05 #>  [4690,] 1.518471e-05 1.206186e-05 #>  [4691,] 2.018700e-05 2.311196e-05 #>  [4692,] 1.722578e-05 2.238282e-05 #>  [4693,] 1.828261e-05 1.725212e-05 #>  [4694,] 1.172732e-04 6.273357e-05 #>  [4695,] 1.531805e-05 1.532881e-05 #>  [4696,] 1.193674e-05 1.062451e-05 #>  [4697,] 1.562736e-05 1.416333e-05 #>  [4698,] 2.501317e-05 1.862702e-05 #>  [4699,] 1.406950e-05 1.118808e-05 #>  [4700,] 4.403731e-05 1.437161e-05 #>  [4701,] 1.518339e-05 1.638865e-05 #>  [4702,] 1.358354e-05 1.440839e-05 #>  [4703,] 2.351375e-05 1.337859e-05 #>  [4704,] 6.444071e-05 4.754892e-05 #>  [4705,] 1.993021e-05 1.802888e-05 #>  [4706,] 2.277372e-05 1.582533e-04 #>  [4707,] 1.395723e-05 1.564031e-05 #>  [4708,] 1.620500e-05 1.162456e-05 #>  [4709,] 1.842284e-05 1.055742e-05 #>  [4710,] 1.414515e-05 1.260786e-05 #>  [4711,] 1.475085e-05 1.580391e-05 #>  [4712,] 1.109744e-05 1.043812e-05 #>  [4713,] 1.258463e-05 2.210871e-05 #>  [4714,] 8.008516e-04 1.691346e-04 #>  [4715,] 1.161684e-05 1.029109e-05 #>  [4716,] 1.301101e-05 1.123995e-05 #>  [4717,] 1.913772e-05 2.668923e-05 #>  [4718,] 1.533362e-05 1.358824e-05 #>  [4719,] 1.086528e-05 1.000921e-05 #>  [4720,] 8.479646e-05 1.410537e-05 #>  [4721,] 3.285497e-05 1.980237e-05 #>  [4722,] 1.464404e-05 1.320885e-05 #>  [4723,] 1.188242e-05 1.037780e-05 #>  [4724,] 1.137758e-04 3.328881e-05 #>  [4725,] 1.045886e-04 6.608922e-05 #>  [4726,] 1.081963e-05 9.340272e-06 #>  [4727,] 1.894878e-05 1.283295e-05 #>  [4728,] 1.580628e-05 1.389006e-05 #>  [4729,] 3.014109e-05 1.995803e-05 #>  [4730,] 1.203066e-05 1.196929e-05 #>  [4731,] 2.937690e-05 2.980249e-05 #>  [4732,] 2.250098e-05 2.314009e-05 #>  [4733,] 1.605683e-05 2.050556e-05 #>  [4734,] 1.170837e-04 1.603584e-05 #>  [4735,] 1.370444e-05 1.189172e-05 #>  [4736,] 2.001100e-05 1.834715e-05 #>  [4737,] 1.562834e-05 2.035790e-05 #>  [4738,] 1.627791e-05 1.421202e-05 #>  [4739,] 6.653123e-05 2.643683e-05 #>  [4740,] 1.226711e-05 1.237595e-05 #>  [4741,] 1.363226e-05 1.246108e-05 #>  [4742,] 1.379347e-05 1.136972e-05 #>  [4743,] 1.647947e-05 1.579120e-05 #>  [4744,] 1.792333e-05 1.585721e-05 #>  [4745,] 1.186218e-05 1.198138e-05 #>  [4746,] 4.021212e-05 3.273728e-05 #>  [4747,] 1.639805e-05 1.778824e-05 #>  [4748,] 6.655887e-04 3.605702e-05 #>  [4749,] 2.359758e-04 1.647915e-04 #>  [4750,] 1.623444e-05 1.337978e-05 #>  [4751,] 1.860269e-05 1.564146e-05 #>  [4752,] 1.122374e-05 1.322248e-05 #>  [4753,] 1.369082e-05 1.208247e-05 #>  [4754,] 7.036508e-05 1.701002e-05 #>  [4755,] 2.733255e-05 2.466720e-05 #>  [4756,] 1.237466e-05 1.829672e-05 #>  [4757,] 6.550040e-05 1.860126e-04 #>  [4758,] 2.001787e-05 2.714433e-05 #>  [4759,] 1.376937e-05 1.222735e-05 #>  [4760,] 1.454257e-05 1.312423e-05 #>  [4761,] 1.636451e-05 1.332645e-05 #>  [4762,] 1.137948e-05 1.097756e-05 #>  [4763,] 1.169893e-05 1.069983e-05 #>  [4764,] 1.360439e-05 2.207657e-05 #>  [4765,] 1.880521e-05 1.423719e-05 #>  [4766,] 1.501379e-05 1.324200e-05 #>  [4767,] 1.763487e-05 1.353023e-05 #>  [4768,] 2.492230e-05 1.626199e-05 #>  [4769,] 1.501543e-05 1.813754e-05 #>  [4770,] 1.387247e-05 1.235871e-05 #>  [4771,] 1.333689e-05 1.188229e-05 #>  [4772,] 1.376039e-05 1.269787e-05 #>  [4773,] 1.391562e-05 1.457809e-05 #>  [4774,] 1.558191e-05 1.234865e-05 #>  [4775,] 1.026663e-05 9.339190e-06 #>  [4776,] 1.624744e-05 1.155244e-05 #>  [4777,] 3.973698e-05 1.982390e-05 #>  [4778,] 2.227290e-04 8.429103e-05 #>  [4779,] 1.400286e-05 1.331532e-05 #>  [4780,] 7.587626e-05 1.143360e-04 #>  [4781,] 1.665873e-05 1.579496e-05 #>  [4782,] 1.826799e-05 1.704245e-05 #>  [4783,] 1.250023e-05 1.384685e-05 #>  [4784,] 1.304958e-05 1.125252e-05 #>  [4785,] 1.735457e-05 1.528502e-05 #>  [4786,] 1.391020e-05 1.179438e-05 #>  [4787,] 1.534576e-05 1.275068e-05 #>  [4788,] 2.129429e-05 2.350060e-05 #>  [4789,] 1.602849e-05 1.062599e-05 #>  [4790,] 2.190366e-05 6.932660e-05 #>  [4791,] 1.490264e-05 1.272288e-05 #>  [4792,] 1.631179e-05 1.333535e-05 #>  [4793,] 1.944863e-05 3.141527e-05 #>  [4794,] 4.375629e-05 2.472381e-05 #>  [4795,] 3.014232e-04 5.268969e-05 #>  [4796,] 1.471138e-05 1.266488e-05 #>  [4797,] 1.421698e-05 1.261801e-05 #>  [4798,] 3.780685e-05 2.459670e-05 #>  [4799,] 1.489689e-05 1.076821e-05 #>  [4800,] 1.784424e-05 1.367859e-05 #>  [4801,] 1.145995e-05 1.076340e-05 #>  [4802,] 1.509571e-05 1.157167e-05 #>  [4803,] 1.071050e-05 1.019280e-05 #>  [4804,] 1.408068e-05 1.196533e-05 #>  [4805,] 1.664838e-05 1.369161e-05 #>  [4806,] 1.938772e-05 1.359064e-05 #>  [4807,] 1.404029e-05 1.262875e-05 #>  [4808,] 1.891945e-05 2.199561e-05 #>  [4809,] 5.189147e-05 1.408536e-05 #>  [4810,] 1.442432e-05 1.176872e-05 #>  [4811,] 1.740986e-05 5.835673e-05 #>  [4812,] 1.626411e-05 1.399535e-05 #>  [4813,] 1.528564e-05 1.269082e-05 #>  [4814,] 1.671680e-05 1.498566e-05 #>  [4815,] 1.868099e-05 1.711514e-05 #>  [4816,] 7.179324e-05 4.194998e-05 #>  [4817,] 1.872169e-05 1.324634e-05 #>  [4818,] 1.265893e-04 4.329273e-05 #>  [4819,] 7.339284e-05 5.002596e-05 #>  [4820,] 1.440499e-05 1.893645e-05 #>  [4821,] 1.802831e-05 1.618264e-05 #>  [4822,] 1.157074e-04 3.000378e-05 #>  [4823,] 2.503449e-05 1.455354e-05 #>  [4824,] 8.981769e-05 4.653674e-05 #>  [4825,] 1.165244e-05 1.095611e-05 #>  [4826,] 1.338138e-04 3.751549e-05 #>  [4827,] 1.142966e-05 1.279678e-05 #>  [4828,] 5.455340e-05 2.762842e-05 #>  [4829,] 1.551587e-05 2.773353e-05 #>  [4830,] 2.949872e-05 2.070599e-05 #>  [4831,] 2.904523e-05 3.439594e-05 #>  [4832,] 1.407060e-05 1.307260e-05 #>  [4833,] 1.385994e-05 1.161716e-05 #>  [4834,] 1.207915e-05 1.002536e-05 #>  [4835,] 4.395982e-05 1.504143e-05 #>  [4836,] 4.018233e-05 5.682885e-05 #>  [4837,] 3.947903e-04 4.483883e-05 #>  [4838,] 1.600207e-05 1.345547e-05 #>  [4839,] 5.395289e-05 3.139158e-05 #>  [4840,] 2.176092e-05 2.373488e-04 #>  [4841,] 2.220396e-05 2.230230e-05 #>  [4842,] 1.353719e-05 1.290317e-05 #>  [4843,] 9.120277e-05 1.034216e-04 #>  [4844,] 1.282855e-05 1.128955e-05 #>  [4845,] 1.325094e-05 1.103981e-05 #>  [4846,] 1.391659e-05 1.008099e-05 #>  [4847,] 1.531302e-05 1.409555e-05 #>  [4848,] 1.448258e-05 1.219485e-05 #>  [4849,] 1.195678e-05 1.152203e-05 #>  [4850,] 2.098156e-05 1.868143e-05 #>  [4851,] 1.435216e-05 1.307259e-05 #>  [4852,] 1.523476e-05 1.264098e-05 #>  [4853,] 1.718489e-05 1.134203e-05 #>  [4854,] 1.369707e-05 1.175204e-05 #>  [4855,] 1.645322e-05 1.466289e-05 #>  [4856,] 1.259607e-05 1.183705e-05 #>  [4857,] 1.692007e-05 1.322550e-05 #>  [4858,] 1.412369e-05 1.176275e-05 #>  [4859,] 1.124831e-05 1.136668e-05 #>  [4860,] 2.411666e-05 3.946361e-05 #>  [4861,] 1.390043e-05 1.476749e-05 #>  [4862,] 1.425684e-05 1.246824e-05 #>  [4863,] 1.335973e-05 1.090638e-05 #>  [4864,] 1.425843e-05 1.224309e-05 #>  [4865,] 2.919642e-04 6.406742e-05 #>  [4866,] 2.612056e-05 3.057726e-05 #>  [4867,] 3.594641e-05 1.577128e-05 #>  [4868,] 1.128338e-05 1.064385e-05 #>  [4869,] 1.532913e-05 1.254517e-05 #>  [4870,] 1.423139e-05 2.453076e-05 #>  [4871,] 8.384813e-05 2.476452e-05 #>  [4872,] 3.590302e-05 1.526070e-05 #>  [4873,] 2.622113e-05 1.686174e-05 #>  [4874,] 1.312322e-05 1.320608e-05 #>  [4875,] 1.191434e-05 1.154213e-05 #>  [4876,] 1.916783e-05 1.280765e-05 #>  [4877,] 1.406932e-05 1.319195e-05 #>  [4878,] 6.694104e-05 1.552731e-05 #>  [4879,] 2.138599e-05 1.727228e-05 #>  [4880,] 2.152673e-05 1.437002e-05 #>  [4881,] 1.465908e-05 1.286059e-05 #>  [4882,] 1.497907e-05 1.174731e-05 #>  [4883,] 2.214261e-05 1.008334e-05 #>  [4884,] 1.212899e-05 1.111337e-05 #>  [4885,] 1.176292e-05 1.093060e-05 #>  [4886,] 1.580498e-05 1.514877e-05 #>  [4887,] 1.580683e-05 1.311765e-05 #>  [4888,] 1.512688e-05 1.324478e-05 #>  [4889,] 1.269065e-05 1.752062e-05 #>  [4890,] 1.622705e-05 1.366957e-05 #>  [4891,] 4.785995e-05 6.399752e-05 #>  [4892,] 3.705643e-05 2.827456e-05 #>  [4893,] 1.786142e-05 1.381028e-05 #>  [4894,] 1.260523e-05 1.115838e-05 #>  [4895,] 1.821471e-05 1.871908e-05 #>  [4896,] 1.525622e-05 1.248930e-05 #>  [4897,] 1.308065e-05 1.187060e-05 #>  [4898,] 1.449120e-05 1.219439e-05 #>  [4899,] 1.388757e-05 1.117437e-05 #>  [4900,] 2.688062e-05 1.373586e-04 #>  [4901,] 1.421457e-05 1.301597e-05 #>  [4902,] 1.629462e-05 1.366860e-05 #>  [4903,] 1.465474e-05 1.137906e-05 #>  [4904,] 6.108427e-05 1.778332e-04 #>  [4905,] 1.665016e-05 1.139787e-05 #>  [4906,] 1.945420e-05 1.736053e-05 #>  [4907,] 3.845620e-05 6.128693e-05 #>  [4908,] 2.567659e-05 1.801841e-05 #>  [4909,] 1.324596e-05 1.284468e-05 #>  [4910,] 1.455845e-05 1.392287e-05 #>  [4911,] 1.186508e-05 1.161190e-05 #>  [4912,] 1.411996e-05 1.288251e-05 #>  [4913,] 1.391723e-05 1.301964e-05 #>  [4914,] 2.100542e-05 5.863640e-05 #>  [4915,] 1.407370e-05 1.182420e-05 #>  [4916,] 3.020235e-05 2.917551e-05 #>  [4917,] 1.282266e-05 1.311298e-05 #>  [4918,] 1.656751e-05 1.523553e-05 #>  [4919,] 2.262336e-05 1.665865e-05 #>  [4920,] 1.215975e-05 1.065574e-05 #>  [4921,] 1.056787e-05 8.815765e-06 #>  [4922,] 1.187745e-05 1.016256e-05 #>  [4923,] 2.290707e-05 1.400332e-05 #>  [4924,] 1.111098e-04 6.414666e-05 #>  [4925,] 7.543777e-04 4.707576e-04 #>  [4926,] 1.096617e-04 1.289388e-04 #>  [4927,] 1.340110e-05 1.135872e-05 #>  [4928,] 1.719016e-05 1.470000e-05 #>  [4929,] 1.737898e-05 1.095235e-05 #>  [4930,] 2.699032e-04 1.347099e-04 #>  [4931,] 1.792665e-05 1.458097e-05 #>  [4932,] 1.161497e-05 1.009177e-05 #>  [4933,] 1.295167e-05 1.110838e-05 #>  [4934,] 1.585535e-05 1.597218e-05 #>  [4935,] 2.372410e-05 1.561147e-05 #>  [4936,] 1.209294e-05 1.090661e-05 #>  [4937,] 1.257115e-05 1.151537e-05 #>  [4938,] 1.420292e-05 1.319312e-05 #>  [4939,] 1.392112e-05 1.270887e-05 #>  [4940,] 1.579156e-05 1.455868e-05 #>  [4941,] 1.537567e-05 1.523240e-05 #>  [4942,] 1.587183e-05 2.358071e-05 #>  [4943,] 1.606611e-05 1.359810e-05 #>  [4944,] 1.447948e-05 1.351040e-05 #>  [4945,] 6.037675e-05 1.404038e-05 #>  [4946,] 1.633791e-05 1.463118e-05 #>  [4947,] 1.586571e-05 1.426417e-05 #>  [4948,] 2.431955e-05 1.738737e-05 #>  [4949,] 1.786231e-05 1.412817e-05 #>  [4950,] 1.055679e-05 9.951342e-06 #>  [4951,] 6.029149e-05 1.086559e-04 #>  [4952,] 8.892649e-05 3.935365e-05 #>  [4953,] 1.538797e-05 1.201784e-05 #>  [4954,] 1.433669e-05 1.474237e-05 #>  [4955,] 1.080569e-05 9.953316e-06 #>  [4956,] 1.596039e-05 1.371469e-05 #>  [4957,] 1.431779e-05 1.124669e-05 #>  [4958,] 7.054904e-05 2.580351e-05 #>  [4959,] 1.602546e-04 6.468009e-05 #>  [4960,] 5.368658e-05 2.519102e-05 #>  [4961,] 1.565468e-05 1.291865e-05 #>  [4962,] 1.728977e-05 1.561545e-05 #>  [4963,] 1.128445e-05 1.160060e-05 #>  [4964,] 2.558406e-05 2.561492e-05 #>  [4965,] 9.955686e-06 9.117102e-06 #>  [4966,] 1.201364e-05 1.175662e-05 #>  [4967,] 1.849869e-05 1.820746e-05 #>  [4968,] 2.024943e-05 1.662101e-05 #>  [4969,] 4.999968e-05 1.494452e-05 #>  [4970,] 3.619993e-05 2.927440e-05 #>  [4971,] 1.035116e-05 1.018082e-05 #>  [4972,] 1.228414e-05 1.038053e-05 #>  [4973,] 1.488763e-05 1.281682e-05 #>  [4974,] 1.167380e-05 1.313370e-05 #>  [4975,] 1.701311e-05 2.665591e-05 #>  [4976,] 1.298225e-05 1.097725e-05 #>  [4977,] 1.311396e-05 1.040868e-05 #>  [4978,] 1.297610e-05 1.115050e-05 #>  [4979,] 1.912349e-05 1.665701e-05 #>  [4980,] 1.475373e-05 1.346491e-05 #>  [4981,] 2.116555e-05 3.329071e-05 #>  [4982,] 1.708666e-05 1.560062e-05 #>  [4983,] 1.440122e-05 1.393651e-05 #>  [4984,] 2.974198e-05 1.988729e-05 #>  [4985,] 1.340530e-05 1.111913e-05 #>  [4986,] 1.579081e-05 1.328575e-05 #>  [4987,] 1.376969e-05 1.501997e-05 #>  [4988,] 3.465942e-05 1.907671e-05 #>  [4989,] 2.424420e-05 2.996769e-05 #>  [4990,] 2.227805e-05 1.240448e-05 #>  [4991,] 2.806349e-04 2.021925e-04 #>  [4992,] 1.502542e-05 1.196795e-05 #>  [4993,] 4.800852e-05 7.385662e-05 #>  [4994,] 2.590086e-05 2.911197e-04 #>  [4995,] 2.787777e-05 3.080306e-05 #>  [4996,] 1.093169e-05 1.056996e-05 #>  [4997,] 1.474738e-05 1.940457e-05 #>  [4998,] 1.479988e-05 1.380866e-05 #>  [4999,] 1.591784e-05 1.529928e-05 #>  [5000,] 1.403338e-05 1.553990e-05 #>  [5001,] 1.648379e-05 1.305415e-05 #>  [5002,] 1.894028e-05 1.036962e-04 #>  [5003,] 3.145852e-05 2.394951e-05 #>  [5004,] 1.572821e-05 1.571410e-05 #>  [5005,] 1.377304e-05 1.203399e-05 #>  [5006,] 1.321428e-05 1.174329e-05 #>  [5007,] 1.550622e-05 1.301392e-05 #>  [5008,] 1.189717e-05 1.063511e-05 #>  [5009,] 1.113196e-05 1.071510e-05 #>  [5010,] 1.278460e-05 1.127594e-05 #>  [5011,] 1.359354e-05 1.160134e-05 #>  [5012,] 1.370408e-05 1.180679e-05 #>  [5013,] 1.671288e-05 1.200593e-05 #>  [5014,] 2.047982e-05 1.653063e-05 #>  [5015,] 3.992236e-04 3.114621e-05 #>  [5016,] 4.423538e-05 2.047778e-05 #>  [5017,] 1.833835e-04 7.272072e-05 #>  [5018,] 1.492645e-05 1.290269e-05 #>  [5019,] 1.496045e-05 1.281087e-05 #>  [5020,] 2.582731e-05 1.301655e-05 #>  [5021,] 1.735156e-05 1.479175e-05 #>  [5022,] 1.557100e-05 1.313289e-05 #>  [5023,] 2.268914e-05 6.761593e-05 #>  [5024,] 3.003106e-05 1.733825e-05 #>  [5025,] 1.488809e-05 1.312464e-05 #>  [5026,] 1.185286e-05 1.081552e-05 #>  [5027,] 1.218540e-05 1.140006e-05 #>  [5028,] 1.497093e-05 1.409117e-05 #>  [5029,] 1.511767e-05 1.677488e-05 #>  [5030,] 2.078787e-05 2.896821e-05 #>  [5031,] 1.293999e-05 1.078316e-05 #>  [5032,] 3.283173e-05 4.488653e-04 #>  [5033,] 1.330471e-04 6.574511e-05 #>  [5034,] 1.419610e-05 1.235578e-05 #>  [5035,] 1.796193e-05 2.362527e-05 #>  [5036,] 2.700566e-05 1.651182e-05 #>  [5037,] 6.185081e-05 2.140836e-04 #>  [5038,] 2.182971e-05 1.448575e-05 #>  [5039,] 1.362622e-05 1.269763e-05 #>  [5040,] 1.421592e-05 1.275354e-05 #>  [5041,] 2.798556e-05 3.557876e-05 #>  [5042,] 1.203507e-05 1.498459e-05 #>  [5043,] 1.821158e-05 1.354211e-05 #>  [5044,] 1.356723e-05 1.297622e-05 #>  [5045,] 1.454683e-05 1.296095e-05 #>  [5046,] 1.799979e-05 1.590641e-05 #>  [5047,] 1.103113e-04 1.409885e-04 #>  [5048,] 1.754109e-05 1.271088e-05 #>  [5049,] 3.016212e-05 1.266754e-05 #>  [5050,] 3.985192e-05 1.848657e-05 #>  [5051,] 1.419241e-05 1.120412e-05 #>  [5052,] 2.515567e-05 4.779654e-05 #>  [5053,] 1.914495e-05 1.866408e-05 #>  [5054,] 1.195353e-05 1.209425e-05 #>  [5055,] 2.834990e-04 5.965927e-04 #>  [5056,] 1.385038e-05 1.234393e-05 #>  [5057,] 3.298448e-05 1.875688e-05 #>  [5058,] 1.457909e-05 1.288631e-05 #>  [5059,] 1.473793e-05 1.319423e-05 #>  [5060,] 1.432089e-05 1.474344e-05 #>  [5061,] 1.563822e-05 1.487773e-05 #>  [5062,] 1.368389e-05 1.209360e-05 #>  [5063,] 1.566752e-05 1.306098e-05 #>  [5064,] 2.008257e-05 3.119737e-04 #>  [5065,] 1.254208e-05 1.284364e-05 #>  [5066,] 1.719258e-05 9.890966e-05 #>  [5067,] 3.691076e-05 1.899835e-05 #>  [5068,] 3.097134e-04 4.415469e-04 #>  [5069,] 1.632759e-05 2.229040e-05 #>  [5070,] 1.160012e-04 1.921370e-05 #>  [5071,] 1.552320e-05 1.172350e-05 #>  [5072,] 1.575236e-05 1.327057e-05 #>  [5073,] 1.611870e-05 1.262143e-05 #>  [5074,] 2.688814e-05 1.393934e-05 #>  [5075,] 1.540010e-05 1.281319e-05 #>  [5076,] 1.262464e-05 1.148496e-05 #>  [5077,] 1.459069e-05 1.194681e-05 #>  [5078,] 4.136763e-05 4.313126e-05 #>  [5079,] 1.468026e-05 1.122920e-05 #>  [5080,] 1.247407e-04 8.692496e-05 #>  [5081,] 1.677336e-05 2.131419e-05 #>  [5082,] 1.787382e-05 1.674750e-05 #>  [5083,] 1.953152e-05 1.316492e-05 #>  [5084,] 1.260779e-05 1.046637e-05 #>  [5085,] 1.192827e-05 1.092543e-05 #>  [5086,] 1.248633e-05 1.982019e-05 #>  [5087,] 1.255584e-05 1.149155e-05 #>  [5088,] 1.475270e-05 1.189141e-05 #>  [5089,] 2.706245e-05 2.423398e-05 #>  [5090,] 1.435747e-05 1.204308e-05 #>  [5091,] 1.445005e-05 1.288094e-05 #>  [5092,] 1.624425e-05 1.218950e-05 #>  [5093,] 1.184475e-05 1.010785e-05 #>  [5094,] 1.788488e-05 1.187235e-05 #>  [5095,] 1.529072e-05 1.354540e-05 #>  [5096,] 3.985515e-04 2.314791e-04 #>  [5097,] 1.035440e-05 1.061097e-05 #>  [5098,] 5.235597e-04 4.521054e-05 #>  [5099,] 1.558208e-05 1.158140e-05 #>  [5100,] 1.262494e-05 1.160841e-05 #>  [5101,] 2.238954e-05 1.502016e-04 #>  [5102,] 2.102979e-05 2.008542e-05 #>  [5103,] 3.114291e-05 1.469844e-05 #>  [5104,] 1.394413e-05 1.148927e-05 #>  [5105,] 2.636040e-05 2.606215e-05 #>  [5106,] 1.059643e-05 1.058293e-05 #>  [5107,] 1.492930e-05 1.094284e-05 #>  [5108,] 1.299674e-05 1.135014e-05 #>  [5109,] 1.614509e-05 1.541047e-05 #>  [5110,] 2.957892e-05 1.788404e-05 #>  [5111,] 1.884690e-05 1.912355e-05 #>  [5112,] 1.170048e-05 1.100092e-05 #>  [5113,] 1.538561e-05 1.249738e-05 #>  [5114,] 1.239015e-05 1.292012e-05 #>  [5115,] 1.420809e-05 1.109437e-05 #>  [5116,] 1.460607e-05 1.229924e-05 #>  [5117,] 1.719669e-05 2.171029e-05 #>  [5118,] 1.582717e-05 1.356198e-05 #>  [5119,] 1.214367e-05 1.086896e-05 #>  [5120,] 1.541633e-05 1.268251e-05 #>  [5121,] 1.551385e-05 1.368698e-05 #>  [5122,] 1.516933e-05 1.360587e-05 #>  [5123,] 1.637852e-05 1.535637e-05 #>  [5124,] 1.267827e-05 1.067857e-05 #>  [5125,] 1.795363e-05 3.065650e-05 #>  [5126,] 1.491868e-05 1.201302e-05 #>  [5127,] 4.193347e-05 6.957018e-05 #>  [5128,] 4.850742e-05 1.771931e-05 #>  [5129,] 1.114662e-05 1.003279e-05 #>  [5130,] 1.529065e-05 1.642965e-05 #>  [5131,] 1.116391e-05 9.819291e-06 #>  [5132,] 1.424213e-05 1.891118e-05 #>  [5133,] 1.139497e-05 1.564166e-05 #>  [5134,] 1.178080e-05 1.195091e-05 #>  [5135,] 3.982658e-05 7.351162e-05 #>  [5136,] 1.406510e-04 1.805470e-04 #>  [5137,] 1.212814e-05 1.110104e-05 #>  [5138,] 1.603735e-05 1.296336e-05 #>  [5139,] 1.468847e-05 1.215846e-05 #>  [5140,] 1.192268e-05 1.109884e-05 #>  [5141,] 1.302891e-05 1.379594e-05 #>  [5142,] 2.856581e-05 1.182507e-05 #>  [5143,] 3.633365e-05 3.579372e-05 #>  [5144,] 2.054230e-05 1.489405e-05 #>  [5145,] 3.013343e-05 2.346937e-05 #>  [5146,] 1.195920e-05 3.312117e-05 #>  [5147,] 1.300361e-05 1.213131e-05 #>  [5148,] 1.383939e-05 1.161804e-05 #>  [5149,] 2.317326e-05 3.057010e-05 #>  [5150,] 4.408555e-05 1.752270e-05 #>  [5151,] 1.506306e-05 1.774128e-05 #>  [5152,] 1.307738e-05 1.072687e-05 #>  [5153,] 1.410486e-05 1.181850e-05 #>  [5154,] 1.398126e-05 1.233520e-05 #>  [5155,] 1.371941e-05 1.250143e-05 #>  [5156,] 2.972455e-05 4.215301e-05 #>  [5157,] 2.550617e-04 2.636531e-04 #>  [5158,] 3.247713e-05 1.670266e-05 #>  [5159,] 1.730443e-05 1.459400e-05 #>  [5160,] 1.211270e-05 1.183987e-05 #>  [5161,] 1.556165e-05 1.204820e-05 #>  [5162,] 3.206380e-05 2.173835e-05 #>  [5163,] 2.346975e-05 2.128842e-05 #>  [5164,] 1.964772e-05 1.198309e-05 #>  [5165,] 9.480122e-06 9.732451e-06 #>  [5166,] 2.065444e-05 2.464474e-05 #>  [5167,] 2.330924e-05 1.796939e-05 #>  [5168,] 2.426507e-05 2.526809e-05 #>  [5169,] 1.652451e-05 2.244643e-05 #>  [5170,] 2.870502e-05 2.725015e-05 #>  [5171,] 1.165821e-05 1.064630e-05 #>  [5172,] 2.369296e-05 1.392187e-05 #>  [5173,] 1.434556e-05 1.370576e-05 #>  [5174,] 2.643041e-05 1.331043e-05 #>  [5175,] 1.422672e-05 1.290709e-05 #>  [5176,] 1.449234e-05 1.334402e-05 #>  [5177,] 1.409805e-05 1.237291e-05 #>  [5178,] 1.132276e-05 1.080441e-05 #>  [5179,] 1.219385e-05 1.132046e-05 #>  [5180,] 1.348175e-05 1.214683e-05 #>  [5181,] 1.519431e-05 1.358256e-05 #>  [5182,] 1.207540e-05 1.116258e-05 #>  [5183,] 1.635598e-04 4.899504e-05 #>  [5184,] 3.678486e-05 9.977021e-04 #>  [5185,] 6.372390e-05 1.489895e-05 #>  [5186,] 2.643866e-04 3.007014e-04 #>  [5187,] 1.820978e-05 3.314861e-05 #>  [5188,] 1.919360e-05 2.792803e-05 #>  [5189,] 1.378713e-05 1.657092e-05 #>  [5190,] 4.432489e-04 1.394347e-04 #>  [5191,] 1.487665e-05 1.477467e-05 #>  [5192,] 1.620457e-05 1.312444e-05 #>  [5193,] 1.150068e-05 1.164495e-05 #>  [5194,] 1.114504e-05 1.046303e-05 #>  [5195,] 6.768189e-05 4.374225e-05 #>  [5196,] 1.588710e-05 1.278784e-05 #>  [5197,] 1.575742e-05 1.907219e-05 #>  [5198,] 2.693141e-05 3.238658e-05 #>  [5199,] 1.805985e-05 1.678967e-05 #>  [5200,] 1.452762e-05 1.360521e-05 #>  [5201,] 1.156540e-05 1.268153e-05 #>  [5202,] 1.571394e-05 1.099262e-05 #>  [5203,] 1.646647e-05 1.457718e-05 #>  [5204,] 1.443857e-05 1.430127e-05 #>  [5205,] 1.670416e-05 1.467234e-05 #>  [5206,] 1.702194e-05 1.519341e-05 #>  [5207,] 1.221362e-05 1.076037e-05 #>  [5208,] 9.915815e-06 1.023137e-05 #>  [5209,] 1.487333e-05 1.205056e-05 #>  [5210,] 1.745513e-05 2.039149e-05 #>  [5211,] 5.985762e-04 5.501542e-04 #>  [5212,] 8.865758e-04 4.009037e-04 #>  [5213,] 1.119192e-05 1.234229e-05 #>  [5214,] 1.593140e-05 1.316963e-05 #>  [5215,] 1.445361e-05 1.252472e-05 #>  [5216,] 3.963070e-05 1.267675e-05 #>  [5217,] 1.689194e-05 1.384731e-05 #>  [5218,] 1.327196e-05 1.222010e-05 #>  [5219,] 1.435244e-05 1.188410e-05 #>  [5220,] 1.233861e-05 1.094949e-05 #>  [5221,] 1.947943e-05 1.180970e-05 #>  [5222,] 4.304663e-05 1.488604e-05 #>  [5223,] 4.592757e-05 1.492121e-05 #>  [5224,] 3.263197e-05 1.355505e-05 #>  [5225,] 2.993067e-05 1.874676e-05 #>  [5226,] 1.728305e-04 4.808284e-05 #>  [5227,] 1.691164e-05 1.349987e-05 #>  [5228,] 7.755466e-05 1.127687e-04 #>  [5229,] 4.232660e-05 3.033263e-05 #>  [5230,] 8.859671e-04 9.284113e-04 #>  [5231,] 1.592888e-05 1.462870e-05 #>  [5232,] 1.407960e-05 1.152366e-05 #>  [5233,] 1.356013e-05 1.063679e-05 #>  [5234,] 1.457193e-05 1.160971e-05 #>  [5235,] 2.619941e-05 1.675921e-05 #>  [5236,] 1.622865e-05 1.405348e-05 #>  [5237,] 1.562687e-05 1.361907e-05 #>  [5238,] 1.384842e-05 1.781343e-05 #>  [5239,] 1.162576e-05 1.051207e-05 #>  [5240,] 3.302497e-05 3.447678e-04 #>  [5241,] 1.320874e-04 1.920582e-05 #>  [5242,] 1.935495e-05 3.039116e-05 #>  [5243,] 1.366749e-05 4.344266e-05 #>  [5244,] 1.729237e-05 1.290530e-05 #>  [5245,] 4.492634e-05 1.326008e-05 #>  [5246,] 1.546538e-05 1.153688e-05 #>  [5247,] 1.388796e-05 1.103445e-05 #>  [5248,] 3.218738e-05 3.861163e-05 #>  [5249,] 1.269296e-05 1.085872e-05 #>  [5250,] 2.389073e-05 2.187284e-05 #>  [5251,] 1.411642e-05 1.380290e-05 #>  [5252,] 3.209844e-05 1.424548e-05 #>  [5253,] 1.359614e-05 1.097413e-05 #>  [5254,] 8.492472e-04 6.317982e-04 #>  [5255,] 2.876201e-05 2.837462e-05 #>  [5256,] 1.548848e-05 1.340996e-05 #>  [5257,] 2.070660e-05 2.107007e-05 #>  [5258,] 1.555853e-05 1.284509e-05 #>  [5259,] 1.783187e-05 1.374264e-05 #>  [5260,] 1.392609e-05 1.112084e-05 #>  [5261,] 1.381151e-05 1.123475e-05 #>  [5262,] 1.546509e-05 1.450839e-05 #>  [5263,] 2.212863e-04 3.432453e-05 #>  [5264,] 2.265852e-05 1.709601e-05 #>  [5265,] 2.133258e-05 3.860609e-05 #>  [5266,] 8.059882e-04 7.245685e-04 #>  [5267,] 1.488198e-05 1.109023e-05 #>  [5268,] 7.153398e-05 2.279223e-05 #>  [5269,] 2.862462e-05 1.463496e-05 #>  [5270,] 1.539233e-05 1.568425e-05 #>  [5271,] 2.231285e-05 1.883814e-04 #>  [5272,] 3.959057e-05 3.828495e-05 #>  [5273,] 1.931819e-05 1.605242e-05 #>  [5274,] 1.426459e-05 1.287272e-05 #>  [5275,] 1.476180e-05 1.191132e-05 #>  [5276,] 2.211623e-05 3.136838e-05 #>  [5277,] 1.422847e-05 2.473032e-05 #>  [5278,] 1.552319e-05 1.434108e-05 #>  [5279,] 5.778312e-05 2.350641e-05 #>  [5280,] 2.670108e-05 1.225506e-05 #>  [5281,] 1.314953e-05 1.310307e-05 #>  [5282,] 2.110455e-05 1.271434e-05 #>  [5283,] 1.569346e-05 1.279484e-05 #>  [5284,] 1.204481e-05 1.076055e-05 #>  [5285,] 1.849383e-05 2.203581e-05 #>  [5286,] 1.329627e-05 1.152398e-05 #>  [5287,] 1.202848e-05 1.149537e-05 #>  [5288,] 1.174568e-05 1.047922e-05 #>  [5289,] 1.870228e-05 2.135733e-05 #>  [5290,] 6.101080e-05 1.643362e-05 #>  [5291,] 1.207411e-05 1.146170e-05 #>  [5292,] 1.176456e-05 1.461435e-05 #>  [5293,] 1.452350e-04 1.341808e-04 #>  [5294,] 7.629959e-05 7.918097e-05 #>  [5295,] 1.770683e-05 1.738463e-05 #>  [5296,] 1.350960e-05 1.213065e-05 #>  [5297,] 1.627925e-05 1.322667e-05 #>  [5298,] 3.243089e-05 2.906638e-05 #>  [5299,] 1.041853e-05 9.298119e-06 #>  [5300,] 1.239421e-05 1.129068e-05 #>  [5301,] 1.360395e-05 1.136372e-05 #>  [5302,] 7.855267e-05 7.088501e-05 #>  [5303,] 2.066506e-05 1.821737e-05 #>  [5304,] 1.630535e-05 2.212332e-05 #>  [5305,] 6.913264e-05 8.330221e-05 #>  [5306,] 1.244353e-05 1.027769e-05 #>  [5307,] 5.693770e-05 3.721275e-04 #>  [5308,] 1.357824e-05 4.463138e-05 #>  [5309,] 3.193095e-05 1.932516e-05 #>  [5310,] 1.295533e-05 1.181313e-05 #>  [5311,] 3.836731e-05 4.036204e-05 #>  [5312,] 1.794150e-05 1.923771e-05 #>  [5313,] 2.104770e-05 1.392349e-05 #>  [5314,] 1.372540e-05 1.245268e-05 #>  [5315,] 1.923196e-05 1.691116e-05 #>  [5316,] 1.218581e-05 1.212103e-05 #>  [5317,] 1.238040e-05 1.159319e-05 #>  [5318,] 1.274941e-05 1.128485e-05 #>  [5319,] 5.678863e-05 3.531510e-05 #>  [5320,] 1.510542e-05 1.590029e-05 #>  [5321,] 6.869405e-05 1.836590e-05 #>  [5322,] 5.453890e-05 1.531645e-05 #>  [5323,] 6.061193e-05 3.401330e-05 #>  [5324,] 4.201018e-05 1.954032e-05 #>  [5325,] 1.084873e-05 1.009047e-05 #>  [5326,] 2.849507e-04 1.927717e-05 #>  [5327,] 1.496392e-05 1.931592e-05 #>  [5328,] 1.658485e-05 1.361274e-05 #>  [5329,] 3.291438e-05 3.120118e-05 #>  [5330,] 1.565884e-05 1.367040e-05 #>  [5331,] 1.080363e-04 2.362757e-04 #>  [5332,] 1.666730e-05 1.686952e-05 #>  [5333,] 1.060034e-05 1.210164e-05 #>  [5334,] 1.432109e-05 1.350621e-05 #>  [5335,] 1.472803e-05 1.281393e-05 #>  [5336,] 1.949451e-05 1.155254e-05 #>  [5337,] 8.688482e-04 1.112822e-04 #>  [5338,] 1.124882e-05 9.881123e-06 #>  [5339,] 1.938885e-05 1.732552e-05 #>  [5340,] 1.125983e-05 1.053898e-05 #>  [5341,] 1.423153e-05 1.109510e-05 #>  [5342,] 1.410311e-05 1.199745e-05 #>  [5343,] 1.623647e-05 1.391172e-05 #>  [5344,] 4.186592e-05 1.708261e-05 #>  [5345,] 1.804081e-05 1.477977e-05 #>  [5346,] 2.221827e-05 1.217045e-05 #>  [5347,] 1.111160e-05 1.070429e-05 #>  [5348,] 1.491765e-05 1.304245e-05 #>  [5349,] 1.666262e-05 1.206807e-05 #>  [5350,] 4.496850e-05 1.367027e-05 #>  [5351,] 2.421261e-05 1.848695e-05 #>  [5352,] 1.656066e-05 1.407778e-05 #>  [5353,] 1.394101e-05 1.073570e-05 #>  [5354,] 1.574005e-05 1.040013e-05 #>  [5355,] 7.067464e-05 1.047910e-04 #>  [5356,] 1.294570e-05 1.097966e-05 #>  [5357,] 3.503255e-05 8.037961e-04 #>  [5358,] 1.287296e-05 1.194777e-05 #>  [5359,] 1.362882e-05 1.137638e-05 #>  [5360,] 1.563278e-05 1.605873e-05 #>  [5361,] 2.324059e-04 5.452868e-05 #>  [5362,] 1.083725e-05 1.083026e-05 #>  [5363,] 3.197770e-05 2.924096e-05 #>  [5364,] 1.342875e-05 1.274852e-05 #>  [5365,] 2.443633e-05 1.182308e-05 #>  [5366,] 1.694508e-05 1.461512e-05 #>  [5367,] 1.583855e-05 1.426524e-05 #>  [5368,] 4.952068e-04 4.991993e-04 #>  [5369,] 1.248938e-05 1.475761e-05 #>  [5370,] 5.680734e-05 3.114945e-05 #>  [5371,] 1.483541e-04 6.208319e-05 #>  [5372,] 3.465390e-05 1.377447e-05 #>  [5373,] 1.796272e-05 1.533277e-05 #>  [5374,] 4.968308e-05 4.340452e-05 #>  [5375,] 1.299119e-05 3.249293e-05 #>  [5376,] 9.877885e-05 1.113805e-03 #>  [5377,] 1.865953e-05 3.836505e-05 #>  [5378,] 1.406344e-05 1.231184e-05 #>  [5379,] 6.609094e-05 7.371665e-05 #>  [5380,] 3.592468e-04 1.288770e-04 #>  [5381,] 2.195772e-05 1.151361e-05 #>  [5382,] 1.322602e-05 1.254066e-05 #>  [5383,] 6.414088e-05 1.459591e-05 #>  [5384,] 1.129444e-05 1.008342e-05 #>  [5385,] 1.287757e-05 1.216094e-05 #>  [5386,] 1.299073e-05 1.147310e-05 #>  [5387,] 1.527287e-05 1.314790e-05 #>  [5388,] 1.276448e-05 1.269881e-05 #>  [5389,] 1.385261e-05 1.269435e-05 #>  [5390,] 3.479502e-05 2.832995e-05 #>  [5391,] 1.395214e-05 1.155256e-05 #>  [5392,] 1.579350e-05 1.503197e-05 #>  [5393,] 1.423287e-05 1.149903e-05 #>  [5394,] 1.380250e-05 1.275055e-05 #>  [5395,] 4.494881e-05 2.398408e-05 #>  [5396,] 1.837806e-04 2.466358e-05 #>  [5397,] 1.328987e-05 1.150032e-05 #>  [5398,] 1.926379e-05 2.067139e-05 #>  [5399,] 2.313787e-05 4.514814e-05 #>  [5400,] 3.474132e-05 6.681821e-04 #>  [5401,] 1.405920e-05 1.116883e-05 #>  [5402,] 1.264210e-05 1.193979e-05 #>  [5403,] 3.634521e-05 3.807401e-05 #>  [5404,] 2.125206e-05 2.755845e-05 #>  [5405,] 1.410443e-05 1.467226e-05 #>  [5406,] 1.345787e-05 1.249779e-05 #>  [5407,] 1.400655e-05 1.351611e-05 #>  [5408,] 1.735051e-05 1.844815e-05 #>  [5409,] 1.394956e-05 1.279936e-05 #>  [5410,] 4.785675e-05 3.837792e-05 #>  [5411,] 1.897342e-04 7.888161e-05 #>  [5412,] 2.836228e-05 2.564571e-05 #>  [5413,] 1.709208e-05 1.315156e-05 #>  [5414,] 1.648906e-05 8.010179e-04 #>  [5415,] 1.692538e-05 1.637050e-05 #>  [5416,] 1.448954e-05 1.190092e-05 #>  [5417,] 1.527695e-05 1.364878e-05 #>  [5418,] 2.640886e-04 5.513218e-04 #>  [5419,] 5.914712e-05 3.508537e-05 #>  [5420,] 2.238794e-05 4.718862e-05 #>  [5421,] 2.069115e-05 1.571178e-05 #>  [5422,] 5.671150e-04 2.757355e-04 #>  [5423,] 1.317550e-05 1.080497e-05 #>  [5424,] 2.539516e-05 2.237488e-05 #>  [5425,] 1.346361e-04 5.246896e-05 #>  [5426,] 1.084309e-05 1.043599e-05 #>  [5427,] 1.531290e-05 1.623733e-05 #>  [5428,] 1.741596e-05 1.685627e-05 #>  [5429,] 9.935713e-05 6.396783e-05 #>  [5430,] 6.865767e-05 1.591233e-05 #>  [5431,] 8.937190e-05 3.468137e-05 #>  [5432,] 1.930035e-05 1.563799e-05 #>  [5433,] 2.038160e-05 1.727056e-05 #>  [5434,] 1.369754e-05 1.210629e-05 #>  [5435,] 1.495539e-05 1.333929e-05 #>  [5436,] 1.214302e-05 1.323119e-05 #>  [5437,] 1.363695e-05 1.380402e-05 #>  [5438,] 1.438376e-05 1.163573e-05 #>  [5439,] 1.538850e-05 1.474093e-05 #>  [5440,] 1.224068e-05 1.050895e-05 #>  [5441,] 2.103483e-05 1.484628e-05 #>  [5442,] 6.654364e-05 1.973826e-05 #>  [5443,] 1.235758e-05 1.273835e-05 #>  [5444,] 1.482210e-05 1.162226e-05 #>  [5445,] 1.142423e-05 1.034711e-05 #>  [5446,] 1.692152e-05 1.683948e-05 #>  [5447,] 1.202394e-05 1.137280e-05 #>  [5448,] 2.775052e-05 1.167483e-05 #>  [5449,] 1.210943e-05 1.246367e-05 #>  [5450,] 1.460954e-05 1.361652e-05 #>  [5451,] 1.201739e-05 1.095360e-05 #>  [5452,] 1.164647e-05 1.074972e-05 #>  [5453,] 3.742606e-05 1.674431e-05 #>  [5454,] 1.893412e-04 5.986302e-05 #>  [5455,] 1.383951e-05 1.259212e-05 #>  [5456,] 1.199786e-05 1.085157e-05 #>  [5457,] 5.913311e-05 1.750956e-05 #>  [5458,] 2.688357e-05 1.966464e-05 #>  [5459,] 6.121566e-05 1.325879e-04 #>  [5460,] 1.635078e-05 2.431155e-05 #>  [5461,] 1.602657e-05 1.470406e-05 #>  [5462,] 1.120362e-05 1.390797e-05 #>  [5463,] 1.911804e-05 2.365758e-05 #>  [5464,] 1.163147e-05 1.099348e-05 #>  [5465,] 1.182798e-04 1.586981e-05 #>  [5466,] 1.286686e-05 2.539375e-05 #>  [5467,] 1.313791e-05 1.261334e-05 #>  [5468,] 2.796304e-05 2.576244e-05 #>  [5469,] 8.171718e-05 1.922362e-05 #>  [5470,] 1.598354e-05 1.282898e-05 #>  [5471,] 1.362793e-05 1.426616e-05 #>  [5472,] 1.251101e-05 1.240866e-05 #>  [5473,] 1.068894e-05 1.100488e-05 #>  [5474,] 2.004015e-05 1.082186e-05 #>  [5475,] 4.909758e-05 1.667803e-05 #>  [5476,] 2.054467e-05 1.412984e-05 #>  [5477,] 2.237800e-05 1.388831e-05 #>  [5478,] 1.415191e-05 1.504556e-05 #>  [5479,] 2.129484e-05 3.443176e-05 #>  [5480,] 2.532834e-05 1.263104e-05 #>  [5481,] 1.775453e-05 1.819211e-05 #>  [5482,] 1.178023e-03 9.735986e-05 #>  [5483,] 2.781059e-05 1.377861e-05 #>  [5484,] 1.277569e-05 1.081182e-05 #>  [5485,] 8.253788e-05 3.053701e-05 #>  [5486,] 1.817135e-05 1.353263e-05 #>  [5487,] 1.942832e-05 1.243300e-05 #>  [5488,] 3.877476e-05 3.663125e-05 #>  [5489,] 4.682547e-05 3.266001e-05 #>  [5490,] 1.367590e-05 1.156578e-05 #>  [5491,] 3.379909e-05 4.258820e-04 #>  [5492,] 1.605917e-05 2.822695e-05 #>  [5493,] 2.662233e-05 1.455690e-05 #>  [5494,] 1.207535e-05 1.089947e-05 #>  [5495,] 1.398950e-05 1.262646e-05 #>  [5496,] 1.354242e-05 1.113193e-05 #>  [5497,] 2.850577e-05 2.124284e-05 #>  [5498,] 1.548069e-05 1.346110e-05 #>  [5499,] 2.705232e-05 2.902532e-05 #>  [5500,] 1.510250e-05 1.258240e-05 #>  [5501,] 1.364093e-05 1.244398e-05 #>  [5502,] 1.134497e-05 9.847504e-06 #>  [5503,] 1.810546e-04 2.876570e-04 #>  [5504,] 3.722927e-05 1.520041e-05 #>  [5505,] 1.410234e-05 1.263053e-05 #>  [5506,] 9.380071e-06 9.797595e-06 #>  [5507,] 1.669850e-05 2.050747e-05 #>  [5508,] 3.647301e-05 2.296531e-05 #>  [5509,] 1.624145e-05 1.695667e-05 #>  [5510,] 1.797965e-04 1.032806e-04 #>  [5511,] 2.228454e-05 1.437728e-05 #>  [5512,] 1.240337e-05 1.194613e-05 #>  [5513,] 1.440763e-05 1.131122e-05 #>  [5514,] 1.157396e-05 1.098350e-05 #>  [5515,] 3.195091e-04 3.680576e-04 #>  [5516,] 1.363048e-05 1.113637e-05 #>  [5517,] 1.414684e-05 1.147218e-05 #>  [5518,] 3.087062e-04 3.152122e-04 #>  [5519,] 1.329659e-05 1.125964e-05 #>  [5520,] 1.656107e-05 1.396657e-05 #>  [5521,] 1.239903e-05 1.110901e-05 #>  [5522,] 3.419482e-04 6.609345e-05 #>  [5523,] 1.805165e-05 1.188758e-05 #>  [5524,] 2.655530e-05 1.636828e-05 #>  [5525,] 8.721242e-05 2.024787e-05 #>  [5526,] 2.011727e-04 4.288218e-05 #>  [5527,] 1.390590e-05 1.358115e-05 #>  [5528,] 1.066215e-05 1.120585e-05 #>  [5529,] 1.444944e-05 1.541824e-05 #>  [5530,] 1.030076e-03 4.949786e-04 #>  [5531,] 1.608349e-05 1.610866e-05 #>  [5532,] 1.532287e-05 1.245434e-05 #>  [5533,] 8.852594e-04 5.240866e-04 #>  [5534,] 1.417644e-05 1.309538e-05 #>  [5535,] 4.435486e-05 2.009129e-05 #>  [5536,] 1.226858e-05 1.139423e-05 #>  [5537,] 1.718618e-05 1.490907e-05 #>  [5538,] 4.045975e-04 4.657010e-05 #>  [5539,] 8.494628e-05 8.599755e-05 #>  [5540,] 1.835671e-05 1.797975e-05 #>  [5541,] 2.419029e-05 2.989809e-05 #>  [5542,] 1.527192e-05 1.229643e-05 #>  [5543,] 2.235065e-05 2.424153e-05 #>  [5544,] 1.641025e-05 1.659312e-05 #>  [5545,] 1.536654e-05 1.280270e-05 #>  [5546,] 2.055632e-05 1.222286e-05 #>  [5547,] 1.241213e-05 1.233279e-05 #>  [5548,] 1.289972e-05 1.526781e-05 #>  [5549,] 1.504506e-05 1.200928e-05 #>  [5550,] 2.608616e-05 8.546807e-05 #>  [5551,] 3.983503e-05 5.585759e-05 #>  [5552,] 1.709379e-05 3.072584e-05 #>  [5553,] 6.077027e-05 1.402206e-05 #>  [5554,] 1.304459e-05 1.133732e-05 #>  [5555,] 1.365911e-05 1.198611e-05 #>  [5556,] 1.390025e-05 1.244908e-05 #>  [5557,] 1.179163e-05 1.179215e-05 #>  [5558,] 1.445993e-05 1.642770e-05 #>  [5559,] 1.854090e-05 1.445550e-05 #>  [5560,] 8.039297e-05 1.519066e-05 #>  [5561,] 1.335708e-05 1.282696e-05 #>  [5562,] 1.919789e-05 1.297693e-05 #>  [5563,] 2.488087e-04 6.071785e-04 #>  [5564,] 2.975985e-05 1.323216e-05 #>  [5565,] 1.360496e-04 2.872577e-04 #>  [5566,] 1.511987e-05 1.441053e-05 #>  [5567,] 1.405423e-05 1.304324e-05 #>  [5568,] 1.480765e-05 1.939641e-05 #>  [5569,] 1.415309e-05 1.196011e-05 #>  [5570,] 1.478756e-05 1.531928e-05 #>  [5571,] 3.414687e-05 1.212744e-04 #>  [5572,] 5.647259e-04 3.666956e-05 #>  [5573,] 1.362195e-05 1.148847e-05 #>  [5574,] 1.236195e-05 1.261901e-05 #>  [5575,] 1.353848e-05 1.138401e-05 #>  [5576,] 8.048333e-05 8.138185e-05 #>  [5577,] 2.801639e-05 1.431278e-05 #>  [5578,] 9.753107e-05 8.119977e-05 #>  [5579,] 2.137875e-05 2.120569e-05 #>  [5580,] 1.417272e-05 1.162672e-05 #>  [5581,] 1.517582e-05 1.619250e-05 #>  [5582,] 1.571414e-05 1.534886e-05 #>  [5583,] 9.136493e-04 4.517445e-04 #>  [5584,] 2.334699e-05 1.823432e-05 #>  [5585,] 1.599651e-05 1.442845e-05 #>  [5586,] 2.033375e-05 2.182702e-05 #>  [5587,] 1.335745e-05 1.354193e-05 #>  [5588,] 1.395437e-05 1.243185e-05 #>  [5589,] 1.692867e-05 1.785393e-05 #>  [5590,] 2.878682e-05 6.295956e-05 #>  [5591,] 1.826345e-05 1.319116e-05 #>  [5592,] 3.887541e-05 1.549502e-05 #>  [5593,] 1.949666e-04 4.555809e-05 #>  [5594,] 1.773821e-05 1.145817e-05 #>  [5595,] 1.330095e-05 1.523656e-05 #>  [5596,] 1.973270e-05 1.573954e-05 #>  [5597,] 1.214695e-05 1.004834e-05 #>  [5598,] 1.905463e-05 2.622671e-05 #>  [5599,] 1.606258e-05 1.488071e-05 #>  [5600,] 1.314335e-05 1.261982e-05 #>  [5601,] 1.233463e-05 1.086777e-05 #>  [5602,] 1.132215e-04 1.097241e-04 #>  [5603,] 1.936035e-05 2.845300e-05 #>  [5604,] 3.207742e-05 2.670886e-05 #>  [5605,] 1.584697e-05 1.438708e-05 #>  [5606,] 4.847727e-05 3.146025e-05 #>  [5607,] 1.867494e-05 3.922188e-05 #>  [5608,] 2.192682e-05 4.129757e-05 #>  [5609,] 1.354362e-05 1.283511e-05 #>  [5610,] 1.638172e-05 1.227770e-05 #>  [5611,] 2.725480e-05 1.371903e-05 #>  [5612,] 1.572000e-05 1.078617e-05 #>  [5613,] 3.118650e-05 1.076993e-04 #>  [5614,] 3.371236e-05 1.884725e-05 #>  [5615,] 2.437648e-05 2.841839e-05 #>  [5616,] 1.248412e-05 1.187360e-05 #>  [5617,] 1.204069e-05 1.080938e-05 #>  [5618,] 1.659595e-05 1.542312e-05 #>  [5619,] 1.193922e-05 1.112529e-05 #>  [5620,] 5.651861e-05 4.314879e-05 #>  [5621,] 1.348353e-05 1.218786e-05 #>  [5622,] 1.414978e-05 1.241032e-05 #>  [5623,] 7.342009e-05 2.555666e-05 #>  [5624,] 1.200973e-05 9.890119e-06 #>  [5625,] 1.579966e-05 1.626870e-05 #>  [5626,] 4.417285e-05 1.919640e-05 #>  [5627,] 1.700950e-05 1.460856e-05 #>  [5628,] 1.216486e-05 9.438312e-06 #>  [5629,] 1.521061e-05 1.237973e-05 #>  [5630,] 1.671059e-05 1.637615e-05 #>  [5631,] 3.614597e-04 3.513548e-05 #>  [5632,] 1.545981e-05 1.333283e-05 #>  [5633,] 4.922650e-05 1.963951e-05 #>  [5634,] 1.546525e-05 1.538452e-05 #>  [5635,] 2.670359e-05 1.229792e-05 #>  [5636,] 1.191269e-04 1.711033e-05 #>  [5637,] 1.693070e-05 1.457308e-05 #>  [5638,] 2.013893e-05 1.323078e-05 #>  [5639,] 1.202669e-04 2.463131e-04 #>  [5640,] 1.644281e-05 1.430994e-05 #>  [5641,] 5.749928e-04 2.829720e-04 #>  [5642,] 3.593716e-05 2.634088e-05 #>  [5643,] 3.824145e-05 7.670173e-04 #>  [5644,] 1.855318e-04 2.181045e-05 #>  [5645,] 1.714248e-05 1.331515e-05 #>  [5646,] 1.658737e-05 1.386300e-05 #>  [5647,] 1.714829e-05 1.415127e-05 #>  [5648,] 1.949548e-05 1.583060e-05 #>  [5649,] 1.652125e-05 1.089103e-05 #>  [5650,] 1.210900e-05 1.207011e-05 #>  [5651,] 2.040529e-05 1.434188e-05 #>  [5652,] 1.631743e-05 1.303609e-05 #>  [5653,] 5.456434e-05 8.508028e-05 #>  [5654,] 1.342999e-05 1.315256e-05 #>  [5655,] 1.824824e-05 3.821818e-05 #>  [5656,] 1.579878e-05 3.263417e-05 #>  [5657,] 3.356188e-05 1.527761e-05 #>  [5658,] 1.702399e-05 1.477045e-05 #>  [5659,] 1.508653e-05 1.235785e-05 #>  [5660,] 1.891883e-05 1.020232e-04 #>  [5661,] 5.235928e-04 2.893257e-04 #>  [5662,] 2.648263e-05 2.023919e-05 #>  [5663,] 2.217449e-04 1.737015e-05 #>  [5664,] 1.449408e-05 1.118374e-05 #>  [5665,] 1.635727e-05 1.159016e-05 #>  [5666,] 1.326909e-05 1.225552e-05 #>  [5667,] 1.517059e-05 1.251854e-05 #>  [5668,] 5.666230e-04 1.037458e-03 #>  [5669,] 2.742433e-04 1.026559e-04 #>  [5670,] 7.576903e-05 5.377932e-05 #>  [5671,] 1.615039e-05 1.214121e-05 #>  [5672,] 8.195002e-05 7.494834e-05 #>  [5673,] 5.336997e-05 2.845588e-05 #>  [5674,] 1.454573e-05 1.227039e-05 #>  [5675,] 3.248746e-05 2.161314e-05 #>  [5676,] 4.429458e-05 1.991329e-05 #>  [5677,] 1.794131e-05 1.299078e-05 #>  [5678,] 2.262138e-05 1.566468e-05 #>  [5679,] 1.264843e-05 1.431661e-05 #>  [5680,] 1.411653e-05 6.174786e-05 #>  [5681,] 7.035974e-05 6.402209e-05 #>  [5682,] 1.691704e-04 1.996221e-05 #>  [5683,] 1.337852e-05 1.325529e-05 #>  [5684,] 1.838437e-05 1.908138e-05 #>  [5685,] 3.894535e-05 2.072583e-05 #>  [5686,] 1.338628e-05 1.101312e-05 #>  [5687,] 1.783189e-05 1.630244e-05 #>  [5688,] 1.498065e-05 1.317428e-05 #>  [5689,] 1.495975e-05 1.185110e-05 #>  [5690,] 1.376390e-05 1.209546e-05 #>  [5691,] 1.360066e-05 1.036619e-05 #>  [5692,] 1.024442e-05 9.974420e-06 #>  [5693,] 1.242536e-05 1.127231e-05 #>  [5694,] 1.366672e-05 1.141091e-05 #>  [5695,] 1.723502e-05 1.637195e-05 #>  [5696,] 5.348397e-04 5.023539e-04 #>  [5697,] 1.623184e-05 1.276082e-05 #>  [5698,] 1.281134e-05 1.312185e-05 #>  [5699,] 1.869116e-05 2.155820e-05 #>  [5700,] 1.304583e-05 2.339835e-05 #>  [5701,] 3.188209e-05 2.769215e-05 #>  [5702,] 5.760856e-05 3.017914e-05 #>  [5703,] 2.338053e-05 2.506121e-05 #>  [5704,] 2.046486e-05 1.297768e-04 #>  [5705,] 1.923953e-05 2.212449e-05 #>  [5706,] 8.324971e-05 3.822231e-05 #>  [5707,] 3.594483e-05 7.474568e-05 #>  [5708,] 7.357025e-05 1.522817e-05 #>  [5709,] 1.401607e-05 1.281178e-05 #>  [5710,] 2.668173e-05 2.396392e-04 #>  [5711,] 2.159985e-05 1.434786e-05 #>  [5712,] 1.677591e-04 2.722836e-04 #>  [5713,] 1.381504e-05 1.293653e-05 #>  [5714,] 1.366916e-05 1.545571e-05 #>  [5715,] 3.460915e-05 4.169146e-04 #>  [5716,] 7.050958e-05 5.838148e-05 #>  [5717,] 1.563010e-04 2.083542e-05 #>  [5718,] 1.612424e-05 1.163916e-05 #>  [5719,] 9.749701e-05 2.431016e-05 #>  [5720,] 1.535234e-05 1.504489e-05 #>  [5721,] 2.911110e-05 1.327666e-05 #>  [5722,] 1.512696e-05 1.345558e-05 #>  [5723,] 1.823649e-05 1.372877e-05 #>  [5724,] 1.611571e-05 2.577943e-05 #>  [5725,] 1.334706e-05 1.176168e-05 #>  [5726,] 1.100915e-05 1.894656e-05 #>  [5727,] 1.342111e-05 1.075855e-05 #>  [5728,] 9.184195e-04 8.555453e-04 #>  [5729,] 1.255993e-05 1.314989e-05 #>  [5730,] 2.728791e-05 2.170705e-05 #>  [5731,] 1.546003e-05 1.342146e-05 #>  [5732,] 5.811430e-04 9.861776e-04 #>  [5733,] 1.479602e-05 1.177581e-05 #>  [5734,] 1.247838e-05 1.101197e-05 #>  [5735,] 1.212245e-05 1.343110e-05 #>  [5736,] 1.082597e-05 9.700888e-06 #>  [5737,] 1.737685e-05 1.739603e-05 #>  [5738,] 1.753545e-05 3.292936e-05 #>  [5739,] 1.434077e-05 1.241986e-05 #>  [5740,] 1.213585e-05 1.103320e-05 #>  [5741,] 1.449865e-05 1.238082e-05 #>  [5742,] 1.308700e-05 1.836266e-05 #>  [5743,] 1.077565e-05 9.817377e-06 #>  [5744,] 2.418479e-05 2.779921e-05 #>  [5745,] 1.722076e-05 1.336470e-05 #>  [5746,] 1.612022e-05 5.471774e-05 #>  [5747,] 1.179640e-05 1.123306e-05 #>  [5748,] 1.308254e-05 1.136885e-05 #>  [5749,] 1.539211e-05 1.433769e-05 #>  [5750,] 1.222971e-05 1.257899e-05 #>  [5751,] 2.230622e-05 1.667051e-05 #>  [5752,] 2.711875e-05 1.894305e-05 #>  [5753,] 1.844908e-05 2.141335e-05 #>  [5754,] 6.074705e-05 1.084625e-04 #>  [5755,] 8.270604e-05 2.169249e-05 #>  [5756,] 2.265490e-05 3.325986e-05 #>  [5757,] 1.079943e-05 1.095130e-05 #>  [5758,] 1.297532e-05 1.094642e-05 #>  [5759,] 1.295549e-05 1.110408e-05 #>  [5760,] 1.172053e-05 1.082814e-05 #>  [5761,] 1.405415e-05 1.248653e-05 #>  [5762,] 1.049188e-05 9.874959e-06 #>  [5763,] 1.360108e-05 1.082439e-05 #>  [5764,] 2.669734e-05 1.274685e-04 #>  [5765,] 8.783836e-05 5.779258e-05 #>  [5766,] 1.290925e-05 1.266071e-05 #>  [5767,] 1.911858e-05 1.559004e-05 #>  [5768,] 2.806457e-05 1.825510e-05 #>  [5769,] 1.251033e-05 1.131006e-05 #>  [5770,] 1.626167e-05 1.292728e-05 #>  [5771,] 8.129205e-04 4.058744e-04 #>  [5772,] 1.142630e-05 1.057040e-05 #>  [5773,] 1.267432e-05 1.056278e-05 #>  [5774,] 1.057295e-05 9.237676e-06 #>  [5775,] 3.169631e-05 1.343071e-05 #>  [5776,] 2.112130e-05 1.245945e-05 #>  [5777,] 1.261242e-05 1.057204e-05 #>  [5778,] 1.374484e-05 1.247201e-05 #>  [5779,] 5.814475e-05 2.821357e-05 #>  [5780,] 1.291934e-04 4.490303e-05 #>  [5781,] 4.219358e-05 2.678135e-05 #>  [5782,] 2.313879e-05 2.078603e-05 #>  [5783,] 1.379775e-05 1.206515e-05 #>  [5784,] 1.157171e-05 2.442251e-05 #>  [5785,] 1.497673e-05 1.318070e-05 #>  [5786,] 1.943408e-05 2.070836e-05 #>  [5787,] 1.804434e-05 1.689118e-05 #>  [5788,] 1.285150e-05 1.163362e-05 #>  [5789,] 2.481026e-05 1.868274e-05 #>  [5790,] 1.001567e-05 9.613020e-06 #>  [5791,] 2.216909e-05 2.127371e-05 #>  [5792,] 1.689356e-05 2.507667e-05 #>  [5793,] 1.657268e-05 1.280926e-05 #>  [5794,] 1.728679e-05 2.154611e-05 #>  [5795,] 3.690152e-05 5.408705e-05 #>  [5796,] 2.202581e-05 1.645903e-05 #>  [5797,] 2.074039e-05 4.630975e-05 #>  [5798,] 2.155843e-05 2.636969e-05 #>  [5799,] 1.584570e-05 1.794901e-05 #>  [5800,] 1.321176e-05 1.187330e-05 #>  [5801,] 3.506282e-05 3.583709e-05 #>  [5802,] 2.094630e-05 1.411243e-05 #>  [5803,] 1.054779e-05 1.119184e-05 #>  [5804,] 1.202110e-05 1.382101e-05 #>  [5805,] 1.505025e-05 1.437124e-05 #>  [5806,] 1.503446e-05 1.282743e-05 #>  [5807,] 5.594675e-05 3.610440e-05 #>  [5808,] 1.305268e-05 1.293602e-05 #>  [5809,] 3.626530e-05 1.889126e-05 #>  [5810,] 1.235538e-05 1.165206e-05 #>  [5811,] 2.016509e-05 1.546202e-05 #>  [5812,] 1.459212e-05 1.077730e-05 #>  [5813,] 1.448654e-05 1.147066e-05 #>  [5814,] 1.430343e-05 1.268362e-05 #>  [5815,] 1.571212e-05 1.321730e-05 #>  [5816,] 1.225377e-05 1.252819e-05 #>  [5817,] 1.292336e-05 1.051343e-05 #>  [5818,] 1.309645e-05 1.099628e-05 #>  [5819,] 1.912467e-04 2.861890e-05 #>  [5820,] 1.343002e-05 1.150050e-05 #>  [5821,] 1.525776e-05 1.321046e-05 #>  [5822,] 1.881450e-05 1.960267e-05 #>  [5823,] 1.534870e-05 1.296237e-05 #>  [5824,] 1.139917e-05 1.174732e-05 #>  [5825,] 1.310681e-05 1.240164e-05 #>  [5826,] 1.351840e-05 1.119362e-05 #>  [5827,] 7.003060e-05 1.740791e-05 #>  [5828,] 6.717288e-05 3.384886e-05 #>  [5829,] 1.151603e-05 1.064260e-05 #>  [5830,] 1.540871e-05 6.181274e-05 #>  [5831,] 1.093176e-05 1.094386e-05 #>  [5832,] 4.808419e-05 1.756691e-05 #>  [5833,] 1.409947e-05 1.263332e-05 #>  [5834,] 1.865231e-05 2.203463e-05 #>  [5835,] 1.350559e-05 1.652363e-05 #>  [5836,] 1.679635e-05 1.338247e-05 #>  [5837,] 2.240776e-05 2.275033e-05 #>  [5838,] 1.093778e-05 1.211512e-05 #>  [5839,] 1.400840e-05 1.399146e-05 #>  [5840,] 1.225988e-05 1.074371e-05 #>  [5841,] 1.373544e-05 1.186052e-05 #>  [5842,] 1.310318e-05 1.231555e-05 #>  [5843,] 4.705829e-05 1.393734e-04 #>  [5844,] 2.261035e-04 3.986260e-04 #>  [5845,] 1.810903e-05 1.705768e-05 #>  [5846,] 1.654568e-05 1.368959e-05 #>  [5847,] 1.234600e-05 3.108730e-05 #>  [5848,] 7.211597e-04 3.499382e-05 #>  [5849,] 2.638514e-05 1.985883e-05 #>  [5850,] 1.624429e-05 1.822590e-05 #>  [5851,] 1.309092e-04 8.263557e-04 #>  [5852,] 1.119502e-05 1.169422e-05 #>  [5853,] 2.273617e-05 2.077668e-05 #>  [5854,] 1.259863e-05 1.110186e-05 #>  [5855,] 1.846129e-05 1.481075e-05 #>  [5856,] 1.620818e-05 2.133917e-05 #>  [5857,] 2.788727e-05 6.205105e-05 #>  [5858,] 1.494193e-05 1.442440e-05 #>  [5859,] 4.209840e-05 4.021457e-05 #>  [5860,] 2.004675e-05 1.292736e-05 #>  [5861,] 2.234562e-05 1.718489e-05 #>  [5862,] 1.158296e-05 1.080584e-05 #>  [5863,] 1.147969e-05 1.051396e-05 #>  [5864,] 1.316623e-05 1.321979e-05 #>  [5865,] 1.290856e-05 4.851856e-05 #>  [5866,] 1.465630e-05 1.272426e-05 #>  [5867,] 3.228291e-05 2.324480e-05 #>  [5868,] 2.140879e-05 1.769285e-05 #>  [5869,] 1.542203e-05 1.296745e-05 #>  [5870,] 1.446638e-05 1.288172e-05 #>  [5871,] 3.072185e-04 6.788304e-05 #>  [5872,] 2.487269e-05 1.321194e-05 #>  [5873,] 2.343551e-05 4.410125e-05 #>  [5874,] 1.168730e-05 1.023682e-05 #>  [5875,] 5.477200e-05 3.239396e-05 #>  [5876,] 5.968650e-05 2.682025e-05 #>  [5877,] 1.560585e-05 1.260887e-05 #>  [5878,] 3.164196e-05 1.594933e-04 #>  [5879,] 1.252095e-05 1.912932e-05 #>  [5880,] 1.179355e-05 1.141567e-05 #>  [5881,] 1.432535e-05 1.455866e-05 #>  [5882,] 2.621161e-04 6.462948e-05 #>  [5883,] 1.419866e-05 1.201316e-05 #>  [5884,] 1.461191e-05 5.009668e-05 #>  [5885,] 4.938002e-05 1.267992e-05 #>  [5886,] 1.414799e-05 1.218451e-05 #>  [5887,] 1.387083e-05 1.168268e-05 #>  [5888,] 1.263478e-05 1.156861e-05 #>  [5889,] 1.037221e-05 1.012714e-05 #>  [5890,] 1.497294e-05 1.428546e-05 #>  [5891,] 1.194267e-05 1.015606e-05 #>  [5892,] 8.014022e-05 6.959564e-05 #>  [5893,] 2.247169e-04 3.155376e-05 #>  [5894,] 1.739759e-05 1.253991e-05 #>  [5895,] 1.294039e-05 1.168988e-05 #>  [5896,] 1.171286e-05 1.019694e-05 #>  [5897,] 6.196778e-05 3.348373e-04 #>  [5898,] 1.317215e-05 1.194099e-05 #>  [5899,] 1.276511e-05 1.037172e-05 #>  [5900,] 1.143608e-05 1.044721e-05 #>  [5901,] 2.216532e-04 9.562931e-05 #>  [5902,] 2.813472e-04 1.420136e-04 #>  [5903,] 1.765344e-05 1.405787e-05 #>  [5904,] 6.918632e-05 2.999183e-04 #>  [5905,] 1.367247e-05 1.051515e-05 #>  [5906,] 2.330817e-05 6.660313e-05 #>  [5907,] 1.202094e-05 1.207298e-05 #>  [5908,] 1.962692e-05 1.864756e-05 #>  [5909,] 5.107652e-05 5.834674e-05 #>  [5910,] 1.167929e-05 1.491381e-05 #>  [5911,] 1.383950e-05 1.186620e-05 #>  [5912,] 1.287217e-05 1.223355e-05 #>  [5913,] 1.488673e-04 1.005895e-04 #>  [5914,] 1.866606e-05 1.838410e-05 #>  [5915,] 1.146427e-05 1.107727e-05 #>  [5916,] 1.173414e-05 1.340589e-05 #>  [5917,] 2.046870e-05 2.497240e-05 #>  [5918,] 1.094571e-05 1.095043e-05 #>  [5919,] 1.520973e-05 1.291658e-05 #>  [5920,] 1.490536e-05 1.250391e-05 #>  [5921,] 4.873389e-05 1.965128e-05 #>  [5922,] 1.440875e-05 1.229200e-05 #>  [5923,] 1.572053e-05 1.323984e-05 #>  [5924,] 1.341544e-05 1.086050e-05 #>  [5925,] 1.485368e-05 1.320573e-05 #>  [5926,] 1.008895e-05 1.041054e-05 #>  [5927,] 1.341579e-05 1.237143e-05 #>  [5928,] 1.766304e-05 1.331941e-05 #>  [5929,] 1.372578e-05 1.119359e-05 #>  [5930,] 1.052484e-05 1.023456e-05 #>  [5931,] 2.272593e-05 1.368985e-04 #>  [5932,] 6.632565e-04 6.224019e-04 #>  [5933,] 1.370462e-05 1.145943e-05 #>  [5934,] 1.662919e-05 1.513541e-05 #>  [5935,] 1.182841e-05 1.224238e-05 #>  [5936,] 1.344418e-05 1.128759e-05 #>  [5937,] 1.445571e-05 1.187150e-05 #>  [5938,] 5.542453e-05 1.659881e-05 #>  [5939,] 5.510952e-04 1.266689e-04 #>  [5940,] 1.795829e-05 1.317560e-05 #>  [5941,] 3.112661e-04 1.045342e-04 #>  [5942,] 2.873278e-05 2.657538e-05 #>  [5943,] 1.559018e-05 1.306813e-05 #>  [5944,] 3.378666e-05 1.609329e-05 #>  [5945,] 1.117372e-05 1.078313e-05 #>  [5946,] 1.383657e-05 1.199068e-05 #>  [5947,] 1.621468e-05 1.971325e-05 #>  [5948,] 2.819306e-05 2.852084e-05 #>  [5949,] 1.732416e-05 3.415825e-05 #>  [5950,] 3.208050e-05 2.304940e-05 #>  [5951,] 2.223436e-05 1.232463e-05 #>  [5952,] 1.316049e-05 1.111902e-05 #>  [5953,] 1.441948e-05 1.196732e-05 #>  [5954,] 2.249946e-05 1.498820e-05 #>  [5955,] 1.335145e-05 1.022799e-05 #>  [5956,] 1.844927e-05 1.914856e-05 #>  [5957,] 2.158980e-05 1.425527e-05 #>  [5958,] 1.300269e-05 1.068935e-05 #>  [5959,] 1.570624e-05 1.360439e-05 #>  [5960,] 1.584253e-05 1.264854e-05 #>  [5961,] 2.281670e-05 1.922953e-05 #>  [5962,] 3.353404e-05 1.618800e-05 #>  [5963,] 1.747201e-05 2.772615e-05 #>  [5964,] 1.272560e-04 4.871973e-04 #>  [5965,] 6.976866e-05 6.827634e-05 #>  [5966,] 1.646601e-05 1.493918e-05 #>  [5967,] 2.599627e-05 3.081597e-05 #>  [5968,] 1.151887e-04 3.715853e-05 #>  [5969,] 1.601683e-05 1.559849e-05 #>  [5970,] 8.933827e-05 2.464479e-04 #>  [5971,] 1.887755e-05 1.253249e-05 #>  [5972,] 1.721919e-05 1.390246e-05 #>  [5973,] 2.592119e-05 1.565691e-05 #>  [5974,] 1.479556e-05 1.191653e-05 #>  [5975,] 1.245088e-05 1.000527e-05 #>  [5976,] 2.530884e-05 1.976998e-05 #>  [5977,] 1.153961e-05 1.067898e-05 #>  [5978,] 1.845431e-05 1.089980e-05 #>  [5979,] 1.649727e-05 1.102739e-05 #>  [5980,] 1.362829e-05 1.122298e-05 #>  [5981,] 2.649593e-05 1.247449e-05 #>  [5982,] 5.250896e-05 2.844984e-05 #>  [5983,] 1.541749e-05 1.434242e-05 #>  [5984,] 2.662709e-05 2.257301e-05 #>  [5985,] 3.629892e-05 1.305291e-05 #>  [5986,] 1.099277e-05 1.495573e-05 #>  [5987,] 1.309113e-05 1.148216e-05 #>  [5988,] 1.358558e-05 1.163538e-05 #>  [5989,] 1.353226e-05 1.202933e-05 #>  [5990,] 1.334451e-05 1.114377e-05 #>  [5991,] 1.498084e-05 1.118751e-05 #>  [5992,] 1.475982e-05 1.143309e-05 #>  [5993,] 1.503237e-05 1.212197e-05 #>  [5994,] 1.739643e-05 1.610959e-05 #>  [5995,] 1.631923e-05 1.348357e-05 #>  [5996,] 1.445436e-05 1.202384e-05 #>  [5997,] 1.383568e-05 1.070427e-05 #>  [5998,] 1.763230e-04 1.925803e-04 #>  [5999,] 1.590538e-05 1.414658e-05 #>  [6000,] 2.236348e-05 8.526740e-05 #>  [6001,] 1.644322e-05 1.345875e-05 #>  [6002,] 1.310120e-05 1.205278e-05 #>  [6003,] 1.430513e-05 1.753100e-05 #>  [6004,] 1.635519e-05 1.524644e-05 #>  [6005,] 1.517756e-05 2.288618e-05 #>  [6006,] 1.662513e-04 9.265593e-05 #>  [6007,] 1.512201e-05 1.375491e-05 #>  [6008,] 2.934479e-05 5.254433e-05 #>  [6009,] 2.369382e-05 1.296297e-05 #>  [6010,] 2.073016e-05 3.996685e-05 #>  [6011,] 6.432447e-05 1.305005e-04 #>  [6012,] 1.138579e-04 2.038328e-05 #>  [6013,] 1.314027e-05 1.185007e-05 #>  [6014,] 1.077421e-05 1.041377e-05 #>  [6015,] 2.177244e-04 4.393854e-04 #>  [6016,] 2.196437e-05 1.775097e-05 #>  [6017,] 2.999380e-04 4.414605e-04 #>  [6018,] 3.828327e-05 3.260040e-05 #>  [6019,] 1.587011e-05 1.442635e-05 #>  [6020,] 1.440042e-05 1.373004e-05 #>  [6021,] 1.332641e-05 1.153117e-05 #>  [6022,] 1.536222e-05 1.672247e-05 #>  [6023,] 1.296943e-05 2.607882e-05 #>  [6024,] 1.405404e-05 1.404323e-05 #>  [6025,] 1.364070e-04 2.474751e-05 #>  [6026,] 1.612981e-05 2.135603e-05 #>  [6027,] 1.364594e-04 6.894179e-04 #>  [6028,] 8.915670e-05 8.044049e-05 #>  [6029,] 2.763334e-05 1.362938e-05 #>  [6030,] 1.517919e-05 1.241789e-05 #>  [6031,] 1.579772e-05 1.436008e-05 #>  [6032,] 1.292422e-05 1.258795e-05 #>  [6033,] 3.878024e-05 3.057267e-05 #>  [6034,] 1.448730e-05 1.365251e-05 #>  [6035,] 1.883176e-04 4.345918e-05 #>  [6036,] 1.352321e-05 1.167373e-05 #>  [6037,] 1.429877e-05 1.107117e-05 #>  [6038,] 1.884936e-05 1.705930e-05 #>  [6039,] 1.509036e-05 1.265454e-05 #>  [6040,] 1.263480e-05 1.224792e-05 #>  [6041,] 1.518222e-05 1.493751e-05 #>  [6042,] 3.916569e-05 5.171178e-05 #>  [6043,] 1.040919e-05 9.476247e-06 #>  [6044,] 1.270162e-05 1.124900e-05 #>  [6045,] 1.442257e-05 1.217604e-05 #>  [6046,] 2.401555e-05 1.483044e-05 #>  [6047,] 1.470028e-05 1.454176e-05 #>  [6048,] 1.399749e-05 1.474032e-05 #>  [6049,] 6.983862e-05 1.737671e-05 #>  [6050,] 1.820279e-05 3.462339e-05 #>  [6051,] 9.699530e-05 6.187726e-04 #>  [6052,] 2.810174e-05 1.249653e-04 #>  [6053,] 1.740771e-05 2.926969e-05 #>  [6054,] 1.567926e-05 1.309536e-05 #>  [6055,] 1.437814e-05 1.153959e-05 #>  [6056,] 1.797259e-05 1.366321e-05 #>  [6057,] 1.257225e-05 1.141380e-05 #>  [6058,] 1.798771e-05 1.392973e-05 #>  [6059,] 1.465265e-05 1.139412e-05 #>  [6060,] 1.336466e-05 1.149998e-05 #>  [6061,] 1.415287e-05 1.356713e-05 #>  [6062,] 1.333585e-05 1.168904e-05 #>  [6063,] 1.580823e-05 1.231622e-05 #>  [6064,] 1.042104e-04 6.529931e-05 #>  [6065,] 2.291892e-05 1.696212e-05 #>  [6066,] 1.906275e-05 1.481665e-05 #>  [6067,] 1.380811e-05 1.102804e-05 #>  [6068,] 1.099124e-05 1.044479e-05 #>  [6069,] 1.405444e-05 1.244791e-05 #>  [6070,] 1.868441e-05 1.910980e-05 #>  [6071,] 9.261695e-05 2.523366e-04 #>  [6072,] 1.246854e-05 1.106618e-05 #>  [6073,] 3.274065e-05 2.688016e-05 #>  [6074,] 2.108521e-05 1.711174e-05 #>  [6075,] 1.218217e-05 1.272918e-05 #>  [6076,] 1.444578e-05 1.333619e-05 #>  [6077,] 1.180290e-05 1.223122e-05 #>  [6078,] 1.104458e-05 1.158170e-05 #>  [6079,] 1.184017e-05 9.935772e-06 #>  [6080,] 3.023993e-05 1.360744e-05 #>  [6081,] 2.881312e-05 9.961923e-05 #>  [6082,] 1.511171e-05 1.220436e-05 #>  [6083,] 1.268243e-05 1.325114e-05 #>  [6084,] 2.571208e-04 2.189340e-04 #>  [6085,] 2.916991e-05 1.141945e-05 #>  [6086,] 1.851874e-05 3.114875e-05 #>  [6087,] 1.569002e-04 1.277794e-04 #>  [6088,] 8.023163e-05 4.613913e-05 #>  [6089,] 1.389444e-05 1.203477e-05 #>  [6090,] 4.848445e-05 2.319957e-05 #>  [6091,] 1.823334e-05 1.189673e-05 #>  [6092,] 2.434269e-05 1.522545e-05 #>  [6093,] 4.841392e-05 4.588956e-05 #>  [6094,] 1.552405e-05 1.353153e-05 #>  [6095,] 1.459219e-05 1.964510e-05 #>  [6096,] 1.677031e-05 1.428475e-05 #>  [6097,] 1.336205e-05 1.135234e-05 #>  [6098,] 1.372743e-05 1.116217e-05 #>  [6099,] 4.601254e-04 1.205167e-04 #>  [6100,] 1.530199e-05 4.187375e-05 #>  [6101,] 1.599630e-05 4.366756e-05 #>  [6102,] 1.352305e-05 1.253890e-05 #>  [6103,] 2.054709e-05 1.464691e-05 #>  [6104,] 1.386663e-05 1.293669e-05 #>  [6105,] 1.244206e-05 1.156581e-05 #>  [6106,] 1.464736e-05 1.237953e-05 #>  [6107,] 1.589135e-05 1.356295e-05 #>  [6108,] 2.438092e-04 8.776015e-05 #>  [6109,] 1.182287e-05 1.082884e-05 #>  [6110,] 1.735101e-05 1.826221e-05 #>  [6111,] 4.460231e-05 1.947586e-05 #>  [6112,] 1.108476e-05 9.738964e-06 #>  [6113,] 5.643717e-05 3.358442e-05 #>  [6114,] 1.538769e-05 1.282113e-05 #>  [6115,] 7.149609e-05 6.846607e-05 #>  [6116,] 1.091655e-04 1.500345e-05 #>  [6117,] 3.527497e-05 2.377164e-04 #>  [6118,] 1.347143e-05 1.584584e-05 #>  [6119,] 1.409489e-05 1.192957e-05 #>  [6120,] 1.416895e-05 1.314533e-05 #>  [6121,] 1.293645e-05 1.161220e-05 #>  [6122,] 1.500865e-05 1.359231e-05 #>  [6123,] 2.633965e-05 1.659953e-05 #>  [6124,] 1.747006e-05 1.421913e-05 #>  [6125,] 1.175999e-05 1.225501e-05 #>  [6126,] 9.599826e-05 1.177182e-04 #>  [6127,] 1.577036e-05 1.457001e-05 #>  [6128,] 1.452237e-05 1.103702e-05 #>  [6129,] 1.042087e-05 1.001826e-05 #>  [6130,] 4.868759e-05 9.050427e-05 #>  [6131,] 4.012794e-05 5.843552e-05 #>  [6132,] 1.432742e-05 1.469685e-05 #>  [6133,] 1.569768e-05 3.546959e-05 #>  [6134,] 1.175610e-05 1.032642e-05 #>  [6135,] 2.038801e-05 1.817151e-05 #>  [6136,] 1.163395e-05 1.069486e-05 #>  [6137,] 2.152805e-05 1.345854e-05 #>  [6138,] 1.185610e-05 1.094501e-05 #>  [6139,] 1.329170e-05 1.239267e-05 #>  [6140,] 1.400345e-05 1.161407e-05 #>  [6141,] 1.476908e-05 1.186660e-05 #>  [6142,] 1.225853e-05 1.159659e-05 #>  [6143,] 4.316388e-05 3.025029e-05 #>  [6144,] 5.928455e-05 4.193307e-05 #>  [6145,] 1.236942e-05 1.907777e-05 #>  [6146,] 1.406663e-05 1.402400e-05 #>  [6147,] 4.060890e-05 1.543305e-05 #>  [6148,] 1.418125e-05 1.197580e-05 #>  [6149,] 1.142329e-05 1.010964e-05 #>  [6150,] 1.937892e-05 1.960888e-05 #>  [6151,] 5.747500e-05 1.381429e-05 #>  [6152,] 4.578008e-05 8.305047e-04 #>  [6153,] 3.216593e-05 2.492702e-05 #>  [6154,] 1.824001e-05 1.440720e-05 #>  [6155,] 1.461534e-05 1.184243e-05 #>  [6156,] 1.043198e-05 9.805940e-06 #>  [6157,] 1.540879e-05 1.166234e-05 #>  [6158,] 1.169086e-05 1.179469e-05 #>  [6159,] 1.504003e-05 1.334301e-05 #>  [6160,] 4.410670e-05 6.108413e-05 #>  [6161,] 1.239643e-05 1.163345e-05 #>  [6162,] 1.463093e-05 1.197144e-05 #>  [6163,] 4.566755e-05 3.150516e-05 #>  [6164,] 1.121181e-04 1.310262e-04 #>  [6165,] 1.537863e-05 1.327163e-05 #>  [6166,] 1.424357e-05 1.337760e-05 #>  [6167,] 2.726842e-05 1.959063e-05 #>  [6168,] 4.045994e-05 4.283970e-05 #>  [6169,] 1.362693e-05 1.155109e-05 #>  [6170,] 1.509753e-05 1.517582e-05 #>  [6171,] 1.545593e-05 1.418345e-05 #>  [6172,] 1.096546e-05 1.035755e-05 #>  [6173,] 1.195192e-05 1.205176e-05 #>  [6174,] 1.458092e-05 1.425143e-05 #>  [6175,] 1.468169e-05 1.229156e-05 #>  [6176,] 1.416700e-05 1.339474e-05 #>  [6177,] 8.790475e-05 9.340862e-05 #>  [6178,] 7.520145e-05 6.972377e-05 #>  [6179,] 4.505729e-05 1.380000e-05 #>  [6180,] 2.251445e-05 3.698361e-05 #>  [6181,] 1.019660e-05 1.019429e-05 #>  [6182,] 1.570391e-05 2.232850e-05 #>  [6183,] 2.117160e-05 1.656632e-05 #>  [6184,] 1.498931e-05 2.142914e-05 #>  [6185,] 3.854089e-05 3.473725e-05 #>  [6186,] 1.047085e-05 1.005714e-05 #>  [6187,] 1.533864e-05 1.117221e-05 #>  [6188,] 1.567395e-05 1.529326e-05 #>  [6189,] 1.134522e-05 1.213597e-05 #>  [6190,] 1.949456e-05 2.034139e-05 #>  [6191,] 3.591160e-04 1.440078e-04 #>  [6192,] 1.526164e-05 1.162584e-05 #>  [6193,] 1.768592e-05 1.477713e-05 #>  [6194,] 1.488073e-05 1.464954e-05 #>  [6195,] 1.748573e-05 1.249223e-05 #>  [6196,] 1.176048e-05 1.093499e-05 #>  [6197,] 1.303745e-05 1.115006e-05 #>  [6198,] 1.264030e-05 1.294902e-05 #>  [6199,] 1.869504e-05 1.438330e-04 #>  [6200,] 2.373734e-05 1.688166e-05 #>  [6201,] 4.372220e-05 5.214775e-05 #>  [6202,] 1.677971e-05 1.400859e-05 #>  [6203,] 6.130464e-05 3.979544e-05 #>  [6204,] 1.292893e-05 1.161823e-05 #>  [6205,] 1.521351e-05 1.221380e-05 #>  [6206,] 1.730021e-05 1.505515e-05 #>  [6207,] 2.053738e-05 1.673788e-05 #>  [6208,] 2.041321e-05 1.484519e-05 #>  [6209,] 1.114163e-05 1.130045e-05 #>  [6210,] 1.358055e-05 1.081512e-05 #>  [6211,] 1.428624e-05 1.269577e-05 #>  [6212,] 1.344001e-05 1.225229e-05 #>  [6213,] 1.372704e-05 1.294016e-05 #>  [6214,] 1.377718e-05 1.313543e-05 #>  [6215,] 1.279417e-05 1.081551e-05 #>  [6216,] 1.341222e-05 1.285117e-05 #>  [6217,] 1.342742e-05 1.128653e-05 #>  [6218,] 1.346214e-05 1.095498e-05 #>  [6219,] 1.873682e-04 3.029114e-05 #>  [6220,] 1.282795e-05 1.516997e-05 #>  [6221,] 1.076151e-05 9.749582e-06 #>  [6222,] 1.739731e-05 2.435475e-05 #>  [6223,] 1.522097e-05 2.449722e-05 #>  [6224,] 1.212452e-05 1.121682e-05 #>  [6225,] 1.653825e-05 1.249486e-05 #>  [6226,] 1.337555e-05 1.157588e-05 #>  [6227,] 1.433264e-05 1.185584e-05 #>  [6228,] 3.161917e-05 2.977620e-05 #>  [6229,] 1.139867e-05 1.058888e-05 #>  [6230,] 2.955979e-05 3.790322e-05 #>  [6231,] 4.204938e-05 5.415790e-04 #>  [6232,] 1.306133e-05 1.105433e-05 #>  [6233,] 1.361064e-05 1.107849e-05 #>  [6234,] 1.716318e-05 1.128588e-05 #>  [6235,] 1.212513e-05 1.093962e-05 #>  [6236,] 1.309555e-05 1.177288e-05 #>  [6237,] 1.433211e-05 1.131196e-05 #>  [6238,] 1.484965e-05 6.892562e-05 #>  [6239,] 1.436999e-05 1.148261e-05 #>  [6240,] 1.568552e-05 2.078464e-05 #>  [6241,] 1.486084e-05 1.211810e-05 #>  [6242,] 2.163497e-05 1.568991e-05 #>  [6243,] 1.402818e-05 1.381742e-05 #>  [6244,] 1.443622e-05 1.248405e-05 #>  [6245,] 1.425458e-05 1.286169e-05 #>  [6246,] 6.983134e-05 2.356568e-05 #>  [6247,] 4.207141e-05 3.124736e-05 #>  [6248,] 1.454219e-05 1.236237e-05 #>  [6249,] 1.579803e-05 1.278348e-05 #>  [6250,] 1.580683e-05 1.404572e-05 #>  [6251,] 1.260370e-05 1.957114e-05 #>  [6252,] 3.357426e-05 1.370705e-05 #>  [6253,] 1.215137e-05 1.196741e-05 #>  [6254,] 1.263467e-05 1.193474e-05 #>  [6255,] 1.421115e-05 1.819426e-05 #>  [6256,] 1.491300e-05 1.321732e-05 #>  [6257,] 1.439749e-05 1.293727e-05 #>  [6258,] 3.122361e-05 1.177525e-04 #>  [6259,] 8.544075e-05 2.051307e-04 #>  [6260,] 1.764023e-05 2.167851e-05 #>  [6261,] 1.587992e-05 1.427708e-05 #>  [6262,] 2.052045e-05 1.717189e-05 #>  [6263,] 1.782748e-05 1.914970e-05 #>  [6264,] 1.272626e-05 1.505456e-05 #>  [6265,] 6.363777e-05 3.458332e-05 #>  [6266,] 1.916520e-05 3.682957e-05 #>  [6267,] 1.499715e-05 1.399197e-05 #>  [6268,] 1.402458e-05 1.502008e-05 #>  [6269,] 1.370328e-05 1.575588e-05 #>  [6270,] 1.335568e-04 1.626425e-05 #>  [6271,] 1.406162e-05 1.151707e-05 #>  [6272,] 1.430435e-05 1.278984e-05 #>  [6273,] 2.771970e-05 4.478154e-05 #>  [6274,] 4.196931e-05 1.133211e-04 #>  [6275,] 1.738869e-05 1.524911e-05 #>  [6276,] 1.520993e-05 1.348869e-05 #>  [6277,] 1.598790e-05 1.476208e-05 #>  [6278,] 1.419630e-05 1.744899e-05 #>  [6279,] 1.300960e-05 1.606694e-05 #>  [6280,] 3.727295e-05 4.191097e-05 #>  [6281,] 1.699260e-05 1.303748e-05 #>  [6282,] 1.532028e-05 1.459372e-05 #>  [6283,] 1.981844e-05 2.037021e-04 #>  [6284,] 1.429251e-05 1.986147e-05 #>  [6285,] 1.551015e-05 1.392619e-05 #>  [6286,] 1.790842e-05 3.588396e-05 #>  [6287,] 1.208445e-05 1.090781e-05 #>  [6288,] 1.373723e-05 1.171222e-05 #>  [6289,] 1.559097e-05 1.157733e-05 #>  [6290,] 4.051774e-05 2.392076e-04 #>  [6291,] 1.521636e-05 1.291032e-05 #>  [6292,] 1.525572e-05 1.361588e-05 #>  [6293,] 1.054543e-05 9.149743e-06 #>  [6294,] 1.142083e-05 1.112044e-05 #>  [6295,] 1.422869e-05 1.049222e-05 #>  [6296,] 1.367047e-05 1.235569e-05 #>  [6297,] 1.547517e-04 1.885386e-04 #>  [6298,] 1.053384e-05 1.042405e-05 #>  [6299,] 1.078002e-04 5.723053e-05 #>  [6300,] 1.551164e-05 1.371654e-05 #>  [6301,] 2.967538e-05 1.391830e-05 #>  [6302,] 1.456267e-05 1.072928e-05 #>  [6303,] 1.121967e-05 9.768987e-06 #>  [6304,] 1.273259e-05 1.105629e-05 #>  [6305,] 1.706116e-05 1.567149e-05 #>  [6306,] 1.388937e-05 1.358035e-05 #>  [6307,] 8.528830e-05 8.164522e-05 #>  [6308,] 1.729549e-05 1.463779e-05 #>  [6309,] 3.551017e-05 3.501929e-05 #>  [6310,] 1.242952e-05 1.102853e-05 #>  [6311,] 1.680870e-05 1.357128e-05 #>  [6312,] 1.136798e-05 1.006424e-05 #>  [6313,] 1.385080e-05 1.524450e-05 #>  [6314,] 4.438343e-05 1.328946e-05 #>  [6315,] 1.367252e-05 1.101843e-05 #>  [6316,] 1.493055e-05 1.397179e-05 #>  [6317,] 1.820677e-05 1.923613e-05 #>  [6318,] 1.372093e-05 1.325492e-05 #>  [6319,] 1.724547e-05 1.789404e-05 #>  [6320,] 1.930964e-05 1.373729e-04 #>  [6321,] 1.576941e-05 1.380253e-05 #>  [6322,] 1.104038e-05 9.944198e-06 #>  [6323,] 1.886864e-05 1.290152e-05 #>  [6324,] 2.186284e-05 2.025513e-05 #>  [6325,] 2.264733e-05 1.489297e-05 #>  [6326,] 1.495562e-05 1.211165e-05 #>  [6327,] 1.299798e-05 1.103363e-05 #>  [6328,] 1.557907e-05 1.247419e-05 #>  [6329,] 2.416516e-05 4.962901e-05 #>  [6330,] 1.508007e-05 1.203383e-05 #>  [6331,] 1.916886e-05 1.407718e-05 #>  [6332,] 1.833281e-04 1.832528e-05 #>  [6333,] 1.175382e-05 1.503817e-05 #>  [6334,] 1.131952e-05 1.028695e-05 #>  [6335,] 1.436412e-05 1.166498e-05 #>  [6336,] 1.637174e-05 1.284750e-05 #>  [6337,] 7.389057e-05 4.698342e-05 #>  [6338,] 1.230221e-05 1.004883e-05 #>  [6339,] 1.394440e-05 1.147319e-05 #>  [6340,] 1.361143e-05 1.205790e-05 #>  [6341,] 1.150442e-05 1.027478e-05 #>  [6342,] 1.676173e-05 1.782193e-05 #>  [6343,] 1.867851e-05 2.920142e-05 #>  [6344,] 8.415734e-05 1.485331e-05 #>  [6345,] 1.160299e-05 1.039401e-05 #>  [6346,] 3.141676e-05 1.743187e-05 #>  [6347,] 1.645053e-05 1.301458e-05 #>  [6348,] 1.382611e-05 1.194227e-05 #>  [6349,] 3.833278e-05 2.385410e-05 #>  [6350,] 4.474838e-05 2.311418e-05 #>  [6351,] 1.903983e-05 2.198971e-05 #>  [6352,] 2.685210e-05 1.346569e-05 #>  [6353,] 1.201233e-05 1.089712e-05 #>  [6354,] 1.409558e-05 1.180914e-05 #>  [6355,] 1.450981e-05 1.193478e-05 #>  [6356,] 1.357845e-05 1.292672e-05 #>  [6357,] 6.172038e-05 2.572594e-05 #>  [6358,] 1.438742e-05 1.329545e-05 #>  [6359,] 1.169091e-05 1.021869e-05 #>  [6360,] 5.470374e-05 1.578795e-05 #>  [6361,] 2.091219e-04 2.984691e-05 #>  [6362,] 1.632325e-05 1.200513e-05 #>  [6363,] 2.597530e-05 1.145106e-05 #>  [6364,] 2.135156e-04 2.522105e-05 #>  [6365,] 1.371581e-05 1.048830e-05 #>  [6366,] 1.007223e-04 2.042758e-05 #>  [6367,] 1.365135e-05 1.148158e-05 #>  [6368,] 1.299239e-05 1.097169e-05 #>  [6369,] 2.499961e-05 3.091106e-05 #>  [6370,] 1.585964e-05 1.398017e-05 #>  [6371,] 2.108874e-05 7.310481e-05 #>  [6372,] 1.604601e-05 1.535691e-05 #>  [6373,] 1.254878e-05 1.069881e-05 #>  [6374,] 2.899935e-05 2.846334e-05 #>  [6375,] 1.561470e-05 1.326595e-05 #>  [6376,] 1.328741e-05 1.025316e-05 #>  [6377,] 1.492868e-05 5.757483e-05 #>  [6378,] 1.460578e-05 1.258739e-05 #>  [6379,] 5.795363e-05 1.216102e-04 #>  [6380,] 1.431903e-05 1.268140e-05 #>  [6381,] 1.252074e-05 1.348349e-05 #>  [6382,] 1.548138e-05 1.318127e-05 #>  [6383,] 1.412696e-05 1.304160e-05 #>  [6384,] 1.285000e-05 1.161957e-05 #>  [6385,] 1.738105e-05 1.213274e-05 #>  [6386,] 6.567854e-04 1.014708e-04 #>  [6387,] 1.491089e-05 1.368800e-05 #>  [6388,] 3.140423e-04 2.758114e-04 #>  [6389,] 1.521192e-05 1.375720e-05 #>  [6390,] 3.219513e-05 4.318086e-05 #>  [6391,] 1.277397e-04 8.679829e-05 #>  [6392,] 1.460778e-05 1.390946e-05 #>  [6393,] 1.491365e-05 1.104346e-05 #>  [6394,] 1.781924e-05 1.317661e-05 #>  [6395,] 1.367482e-05 1.099113e-05 #>  [6396,] 1.601069e-05 1.289104e-05 #>  [6397,] 4.466927e-05 1.748800e-05 #>  [6398,] 1.227530e-05 1.106809e-05 #>  [6399,] 2.155482e-05 1.155423e-05 #>  [6400,] 1.646468e-05 3.075741e-05 #>  [6401,] 1.532433e-05 6.834383e-05 #>  [6402,] 3.716057e-05 4.918646e-05 #>  [6403,] 1.151296e-05 1.068485e-05 #>  [6404,] 1.324178e-05 1.083070e-05 #>  [6405,] 2.105869e-05 2.177225e-05 #>  [6406,] 1.836817e-05 2.302702e-05 #>  [6407,] 1.521787e-05 1.163009e-05 #>  [6408,] 1.206900e-05 1.074375e-05 #>  [6409,] 2.772933e-05 2.494137e-05 #>  [6410,] 1.559462e-05 1.412066e-05 #>  [6411,] 6.620867e-05 3.010682e-04 #>  [6412,] 1.184372e-05 1.034739e-05 #>  [6413,] 2.317394e-04 1.161340e-04 #>  [6414,] 1.745672e-05 1.825854e-05 #>  [6415,] 1.578349e-05 1.323930e-05 #>  [6416,] 1.101845e-05 1.024001e-05 #>  [6417,] 1.836848e-05 6.207162e-05 #>  [6418,] 1.402502e-05 1.404212e-05 #>  [6419,] 3.960899e-05 1.921531e-05 #>  [6420,] 4.919509e-05 1.392936e-05 #>  [6421,] 1.076018e-05 1.105919e-05 #>  [6422,] 1.473779e-05 1.375453e-05 #>  [6423,] 1.399488e-05 1.272628e-05 #>  [6424,] 1.782665e-05 1.923094e-05 #>  [6425,] 1.837428e-05 1.450671e-05 #>  [6426,] 3.169532e-05 1.716593e-05 #>  [6427,] 1.235500e-05 1.220905e-05 #>  [6428,] 2.044077e-05 1.431612e-05 #>  [6429,] 1.647114e-05 1.643261e-05 #>  [6430,] 9.501651e-04 5.864394e-04 #>  [6431,] 1.107143e-05 1.151512e-05 #>  [6432,] 1.170510e-05 1.360456e-05 #>  [6433,] 1.330651e-05 1.118761e-05 #>  [6434,] 1.406914e-05 1.090275e-05 #>  [6435,] 1.708508e-05 1.678911e-05 #>  [6436,] 1.698264e-04 1.700993e-04 #>  [6437,] 1.995213e-05 1.732849e-05 #>  [6438,] 7.407669e-05 5.471779e-05 #>  [6439,] 1.287234e-05 1.004568e-05 #>  [6440,] 1.356941e-05 1.064432e-05 #>  [6441,] 1.782259e-05 1.306327e-05 #>  [6442,] 1.598977e-05 1.220150e-05 #>  [6443,] 1.943368e-04 4.786743e-04 #>  [6444,] 1.347133e-05 1.140513e-05 #>  [6445,] 5.700910e-05 5.541246e-04 #>  [6446,] 2.779288e-05 1.296485e-05 #>  [6447,] 1.190085e-05 1.330758e-05 #>  [6448,] 1.415052e-05 1.181941e-05 #>  [6449,] 6.946418e-05 2.708205e-05 #>  [6450,] 1.590396e-05 1.074004e-05 #>  [6451,] 1.254043e-05 1.077396e-05 #>  [6452,] 1.447776e-05 1.152581e-05 #>  [6453,] 2.036162e-05 3.479344e-05 #>  [6454,] 2.595850e-05 4.114735e-05 #>  [6455,] 8.432449e-04 7.298595e-05 #>  [6456,] 1.348510e-05 1.421837e-05 #>  [6457,] 1.421000e-05 1.238562e-05 #>  [6458,] 1.167449e-05 1.110499e-05 #>  [6459,] 1.241181e-05 1.054630e-05 #>  [6460,] 1.312132e-05 1.112071e-05 #>  [6461,] 4.158220e-05 6.301706e-05 #>  [6462,] 2.044608e-05 1.749067e-05 #>  [6463,] 3.289931e-05 3.921964e-05 #>  [6464,] 1.193442e-05 1.077318e-05 #>  [6465,] 2.110607e-05 3.183496e-05 #>  [6466,] 6.148920e-05 1.406767e-05 #>  [6467,] 1.519449e-05 1.355750e-05 #>  [6468,] 6.673440e-05 1.719232e-05 #>  [6469,] 3.521713e-05 2.015761e-04 #>  [6470,] 8.913362e-05 6.568779e-05 #>  [6471,] 1.336679e-05 1.356668e-05 #>  [6472,] 1.103116e-05 1.137160e-05 #>  [6473,] 2.528638e-05 2.485114e-05 #>  [6474,] 1.498406e-04 2.004067e-04 #>  [6475,] 1.403882e-05 1.310160e-05 #>  [6476,] 4.110329e-05 8.128702e-05 #>  [6477,] 1.310413e-05 1.175008e-05 #>  [6478,] 1.573779e-05 1.256947e-05 #>  [6479,] 1.390432e-05 1.357564e-05 #>  [6480,] 1.189668e-05 1.200725e-05 #>  [6481,] 2.064012e-05 1.446340e-05 #>  [6482,] 1.065769e-04 5.748818e-05 #>  [6483,] 2.039019e-05 1.797491e-05 #>  [6484,] 1.843490e-05 4.035584e-05 #>  [6485,] 1.791004e-05 1.115716e-05 #>  [6486,] 1.473651e-05 1.314021e-05 #>  [6487,] 8.029587e-05 2.169010e-05 #>  [6488,] 1.249499e-05 1.109707e-05 #>  [6489,] 1.933471e-05 1.518449e-05 #>  [6490,] 2.071460e-05 1.814635e-05 #>  [6491,] 1.262964e-05 1.115698e-05 #>  [6492,] 2.924770e-05 2.056160e-05 #>  [6493,] 5.426005e-05 3.858311e-05 #>  [6494,] 3.335731e-05 1.125597e-04 #>  [6495,] 1.474181e-04 6.845415e-05 #>  [6496,] 1.418105e-05 1.700381e-05 #>  [6497,] 1.666169e-05 1.399378e-05 #>  [6498,] 1.421638e-05 1.190326e-05 #>  [6499,] 4.241761e-04 5.085044e-05 #>  [6500,] 1.206349e-05 1.089208e-05 #>  [6501,] 1.244033e-05 1.114215e-05 #>  [6502,] 1.460166e-05 1.346546e-05 #>  [6503,] 3.252220e-05 2.122933e-05 #>  [6504,] 1.265810e-05 1.080776e-05 #>  [6505,] 1.392803e-05 1.380850e-05 #>  [6506,] 1.191098e-04 1.888395e-05 #>  [6507,] 1.345392e-05 1.221367e-05 #>  [6508,] 4.319741e-05 7.781671e-05 #>  [6509,] 1.292298e-05 1.173866e-05 #>  [6510,] 3.448167e-05 2.113848e-05 #>  [6511,] 2.216084e-04 2.641178e-05 #>  [6512,] 1.422146e-05 2.176251e-05 #>  [6513,] 7.543451e-05 8.713016e-05 #>  [6514,] 6.578009e-05 2.130722e-05 #>  [6515,] 1.549384e-05 1.576107e-05 #>  [6516,] 6.308224e-05 5.103393e-05 #>  [6517,] 2.015797e-05 7.253820e-05 #>  [6518,] 1.352599e-05 1.245303e-05 #>  [6519,] 1.314744e-05 1.098908e-05 #>  [6520,] 1.537502e-04 2.513098e-05 #>  [6521,] 1.494174e-05 1.306989e-05 #>  [6522,] 1.469112e-05 1.448643e-05 #>  [6523,] 3.248700e-05 1.313885e-05 #>  [6524,] 1.279878e-05 1.118187e-05 #>  [6525,] 1.665974e-05 2.019725e-05 #>  [6526,] 1.512480e-05 1.390924e-05 #>  [6527,] 1.519094e-05 1.159046e-05 #>  [6528,] 1.225366e-05 1.119722e-05 #>  [6529,] 1.461237e-05 1.226724e-05 #>  [6530,] 1.091922e-05 1.011898e-05 #>  [6531,] 1.255760e-05 1.245326e-05 #>  [6532,] 1.549640e-05 1.380050e-05 #>  [6533,] 2.651273e-05 2.671929e-05 #>  [6534,] 1.816187e-05 1.130883e-05 #>  [6535,] 1.247704e-05 1.230556e-05 #>  [6536,] 1.564683e-05 1.300549e-05 #>  [6537,] 1.737160e-05 1.513525e-05 #>  [6538,] 1.383592e-05 1.199230e-05 #>  [6539,] 1.486923e-05 1.280222e-05 #>  [6540,] 1.573335e-05 2.694163e-05 #>  [6541,] 3.826011e-05 3.227113e-05 #>  [6542,] 1.887154e-05 1.503319e-05 #>  [6543,] 1.136059e-05 1.044080e-05 #>  [6544,] 1.213486e-05 1.191621e-05 #>  [6545,] 1.250491e-05 1.101471e-05 #>  [6546,] 5.966660e-05 2.581970e-05 #>  [6547,] 1.448138e-05 1.235218e-05 #>  [6548,] 1.248627e-05 1.207183e-05 #>  [6549,] 1.351578e-05 1.222218e-05 #>  [6550,] 4.526536e-05 4.168401e-05 #>  [6551,] 2.431432e-05 4.071223e-05 #>  [6552,] 1.667322e-05 1.950205e-05 #>  [6553,] 1.775639e-05 1.338794e-05 #>  [6554,] 1.207874e-05 2.602970e-05 #>  [6555,] 2.808782e-05 6.810150e-05 #>  [6556,] 1.005956e-05 9.448180e-06 #>  [6557,] 1.344704e-05 1.163924e-05 #>  [6558,] 1.433850e-05 1.436684e-05 #>  [6559,] 1.601794e-05 1.380204e-05 #>  [6560,] 1.233130e-05 1.438044e-05 #>  [6561,] 1.409514e-05 1.343788e-05 #>  [6562,] 3.504990e-05 1.440294e-05 #>  [6563,] 2.144551e-05 2.560953e-05 #>  [6564,] 4.842937e-05 3.325595e-05 #>  [6565,] 2.085567e-05 3.392423e-05 #>  [6566,] 1.379115e-05 1.197458e-05 #>  [6567,] 1.394492e-05 1.144765e-05 #>  [6568,] 1.528090e-05 1.372726e-05 #>  [6569,] 4.305186e-05 3.629921e-05 #>  [6570,] 1.161791e-05 1.080241e-05 #>  [6571,] 1.440454e-05 1.243379e-05 #>  [6572,] 2.760411e-05 1.831368e-05 #>  [6573,] 1.177757e-05 1.099946e-05 #>  [6574,] 1.142671e-05 1.021865e-05 #>  [6575,] 1.059745e-04 5.220377e-05 #>  [6576,] 1.977191e-05 1.566338e-05 #>  [6577,] 1.554943e-05 1.952192e-05 #>  [6578,] 1.970157e-05 1.461593e-05 #>  [6579,] 1.462990e-05 1.252708e-05 #>  [6580,] 1.377568e-05 1.126867e-05 #>  [6581,] 2.000547e-05 1.827053e-05 #>  [6582,] 1.109232e-05 1.057534e-05 #>  [6583,] 1.102091e-05 1.167286e-05 #>  [6584,] 2.337730e-05 2.239657e-05 #>  [6585,] 1.589725e-05 1.717911e-05 #>  [6586,] 1.596913e-05 1.226351e-05 #>  [6587,] 1.403369e-05 1.016370e-05 #>  [6588,] 2.600566e-05 1.509704e-05 #>  [6589,] 1.993122e-05 1.542569e-05 #>  [6590,] 3.623169e-05 4.143804e-05 #>  [6591,] 5.517012e-05 1.500059e-05 #>  [6592,] 2.492131e-05 1.347048e-05 #>  [6593,] 1.309451e-05 1.228078e-05 #>  [6594,] 2.096144e-05 1.065214e-05 #>  [6595,] 2.960693e-05 2.430824e-05 #>  [6596,] 1.489407e-05 1.630209e-05 #>  [6597,] 1.045605e-04 8.903265e-05 #>  [6598,] 3.606098e-05 1.526738e-05 #>  [6599,] 4.845007e-05 2.734018e-05 #>  [6600,] 1.451134e-05 1.375407e-05 #>  [6601,] 1.666795e-05 1.279079e-05 #>  [6602,] 1.488437e-05 1.355191e-05 #>  [6603,] 8.206035e-05 6.697228e-05 #>  [6604,] 5.950189e-05 2.788807e-05 #>  [6605,] 1.655702e-05 1.657507e-05 #>  [6606,] 5.098519e-05 2.344274e-05 #>  [6607,] 1.398072e-05 1.468591e-05 #>  [6608,] 6.920163e-05 4.556751e-05 #>  [6609,] 4.157148e-05 7.864651e-05 #>  [6610,] 1.527901e-05 1.513446e-05 #>  [6611,] 1.403682e-05 1.149841e-05 #>  [6612,] 1.433680e-05 1.423634e-05 #>  [6613,] 3.269730e-05 3.338421e-05 #>  [6614,] 1.631986e-05 2.583305e-05 #>  [6615,] 1.337706e-05 1.210679e-05 #>  [6616,] 4.680597e-05 2.700580e-05 #>  [6617,] 8.480276e-05 2.994481e-05 #>  [6618,] 1.926530e-04 2.248657e-05 #>  [6619,] 1.282511e-05 1.245813e-05 #>  [6620,] 2.847742e-05 1.091502e-04 #>  [6621,] 2.142409e-05 1.199903e-05 #>  [6622,] 1.874448e-05 1.738506e-05 #>  [6623,] 4.350389e-05 4.699744e-05 #>  [6624,] 1.207138e-05 1.042593e-05 #>  [6625,] 1.400025e-05 1.273417e-05 #>  [6626,] 6.012359e-05 4.196553e-04 #>  [6627,] 1.077379e-05 1.281277e-05 #>  [6628,] 1.143425e-05 1.116867e-05 #>  [6629,] 1.085363e-05 1.057650e-05 #>  [6630,] 1.491371e-05 1.287193e-05 #>  [6631,] 1.365480e-05 1.272763e-05 #>  [6632,] 1.380100e-05 1.242469e-05 #>  [6633,] 1.102952e-05 9.572297e-06 #>  [6634,] 1.164740e-04 2.919568e-05 #>  [6635,] 1.306468e-05 1.198341e-05 #>  [6636,] 2.728272e-05 1.961338e-05 #>  [6637,] 1.642046e-05 1.293688e-05 #>  [6638,] 3.548261e-05 1.693290e-05 #>  [6639,] 2.919329e-05 7.772363e-05 #>  [6640,] 1.158127e-05 1.094443e-05 #>  [6641,] 1.486394e-05 1.788533e-05 #>  [6642,] 1.360359e-05 1.086131e-05 #>  [6643,] 1.434689e-05 1.259873e-05 #>  [6644,] 1.621097e-05 1.020141e-05 #>  [6645,] 1.649716e-05 2.296358e-05 #>  [6646,] 4.382906e-05 1.947635e-05 #>  [6647,] 1.399133e-05 1.292413e-05 #>  [6648,] 7.229566e-05 2.660480e-05 #>  [6649,] 2.285164e-05 1.464497e-05 #>  [6650,] 2.248241e-05 2.864929e-05 #>  [6651,] 1.365427e-05 1.158813e-05 #>  [6652,] 1.516819e-05 1.237518e-05 #>  [6653,] 1.359621e-05 1.525500e-05 #>  [6654,] 2.353202e-05 1.355751e-05 #>  [6655,] 1.320740e-05 2.615687e-05 #>  [6656,] 1.550382e-05 1.131533e-05 #>  [6657,] 1.271288e-05 1.147593e-05 #>  [6658,] 1.255321e-05 1.464651e-05 #>  [6659,] 1.395516e-05 1.091996e-05 #>  [6660,] 1.484366e-05 1.390464e-05 #>  [6661,] 2.302477e-05 1.350511e-05 #>  [6662,] 4.552877e-05 7.636405e-05 #>  [6663,] 4.509431e-05 2.554967e-05 #>  [6664,] 1.460707e-05 1.446535e-05 #>  [6665,] 1.422652e-05 1.162490e-05 #>  [6666,] 5.348499e-05 8.310632e-05 #>  [6667,] 1.439133e-05 1.455335e-05 #>  [6668,] 1.033017e-05 9.294393e-06 #>  [6669,] 1.287997e-05 1.054287e-05 #>  [6670,] 5.656772e-04 8.596945e-05 #>  [6671,] 2.072446e-05 2.134642e-05 #>  [6672,] 1.182639e-05 1.142668e-05 #>  [6673,] 1.674295e-05 2.499425e-05 #>  [6674,] 1.505826e-05 1.300655e-05 #>  [6675,] 1.685463e-05 1.678538e-05 #>  [6676,] 2.805831e-05 1.332047e-05 #>  [6677,] 2.367636e-05 1.251118e-05 #>  [6678,] 1.509770e-05 9.457796e-06 #>  [6679,] 1.112506e-05 1.023688e-05 #>  [6680,] 1.478625e-05 1.251311e-05 #>  [6681,] 1.099865e-05 1.030131e-05 #>  [6682,] 9.589526e-05 1.841345e-05 #>  [6683,] 1.584311e-05 1.139392e-05 #>  [6684,] 1.503113e-05 1.304500e-05 #>  [6685,] 1.799444e-05 1.388491e-05 #>  [6686,] 1.611863e-05 1.520643e-05 #>  [6687,] 2.937822e-05 2.749877e-05 #>  [6688,] 1.166292e-05 1.067457e-05 #>  [6689,] 1.581709e-05 1.713584e-05 #>  [6690,] 6.054111e-05 1.407415e-05 #>  [6691,] 2.136183e-05 1.353772e-05 #>  [6692,] 1.172104e-05 1.081858e-05 #>  [6693,] 1.500669e-05 1.257246e-05 #>  [6694,] 3.366052e-05 2.055957e-05 #>  [6695,] 2.334223e-05 2.374711e-05 #>  [6696,] 2.064606e-05 1.882818e-05 #>  [6697,] 1.087666e-05 1.017024e-05 #>  [6698,] 1.201819e-05 9.974209e-06 #>  [6699,] 3.156279e-05 2.042491e-05 #>  [6700,] 2.089698e-05 4.075155e-05 #>  [6701,] 2.516208e-05 1.203337e-05 #>  [6702,] 2.327712e-05 4.260496e-05 #>  [6703,] 1.305328e-05 1.068240e-05 #>  [6704,] 1.401917e-05 1.101185e-05 #>  [6705,] 1.488462e-05 1.351735e-05 #>  [6706,] 1.705199e-05 1.631023e-05 #>  [6707,] 1.389470e-05 1.244189e-05 #>  [6708,] 6.144157e-05 1.327239e-05 #>  [6709,] 3.628139e-05 1.247444e-05 #>  [6710,] 1.518801e-05 1.266444e-05 #>  [6711,] 1.593285e-05 1.427790e-05 #>  [6712,] 1.256905e-05 9.751281e-06 #>  [6713,] 2.285124e-05 1.229121e-05 #>  [6714,] 1.102487e-05 1.065091e-05 #>  [6715,] 1.363954e-05 1.160741e-05 #>  [6716,] 1.371540e-05 1.085385e-05 #>  [6717,] 1.397791e-05 1.116018e-05 #>  [6718,] 1.696480e-05 1.848373e-05 #>  [6719,] 1.626497e-05 1.361344e-05 #>  [6720,] 5.778550e-05 2.037624e-05 #>  [6721,] 1.665514e-05 1.337320e-05 #>  [6722,] 4.026932e-05 2.863430e-05 #>  [6723,] 2.662528e-05 1.319155e-05 #>  [6724,] 1.345442e-05 1.290219e-05 #>  [6725,] 1.403917e-05 1.244254e-05 #>  [6726,] 1.700352e-05 1.292669e-05 #>  [6727,] 1.463599e-05 1.246382e-05 #>  [6728,] 1.566564e-05 1.366040e-05 #>  [6729,] 8.973046e-05 2.142454e-05 #>  [6730,] 5.583317e-05 1.559343e-05 #>  [6731,] 1.544274e-05 1.366933e-05 #>  [6732,] 1.810564e-05 1.192477e-05 #>  [6733,] 1.189276e-05 1.100431e-05 #>  [6734,] 1.602168e-05 1.294552e-05 #>  [6735,] 1.744343e-05 2.046514e-05 #>  [6736,] 1.622621e-05 1.427414e-05 #>  [6737,] 1.569457e-05 1.375234e-05 #>  [6738,] 3.044468e-05 1.741691e-05 #>  [6739,] 1.722304e-05 1.515026e-05 #>  [6740,] 1.333867e-05 1.185070e-05 #>  [6741,] 1.373094e-05 1.248260e-05 #>  [6742,] 3.530071e-05 2.899865e-05 #>  [6743,] 1.338629e-05 1.128803e-05 #>  [6744,] 1.002153e-04 1.262298e-05 #>  [6745,] 1.325401e-05 1.212157e-05 #>  [6746,] 1.625159e-05 1.554241e-05 #>  [6747,] 9.698009e-04 9.283020e-04 #>  [6748,] 3.063086e-04 2.125843e-05 #>  [6749,] 1.090984e-05 9.695443e-06 #>  [6750,] 1.889892e-04 3.208862e-05 #>  [6751,] 1.140356e-05 1.127260e-05 #>  [6752,] 1.313353e-05 1.095942e-05 #>  [6753,] 1.384426e-05 1.038868e-05 #>  [6754,] 1.304706e-05 1.053455e-05 #>  [6755,] 1.476368e-05 1.292706e-05 #>  [6756,] 1.637779e-05 1.196571e-05 #>  [6757,] 3.228733e-05 3.057062e-05 #>  [6758,] 2.413415e-05 2.902755e-05 #>  [6759,] 1.245979e-05 1.080138e-05 #>  [6760,] 7.303001e-05 7.416641e-04 #>  [6761,] 2.357904e-05 1.596595e-04 #>  [6762,] 3.826967e-04 8.323878e-04 #>  [6763,] 1.403521e-05 1.196999e-05 #>  [6764,] 1.203078e-05 1.084083e-05 #>  [6765,] 1.366257e-05 1.197478e-05 #>  [6766,] 1.600981e-05 1.205678e-05 #>  [6767,] 1.590241e-05 1.704872e-05 #>  [6768,] 1.831337e-05 1.435207e-05 #>  [6769,] 1.778014e-05 3.277408e-05 #>  [6770,] 1.307620e-05 1.045064e-05 #>  [6771,] 1.532733e-05 1.399929e-05 #>  [6772,] 2.133289e-05 2.474420e-05 #>  [6773,] 1.636003e-04 9.321990e-04 #>  [6774,] 1.199057e-03 9.579352e-05 #>  [6775,] 1.582961e-05 1.427053e-05 #>  [6776,] 1.350820e-05 1.705332e-05 #>  [6777,] 1.401891e-05 1.700587e-05 #>  [6778,] 2.017385e-05 2.451453e-05 #>  [6779,] 1.313598e-05 1.032191e-05 #>  [6780,] 4.381381e-05 1.457058e-05 #>  [6781,] 1.539709e-05 1.030567e-05 #>  [6782,] 1.506240e-05 1.252063e-05 #>  [6783,] 1.409002e-05 1.133871e-05 #>  [6784,] 2.178087e-05 2.585279e-05 #>  [6785,] 1.196019e-05 1.200173e-05 #>  [6786,] 1.334384e-05 1.326371e-05 #>  [6787,] 1.347563e-05 1.174804e-05 #>  [6788,] 1.455587e-05 1.224660e-05 #>  [6789,] 1.546507e-05 1.442453e-05 #>  [6790,] 1.008532e-05 9.654437e-06 #>  [6791,] 1.197561e-04 1.736534e-04 #>  [6792,] 5.150319e-05 1.716824e-05 #>  [6793,] 1.739266e-05 1.477751e-05 #>  [6794,] 5.276524e-05 4.900254e-05 #>  [6795,] 2.950122e-05 1.468957e-05 #>  [6796,] 1.393634e-05 1.213956e-05 #>  [6797,] 1.970760e-05 2.135865e-05 #>  [6798,] 1.459289e-05 1.435927e-05 #>  [6799,] 3.333189e-05 1.553784e-05 #>  [6800,] 1.227464e-05 1.123669e-05 #>  [6801,] 1.853854e-05 1.448448e-05 #>  [6802,] 8.325746e-05 3.677356e-05 #>  [6803,] 1.493131e-05 6.384081e-05 #>  [6804,] 1.915787e-05 1.509828e-05 #>  [6805,] 2.524819e-05 3.182509e-05 #>  [6806,] 1.495027e-05 1.234108e-05 #>  [6807,] 1.393239e-05 1.220165e-05 #>  [6808,] 1.479686e-05 1.336412e-05 #>  [6809,] 7.683490e-05 5.360166e-05 #>  [6810,] 2.270613e-04 2.233550e-04 #>  [6811,] 4.544255e-05 3.370424e-05 #>  [6812,] 1.848520e-05 1.663869e-05 #>  [6813,] 1.373420e-05 1.173023e-05 #>  [6814,] 1.077241e-05 1.064368e-05 #>  [6815,] 1.267323e-05 1.078855e-05 #>  [6816,] 1.358853e-05 1.163003e-05 #>  [6817,] 1.488237e-04 3.093541e-04 #>  [6818,] 5.044495e-05 1.131884e-04 #>  [6819,] 1.362550e-05 1.294117e-05 #>  [6820,] 2.449170e-05 3.279201e-05 #>  [6821,] 1.038153e-03 6.340052e-04 #>  [6822,] 2.037636e-05 2.346305e-05 #>  [6823,] 1.538045e-05 1.402349e-05 #>  [6824,] 8.705981e-05 4.205981e-05 #>  [6825,] 1.474790e-05 1.254039e-05 #>  [6826,] 1.786117e-05 4.502213e-05 #>  [6827,] 4.791089e-05 1.947265e-05 #>  [6828,] 1.415400e-05 1.124165e-05 #>  [6829,] 1.397128e-05 1.369473e-05 #>  [6830,] 1.211683e-05 1.180876e-05 #>  [6831,] 2.035828e-04 3.716747e-05 #>  [6832,] 1.718014e-05 2.323866e-05 #>  [6833,] 1.515714e-05 1.764716e-05 #>  [6834,] 6.609896e-05 4.526530e-05 #>  [6835,] 1.290532e-05 1.305747e-05 #>  [6836,] 1.285233e-05 1.069955e-05 #>  [6837,] 9.687839e-06 9.397839e-06 #>  [6838,] 1.446773e-05 1.341098e-05 #>  [6839,] 1.475443e-05 3.020621e-05 #>  [6840,] 1.285089e-05 9.850130e-06 #>  [6841,] 2.292827e-05 2.544371e-05 #>  [6842,] 1.369039e-05 1.234188e-05 #>  [6843,] 1.446198e-05 1.464222e-05 #>  [6844,] 1.524315e-05 1.543965e-05 #>  [6845,] 3.719987e-05 6.770230e-05 #>  [6846,] 2.955917e-05 1.389770e-05 #>  [6847,] 1.756243e-05 1.433122e-05 #>  [6848,] 1.219981e-05 1.024158e-05 #>  [6849,] 1.456339e-05 1.203498e-05 #>  [6850,] 1.520741e-05 1.429047e-05 #>  [6851,] 2.406765e-05 2.309876e-05 #>  [6852,] 1.805964e-05 1.537080e-05 #>  [6853,] 1.276791e-05 1.208575e-05 #>  [6854,] 1.692577e-05 1.727955e-05 #>  [6855,] 1.169677e-05 1.078904e-05 #>  [6856,] 1.364639e-05 1.218521e-05 #>  [6857,] 1.292793e-05 1.154622e-05 #>  [6858,] 1.249068e-05 1.129040e-05 #>  [6859,] 2.047978e-05 1.573672e-05 #>  [6860,] 1.631995e-05 1.349859e-05 #>  [6861,] 1.196749e-05 1.457044e-05 #>  [6862,] 1.405227e-05 1.167229e-05 #>  [6863,] 1.608610e-05 1.605209e-05 #>  [6864,] 1.174768e-05 1.126996e-05 #>  [6865,] 1.253710e-05 1.129802e-05 #>  [6866,] 1.432071e-05 1.265906e-05 #>  [6867,] 1.482846e-05 1.394381e-05 #>  [6868,] 1.407344e-05 1.836115e-05 #>  [6869,] 1.602494e-05 1.343306e-05 #>  [6870,] 1.532723e-05 1.386658e-05 #>  [6871,] 1.529000e-05 1.535465e-05 #>  [6872,] 1.222887e-05 1.277524e-05 #>  [6873,] 1.313096e-05 2.372342e-05 #>  [6874,] 1.285232e-05 1.102965e-05 #>  [6875,] 1.398305e-05 3.837035e-05 #>  [6876,] 1.462677e-05 1.186081e-05 #>  [6877,] 1.449432e-05 1.601944e-05 #>  [6878,] 1.139972e-05 1.076805e-05 #>  [6879,] 1.428714e-05 1.141697e-05 #>  [6880,] 1.307523e-05 1.169460e-05 #>  [6881,] 1.388278e-05 1.902503e-05 #>  [6882,] 1.676479e-05 2.057289e-05 #>  [6883,] 2.800076e-05 3.036623e-05 #>  [6884,] 1.647258e-05 2.355187e-05 #>  [6885,] 1.188398e-05 1.559008e-05 #>  [6886,] 1.183738e-05 1.054991e-05 #>  [6887,] 1.930564e-04 2.074893e-05 #>  [6888,] 2.852438e-05 3.931837e-05 #>  [6889,] 1.461641e-05 1.271375e-05 #>  [6890,] 2.346866e-05 1.570923e-05 #>  [6891,] 1.176978e-05 1.085495e-05 #>  [6892,] 2.614343e-05 2.250041e-05 #>  [6893,] 1.872139e-05 1.599772e-05 #>  [6894,] 1.675635e-05 2.426331e-05 #>  [6895,] 1.400563e-05 1.294775e-05 #>  [6896,] 1.210656e-05 1.125192e-05 #>  [6897,] 1.236446e-05 1.161650e-05 #>  [6898,] 6.994853e-05 7.457906e-05 #>  [6899,] 1.413105e-05 1.234482e-05 #>  [6900,] 2.709295e-05 4.279718e-05 #>  [6901,] 3.425293e-05 1.344220e-05 #>  [6902,] 6.123038e-05 1.417941e-05 #>  [6903,] 1.460233e-05 1.315974e-05 #>  [6904,] 1.323795e-05 1.021573e-05 #>  [6905,] 1.159812e-05 1.056395e-05 #>  [6906,] 1.348299e-05 1.154902e-05 #>  [6907,] 2.036447e-05 2.414132e-05 #>  [6908,] 1.258228e-05 1.173470e-05 #>  [6909,] 1.056713e-05 1.030701e-05 #>  [6910,] 1.166891e-05 1.042512e-05 #>  [6911,] 2.715743e-05 4.861843e-05 #>  [6912,] 1.748188e-05 1.417333e-05 #>  [6913,] 2.241479e-04 2.882592e-04 #>  [6914,] 2.829855e-05 4.947836e-05 #>  [6915,] 3.020183e-05 3.437374e-05 #>  [6916,] 2.286247e-05 1.980159e-05 #>  [6917,] 2.214845e-05 2.545927e-05 #>  [6918,] 1.305179e-05 1.522208e-05 #>  [6919,] 1.543945e-05 1.170789e-05 #>  [6920,] 1.652295e-04 4.531855e-05 #>  [6921,] 2.169524e-05 1.528951e-05 #>  [6922,] 1.161639e-05 2.576991e-05 #>  [6923,] 1.421811e-05 1.190289e-05 #>  [6924,] 3.630858e-05 3.704496e-05 #>  [6925,] 1.388716e-05 1.208440e-05 #>  [6926,] 2.655143e-05 1.524667e-05 #>  [6927,] 1.126676e-05 9.958749e-06 #>  [6928,] 1.298745e-05 1.168133e-05 #>  [6929,] 1.745427e-05 1.984542e-05 #>  [6930,] 1.081886e-05 1.066260e-05 #>  [6931,] 1.371937e-05 1.164041e-05 #>  [6932,] 1.958339e-05 1.271747e-05 #>  [6933,] 1.892457e-04 2.295527e-05 #>  [6934,] 1.884997e-05 1.948800e-05 #>  [6935,] 2.183678e-05 2.353865e-05 #>  [6936,] 1.202260e-05 1.084306e-05 #>  [6937,] 1.032696e-03 1.021177e-03 #>  [6938,] 5.572644e-05 5.118235e-05 #>  [6939,] 1.264904e-05 1.466145e-05 #>  [6940,] 4.357922e-05 2.770858e-05 #>  [6941,] 6.056851e-04 4.748018e-05 #>  [6942,] 1.304031e-05 1.151339e-05 #>  [6943,] 1.549591e-05 1.241000e-05 #>  [6944,] 2.089324e-05 1.408149e-05 #>  [6945,] 1.238919e-05 1.478770e-05 #>  [6946,] 8.722692e-05 3.079499e-05 #>  [6947,] 6.004785e-05 4.410392e-05 #>  [6948,] 1.597512e-05 1.389164e-05 #>  [6949,] 9.896318e-06 9.693544e-06 #>  [6950,] 1.619271e-05 1.104117e-05 #>  [6951,] 1.396638e-05 1.095819e-05 #>  [6952,] 1.756783e-05 1.371178e-05 #>  [6953,] 3.356550e-05 2.976733e-05 #>  [6954,] 9.320951e-04 1.039461e-03 #>  [6955,] 1.157787e-04 9.294834e-05 #>  [6956,] 1.048419e-05 9.892940e-06 #>  [6957,] 1.354975e-04 2.826268e-05 #>  [6958,] 6.589855e-05 2.639957e-05 #>  [6959,] 2.892009e-04 4.005853e-04 #>  [6960,] 1.089743e-05 1.113681e-05 #>  [6961,] 1.242024e-05 1.035586e-05 #>  [6962,] 1.754412e-05 1.183738e-05 #>  [6963,] 3.619952e-05 2.306623e-05 #>  [6964,] 1.840296e-05 1.336992e-05 #>  [6965,] 1.324774e-05 1.151829e-05 #>  [6966,] 2.295459e-05 2.120691e-05 #>  [6967,] 1.136726e-05 1.352285e-05 #>  [6968,] 1.112151e-05 1.055754e-05 #>  [6969,] 1.435752e-05 1.188920e-05 #>  [6970,] 1.083939e-05 1.047637e-05 #>  [6971,] 1.443878e-05 1.056079e-05 #>  [6972,] 1.133650e-04 8.780800e-05 #>  [6973,] 1.502395e-05 1.096895e-05 #>  [6974,] 1.865918e-05 1.712293e-05 #>  [6975,] 1.438680e-05 1.286286e-05 #>  [6976,] 1.450528e-05 1.212719e-05 #>  [6977,] 1.448693e-05 1.290805e-05 #>  [6978,] 6.521727e-04 8.468921e-05 #>  [6979,] 1.496220e-05 1.274398e-05 #>  [6980,] 1.551780e-05 2.118406e-05 #>  [6981,] 2.704361e-05 1.981585e-05 #>  [6982,] 1.687889e-05 7.483567e-05 #>  [6983,] 1.295798e-05 2.086984e-05 #>  [6984,] 1.464882e-05 3.455493e-05 #>  [6985,] 1.671537e-05 1.662745e-05 #>  [6986,] 2.235978e-05 2.285252e-05 #>  [6987,] 1.377962e-05 1.288038e-05 #>  [6988,] 8.273023e-05 5.908677e-05 #>  [6989,] 1.165843e-04 4.110960e-05 #>  [6990,] 1.609164e-05 1.190573e-05 #>  [6991,] 1.562200e-05 1.331774e-05 #>  [6992,] 1.651263e-05 1.394601e-05 #>  [6993,] 1.075930e-05 1.072740e-05 #>  [6994,] 1.408540e-05 1.424860e-05 #>  [6995,] 1.516142e-05 1.481994e-05 #>  [6996,] 1.692888e-05 1.516138e-05 #>  [6997,] 1.775555e-05 1.789725e-05 #>  [6998,] 1.208294e-05 1.052115e-05 #>  [6999,] 1.838992e-04 8.327071e-04 #>  [7000,] 1.128015e-05 1.052583e-05 #>  [7001,] 1.480469e-05 1.186450e-05 #>  [7002,] 2.065455e-05 1.475941e-05 #>  [7003,] 1.004472e-04 1.493581e-04 #>  [7004,] 4.211983e-04 1.014339e-03 #>  [7005,] 7.590527e-05 4.680076e-05 #>  [7006,] 1.396166e-05 1.332563e-05 #>  [7007,] 5.477459e-05 1.965695e-05 #>  [7008,] 7.131724e-04 1.705624e-04 #>  [7009,] 1.985606e-05 1.667989e-05 #>  [7010,] 3.372700e-05 2.343712e-04 #>  [7011,] 1.249307e-05 1.168701e-05 #>  [7012,] 1.375982e-05 1.166043e-05 #>  [7013,] 1.559059e-05 1.259753e-05 #>  [7014,] 1.749957e-05 1.655237e-05 #>  [7015,] 1.606354e-05 2.154327e-05 #>  [7016,] 1.244589e-05 1.074075e-05 #>  [7017,] 2.321628e-05 1.805482e-05 #>  [7018,] 1.387385e-05 1.228126e-05 #>  [7019,] 1.402462e-05 1.173678e-05 #>  [7020,] 1.368339e-05 1.254069e-05 #>  [7021,] 1.274564e-05 1.150142e-05 #>  [7022,] 1.802111e-05 3.323766e-05 #>  [7023,] 1.282621e-05 1.187174e-05 #>  [7024,] 9.870130e-05 6.180939e-05 #>  [7025,] 7.068581e-04 4.118526e-04 #>  [7026,] 2.130029e-05 2.416795e-05 #>  [7027,] 1.992879e-05 1.832722e-05 #>  [7028,] 1.165567e-05 9.931957e-06 #>  [7029,] 2.676284e-04 7.579160e-05 #>  [7030,] 6.484546e-04 4.735623e-04 #>  [7031,] 1.342106e-05 1.886440e-05 #>  [7032,] 1.782045e-05 1.156770e-05 #>  [7033,] 2.100794e-05 1.450345e-05 #>  [7034,] 1.531016e-05 1.455356e-05 #>  [7035,] 1.396018e-05 1.468031e-05 #>  [7036,] 1.297423e-05 1.357774e-05 #>  [7037,] 1.256458e-05 1.225728e-05 #>  [7038,] 1.362009e-05 1.258143e-05 #>  [7039,] 9.805148e-05 1.784988e-05 #>  [7040,] 4.859643e-05 4.609940e-05 #>  [7041,] 2.074077e-05 1.132244e-05 #>  [7042,] 1.309086e-05 1.109948e-05 #>  [7043,] 1.054479e-05 1.012494e-05 #>  [7044,] 3.954173e-04 4.898511e-05 #>  [7045,] 1.469870e-05 1.271030e-05 #>  [7046,] 1.444527e-05 1.376901e-05 #>  [7047,] 1.069671e-04 2.483321e-05 #>  [7048,] 1.725150e-05 1.236247e-05 #>  [7049,] 1.296069e-05 2.258760e-05 #>  [7050,] 4.515222e-05 2.795637e-05 #>  [7051,] 1.369371e-05 1.243866e-05 #>  [7052,] 1.626172e-05 1.364877e-05 #>  [7053,] 1.798737e-04 2.173981e-04 #>  [7054,] 1.350939e-05 1.160979e-05 #>  [7055,] 1.283262e-05 1.214098e-05 #>  [7056,] 2.431227e-05 1.924353e-05 #>  [7057,] 1.047262e-05 9.060851e-06 #>  [7058,] 1.117109e-05 1.065759e-05 #>  [7059,] 1.104756e-04 8.909789e-05 #>  [7060,] 1.537170e-05 1.291787e-05 #>  [7061,] 5.952548e-05 2.913231e-05 #>  [7062,] 4.560216e-05 9.529029e-05 #>  [7063,] 4.792819e-05 3.013208e-05 #>  [7064,] 1.053786e-05 1.318496e-05 #>  [7065,] 1.675831e-05 1.657925e-05 #>  [7066,] 1.175368e-05 9.802994e-06 #>  [7067,] 1.405724e-05 1.211435e-05 #>  [7068,] 3.922146e-05 1.810860e-05 #>  [7069,] 1.650021e-05 1.344678e-05 #>  [7070,] 1.375573e-05 1.314823e-05 #>  [7071,] 1.344500e-05 1.444713e-05 #>  [7072,] 1.532305e-05 1.356149e-05 #>  [7073,] 2.164659e-05 1.481743e-05 #>  [7074,] 1.204941e-05 1.149753e-05 #>  [7075,] 9.117199e-05 4.432952e-05 #>  [7076,] 4.398417e-05 1.455392e-05 #>  [7077,] 1.392807e-05 1.340181e-05 #>  [7078,] 5.256236e-05 1.515853e-05 #>  [7079,] 1.368270e-05 1.217333e-05 #>  [7080,] 1.589379e-05 1.850239e-05 #>  [7081,] 6.473049e-05 2.198906e-05 #>  [7082,] 2.050395e-05 2.782093e-04 #>  [7083,] 4.486717e-05 5.841237e-05 #>  [7084,] 1.578824e-05 1.630378e-05 #>  [7085,] 2.605329e-05 2.194283e-05 #>  [7086,] 1.727191e-05 1.215947e-05 #>  [7087,] 1.435564e-05 1.595941e-05 #>  [7088,] 1.466561e-05 1.280846e-05 #>  [7089,] 1.409203e-05 1.215625e-05 #>  [7090,] 1.844233e-05 1.998416e-05 #>  [7091,] 1.385754e-05 1.203878e-05 #>  [7092,] 1.501504e-05 1.605322e-05 #>  [7093,] 1.701466e-05 1.604772e-05 #>  [7094,] 1.637947e-05 1.602458e-05 #>  [7095,] 2.298545e-05 2.232957e-05 #>  [7096,] 1.503191e-05 1.288466e-05 #>  [7097,] 1.073561e-05 9.587680e-06 #>  [7098,] 1.729930e-05 1.490754e-05 #>  [7099,] 1.429916e-05 1.360632e-05 #>  [7100,] 2.180477e-05 3.876026e-05 #>  [7101,] 2.997192e-05 7.288511e-05 #>  [7102,] 1.354906e-05 1.294407e-05 #>  [7103,] 2.797882e-05 1.876746e-05 #>  [7104,] 2.997587e-05 1.443287e-05 #>  [7105,] 6.856580e-05 1.735251e-05 #>  [7106,] 1.886088e-05 1.190796e-05 #>  [7107,] 4.183774e-05 8.372069e-05 #>  [7108,] 2.547650e-05 2.086094e-05 #>  [7109,] 2.707076e-05 1.204053e-04 #>  [7110,] 3.813082e-05 2.220162e-05 #>  [7111,] 1.308784e-05 1.112735e-05 #>  [7112,] 3.097640e-05 1.166142e-05 #>  [7113,] 1.484077e-05 1.994379e-05 #>  [7114,] 6.663677e-05 2.676520e-05 #>  [7115,] 1.404128e-05 1.017596e-05 #>  [7116,] 1.922124e-05 1.351737e-05 #>  [7117,] 1.440946e-05 1.280439e-05 #>  [7118,] 2.396901e-05 1.181443e-05 #>  [7119,] 1.606338e-05 1.644650e-05 #>  [7120,] 2.582042e-05 5.339446e-05 #>  [7121,] 1.779133e-05 1.470854e-05 #>  [7122,] 7.812650e-05 4.928301e-05 #>  [7123,] 3.260344e-05 5.512249e-05 #>  [7124,] 3.817804e-05 3.918197e-05 #>  [7125,] 1.567034e-05 1.919092e-05 #>  [7126,] 1.539563e-05 1.308418e-05 #>  [7127,] 1.444649e-05 2.251234e-05 #>  [7128,] 6.785451e-05 2.998400e-05 #>  [7129,] 1.007483e-05 9.697682e-06 #>  [7130,] 1.401907e-05 1.425120e-05 #>  [7131,] 3.667655e-05 1.731989e-05 #>  [7132,] 1.548129e-05 1.333339e-05 #>  [7133,] 1.244652e-04 2.825337e-05 #>  [7134,] 2.297841e-05 3.294799e-05 #>  [7135,] 1.399100e-05 1.121972e-05 #>  [7136,] 2.064534e-04 6.600155e-05 #>  [7137,] 2.029049e-05 2.942099e-05 #>  [7138,] 2.519118e-05 1.864806e-05 #>  [7139,] 2.128859e-05 1.473347e-05 #>  [7140,] 3.117668e-05 9.581141e-04 #>  [7141,] 1.263224e-05 1.076654e-05 #>  [7142,] 1.600113e-05 1.685351e-05 #>  [7143,] 1.358824e-05 1.159513e-05 #>  [7144,] 1.320459e-05 1.249678e-05 #>  [7145,] 1.429313e-05 1.477721e-05 #>  [7146,] 1.497150e-05 1.491704e-05 #>  [7147,] 1.491918e-05 2.033682e-05 #>  [7148,] 4.381222e-05 1.926899e-05 #>  [7149,] 1.094807e-05 1.196172e-05 #>  [7150,] 2.140802e-05 1.205443e-05 #>  [7151,] 4.013686e-05 2.338416e-05 #>  [7152,] 1.177280e-05 1.086293e-05 #>  [7153,] 2.218410e-05 2.303170e-05 #>  [7154,] 2.810896e-05 1.324707e-05 #>  [7155,] 5.026101e-05 1.824056e-05 #>  [7156,] 1.261130e-05 1.114399e-05 #>  [7157,] 3.210750e-05 3.024667e-05 #>  [7158,] 1.210807e-05 1.142666e-05 #>  [7159,] 1.455027e-05 1.309800e-05 #>  [7160,] 1.371839e-05 1.166159e-05 #>  [7161,] 1.270264e-05 1.233561e-05 #>  [7162,] 1.172051e-05 1.161291e-05 #>  [7163,] 1.186661e-05 1.161856e-05 #>  [7164,] 2.042456e-05 2.004904e-05 #>  [7165,] 1.155918e-05 1.217076e-05 #>  [7166,] 2.873786e-05 5.198872e-05 #>  [7167,] 1.533708e-05 1.266098e-05 #>  [7168,] 1.744008e-05 1.405593e-05 #>  [7169,] 1.678591e-05 1.589294e-05 #>  [7170,] 1.998347e-05 2.003285e-05 #>  [7171,] 1.268184e-05 2.095113e-05 #>  [7172,] 2.691506e-05 1.172352e-05 #>  [7173,] 1.232863e-05 1.164831e-05 #>  [7174,] 1.021097e-04 3.542855e-04 #>  [7175,] 1.401510e-05 1.186468e-05 #>  [7176,] 1.177787e-05 2.039126e-05 #>  [7177,] 1.611432e-05 1.330079e-05 #>  [7178,] 1.856134e-04 2.758540e-04 #>  [7179,] 1.314754e-05 1.478971e-05 #>  [7180,] 1.947219e-05 1.800640e-05 #>  [7181,] 1.337721e-05 1.372075e-05 #>  [7182,] 1.491499e-05 1.472329e-05 #>  [7183,] 1.355898e-05 1.240955e-05 #>  [7184,] 2.725261e-05 1.838912e-04 #>  [7185,] 1.447118e-05 3.837541e-05 #>  [7186,] 1.563331e-05 3.281829e-05 #>  [7187,] 1.125132e-05 1.098553e-05 #>  [7188,] 1.249748e-05 1.139006e-05 #>  [7189,] 5.106679e-05 4.340008e-05 #>  [7190,] 2.814645e-05 2.397648e-05 #>  [7191,] 2.013105e-05 2.055163e-05 #>  [7192,] 1.137942e-05 1.087092e-05 #>  [7193,] 1.408657e-05 1.228151e-05 #>  [7194,] 3.263843e-04 8.158760e-05 #>  [7195,] 1.715180e-05 1.373364e-05 #>  [7196,] 1.335579e-05 1.300975e-05 #>  [7197,] 2.345701e-05 1.699639e-05 #>  [7198,] 1.491806e-05 1.262207e-05 #>  [7199,] 2.248375e-05 4.246897e-05 #>  [7200,] 1.612288e-05 1.411666e-05 #>  [7201,] 4.449850e-05 3.387004e-04 #>  [7202,] 1.480181e-05 1.434841e-05 #>  [7203,] 1.129737e-05 9.896963e-06 #>  [7204,] 1.932818e-05 1.663848e-05 #>  [7205,] 3.499854e-05 8.643170e-05 #>  [7206,] 8.784339e-05 4.730669e-05 #>  [7207,] 1.525956e-05 1.382921e-05 #>  [7208,] 2.027141e-05 2.057536e-05 #>  [7209,] 1.900217e-04 3.263502e-04 #>  [7210,] 1.351566e-05 1.198834e-05 #>  [7211,] 1.695880e-05 1.434356e-05 #>  [7212,] 1.389060e-05 1.292726e-05 #>  [7213,] 1.621766e-05 1.559315e-05 #>  [7214,] 1.354885e-05 1.239381e-05 #>  [7215,] 1.124625e-05 1.184162e-05 #>  [7216,] 1.492520e-05 1.965585e-05 #>  [7217,] 1.156479e-05 1.058635e-05 #>  [7218,] 1.334512e-05 1.161807e-05 #>  [7219,] 1.374125e-05 1.142890e-05 #>  [7220,] 2.849656e-05 2.562584e-05 #>  [7221,] 3.220601e-05 4.188824e-05 #>  [7222,] 1.899613e-05 1.656230e-05 #>  [7223,] 1.457828e-05 1.326479e-05 #>  [7224,] 3.644502e-05 1.216027e-05 #>  [7225,] 3.412103e-05 4.160911e-05 #>  [7226,] 1.795240e-05 1.464721e-05 #>  [7227,] 3.125044e-05 1.720792e-05 #>  [7228,] 5.329324e-05 2.252414e-05 #>  [7229,] 4.250163e-05 1.854602e-05 #>  [7230,] 1.779269e-05 1.409538e-05 #>  [7231,] 1.294950e-05 1.075463e-05 #>  [7232,] 1.300120e-04 5.348850e-05 #>  [7233,] 7.133817e-05 3.594153e-05 #>  [7234,] 2.161602e-05 1.625916e-05 #>  [7235,] 1.517011e-05 1.274816e-05 #>  [7236,] 2.137960e-05 1.961965e-05 #>  [7237,] 1.549072e-05 1.258602e-05 #>  [7238,] 4.007800e-05 1.611088e-05 #>  [7239,] 1.706592e-04 1.587201e-04 #>  [7240,] 2.388851e-05 2.508858e-05 #>  [7241,] 6.537290e-05 1.656920e-05 #>  [7242,] 3.954278e-05 2.321567e-05 #>  [7243,] 3.664981e-05 1.897024e-05 #>  [7244,] 1.766187e-05 4.295245e-05 #>  [7245,] 1.994000e-05 1.864804e-05 #>  [7246,] 3.689122e-05 6.656292e-05 #>  [7247,] 2.827349e-04 1.954112e-04 #>  [7248,] 1.359387e-05 1.314845e-05 #>  [7249,] 2.898532e-05 3.159034e-05 #>  [7250,] 2.999525e-05 1.166694e-05 #>  [7251,] 1.211868e-05 1.113490e-05 #>  [7252,] 7.932957e-05 2.391806e-05 #>  [7253,] 1.612910e-05 1.415343e-05 #>  [7254,] 6.976784e-04 2.164694e-04 #>  [7255,] 1.368537e-05 1.424573e-05 #>  [7256,] 1.910441e-05 1.352390e-05 #>  [7257,] 1.854198e-05 1.553352e-05 #>  [7258,] 2.661227e-05 1.406497e-05 #>  [7259,] 1.408829e-05 1.117890e-05 #>  [7260,] 2.730137e-05 1.198823e-05 #>  [7261,] 1.236683e-04 2.412975e-05 #>  [7262,] 2.188599e-05 4.174983e-05 #>  [7263,] 1.439397e-05 1.114982e-05 #>  [7264,] 1.363426e-05 1.392859e-05 #>  [7265,] 1.354976e-05 1.127133e-05 #>  [7266,] 1.514105e-05 1.283478e-05 #>  [7267,] 1.262875e-05 1.283657e-05 #>  [7268,] 1.255075e-05 1.000888e-05 #>  [7269,] 1.457667e-05 1.322406e-05 #>  [7270,] 1.235056e-05 1.192349e-05 #>  [7271,] 1.239961e-05 9.970013e-06 #>  [7272,] 1.363203e-05 1.225032e-05 #>  [7273,] 2.280317e-04 2.752582e-05 #>  [7274,] 2.097803e-05 1.171452e-05 #>  [7275,] 1.919777e-05 1.412670e-05 #>  [7276,] 1.086801e-05 1.033051e-05 #>  [7277,] 1.531725e-05 1.295193e-05 #>  [7278,] 1.019493e-05 1.069562e-05 #>  [7279,] 2.056229e-05 1.474369e-05 #>  [7280,] 3.083068e-05 4.597853e-04 #>  [7281,] 1.256117e-05 1.054293e-05 #>  [7282,] 2.442420e-04 8.517805e-05 #>  [7283,] 1.466685e-05 1.252490e-05 #>  [7284,] 1.316335e-05 1.192849e-05 #>  [7285,] 2.721047e-05 4.163241e-05 #>  [7286,] 1.457783e-05 5.338162e-05 #>  [7287,] 3.857033e-05 1.170516e-05 #>  [7288,] 1.372862e-05 1.907937e-05 #>  [7289,] 3.281448e-05 9.611369e-05 #>  [7290,] 1.242893e-05 1.188774e-05 #>  [7291,] 1.316278e-05 1.188755e-05 #>  [7292,] 3.153379e-05 1.801501e-05 #>  [7293,] 3.192382e-05 3.513027e-05 #>  [7294,] 1.365211e-05 1.455008e-05 #>  [7295,] 1.478771e-05 1.445775e-05 #>  [7296,] 2.449516e-05 1.579931e-05 #>  [7297,] 1.680847e-05 1.600316e-05 #>  [7298,] 1.060731e-05 1.026021e-05 #>  [7299,] 1.299454e-05 1.161758e-05 #>  [7300,] 1.982373e-05 1.627320e-05 #>  [7301,] 4.928814e-04 1.014370e-04 #>  [7302,] 8.023567e-05 8.714659e-05 #>  [7303,] 1.420924e-05 1.348626e-05 #>  [7304,] 1.563526e-05 1.576944e-05 #>  [7305,] 1.632215e-05 1.523282e-05 #>  [7306,] 2.945344e-05 2.418238e-05 #>  [7307,] 3.300355e-05 1.205226e-05 #>  [7308,] 5.910042e-05 1.238445e-05 #>  [7309,] 1.448048e-05 1.211798e-05 #>  [7310,] 1.509544e-05 1.371572e-05 #>  [7311,] 1.665951e-05 1.004355e-05 #>  [7312,] 1.311219e-05 1.088375e-05 #>  [7313,] 1.279969e-05 1.050557e-05 #>  [7314,] 6.011629e-05 1.603851e-04 #>  [7315,] 3.429718e-05 1.050180e-04 #>  [7316,] 1.036966e-05 8.680989e-06 #>  [7317,] 1.198672e-05 1.028714e-05 #>  [7318,] 1.424131e-05 1.182333e-05 #>  [7319,] 1.565040e-05 1.341270e-05 #>  [7320,] 1.316279e-05 1.387502e-05 #>  [7321,] 1.246907e-05 1.119834e-05 #>  [7322,] 1.695582e-05 1.411833e-05 #>  [7323,] 2.907558e-05 1.599109e-05 #>  [7324,] 1.369945e-05 2.459351e-05 #>  [7325,] 1.307963e-05 1.073198e-05 #>  [7326,] 1.452048e-05 1.404237e-05 #>  [7327,] 1.362047e-05 1.531061e-05 #>  [7328,] 8.537342e-05 1.881669e-05 #>  [7329,] 2.347080e-04 2.622111e-04 #>  [7330,] 1.501979e-05 1.195203e-05 #>  [7331,] 2.195858e-04 1.665801e-04 #>  [7332,] 1.312316e-05 1.195959e-05 #>  [7333,] 1.579947e-05 1.328863e-05 #>  [7334,] 1.250492e-05 1.050101e-05 #>  [7335,] 1.084922e-05 1.219859e-05 #>  [7336,] 3.071381e-05 1.356231e-05 #>  [7337,] 1.620108e-05 1.311125e-05 #>  [7338,] 2.876617e-05 1.561689e-05 #>  [7339,] 1.508829e-05 1.316562e-05 #>  [7340,] 1.553962e-05 1.382893e-05 #>  [7341,] 8.704266e-05 2.295823e-05 #>  [7342,] 4.657885e-05 1.815354e-05 #>  [7343,] 1.114890e-04 7.056367e-05 #>  [7344,] 4.500556e-05 9.519689e-05 #>  [7345,] 1.044179e-05 9.959469e-06 #>  [7346,] 8.339173e-05 2.774658e-05 #>  [7347,] 1.347769e-05 1.133950e-05 #>  [7348,] 1.286850e-05 1.103639e-05 #>  [7349,] 3.609204e-05 1.643331e-05 #>  [7350,] 1.586256e-05 1.272940e-05 #>  [7351,] 2.058726e-05 1.517102e-05 #>  [7352,] 2.963492e-05 2.175851e-05 #>  [7353,] 1.931075e-05 1.360648e-05 #>  [7354,] 6.759216e-05 1.264999e-04 #>  [7355,] 1.460674e-05 1.141259e-05 #>  [7356,] 1.239587e-05 1.121255e-05 #>  [7357,] 2.408297e-05 4.335883e-05 #>  [7358,] 1.895279e-05 1.853991e-05 #>  [7359,] 1.366815e-05 9.533863e-06 #>  [7360,] 1.503165e-05 1.228602e-05 #>  [7361,] 1.617229e-05 1.315192e-05 #>  [7362,] 1.239943e-05 9.847525e-06 #>  [7363,] 1.299688e-05 1.145523e-05 #>  [7364,] 1.680478e-05 5.565577e-05 #>  [7365,] 1.316885e-05 1.109778e-05 #>  [7366,] 2.289017e-05 2.754551e-05 #>  [7367,] 1.407277e-05 1.208813e-05 #>  [7368,] 1.136078e-05 9.729335e-06 #>  [7369,] 1.696784e-05 1.722406e-05 #>  [7370,] 2.455153e-05 3.477693e-05 #>  [7371,] 1.588556e-05 1.335292e-05 #>  [7372,] 1.293906e-05 1.133892e-05 #>  [7373,] 1.531221e-05 1.178618e-05 #>  [7374,] 1.068156e-05 1.036033e-05 #>  [7375,] 1.061171e-04 1.775819e-04 #>  [7376,] 1.627180e-05 1.583100e-05 #>  [7377,] 1.157591e-05 1.030137e-05 #>  [7378,] 1.198684e-05 1.056808e-05 #>  [7379,] 1.465707e-05 1.159660e-05 #>  [7380,] 2.816943e-05 1.804585e-05 #>  [7381,] 1.572137e-05 1.076245e-05 #>  [7382,] 9.577444e-05 1.937645e-05 #>  [7383,] 6.183162e-05 1.806688e-05 #>  [7384,] 1.313923e-05 1.722649e-05 #>  [7385,] 1.752358e-05 2.850679e-05 #>  [7386,] 1.476731e-05 1.494793e-05 #>  [7387,] 1.249520e-04 8.357781e-05 #>  [7388,] 6.771292e-05 3.400024e-05 #>  [7389,] 1.542447e-05 1.476101e-05 #>  [7390,] 2.286296e-05 1.538279e-05 #>  [7391,] 1.501144e-05 1.350638e-05 #>  [7392,] 1.106370e-05 1.097397e-05 #>  [7393,] 1.472371e-05 1.201528e-05 #>  [7394,] 2.944910e-05 7.763164e-05 #>  [7395,] 2.328933e-04 1.728208e-04 #>  [7396,] 1.063162e-05 9.289459e-06 #>  [7397,] 1.737589e-05 1.162340e-05 #>  [7398,] 2.318240e-05 1.731544e-05 #>  [7399,] 6.245805e-05 3.208172e-05 #>  [7400,] 1.395510e-05 1.716856e-05 #>  [7401,] 1.824546e-04 9.431460e-04 #>  [7402,] 1.230070e-05 1.072923e-05 #>  [7403,] 1.862687e-05 1.881571e-05 #>  [7404,] 4.308102e-05 1.625385e-05 #>  [7405,] 1.701327e-05 1.219613e-05 #>  [7406,] 1.559433e-05 1.220372e-05 #>  [7407,] 1.679527e-05 1.260738e-05 #>  [7408,] 3.684971e-04 5.066629e-04 #>  [7409,] 1.375883e-05 1.448144e-05 #>  [7410,] 5.107216e-05 1.143384e-05 #>  [7411,] 1.301502e-05 1.519290e-05 #>  [7412,] 6.783672e-04 1.014657e-04 #>  [7413,] 1.627655e-05 1.557288e-05 #>  [7414,] 1.500974e-05 1.418931e-05 #>  [7415,] 1.388798e-05 1.115038e-05 #>  [7416,] 1.404360e-05 1.451020e-05 #>  [7417,] 3.367604e-05 6.160551e-05 #>  [7418,] 1.396458e-05 3.459449e-04 #>  [7419,] 1.678014e-05 1.852155e-05 #>  [7420,] 3.608809e-05 1.197966e-05 #>  [7421,] 2.615821e-05 1.771752e-05 #>  [7422,] 1.830122e-04 2.463318e-05 #>  [7423,] 1.536741e-05 1.378996e-05 #>  [7424,] 2.179170e-04 1.715616e-05 #>  [7425,] 2.920435e-05 1.561068e-05 #>  [7426,] 6.085402e-05 3.220119e-05 #>  [7427,] 2.205056e-05 1.365363e-05 #>  [7428,] 1.662916e-05 9.039827e-05 #>  [7429,] 1.582322e-05 1.105459e-05 #>  [7430,] 1.515925e-05 1.324393e-05 #>  [7431,] 1.794579e-05 1.960742e-05 #>  [7432,] 1.382666e-05 1.465530e-05 #>  [7433,] 1.916691e-05 1.448689e-05 #>  [7434,] 5.569862e-04 5.346542e-05 #>  [7435,] 1.389885e-05 1.260891e-05 #>  [7436,] 1.334029e-05 1.146578e-05 #>  [7437,] 7.210556e-05 2.771454e-05 #>  [7438,] 1.539906e-05 1.926456e-05 #>  [7439,] 1.107146e-05 9.499292e-06 #>  [7440,] 1.325675e-05 1.180644e-05 #>  [7441,] 1.456528e-05 1.188013e-05 #>  [7442,] 3.840597e-05 6.575621e-05 #>  [7443,] 2.425085e-04 1.031051e-03 #>  [7444,] 1.480668e-05 1.638774e-05 #>  [7445,] 3.671930e-05 4.406506e-05 #>  [7446,] 1.960125e-05 1.512773e-05 #>  [7447,] 9.469317e-04 8.374678e-04 #>  [7448,] 1.931266e-05 1.384129e-05 #>  [7449,] 1.512307e-05 1.212692e-05 #>  [7450,] 1.696324e-05 1.549619e-05 #>  [7451,] 1.404076e-05 1.284597e-05 #>  [7452,] 1.117384e-05 1.059670e-05 #>  [7453,] 1.576153e-05 1.169421e-05 #>  [7454,] 1.258419e-05 1.236998e-05 #>  [7455,] 1.651366e-05 1.306289e-05 #>  [7456,] 1.405680e-05 1.307135e-05 #>  [7457,] 9.063029e-05 1.698775e-04 #>  [7458,] 1.676630e-04 8.455858e-05 #>  [7459,] 4.276985e-05 2.778272e-05 #>  [7460,] 1.026233e-05 1.086538e-05 #>  [7461,] 1.210684e-05 1.087801e-05 #>  [7462,] 2.447084e-05 4.568719e-05 #>  [7463,] 1.846174e-05 2.490111e-05 #>  [7464,] 1.464240e-05 1.264726e-05 #>  [7465,] 1.365093e-05 1.099400e-05 #>  [7466,] 1.511547e-05 1.408522e-05 #>  [7467,] 2.239722e-05 2.603211e-05 #>  [7468,] 1.243992e-05 1.123809e-05 #>  [7469,] 1.554182e-05 1.370879e-05 #>  [7470,] 1.785500e-05 1.179783e-05 #>  [7471,] 1.557302e-05 1.214007e-05 #>  [7472,] 1.892461e-05 3.462025e-05 #>  [7473,] 1.429087e-05 1.320832e-05 #>  [7474,] 5.189208e-04 9.202124e-05 #>  [7475,] 3.891773e-05 1.862429e-05 #>  [7476,] 1.108021e-05 1.038869e-05 #>  [7477,] 1.539226e-05 1.368673e-05 #>  [7478,] 3.469489e-05 2.635442e-05 #>  [7479,] 2.054704e-04 2.707872e-05 #>  [7480,] 2.703820e-05 2.201734e-05 #>  [7481,] 1.371199e-05 1.138269e-05 #>  [7482,] 1.431819e-05 1.198380e-05 #>  [7483,] 1.314112e-05 1.077278e-05 #>  [7484,] 4.427866e-04 7.720494e-05 #>  [7485,] 1.444785e-04 1.854450e-05 #>  [7486,] 1.221487e-04 7.229068e-05 #>  [7487,] 1.557951e-04 6.608266e-05 #>  [7488,] 1.459355e-05 1.313202e-05 #>  [7489,] 1.373694e-05 1.195038e-05 #>  [7490,] 3.102675e-05 2.213174e-05 #>  [7491,] 1.568141e-05 1.451323e-05 #>  [7492,] 1.491405e-05 1.383397e-05 #>  [7493,] 2.664287e-05 2.176003e-05 #>  [7494,] 2.124716e-05 1.477654e-05 #>  [7495,] 1.905095e-05 3.387688e-05 #>  [7496,] 3.460715e-05 4.019411e-05 #>  [7497,] 1.724921e-05 1.573926e-05 #>  [7498,] 1.910597e-05 1.456691e-05 #>  [7499,] 1.675006e-05 1.435752e-05 #>  [7500,] 3.073809e-05 9.471641e-05 #>  [7501,] 1.906322e-05 1.673469e-05 #>  [7502,] 4.501265e-05 2.486131e-05 #>  [7503,] 1.337373e-05 1.173964e-05 #>  [7504,] 6.019901e-05 2.450967e-05 #>  [7505,] 1.387996e-05 1.277760e-05 #>  [7506,] 3.596294e-05 1.171094e-05 #>  [7507,] 1.684199e-05 1.481894e-05 #>  [7508,] 1.610661e-05 1.303715e-05 #>  [7509,] 2.977017e-04 6.336946e-05 #>  [7510,] 7.896336e-05 1.635079e-05 #>  [7511,] 2.505533e-04 3.433343e-04 #>  [7512,] 1.375011e-05 1.062802e-05 #>  [7513,] 6.446891e-04 6.373311e-04 #>  [7514,] 9.600633e-04 1.045309e-03 #>  [7515,] 3.880056e-04 5.171721e-05 #>  [7516,] 8.061577e-04 8.343129e-04 #>  [7517,] 2.429919e-05 3.159727e-05 #>  [7518,] 1.495682e-05 1.277896e-05 #>  [7519,] 3.770199e-05 1.913268e-05 #>  [7520,] 1.143573e-05 1.259007e-05 #>  [7521,] 1.604362e-05 2.736049e-05 #>  [7522,] 2.190269e-05 1.403595e-05 #>  [7523,] 1.832306e-05 1.684621e-05 #>  [7524,] 1.376389e-05 1.256196e-05 #>  [7525,] 1.492336e-05 1.694372e-05 #>  [7526,] 1.533198e-05 1.379301e-05 #>  [7527,] 3.919144e-05 5.101235e-04 #>  [7528,] 1.422028e-05 1.203299e-05 #>  [7529,] 2.713716e-05 1.844160e-05 #>  [7530,] 1.658457e-05 1.280023e-05 #>  [7531,] 1.474469e-05 1.274205e-05 #>  [7532,] 2.965996e-05 7.202097e-05 #>  [7533,] 1.040115e-04 4.050449e-05 #>  [7534,] 1.239387e-05 1.040751e-05 #>  [7535,] 2.132921e-04 2.066406e-04 #>  [7536,] 1.923827e-05 1.461204e-05 #>  [7537,] 1.296808e-05 1.090265e-05 #>  [7538,] 1.106786e-05 1.488784e-05 #>  [7539,] 1.454580e-05 3.265185e-05 #>  [7540,] 1.327257e-05 1.074310e-05 #>  [7541,] 1.424446e-05 1.176426e-05 #>  [7542,] 1.498564e-05 1.563005e-05 #>  [7543,] 1.326425e-05 1.093872e-05 #>  [7544,] 1.387726e-05 1.099124e-05 #>  [7545,] 1.456732e-05 1.129090e-05 #>  [7546,] 7.776341e-05 3.987190e-05 #>  [7547,] 1.098066e-05 1.244997e-05 #>  [7548,] 1.618843e-05 1.181739e-05 #>  [7549,] 4.579679e-05 1.467347e-05 #>  [7550,] 1.479757e-05 1.249485e-05 #>  [7551,] 6.717031e-05 5.797813e-05 #>  [7552,] 1.459762e-05 1.158167e-05 #>  [7553,] 1.730632e-05 4.304905e-05 #>  [7554,] 1.205453e-05 1.118654e-05 #>  [7555,] 2.565980e-05 2.094802e-05 #>  [7556,] 2.394401e-05 5.709060e-05 #>  [7557,] 1.201232e-05 1.178837e-05 #>  [7558,] 7.166261e-05 6.216738e-05 #>  [7559,] 1.229287e-05 3.662582e-05 #>  [7560,] 8.143017e-05 9.071072e-05 #>  [7561,] 1.477375e-05 2.882020e-05 #>  [7562,] 1.469256e-05 2.336276e-05 #>  [7563,] 2.126555e-05 1.963948e-05 #>  [7564,] 1.502182e-05 1.106653e-05 #>  [7565,] 3.060069e-05 1.656765e-05 #>  [7566,] 1.625763e-05 1.732872e-05 #>  [7567,] 1.428209e-05 1.872001e-05 #>  [7568,] 1.391757e-05 1.229970e-05 #>  [7569,] 1.467919e-05 1.269243e-05 #>  [7570,] 1.150474e-05 1.061099e-05 #>  [7571,] 1.532148e-05 1.485325e-05 #>  [7572,] 8.739235e-05 1.575344e-05 #>  [7573,] 1.529359e-05 1.235553e-05 #>  [7574,] 1.329485e-05 2.586668e-05 #>  [7575,] 1.397659e-05 1.205204e-05 #>  [7576,] 1.375935e-05 1.154415e-05 #>  [7577,] 4.351250e-04 6.689118e-05 #>  [7578,] 1.835125e-05 1.272194e-05 #>  [7579,] 9.529218e-05 5.452919e-05 #>  [7580,] 1.466164e-05 1.239240e-05 #>  [7581,] 5.691427e-05 2.705613e-04 #>  [7582,] 2.858896e-05 2.481143e-05 #>  [7583,] 1.470913e-05 1.365435e-05 #>  [7584,] 6.439425e-05 3.131147e-05 #>  [7585,] 1.450333e-05 1.334187e-05 #>  [7586,] 1.312299e-05 1.306137e-05 #>  [7587,] 1.168274e-05 9.489692e-06 #>  [7588,] 2.258132e-05 2.358671e-05 #>  [7589,] 1.397224e-05 1.180390e-05 #>  [7590,] 1.355716e-05 1.160198e-05 #>  [7591,] 1.082328e-05 1.066248e-05 #>  [7592,] 8.698080e-04 9.521879e-04 #>  [7593,] 5.008258e-05 2.880831e-05 #>  [7594,] 1.494580e-05 1.272930e-05 #>  [7595,] 2.354468e-05 1.173684e-05 #>  [7596,] 1.567530e-05 1.476135e-05 #>  [7597,] 1.763269e-05 2.240589e-05 #>  [7598,] 1.593139e-05 1.427066e-05 #>  [7599,] 1.176268e-05 1.199692e-05 #>  [7600,] 2.612694e-05 2.418762e-05 #>  [7601,] 1.268922e-05 1.191014e-05 #>  [7602,] 3.332233e-05 3.167588e-05 #>  [7603,] 2.905944e-05 1.160002e-05 #>  [7604,] 3.408227e-05 1.270472e-04 #>  [7605,] 1.413378e-05 3.307583e-05 #>  [7606,] 4.187228e-05 1.219523e-05 #>  [7607,] 2.482681e-05 6.116741e-05 #>  [7608,] 3.216610e-05 2.275032e-05 #>  [7609,] 3.875147e-05 1.917471e-05 #>  [7610,] 1.669396e-05 1.322656e-05 #>  [7611,] 1.550225e-05 1.538944e-05 #>  [7612,] 1.160249e-05 8.423450e-06 #>  [7613,] 1.427305e-05 1.173921e-05 #>  [7614,] 1.533242e-05 1.232091e-05 #>  [7615,] 1.537372e-05 1.333752e-05 #>  [7616,] 1.153707e-05 1.166212e-05 #>  [7617,] 1.345405e-05 1.103308e-05 #>  [7618,] 1.169459e-05 1.071254e-05 #>  [7619,] 1.505709e-05 1.301412e-05 #>  [7620,] 2.380138e-05 4.327500e-05 #>  [7621,] 1.207039e-05 1.025607e-05 #>  [7622,] 1.828851e-05 2.233121e-05 #>  [7623,] 3.734925e-05 3.831778e-05 #>  [7624,] 5.808262e-05 2.200892e-04 #>  [7625,] 1.415064e-05 1.146519e-05 #>  [7626,] 1.712793e-05 1.815183e-05 #>  [7627,] 1.561014e-05 1.940767e-05 #>  [7628,] 1.782889e-05 1.367234e-05 #>  [7629,] 6.148125e-05 1.356356e-05 #>  [7630,] 5.698126e-05 7.235285e-05 #>  [7631,] 7.244624e-05 3.241595e-05 #>  [7632,] 2.061062e-05 1.706695e-05 #>  [7633,] 1.520940e-05 1.530467e-05 #>  [7634,] 1.414700e-05 1.324354e-05 #>  [7635,] 7.172899e-05 9.579828e-05 #>  [7636,] 3.262879e-05 1.863226e-05 #>  [7637,] 1.441166e-05 1.466139e-05 #>  [7638,] 1.327357e-05 1.221047e-05 #>  [7639,] 2.307820e-05 1.769223e-05 #>  [7640,] 1.466314e-05 1.326486e-05 #>  [7641,] 1.892854e-05 1.353813e-05 #>  [7642,] 1.609821e-05 1.089522e-05 #>  [7643,] 1.539550e-05 1.169911e-05 #>  [7644,] 2.154179e-04 4.425659e-04 #>  [7645,] 4.547173e-05 2.972577e-05 #>  [7646,] 1.544607e-05 1.408144e-05 #>  [7647,] 1.251633e-05 1.076265e-05 #>  [7648,] 1.384916e-05 1.355170e-05 #>  [7649,] 1.281498e-05 1.127754e-05 #>  [7650,] 3.207906e-05 3.423862e-05 #>  [7651,] 1.578991e-05 1.419558e-05 #>  [7652,] 1.636981e-05 1.696915e-05 #>  [7653,] 1.115756e-05 1.024753e-05 #>  [7654,] 5.415650e-05 2.665620e-05 #>  [7655,] 7.614501e-05 4.155581e-05 #>  [7656,] 1.529392e-05 1.309131e-05 #>  [7657,] 1.389233e-05 1.257960e-05 #>  [7658,] 1.358301e-05 1.202931e-05 #>  [7659,] 1.602433e-05 1.072835e-05 #>  [7660,] 1.411095e-05 1.447766e-05 #>  [7661,] 1.405954e-05 1.231677e-05 #>  [7662,] 1.226879e-05 1.127813e-05 #>  [7663,] 2.797934e-05 1.927397e-05 #>  [7664,] 1.135799e-05 1.082358e-05 #>  [7665,] 2.248580e-05 1.555567e-05 #>  [7666,] 2.292279e-05 2.312213e-05 #>  [7667,] 1.595406e-05 1.540267e-05 #>  [7668,] 2.722009e-05 3.044629e-05 #>  [7669,] 6.310784e-04 2.634124e-04 #>  [7670,] 1.868480e-05 1.258029e-05 #>  [7671,] 1.398505e-05 1.280546e-05 #>  [7672,] 2.116808e-05 1.161335e-05 #>  [7673,] 1.060476e-05 1.228513e-05 #>  [7674,] 3.198242e-05 1.442370e-05 #>  [7675,] 2.072669e-05 1.769913e-05 #>  [7676,] 2.749731e-04 2.514543e-04 #>  [7677,] 5.833619e-05 3.795397e-05 #>  [7678,] 1.368640e-05 1.226661e-05 #>  [7679,] 1.766263e-05 1.319472e-05 #>  [7680,] 1.393960e-05 1.239716e-05 #>  [7681,] 1.247611e-05 1.528688e-05 #>  [7682,] 6.168496e-04 1.371897e-04 #>  [7683,] 1.742935e-05 1.314013e-05 #>  [7684,] 1.817684e-05 1.740119e-05 #>  [7685,] 5.344621e-05 5.661190e-05 #>  [7686,] 1.490261e-05 2.979103e-05 #>  [7687,] 1.182638e-05 1.288974e-05 #>  [7688,] 2.133417e-05 2.234471e-05 #>  [7689,] 1.269195e-05 1.165138e-05 #>  [7690,] 6.015363e-05 3.501779e-05 #>  [7691,] 1.393562e-05 1.654319e-05 #>  [7692,] 1.416660e-05 2.289843e-05 #>  [7693,] 7.332983e-04 9.459706e-04 #>  [7694,] 2.378610e-05 2.462395e-05 #>  [7695,] 1.406446e-05 1.175469e-05 #>  [7696,] 8.711709e-05 1.533005e-04 #>  [7697,] 1.425901e-05 1.437045e-05 #>  [7698,] 1.632048e-05 1.306263e-05 #>  [7699,] 3.756006e-05 1.778414e-05 #>  [7700,] 1.372797e-05 1.099487e-05 #>  [7701,] 8.739176e-05 2.611342e-04 #>  [7702,] 1.144521e-05 1.044586e-05 #>  [7703,] 1.363647e-05 1.106705e-05 #>  [7704,] 3.685755e-05 1.284058e-05 #>  [7705,] 2.845469e-05 5.894725e-04 #>  [7706,] 2.073289e-05 1.499147e-05 #>  [7707,] 1.376983e-05 1.206095e-05 #>  [7708,] 1.704185e-05 2.905385e-05 #>  [7709,] 1.502500e-05 1.153493e-05 #>  [7710,] 1.506942e-05 1.265530e-05 #>  [7711,] 1.295634e-05 1.210202e-05 #>  [7712,] 1.151329e-05 1.014656e-05 #>  [7713,] 4.415615e-05 2.718273e-05 #>  [7714,] 5.795009e-05 9.676913e-05 #>  [7715,] 1.647503e-05 1.248091e-05 #>  [7716,] 9.210430e-05 1.144077e-04 #>  [7717,] 2.508247e-05 1.988401e-05 #>  [7718,] 1.484716e-05 1.496923e-05 #>  [7719,] 1.636517e-05 1.438580e-05 #>  [7720,] 1.481190e-05 1.275160e-05 #>  [7721,] 1.003489e-05 1.018827e-05 #>  [7722,] 5.454691e-05 4.531640e-05 #>  [7723,] 1.488792e-05 1.333714e-05 #>  [7724,] 1.510374e-05 1.738357e-05 #>  [7725,] 1.010278e-04 8.250455e-05 #>  [7726,] 2.149342e-05 1.999265e-05 #>  [7727,] 1.490463e-05 2.010145e-05 #>  [7728,] 2.255671e-05 3.087442e-05 #>  [7729,] 1.605391e-05 1.494333e-05 #>  [7730,] 1.474533e-05 1.346758e-05 #>  [7731,] 2.535847e-05 1.184352e-05 #>  [7732,] 1.586313e-05 8.078623e-05 #>  [7733,] 1.713106e-05 4.150132e-05 #>  [7734,] 1.784960e-05 2.108639e-05 #>  [7735,] 1.041645e-04 1.694371e-04 #>  [7736,] 1.086760e-05 1.024944e-05 #>  [7737,] 1.976212e-05 2.226779e-05 #>  [7738,] 4.871977e-05 3.438682e-05 #>  [7739,] 1.632527e-05 2.032742e-05 #>  [7740,] 2.553825e-05 1.597609e-05 #>  [7741,] 1.083727e-05 1.078411e-05 #>  [7742,] 1.938123e-05 1.228135e-05 #>  [7743,] 1.164029e-05 1.071783e-05 #>  [7744,] 2.356509e-05 1.255037e-05 #>  [7745,] 1.211232e-04 1.855648e-05 #>  [7746,] 1.549334e-05 1.373141e-05 #>  [7747,] 1.249199e-05 1.185367e-05 #>  [7748,] 1.063556e-05 1.001793e-05 #>  [7749,] 1.102896e-05 1.050935e-05 #>  [7750,] 1.408644e-05 1.113269e-05 #>  [7751,] 1.090522e-05 1.030484e-05 #>  [7752,] 1.255399e-05 1.134819e-05 #>  [7753,] 1.471127e-05 1.247437e-05 #>  [7754,] 3.668244e-05 7.281955e-05 #>  [7755,] 7.756460e-05 1.015631e-04 #>  [7756,] 2.843312e-05 4.558307e-05 #>  [7757,] 1.727042e-05 2.439603e-05 #>  [7758,] 3.954146e-05 2.300723e-05 #>  [7759,] 5.071518e-05 4.145761e-05 #>  [7760,] 5.718075e-05 1.252380e-05 #>  [7761,] 4.469387e-05 3.395037e-05 #>  [7762,] 1.460865e-05 1.954967e-05 #>  [7763,] 1.470542e-05 1.351302e-05 #>  [7764,] 1.568134e-05 1.379325e-05 #>  [7765,] 2.461261e-05 1.952783e-05 #>  [7766,] 1.474445e-05 1.264817e-05 #>  [7767,] 1.353500e-04 1.076876e-04 #>  [7768,] 1.317618e-05 1.071780e-05 #>  [7769,] 1.239380e-05 1.134913e-05 #>  [7770,] 1.888431e-05 1.533701e-05 #>  [7771,] 1.435234e-05 2.097207e-05 #>  [7772,] 1.469698e-05 1.094545e-05 #>  [7773,] 2.893482e-05 2.021051e-05 #>  [7774,] 3.768316e-05 3.649981e-05 #>  [7775,] 1.355029e-05 1.044497e-05 #>  [7776,] 1.856372e-05 1.497936e-05 #>  [7777,] 2.947775e-04 7.128766e-05 #>  [7778,] 1.481875e-05 1.176842e-05 #>  [7779,] 1.684883e-05 1.536376e-05 #>  [7780,] 3.237611e-05 4.760827e-05 #>  [7781,] 9.136415e-05 8.344176e-05 #>  [7782,] 1.200996e-05 1.100657e-05 #>  [7783,] 2.176928e-05 1.660042e-05 #>  [7784,] 1.797833e-05 1.976459e-05 #>  [7785,] 1.718565e-05 2.283380e-05 #>  [7786,] 1.439736e-05 1.122989e-05 #>  [7787,] 3.412281e-05 2.890664e-05 #>  [7788,] 1.373147e-05 1.106503e-05 #>  [7789,] 1.888029e-05 1.439466e-05 #>  [7790,] 2.855319e-05 1.809078e-05 #>  [7791,] 1.936754e-04 3.842239e-05 #>  [7792,] 1.214573e-05 1.226852e-05 #>  [7793,] 1.290751e-05 1.246901e-05 #>  [7794,] 1.176179e-05 1.147626e-05 #>  [7795,] 1.340540e-05 1.141171e-05 #>  [7796,] 1.456043e-05 1.258347e-05 #>  [7797,] 1.175301e-05 1.045708e-05 #>  [7798,] 1.225953e-05 1.054187e-05 #>  [7799,] 1.583280e-05 1.225547e-05 #>  [7800,] 1.163644e-05 1.243441e-05 #>  [7801,] 1.146954e-05 1.477422e-05 #>  [7802,] 1.275079e-05 2.375154e-05 #>  [7803,] 1.345779e-05 1.089315e-05 #>  [7804,] 2.110684e-05 1.267015e-05 #>  [7805,] 1.473764e-05 1.287715e-05 #>  [7806,] 2.080693e-05 1.283436e-05 #>  [7807,] 1.222979e-05 1.202434e-05 #>  [7808,] 1.422314e-05 1.264830e-05 #>  [7809,] 2.139712e-05 1.778502e-05 #>  [7810,] 4.556292e-04 1.598935e-04 #>  [7811,] 1.068539e-05 9.185459e-06 #>  [7812,] 1.413930e-05 1.253913e-05 #>  [7813,] 1.573579e-05 1.057950e-05 #>  [7814,] 1.878006e-04 8.791624e-05 #>  [7815,] 1.405085e-05 1.410434e-05 #>  [7816,] 5.218324e-05 7.498265e-05 #>  [7817,] 1.362377e-05 1.220671e-05 #>  [7818,] 1.998072e-05 1.493842e-05 #>  [7819,] 1.731894e-05 1.748156e-05 #>  [7820,] 1.196500e-05 1.087052e-05 #>  [7821,] 1.926236e-05 1.841009e-05 #>  [7822,] 1.404783e-05 1.227525e-05 #>  [7823,] 5.842716e-05 1.196228e-04 #>  [7824,] 1.333502e-05 1.405293e-05 #>  [7825,] 1.418545e-05 1.173995e-05 #>  [7826,] 1.506695e-05 1.527528e-05 #>  [7827,] 4.047162e-05 3.910085e-05 #>  [7828,] 1.294613e-05 1.086796e-05 #>  [7829,] 1.379427e-05 1.143177e-05 #>  [7830,] 2.030751e-05 2.538882e-05 #>  [7831,] 1.517112e-05 1.342998e-05 #>  [7832,] 1.478813e-05 1.275211e-05 #>  [7833,] 2.007824e-05 2.995161e-05 #>  [7834,] 1.614241e-05 1.495991e-05 #>  [7835,] 2.268127e-05 8.162541e-05 #>  [7836,] 1.267457e-05 1.691686e-05 #>  [7837,] 1.971408e-05 1.150351e-05 #>  [7838,] 1.495929e-05 1.374617e-05 #>  [7839,] 1.467185e-05 1.276968e-05 #>  [7840,] 1.410748e-05 1.303493e-05 #>  [7841,] 1.057283e-05 9.053082e-06 #>  [7842,] 1.506277e-05 1.259987e-05 #>  [7843,] 4.312822e-05 2.638018e-05 #>  [7844,] 1.540330e-05 1.641280e-05 #>  [7845,] 1.455219e-05 1.223703e-05 #>  [7846,] 1.127468e-05 9.546425e-06 #>  [7847,] 1.190817e-05 1.013501e-05 #>  [7848,] 1.614515e-05 5.061954e-05 #>  [7849,] 1.111159e-05 9.201235e-06 #>  [7850,] 1.150577e-05 1.024013e-05 #>  [7851,] 1.399870e-05 1.291624e-05 #>  [7852,] 1.226662e-05 1.254696e-05 #>  [7853,] 1.450986e-05 2.348407e-05 #>  [7854,] 1.451057e-05 1.156210e-05 #>  [7855,] 1.327754e-05 1.058159e-05 #>  [7856,] 7.486268e-05 5.221259e-05 #>  [7857,] 1.891979e-05 3.066382e-05 #>  [7858,] 8.373718e-05 1.019169e-04 #>  [7859,] 3.970074e-05 2.329910e-05 #>  [7860,] 1.770547e-05 1.455519e-05 #>  [7861,] 1.526548e-05 1.178327e-05 #>  [7862,] 6.980343e-05 7.355173e-04 #>  [7863,] 1.223872e-05 1.086670e-05 #>  [7864,] 1.405462e-05 1.377983e-05 #>  [7865,] 1.299099e-05 9.732562e-06 #>  [7866,] 5.309133e-05 3.750242e-05 #>  [7867,] 1.874933e-04 1.196410e-04 #>  [7868,] 1.376710e-05 1.081409e-05 #>  [7869,] 3.564762e-05 2.597780e-05 #>  [7870,] 3.739994e-05 1.053598e-04 #>  [7871,] 1.964012e-05 1.990349e-05 #>  [7872,] 3.029295e-05 1.371268e-05 #>  [7873,] 1.781936e-05 1.917294e-05 #>  [7874,] 1.329757e-05 1.186255e-05 #>  [7875,] 2.345388e-05 1.740668e-05 #>  [7876,] 1.464333e-05 1.170226e-05 #>  [7877,] 5.824889e-05 7.346152e-05 #>  [7878,] 1.720089e-05 1.305935e-05 #>  [7879,] 1.761854e-05 1.950410e-05 #>  [7880,] 1.762177e-05 1.477543e-05 #>  [7881,] 1.471296e-05 1.238830e-05 #>  [7882,] 1.344004e-05 1.232020e-05 #>  [7883,] 1.409637e-05 1.207089e-05 #>  [7884,] 5.421715e-05 6.777710e-05 #>  [7885,] 2.995072e-05 1.392896e-05 #>  [7886,] 1.941881e-05 1.233587e-05 #>  [7887,] 1.686729e-05 2.256047e-05 #>  [7888,] 1.154183e-05 1.051885e-05 #>  [7889,] 1.125879e-05 1.083681e-05 #>  [7890,] 5.402602e-05 3.879833e-05 #>  [7891,] 1.214184e-05 1.139015e-05 #>  [7892,] 4.833790e-05 2.457641e-05 #>  [7893,] 1.439972e-05 1.193201e-05 #>  [7894,] 1.456008e-05 1.299543e-05 #>  [7895,] 1.884502e-05 1.393945e-05 #>  [7896,] 7.924428e-05 5.846006e-05 #>  [7897,] 1.870810e-05 1.285455e-05 #>  [7898,] 1.175830e-05 1.010124e-05 #>  [7899,] 1.241245e-05 1.112583e-05 #>  [7900,] 1.394092e-05 1.061783e-05 #>  [7901,] 2.467232e-04 5.311040e-05 #>  [7902,] 1.480087e-05 1.188247e-05 #>  [7903,] 7.088546e-05 9.389721e-05 #>  [7904,] 1.110741e-04 2.113239e-05 #>  [7905,] 2.294412e-05 2.266297e-05 #>  [7906,] 1.710929e-05 1.408691e-05 #>  [7907,] 1.422849e-05 1.532898e-05 #>  [7908,] 1.436042e-05 1.252707e-05 #>  [7909,] 2.323401e-05 1.537122e-04 #>  [7910,] 1.520324e-05 1.586959e-05 #>  [7911,] 5.724762e-05 3.297957e-05 #>  [7912,] 2.269222e-05 1.424035e-05 #>  [7913,] 4.432402e-05 8.675431e-05 #>  [7914,] 1.321243e-05 1.051519e-05 #>  [7915,] 2.290255e-05 1.502939e-05 #>  [7916,] 3.471628e-05 3.768340e-05 #>  [7917,] 1.879637e-04 1.538114e-04 #>  [7918,] 2.034260e-05 2.303901e-05 #>  [7919,] 2.244345e-05 6.307196e-05 #>  [7920,] 1.673955e-05 1.470620e-05 #>  [7921,] 1.935573e-05 1.704161e-05 #>  [7922,] 1.049484e-05 9.920076e-06 #>  [7923,] 1.537705e-05 1.686862e-05 #>  [7924,] 2.383519e-05 1.327595e-05 #>  [7925,] 2.124738e-05 1.577569e-05 #>  [7926,] 4.815430e-05 1.119019e-04 #>  [7927,] 1.356354e-05 1.258211e-05 #>  [7928,] 1.504651e-05 1.418037e-05 #>  [7929,] 2.810802e-05 3.417175e-05 #>  [7930,] 1.205610e-05 1.087244e-05 #>  [7931,] 1.272516e-04 6.102682e-04 #>  [7932,] 1.377991e-05 1.503191e-05 #>  [7933,] 5.489764e-04 2.187753e-04 #>  [7934,] 2.436389e-05 1.214090e-05 #>  [7935,] 1.319364e-05 1.062088e-05 #>  [7936,] 2.074906e-05 1.549809e-05 #>  [7937,] 1.403154e-05 1.410581e-05 #>  [7938,] 1.231351e-05 9.841912e-06 #>  [7939,] 1.684922e-05 1.684048e-05 #>  [7940,] 9.676623e-05 8.892058e-05 #>  [7941,] 1.498193e-05 1.302279e-05 #>  [7942,] 1.635526e-05 1.308700e-05 #>  [7943,] 1.496035e-05 5.107012e-05 #>  [7944,] 2.064141e-04 3.171605e-05 #>  [7945,] 1.121965e-04 8.252017e-05 #>  [7946,] 1.412476e-05 1.037578e-05 #>  [7947,] 1.943397e-04 1.065711e-04 #>  [7948,] 1.513399e-05 1.238888e-05 #>  [7949,] 1.462202e-05 1.512271e-05 #>  [7950,] 6.995333e-05 2.093632e-05 #>  [7951,] 1.251187e-05 1.179393e-05 #>  [7952,] 1.846702e-05 2.158514e-05 #>  [7953,] 1.170456e-05 9.731059e-06 #>  [7954,] 1.227520e-05 1.117027e-05 #>  [7955,] 1.520406e-05 1.277836e-05 #>  [7956,] 4.501784e-05 1.830673e-05 #>  [7957,] 1.766948e-05 1.354406e-05 #>  [7958,] 4.067709e-05 1.188546e-05 #>  [7959,] 1.777069e-05 2.252315e-05 #>  [7960,] 1.691001e-05 1.192804e-05 #>  [7961,] 1.930675e-05 2.076369e-05 #>  [7962,] 1.401055e-05 1.172031e-05 #>  [7963,] 4.976564e-05 1.602309e-05 #>  [7964,] 1.409790e-05 1.169757e-05 #>  [7965,] 2.051325e-05 1.066269e-05 #>  [7966,] 5.299366e-04 2.057365e-04 #>  [7967,] 1.571073e-04 1.648093e-04 #>  [7968,] 1.497061e-05 1.481987e-05 #>  [7969,] 1.821701e-04 1.507972e-05 #>  [7970,] 1.208615e-05 1.029911e-05 #>  [7971,] 1.440016e-05 1.389778e-05 #>  [7972,] 1.397920e-05 1.333464e-05 #>  [7973,] 2.693440e-05 1.217067e-05 #>  [7974,] 1.319098e-05 1.138589e-05 #>  [7975,] 1.427331e-05 1.179040e-05 #>  [7976,] 2.040138e-05 1.521716e-05 #>  [7977,] 1.557264e-05 1.347736e-05 #>  [7978,] 1.395839e-05 1.351572e-05 #>  [7979,] 1.412640e-05 1.187258e-05 #>  [7980,] 1.528542e-05 1.538602e-05 #>  [7981,] 1.294310e-05 1.079048e-05 #>  [7982,] 2.016746e-05 1.343406e-05 #>  [7983,] 1.520829e-05 1.330058e-05 #>  [7984,] 1.457433e-05 1.403582e-05 #>  [7985,] 1.274896e-05 1.055816e-05 #>  [7986,] 7.911596e-05 3.634032e-05 #>  [7987,] 3.649977e-05 2.880680e-05 #>  [7988,] 1.530812e-05 1.382089e-05 #>  [7989,] 1.234457e-04 8.792029e-05 #>  [7990,] 1.393513e-05 1.256144e-05 #>  [7991,] 1.584340e-05 2.478624e-05 #>  [7992,] 5.672850e-05 2.812899e-05 #>  [7993,] 2.440117e-05 1.233854e-05 #>  [7994,] 5.527179e-05 1.181609e-05 #>  [7995,] 2.562407e-05 2.494006e-05 #>  [7996,] 8.114873e-05 3.965465e-04 #>  [7997,] 1.344065e-05 1.050365e-05 #>  [7998,] 1.412079e-05 1.184690e-05 #>  [7999,] 1.646108e-05 2.108244e-05 #>  [8000,] 1.383811e-05 1.090479e-05 #>  [8001,] 1.179122e-05 1.103051e-05 #>  [8002,] 1.386146e-05 1.193183e-05 #>  [8003,] 1.332778e-05 1.159666e-05 #>  [8004,] 1.284516e-05 9.807545e-06 #>  [8005,] 1.103391e-05 9.650908e-06 #>  [8006,] 1.232680e-05 1.016770e-05 #>  [8007,] 1.445753e-05 1.199859e-05 #>  [8008,] 1.387816e-05 1.266335e-05 #>  [8009,] 1.343011e-05 1.142380e-05 #>  [8010,] 1.485096e-05 3.640682e-05 #>  [8011,] 2.101058e-05 1.306866e-05 #>  [8012,] 1.167082e-05 1.046601e-05 #>  [8013,] 1.662906e-05 2.027577e-05 #>  [8014,] 1.396313e-05 1.181735e-05 #>  [8015,] 1.190706e-05 1.043001e-05 #>  [8016,] 1.006680e-04 5.758612e-05 #>  [8017,] 1.186331e-05 1.062033e-05 #>  [8018,] 1.396633e-05 1.191621e-05 #>  [8019,] 1.018146e-05 9.727114e-06 #>  [8020,] 1.143933e-05 1.261393e-05 #>  [8021,] 1.612398e-05 3.012131e-05 #>  [8022,] 9.324210e-05 4.134374e-04 #>  [8023,] 2.368367e-05 7.926010e-05 #>  [8024,] 1.384779e-05 1.185316e-05 #>  [8025,] 2.200280e-05 1.289003e-05 #>  [8026,] 1.088858e-05 1.015824e-05 #>  [8027,] 1.455626e-05 1.334786e-05 #>  [8028,] 1.429431e-05 1.280897e-05 #>  [8029,] 1.449469e-05 1.274009e-05 #>  [8030,] 1.395244e-05 1.131285e-05 #>  [8031,] 1.793201e-05 1.321286e-05 #>  [8032,] 1.171103e-05 1.039607e-05 #>  [8033,] 1.361755e-05 1.272055e-05 #>  [8034,] 1.375545e-05 1.175836e-05 #>  [8035,] 1.387494e-05 1.165673e-05 #>  [8036,] 1.532407e-05 1.212789e-05 #>  [8037,] 1.012340e-05 1.540668e-05 #>  [8038,] 1.132545e-05 1.078760e-05 #>  [8039,] 1.408955e-05 1.113952e-05 #>  [8040,] 1.535194e-05 1.385491e-05 #>  [8041,] 1.184625e-05 1.174112e-05 #>  [8042,] 1.847835e-05 3.084565e-05 #>  [8043,] 2.020339e-05 2.023384e-05 #>  [8044,] 1.456547e-05 1.198935e-05 #>  [8045,] 1.539472e-05 1.225714e-05 #>  [8046,] 1.368029e-05 1.242939e-05 #>  [8047,] 6.167219e-05 1.901650e-05 #>  [8048,] 1.701839e-05 2.165629e-05 #>  [8049,] 9.421161e-04 3.292638e-04 #>  [8050,] 1.246828e-05 1.112582e-05 #>  [8051,] 3.667787e-05 3.959300e-05 #>  [8052,] 1.974484e-04 2.725257e-05 #>  [8053,] 2.024177e-05 6.432747e-05 #>  [8054,] 1.510098e-05 1.707732e-05 #>  [8055,] 5.847301e-05 8.231588e-05 #>  [8056,] 2.371624e-05 3.599910e-05 #>  [8057,] 1.236359e-05 1.181675e-05 #>  [8058,] 1.493958e-05 1.306731e-05 #>  [8059,] 1.086817e-05 1.137992e-05 #>  [8060,] 3.488496e-05 3.539131e-05 #>  [8061,] 1.269963e-05 1.208413e-05 #>  [8062,] 1.401236e-05 1.186968e-05 #>  [8063,] 1.269338e-05 9.857878e-06 #>  [8064,] 1.476870e-05 1.319004e-05 #>  [8065,] 1.450784e-05 1.200694e-05 #>  [8066,] 1.635098e-05 1.376851e-05 #>  [8067,] 2.587187e-05 1.042938e-05 #>  [8068,] 1.455585e-05 1.170670e-05 #>  [8069,] 1.828906e-05 1.327185e-05 #>  [8070,] 1.488806e-05 1.134485e-05 #>  [8071,] 2.583593e-05 1.784529e-05 #>  [8072,] 2.969268e-05 1.458641e-05 #>  [8073,] 3.099020e-05 6.680513e-05 #>  [8074,] 1.178929e-05 1.065624e-05 #>  [8075,] 1.336736e-05 2.922786e-05 #>  [8076,] 2.887616e-05 3.548958e-05 #>  [8077,] 2.116068e-05 1.141926e-05 #>  [8078,] 1.192405e-05 1.338208e-05 #>  [8079,] 1.364348e-05 1.168526e-05 #>  [8080,] 1.555184e-05 1.366188e-05 #>  [8081,] 2.360319e-05 8.760101e-04 #>  [8082,] 1.492248e-05 5.761483e-05 #>  [8083,] 7.966980e-05 2.139797e-05 #>  [8084,] 2.374355e-05 1.733506e-05 #>  [8085,] 1.211718e-05 1.070419e-05 #>  [8086,] 2.134725e-05 1.618698e-05 #>  [8087,] 1.773632e-05 1.312250e-05 #>  [8088,] 5.074188e-05 1.642499e-05 #>  [8089,] 3.978738e-05 2.796013e-05 #>  [8090,] 1.805473e-05 1.555355e-05 #>  [8091,] 1.246186e-05 1.301609e-05 #>  [8092,] 1.362948e-05 1.186990e-05 #>  [8093,] 1.325655e-05 1.074832e-05 #>  [8094,] 1.398845e-05 1.188264e-05 #>  [8095,] 2.059122e-05 1.735342e-05 #>  [8096,] 1.255287e-05 1.166031e-05 #>  [8097,] 1.083329e-05 1.092804e-05 #>  [8098,] 1.152787e-05 1.084415e-05 #>  [8099,] 2.139412e-05 1.986484e-05 #>  [8100,] 1.556455e-05 1.278728e-05 #>  [8101,] 1.650269e-05 1.572480e-05 #>  [8102,] 1.561483e-05 1.346509e-05 #>  [8103,] 1.458922e-05 1.355978e-05 #>  [8104,] 2.102133e-05 1.284520e-05 #>  [8105,] 1.415222e-05 1.276135e-05 #>  [8106,] 1.187330e-05 1.094073e-05 #>  [8107,] 3.515944e-05 1.610654e-04 #>  [8108,] 1.597129e-05 1.313682e-05 #>  [8109,] 1.359282e-05 1.231181e-05 #>  [8110,] 1.221876e-05 1.318204e-05 #>  [8111,] 1.164243e-04 1.620014e-04 #>  [8112,] 2.379195e-05 2.188839e-05 #>  [8113,] 1.385244e-05 1.281722e-05 #>  [8114,] 4.281233e-05 2.055913e-05 #>  [8115,] 1.561921e-05 1.256531e-05 #>  [8116,] 1.508227e-05 1.633256e-05 #>  [8117,] 1.362962e-05 1.085305e-05 #>  [8118,] 1.376918e-05 1.561856e-05 #>  [8119,] 1.021310e-05 1.067588e-05 #>  [8120,] 1.888278e-05 2.619849e-05 #>  [8121,] 1.770918e-04 2.120956e-04 #>  [8122,] 8.172027e-05 7.092973e-05 #>  [8123,] 4.524552e-05 4.735811e-05 #>  [8124,] 6.729370e-05 2.538328e-05 #>  [8125,] 1.201432e-05 1.073885e-05 #>  [8126,] 2.268992e-05 3.269573e-05 #>  [8127,] 5.014579e-05 2.104450e-05 #>  [8128,] 1.434716e-05 1.305602e-05 #>  [8129,] 1.215037e-05 1.025515e-05 #>  [8130,] 1.517704e-05 1.312485e-05 #>  [8131,] 1.278348e-04 1.188911e-04 #>  [8132,] 3.263312e-05 2.604253e-05 #>  [8133,] 1.065642e-05 9.440134e-06 #>  [8134,] 1.918568e-05 1.349037e-05 #>  [8135,] 1.581658e-05 1.894860e-05 #>  [8136,] 1.551475e-05 1.183336e-05 #>  [8137,] 1.528369e-04 5.181385e-04 #>  [8138,] 1.429943e-05 1.248898e-05 #>  [8139,] 2.160441e-05 3.121706e-05 #>  [8140,] 1.094710e-04 1.294104e-04 #>  [8141,] 1.862711e-05 3.046677e-05 #>  [8142,] 1.601268e-05 2.187368e-05 #>  [8143,] 1.550472e-05 1.995961e-05 #>  [8144,] 1.587733e-05 1.449581e-05 #>  [8145,] 1.325299e-05 1.139844e-05 #>  [8146,] 1.022988e-05 1.056114e-05 #>  [8147,] 1.159961e-05 9.022251e-06 #>  [8148,] 1.589968e-05 2.287897e-05 #>  [8149,] 2.297064e-04 2.606295e-05 #>  [8150,] 4.207060e-05 5.953771e-05 #>  [8151,] 6.154807e-05 5.729637e-05 #>  [8152,] 1.462329e-05 2.814355e-05 #>  [8153,] 1.230138e-05 1.158643e-05 #>  [8154,] 1.467424e-05 1.310289e-05 #>  [8155,] 2.162280e-05 1.327745e-05 #>  [8156,] 1.736208e-05 1.137954e-05 #>  [8157,] 1.429658e-05 1.281612e-05 #>  [8158,] 1.423391e-05 1.308154e-05 #>  [8159,] 1.702296e-05 1.208718e-05 #>  [8160,] 1.458058e-05 1.114966e-05 #>  [8161,] 2.800564e-05 4.783788e-05 #>  [8162,] 1.624807e-04 2.554666e-05 #>  [8163,] 3.711056e-05 3.779355e-05 #>  [8164,] 1.682736e-05 1.454150e-05 #>  [8165,] 1.960346e-05 1.873472e-05 #>  [8166,] 1.359471e-05 1.136412e-05 #>  [8167,] 1.322550e-05 1.079576e-05 #>  [8168,] 1.375104e-05 1.138353e-05 #>  [8169,] 1.504784e-05 1.216494e-05 #>  [8170,] 5.826500e-05 3.974630e-05 #>  [8171,] 1.559829e-05 1.407156e-05 #>  [8172,] 1.534402e-05 1.296563e-05 #>  [8173,] 3.507181e-04 2.624262e-04 #>  [8174,] 1.562850e-05 1.352050e-05 #>  [8175,] 1.631051e-05 1.282174e-05 #>  [8176,] 1.323526e-05 1.202744e-05 #>  [8177,] 1.434305e-05 1.147006e-05 #>  [8178,] 1.400232e-05 1.144047e-05 #>  [8179,] 1.748858e-05 1.898195e-05 #>  [8180,] 1.137935e-05 1.082471e-05 #>  [8181,] 1.583865e-04 9.260661e-05 #>  [8182,] 1.691869e-05 1.368611e-05 #>  [8183,] 1.590101e-05 3.155310e-05 #>  [8184,] 1.186605e-05 1.095499e-05 #>  [8185,] 2.156875e-05 1.846754e-05 #>  [8186,] 1.513639e-05 1.293676e-05 #>  [8187,] 7.529149e-05 3.139327e-05 #>  [8188,] 3.153925e-04 1.593961e-04 #>  [8189,] 1.073470e-05 9.966432e-06 #>  [8190,] 1.390725e-05 1.194429e-05 #>  [8191,] 2.556143e-04 4.337763e-04 #>  [8192,] 1.312158e-05 1.397923e-05 #>  [8193,] 1.473340e-05 1.244448e-05 #>  [8194,] 2.463891e-05 6.233235e-05 #>  [8195,] 1.339690e-05 1.234069e-05 #>  [8196,] 1.540547e-05 1.325736e-05 #>  [8197,] 5.873716e-04 8.691756e-04 #>  [8198,] 3.752285e-05 1.868534e-05 #>  [8199,] 1.587631e-05 1.507494e-05 #>  [8200,] 1.522656e-05 1.219781e-05 #>  [8201,] 1.463937e-05 1.178320e-05 #>  [8202,] 1.214991e-05 1.046109e-05 #>  [8203,] 1.791573e-05 1.524832e-05 #>  [8204,] 1.597118e-05 1.490915e-05 #>  [8205,] 8.684381e-05 4.089843e-05 #>  [8206,] 4.773348e-05 1.350029e-05 #>  [8207,] 1.615398e-05 1.259096e-05 #>  [8208,] 1.536830e-05 1.295679e-05 #>  [8209,] 1.705580e-05 1.667021e-05 #>  [8210,] 1.499234e-05 1.012615e-05 #>  [8211,] 1.101370e-05 1.021080e-05 #>  [8212,] 1.277054e-05 1.083235e-05 #>  [8213,] 1.697977e-05 1.304532e-05 #>  [8214,] 1.177069e-05 1.062690e-05 #>  [8215,] 1.277968e-05 1.124699e-05 #>  [8216,] 1.776182e-05 1.662340e-05 #>  [8217,] 1.389328e-05 1.239821e-05 #>  [8218,] 1.374747e-05 1.320622e-05 #>  [8219,] 4.088437e-05 4.933554e-05 #>  [8220,] 1.525489e-05 1.480262e-05 #>  [8221,] 3.576138e-05 1.424180e-05 #>  [8222,] 1.585206e-05 1.730203e-05 #>  [8223,] 3.481935e-05 2.295359e-05 #>  [8224,] 1.431114e-05 1.106385e-05 #>  [8225,] 1.757144e-05 1.558166e-05 #>  [8226,] 1.400413e-05 1.070699e-05 #>  [8227,] 3.723217e-05 1.008317e-05 #>  [8228,] 1.784240e-05 1.341864e-05 #>  [8229,] 2.262725e-05 2.729558e-05 #>  [8230,] 5.792580e-05 1.193838e-04 #>  [8231,] 3.030697e-05 2.633561e-05 #>  [8232,] 1.355188e-05 1.151495e-05 #>  [8233,] 1.794909e-05 1.288530e-05 #>  [8234,] 9.881726e-06 9.868403e-06 #>  [8235,] 1.299087e-05 1.636324e-05 #>  [8236,] 1.296502e-05 1.197724e-05 #>  [8237,] 1.459854e-04 5.790046e-05 #>  [8238,] 1.510480e-05 1.301190e-05 #>  [8239,] 1.249650e-05 1.376023e-05 #>  [8240,] 1.365142e-05 1.226409e-05 #>  [8241,] 1.369484e-05 1.217560e-05 #>  [8242,] 1.278752e-05 1.248191e-05 #>  [8243,] 1.186403e-05 1.100865e-05 #>  [8244,] 2.108201e-05 2.120132e-05 #>  [8245,] 8.759985e-05 6.267764e-05 #>  [8246,] 1.989103e-05 4.378195e-05 #>  [8247,] 6.976381e-05 3.847397e-05 #>  [8248,] 2.325593e-05 4.665653e-05 #>  [8249,] 4.215530e-05 2.138746e-04 #>  [8250,] 1.933720e-05 1.366801e-05 #>  [8251,] 1.555098e-05 1.257252e-05 #>  [8252,] 1.363306e-05 1.184782e-05 #>  [8253,] 1.275197e-05 1.120951e-05 #>  [8254,] 1.402517e-05 1.141119e-05 #>  [8255,] 1.403753e-05 1.148161e-05 #>  [8256,] 1.360496e-05 1.186233e-05 #>  [8257,] 1.416608e-05 3.082957e-05 #>  [8258,] 2.135433e-05 1.690865e-05 #>  [8259,] 1.256060e-05 1.136566e-05 #>  [8260,] 1.663738e-05 1.284214e-05 #>  [8261,] 1.011781e-05 9.678888e-06 #>  [8262,] 1.764866e-05 1.693571e-05 #>  [8263,] 1.318549e-05 1.196754e-05 #>  [8264,] 1.417797e-05 1.188894e-05 #>  [8265,] 1.419107e-05 1.319963e-05 #>  [8266,] 1.256624e-05 1.248539e-05 #>  [8267,] 1.531933e-05 1.233082e-05 #>  [8268,] 1.476222e-05 1.190284e-05 #>  [8269,] 1.327223e-05 1.432594e-05 #>  [8270,] 1.732527e-05 1.597397e-05 #>  [8271,] 7.954540e-05 1.960224e-05 #>  [8272,] 4.423281e-05 1.494564e-05 #>  [8273,] 1.338144e-04 2.475172e-04 #>  [8274,] 1.286510e-05 1.140574e-05 #>  [8275,] 1.686004e-05 1.077481e-04 #>  [8276,] 1.562848e-05 1.512987e-05 #>  [8277,] 1.444662e-05 1.245747e-05 #>  [8278,] 3.030259e-05 3.204570e-05 #>  [8279,] 1.323802e-05 1.229323e-05 #>  [8280,] 3.577991e-05 1.413748e-05 #>  [8281,] 1.485034e-05 1.231298e-05 #>  [8282,] 1.970033e-05 1.408565e-05 #>  [8283,] 9.862071e-05 2.576240e-04 #>  [8284,] 1.552594e-05 1.382719e-05 #>  [8285,] 1.447191e-05 1.192022e-05 #>  [8286,] 1.653239e-04 1.380534e-04 #>  [8287,] 1.487259e-05 1.370269e-05 #>  [8288,] 1.024295e-05 9.569494e-06 #>  [8289,] 1.310406e-05 1.068713e-05 #>  [8290,] 1.400028e-05 1.214684e-05 #>  [8291,] 3.897949e-05 1.905192e-05 #>  [8292,] 1.107194e-05 9.680745e-06 #>  [8293,] 1.406936e-05 1.141980e-05 #>  [8294,] 1.334313e-05 1.135389e-05 #>  [8295,] 1.570432e-05 1.908684e-05 #>  [8296,] 1.635145e-05 1.324307e-05 #>  [8297,] 2.182302e-05 2.044975e-05 #>  [8298,] 1.154572e-05 1.154610e-05 #>  [8299,] 2.251941e-05 7.925943e-05 #>  [8300,] 2.714875e-05 3.704699e-05 #>  [8301,] 1.649620e-05 2.094585e-05 #>  [8302,] 1.301787e-04 1.422239e-04 #>  [8303,] 2.978664e-05 5.107529e-05 #>  [8304,] 1.680069e-05 1.375717e-05 #>  [8305,] 2.359861e-05 2.460609e-05 #>  [8306,] 1.085252e-05 1.061958e-05 #>  [8307,] 1.203670e-05 1.035191e-05 #>  [8308,] 2.982930e-05 1.255317e-05 #>  [8309,] 8.012217e-05 2.357371e-05 #>  [8310,] 5.297646e-04 8.102115e-04 #>  [8311,] 1.185789e-05 1.055627e-05 #>  [8312,] 1.566578e-05 1.502632e-05 #>  [8313,] 5.669247e-05 2.190641e-05 #>  [8314,] 1.553095e-05 3.205459e-05 #>  [8315,] 1.572709e-05 1.514472e-05 #>  [8316,] 1.690494e-05 1.314117e-05 #>  [8317,] 1.126150e-05 1.045977e-05 #>  [8318,] 1.236901e-05 1.077021e-05 #>  [8319,] 1.647035e-05 2.150787e-05 #>  [8320,] 2.976698e-05 1.308846e-05 #>  [8321,] 1.566865e-05 1.410757e-05 #>  [8322,] 1.226859e-05 1.066705e-05 #>  [8323,] 1.164401e-05 1.036610e-05 #>  [8324,] 1.417240e-05 1.185744e-05 #>  [8325,] 1.254416e-05 1.065445e-05 #>  [8326,] 1.428573e-05 1.207013e-05 #>  [8327,] 1.274557e-05 1.729983e-05 #>  [8328,] 1.369142e-05 1.134776e-05 #>  [8329,] 8.616258e-05 3.418929e-05 #>  [8330,] 1.377178e-05 3.433787e-05 #>  [8331,] 1.387914e-05 1.144062e-05 #>  [8332,] 1.269380e-05 1.198431e-05 #>  [8333,] 1.186239e-05 1.118758e-05 #>  [8334,] 1.404185e-05 1.099906e-05 #>  [8335,] 1.341976e-05 1.300397e-05 #>  [8336,] 1.740571e-05 1.093783e-05 #>  [8337,] 8.825788e-04 9.563673e-05 #>  [8338,] 1.250503e-05 1.104995e-05 #>  [8339,] 1.372016e-05 1.270363e-05 #>  [8340,] 1.281481e-05 1.120051e-05 #>  [8341,] 4.158662e-04 1.671219e-04 #>  [8342,] 1.342199e-05 1.137916e-05 #>  [8343,] 1.503144e-05 1.376279e-05 #>  [8344,] 1.434168e-05 1.343051e-05 #>  [8345,] 1.287551e-05 1.123469e-05 #>  [8346,] 3.707398e-05 1.384657e-05 #>  [8347,] 1.219682e-05 1.094392e-05 #>  [8348,] 3.854352e-05 1.575107e-05 #>  [8349,] 1.558966e-05 1.325623e-05 #>  [8350,] 5.769853e-05 1.773233e-05 #>  [8351,] 1.442437e-05 1.296501e-05 #>  [8352,] 1.412128e-05 1.238539e-05 #>  [8353,] 1.671891e-05 1.365784e-05 #>  [8354,] 2.264145e-05 1.678026e-05 #>  [8355,] 2.610515e-05 2.252081e-05 #>  [8356,] 2.841564e-04 1.606308e-04 #>  [8357,] 1.397141e-05 1.908665e-05 #>  [8358,] 1.830571e-05 1.178483e-05 #>  [8359,] 1.445477e-05 1.188744e-05 #>  [8360,] 1.463961e-05 1.405161e-05 #>  [8361,] 8.757202e-05 1.451488e-05 #>  [8362,] 2.990474e-05 1.684594e-05 #>  [8363,] 5.345939e-05 4.648037e-05 #>  [8364,] 1.724285e-05 8.723151e-05 #>  [8365,] 1.232426e-05 1.197339e-05 #>  [8366,] 1.196492e-05 1.209803e-05 #>  [8367,] 4.093959e-04 3.808728e-04 #>  [8368,] 3.654805e-05 1.196168e-05 #>  [8369,] 2.382202e-05 1.678775e-05 #>  [8370,] 1.217380e-05 1.360966e-05 #>  [8371,] 1.231504e-05 1.224635e-05 #>  [8372,] 8.573665e-05 2.996833e-05 #>  [8373,] 2.080981e-05 1.339083e-05 #>  [8374,] 1.329656e-05 1.094088e-05 #>  [8375,] 1.537351e-05 1.558297e-05 #>  [8376,] 1.375482e-05 1.282806e-05 #>  [8377,] 1.197734e-05 1.172948e-05 #>  [8378,] 1.141721e-04 2.394067e-04 #>  [8379,] 1.597376e-05 1.349820e-05 #>  [8380,] 2.030558e-05 2.939347e-05 #>  [8381,] 1.530468e-05 1.111557e-05 #>  [8382,] 1.483541e-05 1.312119e-05 #>  [8383,] 1.243785e-05 2.290935e-05 #>  [8384,] 2.822373e-05 1.208021e-05 #>  [8385,] 5.897087e-05 6.308002e-05 #>  [8386,] 4.579897e-04 1.697999e-04 #>  [8387,] 2.989142e-05 3.992171e-05 #>  [8388,] 1.070801e-05 9.587708e-06 #>  [8389,] 1.127950e-05 1.125652e-05 #>  [8390,] 1.393796e-05 1.232903e-05 #>  [8391,] 1.136077e-05 1.046863e-05 #>  [8392,] 1.159079e-05 1.083370e-05 #>  [8393,] 1.290630e-05 1.188904e-05 #>  [8394,] 1.488613e-05 1.191821e-05 #>  [8395,] 1.425827e-05 1.230128e-05 #>  [8396,] 1.709895e-05 1.738859e-05 #>  [8397,] 1.905721e-05 1.599304e-05 #>  [8398,] 1.419484e-05 1.752539e-05 #>  [8399,] 1.407872e-05 1.308726e-05 #>  [8400,] 1.369830e-05 1.276609e-05 #>  [8401,] 2.207395e-05 2.873005e-05 #>  [8402,] 6.091882e-05 8.879959e-05 #>  [8403,] 2.356428e-05 3.090382e-05 #>  [8404,] 6.307521e-05 2.012801e-05 #>  [8405,] 2.114351e-04 2.581308e-05 #>  [8406,] 1.250033e-05 1.218651e-05 #>  [8407,] 1.715128e-05 1.428431e-05 #>  [8408,] 1.282315e-05 1.103159e-05 #>  [8409,] 1.300099e-05 1.168449e-05 #>  [8410,] 3.328285e-05 1.148332e-05 #>  [8411,] 1.826822e-05 1.316114e-05 #>  [8412,] 1.543207e-05 1.122209e-05 #>  [8413,] 2.414913e-05 2.033295e-05 #>  [8414,] 1.886423e-05 2.510162e-05 #>  [8415,] 5.428791e-05 1.936401e-05 #>  [8416,] 1.579702e-05 1.292988e-05 #>  [8417,] 2.676416e-05 2.153988e-05 #>  [8418,] 2.904202e-05 3.538673e-05 #>  [8419,] 6.441801e-05 1.508815e-05 #>  [8420,] 1.257082e-05 1.148595e-05 #>  [8421,] 3.307202e-05 1.583096e-05 #>  [8422,] 6.478163e-05 3.573170e-05 #>  [8423,] 1.616193e-05 1.450264e-05 #>  [8424,] 1.303282e-05 1.319741e-05 #>  [8425,] 1.479775e-05 1.229134e-05 #>  [8426,] 7.553753e-05 2.134953e-05 #>  [8427,] 2.583349e-04 1.706819e-04 #>  [8428,] 1.522448e-05 1.201119e-05 #>  [8429,] 1.479240e-04 6.065486e-05 #>  [8430,] 1.535330e-05 1.436382e-05 #>  [8431,] 1.449891e-05 1.305819e-05 #>  [8432,] 1.210336e-04 2.618002e-05 #>  [8433,] 2.195802e-05 1.924143e-05 #>  [8434,] 1.465473e-05 1.213139e-05 #>  [8435,] 1.416781e-05 1.113524e-05 #>  [8436,] 1.460023e-05 1.251741e-05 #>  [8437,] 1.422344e-05 1.213248e-05 #>  [8438,] 1.244377e-05 1.040728e-05 #>  [8439,] 4.411426e-05 1.389154e-05 #>  [8440,] 1.700755e-05 1.420910e-05 #>  [8441,] 9.300500e-04 1.079582e-04 #>  [8442,] 1.630804e-05 1.367872e-05 #>  [8443,] 4.139126e-05 3.782013e-05 #>  [8444,] 1.661431e-05 2.012321e-05 #>  [8445,] 1.379259e-05 1.121584e-05 #>  [8446,] 2.807312e-05 1.561025e-05 #>  [8447,] 1.993008e-05 2.120773e-05 #>  [8448,] 1.516138e-05 1.290245e-05 #>  [8449,] 1.264423e-05 1.162807e-05 #>  [8450,] 3.248771e-05 1.492583e-05 #>  [8451,] 3.567813e-05 1.416943e-05 #>  [8452,] 1.377801e-05 1.338543e-05 #>  [8453,] 1.978096e-05 1.853343e-05 #>  [8454,] 1.475403e-05 1.329641e-05 #>  [8455,] 4.435591e-05 2.456588e-05 #>  [8456,] 2.774603e-05 1.424627e-04 #>  [8457,] 4.590746e-05 2.490348e-05 #>  [8458,] 2.908121e-05 1.691864e-05 #>  [8459,] 1.325853e-05 1.105492e-05 #>  [8460,] 1.377779e-05 1.126996e-05 #>  [8461,] 1.404444e-05 1.106438e-05 #>  [8462,] 1.566281e-05 1.327579e-05 #>  [8463,] 1.704264e-05 1.371029e-05 #>  [8464,] 2.604286e-05 4.513983e-05 #>  [8465,] 1.107360e-05 1.066267e-05 #>  [8466,] 1.230788e-05 1.198782e-05 #>  [8467,] 2.658596e-04 7.814989e-05 #>  [8468,] 1.691137e-05 2.633251e-05 #>  [8469,] 1.441900e-05 2.517715e-05 #>  [8470,] 1.800281e-05 1.583151e-05 #>  [8471,] 1.285460e-05 1.035585e-05 #>  [8472,] 2.652096e-05 1.437569e-05 #>  [8473,] 4.727353e-05 8.571613e-05 #>  [8474,] 9.765179e-05 1.040355e-04 #>  [8475,] 1.276274e-05 1.372686e-05 #>  [8476,] 3.671328e-05 8.155282e-05 #>  [8477,] 1.370699e-05 1.173770e-05 #>  [8478,] 1.068009e-05 1.042203e-05 #>  [8479,] 4.244106e-05 1.351074e-05 #>  [8480,] 1.329090e-05 1.144234e-05 #>  [8481,] 1.505045e-05 1.274133e-05 #>  [8482,] 1.496287e-05 2.919118e-05 #>  [8483,] 1.129820e-05 1.193234e-05 #>  [8484,] 2.368573e-05 3.247813e-05 #>  [8485,] 1.473701e-05 1.205031e-05 #>  [8486,] 1.414908e-05 1.291714e-05 #>  [8487,] 1.181637e-05 1.165136e-05 #>  [8488,] 1.240456e-05 1.088505e-05 #>  [8489,] 1.610093e-05 2.888689e-05 #>  [8490,] 1.353401e-05 1.148517e-05 #>  [8491,] 1.323997e-05 1.500003e-05 #>  [8492,] 2.670048e-04 3.112044e-05 #>  [8493,] 2.139736e-05 1.584352e-05 #>  [8494,] 1.647461e-05 1.562901e-05 #>  [8495,] 3.748461e-05 2.911616e-05 #>  [8496,] 2.073734e-05 2.712109e-05 #>  [8497,] 2.116384e-05 1.869287e-05 #>  [8498,] 1.185253e-05 1.201465e-05 #>  [8499,] 1.159274e-04 6.913306e-05 #>  [8500,] 1.289979e-05 1.146941e-05 #>  [8501,] 1.839614e-05 1.872533e-05 #>  [8502,] 5.082339e-05 1.028889e-04 #>  [8503,] 1.444884e-05 1.125291e-05 #>  [8504,] 3.031916e-05 1.640047e-05 #>  [8505,] 3.268023e-05 1.899143e-05 #>  [8506,] 4.757803e-05 4.309758e-05 #>  [8507,] 1.377378e-04 2.554381e-04 #>  [8508,] 1.381970e-05 1.154985e-05 #>  [8509,] 2.346181e-05 5.411703e-05 #>  [8510,] 1.454347e-05 1.326458e-05 #>  [8511,] 2.524725e-05 1.355506e-05 #>  [8512,] 6.036003e-05 1.133015e-04 #>  [8513,] 1.302140e-05 1.190066e-05 #>  [8514,] 1.178096e-05 1.040119e-05 #>  [8515,] 2.039575e-05 6.210040e-05 #>  [8516,] 1.581173e-05 1.740135e-05 #>  [8517,] 1.128840e-05 1.111207e-05 #>  [8518,] 1.822013e-05 1.219699e-05 #>  [8519,] 2.026990e-05 1.565886e-05 #>  [8520,] 1.166981e-05 9.958759e-06 #>  [8521,] 1.909562e-05 1.819379e-05 #>  [8522,] 1.284096e-05 1.161679e-05 #>  [8523,] 1.402683e-05 1.234754e-05 #>  [8524,] 1.196402e-05 1.210248e-05 #>  [8525,] 4.056312e-05 1.801126e-05 #>  [8526,] 1.736653e-05 1.212803e-05 #>  [8527,] 3.899242e-05 3.290353e-05 #>  [8528,] 1.531833e-05 1.397143e-05 #>  [8529,] 1.373397e-05 1.466733e-05 #>  [8530,] 1.776387e-05 1.132111e-05 #>  [8531,] 1.153894e-05 1.029660e-05 #>  [8532,] 1.327661e-05 1.710137e-05 #>  [8533,] 1.759810e-05 1.148141e-05 #>  [8534,] 1.434091e-05 1.475135e-05 #>  [8535,] 1.554266e-05 1.152132e-05 #>  [8536,] 2.126788e-05 1.672077e-05 #>  [8537,] 1.363741e-05 1.157978e-05 #>  [8538,] 1.448384e-05 1.307009e-05 #>  [8539,] 1.417852e-05 1.401045e-05 #>  [8540,] 1.470356e-05 1.858983e-05 #>  [8541,] 2.202229e-05 1.134298e-05 #>  [8542,] 1.936442e-05 2.486966e-05 #>  [8543,] 4.927315e-05 1.336972e-05 #>  [8544,] 2.046742e-05 4.743509e-04 #>  [8545,] 1.489181e-05 1.475362e-05 #>  [8546,] 3.292274e-05 1.226305e-05 #>  [8547,] 5.346752e-05 6.668132e-05 #>  [8548,] 2.293289e-05 2.124834e-05 #>  [8549,] 1.468056e-05 1.215879e-05 #>  [8550,] 1.255943e-05 1.050923e-05 #>  [8551,] 1.544244e-05 1.285877e-05 #>  [8552,] 1.693787e-05 1.654284e-05 #>  [8553,] 1.803587e-05 1.444852e-05 #>  [8554,] 1.966991e-04 7.614443e-04 #>  [8555,] 1.469629e-04 2.303881e-04 #>  [8556,] 1.146008e-05 1.143222e-05 #>  [8557,] 1.568277e-05 1.214349e-05 #>  [8558,] 1.295086e-05 1.168016e-05 #>  [8559,] 4.469032e-05 1.710359e-05 #>  [8560,] 4.041443e-05 1.762067e-05 #>  [8561,] 2.080501e-05 2.048500e-05 #>  [8562,] 2.362669e-05 1.643843e-05 #>  [8563,] 1.251069e-05 1.165473e-05 #>  [8564,] 1.253909e-05 1.092777e-05 #>  [8565,] 1.641165e-05 1.404714e-05 #>  [8566,] 1.548707e-05 1.358199e-05 #>  [8567,] 3.015160e-05 1.465043e-05 #>  [8568,] 5.727050e-05 2.774655e-05 #>  [8569,] 7.842172e-04 9.965192e-04 #>  [8570,] 1.398515e-05 1.662078e-05 #>  [8571,] 4.759947e-05 3.132892e-05 #>  [8572,] 1.734708e-05 1.622386e-05 #>  [8573,] 5.274412e-05 2.644924e-05 #>  [8574,] 1.488383e-05 1.480809e-05 #>  [8575,] 1.644885e-05 1.607390e-05 #>  [8576,] 2.110166e-04 8.201380e-04 #>  [8577,] 1.337501e-05 1.160479e-05 #>  [8578,] 1.289397e-05 1.118212e-05 #>  [8579,] 1.466991e-05 1.303439e-05 #>  [8580,] 8.502027e-05 2.216198e-04 #>  [8581,] 1.471600e-05 1.219503e-05 #>  [8582,] 5.657756e-05 2.588116e-05 #>  [8583,] 1.852944e-05 1.317880e-05 #>  [8584,] 2.625738e-05 1.295412e-05 #>  [8585,] 5.076915e-05 6.987853e-05 #>  [8586,] 2.835097e-05 3.407638e-05 #>  [8587,] 2.686237e-05 1.663000e-05 #>  [8588,] 1.624407e-05 1.965895e-05 #>  [8589,] 7.071195e-05 4.044699e-05 #>  [8590,] 1.309783e-05 1.118464e-05 #>  [8591,] 1.189559e-05 1.033560e-05 #>  [8592,] 1.364436e-05 1.134734e-05 #>  [8593,] 1.816488e-05 1.545611e-05 #>  [8594,] 1.500415e-05 1.706883e-05 #>  [8595,] 2.256950e-05 1.774996e-05 #>  [8596,] 1.395829e-05 1.157124e-05 #>  [8597,] 1.028970e-03 9.903542e-04 #>  [8598,] 3.249603e-05 7.099053e-05 #>  [8599,] 1.414274e-05 1.119678e-05 #>  [8600,] 1.378818e-05 1.193980e-05 #>  [8601,] 1.273100e-05 1.107156e-05 #>  [8602,] 2.269720e-05 2.065100e-05 #>  [8603,] 1.723294e-05 2.077677e-05 #>  [8604,] 6.197544e-05 8.491671e-05 #>  [8605,] 1.613397e-05 1.363076e-05 #>  [8606,] 1.387361e-05 1.086970e-05 #>  [8607,] 1.623164e-05 1.266309e-05 #>  [8608,] 6.408880e-05 7.828241e-05 #>  [8609,] 1.248242e-05 1.080657e-05 #>  [8610,] 3.324985e-04 9.651156e-05 #>  [8611,] 1.876077e-05 1.807450e-05 #>  [8612,] 1.284215e-05 1.620902e-05 #>  [8613,] 1.510813e-05 1.244825e-05 #>  [8614,] 1.286977e-05 1.290840e-05 #>  [8615,] 5.030313e-05 1.226736e-04 #>  [8616,] 1.249854e-05 1.006806e-05 #>  [8617,] 1.446339e-05 1.162669e-05 #>  [8618,] 1.299142e-05 2.489089e-05 #>  [8619,] 1.549553e-05 4.535382e-05 #>  [8620,] 1.335079e-05 1.457786e-05 #>  [8621,] 1.721725e-05 1.476120e-05 #>  [8622,] 1.340141e-05 1.239165e-05 #>  [8623,] 5.848162e-05 1.222843e-05 #>  [8624,] 1.221306e-05 1.152926e-05 #>  [8625,] 1.957057e-05 1.966338e-05 #>  [8626,] 1.565453e-05 1.291935e-05 #>  [8627,] 1.851765e-05 1.199973e-05 #>  [8628,] 5.161293e-05 2.583110e-05 #>  [8629,] 2.505467e-05 6.891638e-05 #>  [8630,] 1.543391e-05 2.526833e-05 #>  [8631,] 1.496130e-05 1.324551e-05 #>  [8632,] 3.496225e-05 6.270468e-05 #>  [8633,] 1.639480e-05 1.314280e-05 #>  [8634,] 9.970684e-06 1.192149e-05 #>  [8635,] 1.454438e-05 1.675680e-05 #>  [8636,] 2.669943e-05 2.222370e-05 #>  [8637,] 1.458560e-04 5.090018e-05 #>  [8638,] 1.293838e-05 1.180790e-05 #>  [8639,] 1.474967e-05 1.572422e-05 #>  [8640,] 1.540672e-05 1.349947e-05 #>  [8641,] 1.041006e-05 1.165533e-05 #>  [8642,] 1.425845e-05 1.285590e-05 #>  [8643,] 2.356123e-04 1.257496e-04 #>  [8644,] 8.328895e-05 1.866318e-04 #>  [8645,] 1.662019e-04 4.420661e-05 #>  [8646,] 1.425241e-05 1.273024e-05 #>  [8647,] 2.378132e-05 1.951429e-05 #>  [8648,] 3.034872e-05 1.726344e-05 #>  [8649,] 3.117937e-04 1.397533e-04 #>  [8650,] 1.376882e-05 1.226962e-05 #>  [8651,] 1.260362e-05 4.641350e-05 #>  [8652,] 3.591669e-05 4.927339e-05 #>  [8653,] 1.449543e-05 1.459481e-05 #>  [8654,] 1.260230e-05 1.337504e-05 #>  [8655,] 1.403944e-05 1.283753e-05 #>  [8656,] 1.317244e-05 1.023191e-05 #>  [8657,] 2.751159e-05 1.554426e-05 #>  [8658,] 1.951736e-05 1.971783e-05 #>  [8659,] 1.444273e-05 1.502414e-05 #>  [8660,] 2.526523e-04 2.091799e-04 #>  [8661,] 1.234062e-05 1.138318e-05 #>  [8662,] 2.036968e-05 1.437494e-05 #>  [8663,] 7.047256e-05 2.584702e-04 #>  [8664,] 2.165928e-05 2.196767e-05 #>  [8665,] 2.315037e-05 1.608616e-05 #>  [8666,] 1.694370e-04 1.944595e-04 #>  [8667,] 7.753324e-05 1.120475e-04 #>  [8668,] 1.354542e-05 1.573013e-05 #>  [8669,] 1.363710e-05 1.441639e-05 #>  [8670,] 2.026492e-05 1.807154e-05 #>  [8671,] 5.530708e-05 2.907391e-04 #>  [8672,] 1.779928e-05 1.792848e-05 #>  [8673,] 2.548582e-05 3.631192e-05 #>  [8674,] 2.037650e-05 1.867876e-05 #>  [8675,] 2.967955e-05 4.067965e-05 #>  [8676,] 1.673894e-05 5.487803e-05 #>  [8677,] 1.660581e-05 1.076441e-05 #>  [8678,] 1.538100e-05 1.272346e-05 #>  [8679,] 1.162596e-05 9.955646e-06 #>  [8680,] 1.531168e-05 1.303236e-05 #>  [8681,] 1.124421e-05 1.170144e-05 #>  [8682,] 1.447758e-05 1.571432e-05 #>  [8683,] 1.465361e-05 1.299740e-05 #>  [8684,] 1.356791e-05 1.356776e-05 #>  [8685,] 2.667250e-05 2.159373e-05 #>  [8686,] 1.390397e-05 1.113882e-05 #>  [8687,] 1.247286e-05 1.276760e-05 #>  [8688,] 1.502803e-05 1.264024e-05 #>  [8689,] 1.695963e-05 1.706329e-05 #>  [8690,] 1.585547e-05 1.451734e-05 #>  [8691,] 6.091278e-05 2.742572e-05 #>  [8692,] 2.035343e-05 1.787141e-05 #>  [8693,] 5.238782e-04 6.784414e-04 #>  [8694,] 4.848483e-04 1.842722e-04 #>  [8695,] 6.369940e-04 6.684406e-04 #>  [8696,] 1.603891e-05 1.711109e-05 #>  [8697,] 5.031082e-05 1.658806e-05 #>  [8698,] 1.429825e-05 1.293294e-05 #>  [8699,] 1.585187e-05 1.178572e-05 #>  [8700,] 1.232726e-04 2.729212e-04 #>  [8701,] 1.288484e-05 1.296688e-05 #>  [8702,] 1.786481e-05 2.006364e-05 #>  [8703,] 1.282470e-05 9.375921e-06 #>  [8704,] 1.930663e-05 1.839644e-05 #>  [8705,] 1.295992e-05 1.725167e-05 #>  [8706,] 1.624199e-05 1.454484e-05 #>  [8707,] 1.114359e-05 1.014747e-05 #>  [8708,] 1.596775e-05 1.217339e-05 #>  [8709,] 1.535032e-05 1.247836e-05 #>  [8710,] 1.298585e-05 1.151202e-05 #>  [8711,] 5.819043e-05 1.764153e-05 #>  [8712,] 1.363654e-05 1.087689e-05 #>  [8713,] 3.398242e-05 2.592338e-05 #>  [8714,] 2.063403e-05 1.180251e-05 #>  [8715,] 3.515623e-05 3.587817e-05 #>  [8716,] 1.474403e-05 1.249964e-05 #>  [8717,] 5.398162e-05 1.621798e-05 #>  [8718,] 2.087182e-05 1.733344e-05 #>  [8719,] 1.310076e-05 9.609686e-06 #>  [8720,] 1.538773e-05 1.363136e-05 #>  [8721,] 2.258138e-05 1.567324e-05 #>  [8722,] 1.469746e-05 1.956073e-05 #>  [8723,] 1.649398e-05 1.541419e-05 #>  [8724,] 1.518322e-05 1.118733e-05 #>  [8725,] 1.556473e-05 2.557751e-05 #>  [8726,] 7.257445e-05 3.332108e-05 #>  [8727,] 4.735770e-05 4.222657e-05 #>  [8728,] 1.329920e-05 1.224527e-05 #>  [8729,] 4.016629e-05 1.685382e-05 #>  [8730,] 2.391637e-05 4.816497e-05 #>  [8731,] 2.911149e-05 3.035649e-04 #>  [8732,] 1.760562e-05 2.158533e-05 #>  [8733,] 2.083825e-05 2.258918e-05 #>  [8734,] 1.978922e-05 2.848724e-05 #>  [8735,] 1.335519e-05 1.189486e-05 #>  [8736,] 1.872739e-05 1.435672e-05 #>  [8737,] 1.435036e-05 1.935362e-05 #>  [8738,] 1.240232e-05 1.005286e-05 #>  [8739,] 1.311846e-05 1.081585e-05 #>  [8740,] 1.270626e-05 1.277787e-05 #>  [8741,] 1.403859e-05 1.236003e-05 #>  [8742,] 2.400284e-05 1.803038e-05 #>  [8743,] 4.858470e-05 8.493062e-05 #>  [8744,] 1.578738e-05 1.890696e-05 #>  [8745,] 2.420297e-05 1.326960e-05 #>  [8746,] 1.355056e-04 8.396743e-05 #>  [8747,] 2.731414e-05 2.485484e-05 #>  [8748,] 6.161302e-05 4.980818e-04 #>  [8749,] 2.683588e-05 8.701251e-04 #>  [8750,] 8.307184e-05 3.008822e-05 #>  [8751,] 2.744695e-05 5.233193e-05 #>  [8752,] 1.513713e-05 1.484559e-05 #>  [8753,] 6.112116e-05 4.751840e-05 #>  [8754,] 1.102104e-05 1.182008e-05 #>  [8755,] 1.424932e-05 1.940700e-05 #>  [8756,] 2.301414e-05 4.162851e-05 #>  [8757,] 3.031561e-05 3.270624e-05 #>  [8758,] 1.162016e-05 1.161549e-05 #>  [8759,] 1.379978e-05 1.117513e-05 #>  [8760,] 3.462609e-05 6.738920e-05 #>  [8761,] 3.492762e-05 3.584143e-05 #>  [8762,] 1.410127e-05 1.404568e-05 #>  [8763,] 1.766581e-05 1.093443e-05 #>  [8764,] 1.156732e-05 1.130486e-05 #>  [8765,] 4.397924e-05 3.285993e-05 #>  [8766,] 2.168130e-05 2.531521e-05 #>  [8767,] 1.009024e-04 5.568574e-04 #>  [8768,] 9.935730e-06 9.488343e-06 #>  [8769,] 1.365835e-05 1.167875e-05 #>  [8770,] 1.548879e-05 1.533576e-05 #>  [8771,] 6.391926e-05 1.069077e-04 #>  [8772,] 1.643557e-05 1.351818e-05 #>  [8773,] 8.462105e-05 5.195604e-05 #>  [8774,] 1.546850e-05 1.142526e-05 #>  [8775,] 6.498276e-05 1.554585e-05 #>  [8776,] 1.423770e-05 1.130433e-05 #>  [8777,] 1.833183e-05 3.660250e-05 #>  [8778,] 2.345215e-05 2.921220e-05 #>  [8779,] 1.240771e-05 2.140654e-05 #>  [8780,] 1.688105e-05 1.342689e-05 #>  [8781,] 2.032795e-05 1.108258e-05 #>  [8782,] 1.634019e-05 1.299365e-05 #>  [8783,] 1.532714e-05 1.401894e-05 #>  [8784,] 1.397264e-05 1.698343e-05 #>  [8785,] 1.540787e-05 1.201689e-05 #>  [8786,] 1.162275e-05 1.134603e-05 #>  [8787,] 2.138964e-05 2.234511e-05 #>  [8788,] 1.147988e-05 1.264146e-05 #>  [8789,] 1.199775e-05 1.068556e-05 #>  [8790,] 1.425770e-05 1.194415e-05 #>  [8791,] 1.372499e-05 1.414374e-05 #>  [8792,] 1.105653e-05 1.415174e-05 #>  [8793,] 4.586359e-05 7.141308e-05 #>  [8794,] 1.236342e-05 1.063616e-05 #>  [8795,] 1.351132e-05 1.110383e-05 #>  [8796,] 1.805543e-05 1.314989e-05 #>  [8797,] 1.246079e-05 1.478607e-05 #>  [8798,] 1.495372e-05 1.377049e-05 #>  [8799,] 1.614459e-05 1.596420e-05 #>  [8800,] 1.660090e-05 1.391706e-05 #>  [8801,] 1.581108e-05 1.568140e-05 #>  [8802,] 1.503930e-05 1.380692e-05 #>  [8803,] 1.156893e-05 1.060843e-05 #>  [8804,] 2.493014e-05 1.397951e-05 #>  [8805,] 1.342293e-05 1.032581e-05 #>  [8806,] 1.363311e-05 1.254262e-05 #>  [8807,] 1.621884e-05 1.725741e-05 #>  [8808,] 1.459837e-05 1.259480e-05 #>  [8809,] 1.814414e-05 2.759333e-05 #>  [8810,] 1.113527e-05 1.035718e-05 #>  [8811,] 1.296104e-05 1.050261e-05 #>  [8812,] 3.503793e-05 6.654561e-05 #>  [8813,] 2.166112e-05 1.784968e-05 #>  [8814,] 1.314224e-05 1.076320e-05 #>  [8815,] 1.169077e-03 1.069240e-04 #>  [8816,] 1.598386e-05 1.468972e-05 #>  [8817,] 2.291650e-05 1.498852e-05 #>  [8818,] 1.739271e-05 2.256240e-05 #>  [8819,] 1.580823e-05 1.424417e-05 #>  [8820,] 1.341555e-05 1.183596e-05 #>  [8821,] 1.575665e-05 1.671814e-05 #>  [8822,] 1.667020e-05 1.817643e-05 #>  [8823,] 1.677399e-05 1.205810e-05 #>  [8824,] 1.542954e-05 1.349762e-05 #>  [8825,] 1.573589e-05 1.449175e-05 #>  [8826,] 1.353825e-05 1.912891e-05 #>  [8827,] 1.097172e-05 1.065083e-05 #>  [8828,] 1.273817e-05 1.150508e-05 #>  [8829,] 1.332168e-05 1.076127e-05 #>  [8830,] 1.388000e-05 2.123794e-05 #>  [8831,] 1.273477e-05 1.139482e-05 #>  [8832,] 1.339171e-05 1.201736e-05 #>  [8833,] 1.324412e-05 1.781881e-05 #>  [8834,] 1.622514e-05 1.398529e-05 #>  [8835,] 1.271364e-05 1.108140e-05 #>  [8836,] 6.778263e-05 3.476768e-05 #>  [8837,] 1.037027e-03 4.157254e-04 #>  [8838,] 1.149469e-05 9.921252e-06 #>  [8839,] 1.489762e-05 1.335800e-05 #>  [8840,] 9.000589e-05 7.247446e-05 #>  [8841,] 1.458666e-05 1.246692e-05 #>  [8842,] 1.740153e-05 5.238444e-05 #>  [8843,] 1.107074e-05 1.049883e-05 #>  [8844,] 1.741102e-05 2.171397e-05 #>  [8845,] 1.143539e-05 1.056425e-05 #>  [8846,] 1.479074e-05 1.559396e-05 #>  [8847,] 1.422475e-05 1.200100e-05 #>  [8848,] 1.430260e-05 1.257948e-05 #>  [8849,] 9.201864e-05 2.691262e-05 #>  [8850,] 1.223083e-05 1.175820e-05 #>  [8851,] 2.495011e-05 1.644595e-05 #>  [8852,] 9.419980e-04 8.393455e-04 #>  [8853,] 1.368350e-05 1.218204e-05 #>  [8854,] 1.272974e-05 1.092096e-05 #>  [8855,] 1.092457e-05 9.425302e-06 #>  [8856,] 1.764964e-05 1.863896e-05 #>  [8857,] 9.305252e-05 3.287490e-05 #>  [8858,] 1.594646e-05 1.522067e-05 #>  [8859,] 1.785594e-04 6.403394e-05 #>  [8860,] 2.854028e-05 1.975316e-05 #>  [8861,] 2.573093e-04 1.101673e-04 #>  [8862,] 1.442835e-05 1.310165e-05 #>  [8863,] 1.821658e-05 1.304741e-05 #>  [8864,] 1.084935e-05 9.681290e-06 #>  [8865,] 1.472982e-05 1.410676e-05 #>  [8866,] 1.476662e-05 1.138889e-05 #>  [8867,] 1.468511e-05 1.199974e-05 #>  [8868,] 5.667303e-05 8.233479e-05 #>  [8869,] 6.254100e-05 2.152917e-04 #>  [8870,] 3.011871e-05 5.255823e-05 #>  [8871,] 1.765131e-05 2.371436e-05 #>  [8872,] 3.752964e-05 2.484898e-05 #>  [8873,] 4.072060e-05 6.436782e-05 #>  [8874,] 1.438114e-05 1.261265e-05 #>  [8875,] 2.986326e-05 2.441623e-05 #>  [8876,] 1.442656e-05 6.661597e-05 #>  [8877,] 1.321351e-05 1.126058e-05 #>  [8878,] 1.833055e-05 1.186212e-05 #>  [8879,] 1.161360e-05 1.078569e-05 #>  [8880,] 1.411274e-05 1.237643e-05 #>  [8881,] 2.233441e-05 2.129652e-05 #>  [8882,] 4.107231e-04 7.411241e-05 #>  [8883,] 2.430858e-05 3.036472e-05 #>  [8884,] 1.490100e-05 1.161579e-05 #>  [8885,] 1.509688e-05 1.786733e-05 #>  [8886,] 1.194373e-05 1.019800e-05 #>  [8887,] 1.171549e-05 1.904889e-05 #>  [8888,] 2.385124e-05 3.078518e-05 #>  [8889,] 1.177282e-05 1.632410e-05 #>  [8890,] 1.202652e-05 1.059331e-05 #>  [8891,] 4.892741e-05 2.579326e-05 #>  [8892,] 2.135764e-05 1.342129e-05 #>  [8893,] 2.505257e-05 2.206841e-05 #>  [8894,] 1.344014e-05 1.194649e-05 #>  [8895,] 2.904919e-05 4.731829e-05 #>  [8896,] 6.238741e-05 3.287444e-05 #>  [8897,] 1.966267e-05 1.517750e-05 #>  [8898,] 3.169830e-05 2.239228e-05 #>  [8899,] 1.586594e-05 1.309823e-05 #>  [8900,] 1.297095e-05 1.701861e-05 #>  [8901,] 1.415873e-05 1.159491e-05 #>  [8902,] 1.362104e-05 1.112508e-05 #>  [8903,] 1.518484e-05 2.703372e-05 #>  [8904,] 1.268403e-05 1.103382e-05 #>  [8905,] 1.493762e-05 1.240591e-05 #>  [8906,] 1.791797e-05 2.119918e-05 #>  [8907,] 1.209830e-05 1.139830e-05 #>  [8908,] 4.342860e-05 7.716683e-05 #>  [8909,] 1.384916e-05 1.203667e-05 #>  [8910,] 1.244771e-05 1.223169e-05 #>  [8911,] 1.468833e-05 1.270751e-05 #>  [8912,] 6.429437e-05 5.743268e-05 #>  [8913,] 3.406357e-05 1.460000e-05 #>  [8914,] 1.584064e-05 1.409490e-05 #>  [8915,] 6.002704e-05 1.288218e-05 #>  [8916,] 1.352933e-05 1.119513e-05 #>  [8917,] 1.665174e-05 1.429213e-05 #>  [8918,] 1.307674e-05 1.545308e-05 #>  [8919,] 2.141722e-05 1.111924e-05 #>  [8920,] 4.776923e-05 2.976415e-05 #>  [8921,] 4.080700e-05 1.392661e-05 #>  [8922,] 2.378471e-05 1.350087e-05 #>  [8923,] 1.151089e-05 1.034747e-05 #>  [8924,] 1.545629e-05 1.265915e-05 #>  [8925,] 1.276561e-05 1.172543e-05 #>  [8926,] 1.407068e-05 1.153731e-05 #>  [8927,] 2.237184e-05 2.525958e-05 #>  [8928,] 2.636935e-05 1.895071e-05 #>  [8929,] 1.456137e-04 1.594049e-04 #>  [8930,] 8.751406e-05 2.692203e-05 #>  [8931,] 1.323944e-05 1.189695e-05 #>  [8932,] 1.770175e-05 1.710328e-05 #>  [8933,] 3.410890e-05 8.823451e-05 #>  [8934,] 2.658367e-05 3.752922e-05 #>  [8935,] 5.690074e-05 9.859358e-04 #>  [8936,] 1.823863e-05 2.409430e-05 #>  [8937,] 1.577472e-05 2.019568e-05 #>  [8938,] 1.459265e-04 2.241374e-04 #>  [8939,] 1.372299e-05 1.501166e-05 #>  [8940,] 1.438394e-05 1.110930e-05 #>  [8941,] 3.778874e-05 2.583266e-05 #>  [8942,] 2.596302e-05 1.585746e-05 #>  [8943,] 1.545476e-05 1.413008e-05 #>  [8944,] 1.025742e-05 1.131637e-05 #>  [8945,] 2.060727e-04 2.516630e-05 #>  [8946,] 1.336584e-05 1.234880e-05 #>  [8947,] 3.284804e-05 1.901151e-05 #>  [8948,] 1.503900e-05 1.138702e-05 #>  [8949,] 1.566166e-05 1.074631e-05 #>  [8950,] 3.740287e-05 1.957961e-05 #>  [8951,] 1.622611e-05 1.379557e-05 #>  [8952,] 3.375754e-05 2.121241e-05 #>  [8953,] 5.042742e-05 4.754236e-05 #>  [8954,] 3.698461e-05 3.754284e-05 #>  [8955,] 1.310799e-05 1.140833e-05 #>  [8956,] 2.387231e-05 2.980079e-05 #>  [8957,] 1.471663e-05 1.281742e-05 #>  [8958,] 1.718628e-05 1.312111e-05 #>  [8959,] 1.525861e-05 1.352079e-05 #>  [8960,] 1.288461e-05 1.331540e-05 #>  [8961,] 8.949108e-05 4.885259e-05 #>  [8962,] 1.945285e-05 1.662581e-05 #>  [8963,] 9.157737e-05 8.912902e-05 #>  [8964,] 2.663325e-05 2.215488e-05 #>  [8965,] 5.255917e-05 9.520165e-05 #>  [8966,] 1.574916e-05 1.232275e-05 #>  [8967,] 3.355021e-04 1.408556e-04 #>  [8968,] 2.624726e-05 2.610946e-05 #>  [8969,] 1.563025e-05 1.474519e-05 #>  [8970,] 2.175706e-05 2.247518e-05 #>  [8971,] 1.584868e-05 1.131337e-05 #>  [8972,] 2.073032e-05 1.565181e-05 #>  [8973,] 3.199174e-05 1.933792e-05 #>  [8974,] 1.686074e-05 1.394476e-05 #>  [8975,] 2.026468e-05 1.941694e-05 #>  [8976,] 1.989180e-05 3.099426e-05 #>  [8977,] 1.817217e-05 1.261388e-05 #>  [8978,] 3.436208e-05 4.374863e-05 #>  [8979,] 7.967563e-05 5.451355e-05 #>  [8980,] 1.406658e-05 4.426154e-05 #>  [8981,] 1.437415e-05 1.538323e-05 #>  [8982,] 2.596995e-05 1.913258e-05 #>  [8983,] 2.800491e-05 5.524041e-05 #>  [8984,] 4.164163e-05 4.559576e-05 #>  [8985,] 1.891763e-04 4.150861e-05 #>  [8986,] 3.030318e-05 2.510482e-05 #>  [8987,] 1.441956e-05 1.284520e-05 #>  [8988,] 5.422412e-04 7.985036e-04 #>  [8989,] 2.271176e-04 2.513717e-04 #>  [8990,] 1.637242e-04 1.290728e-04 #>  [8991,] 3.175745e-05 2.947047e-05 #>  [8992,] 2.272143e-05 1.863205e-05 #>  [8993,] 1.673140e-05 1.388164e-05 #>  [8994,] 2.401418e-05 4.293424e-05 #>  [8995,] 7.816084e-05 1.962566e-05 #>  [8996,] 3.413229e-05 2.835187e-05 #>  [8997,] 1.579748e-05 1.093889e-05 #>  [8998,] 1.677125e-04 1.086695e-04 #>  [8999,] 1.495682e-05 1.370217e-05 #>  [9000,] 2.305177e-05 1.277085e-05 #>  [9001,] 1.516201e-05 1.680403e-05 #>  [9002,] 2.417672e-04 2.035948e-04 #>  [9003,] 2.265361e-05 1.532896e-05 #>  [9004,] 1.210560e-05 1.889737e-05 #>  [9005,] 2.479540e-05 1.595016e-05 #>  [9006,] 1.209720e-05 1.340427e-05 #>  [9007,] 3.450787e-05 1.499459e-05 #>  [9008,] 3.627314e-05 1.709310e-05 #>  [9009,] 2.926383e-05 8.718877e-05 #>  [9010,] 1.320054e-05 1.341957e-05 #>  [9011,] 2.865176e-05 3.292561e-05 #>  [9012,] 8.876809e-05 5.330143e-04 #>  [9013,] 7.054628e-05 8.109967e-05 #>  [9014,] 1.130571e-04 1.993825e-04 #>  [9015,] 1.559142e-05 5.592626e-05 #>  [9016,] 4.303928e-05 5.923880e-05 #>  [9017,] 1.554832e-05 3.151799e-05 #>  [9018,] 1.511484e-05 1.286053e-05 #>  [9019,] 2.307595e-05 1.422882e-05 #>  [9020,] 1.511940e-05 1.445258e-05 #>  [9021,] 1.859399e-05 1.363984e-05 #>  [9022,] 2.542201e-05 2.311972e-05 #>  [9023,] 1.332510e-05 1.775303e-05 #>  [9024,] 1.364593e-05 1.139518e-05 #>  [9025,] 1.774708e-05 2.066589e-05 #>  [9026,] 1.398340e-05 1.346539e-05 #>  [9027,] 5.224782e-05 1.020632e-04 #>  [9028,] 2.679229e-05 1.956362e-05 #>  [9029,] 1.176890e-05 1.066582e-05 #>  [9030,] 2.395607e-05 1.301408e-05 #>  [9031,] 2.117294e-05 1.827136e-05 #>  [9032,] 1.938768e-05 3.176675e-05 #>  [9033,] 1.391681e-05 1.198537e-05 #>  [9034,] 2.197111e-05 3.175417e-05 #>  [9035,] 1.885655e-05 2.023061e-05 #>  [9036,] 2.934369e-05 1.900071e-05 #>  [9037,] 6.296211e-05 6.457669e-05 #>  [9038,] 3.496013e-05 1.955648e-05 #>  [9039,] 2.397669e-05 4.120483e-05 #>  [9040,] 1.592934e-05 1.578842e-05 #>  [9041,] 2.906179e-05 2.250121e-05 #>  [9042,] 1.409288e-05 1.348508e-05 #>  [9043,] 1.243951e-05 1.545522e-05 #>  [9044,] 2.454630e-05 2.583421e-05 #>  [9045,] 3.613618e-05 2.353700e-05 #>  [9046,] 2.756408e-05 3.407712e-05 #>  [9047,] 1.798383e-04 7.670799e-05 #>  [9048,] 1.725535e-05 1.602738e-05 #>  [9049,] 1.645843e-05 1.291526e-05 #>  [9050,] 1.538071e-05 2.055380e-05 #>  [9051,] 5.722514e-05 1.425785e-05 #>  [9052,] 2.771500e-05 1.165446e-04 #>  [9053,] 1.712936e-05 2.357908e-05 #>  [9054,] 1.911567e-05 1.128084e-05 #>  [9055,] 1.650189e-05 1.950464e-05 #>  [9056,] 1.788395e-05 1.211694e-05 #>  [9057,] 1.725920e-05 6.432061e-05 #>  [9058,] 1.180888e-05 1.398118e-05 #>  [9059,] 1.500649e-05 1.699875e-05 #>  [9060,] 2.421215e-05 1.480696e-05 #>  [9061,] 1.192554e-04 4.165461e-05 #>  [9062,] 1.560221e-04 2.491880e-05 #>  [9063,] 1.318135e-05 1.146632e-05 #>  [9064,] 1.170779e-04 1.866664e-05 #>  [9065,] 3.342289e-05 6.395449e-05 #>  [9066,] 1.544422e-05 1.437631e-05 #>  [9067,] 3.143635e-05 1.817669e-05 #>  [9068,] 3.046481e-04 3.583094e-05 #>  [9069,] 1.387608e-05 9.895046e-06 #>  [9070,] 1.507787e-05 1.547286e-05 #>  [9071,] 1.447278e-05 1.761228e-05 #>  [9072,] 4.422131e-05 3.240163e-05 #>  [9073,] 1.726347e-05 1.637496e-05 #>  [9074,] 1.380875e-05 1.152273e-05 #>  [9075,] 1.504181e-05 1.076476e-05 #>  [9076,] 3.396364e-05 1.485024e-05 #>  [9077,] 2.676364e-05 5.279062e-05 #>  [9078,] 1.024839e-05 9.336668e-06 #>  [9079,] 1.238653e-05 1.293290e-05 #>  [9080,] 3.132447e-05 2.092588e-04 #>  [9081,] 1.516023e-05 1.268826e-05 #>  [9082,] 2.210921e-05 1.719466e-05 #>  [9083,] 1.835758e-05 1.624498e-05 #>  [9084,] 1.565910e-05 1.262926e-05 #>  [9085,] 1.436997e-05 1.253438e-05 #>  [9086,] 2.284986e-04 1.072173e-04 #>  [9087,] 9.663054e-05 5.157234e-05 #>  [9088,] 2.584372e-05 5.737827e-05 #>  [9089,] 2.006708e-05 1.781586e-05 #>  [9090,] 1.370730e-05 1.147612e-05 #>  [9091,] 2.747069e-04 2.844992e-04 #>  [9092,] 9.968182e-06 9.629372e-06 #>  [9093,] 7.214299e-05 5.411748e-05 #>  [9094,] 1.401536e-05 1.257762e-05 #>  [9095,] 2.002747e-05 3.548472e-05 #>  [9096,] 3.544637e-04 5.969081e-05 #>  [9097,] 1.495214e-05 4.611831e-05 #>  [9098,] 1.937227e-04 2.883341e-04 #>  [9099,] 1.046107e-05 1.062972e-05 #>  [9100,] 3.463993e-05 4.666858e-05 #>  [9101,] 1.407575e-05 1.047461e-05 #>  [9102,] 9.535883e-05 2.679773e-04 #>  [9103,] 1.551096e-05 1.264429e-05 #>  [9104,] 3.050274e-05 3.157077e-05 #>  [9105,] 2.345459e-05 2.560927e-05 #>  [9106,] 6.006308e-04 6.076023e-04 #>  [9107,] 2.712672e-05 2.235946e-05 #>  [9108,] 1.335187e-04 1.284927e-04 #>  [9109,] 3.665100e-05 2.921119e-05 #>  [9110,] 2.951265e-05 2.514830e-05 #>  [9111,] 8.547733e-05 5.720890e-05 #>  [9112,] 3.378944e-05 2.921532e-05 #>  [9113,] 3.983627e-05 2.931285e-05 #>  [9114,] 2.317068e-05 2.097530e-05 #>  [9115,] 3.002988e-05 2.376098e-05 #>  [9116,] 4.094130e-05 1.316042e-04 #>  [9117,] 5.952685e-05 5.064947e-05 #>  [9118,] 2.514301e-05 2.457673e-05 #>  [9119,] 5.444205e-05 8.325922e-04 #>  [9120,] 2.938276e-05 2.783978e-05 #>  [9121,] 2.948170e-05 2.375516e-05 #>  [9122,] 3.068806e-05 2.481487e-05 #>  [9123,] 2.969028e-05 2.636638e-05 #>  [9124,] 2.941195e-05 2.451709e-05 #>  [9125,] 4.765699e-05 4.457493e-05 #>  [9126,] 3.736693e-05 3.088884e-05 #>  [9127,] 2.320137e-05 2.054667e-05 #>  [9128,] 5.636129e-05 2.253876e-04 #>  [9129,] 2.754652e-05 2.193780e-05 #>  [9130,] 7.756815e-05 1.412298e-04 #>  [9131,] 4.619868e-05 7.892535e-05 #>  [9132,] 4.094996e-05 2.966565e-05 #>  [9133,] 2.535585e-04 2.379384e-04 #>  [9134,] 4.661302e-05 3.554535e-05 #>  [9135,] 6.475946e-05 4.599284e-05 #>  [9136,] 2.881334e-04 3.010457e-04 #>  [9137,] 9.207517e-05 1.687175e-04 #>  [9138,] 2.776323e-05 2.734353e-05 #>  [9139,] 1.810384e-04 2.673187e-04 #>  [9140,] 2.063066e-04 2.582293e-04 #>  [9141,] 4.840062e-05 9.452649e-05 #>  [9142,] 2.483592e-05 2.793360e-05 #>  [9143,] 5.042981e-05 3.315747e-05 #>  [9144,] 6.430757e-05 5.496855e-05 #>  [9145,] 2.400215e-05 2.720257e-05 #>  [9146,] 2.051977e-05 2.348771e-05 #>  [9147,] 2.846047e-05 2.499390e-05 #>  [9148,] 2.920484e-05 2.422181e-05 #>  [9149,] 2.789999e-05 2.813265e-05 #>  [9150,] 4.067677e-05 3.373865e-05 #>  [9151,] 4.605058e-05 2.955732e-05 #>  [9152,] 3.466416e-05 2.842185e-05 #>  [9153,] 6.777577e-05 3.556744e-05 #>  [9154,] 4.802248e-05 3.252058e-05 #>  [9155,] 3.984252e-05 6.821593e-05 #>  [9156,] 2.425446e-05 2.333561e-05 #>  [9157,] 4.180145e-05 2.953651e-05 #>  [9158,] 3.269550e-05 2.765758e-05 #>  [9159,] 5.941377e-05 5.238877e-05 #>  [9160,] 4.373645e-05 3.642780e-05 #>  [9161,] 3.000268e-05 2.808065e-05 #>  [9162,] 3.117711e-05 2.795575e-05 #>  [9163,] 3.200967e-04 6.784111e-04 #>  [9164,] 7.121689e-05 1.085113e-04 #>  [9165,] 4.340961e-05 3.693911e-05 #>  [9166,] 3.469503e-05 4.950541e-05 #>  [9167,] 3.970496e-05 2.182522e-04 #>  [9168,] 3.058385e-05 2.685333e-05 #>  [9169,] 5.600435e-05 2.833727e-05 #>  [9170,] 3.622217e-05 2.659228e-05 #>  [9171,] 3.372080e-05 2.761046e-05 #>  [9172,] 3.158477e-05 3.615414e-05 #>  [9173,] 3.040629e-05 3.116101e-05 #>  [9174,] 4.021053e-05 2.560683e-05 #>  [9175,] 2.418571e-04 6.680044e-05 #>  [9176,] 4.249971e-05 2.714238e-05 #>  [9177,] 2.538867e-05 2.020959e-05 #>  [9178,] 6.840925e-05 5.754998e-05 #>  [9179,] 4.929593e-05 6.386533e-05 #>  [9180,] 3.059029e-05 2.909239e-05 #>  [9181,] 2.967811e-05 2.739698e-05 #>  [9182,] 3.905226e-05 3.481084e-05 #>  [9183,] 3.873015e-05 2.892578e-05 #>  [9184,] 2.714963e-05 2.288287e-05 #>  [9185,] 4.783496e-05 3.433963e-05 #>  [9186,] 1.837958e-04 6.914657e-05 #>  [9187,] 2.895839e-05 2.648784e-05 #>  [9188,] 4.486059e-05 7.182510e-05 #>  [9189,] 2.803063e-05 2.435595e-05 #>  [9190,] 4.832609e-05 4.885031e-05 #>  [9191,] 3.075004e-05 2.802611e-05 #>  [9192,] 3.120633e-05 2.551991e-05 #>  [9193,] 2.517701e-05 3.193485e-05 #>  [9194,] 2.962271e-05 3.600270e-05 #>  [9195,] 6.859642e-05 1.089094e-04 #>  [9196,] 3.337595e-05 2.898159e-05 #>  [9197,] 1.320303e-04 8.569127e-05 #>  [9198,] 3.137155e-05 2.520716e-05 #>  [9199,] 2.745428e-04 2.307254e-04 #>  [9200,] 8.725703e-05 5.157759e-05 #>  [9201,] 3.432956e-05 3.410741e-05 #>  [9202,] 3.620710e-05 3.090947e-05 #>  [9203,] 2.524238e-05 2.766844e-05 #>  [9204,] 2.105794e-03 1.048781e-03 #>  [9205,] 3.001785e-05 3.166400e-05 #>  [9206,] 5.277989e-05 4.705810e-05 #>  [9207,] 3.187300e-05 3.312470e-05 #>  [9208,] 3.719386e-05 2.841651e-05 #>  [9209,] 5.326336e-05 6.380263e-05 #>  [9210,] 3.788156e-05 5.449213e-05 #>  [9211,] 2.288788e-05 2.350418e-05 #>  [9212,] 2.775233e-05 2.542291e-05 #>  [9213,] 2.335461e-05 1.968590e-05 #>  [9214,] 3.241938e-05 4.849957e-05 #>  [9215,] 2.596173e-05 2.425906e-05 #>  [9216,] 1.084338e-04 1.082661e-04 #>  [9217,] 3.690249e-05 2.711644e-05 #>  [9218,] 3.227264e-05 2.754108e-05 #>  [9219,] 2.865822e-05 2.402448e-05 #>  [9220,] 2.326011e-05 3.191407e-05 #>  [9221,] 3.019206e-05 2.580373e-05 #>  [9222,] 2.156225e-04 1.640603e-04 #>  [9223,] 2.681378e-05 2.220639e-05 #>  [9224,] 5.045409e-05 3.967284e-05 #>  [9225,] 2.134767e-05 1.950083e-05 #>  [9226,] 2.262117e-05 1.977995e-05 #>  [9227,] 3.357343e-05 2.776733e-05 #>  [9228,] 1.939392e-04 1.570563e-04 #>  [9229,] 1.905618e-04 3.548546e-04 #>  [9230,] 3.079005e-05 2.699583e-05 #>  [9231,] 2.780201e-05 2.391578e-05 #>  [9232,] 2.632616e-05 2.259309e-05 #>  [9233,] 2.315726e-05 2.086831e-05 #>  [9234,] 2.942965e-05 2.699464e-05 #>  [9235,] 3.880258e-05 4.366307e-05 #>  [9236,] 4.476603e-05 9.924336e-05 #>  [9237,] 3.140475e-05 2.855717e-05 #>  [9238,] 3.110723e-05 2.876814e-05 #>  [9239,] 3.185524e-05 2.647928e-05 #>  [9240,] 5.847292e-05 2.678511e-04 #>  [9241,] 6.197090e-05 5.057383e-05 #>  [9242,] 1.136339e-04 6.056014e-05 #>  [9243,] 1.154367e-04 4.627094e-05 #>  [9244,] 2.456443e-05 2.087554e-05 #>  [9245,] 2.979341e-05 2.824379e-05 #>  [9246,] 2.422511e-05 2.230906e-05 #>  [9247,] 3.749301e-05 3.978903e-05 #>  [9248,] 2.685960e-05 2.104273e-05 #>  [9249,] 3.788422e-05 3.072538e-05 #>  [9250,] 2.676844e-05 2.362099e-05 #>  [9251,] 4.066300e-05 3.658537e-05 #>  [9252,] 3.391695e-05 2.784979e-05 #>  [9253,] 2.668791e-05 2.881336e-05 #>  [9254,] 6.097990e-05 3.750632e-05 #>  [9255,] 5.278881e-05 3.255235e-05 #>  [9256,] 3.943854e-05 3.424513e-05 #>  [9257,] 2.103008e-04 5.388318e-05 #>  [9258,] 2.382145e-05 2.317048e-05 #>  [9259,] 3.228743e-05 2.638492e-05 #>  [9260,] 3.890846e-05 3.221637e-05 #>  [9261,] 3.258459e-05 2.455884e-05 #>  [9262,] 2.646499e-05 2.348149e-05 #>  [9263,] 3.928504e-05 3.419842e-05 #>  [9264,] 3.761266e-05 3.031994e-05 #>  [9265,] 7.934800e-05 3.641306e-05 #>  [9266,] 2.672115e-05 2.093670e-05 #>  [9267,] 2.945336e-05 2.552812e-05 #>  [9268,] 3.446109e-05 3.204777e-05 #>  [9269,] 2.280715e-05 2.168960e-05 #>  [9270,] 3.805064e-04 1.465571e-03 #>  [9271,] 4.564182e-05 6.559224e-05 #>  [9272,] 2.692876e-05 2.138107e-05 #>  [9273,] 3.524919e-05 3.672977e-05 #>  [9274,] 4.880598e-04 3.106735e-04 #>  [9275,] 6.633225e-05 4.244480e-05 #>  [9276,] 4.718367e-05 5.977729e-05 #>  [9277,] 2.371473e-05 2.423288e-05 #>  [9278,] 7.214198e-05 8.038594e-05 #>  [9279,] 2.594141e-05 3.047356e-05 #>  [9280,] 5.430719e-05 1.320162e-04 #>  [9281,] 2.452427e-04 1.846049e-04 #>  [9282,] 2.625638e-05 2.380418e-05 #>  [9283,] 2.080550e-04 1.804530e-04 #>  [9284,] 5.424743e-05 3.656763e-05 #>  [9285,] 3.059659e-05 2.510918e-05 #>  [9286,] 3.773642e-05 3.091757e-05 #>  [9287,] 6.472736e-05 3.860868e-05 #>  [9288,] 1.060084e-03 7.783888e-04 #>  [9289,] 5.545790e-05 4.323519e-05 #>  [9290,] 3.696573e-05 3.701891e-05 #>  [9291,] 3.338506e-05 2.655025e-05 #>  [9292,] 3.470988e-05 2.615926e-05 #>  [9293,] 1.127549e-04 2.780518e-04 #>  [9294,] 2.626671e-05 2.966096e-05 #>  [9295,] 3.843093e-05 8.478535e-05 #>  [9296,] 3.609861e-05 3.799338e-05 #>  [9297,] 4.626268e-04 5.398221e-04 #>  [9298,] 2.594736e-05 2.488598e-05 #>  [9299,] 2.161525e-05 2.229580e-05 #>  [9300,] 5.515794e-04 1.899677e-03 #>  [9301,] 3.811954e-05 1.798399e-03 #>  [9302,] 1.158799e-04 1.578376e-04 #>  [9303,] 3.554555e-05 4.384049e-05 #>  [9304,] 2.778084e-05 2.734476e-05 #>  [9305,] 3.615258e-05 2.810265e-05 #>  [9306,] 4.513524e-05 3.241134e-05 #>  [9307,] 2.607624e-05 2.317668e-05 #>  [9308,] 3.288009e-05 2.616046e-05 #>  [9309,] 8.641207e-05 5.372855e-05 #>  [9310,] 2.597534e-05 2.333464e-05 #>  [9311,] 2.799587e-04 3.258893e-04 #>  [9312,] 1.803197e-03 1.135135e-03 #>  [9313,] 1.949746e-04 1.934086e-04 #>  [9314,] 1.741544e-04 1.282149e-04 #>  [9315,] 3.726690e-05 3.659005e-05 #>  [9316,] 7.498781e-05 2.930163e-05 #>  [9317,] 5.817689e-05 3.961233e-05 #>  [9318,] 3.693463e-05 2.961935e-05 #>  [9319,] 4.752603e-05 3.296338e-05 #>  [9320,] 2.662833e-05 3.380349e-05 #>  [9321,] 1.331630e-04 5.834453e-05 #>  [9322,] 2.833321e-05 2.709298e-05 #>  [9323,] 4.785741e-05 5.808563e-05 #>  [9324,] 4.642905e-05 5.060553e-05 #>  [9325,] 2.927154e-05 2.642755e-05 #>  [9326,] 2.957160e-05 2.548728e-05 #>  [9327,] 5.259907e-05 3.291463e-05 #>  [9328,] 4.736332e-05 3.158066e-05 #>  [9329,] 3.168488e-05 3.599612e-05 #>  [9330,] 4.254373e-05 3.684376e-05 #>  [9331,] 4.964083e-04 3.480706e-04 #>  [9332,] 3.594769e-05 3.057361e-05 #>  [9333,] 2.241295e-05 2.201386e-05 #>  [9334,] 5.214447e-05 3.770503e-05 #>  [9335,] 3.526706e-05 2.741364e-05 #>  [9336,] 5.303773e-05 3.797602e-05 #>  [9337,] 4.638008e-04 1.464974e-04 #>  [9338,] 1.300211e-04 3.095023e-05 #>  [9339,] 2.964406e-05 2.641987e-05 #>  [9340,] 4.699020e-05 4.189124e-05 #>  [9341,] 5.299711e-05 6.478590e-05 #>  [9342,] 5.385205e-05 3.402119e-05 #>  [9343,] 4.022912e-05 2.840230e-05 #>  [9344,] 3.843491e-05 3.079065e-05 #>  [9345,] 3.033127e-05 2.913511e-05 #>  [9346,] 5.812719e-05 4.410237e-05 #>  [9347,] 2.666377e-05 2.256862e-05 #>  [9348,] 3.539503e-05 2.374758e-05 #>  [9349,] 4.171768e-05 2.878652e-05 #>  [9350,] 3.414910e-05 2.886587e-05 #>  [9351,] 1.223635e-03 1.498280e-04 #>  [9352,] 6.535147e-05 3.694686e-05 #>  [9353,] 5.639301e-05 7.724693e-05 #>  [9354,] 2.695410e-05 2.568344e-05 #>  [9355,] 1.177770e-04 6.903707e-05 #>  [9356,] 3.144036e-05 3.032605e-05 #>  [9357,] 3.071157e-04 1.580191e-04 #>  [9358,] 2.961087e-05 2.430820e-05 #>  [9359,] 3.295133e-05 2.767454e-05 #>  [9360,] 1.340998e-04 3.485733e-05 #>  [9361,] 3.143554e-05 2.881594e-05 #>  [9362,] 2.960633e-05 3.157032e-05 #>  [9363,] 3.092675e-05 2.814433e-05 #>  [9364,] 3.073388e-05 2.873150e-05 #>  [9365,] 2.544011e-05 2.193934e-05 #>  [9366,] 3.370930e-05 2.822873e-05 #>  [9367,] 4.254847e-05 3.116431e-05 #>  [9368,] 2.297950e-05 1.913538e-05 #>  [9369,] 2.955679e-05 3.103224e-05 #>  [9370,] 3.509529e-05 3.985895e-05 #>  [9371,] 4.158634e-05 3.265703e-05 #>  [9372,] 2.947796e-05 3.218206e-05 #>  [9373,] 2.516580e-05 2.210410e-05 #>  [9374,] 2.882156e-05 2.602248e-05 #>  [9375,] 5.352061e-05 4.764960e-05 #>  [9376,] 3.477815e-05 2.943974e-05 #>  [9377,] 5.557978e-05 6.049430e-05 #>  [9378,] 4.440485e-05 3.368034e-05 #>  [9379,] 3.807011e-05 2.805404e-05 #>  [9380,] 2.751129e-05 3.726236e-05 #>  [9381,] 4.111688e-05 2.965773e-05 #>  [9382,] 2.751493e-05 2.445165e-05 #>  [9383,] 3.177240e-05 3.050140e-05 #>  [9384,] 2.645642e-05 2.685950e-05 #>  [9385,] 4.076436e-05 4.206841e-05 #>  [9386,] 2.423019e-05 2.326302e-05 #>  [9387,] 8.098224e-05 3.354771e-05 #>  [9388,] 3.585513e-05 2.982554e-05 #>  [9389,] 3.238505e-05 3.363964e-05 #>  [9390,] 5.827703e-05 3.421371e-05 #>  [9391,] 3.174838e-05 3.130976e-05 #>  [9392,] 2.165036e-05 2.025653e-05 #>  [9393,] 1.144502e-04 1.047308e-04 #>  [9394,] 8.679236e-05 2.984707e-04 #>  [9395,] 9.388479e-05 4.582905e-05 #>  [9396,] 2.909689e-05 2.781455e-05 #>  [9397,] 2.971370e-05 2.379920e-05 #>  [9398,] 3.169828e-05 2.893097e-05 #>  [9399,] 3.346884e-05 1.034022e-04 #>  [9400,] 2.025849e-05 1.891050e-05 #>  [9401,] 2.946185e-05 3.132866e-05 #>  [9402,] 2.890493e-05 2.534509e-05 #>  [9403,] 2.041129e-04 2.602872e-04 #>  [9404,] 2.694212e-05 2.651752e-05 #>  [9405,] 2.377023e-05 2.037260e-05 #>  [9406,] 2.978684e-05 2.299753e-05 #>  [9407,] 2.863376e-04 9.514529e-05 #>  [9408,] 8.600755e-05 3.442893e-05 #>  [9409,] 2.084957e-03 1.846790e-03 #>  [9410,] 2.441596e-05 2.649824e-05 #>  [9411,] 6.405906e-05 6.307111e-05 #>  [9412,] 3.401602e-05 3.294777e-05 #>  [9413,] 2.692370e-05 2.442842e-05 #>  [9414,] 2.729770e-05 2.407554e-05 #>  [9415,] 4.465033e-05 3.724751e-05 #>  [9416,] 2.081096e-05 1.963596e-05 #>  [9417,] 3.026441e-05 2.484969e-05 #>  [9418,] 2.970685e-05 2.401465e-05 #>  [9419,] 5.342648e-05 3.403438e-05 #>  [9420,] 2.536004e-05 2.256090e-05 #>  [9421,] 7.964252e-05 9.522131e-05 #>  [9422,] 3.500672e-05 3.072875e-05 #>  [9423,] 4.116724e-05 4.364968e-05 #>  [9424,] 6.426111e-05 3.213132e-05 #>  [9425,] 1.895638e-04 3.637704e-05 #>  [9426,] 1.183565e-04 4.983166e-05 #>  [9427,] 4.260767e-05 4.338230e-05 #>  [9428,] 3.846539e-05 2.635126e-05 #>  [9429,] 3.192479e-05 3.222258e-05 #>  [9430,] 3.414384e-05 3.254221e-05 #>  [9431,] 3.111757e-05 2.949026e-05 #>  [9432,] 3.162521e-05 2.581671e-05 #>  [9433,] 5.440137e-05 2.860029e-05 #>  [9434,] 4.912978e-05 3.535463e-05 #>  [9435,] 5.838165e-05 3.960988e-05 #>  [9436,] 3.863024e-05 2.881187e-05 #>  [9437,] 3.144349e-05 4.509983e-05 #>  [9438,] 4.144098e-05 3.905031e-05 #>  [9439,] 2.964155e-05 2.533450e-05 #>  [9440,] 3.227779e-05 2.899297e-05 #>  [9441,] 3.242521e-05 2.407043e-05 #>  [9442,] 2.576219e-05 2.258261e-05 #>  [9443,] 2.730713e-05 2.912449e-05 #>  [9444,] 4.283717e-05 3.006885e-05 #>  [9445,] 3.060485e-05 3.069658e-05 #>  [9446,] 4.254430e-05 1.325637e-04 #>  [9447,] 3.107471e-05 2.731413e-05 #>  [9448,] 3.636534e-04 1.251098e-04 #>  [9449,] 3.979657e-05 1.117787e-04 #>  [9450,] 2.445665e-05 2.138459e-05 #>  [9451,] 2.327622e-05 2.258071e-05 #>  [9452,] 4.026832e-05 3.744055e-05 #>  [9453,] 2.776300e-05 2.685530e-05 #>  [9454,] 2.742838e-05 2.378767e-05 #>  [9455,] 3.652263e-05 6.079261e-05 #>  [9456,] 2.842771e-05 2.919458e-05 #>  [9457,] 4.659462e-05 3.491247e-05 #>  [9458,] 2.174243e-04 1.134815e-04 #>  [9459,] 2.429301e-05 2.341969e-05 #>  [9460,] 2.923478e-05 2.463548e-05 #>  [9461,] 3.250641e-05 4.611173e-05 #>  [9462,] 3.825310e-05 2.714777e-05 #>  [9463,] 8.071685e-05 1.000803e-04 #>  [9464,] 1.200028e-03 4.337518e-04 #>  [9465,] 5.260767e-05 2.842709e-04 #>  [9466,] 4.027337e-05 2.846415e-05 #>  [9467,] 2.649367e-05 3.245075e-05 #>  [9468,] 3.327016e-05 3.178911e-05 #>  [9469,] 2.341797e-05 2.173540e-05 #>  [9470,] 8.953399e-05 4.936990e-04 #>  [9471,] 3.441774e-05 2.679562e-05 #>  [9472,] 9.624244e-05 1.248266e-04 #>  [9473,] 3.890084e-05 5.664343e-05 #>  [9474,] 5.835639e-05 1.459047e-04 #>  [9475,] 3.357081e-05 2.914829e-05 #>  [9476,] 2.253186e-05 2.081354e-05 #>  [9477,] 5.706384e-05 6.393965e-05 #>  [9478,] 4.273653e-05 3.453959e-05 #>  [9479,] 3.154987e-05 2.667116e-05 #>  [9480,] 9.479511e-04 1.099133e-03 #>  [9481,] 3.647415e-05 2.880897e-05 #>  [9482,] 2.665244e-05 2.971135e-05 #>  [9483,] 2.932441e-05 2.572417e-05 #>  [9484,] 6.930149e-05 5.403702e-05 #>  [9485,] 2.824050e-05 2.592780e-05 #>  [9486,] 2.785909e-05 2.039459e-05 #>  [9487,] 2.835244e-05 2.231411e-05 #>  [9488,] 3.725036e-05 2.988790e-05 #>  [9489,] 2.415062e-05 2.118706e-05 #>  [9490,] 2.510259e-05 2.468251e-05 #>  [9491,] 3.065759e-05 3.166509e-05 #>  [9492,] 7.783216e-05 9.748584e-05 #>  [9493,] 6.331214e-05 5.049899e-05 #>  [9494,] 9.196449e-04 3.992573e-04 #>  [9495,] 2.545373e-05 2.995684e-05 #>  [9496,] 5.746501e-05 4.617370e-05 #>  [9497,] 5.318242e-05 5.129428e-05 #>  [9498,] 1.254245e-04 6.483506e-05 #>  [9499,] 4.713137e-05 7.055873e-05 #>  [9500,] 3.162313e-05 3.107241e-05 #>  [9501,] 4.994028e-05 3.395001e-05 #>  [9502,] 3.221570e-05 2.614935e-05 #>  [9503,] 4.555279e-05 3.186491e-05 #>  [9504,] 2.607126e-05 3.545815e-05 #>  [9505,] 4.224785e-05 6.446719e-05 #>  [9506,] 3.442401e-05 3.254090e-05 #>  [9507,] 2.775863e-05 2.412463e-05 #>  [9508,] 4.024341e-05 2.911933e-05 #>  [9509,] 1.343223e-04 8.856020e-05 #>  [9510,] 3.097321e-05 2.623509e-05 #>  [9511,] 7.902586e-05 2.335135e-05 #>  [9512,] 8.574322e-05 3.204937e-05 #>  [9513,] 2.837583e-05 2.651648e-05 #>  [9514,] 3.530701e-05 2.717029e-05 #>  [9515,] 5.246623e-05 3.898516e-05 #>  [9516,] 3.489109e-05 3.046121e-05 #>  [9517,] 2.228288e-04 2.956377e-04 #>  [9518,] 3.930426e-05 3.559800e-05 #>  [9519,] 3.005650e-05 2.654502e-05 #>  [9520,] 3.050961e-05 2.870976e-05 #>  [9521,] 3.665750e-04 1.322845e-04 #>  [9522,] 3.387986e-05 2.678347e-05 #>  [9523,] 4.274815e-05 3.001148e-05 #>  [9524,] 3.967262e-05 2.353916e-05 #>  [9525,] 1.975172e-04 2.580386e-04 #>  [9526,] 4.930681e-05 4.737181e-05 #>  [9527,] 2.455441e-04 1.060720e-03 #>  [9528,] 2.749851e-05 2.193556e-05 #>  [9529,] 3.023803e-05 2.133432e-05 #>  [9530,] 3.224279e-05 2.724387e-05 #>  [9531,] 5.766726e-05 6.909951e-05 #>  [9532,] 2.173481e-05 2.029285e-05 #>  [9533,] 3.913216e-05 3.419113e-05 #>  [9534,] 3.421340e-05 3.559540e-05 #>  [9535,] 9.058075e-05 7.750471e-05 #>  [9536,] 3.307229e-05 2.676025e-05 #>  [9537,] 2.651009e-05 3.178180e-05 #>  [9538,] 1.253779e-04 1.763695e-04 #>  [9539,] 2.524742e-05 2.203037e-05 #>  [9540,] 3.535882e-05 3.297586e-05 #>  [9541,] 3.311884e-05 2.813744e-05 #>  [9542,] 2.782142e-05 2.450617e-05 #>  [9543,] 3.113629e-05 2.545720e-05 #>  [9544,] 2.855113e-05 2.404404e-05 #>  [9545,] 1.080757e-04 3.729063e-05 #>  [9546,] 3.587486e-05 3.305929e-05 #>  [9547,] 2.575682e-05 2.570994e-05 #>  [9548,] 3.666955e-05 2.766531e-05 #>  [9549,] 5.283780e-05 8.319103e-05 #>  [9550,] 3.138803e-05 8.858016e-05 #>  [9551,] 3.469396e-05 2.941864e-05 #>  [9552,] 4.878682e-05 5.408365e-05 #>  [9553,] 2.582848e-05 2.274659e-05 #>  [9554,] 2.975215e-05 2.424153e-05 #>  [9555,] 3.385306e-05 2.720989e-05 #>  [9556,] 3.984152e-05 5.602085e-05 #>  [9557,] 2.901750e-05 2.112013e-05 #>  [9558,] 2.525046e-05 3.248357e-05 #>  [9559,] 5.165034e-05 1.386448e-04 #>  [9560,] 4.881852e-05 1.231176e-04 #>  [9561,] 2.824871e-05 2.690902e-05 #>  [9562,] 2.602953e-05 2.836799e-05 #>  [9563,] 3.199902e-05 2.831435e-05 #>  [9564,] 2.980921e-05 2.996973e-05 #>  [9565,] 2.368103e-05 2.385885e-05 #>  [9566,] 3.023872e-05 2.551833e-05 #>  [9567,] 3.477762e-05 3.262104e-05 #>  [9568,] 3.028173e-05 3.968006e-05 #>  [9569,] 5.827475e-05 5.722979e-05 #>  [9570,] 3.347811e-05 3.157269e-05 #>  [9571,] 2.919266e-05 2.592738e-05 #>  [9572,] 3.035488e-04 1.801629e-04 #>  [9573,] 3.346332e-05 2.149787e-05 #>  [9574,] 3.227486e-05 2.899200e-05 #>  [9575,] 3.657553e-05 2.742500e-05 #>  [9576,] 1.341593e-04 6.911236e-05 #>  [9577,] 4.366211e-05 4.562444e-05 #>  [9578,] 2.345906e-05 2.610555e-05 #>  [9579,] 2.507522e-04 8.312183e-05 #>  [9580,] 2.617303e-05 2.556336e-05 #>  [9581,] 3.364614e-05 2.754156e-05 #>  [9582,] 4.273661e-05 8.283507e-05 #>  [9583,] 3.670746e-05 3.060396e-05 #>  [9584,] 4.364855e-05 3.847725e-05 #>  [9585,] 3.636923e-05 2.284562e-05 #>  [9586,] 2.625411e-05 2.503774e-05 #>  [9587,] 3.136601e-05 2.344984e-05 #>  [9588,] 4.314845e-05 3.167752e-05 #>  [9589,] 3.608081e-05 4.744985e-05 #>  [9590,] 3.103944e-05 2.721690e-05 #>  [9591,] 5.750203e-05 6.927814e-05 #>  [9592,] 3.075914e-04 8.491149e-05 #>  [9593,] 3.401120e-05 2.871237e-05 #>  [9594,] 4.799844e-05 3.571360e-05 #>  [9595,] 2.197717e-05 2.028219e-05 #>  [9596,] 3.485734e-05 3.308907e-05 #>  [9597,] 8.407004e-05 9.376700e-05 #>  [9598,] 5.692408e-05 4.753380e-05 #>  [9599,] 2.522290e-05 2.330806e-05 #>  [9600,] 2.509872e-05 2.565775e-05 #>  [9601,] 3.266569e-05 2.695412e-05 #>  [9602,] 3.220552e-05 2.799790e-05 #>  [9603,] 3.579445e-05 2.721978e-05 #>  [9604,] 2.117002e-05 2.144241e-05 #>  [9605,] 4.898373e-05 2.816078e-05 #>  [9606,] 4.169850e-05 2.909317e-05 #>  [9607,] 3.180158e-05 2.798362e-05 #>  [9608,] 3.124243e-05 6.016227e-05 #>  [9609,] 2.402519e-05 2.634352e-05 #>  [9610,] 2.733985e-05 2.572710e-05 #>  [9611,] 6.086791e-05 1.179616e-04 #>  [9612,] 2.468249e-05 2.447237e-05 #>  [9613,] 4.110173e-05 3.149506e-05 #>  [9614,] 7.091704e-05 5.427287e-05 #>  [9615,] 4.776639e-05 3.331203e-05 #>  [9616,] 3.502942e-05 2.800650e-05 #>  [9617,] 3.311376e-05 2.576753e-05 #>  [9618,] 3.803619e-05 3.253888e-05 #>  [9619,] 8.302687e-05 3.175378e-05 #>  [9620,] 3.296473e-05 2.366594e-05 #>  [9621,] 4.741331e-05 3.487868e-05 #>  [9622,] 2.585346e-05 2.334116e-05 #>  [9623,] 1.025895e-04 1.770386e-04 #>  [9624,] 3.104370e-05 2.980402e-05 #>  [9625,] 2.615157e-05 2.541346e-05 #>  [9626,] 3.956945e-05 3.047330e-05 #>  [9627,] 5.371803e-05 3.878893e-05 #>  [9628,] 3.309667e-05 3.207905e-05 #>  [9629,] 2.815992e-05 2.489779e-05 #>  [9630,] 3.634555e-05 2.911948e-05 #>  [9631,] 1.388961e-04 4.264722e-05 #>  [9632,] 2.321762e-05 2.257587e-05 #>  [9633,] 1.722574e-04 4.264388e-05 #>  [9634,] 3.692533e-05 2.812282e-05 #>  [9635,] 6.154660e-05 4.387394e-05 #>  [9636,] 4.255992e-05 3.499848e-05 #>  [9637,] 2.493801e-05 2.208605e-05 #>  [9638,] 5.207826e-05 3.710759e-05 #>  [9639,] 3.751162e-05 4.045380e-05 #>  [9640,] 3.897796e-04 1.958643e-04 #>  [9641,] 2.703959e-05 2.346929e-05 #>  [9642,] 4.647830e-05 3.814182e-05 #>  [9643,] 6.550440e-05 3.219112e-05 #>  [9644,] 5.971626e-05 5.476264e-05 #>  [9645,] 5.755757e-05 2.564732e-05 #>  [9646,] 3.298218e-05 2.962644e-05 #>  [9647,] 3.444790e-05 3.022421e-05 #>  [9648,] 4.068260e-05 3.740725e-05 #>  [9649,] 1.221539e-04 9.478197e-05 #>  [9650,] 3.263402e-05 2.919360e-05 #>  [9651,] 3.134946e-05 2.690016e-05 #>  [9652,] 4.884373e-05 2.833153e-05 #>  [9653,] 9.148666e-05 9.982720e-05 #>  [9654,] 8.936943e-05 6.731566e-05 #>  [9655,] 3.247971e-05 2.729673e-05 #>  [9656,] 4.787261e-05 4.144000e-04 #>  [9657,] 3.095185e-05 2.599808e-05 #>  [9658,] 3.563787e-05 3.251461e-05 #>  [9659,] 1.675598e-04 4.018474e-04 #>  [9660,] 3.077889e-05 2.704323e-05 #>  [9661,] 2.455382e-05 2.641228e-05 #>  [9662,] 2.844591e-05 2.979519e-05 #>  [9663,] 3.578060e-05 3.331735e-05 #>  [9664,] 5.690749e-05 6.056431e-05 #>  [9665,] 2.360359e-05 2.255755e-05 #>  [9666,] 3.867779e-05 4.465952e-05 #>  [9667,] 3.509455e-05 2.799658e-05 #>  [9668,] 3.806665e-05 4.554386e-05 #>  [9669,] 2.954138e-05 2.742864e-05 #>  [9670,] 3.680443e-05 3.556789e-05 #>  [9671,] 1.236308e-04 1.333429e-04 #>  [9672,] 2.343575e-05 2.319398e-05 #>  [9673,] 2.994520e-05 2.542520e-05 #>  [9674,] 4.423712e-05 4.360202e-05 #>  [9675,] 3.771716e-05 5.970748e-05 #>  [9676,] 2.813815e-05 6.194108e-05 #>  [9677,] 2.908784e-05 2.999054e-05 #>  [9678,] 2.758293e-05 2.535481e-05 #>  [9679,] 5.130276e-05 3.803917e-05 #>  [9680,] 2.940338e-05 2.547496e-05 #>  [9681,] 2.992369e-05 2.506235e-05 #>  [9682,] 3.689280e-05 2.949067e-05 #>  [9683,] 3.680898e-05 1.052715e-04 #>  [9684,] 3.763840e-05 3.333196e-05 #>  [9685,] 5.541507e-05 6.267976e-05 #>  [9686,] 3.277981e-05 2.615204e-05 #>  [9687,] 4.008746e-05 3.009694e-05 #>  [9688,] 2.086272e-05 2.034587e-05 #>  [9689,] 4.713372e-05 4.500744e-05 #>  [9690,] 2.307542e-05 2.709459e-05 #>  [9691,] 2.805123e-05 2.518004e-05 #>  [9692,] 4.612898e-04 4.644616e-04 #>  [9693,] 3.318429e-05 6.011952e-05 #>  [9694,] 3.478581e-04 1.677827e-04 #>  [9695,] 3.459399e-05 3.271394e-05 #>  [9696,] 2.765074e-05 2.439899e-05 #>  [9697,] 4.049341e-05 2.963695e-05 #>  [9698,] 2.890210e-05 2.628198e-05 #>  [9699,] 3.761815e-05 3.189960e-05 #>  [9700,] 2.183460e-05 2.109339e-05 #>  [9701,] 5.090553e-05 2.711981e-05 #>  [9702,] 4.024446e-05 2.239995e-04 #>  [9703,] 3.459264e-05 3.306905e-05 #>  [9704,] 3.466089e-05 2.593928e-05 #>  [9705,] 5.116201e-05 5.182236e-05 #>  [9706,] 3.159772e-05 2.733519e-05 #>  [9707,] 3.187244e-05 3.493235e-05 #>  [9708,] 3.590699e-05 2.941306e-05 #>  [9709,] 5.919536e-05 4.765244e-05 #>  [9710,] 3.159646e-05 2.562277e-05 #>  [9711,] 2.539688e-05 2.473438e-05 #>  [9712,] 1.662712e-04 1.982485e-04 #>  [9713,] 4.288083e-05 2.148009e-04 #>  [9714,] 6.765572e-05 5.240777e-05 #>  [9715,] 3.607831e-05 3.902971e-05 #>  [9716,] 2.313650e-05 2.129236e-05 #>  [9717,] 3.272643e-05 3.352328e-05 #>  [9718,] 6.622136e-05 5.900054e-05 #>  [9719,] 2.695493e-05 2.675701e-05 #>  [9720,] 2.459221e-05 2.570814e-05 #>  [9721,] 2.786598e-05 2.408219e-05 #>  [9722,] 3.306612e-05 2.814102e-05 #>  [9723,] 3.016144e-05 2.527202e-05 #>  [9724,] 3.582232e-05 3.444438e-05 #>  [9725,] 7.174804e-05 2.423651e-04 #>  [9726,] 3.309269e-05 2.696913e-05 #>  [9727,] 5.461443e-05 6.131833e-05 #>  [9728,] 4.405175e-05 3.598347e-05 #>  [9729,] 2.736217e-05 2.470570e-05 #>  [9730,] 1.447123e-04 4.560697e-05 #>  [9731,] 3.612769e-05 3.562977e-05 #>  [9732,] 5.536093e-05 5.747787e-05 #>  [9733,] 3.593821e-05 2.992987e-05 #>  [9734,] 4.240291e-05 5.949872e-05 #>  [9735,] 3.043427e-05 2.898387e-05 #>  [9736,] 3.071421e-05 2.874881e-05 #>  [9737,] 3.114397e-05 2.643746e-05 #>  [9738,] 3.915511e-05 2.788706e-05 #>  [9739,] 2.590039e-05 2.276528e-05 #>  [9740,] 2.844777e-05 2.411593e-05 #>  [9741,] 2.824586e-05 2.239351e-05 #>  [9742,] 4.278557e-05 3.615704e-05 #>  [9743,] 3.342130e-05 3.220396e-05 #>  [9744,] 2.431026e-05 2.816584e-05 #>  [9745,] 2.962906e-05 4.150139e-05 #>  [9746,] 2.465784e-05 2.238521e-05 #>  [9747,] 3.926159e-05 3.263789e-05 #>  [9748,] 2.913869e-05 2.332698e-05 #>  [9749,] 4.001434e-05 3.850839e-05 #>  [9750,] 3.538437e-05 2.699433e-05 #>  [9751,] 3.322808e-05 3.197743e-05 #>  [9752,] 3.120724e-05 2.606386e-05 #>  [9753,] 1.175995e-04 4.902486e-05 #>  [9754,] 3.378390e-05 2.752175e-05 #>  [9755,] 5.581277e-05 2.893140e-05 #>  [9756,] 2.384292e-05 2.402554e-05 #>  [9757,] 4.522126e-05 4.812708e-05 #>  [9758,] 4.561975e-05 3.455101e-05 #>  [9759,] 3.102583e-05 2.303629e-05 #>  [9760,] 2.882633e-05 2.870551e-05 #>  [9761,] 2.529982e-05 2.304006e-05 #>  [9762,] 4.156520e-05 7.663209e-05 #>  [9763,] 2.548037e-05 2.293500e-05 #>  [9764,] 4.499640e-05 3.375857e-05 #>  [9765,] 2.444185e-05 2.658219e-05 #>  [9766,] 2.612384e-05 2.286762e-05 #>  [9767,] 4.469614e-05 3.314921e-05 #>  [9768,] 4.070066e-05 3.482492e-05 #>  [9769,] 2.921940e-05 2.797735e-05 #>  [9770,] 3.201841e-05 2.830237e-05 #>  [9771,] 4.549901e-05 2.983900e-05 #>  [9772,] 2.515774e-04 1.405580e-04 #>  [9773,] 3.011167e-05 2.932383e-05 #>  [9774,] 4.523038e-05 2.999732e-05 #>  [9775,] 3.517917e-05 1.194104e-04 #>  [9776,] 7.603057e-05 2.181512e-04 #>  [9777,] 4.156944e-05 5.268483e-05 #>  [9778,] 2.669754e-05 2.318802e-05 #>  [9779,] 2.885319e-05 2.491351e-05 #>  [9780,] 2.916088e-05 2.760205e-05 #>  [9781,] 3.191052e-05 2.701664e-05 #>  [9782,] 8.894774e-05 6.093787e-04 #>  [9783,] 3.181725e-05 2.854605e-05 #>  [9784,] 2.241808e-05 2.215590e-05 #>  [9785,] 2.731588e-05 3.414598e-05 #>  [9786,] 2.453825e-05 2.197348e-05 #>  [9787,] 2.922357e-05 2.443241e-05 #>  [9788,] 3.159296e-05 2.490551e-05 #>  [9789,] 2.576030e-05 2.253088e-05 #>  [9790,] 2.680855e-05 2.225872e-05 #>  [9791,] 3.053676e-05 2.682075e-05 #>  [9792,] 3.297943e-05 2.577406e-05 #>  [9793,] 4.319729e-05 3.135780e-05 #>  [9794,] 2.823965e-05 3.311901e-05 #>  [9795,] 2.583226e-05 2.336834e-05 #>  [9796,] 4.202098e-05 3.318062e-05 #>  [9797,] 3.460314e-04 4.457426e-05 #>  [9798,] 3.013692e-05 2.544938e-05 #>  [9799,] 8.974790e-05 6.251633e-05 #>  [9800,] 2.916967e-05 2.640082e-05 #>  [9801,] 2.965789e-05 2.443903e-05 #>  [9802,] 5.159545e-05 2.859138e-05 #>  [9803,] 4.320061e-05 5.313997e-05 #>  [9804,] 1.745300e-04 5.638944e-04 #>  [9805,] 2.668294e-05 2.249580e-05 #>  [9806,] 3.249003e-05 2.669912e-05 #>  [9807,] 4.010044e-05 3.346532e-05 #>  [9808,] 2.906335e-05 3.728742e-05 #>  [9809,] 2.656429e-05 2.305289e-05 #>  [9810,] 5.780373e-05 1.124195e-04 #>  [9811,] 2.961185e-05 2.468508e-05 #>  [9812,] 2.785348e-05 3.168627e-05 #>  [9813,] 2.627261e-05 2.462178e-05 #>  [9814,] 3.106204e-05 3.131575e-05 #>  [9815,] 4.554647e-05 4.224155e-05 #>  [9816,] 1.657028e-04 2.790426e-04 #>  [9817,] 2.976094e-05 2.414610e-05 #>  [9818,] 2.417057e-05 2.240210e-05 #>  [9819,] 4.989408e-05 2.914469e-04 #>  [9820,] 3.123331e-05 2.959966e-05 #>  [9821,] 7.439167e-05 5.293830e-05 #>  [9822,] 4.383381e-05 2.968677e-05 #>  [9823,] 2.687819e-05 2.360584e-05 #>  [9824,] 2.785913e-05 2.230567e-05 #>  [9825,] 5.029042e-05 3.903053e-05 #>  [9826,] 1.334001e-04 1.137778e-04 #>  [9827,] 2.795623e-05 2.379106e-05 #>  [9828,] 3.529822e-05 2.358283e-05 #>  [9829,] 4.364407e-05 4.593619e-05 #>  [9830,] 3.480896e-05 2.992590e-05 #>  [9831,] 5.893854e-05 3.146701e-05 #>  [9832,] 2.464087e-05 2.183356e-05 #>  [9833,] 1.242217e-04 6.316980e-05 #>  [9834,] 9.784059e-05 2.974714e-05 #>  [9835,] 2.711714e-05 4.647239e-05 #>  [9836,] 2.817305e-05 2.437610e-05 #>  [9837,] 1.249156e-04 6.973270e-05 #>  [9838,] 3.734023e-05 3.111141e-05 #>  [9839,] 2.626877e-05 2.318092e-05 #>  [9840,] 6.171721e-04 5.030488e-04 #>  [9841,] 1.140976e-04 1.221496e-04 #>  [9842,] 3.271319e-04 4.051743e-04 #>  [9843,] 3.406075e-05 3.772796e-05 #>  [9844,] 5.357650e-05 2.888269e-05 #>  [9845,] 4.153173e-05 3.105210e-05 #>  [9846,] 2.190535e-05 2.109765e-05 #>  [9847,] 2.706377e-05 2.476964e-05 #>  [9848,] 2.700759e-05 2.282997e-05 #>  [9849,] 3.352105e-05 2.950657e-05 #>  [9850,] 2.697809e-05 3.124651e-05 #>  [9851,] 3.853576e-05 1.461225e-04 #>  [9852,] 3.648328e-05 3.902942e-05 #>  [9853,] 3.047357e-05 2.588875e-05 #>  [9854,] 2.268705e-03 4.690491e-04 #>  [9855,] 2.700383e-05 2.215551e-05 #>  [9856,] 2.244352e-03 8.181772e-04 #>  [9857,] 4.348256e-05 2.649321e-05 #>  [9858,] 1.418159e-04 1.663940e-04 #>  [9859,] 5.224623e-05 2.890259e-05 #>  [9860,] 3.888746e-05 7.267067e-05 #>  [9861,] 4.073064e-05 2.795434e-05 #>  [9862,] 3.149065e-05 2.857420e-05 #>  [9863,] 2.110208e-05 2.022163e-05 #>  [9864,] 2.509053e-05 2.498118e-05 #>  [9865,] 4.826602e-05 2.943437e-05 #>  [9866,] 6.897745e-05 5.472202e-05 #>  [9867,] 5.775208e-05 3.126484e-05 #>  [9868,] 2.473930e-05 2.338956e-05 #>  [9869,] 3.293005e-05 2.939138e-05 #>  [9870,] 4.400767e-05 4.966253e-05 #>  [9871,] 4.196777e-05 5.783295e-05 #>  [9872,] 7.790951e-05 6.452289e-05 #>  [9873,] 7.784610e-05 5.022049e-05 #>  [9874,] 2.915023e-04 1.017027e-04 #>  [9875,] 2.776958e-05 3.057921e-05 #>  [9876,] 9.373990e-05 5.549762e-05 #>  [9877,] 3.644926e-05 2.805992e-05 #>  [9878,] 2.801194e-05 2.344905e-05 #>  [9879,] 3.363554e-05 3.027352e-05 #>  [9880,] 3.262870e-05 3.779668e-05 #>  [9881,] 3.969228e-05 3.539277e-05 #>  [9882,] 2.967653e-05 2.257115e-05 #>  [9883,] 2.925897e-05 2.330715e-05 #>  [9884,] 2.626418e-05 2.577652e-05 #>  [9885,] 2.494191e-05 2.380723e-05 #>  [9886,] 3.500353e-05 3.006157e-05 #>  [9887,] 5.552028e-05 2.703136e-05 #>  [9888,] 4.365450e-04 1.815828e-04 #>  [9889,] 2.265068e-05 2.620835e-05 #>  [9890,] 2.353708e-05 2.331045e-05 #>  [9891,] 9.331885e-05 4.212577e-05 #>  [9892,] 2.224999e-05 4.095864e-05 #>  [9893,] 3.387773e-05 2.848020e-05 #>  [9894,] 3.939606e-05 6.777334e-05 #>  [9895,] 2.562427e-05 2.396114e-05 #>  [9896,] 3.107862e-05 3.027752e-05 #>  [9897,] 3.345943e-05 4.448867e-05 #>  [9898,] 3.353932e-05 3.048931e-05 #>  [9899,] 4.321814e-05 5.247690e-05 #>  [9900,] 4.099149e-05 3.021609e-05 #>  [9901,] 2.555690e-05 2.260619e-05 #>  [9902,] 2.545042e-05 2.401627e-05 #>  [9903,] 2.476562e-05 2.588906e-05 #>  [9904,] 2.912105e-05 3.633938e-05 #>  [9905,] 3.858284e-05 2.623034e-05 #>  [9906,] 4.572763e-05 4.318291e-05 #>  [9907,] 4.424391e-05 3.909759e-05 #>  [9908,] 5.056625e-05 2.848572e-05 #>  [9909,] 7.518488e-05 7.804063e-05 #>  [9910,] 6.913628e-05 9.034249e-05 #>  [9911,] 6.688221e-05 3.633090e-05 #>  [9912,] 4.472678e-05 3.438837e-05 #>  [9913,] 5.121903e-05 7.642569e-05 #>  [9914,] 3.417039e-05 2.713238e-05 #>  [9915,] 2.507647e-04 6.870025e-05 #>  [9916,] 2.309691e-05 2.155798e-05 #>  [9917,] 3.082945e-05 2.901734e-05 #>  [9918,] 3.098624e-05 2.819510e-05 #>  [9919,] 3.926907e-05 3.429071e-05 #>  [9920,] 4.195244e-05 4.111111e-05 #>  [9921,] 5.295236e-05 1.431946e-04 #>  [9922,] 2.571458e-05 2.326212e-05 #>  [9923,] 2.769490e-05 6.842728e-05 #>  [9924,] 3.282251e-05 2.863329e-05 #>  [9925,] 1.539131e-04 9.886233e-05 #>  [9926,] 2.800680e-05 1.976562e-04 #>  [9927,] 3.722920e-05 3.447216e-05 #>  [9928,] 1.374560e-03 1.411257e-03 #>  [9929,] 4.050100e-05 8.583395e-05 #>  [9930,] 2.380883e-05 2.553888e-05 #>  [9931,] 1.302271e-03 8.921799e-04 #>  [9932,] 3.719352e-05 3.052555e-05 #>  [9933,] 4.385284e-05 2.543196e-05 #>  [9934,] 1.703118e-04 5.631623e-05 #>  [9935,] 3.972827e-05 2.838664e-05 #>  [9936,] 3.207023e-05 5.703505e-05 #>  [9937,] 4.943131e-05 4.396889e-05 #>  [9938,] 4.046100e-05 6.459950e-05 #>  [9939,] 2.977368e-05 2.812679e-05 #>  [9940,] 3.170431e-05 5.272379e-05 #>  [9941,] 2.301900e-05 2.266959e-05 #>  [9942,] 2.719513e-05 2.285211e-05 #>  [9943,] 3.001271e-05 2.466993e-05 #>  [9944,] 4.107902e-05 4.493747e-05 #>  [9945,] 3.343890e-05 3.065664e-05 #>  [9946,] 4.258891e-05 3.026688e-05 #>  [9947,] 2.321209e-05 2.312476e-05 #>  [9948,] 1.757391e-04 4.684306e-05 #>  [9949,] 2.968344e-05 2.553900e-05 #>  [9950,] 3.081411e-05 2.598229e-05 #>  [9951,] 4.074924e-05 3.366758e-05 #>  [9952,] 2.353661e-05 2.214873e-05 #>  [9953,] 2.486059e-05 2.335926e-05 #>  [9954,] 3.344135e-05 2.765413e-05 #>  [9955,] 3.312471e-05 2.792036e-05 #>  [9956,] 2.772868e-05 2.612287e-05 #>  [9957,] 2.082698e-05 2.014720e-05 #>  [9958,] 2.723892e-05 3.699601e-05 #>  [9959,] 2.865755e-05 2.388980e-05 #>  [9960,] 8.244087e-05 7.681810e-05 #>  [9961,] 6.824741e-05 2.777591e-05 #>  [9962,] 2.282610e-05 2.126243e-05 #>  [9963,] 2.467586e-05 2.375668e-05 #>  [9964,] 2.615338e-05 2.811444e-05 #>  [9965,] 2.305368e-05 2.049484e-05 #>  [9966,] 3.001889e-05 3.058567e-05 #>  [9967,] 3.187126e-05 3.649278e-05 #>  [9968,] 2.810515e-05 2.460448e-05 #>  [9969,] 1.238435e-04 4.517310e-05 #>  [9970,] 5.332968e-05 7.917259e-05 #>  [9971,] 2.964217e-05 2.557492e-05 #>  [9972,] 3.977833e-05 3.679754e-05 #>  [9973,] 2.724472e-05 2.352142e-05 #>  [9974,] 2.804245e-05 2.483244e-05 #>  [9975,] 4.191614e-05 4.459733e-05 #>  [9976,] 3.119041e-05 2.536112e-05 #>  [9977,] 3.682295e-05 3.491478e-05 #>  [9978,] 4.479241e-05 2.802764e-05 #>  [9979,] 3.451267e-05 3.404400e-05 #>  [9980,] 3.229181e-05 3.437052e-05 #>  [9981,] 4.889951e-05 3.581442e-05 #>  [9982,] 2.240452e-05 2.197190e-05 #>  [9983,] 7.381102e-05 4.795029e-05 #>  [9984,] 3.284057e-05 2.884401e-05 #>  [9985,] 2.994779e-05 2.593422e-05 #>  [9986,] 3.020876e-05 2.332943e-05 #>  [9987,] 3.366275e-05 2.779169e-05 #>  [9988,] 2.229941e-05 2.253987e-05 #>  [9989,] 2.574154e-05 2.512349e-05 #>  [9990,] 4.889344e-05 4.581312e-05 #>  [9991,] 2.824808e-05 2.511115e-05 #>  [9992,] 2.710928e-05 2.357108e-05 #>  [9993,] 2.771866e-05 2.322740e-05 #>  [9994,] 2.257751e-05 2.184801e-05 #>  [9995,] 2.324337e-05 2.187436e-05 #>  [9996,] 2.845433e-05 2.240203e-05 #>  [9997,] 2.412118e-05 2.173472e-05 #>  [9998,] 2.406898e-04 2.542836e-04 #>  [9999,] 3.639635e-05 2.962238e-05 #> [10000,] 5.490428e-05 4.467511e-05 #> [10001,] 4.579733e-05 4.193363e-05 #> [10002,] 4.903650e-04 3.265123e-04 #> [10003,] 2.248343e-05 2.158090e-05 #> [10004,] 2.839694e-05 2.420853e-05 #> [10005,] 4.159242e-05 3.399318e-05 #> [10006,] 3.839096e-05 5.209539e-05 #> [10007,] 5.851625e-05 3.030515e-04 #> [10008,] 3.880495e-05 3.607291e-05 #> [10009,] 2.245636e-05 2.078766e-05 #> [10010,] 2.773087e-05 2.711752e-05 #> [10011,] 3.142123e-05 2.640236e-05 #> [10012,] 3.089298e-05 2.589346e-05 #> [10013,] 3.854537e-05 3.039722e-05 #> [10014,] 1.151868e-04 5.352021e-05 #> [10015,] 2.234069e-05 2.801532e-05 #> [10016,] 2.436310e-05 2.473881e-05 #> [10017,] 2.934218e-05 2.498084e-05 #> [10018,] 2.850109e-05 2.439587e-05 #> [10019,] 3.220314e-05 2.687484e-05 #> [10020,] 4.903921e-05 3.919640e-05 #> [10021,] 3.190575e-05 2.596311e-05 #> [10022,] 3.026032e-05 6.594990e-05 #> [10023,] 2.487432e-05 2.356573e-05 #> [10024,] 3.008047e-05 2.444102e-05 #> [10025,] 3.326614e-05 2.845944e-05 #> [10026,] 2.980374e-05 2.537328e-05 #> [10027,] 1.393334e-04 4.157583e-05 #> [10028,] 1.019028e-04 2.772327e-05 #> [10029,] 3.282371e-05 2.836849e-05 #> [10030,] 3.186524e-05 2.884368e-05 #> [10031,] 2.835162e-05 3.260654e-05 #> [10032,] 8.890131e-05 4.098382e-05 #> [10033,] 3.505251e-05 2.692631e-05 #> [10034,] 3.770825e-05 2.962110e-05 #> [10035,] 1.665070e-04 8.957194e-05 #> [10036,] 3.072469e-05 2.504791e-05 #> [10037,] 4.018882e-05 3.290463e-05 #> [10038,] 5.152317e-05 7.103394e-05 #> [10039,] 1.433513e-04 1.023788e-04 #> [10040,] 1.153419e-04 8.105232e-05 #> [10041,] 4.030015e-05 2.180045e-05 #> [10042,] 5.770446e-05 1.208765e-04 #> [10043,] 3.068211e-05 2.086382e-05 #> [10044,] 3.227309e-05 8.486634e-05 #> [10045,] 3.363905e-05 2.710020e-05 #> [10046,] 7.042199e-05 8.524148e-05 #> [10047,] 3.317374e-05 2.817183e-05 #> [10048,] 3.116495e-05 2.504014e-05 #> [10049,] 4.406037e-05 3.850441e-05 #> [10050,] 5.289895e-05 5.078561e-05 #> [10051,] 5.010118e-05 3.836441e-05 #> [10052,] 5.178037e-05 3.727817e-05 #> [10053,] 6.123386e-05 4.127516e-05 #> [10054,] 3.385980e-05 3.474760e-05 #> [10055,] 3.538504e-05 3.151739e-05 #> [10056,] 3.630585e-05 2.857651e-05 #> [10057,] 2.535508e-05 2.208519e-05 #> [10058,] 5.038487e-05 3.421242e-05 #> [10059,] 3.314167e-05 2.733776e-05 #> [10060,] 2.185753e-05 2.163422e-05 #> [10061,] 2.773870e-05 2.111406e-05 #> [10062,] 5.085922e-05 4.556446e-05 #> [10063,] 2.975168e-05 2.768248e-05 #> [10064,] 4.527176e-05 2.857055e-05 #> [10065,] 2.720667e-05 2.699352e-05 #> [10066,] 1.118661e-04 5.212187e-05 #> [10067,] 3.260813e-05 2.781290e-05 #> [10068,] 4.439653e-05 3.652527e-05 #> [10069,] 7.369777e-05 2.991670e-05 #> [10070,] 3.237121e-05 3.167139e-05 #> [10071,] 4.588479e-05 3.384056e-05 #> [10072,] 3.206396e-05 2.994293e-05 #> [10073,] 6.226280e-05 1.189441e-04 #> [10074,] 3.045563e-05 2.799249e-05 #> [10075,] 2.626550e-05 2.064789e-05 #> [10076,] 3.009061e-05 2.521630e-05 #> [10077,] 3.075836e-05 3.037923e-05 #> [10078,] 3.381147e-05 2.955820e-05 #> [10079,] 2.971936e-05 2.719114e-05 #> [10080,] 4.734527e-04 2.379517e-04 #> [10081,] 4.697472e-05 2.484803e-05 #> [10082,] 3.341940e-05 2.626658e-05 #> [10083,] 2.661883e-05 2.216538e-05 #> [10084,] 4.256456e-05 3.159858e-05 #> [10085,] 3.407612e-05 2.805465e-05 #> [10086,] 2.657330e-05 2.015216e-05 #> [10087,] 3.549300e-05 3.022494e-05 #> [10088,] 2.700618e-05 2.678057e-05 #> [10089,] 8.383750e-05 4.666923e-05 #> [10090,] 3.128448e-05 2.695058e-05 #> [10091,] 3.285442e-05 3.790000e-05 #> [10092,] 2.258291e-05 1.946439e-05 #> [10093,] 2.327331e-05 2.273657e-05 #> [10094,] 2.640619e-05 3.695451e-05 #> [10095,] 3.007063e-05 2.422484e-05 #> [10096,] 3.750065e-05 1.125066e-04 #> [10097,] 4.266284e-05 5.463945e-05 #> [10098,] 3.587535e-05 2.921987e-05 #> [10099,] 2.696451e-05 2.852930e-05 #> [10100,] 3.145080e-05 5.530895e-05 #> [10101,] 3.690531e-05 3.610533e-05 #> [10102,] 3.275064e-05 2.546516e-05 #> [10103,] 2.843502e-05 2.837706e-05 #> [10104,] 1.856581e-03 9.443854e-04 #> [10105,] 2.429218e-05 2.304915e-05 #> [10106,] 6.031737e-05 3.486933e-05 #> [10107,] 3.063143e-05 4.639802e-05 #> [10108,] 3.076189e-05 2.610805e-05 #> [10109,] 3.817112e-05 3.544962e-05 #> [10110,] 5.068009e-05 4.159398e-05 #> [10111,] 3.328334e-05 2.718703e-05 #> [10112,] 2.665385e-05 2.554836e-05 #> [10113,] 2.368263e-05 1.960477e-05 #> [10114,] 3.000695e-05 2.596924e-05 #> [10115,] 2.730576e-05 2.487682e-05 #> [10116,] 5.762776e-05 3.599890e-05 #> [10117,] 1.570324e-04 2.104626e-04 #> [10118,] 3.889612e-05 2.651973e-05 #> [10119,] 3.797114e-05 3.595673e-05 #> [10120,] 4.348582e-05 3.113960e-05 #> [10121,] 3.511090e-05 2.758981e-05 #> [10122,] 4.357365e-05 3.528021e-05 #> [10123,] 2.534406e-05 2.414079e-05 #> [10124,] 2.605396e-05 2.920561e-05 #> [10125,] 1.078000e-04 5.101802e-05 #> [10126,] 6.255961e-05 4.521404e-05 #> [10127,] 1.629257e-04 4.896571e-05 #> [10128,] 3.333242e-05 2.847195e-05 #> [10129,] 1.923105e-04 2.586882e-04 #> [10130,] 4.032272e-05 2.558379e-05 #> [10131,] 2.999919e-05 2.419290e-05 #> [10132,] 2.941769e-05 2.312989e-05 #> [10133,] 2.962209e-05 2.475719e-05 #> [10134,] 4.237699e-05 5.008525e-05 #> [10135,] 2.155867e-05 2.196347e-05 #> [10136,] 2.850373e-05 2.572644e-05 #> [10137,] 6.363347e-05 4.605651e-05 #> [10138,] 3.466889e-05 2.727708e-05 #> [10139,] 3.357556e-04 1.314808e-03 #> [10140,] 3.878231e-05 3.002257e-05 #> [10141,] 2.737436e-05 2.306966e-05 #> [10142,] 9.465130e-05 7.147020e-05 #> [10143,] 4.597986e-05 3.558983e-05 #> [10144,] 2.898623e-05 2.498181e-05 #> [10145,] 3.553760e-05 3.272581e-05 #> [10146,] 3.398601e-05 2.725487e-05 #> [10147,] 3.152553e-05 2.430067e-05 #> [10148,] 3.026978e-05 2.428903e-05 #> [10149,] 2.972867e-05 2.007255e-05 #> [10150,] 4.637938e-05 4.022682e-05 #> [10151,] 4.305136e-05 3.184846e-05 #> [10152,] 4.359048e-05 3.992430e-05 #> [10153,] 3.924666e-05 3.936069e-05 #> [10154,] 2.859958e-05 2.393641e-05 #> [10155,] 2.903285e-05 2.337633e-05 #> [10156,] 9.885704e-05 2.870986e-04 #> [10157,] 5.647143e-05 1.202257e-04 #> [10158,] 4.857289e-05 3.758781e-05 #> [10159,] 2.458463e-05 2.282288e-05 #> [10160,] 2.392939e-05 2.301437e-05 #> [10161,] 2.811204e-05 2.859245e-05 #> [10162,] 3.203049e-05 2.513711e-05 #> [10163,] 6.832574e-05 7.290776e-05 #> [10164,] 1.289301e-04 3.324979e-04 #> [10165,] 2.700808e-05 2.489578e-05 #> [10166,] 4.266154e-05 3.819200e-05 #> [10167,] 3.312352e-05 2.968751e-05 #> [10168,] 8.600919e-05 2.495848e-04 #> [10169,] 3.018384e-05 2.648030e-05 #> [10170,] 3.805155e-05 2.591454e-05 #> [10171,] 4.866229e-05 4.413856e-05 #> [10172,] 2.826141e-05 2.667610e-05 #> [10173,] 3.008907e-05 2.732919e-05 #> [10174,] 3.503315e-05 2.902395e-05 #> [10175,] 4.923982e-05 2.738797e-05 #> [10176,] 6.458300e-05 3.329682e-05 #> [10177,] 3.966621e-05 5.226382e-05 #> [10178,] 2.721189e-05 1.327935e-04 #> [10179,] 9.587623e-05 6.195936e-05 #> [10180,] 3.027537e-05 5.269656e-05 #> [10181,] 2.690857e-05 2.391680e-05 #> [10182,] 3.359323e-05 2.836208e-05 #> [10183,] 4.164008e-05 2.750564e-05 #> [10184,] 3.629142e-05 3.306915e-05 #> [10185,] 6.850027e-05 3.008888e-05 #> [10186,] 4.110895e-05 4.358773e-05 #> [10187,] 8.488861e-05 2.868703e-04 #> [10188,] 4.351754e-04 4.539246e-04 #> [10189,] 7.970598e-05 3.026873e-04 #> [10190,] 4.264902e-05 4.786187e-05 #> [10191,] 3.793156e-05 4.442325e-05 #> [10192,] 4.736832e-05 2.882891e-05 #> [10193,] 2.476132e-05 2.431863e-05 #> [10194,] 4.269154e-05 3.252671e-05 #> [10195,] 2.845524e-05 2.801352e-05 #> [10196,] 4.663623e-05 7.197608e-05 #> [10197,] 2.336189e-05 2.396054e-05 #> [10198,] 5.092833e-05 2.952285e-05 #> [10199,] 2.892309e-05 2.531556e-05 #> [10200,] 4.255725e-05 4.147886e-05 #> [10201,] 3.670634e-04 6.177920e-04 #> [10202,] 2.828713e-04 3.633380e-04 #> [10203,] 2.254324e-05 2.479560e-05 #> [10204,] 3.573629e-05 5.542292e-05 #> [10205,] 2.272595e-04 1.699466e-04 #> [10206,] 5.492870e-05 5.608334e-05 #> [10207,] 2.343273e-05 2.269137e-05 #> [10208,] 2.650877e-05 2.302941e-05 #> [10209,] 2.846577e-05 2.568649e-05 #> [10210,] 3.118346e-05 2.824338e-05 #> [10211,] 2.555069e-05 2.375175e-05 #> [10212,] 5.289952e-05 6.185910e-05 #> [10213,] 4.529975e-05 3.711232e-05 #> [10214,] 4.302608e-05 8.416665e-05 #> [10215,] 3.295806e-05 7.361722e-05 #> [10216,] 3.443283e-05 2.784314e-05 #> [10217,] 2.830158e-05 2.414370e-05 #> [10218,] 2.276116e-05 2.771763e-05 #> [10219,] 2.607915e-05 2.553717e-05 #> [10220,] 6.844433e-05 4.566928e-05 #> [10221,] 3.540462e-05 2.863475e-05 #> [10222,] 2.875020e-05 2.349965e-05 #> [10223,] 2.452011e-05 2.121785e-05 #> [10224,] 3.499295e-05 3.099723e-05 #> [10225,] 4.134071e-05 3.584488e-05 #> [10226,] 2.388747e-05 2.191651e-05 #> [10227,] 3.330228e-05 2.627839e-05 #> [10228,] 2.382430e-05 2.236078e-05 #> [10229,] 3.082618e-05 2.695464e-05 #> [10230,] 6.114210e-05 1.297301e-04 #> [10231,] 4.336925e-05 2.858972e-05 #> [10232,] 3.163301e-05 2.522426e-05 #> [10233,] 3.343480e-05 2.658514e-05 #> [10234,] 1.818890e-04 5.099099e-05 #> [10235,] 3.194504e-05 2.480961e-05 #> [10236,] 3.340195e-05 3.002600e-05 #> [10237,] 3.636289e-05 3.861771e-05 #> [10238,] 6.277827e-05 3.137828e-05 #> [10239,] 3.093993e-05 6.303906e-05 #> [10240,] 2.615310e-05 2.265779e-05 #> [10241,] 3.005740e-05 2.914939e-05 #> [10242,] 2.404441e-05 2.070761e-05 #> [10243,] 3.469850e-05 2.986757e-05 #> [10244,] 2.872229e-05 2.523452e-05 #> [10245,] 6.804163e-05 5.443156e-05 #> [10246,] 2.918365e-05 2.690103e-05 #> [10247,] 3.410277e-05 3.056290e-05 #> [10248,] 3.451139e-05 2.524678e-05 #> [10249,] 3.364735e-05 3.062299e-05 #> [10250,] 3.560881e-05 2.896354e-05 #> [10251,] 3.081802e-05 3.268062e-05 #> [10252,] 3.286928e-05 2.505913e-05 #> [10253,] 2.050736e-05 2.091684e-05 #> [10254,] 3.057542e-05 2.433791e-05 #> [10255,] 3.922002e-05 3.000024e-05 #> [10256,] 2.447279e-05 2.174507e-05 #> [10257,] 3.232797e-05 2.789142e-05 #> [10258,] 1.090117e-04 9.314765e-05 #> [10259,] 2.864605e-05 2.590468e-05 #> [10260,] 1.967210e-05 1.938240e-05 #> [10261,] 2.925716e-05 2.436342e-05 #> [10262,] 2.334332e-05 2.085230e-05 #> [10263,] 2.310536e-05 2.303978e-05 #> [10264,] 5.672453e-05 5.452819e-05 #> [10265,] 3.664911e-05 2.613436e-05 #> [10266,] 3.428603e-05 3.488762e-05 #> [10267,] 3.065556e-05 2.744266e-05 #> [10268,] 3.856887e-05 3.077303e-05 #> [10269,] 2.138135e-05 2.119785e-05 #> [10270,] 2.832679e-05 2.728755e-05 #> [10271,] 2.952232e-05 2.506902e-05 #> [10272,] 4.645971e-05 3.841241e-05 #> [10273,] 2.084375e-05 2.175024e-05 #> [10274,] 4.022829e-05 3.032328e-05 #> [10275,] 7.169217e-05 7.905565e-05 #> [10276,] 1.311913e-04 1.256581e-04 #> [10277,] 4.211778e-05 4.873516e-05 #> [10278,] 1.813387e-04 6.535808e-05 #> [10279,] 2.540372e-05 2.301359e-05 #> [10280,] 3.676830e-05 3.678648e-05 #> [10281,] 1.023433e-04 1.059902e-04 #> [10282,] 2.942542e-05 2.723814e-05 #> [10283,] 3.228077e-05 2.770282e-05 #> [10284,] 2.529109e-05 2.275739e-05 #> [10285,] 3.045482e-05 3.103788e-05 #> [10286,] 3.146030e-05 2.794119e-05 #> [10287,] 3.931071e-05 3.155173e-05 #> [10288,] 3.782122e-05 3.592666e-05 #> [10289,] 4.199886e-05 2.796084e-05 #> [10290,] 4.831389e-04 3.508023e-04 #> [10291,] 2.632953e-05 3.246311e-05 #> [10292,] 2.830483e-05 2.591508e-05 #> [10293,] 3.576086e-05 3.577896e-05 #> [10294,] 3.831324e-05 2.616658e-05 #> [10295,] 3.284341e-05 2.917056e-05 #> [10296,] 2.658251e-05 2.715050e-05 #> [10297,] 3.753039e-05 2.691150e-05 #> [10298,] 3.254692e-05 2.467054e-05 #> [10299,] 8.223821e-05 8.805015e-05 #> [10300,] 2.393411e-05 2.239078e-05 #> [10301,] 2.984471e-05 2.961205e-05 #> [10302,] 1.095481e-04 2.683270e-04 #> [10303,] 5.282577e-05 4.155187e-05 #> [10304,] 2.720994e-05 2.338253e-05 #> [10305,] 2.289532e-03 1.503755e-04 #> [10306,] 2.751403e-05 3.870906e-05 #> [10307,] 2.915425e-05 2.991739e-05 #> [10308,] 4.688567e-04 3.368741e-04 #> [10309,] 2.979966e-05 3.363833e-05 #> [10310,] 3.277983e-05 3.143197e-05 #> [10311,] 1.233679e-04 1.220536e-04 #> [10312,] 6.600718e-05 3.138997e-05 #> [10313,] 5.564319e-05 2.644264e-05 #> [10314,] 1.119747e-04 7.714658e-05 #> [10315,] 4.110035e-05 3.149875e-05 #> [10316,] 4.220792e-05 3.121378e-05 #> [10317,] 3.120550e-05 3.072130e-05 #> [10318,] 6.651851e-05 5.317154e-05 #> [10319,] 1.467756e-03 2.983063e-04 #> [10320,] 3.275245e-05 3.151578e-05 #> [10321,] 3.664602e-05 3.141178e-05 #> [10322,] 2.440644e-05 2.580769e-05 #> [10323,] 2.759890e-05 2.345443e-05 #> [10324,] 2.644300e-05 2.520409e-05 #> [10325,] 2.489993e-04 2.734111e-04 #> [10326,] 4.470007e-05 3.645460e-05 #> [10327,] 2.043372e-05 2.137271e-05 #> [10328,] 3.192817e-05 2.582796e-05 #> [10329,] 4.001117e-05 2.773465e-05 #> [10330,] 5.401535e-05 6.427524e-05 #> [10331,] 3.462888e-05 2.947316e-05 #> [10332,] 4.521078e-05 3.506850e-05 #> [10333,] 2.252751e-04 6.377313e-05 #> [10334,] 1.464497e-04 9.040712e-05 #> [10335,] 3.200842e-05 4.103631e-05 #> [10336,] 2.284571e-05 2.168169e-05 #> [10337,] 2.753261e-05 2.223518e-05 #> [10338,] 2.733191e-05 2.090113e-05 #> [10339,] 3.928800e-05 7.993505e-05 #> [10340,] 4.558933e-05 6.165425e-05 #> [10341,] 3.098062e-05 2.525288e-05 #> [10342,] 2.399685e-05 2.279138e-05 #> [10343,] 1.011740e-04 4.106405e-05 #> [10344,] 5.498890e-05 2.665926e-05 #> [10345,] 2.109218e-05 2.033386e-05 #> [10346,] 5.182639e-05 3.856245e-05 #> [10347,] 4.422177e-05 4.714705e-05 #> [10348,] 6.633983e-05 6.005355e-05 #> [10349,] 3.288246e-05 3.439029e-05 #> [10350,] 6.991763e-05 5.846707e-05 #> [10351,] 2.846800e-05 2.383986e-05 #> [10352,] 2.772591e-05 2.459810e-05 #> [10353,] 3.219655e-05 2.652535e-05 #> [10354,] 3.056648e-04 3.818117e-05 #> [10355,] 9.625183e-05 1.156178e-04 #> [10356,] 2.648308e-05 2.249894e-05 #> [10357,] 6.234770e-05 3.760390e-05 #> [10358,] 3.007398e-05 2.969403e-05 #> [10359,] 8.120829e-04 9.864128e-05 #> [10360,] 3.386502e-05 2.772714e-05 #> [10361,] 3.077982e-05 2.329748e-05 #> [10362,] 3.744234e-05 2.814624e-05 #> [10363,] 1.340555e-04 9.420854e-05 #> [10364,] 8.927705e-04 1.188568e-03 #> [10365,] 7.810559e-05 1.481409e-04 #> [10366,] 1.157198e-04 2.863147e-04 #> [10367,] 3.043485e-05 2.453504e-05 #> [10368,] 3.813691e-05 2.909634e-05 #> [10369,] 3.075902e-05 2.885257e-05 #> [10370,] 2.838946e-05 3.028324e-05 #> [10371,] 1.109792e-04 1.002268e-04 #> [10372,] 1.478186e-04 1.164277e-04 #> [10373,] 2.625241e-05 2.564293e-05 #> [10374,] 3.043069e-05 2.544227e-05 #> [10375,] 3.258152e-05 3.647336e-05 #> [10376,] 2.975962e-05 2.575903e-05 #> [10377,] 3.072272e-05 3.437710e-05 #> [10378,] 2.571336e-05 2.419670e-05 #> [10379,] 3.803363e-05 4.228003e-05 #> [10380,] 2.384804e-05 2.389125e-05 #> [10381,] 3.067016e-05 2.522772e-05 #> [10382,] 1.432139e-04 1.820315e-03 #> [10383,] 2.863443e-05 2.267791e-05 #> [10384,] 8.030522e-05 6.661056e-05 #> [10385,] 2.406654e-05 2.343017e-05 #> [10386,] 3.743257e-05 3.521677e-05 #> [10387,] 8.405234e-05 7.786318e-05 #> [10388,] 6.924819e-05 2.037317e-04 #> [10389,] 2.665272e-05 3.328969e-05 #> [10390,] 6.277403e-05 7.839180e-05 #> [10391,] 2.308291e-05 2.109072e-05 #> [10392,] 3.029224e-05 2.542756e-05 #> [10393,] 1.725891e-04 8.767307e-04 #> [10394,] 2.339071e-05 2.189838e-05 #> [10395,] 1.025394e-04 9.504977e-05 #> [10396,] 2.447113e-05 2.693250e-05 #> [10397,] 4.830373e-05 3.480595e-05 #> [10398,] 2.299355e-05 2.228490e-05 #> [10399,] 2.395354e-05 2.348368e-05 #> [10400,] 5.073778e-05 8.077752e-05 #> [10401,] 1.086089e-04 3.481268e-05 #> [10402,] 5.710438e-05 4.993124e-05 #> [10403,] 3.158189e-05 2.502647e-05 #> [10404,] 3.368218e-05 3.767355e-05 #> [10405,] 3.753754e-05 2.900165e-05 #> [10406,] 3.267551e-05 3.125736e-05 #> [10407,] 3.351077e-05 3.064853e-05 #> [10408,] 2.742770e-05 3.332755e-05 #> [10409,] 3.364884e-05 2.840495e-05 #> [10410,] 2.131805e-05 1.977173e-05 #> [10411,] 3.240397e-05 2.759758e-05 #> [10412,] 4.086624e-05 2.637610e-05 #> [10413,] 1.863506e-05 1.886517e-05 #> [10414,] 2.801142e-05 2.475434e-05 #> [10415,] 2.865675e-05 2.430539e-05 #> [10416,] 3.208886e-05 5.099451e-05 #> [10417,] 1.210027e-04 8.929892e-05 #> [10418,] 3.557623e-05 3.478578e-05 #> [10419,] 2.160382e-05 5.803565e-05 #> [10420,] 3.333179e-05 3.114687e-05 #> [10421,] 4.370258e-05 3.429224e-05 #> [10422,] 3.614761e-05 2.880991e-05 #> [10423,] 4.979315e-05 2.952674e-05 #> [10424,] 1.444079e-04 1.281756e-04 #> [10425,] 2.982047e-05 2.288335e-05 #> [10426,] 2.990861e-05 2.664588e-05 #> [10427,] 1.726422e-04 4.753916e-05 #> [10428,] 3.337284e-05 2.850650e-05 #> [10429,] 3.377304e-05 2.979768e-05 #> [10430,] 2.689567e-04 6.656135e-05 #> [10431,] 5.932312e-05 4.008061e-05 #> [10432,] 3.044030e-05 3.435966e-05 #> [10433,] 4.256506e-05 2.867186e-05 #> [10434,] 2.483613e-05 2.390280e-05 #> [10435,] 3.676389e-05 2.921470e-05 #> [10436,] 5.123776e-05 2.571584e-05 #> [10437,] 2.939721e-05 2.626136e-05 #> [10438,] 6.635187e-05 1.759303e-04 #> [10439,] 1.154248e-04 6.436149e-05 #> [10440,] 9.743830e-05 5.893340e-05 #> [10441,] 2.286787e-05 2.001645e-05 #> [10442,] 2.533576e-05 2.117059e-05 #> [10443,] 5.313374e-05 4.811897e-05 #> [10444,] 3.425843e-05 2.887059e-05 #> [10445,] 2.482840e-05 2.305819e-05 #> [10446,] 6.239874e-05 3.937478e-05 #> [10447,] 3.110992e-05 2.537944e-05 #> [10448,] 3.422488e-05 2.718447e-05 #> [10449,] 9.518554e-05 2.408091e-04 #> [10450,] 3.059909e-05 2.859790e-05 #> [10451,] 2.213515e-05 2.233733e-05 #> [10452,] 2.671665e-05 2.412749e-05 #> [10453,] 2.235574e-05 2.168259e-05 #> [10454,] 4.085280e-05 3.977953e-05 #> [10455,] 2.785762e-05 2.591529e-05 #> [10456,] 2.747173e-05 2.520522e-05 #> [10457,] 6.418583e-05 6.563773e-05 #> [10458,] 3.253116e-05 2.757438e-05 #> [10459,] 1.343616e-04 1.218324e-04 #> [10460,] 3.192867e-05 3.181751e-05 #> [10461,] 2.303081e-05 2.081922e-05 #> [10462,] 2.318278e-05 2.059075e-05 #> [10463,] 3.861339e-05 6.073402e-05 #> [10464,] 3.025839e-05 2.755629e-05 #> [10465,] 3.329891e-05 3.308049e-05 #> [10466,] 2.799472e-05 2.316595e-05 #> [10467,] 1.415811e-04 9.082419e-05 #> [10468,] 3.475957e-05 2.835769e-05 #> [10469,] 3.863187e-05 2.441628e-05 #> [10470,] 7.818604e-05 7.015738e-05 #> [10471,] 2.268189e-05 2.233801e-05 #> [10472,] 4.827299e-05 2.860209e-05 #> [10473,] 2.876816e-05 2.934791e-05 #> [10474,] 3.169927e-05 4.791184e-05 #> [10475,] 4.617015e-05 2.840058e-05 #> [10476,] 3.496159e-05 3.078991e-05 #> [10477,] 2.761526e-05 2.359043e-05 #> [10478,] 3.779813e-05 3.197260e-05 #> [10479,] 4.524395e-05 5.945092e-05 #> [10480,] 5.525033e-05 5.395852e-05 #> [10481,] 2.884164e-05 2.549941e-05 #> [10482,] 2.797816e-05 2.347001e-05 #> [10483,] 4.688821e-05 2.915775e-05 #> [10484,] 3.458709e-05 2.483210e-05 #> [10485,] 2.516768e-05 2.382567e-05 #> [10486,] 3.258860e-05 2.727093e-05 #> [10487,] 2.980131e-05 2.599660e-05 #> [10488,] 2.513390e-04 2.935994e-05 #> [10489,] 4.308438e-05 3.653542e-05 #> [10490,] 2.519766e-05 2.480866e-05 #> [10491,] 3.014785e-05 2.748310e-05 #> [10492,] 1.250761e-04 3.108163e-05 #> [10493,] 5.049254e-05 4.271775e-05 #> [10494,] 2.154230e-05 2.211273e-05 #> [10495,] 4.071708e-05 3.236109e-05 #> [10496,] 5.137112e-05 2.916680e-05 #> [10497,] 3.523421e-05 3.760380e-05 #> [10498,] 4.761886e-05 3.494927e-05 #> [10499,] 4.482478e-05 2.132516e-04 #> [10500,] 2.717876e-05 2.539335e-05 #> [10501,] 3.336168e-05 3.001506e-05 #> [10502,] 3.376936e-05 3.064102e-05 #> [10503,] 2.709965e-05 2.228017e-05 #> [10504,] 2.404686e-05 4.418623e-05 #> [10505,] 3.410705e-05 4.178948e-05 #> [10506,] 6.978411e-05 5.305109e-05 #> [10507,] 1.788341e-04 3.695648e-05 #> [10508,] 3.338638e-05 2.823112e-05 #> [10509,] 1.041507e-04 5.341173e-05 #> [10510,] 2.463280e-05 2.327079e-05 #> [10511,] 3.648063e-04 1.883706e-04 #> [10512,] 3.204939e-05 2.748258e-05 #> [10513,] 3.920732e-05 4.663252e-05 #> [10514,] 3.901017e-05 2.670135e-05 #> [10515,] 7.090284e-05 2.537658e-05 #> [10516,] 4.719646e-05 3.351293e-05 #> [10517,] 2.535756e-05 2.266814e-05 #> [10518,] 4.291156e-05 3.012890e-05 #> [10519,] 9.471933e-05 3.123590e-05 #> [10520,] 7.316524e-05 1.459164e-04 #> [10521,] 3.844686e-05 2.093344e-04 #> [10522,] 3.157308e-05 4.344581e-05 #> [10523,] 3.900814e-05 3.220615e-05 #> [10524,] 3.317636e-05 2.623086e-05 #> [10525,] 3.691198e-05 2.557288e-05 #> [10526,] 1.747923e-04 1.100242e-04 #> [10527,] 2.755965e-05 2.611010e-05 #> [10528,] 3.946078e-05 3.504630e-05 #> [10529,] 2.670265e-05 2.279017e-05 #> [10530,] 3.084154e-05 2.689883e-05 #> [10531,] 3.096660e-05 2.675483e-05 #> [10532,] 6.707950e-05 3.430347e-05 #> [10533,] 3.573020e-05 3.983819e-05 #> [10534,] 3.508566e-05 2.992361e-05 #> [10535,] 2.569901e-05 2.289397e-05 #> [10536,] 3.861174e-05 5.129935e-05 #> [10537,] 3.192909e-05 2.770468e-05 #> [10538,] 3.163447e-05 2.227569e-05 #> [10539,] 3.649906e-05 3.826875e-05 #> [10540,] 3.199520e-05 2.762276e-05 #> [10541,] 2.738166e-05 2.300071e-05 #> [10542,] 8.255371e-05 3.677010e-05 #> [10543,] 2.969823e-05 2.724434e-05 #> [10544,] 3.151376e-05 2.658857e-05 #> [10545,] 4.014528e-05 2.494518e-05 #> [10546,] 5.824967e-05 6.349820e-05 #> [10547,] 3.368283e-05 2.640419e-05 #> [10548,] 5.151558e-05 2.759135e-05 #> [10549,] 3.065855e-05 2.521527e-05 #> [10550,] 3.992028e-05 2.051306e-05 #> [10551,] 5.022562e-05 4.789795e-05 #> [10552,] 1.224022e-04 2.782767e-04 #> [10553,] 2.411950e-05 2.986116e-05 #> [10554,] 2.982283e-05 6.270897e-05 #> [10555,] 3.625164e-05 2.586728e-05 #> [10556,] 2.905944e-05 3.869895e-05 #> [10557,] 3.465514e-05 2.446978e-05 #> [10558,] 3.041113e-05 2.593204e-05 #> [10559,] 3.077825e-05 2.549748e-05 #> [10560,] 2.985661e-05 2.589229e-05 #> [10561,] 2.833224e-05 3.482884e-05 #> [10562,] 3.842263e-05 3.842779e-05 #> [10563,] 2.746955e-05 2.627594e-05 #> [10564,] 4.450411e-05 4.002996e-05 #> [10565,] 2.336885e-05 2.522434e-05 #> [10566,] 2.689927e-05 2.649370e-05 #> [10567,] 3.299586e-05 3.478788e-05 #> [10568,] 1.091396e-04 7.447573e-05 #> [10569,] 3.756956e-05 4.131273e-05 #> [10570,] 4.260501e-05 4.858303e-05 #> [10571,] 6.175774e-05 3.518332e-05 #> [10572,] 2.415055e-05 2.382257e-05 #> [10573,] 3.664971e-05 1.380337e-04 #> [10574,] 3.491957e-05 2.401998e-05 #> [10575,] 3.603067e-05 3.003260e-05 #> [10576,] 2.361288e-05 2.151379e-05 #> [10577,] 2.264174e-05 2.116794e-05 #> [10578,] 2.867030e-05 2.893827e-05 #> [10579,] 5.649976e-05 3.848339e-05 #> [10580,] 3.882846e-05 3.131117e-05 #> [10581,] 5.103181e-04 3.934776e-04 #> [10582,] 4.524218e-05 3.325360e-05 #> [10583,] 8.551539e-05 5.955554e-05 #> [10584,] 3.578955e-05 4.175989e-05 #> [10585,] 6.110820e-05 4.190703e-05 #> [10586,] 1.429955e-04 4.614886e-05 #> [10587,] 2.645018e-05 2.441656e-05 #> [10588,] 2.851043e-05 2.345305e-05 #> [10589,] 4.033659e-05 4.951608e-05 #> [10590,] 2.294792e-05 2.237839e-05 #> [10591,] 3.286253e-05 2.670828e-05 #> [10592,] 3.183826e-05 3.225646e-05 #> [10593,] 3.344885e-05 2.668221e-05 #> [10594,] 5.809885e-05 1.003584e-04 #> [10595,] 5.488595e-05 9.268870e-05 #> [10596,] 8.465089e-05 4.763372e-05 #> [10597,] 2.206396e-05 2.485482e-05 #> [10598,] 6.494617e-05 3.612996e-05 #> [10599,] 6.331964e-05 2.680585e-05 #> [10600,] 1.681231e-03 1.583295e-03 #> [10601,] 9.283050e-05 7.384028e-05 #> [10602,] 3.266597e-05 3.269389e-05 #> [10603,] 3.641931e-05 3.278462e-05 #> [10604,] 2.649475e-05 2.416107e-05 #> [10605,] 4.347439e-05 5.334280e-05 #> [10606,] 5.716870e-05 3.126521e-04 #> [10607,] 1.224768e-04 1.640195e-04 #> [10608,] 2.702272e-05 2.301426e-05 #> [10609,] 4.619543e-05 2.308546e-04 #> [10610,] 2.251564e-05 2.137567e-05 #> [10611,] 2.856184e-05 2.196761e-05 #> [10612,] 9.206955e-05 8.079905e-04 #> [10613,] 5.380787e-05 3.820353e-05 #> [10614,] 2.191424e-05 2.236530e-05 #> [10615,] 2.372450e-05 2.184364e-05 #> [10616,] 2.868992e-05 2.314322e-05 #> [10617,] 3.178436e-05 2.800772e-05 #> [10618,] 2.514761e-05 2.267154e-05 #> [10619,] 2.867265e-04 6.467992e-05 #> [10620,] 3.759409e-05 3.153796e-05 #> [10621,] 6.146911e-05 3.000147e-05 #> [10622,] 3.513852e-05 2.884347e-05 #> [10623,] 2.312686e-05 2.196420e-05 #> [10624,] 2.755854e-05 2.267086e-05 #> [10625,] 3.515543e-05 2.711342e-05 #> [10626,] 9.710667e-05 8.039681e-05 #> [10627,] 4.228824e-05 2.911928e-05 #> [10628,] 2.936875e-05 2.735483e-05 #> [10629,] 3.611873e-05 2.778064e-05 #> [10630,] 2.414821e-05 2.186116e-05 #> [10631,] 3.301301e-05 2.879021e-05 #> [10632,] 3.656104e-05 3.006731e-05 #> [10633,] 4.504825e-05 3.440748e-05 #> [10634,] 2.985785e-05 2.571833e-05 #> [10635,] 2.941129e-05 3.655478e-05 #> [10636,] 3.678691e-05 2.439181e-05 #> [10637,] 3.962096e-05 2.880829e-05 #> [10638,] 2.674325e-05 2.415895e-05 #> [10639,] 9.330803e-05 3.136516e-05 #> [10640,] 9.110745e-05 1.048213e-04 #> [10641,] 2.867478e-05 2.537642e-05 #> [10642,] 4.840124e-05 3.175873e-05 #> [10643,] 4.039129e-05 3.086461e-05 #> [10644,] 1.324728e-03 1.532342e-03 #> [10645,] 3.108205e-05 3.537502e-05 #> [10646,] 2.989087e-05 2.818903e-05 #> [10647,] 4.800669e-05 2.656799e-05 #> [10648,] 3.155510e-05 2.676143e-05 #> [10649,] 4.445974e-04 8.580841e-05 #> [10650,] 3.691048e-05 3.427534e-05 #> [10651,] 2.971850e-05 2.385972e-05 #> [10652,] 2.620401e-05 2.586972e-05 #> [10653,] 2.321065e-04 6.650425e-04 #> [10654,] 5.773802e-05 3.679573e-05 #> [10655,] 3.167771e-05 2.598290e-05 #> [10656,] 4.044920e-05 8.655468e-05 #> [10657,] 2.934553e-05 3.677830e-05 #> [10658,] 2.260400e-05 2.130877e-05 #> [10659,] 1.926165e-04 3.237893e-04 #> [10660,] 2.751556e-05 2.707365e-05 #> [10661,] 2.702818e-04 3.074108e-04 #> [10662,] 4.630638e-05 3.407397e-05 #> [10663,] 5.652703e-05 3.645221e-05 #> [10664,] 7.207268e-05 5.138303e-05 #> [10665,] 4.528473e-05 4.876192e-05 #> [10666,] 3.632637e-05 2.770634e-05 #> [10667,] 7.877467e-05 3.868352e-05 #> [10668,] 4.722374e-05 3.046324e-05 #> [10669,] 2.455171e-04 3.375479e-05 #> [10670,] 3.256635e-04 3.357494e-04 #> [10671,] 6.380893e-05 3.602081e-04 #> [10672,] 3.575343e-05 3.331970e-05 #> [10673,] 2.369233e-05 2.249916e-05 #> [10674,] 2.864134e-05 5.561393e-05 #> [10675,] 4.324062e-05 1.971950e-04 #> [10676,] 4.229956e-05 4.138116e-05 #> [10677,] 2.680410e-05 2.407543e-05 #> [10678,] 8.445811e-04 1.954588e-04 #> [10679,] 4.233411e-05 2.937940e-05 #> [10680,] 4.251362e-05 6.182699e-05 #> [10681,] 3.364788e-05 3.760110e-05 #> [10682,] 2.990691e-05 3.031671e-05 #> [10683,] 3.767091e-05 3.734451e-05 #> [10684,] 3.705570e-05 3.685938e-05 #> [10685,] 2.677167e-05 3.869550e-05 #> [10686,] 3.206901e-05 2.706902e-05 #> [10687,] 4.967633e-05 5.720608e-05 #> [10688,] 3.384598e-05 3.363165e-05 #> [10689,] 1.387267e-04 1.085687e-04 #> [10690,] 3.120234e-05 3.242245e-05 #> [10691,] 1.269328e-04 4.554496e-04 #> [10692,] 3.058999e-05 4.833601e-05 #> [10693,] 3.637820e-05 2.853148e-05 #> [10694,] 3.651107e-05 2.772743e-05 #> [10695,] 3.253934e-05 2.776859e-05 #> [10696,] 4.544349e-05 3.466628e-05 #> [10697,] 2.530219e-05 2.282340e-05 #> [10698,] 2.474539e-05 2.274997e-05 #> [10699,] 3.804113e-05 3.394356e-05 #> [10700,] 1.087975e-04 2.718542e-04 #> [10701,] 2.757970e-05 4.257494e-05 #> [10702,] 4.141213e-05 3.556712e-05 #> [10703,] 3.076298e-04 4.154518e-04 #> [10704,] 9.219110e-04 2.686858e-04 #> [10705,] 6.004063e-05 4.702181e-05 #> [10706,] 2.946929e-05 2.630973e-05 #> [10707,] 3.088457e-05 2.626466e-05 #> [10708,] 3.634180e-05 4.552697e-05 #> [10709,] 3.378816e-05 3.289960e-05 #> [10710,] 3.443187e-05 2.851569e-05 #> [10711,] 2.565191e-05 2.431897e-05 #> [10712,] 4.117274e-05 3.847906e-05 #> [10713,] 3.264495e-05 2.793401e-05 #> [10714,] 3.948307e-04 8.619528e-05 #> [10715,] 3.334464e-05 3.266218e-05 #> [10716,] 2.854696e-05 2.567171e-05 #> [10717,] 2.860502e-05 2.379677e-05 #> [10718,] 2.415145e-05 2.021936e-05 #> [10719,] 2.915637e-04 2.795041e-05 #> [10720,] 1.258890e-04 4.470731e-04 #> [10721,] 5.928116e-05 1.980088e-04 #> [10722,] 4.338216e-05 2.779894e-05 #> [10723,] 3.155716e-05 2.973536e-05 #> [10724,] 2.726843e-05 2.068837e-05 #> [10725,] 2.086843e-04 7.282320e-04 #> [10726,] 4.265517e-05 2.913888e-05 #> [10727,] 3.196500e-05 2.655206e-05 #> [10728,] 3.024788e-05 6.708449e-05 #> [10729,] 2.967442e-05 2.537037e-05 #> [10730,] 3.441214e-05 3.724087e-05 #> [10731,] 1.022684e-03 1.406693e-04 #> [10732,] 2.920204e-05 3.869048e-05 #> [10733,] 3.197837e-05 8.198953e-05 #> [10734,] 2.761227e-05 2.478493e-05 #> [10735,] 3.228377e-05 3.128407e-05 #> [10736,] 4.064456e-05 3.276427e-05 #> [10737,] 3.243535e-05 2.598882e-05 #> [10738,] 2.348934e-05 2.410798e-05 #> [10739,] 2.779129e-05 2.332238e-05 #> [10740,] 4.502628e-05 7.191234e-05 #> [10741,] 3.533861e-05 3.211655e-05 #> [10742,] 3.636709e-05 3.047301e-05 #> [10743,] 3.010485e-05 3.099362e-05 #> [10744,] 6.941386e-05 4.050520e-05 #> [10745,] 1.988248e-04 2.081416e-04 #> [10746,] 2.808762e-05 6.918665e-05 #> [10747,] 2.618120e-05 2.507652e-05 #> [10748,] 2.930969e-05 2.742494e-05 #> [10749,] 3.939527e-05 2.969284e-05 #> [10750,] 3.878816e-05 3.597327e-05 #> [10751,] 4.855977e-05 6.141132e-05 #> [10752,] 3.746896e-05 2.807112e-05 #> [10753,] 2.826141e-05 2.375505e-05 #> [10754,] 5.552051e-05 9.481786e-05 #> [10755,] 9.458243e-05 4.664394e-05 #> [10756,] 2.626908e-05 2.332663e-05 #> [10757,] 2.720769e-05 2.435802e-05 #> [10758,] 2.207651e-05 2.486501e-05 #> [10759,] 5.550347e-05 8.998980e-05 #> [10760,] 5.726046e-04 1.951080e-03 #> [10761,] 5.563627e-05 7.771006e-05 #> [10762,] 3.325278e-05 3.474258e-05 #> [10763,] 2.660535e-05 2.348755e-05 #> [10764,] 3.396543e-05 2.966595e-05 #> [10765,] 5.066759e-05 3.824945e-05 #> [10766,] 7.017949e-05 3.614861e-05 #> [10767,] 4.235150e-05 3.238772e-05 #> [10768,] 3.084839e-05 2.349341e-05 #> [10769,] 3.002155e-05 2.412813e-05 #> [10770,] 4.588918e-05 5.774319e-05 #> [10771,] 5.187516e-05 3.133358e-05 #> [10772,] 2.640204e-05 2.349040e-05 #> [10773,] 1.202499e-04 1.669849e-04 #> [10774,] 4.146777e-05 3.625149e-05 #> [10775,] 4.375476e-05 3.176410e-05 #> [10776,] 3.050796e-05 2.818097e-05 #> [10777,] 7.095779e-05 3.235667e-05 #> [10778,] 2.317438e-05 2.406196e-05 #> [10779,] 2.723796e-05 3.481571e-05 #> [10780,] 3.111346e-05 2.524162e-05 #> [10781,] 2.806316e-05 2.169504e-05 #> [10782,] 1.383673e-04 6.896327e-05 #> [10783,] 2.807535e-05 2.383576e-05 #> [10784,] 3.614316e-05 3.382153e-05 #> [10785,] 1.148264e-04 1.331112e-04 #> [10786,] 2.760119e-05 3.731653e-05 #> [10787,] 6.698525e-05 5.110248e-05 #> [10788,] 5.073230e-05 2.942117e-05 #> [10789,] 5.073983e-05 3.987285e-05 #> [10790,] 5.106531e-05 2.823438e-05 #> [10791,] 2.605015e-04 1.214249e-04 #> [10792,] 5.942887e-05 9.784906e-05 #> [10793,] 2.833573e-05 3.785255e-05 #> [10794,] 2.018807e-04 1.026766e-04 #> [10795,] 2.765058e-05 2.174025e-05 #> [10796,] 3.301657e-05 2.964410e-05 #> [10797,] 2.200643e-05 2.169198e-05 #> [10798,] 4.067489e-05 3.685357e-05 #> [10799,] 7.950381e-05 2.880838e-05 #> [10800,] 3.964937e-05 3.776640e-05 #> [10801,] 2.784473e-04 3.020332e-04 #> [10802,] 3.806366e-05 2.482940e-05 #> [10803,] 6.720721e-05 1.415171e-04 #> [10804,] 3.064993e-05 2.574371e-05 #> [10805,] 2.265331e-05 2.766683e-05 #> [10806,] 3.427320e-05 2.759051e-05 #> [10807,] 3.442293e-05 2.890688e-05 #> [10808,] 1.138692e-04 3.744952e-05 #> [10809,] 5.356028e-05 3.529715e-05 #> [10810,] 6.473332e-04 3.878580e-04 #> [10811,] 4.102941e-04 1.730708e-04 #> [10812,] 3.340889e-05 3.023159e-05 #> [10813,] 2.438009e-05 2.231707e-05 #> [10814,] 3.518705e-05 3.893507e-05 #> [10815,] 2.884333e-05 2.467138e-05 #> [10816,] 6.204348e-05 2.227419e-04 #> [10817,] 2.858749e-05 2.533281e-05 #> [10818,] 4.039959e-05 3.780864e-05 #> [10819,] 4.111583e-05 6.386179e-05 #> [10820,] 3.137962e-05 2.562187e-05 #> [10821,] 2.592233e-05 2.455653e-05 #> [10822,] 7.814795e-05 2.874274e-04 #> [10823,] 1.380189e-04 9.522826e-05 #> [10824,] 3.309480e-05 3.648220e-05 #> [10825,] 2.758873e-05 2.494053e-05 #> [10826,] 2.902538e-05 2.628759e-05 #> [10827,] 7.301710e-05 6.513439e-05 #> [10828,] 5.899761e-05 6.151643e-05 #> [10829,] 2.855475e-05 2.671905e-05 #> [10830,] 3.361321e-05 3.267854e-05 #> [10831,] 2.833732e-05 2.648081e-05 #> [10832,] 3.074359e-05 4.520300e-05 #> [10833,] 3.501338e-05 2.967015e-05 #> [10834,] 1.417456e-03 1.737070e-04 #> [10835,] 2.527856e-05 2.198909e-05 #> [10836,] 2.029806e-04 5.619988e-05 #> [10837,] 2.280706e-05 2.337278e-05 #> [10838,] 2.691565e-05 2.445458e-05 #> [10839,] 2.589967e-05 2.450739e-05 #> [10840,] 3.186035e-05 2.633028e-05 #> [10841,] 4.482466e-05 3.285162e-05 #> [10842,] 3.285911e-05 3.366245e-05 #> [10843,] 3.843103e-05 2.675849e-05 #> [10844,] 3.030194e-05 2.782988e-05 #> [10845,] 3.976230e-05 3.111135e-05 #> [10846,] 3.140261e-05 2.443660e-05 #> [10847,] 2.816201e-05 4.981175e-05 #> [10848,] 3.596702e-05 2.863705e-05 #> [10849,] 2.532689e-05 2.859121e-05 #> [10850,] 3.007757e-05 2.502973e-05 #> [10851,] 3.206787e-05 2.821900e-05 #> [10852,] 5.433781e-05 1.050350e-04 #> [10853,] 1.058613e-04 1.777495e-04 #> [10854,] 2.966494e-05 2.738060e-05 #> [10855,] 2.293405e-05 2.667737e-05 #> [10856,] 2.601503e-05 2.384803e-05 #> [10857,] 3.316035e-05 2.861272e-05 #> [10858,] 2.336797e-05 2.166086e-05 #> [10859,] 3.134076e-05 2.833795e-05 #> [10860,] 2.799592e-05 2.895453e-05 #> [10861,] 3.368717e-05 4.671425e-05 #> [10862,] 5.471822e-05 6.406882e-05 #> [10863,] 3.086814e-05 2.764931e-05 #> [10864,] 6.002456e-05 4.247953e-05 #> [10865,] 2.951233e-05 2.420504e-05 #> [10866,] 2.458683e-05 2.351235e-05 #> [10867,] 3.097877e-04 3.478801e-04 #> [10868,] 3.082622e-05 2.778009e-05 #> [10869,] 3.291975e-05 3.155509e-05 #> [10870,] 3.172075e-05 2.803977e-05 #> [10871,] 2.463384e-05 3.296746e-05 #> [10872,] 3.666572e-05 2.659872e-05 #> [10873,] 6.071693e-05 2.140751e-05 #> [10874,] 2.668156e-05 2.589008e-05 #> [10875,] 2.926089e-05 2.855368e-05 #> [10876,] 4.505096e-05 6.625214e-05 #> [10877,] 2.296049e-05 1.974135e-05 #> [10878,] 2.523387e-05 2.228484e-05 #> [10879,] 6.369228e-05 6.102391e-05 #> [10880,] 2.215319e-05 2.149680e-05 #> [10881,] 2.545103e-05 2.292502e-05 #> [10882,] 2.176843e-04 3.110336e-05 #> [10883,] 2.416027e-05 2.146881e-05 #> [10884,] 2.838399e-05 2.508134e-05 #> [10885,] 2.690747e-05 2.150500e-05 #> [10886,] 8.006874e-05 1.463677e-04 #> [10887,] 2.441680e-05 2.189326e-05 #> [10888,] 4.912573e-05 2.243617e-05 #> [10889,] 2.625061e-05 2.156459e-05 #> [10890,] 3.209239e-05 2.786042e-05 #> [10891,] 3.055416e-05 2.516188e-05 #> [10892,] 3.821444e-05 3.340483e-05 #> [10893,] 5.494073e-05 4.457199e-05 #> [10894,] 2.779572e-04 2.640962e-04 #> [10895,] 3.899224e-05 2.813249e-05 #> [10896,] 4.438358e-05 2.776428e-05 #> [10897,] 8.056110e-05 4.734086e-05 #> [10898,] 3.074216e-05 2.643147e-05 #> [10899,] 3.545552e-05 3.058164e-05 #> [10900,] 4.314188e-05 7.450435e-05 #> [10901,] 2.842221e-05 2.372406e-05 #> [10902,] 2.500502e-05 2.178359e-05 #> [10903,] 3.552303e-05 6.476309e-05 #> [10904,] 3.254269e-05 4.074649e-05 #> [10905,] 4.045657e-05 4.124806e-05 #> [10906,] 2.765803e-05 2.205979e-05 #> [10907,] 3.302311e-05 2.688351e-05 #> [10908,] 3.327202e-05 3.055227e-05 #> [10909,] 3.906993e-05 3.578064e-05 #> [10910,] 3.180128e-05 3.418773e-05 #> [10911,] 3.343947e-05 2.672410e-05 #> [10912,] 2.545267e-05 2.263388e-05 #> [10913,] 6.530471e-04 1.695977e-04 #> [10914,] 3.711460e-05 2.948754e-05 #> [10915,] 3.158815e-05 2.678006e-05 #> [10916,] 2.272069e-05 2.042110e-05 #> [10917,] 5.460182e-04 1.002720e-04 #> [10918,] 1.181136e-04 1.193879e-04 #> [10919,] 1.346801e-04 6.318660e-05 #> [10920,] 2.455519e-05 2.400228e-05 #> [10921,] 2.563301e-05 2.490428e-05 #> [10922,] 3.031849e-05 2.627272e-05 #> [10923,] 3.041678e-05 2.663401e-05 #> [10924,] 3.544348e-05 3.330150e-05 #> [10925,] 4.372529e-05 3.643873e-05 #> [10926,] 3.628009e-05 5.810051e-05 #> [10927,] 2.926331e-05 2.734290e-05 #> [10928,] 3.683149e-05 3.347809e-05 #> [10929,] 2.967184e-05 2.463331e-05 #> [10930,] 2.368574e-05 2.183248e-05 #> [10931,] 2.614387e-05 2.505393e-05 #> [10932,] 4.617972e-05 4.971265e-05 #> [10933,] 2.613985e-05 1.946527e-05 #> [10934,] 4.709974e-05 4.834005e-05 #> [10935,] 2.708142e-05 1.029555e-04 #> [10936,] 6.696118e-05 4.362876e-05 #> [10937,] 3.382829e-05 2.769273e-05 #> [10938,] 1.488604e-04 4.402175e-05 #> [10939,] 4.006747e-05 2.809598e-05 #> [10940,] 2.322715e-05 2.545765e-05 #> [10941,] 2.315664e-04 1.352024e-04 #> [10942,] 2.348364e-05 2.312140e-05 #> [10943,] 2.755904e-05 2.316530e-05 #> [10944,] 3.244996e-05 2.742174e-05 #> [10945,] 3.912136e-05 4.779357e-05 #> [10946,] 3.210035e-05 4.602657e-05 #> [10947,] 7.625331e-05 9.542346e-05 #> [10948,] 5.337151e-05 3.378021e-05 #> [10949,] 2.434123e-05 2.383945e-05 #> [10950,] 2.548002e-05 2.256589e-05 #> [10951,] 3.577041e-05 2.604959e-05 #> [10952,] 2.336537e-05 2.193855e-05 #> [10953,] 4.303834e-05 3.674541e-05 #> [10954,] 4.540569e-05 3.283871e-05 #> [10955,] 2.613660e-05 2.179292e-05 #> [10956,] 1.211938e-04 1.219071e-04 #> [10957,] 2.785736e-05 2.421867e-05 #> [10958,] 2.090207e-05 2.034086e-05 #> [10959,] 2.787296e-05 2.454244e-05 #> [10960,] 1.255676e-04 1.829424e-04 #> [10961,] 5.097387e-04 1.455303e-04 #> [10962,] 5.536192e-05 3.004020e-05 #> [10963,] 6.154394e-04 4.745433e-04 #> [10964,] 3.881808e-05 3.745302e-05 #> [10965,] 3.908806e-05 3.559426e-05 #> [10966,] 2.674397e-05 2.500279e-05 #> [10967,] 7.214635e-05 3.512583e-04 #> [10968,] 4.885220e-05 3.194102e-05 #> [10969,] 4.472249e-05 7.447321e-05 #> [10970,] 4.195566e-05 2.836285e-05 #> [10971,] 2.949728e-04 1.342884e-03 #> [10972,] 4.141354e-05 3.182280e-05 #> [10973,] 3.094054e-05 3.237153e-05 #> [10974,] 3.448408e-05 3.015343e-05 #> [10975,] 2.573826e-05 2.038784e-05 #> [10976,] 2.798354e-05 2.258945e-05 #> [10977,] 9.844845e-05 2.798309e-05 #> [10978,] 6.266371e-05 2.686503e-04 #> [10979,] 2.720697e-05 2.266924e-05 #> [10980,] 2.559786e-05 3.220621e-05 #> [10981,] 2.700734e-05 2.389250e-05 #> [10982,] 3.524473e-05 2.542509e-05 #> [10983,] 1.011825e-04 1.268395e-04 #> [10984,] 3.022642e-05 2.760374e-05 #> [10985,] 2.482632e-05 2.411081e-05 #> [10986,] 4.114777e-05 3.137788e-05 #> [10987,] 2.878584e-05 2.410304e-05 #> [10988,] 3.108060e-05 3.417614e-05 #> [10989,] 3.585115e-05 3.175150e-05 #> [10990,] 2.849680e-05 3.876504e-05 #> [10991,] 3.449025e-05 2.962533e-05 #> [10992,] 1.639358e-04 9.326588e-05 #> [10993,] 3.305178e-05 2.879662e-05 #> [10994,] 6.963399e-05 4.000548e-05 #> [10995,] 3.232839e-05 2.913999e-05 #> [10996,] 2.130217e-05 2.078004e-05 #> [10997,] 3.730412e-05 2.548791e-05 #> [10998,] 2.016374e-04 4.410506e-04 #> [10999,] 3.937695e-05 3.002282e-05 #> [11000,] 2.378304e-05 2.337545e-05 #> [11001,] 3.246247e-05 3.296267e-05 #> [11002,] 2.762972e-05 2.777720e-05 #> [11003,] 2.434932e-05 2.199439e-05 #> [11004,] 2.549015e-04 4.568508e-04 #> [11005,] 6.273898e-05 5.813891e-05 #> [11006,] 7.303132e-05 1.171747e-04 #> [11007,] 3.109525e-05 2.869134e-05 #> [11008,] 7.102400e-05 4.182142e-05 #> [11009,] 4.149919e-05 4.121111e-05 #> [11010,] 2.348695e-05 2.370900e-05 #> [11011,] 5.264356e-05 2.492770e-05 #> [11012,] 4.076432e-05 2.868052e-05 #> [11013,] 4.927119e-04 7.406686e-04 #> [11014,] 3.575952e-05 2.625541e-05 #> [11015,] 2.974872e-05 2.786818e-05 #> [11016,] 7.206165e-05 6.071366e-05 #> [11017,] 6.759161e-05 7.258742e-05 #> [11018,] 1.782826e-04 2.280450e-04 #> [11019,] 3.185893e-05 2.985879e-05 #> [11020,] 3.113747e-05 3.007518e-05 #> [11021,] 5.905234e-05 4.040029e-04 #> [11022,] 3.214619e-05 2.650484e-05 #> [11023,] 2.833828e-05 2.569576e-05 #> [11024,] 5.320045e-05 4.005731e-05 #> [11025,] 3.083935e-05 2.597726e-05 #> [11026,] 2.825015e-05 2.841502e-05 #> [11027,] 3.048840e-05 2.487357e-05 #> [11028,] 2.424470e-05 2.124955e-05 #> [11029,] 3.877960e-05 4.808822e-05 #> [11030,] 7.958466e-05 7.664495e-05 #> [11031,] 2.641549e-05 2.520325e-05 #> [11032,] 4.027503e-05 3.236155e-05 #> [11033,] 3.539907e-05 2.637806e-05 #> [11034,] 3.174170e-05 2.977949e-05 #> [11035,] 3.157206e-05 5.264255e-05 #> [11036,] 4.411397e-05 3.120558e-05 #> [11037,] 7.918227e-04 2.009561e-04 #> [11038,] 6.592171e-05 3.523305e-05 #> [11039,] 3.975911e-05 4.253076e-05 #> [11040,] 2.807297e-05 2.845713e-05 #> [11041,] 3.117393e-05 2.456874e-05 #> [11042,] 1.054408e-04 6.009155e-05 #> [11043,] 3.871940e-05 4.571225e-05 #> [11044,] 5.893528e-05 5.315946e-05 #> [11045,] 3.449426e-05 2.829839e-05 #> [11046,] 4.679130e-05 2.953307e-05 #> [11047,] 2.178941e-05 2.216713e-05 #> [11048,] 3.710693e-05 5.299875e-05 #> [11049,] 4.124108e-05 7.122422e-05 #> [11050,] 2.405659e-05 2.271114e-05 #> [11051,] 4.116940e-05 4.497902e-05 #> [11052,] 2.534108e-05 2.149794e-05 #> [11053,] 4.021521e-05 3.961357e-05 #> [11054,] 5.917698e-05 6.903907e-05 #> [11055,] 6.620593e-05 2.965292e-05 #> [11056,] 3.531389e-05 2.874641e-05 #> [11057,] 2.313984e-05 2.342110e-05 #> [11058,] 5.559538e-04 1.144338e-04 #> [11059,] 1.706443e-04 2.097859e-04 #> [11060,] 7.416897e-05 1.825574e-04 #> [11061,] 3.765810e-05 4.054505e-05 #> [11062,] 4.064135e-05 3.277081e-05 #> [11063,] 4.500026e-05 2.776150e-05 #> [11064,] 6.569253e-05 8.179376e-05 #> [11065,] 2.797104e-05 2.411071e-05 #> [11066,] 8.079988e-05 3.437371e-05 #> [11067,] 3.110523e-05 2.893974e-05 #> [11068,] 1.635694e-04 5.454733e-05 #> [11069,] 2.486188e-04 6.848949e-05 #> [11070,] 3.125067e-05 2.490351e-05 #> [11071,] 3.742066e-05 3.023483e-05 #> [11072,] 5.592298e-05 3.756332e-05 #> [11073,] 3.820900e-05 2.838798e-05 #> [11074,] 3.400501e-05 2.695131e-05 #> [11075,] 3.102814e-05 2.500903e-05 #> [11076,] 3.834422e-05 2.711206e-05 #> [11077,] 2.643840e-05 2.126209e-05 #> [11078,] 2.745435e-05 2.494628e-05 #> [11079,] 3.440983e-05 3.084618e-05 #> [11080,] 5.567530e-05 6.250487e-05 #> [11081,] 1.095035e-04 1.143068e-04 #> [11082,] 3.156155e-05 2.208525e-05 #> [11083,] 3.542595e-05 2.903954e-05 #> [11084,] 4.361033e-05 1.415116e-04 #> [11085,] 3.206431e-05 2.681779e-05 #> [11086,] 3.279580e-05 3.747221e-05 #> [11087,] 2.609999e-05 2.327875e-05 #> [11088,] 2.813937e-05 2.456504e-05 #> [11089,] 2.950420e-05 2.760365e-05 #> [11090,] 2.609112e-05 3.073429e-05 #> [11091,] 3.561192e-05 2.775330e-05 #> [11092,] 1.418549e-04 3.471783e-05 #> [11093,] 2.553033e-05 2.450531e-05 #> [11094,] 3.241662e-05 3.203532e-05 #> [11095,] 4.262183e-05 2.380321e-05 #> [11096,] 1.640979e-04 8.783615e-04 #> [11097,] 3.052272e-05 2.932883e-05 #> [11098,] 3.041666e-05 6.213642e-05 #> [11099,] 5.118715e-05 6.644917e-05 #> [11100,] 1.534333e-04 1.390750e-03 #> [11101,] 3.089715e-05 2.779503e-05 #> [11102,] 2.436426e-05 2.391494e-05 #> [11103,] 4.046256e-05 2.945764e-05 #> [11104,] 2.071423e-05 2.006111e-05 #> [11105,] 1.090277e-04 1.842112e-03 #> [11106,] 2.138821e-05 2.202957e-05 #> [11107,] 3.499268e-05 3.489023e-05 #> [11108,] 3.088207e-05 2.520315e-05 #> [11109,] 4.106982e-05 4.916186e-05 #> [11110,] 5.441882e-04 3.850261e-04 #> [11111,] 3.276058e-05 2.876861e-05 #> [11112,] 2.965276e-05 8.909661e-05 #> [11113,] 2.835782e-05 2.495398e-05 #> [11114,] 3.741242e-05 3.564484e-05 #> [11115,] 4.386568e-05 8.728029e-05 #> [11116,] 5.662248e-05 3.262518e-05 #> [11117,] 3.134479e-05 2.634248e-05 #> [11118,] 3.280040e-05 3.378247e-05 #> [11119,] 3.243314e-05 2.934596e-05 #> [11120,] 3.404566e-05 2.570010e-05 #> [11121,] 3.187796e-05 4.569004e-05 #> [11122,] 4.790259e-05 2.523401e-05 #> [11123,] 4.216247e-05 3.871551e-05 #> [11124,] 3.006412e-05 2.463506e-05 #> [11125,] 7.475253e-05 1.597324e-04 #> [11126,] 3.342904e-05 2.691825e-05 #> [11127,] 4.608922e-05 3.574322e-05 #> [11128,] 8.396984e-05 3.551607e-05 #> [11129,] 9.511234e-05 9.920925e-05 #> [11130,] 6.192898e-05 8.251100e-05 #> [11131,] 5.099280e-05 4.340902e-05 #> [11132,] 2.348052e-05 2.058730e-05 #> [11133,] 3.035349e-05 3.825127e-05 #> [11134,] 3.386628e-05 4.953237e-05 #> [11135,] 2.366229e-05 2.132861e-05 #> [11136,] 2.586075e-05 2.128105e-05 #> [11137,] 4.197857e-05 2.880103e-05 #> [11138,] 2.354334e-05 2.189120e-05 #> [11139,] 7.557050e-05 3.042302e-05 #> [11140,] 4.604639e-05 4.951538e-05 #> [11141,] 1.634613e-04 6.387330e-05 #> [11142,] 2.155255e-05 1.994780e-05 #> [11143,] 4.790480e-05 3.415189e-05 #> [11144,] 2.271028e-05 2.282010e-05 #> [11145,] 2.620315e-05 2.285670e-05 #> [11146,] 2.991624e-05 2.480522e-05 #> [11147,] 3.846171e-05 3.128754e-05 #> [11148,] 2.564126e-05 2.041331e-05 #> [11149,] 2.381550e-05 3.269277e-05 #> [11150,] 1.155628e-04 1.422684e-04 #> [11151,] 5.374461e-05 6.810384e-05 #> [11152,] 3.397044e-05 3.163540e-05 #> [11153,] 3.675922e-05 4.640190e-05 #> [11154,] 3.036419e-05 2.717995e-05 #> [11155,] 2.305537e-05 2.196368e-05 #> [11156,] 3.314019e-05 2.711512e-05 #> [11157,] 3.861772e-05 3.381770e-05 #> [11158,] 4.833779e-05 5.293816e-05 #> [11159,] 3.210313e-05 2.663272e-05 #> [11160,] 2.904326e-05 2.408075e-05 #> [11161,] 5.103107e-05 4.941850e-05 #> [11162,] 2.225760e-04 4.056587e-05 #> [11163,] 9.612818e-05 4.617247e-05 #> [11164,] 2.231979e-05 2.220181e-05 #> [11165,] 1.323194e-04 2.516019e-04 #> [11166,] 2.946513e-05 2.656215e-05 #> [11167,] 3.767625e-05 4.219988e-05 #> [11168,] 7.274635e-05 4.068824e-05 #> [11169,] 3.478552e-05 4.156295e-05 #> [11170,] 3.376332e-05 3.327625e-05 #> [11171,] 2.472145e-05 3.390408e-05 #> [11172,] 5.243319e-05 6.178991e-05 #> [11173,] 6.122169e-05 4.205693e-05 #> [11174,] 3.739586e-05 2.965398e-05 #> [11175,] 3.597997e-05 4.088815e-05 #> [11176,] 2.703276e-05 2.438807e-05 #> [11177,] 2.802530e-05 2.835531e-05 #> [11178,] 3.815284e-05 5.287700e-05 #> [11179,] 2.729927e-05 2.359782e-05 #> [11180,] 2.210972e-05 2.030883e-05 #> [11181,] 2.870328e-05 2.688191e-05 #> [11182,] 3.707138e-05 4.870610e-05 #> [11183,] 5.704009e-05 5.118745e-05 #> [11184,] 1.174065e-04 1.097658e-04 #> [11185,] 2.700110e-05 2.358808e-05 #> [11186,] 2.805891e-05 3.209492e-05 #> [11187,] 2.646218e-05 2.402539e-05 #> [11188,] 4.154529e-05 4.841453e-05 #> [11189,] 3.243365e-05 2.898265e-05 #> [11190,] 9.132670e-05 1.007070e-04 #> [11191,] 2.505687e-05 2.849896e-05 #> [11192,] 2.490148e-05 2.443088e-05 #> [11193,] 4.002044e-05 4.445590e-05 #> [11194,] 4.417026e-05 1.079760e-04 #> [11195,] 7.980577e-04 7.849407e-05 #> [11196,] 3.964879e-05 3.677309e-05 #> [11197,] 1.894975e-04 1.161513e-04 #> [11198,] 4.178411e-05 2.766549e-05 #> [11199,] 2.532375e-05 2.272115e-05 #> [11200,] 4.802730e-05 6.736052e-05 #> [11201,] 7.224196e-05 7.452434e-05 #> [11202,] 2.997266e-05 2.670839e-05 #> [11203,] 3.177552e-05 2.776223e-05 #> [11204,] 5.114237e-05 3.730134e-05 #> [11205,] 3.158629e-05 2.805756e-05 #> [11206,] 1.455798e-04 4.291788e-04 #> [11207,] 4.081936e-05 3.258111e-05 #> [11208,] 6.461252e-05 1.231781e-04 #> [11209,] 3.079168e-05 2.781770e-05 #> [11210,] 6.778772e-04 3.296165e-04 #> [11211,] 8.161649e-05 3.414749e-05 #> [11212,] 4.422302e-05 3.068474e-05 #> [11213,] 2.706439e-05 2.535259e-05 #> [11214,] 3.940498e-05 2.654221e-05 #> [11215,] 3.521389e-05 3.025914e-05 #> [11216,] 3.813890e-05 2.839407e-05 #> [11217,] 2.902847e-05 2.849472e-05 #> [11218,] 3.247315e-05 3.337956e-05 #> [11219,] 2.928168e-05 2.396464e-05 #> [11220,] 1.080367e-04 4.648574e-05 #> [11221,] 7.605369e-05 2.549340e-05 #> [11222,] 2.587150e-05 2.808941e-05 #> [11223,] 2.644923e-05 2.129859e-05 #> [11224,] 2.980177e-05 2.524580e-05 #> [11225,] 2.435389e-05 1.938663e-05 #> [11226,] 2.828433e-05 2.271106e-05 #> [11227,] 3.899803e-05 5.544956e-05 #> [11228,] 6.191123e-05 3.985309e-05 #> [11229,] 5.212277e-05 2.055081e-05 #> [11230,] 2.996664e-05 2.691097e-05 #> [11231,] 3.442385e-05 2.963448e-05 #> [11232,] 3.310103e-05 2.737379e-05 #> [11233,] 4.875865e-05 3.147239e-05 #> [11234,] 2.671271e-05 2.553092e-05 #> [11235,] 3.732927e-05 2.662609e-05 #> [11236,] 4.378818e-05 3.400933e-05 #> [11237,] 2.559606e-05 2.185497e-05 #> [11238,] 3.796731e-05 3.454034e-05 #> [11239,] 3.055738e-05 2.216822e-05 #> [11240,] 4.993847e-05 2.544614e-05 #> [11241,] 4.469554e-05 1.291919e-04 #> [11242,] 2.765419e-05 2.267532e-05 #> [11243,] 3.853961e-05 6.200449e-05 #> [11244,] 5.504971e-05 3.425397e-05 #> [11245,] 3.161122e-05 2.528763e-05 #> [11246,] 6.033852e-04 1.967602e-03 #> [11247,] 2.910705e-05 2.225703e-05 #> [11248,] 2.690091e-04 6.815758e-05 #> [11249,] 2.273980e-04 1.704602e-04 #> [11250,] 2.634924e-05 2.245979e-05 #> [11251,] 5.087687e-05 4.868546e-05 #> [11252,] 4.703776e-05 2.788174e-05 #> [11253,] 3.206253e-05 2.837830e-05 #> [11254,] 4.921606e-04 1.114483e-03 #> [11255,] 1.493143e-04 3.030589e-04 #> [11256,] 5.332745e-05 6.375395e-05 #> [11257,] 4.249699e-05 5.713980e-05 #> [11258,] 7.412579e-05 4.273133e-05 #> [11259,] 6.840888e-05 5.011824e-05 #> [11260,] 3.525060e-05 2.931398e-05 #> [11261,] 2.478710e-05 2.495920e-05 #> [11262,] 4.216372e-05 9.333936e-05 #> [11263,] 3.048524e-05 2.438086e-05 #> [11264,] 2.893980e-05 2.437111e-05 #> [11265,] 3.115937e-05 5.321815e-05 #> [11266,] 6.691649e-04 1.722109e-03 #> [11267,] 3.412640e-05 3.151894e-05 #> [11268,] 2.272634e-05 2.153458e-05 #> [11269,] 3.285833e-05 2.977259e-05 #> [11270,] 2.956272e-05 2.324352e-05 #> [11271,] 3.076681e-05 3.014181e-05 #> [11272,] 2.728413e-05 2.561344e-05 #> [11273,] 4.810648e-05 3.357664e-05 #> [11274,] 6.642939e-05 8.391682e-05 #> [11275,] 3.658122e-05 3.607605e-05 #> [11276,] 3.487267e-05 3.650178e-05 #> [11277,] 6.237733e-05 3.374486e-05 #> [11278,] 4.023066e-05 3.462708e-05 #> [11279,] 3.680391e-05 2.732182e-05 #> [11280,] 5.251303e-05 3.993287e-05 #> [11281,] 2.728641e-05 2.675100e-05 #> [11282,] 3.411516e-05 3.121280e-05 #> [11283,] 3.414037e-05 2.596149e-05 #> [11284,] 4.291758e-05 3.120443e-05 #> [11285,] 2.273927e-05 2.140834e-05 #> [11286,] 2.582564e-05 2.741724e-05 #> [11287,] 5.409465e-05 2.419724e-05 #> [11288,] 5.586630e-05 3.027056e-05 #> [11289,] 4.807242e-04 1.836386e-04 #> [11290,] 3.238745e-04 1.993467e-04 #> [11291,] 2.937033e-05 2.655256e-05 #> [11292,] 4.655461e-05 3.550864e-05 #> [11293,] 3.023805e-05 3.019784e-05 #> [11294,] 2.671146e-05 2.228644e-05 #> [11295,] 3.147988e-05 2.513101e-05 #> [11296,] 2.729114e-05 2.047746e-05 #> [11297,] 3.188688e-05 2.423766e-05 #> [11298,] 3.119974e-05 2.199398e-05 #> [11299,] 2.109789e-05 2.325105e-05 #> [11300,] 3.205029e-05 2.444048e-05 #> [11301,] 4.150352e-05 2.972349e-05 #> [11302,] 7.349166e-05 5.767140e-05 #> [11303,] 3.629512e-05 3.399709e-05 #> [11304,] 2.983236e-05 2.428117e-05 #> [11305,] 4.375105e-05 3.790773e-05 #> [11306,] 1.581395e-04 1.043424e-04 #> [11307,] 5.765688e-05 7.483366e-05 #> [11308,] 3.423295e-05 3.314704e-05 #> [11309,] 3.042043e-05 2.470571e-05 #> [11310,] 3.311694e-05 2.785369e-05 #> [11311,] 2.992833e-05 3.650836e-05 #> [11312,] 3.009754e-05 2.510215e-05 #> [11313,] 3.196464e-05 2.662931e-05 #> [11314,] 3.696701e-05 3.063935e-05 #> [11315,] 3.275573e-05 2.707722e-05 #> [11316,] 4.553123e-05 4.462167e-05 #> [11317,] 7.574937e-05 3.835995e-05 #> [11318,] 2.396863e-05 2.058961e-05 #> [11319,] 2.467282e-04 5.444320e-04 #> [11320,] 3.237148e-05 2.549838e-05 #> [11321,] 6.974329e-05 2.934315e-05 #> [11322,] 2.325291e-05 1.994058e-05 #> [11323,] 3.341291e-05 3.629625e-05 #> [11324,] 3.202393e-05 2.686463e-05 #> [11325,] 2.371317e-05 2.666433e-05 #> [11326,] 5.282926e-05 5.993964e-05 #> [11327,] 9.514636e-05 7.101191e-05 #> [11328,] 3.013519e-05 2.395005e-05 #> [11329,] 2.806494e-05 2.419947e-05 #> [11330,] 3.218160e-05 2.728268e-05 #> [11331,] 3.241223e-05 3.268601e-05 #> [11332,] 2.417220e-04 1.088137e-04 #> [11333,] 3.442342e-05 3.411073e-05 #> [11334,] 4.059718e-05 3.635225e-05 #> [11335,] 2.873833e-05 5.947576e-05 #> [11336,] 3.609072e-05 2.754825e-05 #> [11337,] 3.107519e-05 2.796622e-05 #> [11338,] 6.418281e-05 6.843665e-05 #> [11339,] 3.447167e-05 3.450772e-05 #> [11340,] 2.139887e-05 2.124563e-05 #> [11341,] 5.666442e-05 3.488343e-05 #> [11342,] 3.128927e-05 2.700836e-05 #> [11343,] 3.499385e-05 2.772109e-05 #> [11344,] 3.113633e-05 3.290188e-05 #> [11345,] 2.990816e-05 2.503726e-05 #> [11346,] 2.857455e-05 2.640956e-05 #> [11347,] 3.537445e-05 2.829733e-05 #> [11348,] 2.768900e-05 2.334421e-05 #> [11349,] 3.186661e-05 2.511104e-05 #> [11350,] 3.012962e-05 3.661160e-05 #> [11351,] 3.447377e-05 2.568588e-05 #> [11352,] 3.290118e-05 2.767420e-05 #> [11353,] 2.658297e-05 2.752174e-05 #> [11354,] 2.554482e-05 2.864237e-05 #> [11355,] 8.633706e-05 4.592579e-05 #> [11356,] 3.101607e-05 2.704576e-05 #> [11357,] 3.603578e-05 3.521488e-05 #> [11358,] 3.773513e-05 2.991509e-05 #> [11359,] 2.284290e-05 2.273646e-05 #> [11360,] 1.707442e-03 8.504934e-04 #> [11361,] 3.043974e-05 2.884249e-05 #> [11362,] 3.006221e-05 2.810584e-05 #> [11363,] 2.797171e-05 2.314309e-05 #> [11364,] 2.991434e-05 1.431616e-04 #> [11365,] 4.745377e-05 4.649259e-05 #> [11366,] 3.021244e-05 2.277878e-05 #> [11367,] 3.268565e-05 3.053183e-05 #> [11368,] 2.867046e-05 2.399140e-05 #> [11369,] 3.278595e-05 2.314378e-05 #> [11370,] 2.638385e-05 3.334396e-05 #> [11371,] 2.932412e-05 2.641844e-05 #> [11372,] 4.754457e-05 3.158220e-05 #> [11373,] 3.344237e-05 2.738033e-05 #> [11374,] 4.085708e-05 3.098095e-05 #> [11375,] 2.109756e-05 2.135923e-05 #> [11376,] 2.606507e-05 2.445997e-05 #> [11377,] 8.489544e-05 3.707451e-04 #> [11378,] 3.410211e-05 3.112875e-05 #> [11379,] 6.273557e-05 4.285756e-05 #> [11380,] 2.780855e-05 2.547816e-05 #> [11381,] 3.244691e-05 3.452424e-05 #> [11382,] 1.123266e-04 1.335286e-04 #> [11383,] 1.083192e-04 4.676032e-05 #> [11384,] 3.279724e-05 2.688724e-05 #> [11385,] 3.513684e-05 3.007299e-05 #> [11386,] 2.539663e-05 2.246133e-05 #> [11387,] 5.880694e-05 3.511626e-05 #> [11388,] 3.232669e-05 2.471533e-05 #> [11389,] 3.105711e-05 2.811301e-05 #> [11390,] 6.887004e-05 4.713898e-04 #> [11391,] 2.913331e-05 2.684155e-05 #> [11392,] 2.578843e-05 2.221833e-05 #> [11393,] 3.434257e-05 2.836606e-05 #> [11394,] 5.823988e-05 3.632103e-05 #> [11395,] 2.046227e-03 6.417256e-04 #> [11396,] 2.691051e-05 2.109304e-05 #> [11397,] 2.587381e-05 2.235199e-05 #> [11398,] 2.908261e-05 2.656019e-05 #> [11399,] 1.509008e-03 9.764165e-04 #> [11400,] 3.650213e-05 3.132661e-05 #> [11401,] 3.021827e-05 2.650316e-05 #> [11402,] 3.651714e-05 3.427731e-05 #> [11403,] 3.250688e-05 2.873796e-05 #> [11404,] 8.597276e-05 8.145073e-05 #> [11405,] 2.292173e-05 2.245021e-05 #> [11406,] 3.774126e-05 2.811205e-05 #> [11407,] 3.531484e-05 3.217819e-05 #> [11408,] 2.301421e-05 1.996372e-05 #> [11409,] 4.556918e-05 4.912573e-05 #> [11410,] 3.644425e-05 3.752726e-05 #> [11411,] 3.147173e-05 2.802851e-05 #> [11412,] 4.276936e-05 3.071800e-05 #> [11413,] 2.303885e-05 2.171789e-05 #> [11414,] 2.433656e-05 2.397012e-05 #> [11415,] 3.075962e-05 4.346424e-05 #> [11416,] 3.403070e-05 2.882214e-05 #> [11417,] 4.436561e-05 2.877327e-05 #> [11418,] 2.498714e-05 4.124671e-05 #> [11419,] 2.503892e-05 2.316496e-05 #> [11420,] 4.211462e-05 3.232464e-05 #> [11421,] 3.572167e-05 2.900656e-05 #> [11422,] 3.485522e-05 3.868133e-05 #> [11423,] 2.211447e-05 2.075905e-05 #> [11424,] 3.349604e-05 3.162244e-05 #> [11425,] 2.406623e-05 2.092187e-05 #> [11426,] 1.272934e-04 1.230733e-04 #> [11427,] 3.527110e-05 2.836778e-05 #> [11428,] 4.311972e-05 2.984735e-05 #> [11429,] 4.799579e-05 8.533939e-05 #> [11430,] 2.303944e-05 2.229355e-05 #> [11431,] 3.398632e-05 3.551263e-05 #> [11432,] 6.251309e-05 4.637108e-05 #> [11433,] 8.761786e-04 2.452137e-04 #> [11434,] 2.276398e-05 2.130520e-05 #> [11435,] 3.085203e-05 2.551856e-05 #> [11436,] 6.417561e-05 3.825031e-05 #> [11437,] 2.527638e-05 2.645461e-05 #> [11438,] 2.664299e-05 2.530288e-05 #> [11439,] 2.611421e-04 6.730142e-04 #> [11440,] 3.216984e-05 2.384990e-05 #> [11441,] 3.935887e-05 2.622958e-05 #> [11442,] 4.592760e-05 1.144877e-03 #> [11443,] 1.607322e-03 8.806676e-04 #> [11444,] 4.172217e-05 3.536939e-05 #> [11445,] 2.976966e-05 4.140109e-05 #> [11446,] 4.558079e-05 4.922269e-05 #> [11447,] 4.241858e-05 4.320136e-05 #> [11448,] 2.403732e-05 2.422307e-05 #> [11449,] 3.316531e-05 3.174061e-05 #> [11450,] 2.301090e-05 2.089009e-05 #> [11451,] 2.785394e-05 2.266809e-05 #> [11452,] 1.507815e-04 3.274242e-05 #> [11453,] 2.699037e-05 2.064114e-05 #> [11454,] 2.847892e-05 2.483008e-05 #> [11455,] 2.975838e-05 2.882973e-05 #> [11456,] 4.419295e-05 7.060827e-05 #> [11457,] 6.862659e-05 6.840660e-05 #> [11458,] 2.294608e-05 2.380499e-05 #> [11459,] 2.450038e-05 2.287123e-05 #> [11460,] 2.150085e-05 1.971052e-05 #> [11461,] 3.859937e-05 5.069948e-05 #> [11462,] 3.017284e-05 3.651783e-05 #> [11463,] 2.652119e-05 2.133301e-05 #> [11464,] 3.356547e-05 4.221289e-05 #> [11465,] 4.466180e-05 3.693474e-05 #> [11466,] 3.423895e-05 3.567274e-05 #> [11467,] 3.584896e-05 2.958429e-05 #> [11468,] 5.072188e-05 6.574340e-05 #> [11469,] 4.466704e-05 3.248105e-05 #> [11470,] 7.831200e-05 2.647238e-05 #> [11471,] 3.594347e-05 2.369380e-05 #> [11472,] 2.451088e-05 2.263539e-05 #> [11473,] 3.358207e-05 3.480611e-05 #> [11474,] 4.054997e-05 2.996572e-05 #> [11475,] 2.614901e-05 2.879986e-05 #> [11476,] 3.121530e-05 2.687147e-05 #> [11477,] 4.397982e-05 3.234621e-05 #> [11478,] 1.036312e-04 1.578011e-04 #> [11479,] 3.662114e-05 2.894255e-05 #> [11480,] 3.283280e-05 2.704863e-05 #> [11481,] 2.610558e-05 3.695993e-05 #> [11482,] 4.684744e-04 2.356210e-04 #> [11483,] 2.538356e-05 3.717687e-05 #> [11484,] 1.045173e-04 4.008839e-05 #> [11485,] 3.901586e-05 2.968488e-05 #> [11486,] 3.346615e-05 2.693556e-05 #> [11487,] 1.965873e-03 1.238091e-03 #> [11488,] 4.584248e-05 2.751777e-05 #> [11489,] 4.598911e-05 5.642201e-05 #> [11490,] 2.574370e-05 2.503242e-05 #> [11491,] 3.265657e-05 2.730539e-05 #> [11492,] 3.717375e-05 2.681108e-05 #> [11493,] 2.374020e-05 1.905374e-05 #> [11494,] 5.105842e-05 2.864247e-05 #> [11495,] 2.532122e-05 2.176727e-05 #> [11496,] 1.131598e-04 8.507109e-05 #> [11497,] 9.955438e-05 6.022859e-05 #> [11498,] 3.424909e-05 3.383034e-05 #> [11499,] 4.305400e-05 2.942026e-05 #> [11500,] 2.325257e-05 2.067227e-05 #> [11501,] 2.701141e-05 2.866154e-05 #> [11502,] 8.163813e-05 3.869078e-05 #> [11503,] 2.504516e-05 1.969864e-05 #> [11504,] 4.325730e-05 3.742105e-05 #> [11505,] 3.553182e-05 2.963618e-05 #> [11506,] 3.344086e-05 3.130470e-05 #> [11507,] 2.312642e-05 2.090176e-05 #> [11508,] 2.778866e-05 2.501846e-05 #> [11509,] 3.975717e-05 2.555882e-05 #> [11510,] 3.828818e-05 2.796512e-05 #> [11511,] 3.219921e-05 2.626870e-05 #> [11512,] 3.361962e-05 5.109424e-05 #> [11513,] 2.854208e-04 2.368549e-04 #> [11514,] 2.533814e-05 2.253968e-05 #> [11515,] 7.406897e-04 1.322958e-04 #> [11516,] 2.404334e-03 8.134371e-04 #> [11517,] 3.737252e-05 3.553666e-05 #> [11518,] 3.250555e-05 2.336770e-05 #> [11519,] 3.046203e-05 2.451262e-05 #> [11520,] 9.273312e-05 4.859746e-05 #> [11521,] 3.302000e-05 2.701021e-05 #> [11522,] 3.507750e-05 2.942048e-05 #> [11523,] 2.252515e-05 2.156640e-05 #> [11524,] 2.617133e-05 2.337698e-05 #> [11525,] 3.295712e-05 2.718264e-05 #> [11526,] 2.724911e-04 1.322029e-04 #> [11527,] 2.946515e-05 2.265389e-05 #> [11528,] 2.733252e-04 9.224568e-05 #> [11529,] 1.518937e-04 1.851148e-03 #> [11530,] 1.172588e-04 2.694148e-04 #> [11531,] 1.628589e-04 2.005313e-04 #> [11532,] 3.080039e-05 2.256190e-05 #> [11533,] 4.276637e-05 3.829538e-05 #> [11534,] 3.098275e-05 2.555026e-05 #> [11535,] 3.173853e-05 2.667663e-05 #> [11536,] 2.413020e-05 1.997036e-05 #> [11537,] 3.270736e-05 2.660003e-05 #> [11538,] 2.790902e-05 2.516539e-05 #> [11539,] 3.093898e-05 2.716550e-05 #> [11540,] 2.329356e-05 2.121221e-05 #> [11541,] 7.363667e-05 8.223381e-05 #> [11542,] 3.333914e-05 2.755433e-05 #> [11543,] 2.879029e-05 2.959192e-05 #> [11544,] 2.750385e-05 2.834313e-05 #> [11545,] 6.207534e-05 5.675544e-05 #> [11546,] 2.776040e-05 2.600340e-05 #> [11547,] 2.176338e-05 2.019764e-05 #> [11548,] 2.942114e-05 3.328829e-05 #> [11549,] 3.044255e-05 2.620768e-05 #> [11550,] 2.644734e-05 2.428963e-05 #> [11551,] 2.299627e-05 2.222249e-05 #> [11552,] 1.475389e-04 2.154909e-04 #> [11553,] 3.524479e-05 4.356260e-05 #> [11554,] 5.081321e-05 4.387355e-05 #> [11555,] 2.855441e-05 2.222846e-05 #> [11556,] 7.022776e-05 4.632850e-05 #> [11557,] 2.940695e-05 2.673868e-05 #> [11558,] 7.710849e-05 8.143957e-05 #> [11559,] 6.955653e-05 5.510827e-05 #> [11560,] 2.761202e-05 2.404534e-05 #> [11561,] 3.023092e-05 2.291446e-05 #> [11562,] 2.552718e-05 2.536666e-05 #> [11563,] 1.231456e-04 3.093164e-05 #> [11564,] 2.795551e-05 3.312973e-05 #> [11565,] 2.861911e-05 2.397340e-05 #> [11566,] 1.803948e-04 1.085074e-04 #> [11567,] 1.102877e-04 4.714536e-05 #> [11568,] 7.582019e-05 4.199264e-05 #> [11569,] 2.788956e-05 2.744470e-05 #> [11570,] 3.189449e-05 6.431016e-05 #> [11571,] 5.626191e-05 4.298129e-05 #> [11572,] 2.999898e-05 2.800830e-05 #> [11573,] 3.428008e-05 2.744761e-05 #> [11574,] 2.726024e-05 2.873067e-05 #> [11575,] 3.696391e-05 5.421137e-05 #> [11576,] 3.309757e-05 2.738198e-05 #> [11577,] 3.330027e-05 4.169953e-05 #> [11578,] 3.049404e-05 2.752512e-05 #> [11579,] 4.312836e-05 3.292942e-05 #> [11580,] 6.173194e-05 7.768586e-05 #> [11581,] 2.762564e-05 2.707830e-05 #> [11582,] 3.859942e-05 2.939550e-05 #> [11583,] 4.923997e-05 2.888198e-05 #> [11584,] 2.537172e-05 2.206320e-05 #> [11585,] 2.843175e-05 2.793823e-05 #> [11586,] 2.249183e-05 2.368900e-05 #> [11587,] 2.794527e-05 2.341504e-05 #> [11588,] 3.140533e-05 2.518265e-05 #> [11589,] 6.393620e-05 2.988609e-05 #> [11590,] 2.851718e-05 2.265097e-05 #> [11591,] 3.035494e-05 2.779576e-05 #> [11592,] 3.814676e-05 3.136331e-05 #> [11593,] 5.383588e-05 5.317246e-05 #> [11594,] 1.651725e-04 4.285669e-04 #> [11595,] 4.589719e-05 6.171094e-05 #> [11596,] 3.664996e-04 2.909634e-04 #> [11597,] 2.541779e-05 2.368662e-05 #> [11598,] 4.298490e-05 3.156918e-05 #> [11599,] 4.930476e-05 7.490181e-05 #> [11600,] 2.401876e-05 2.162049e-05 #> [11601,] 3.043684e-05 2.808087e-05 #> [11602,] 3.107039e-05 2.767444e-05 #> [11603,] 3.103945e-05 2.933757e-05 #> [11604,] 3.279402e-05 3.116472e-05 #> [11605,] 3.285633e-05 3.119426e-05 #> [11606,] 3.387812e-05 2.717258e-05 #> [11607,] 3.132983e-05 2.566950e-05 #> [11608,] 3.223441e-05 2.585812e-05 #> [11609,] 2.365695e-05 2.012725e-05 #> [11610,] 2.693216e-05 2.554511e-05 #> [11611,] 2.613999e-05 2.363953e-05 #> [11612,] 3.696538e-05 2.755098e-05 #> [11613,] 6.011195e-05 4.670601e-05 #> [11614,] 2.362422e-05 2.709879e-05 #> [11615,] 2.932136e-05 2.421192e-05 #> [11616,] 9.556763e-05 9.670512e-05 #> [11617,] 3.080114e-05 2.558379e-05 #> [11618,] 4.303486e-05 4.629510e-05 #> [11619,] 2.312687e-05 2.254952e-05 #> [11620,] 3.045180e-05 2.957815e-05 #> [11621,] 4.727601e-05 2.726883e-05 #> [11622,] 2.303925e-05 2.106945e-05 #> [11623,] 4.359697e-05 3.269614e-05 #> [11624,] 5.128272e-05 1.248114e-04 #> [11625,] 4.267080e-05 3.094977e-05 #> [11626,] 3.195317e-05 4.129004e-05 #> [11627,] 3.724628e-05 3.467413e-05 #> [11628,] 2.332936e-04 2.007204e-04 #> [11629,] 2.948769e-05 2.394490e-05 #> [11630,] 2.829627e-05 2.544889e-05 #> [11631,] 2.775918e-04 2.118092e-04 #> [11632,] 2.744293e-05 2.470798e-05 #> [11633,] 3.854402e-05 4.467855e-05 #> [11634,] 2.939523e-05 2.630590e-05 #> [11635,] 3.413647e-05 2.351653e-05 #> [11636,] 2.952615e-05 2.580942e-05 #> [11637,] 3.311734e-05 3.770276e-05 #> [11638,] 2.614979e-05 2.398416e-05 #> [11639,] 3.389261e-05 2.923216e-05 #> [11640,] 2.615431e-05 4.464786e-05 #> [11641,] 2.782768e-04 7.504423e-05 #> [11642,] 2.831109e-05 2.896791e-05 #> [11643,] 2.993028e-05 3.069107e-05 #> [11644,] 2.810632e-05 2.384728e-05 #> [11645,] 1.383228e-03 1.624638e-03 #> [11646,] 5.328761e-05 3.524733e-05 #> [11647,] 2.224442e-05 2.081255e-05 #> [11648,] 3.384377e-05 2.645560e-05 #> [11649,] 3.783799e-05 2.825832e-05 #> [11650,] 2.989064e-05 2.485953e-05 #> [11651,] 2.963016e-05 2.605483e-05 #> [11652,] 2.638025e-05 5.254860e-05 #> [11653,] 2.930973e-05 2.492693e-05 #> [11654,] 2.978741e-05 2.857789e-05 #> [11655,] 4.360745e-05 2.966778e-05 #> [11656,] 1.419981e-04 8.140568e-05 #> [11657,] 7.425510e-05 2.746842e-05 #> [11658,] 1.618652e-04 6.630720e-05 #> [11659,] 2.659297e-05 2.597280e-05 #> [11660,] 3.023614e-05 2.540285e-05 #> [11661,] 2.691998e-05 2.466710e-05 #> [11662,] 3.946745e-05 3.019571e-05 #> [11663,] 3.629243e-04 1.748767e-04 #> [11664,] 2.905185e-05 2.281439e-05 #> [11665,] 2.650876e-05 2.497572e-05 #> [11666,] 3.643633e-05 7.158219e-05 #> [11667,] 3.558511e-05 2.685194e-05 #> [11668,] 3.178000e-05 2.878999e-05 #> [11669,] 3.164492e-05 5.560155e-05 #> [11670,] 2.623870e-05 2.065040e-05 #> [11671,] 2.741397e-05 3.113017e-05 #> [11672,] 3.220798e-05 3.329819e-05 #> [11673,] 3.954953e-05 3.151832e-05 #> [11674,] 9.554805e-05 2.800449e-04 #> [11675,] 5.417385e-05 3.508391e-05 #> [11676,] 3.103369e-05 4.432974e-05 #> [11677,] 5.569413e-05 3.743381e-05 #> [11678,] 2.326242e-05 1.893276e-05 #> [11679,] 3.163204e-05 3.067392e-05 #> [11680,] 2.440358e-05 2.113677e-05 #> [11681,] 7.378456e-05 3.573316e-04 #> [11682,] 5.561729e-05 3.873395e-05 #> [11683,] 2.950418e-05 3.462948e-05 #> [11684,] 3.192645e-05 2.708727e-05 #> [11685,] 2.970335e-05 3.026962e-05 #> [11686,] 3.269163e-05 3.307339e-05 #> [11687,] 3.218017e-05 2.762421e-05 #> [11688,] 7.679979e-05 3.641512e-05 #> [11689,] 2.530327e-05 2.396331e-05 #> [11690,] 4.423047e-05 3.930068e-05 #> [11691,] 4.847012e-05 2.468754e-05 #> [11692,] 2.352801e-05 2.222284e-05 #> [11693,] 3.153270e-05 2.695182e-05 #> [11694,] 3.572942e-05 3.245081e-05 #> [11695,] 2.110304e-05 2.110721e-05 #> [11696,] 2.491642e-05 2.517220e-05 #> [11697,] 4.000499e-05 3.492277e-05 #> [11698,] 2.500609e-05 2.258119e-05 #> [11699,] 2.168590e-03 4.209893e-04 #> [11700,] 2.981215e-05 2.605370e-05 #> [11701,] 2.593672e-05 2.264098e-05 #> [11702,] 8.183275e-05 7.045177e-05 #> [11703,] 4.188938e-05 5.296927e-05 #> [11704,] 3.401185e-05 2.586238e-05 #> [11705,] 2.099622e-05 2.037158e-05 #> [11706,] 3.265256e-05 2.628664e-05 #> [11707,] 8.758894e-05 1.518262e-04 #> [11708,] 3.685795e-05 1.237276e-04 #> [11709,] 2.799216e-04 3.580537e-04 #> [11710,] 2.972730e-05 2.304717e-05 #> [11711,] 2.376013e-05 2.165931e-05 #> [11712,] 3.623572e-05 5.844537e-05 #> [11713,] 3.032805e-05 3.011909e-05 #> [11714,] 2.696035e-05 2.170839e-05 #> [11715,] 2.550306e-05 2.536877e-05 #> [11716,] 6.474583e-05 4.233739e-05 #> [11717,] 4.369969e-05 4.181018e-05 #> [11718,] 2.459857e-05 2.263203e-05 #> [11719,] 2.634226e-05 2.752024e-05 #> [11720,] 2.424971e-05 2.082448e-05 #> [11721,] 2.532119e-05 2.597389e-05 #> [11722,] 3.134416e-05 2.822084e-05 #> [11723,] 6.337918e-05 1.091399e-04 #> [11724,] 2.909724e-05 2.385902e-05 #> [11725,] 2.847958e-05 2.480832e-05 #> [11726,] 2.813583e-05 2.129124e-05 #> [11727,] 2.992006e-05 2.343125e-05 #> [11728,] 2.702846e-05 2.752657e-05 #> [11729,] 1.213270e-04 6.055632e-05 #> [11730,] 2.946359e-05 4.064801e-05 #> [11731,] 3.973890e-05 4.270991e-05 #> [11732,] 3.676621e-05 3.473757e-05 #> [11733,] 8.776439e-05 4.390161e-05 #> [11734,] 6.116176e-05 3.463049e-05 #> [11735,] 3.145259e-05 2.665193e-05 #> [11736,] 2.711798e-05 2.728446e-05 #> [11737,] 3.326438e-05 3.715727e-05 #> [11738,] 3.047813e-05 3.820749e-05 #> [11739,] 5.356119e-05 6.415516e-05 #> [11740,] 4.169449e-05 4.044073e-05 #> [11741,] 1.901013e-05 1.943566e-05 #> [11742,] 3.477734e-05 2.557950e-05 #> [11743,] 2.928043e-05 2.903747e-05 #> [11744,] 2.502068e-05 2.261445e-05 #> [11745,] 3.779290e-05 4.883787e-05 #> [11746,] 2.331450e-05 1.987544e-05 #> [11747,] 3.764541e-05 3.540049e-05 #> [11748,] 3.007141e-05 2.475081e-05 #> [11749,] 4.853800e-05 2.376116e-05 #> [11750,] 3.470737e-05 2.809833e-05 #> [11751,] 3.211103e-05 2.770044e-05 #> [11752,] 4.404143e-05 7.194600e-05 #> [11753,] 3.691767e-05 2.557851e-05 #> [11754,] 2.394813e-05 2.067242e-05 #> [11755,] 5.221889e-05 6.194839e-05 #> [11756,] 3.969108e-05 2.384371e-05 #> [11757,] 3.441976e-05 2.664715e-05 #> [11758,] 3.529170e-05 2.635584e-05 #> [11759,] 5.016977e-05 2.829929e-05 #> [11760,] 2.398334e-05 1.854845e-05 #> [11761,] 1.444550e-04 4.479565e-05 #> [11762,] 4.640957e-05 3.468897e-05 #> [11763,] 1.234163e-04 8.206493e-05 #> [11764,] 5.075686e-05 4.461621e-05 #> [11765,] 8.023509e-05 3.870473e-05 #> [11766,] 2.172415e-03 1.596538e-03 #> [11767,] 5.856748e-05 5.904461e-05 #> [11768,] 2.490347e-05 2.244551e-05 #> [11769,] 4.474279e-05 3.340115e-05 #> [11770,] 6.876558e-05 3.062208e-05 #> [11771,] 2.815687e-05 2.559821e-05 #> [11772,] 7.991516e-05 7.960900e-05 #> [11773,] 9.483020e-05 2.079219e-04 #> [11774,] 2.929750e-05 2.508656e-05 #> [11775,] 3.427073e-05 3.573872e-05 #> [11776,] 3.220568e-05 2.467085e-05 #> [11777,] 5.069434e-05 4.347865e-05 #> [11778,] 2.881690e-05 2.757952e-05 #> [11779,] 6.743455e-05 1.030439e-04 #> [11780,] 3.739729e-05 3.314568e-05 #> [11781,] 7.824757e-05 5.182587e-05 #> [11782,] 2.574622e-05 2.243385e-05 #> [11783,] 3.395147e-05 9.390360e-05 #> [11784,] 3.781338e-05 2.837934e-05 #> [11785,] 3.877423e-05 4.092508e-05 #> [11786,] 3.000666e-05 2.326568e-05 #> [11787,] 3.429244e-05 3.175361e-05 #> [11788,] 3.233212e-05 8.769384e-05 #> [11789,] 2.485731e-05 2.006934e-05 #> [11790,] 1.457603e-04 5.845663e-05 #> [11791,] 6.580961e-05 2.586463e-04 #> [11792,] 2.828380e-05 3.076339e-05 #> [11793,] 3.065200e-05 2.411514e-05 #> [11794,] 4.382479e-05 3.120336e-05 #> [11795,] 3.537315e-05 1.973635e-04 #> [11796,] 4.218538e-05 5.175778e-05 #> [11797,] 2.595684e-05 2.644832e-05 #> [11798,] 2.577861e-05 2.148313e-05 #> [11799,] 2.817613e-05 2.614784e-05 #> [11800,] 5.713443e-05 2.518023e-05 #> [11801,] 2.738876e-05 2.202453e-05 #> [11802,] 3.045080e-05 2.409684e-05 #> [11803,] 4.089415e-05 3.891136e-05 #> [11804,] 6.678797e-05 5.904368e-05 #> [11805,] 6.588138e-05 1.434256e-04 #> [11806,] 3.179241e-05 2.732982e-05 #> [11807,] 7.911788e-05 1.090759e-04 #> [11808,] 2.552667e-05 2.194272e-05 #> [11809,] 1.542636e-04 4.150111e-04 #> [11810,] 3.077294e-05 2.799490e-05 #> [11811,] 6.590740e-05 5.244838e-05 #> [11812,] 3.623843e-05 3.245070e-05 #> [11813,] 2.273372e-04 1.146901e-04 #> [11814,] 3.284699e-05 2.835057e-05 #> [11815,] 2.484968e-05 2.513080e-05 #> [11816,] 3.509276e-05 3.424397e-05 #> [11817,] 5.653679e-04 9.092915e-04 #> [11818,] 2.123438e-04 2.202151e-04 #> [11819,] 3.898500e-05 3.493023e-05 #> [11820,] 3.201317e-05 5.869441e-05 #> [11821,] 4.075189e-05 4.054658e-05 #> [11822,] 7.767042e-05 8.745274e-05 #> [11823,] 3.714586e-05 3.426308e-05 #> [11824,] 3.735230e-05 7.137429e-05 #> [11825,] 2.740670e-05 2.548695e-05 #> [11826,] 3.039954e-05 2.714946e-05 #> [11827,] 8.951996e-05 8.542708e-05 #> [11828,] 2.808068e-05 2.434580e-05 #> [11829,] 1.621024e-04 1.512560e-04 #> [11830,] 5.322190e-05 3.804378e-05 #> [11831,] 2.828722e-04 5.394782e-05 #> [11832,] 1.548629e-04 2.893143e-04 #> [11833,] 3.192563e-05 2.849109e-05 #> [11834,] 3.481420e-05 2.543257e-05 #> [11835,] 2.881927e-05 3.191097e-05 #> [11836,] 3.359216e-05 5.177410e-05 #> [11837,] 3.307258e-05 3.072938e-05 #> [11838,] 4.716157e-04 1.036515e-04 #> [11839,] 2.763268e-05 2.191845e-05 #> [11840,] 3.203548e-05 2.617644e-05 #> [11841,] 4.283002e-05 5.728835e-05 #> [11842,] 2.951550e-05 2.937748e-05 #> [11843,] 3.023765e-05 2.453952e-05 #> [11844,] 3.138393e-05 2.586403e-05 #> [11845,] 2.777651e-05 3.238475e-05 #> [11846,] 4.040134e-05 1.268612e-04 #> [11847,] 1.778641e-04 1.468142e-04 #> [11848,] 3.207779e-05 2.464282e-05 #> [11849,] 3.118580e-05 2.933238e-05 #> [11850,] 1.311488e-04 1.461538e-04 #> [11851,] 2.901394e-05 2.971827e-05 #> [11852,] 2.315302e-05 2.113438e-05 #> [11853,] 3.110433e-05 3.117982e-05 #> [11854,] 1.934639e-04 2.217937e-04 #> [11855,] 2.403247e-05 2.419222e-05 #> [11856,] 2.752466e-05 2.608590e-05 #> [11857,] 2.998405e-05 2.717276e-05 #> [11858,] 2.490125e-05 2.556045e-05 #> [11859,] 2.612439e-05 2.671037e-05 #> [11860,] 6.579708e-05 8.881718e-05 #> [11861,] 3.717468e-05 3.122284e-05 #> [11862,] 2.951639e-05 2.825468e-05 #> [11863,] 2.162865e-05 2.035722e-05 #> [11864,] 2.880821e-05 2.322699e-05 #> [11865,] 2.931336e-05 2.347954e-05 #> [11866,] 4.022262e-05 2.881863e-05 #> [11867,] 3.409878e-05 3.085983e-05 #> [11868,] 3.881419e-05 3.281113e-05 #> [11869,] 3.243990e-05 3.168476e-05 #> [11870,] 2.168820e-05 1.990549e-05 #> [11871,] 4.960194e-05 5.411589e-05 #> [11872,] 1.017614e-03 8.496882e-04 #> [11873,] 3.818783e-05 4.009932e-05 #> [11874,] 3.456243e-05 3.004172e-05 #> [11875,] 2.561923e-05 2.211571e-05 #> [11876,] 4.076039e-04 1.143470e-04 #> [11877,] 2.903246e-05 2.561322e-05 #> [11878,] 3.331231e-05 2.519956e-05 #> [11879,] 3.822700e-05 3.049865e-05 #> [11880,] 4.165513e-05 2.255865e-05 #> [11881,] 2.746933e-05 2.388247e-05 #> [11882,] 3.165309e-05 2.664675e-05 #> [11883,] 3.701639e-05 2.927187e-05 #> [11884,] 2.490243e-05 2.105057e-05 #> [11885,] 9.205299e-05 7.872319e-05 #> [11886,] 2.512533e-05 2.463703e-05 #> [11887,] 2.288910e-05 2.356459e-05 #> [11888,] 5.535650e-05 2.935157e-05 #> [11889,] 4.443166e-05 3.361167e-05 #> [11890,] 2.189789e-05 2.363038e-05 #> [11891,] 3.673563e-05 2.799505e-05 #> [11892,] 3.275615e-05 2.983893e-05 #> [11893,] 2.884497e-05 2.734887e-05 #> [11894,] 4.574954e-05 3.416481e-05 #> [11895,] 3.255636e-05 3.324134e-05 #> [11896,] 7.054258e-05 4.172023e-05 #> [11897,] 2.416450e-05 2.073887e-05 #> [11898,] 5.414656e-05 5.486374e-05 #> [11899,] 4.654041e-05 2.885807e-05 #> [11900,] 4.329164e-05 3.483217e-05 #> [11901,] 4.984759e-05 3.183190e-05 #> [11902,] 4.971780e-05 4.061465e-05 #> [11903,] 3.656133e-05 4.807304e-05 #> [11904,] 5.241522e-05 4.934216e-05 #> [11905,] 6.262052e-05 4.607894e-04 #> [11906,] 3.536808e-05 2.880213e-05 #> [11907,] 3.262134e-05 2.426529e-05 #> [11908,] 3.433266e-05 2.909048e-05 #> [11909,] 6.232354e-05 1.340443e-04 #> [11910,] 2.585401e-05 2.598056e-05 #> [11911,] 1.432056e-04 1.420736e-04 #> [11912,] 1.280573e-04 1.883865e-04 #> [11913,] 2.483249e-05 2.479343e-05 #> [11914,] 2.765805e-05 2.718311e-05 #> [11915,] 2.574597e-05 2.754517e-05 #> [11916,] 2.501637e-05 2.292106e-05 #> [11917,] 4.995153e-05 2.978480e-05 #> [11918,] 3.745213e-05 3.066822e-05 #> [11919,] 2.474580e-05 2.140929e-05 #> [11920,] 2.154538e-04 2.326176e-04 #> [11921,] 2.477410e-05 2.684690e-05 #> [11922,] 6.131870e-04 1.594045e-04 #> [11923,] 1.611384e-03 3.585889e-04 #> [11924,] 3.108741e-05 3.040713e-05 #> [11925,] 4.325314e-05 2.488855e-05 #> [11926,] 5.257875e-05 3.070197e-05 #> [11927,] 2.711560e-05 2.446212e-05 #> [11928,] 4.759518e-05 6.631430e-05 #> [11929,] 2.562017e-05 2.278755e-05 #> [11930,] 2.908234e-05 2.687029e-05 #> [11931,] 4.516601e-05 4.626160e-05 #> [11932,] 3.057825e-05 2.709473e-05 #> [11933,] 3.085186e-05 2.558924e-05 #> [11934,] 1.142405e-04 8.564849e-05 #> [11935,] 4.714521e-05 3.231759e-05 #> [11936,] 4.134135e-05 3.453314e-05 #> [11937,] 8.287046e-05 2.052978e-04 #> [11938,] 5.445063e-05 7.089067e-05 #> [11939,] 2.953148e-05 2.693149e-05 #> [11940,] 2.408799e-05 2.189072e-05 #> [11941,] 1.317420e-04 6.436082e-04 #> [11942,] 4.149264e-05 6.019566e-05 #> [11943,] 5.775759e-05 5.125718e-04 #> [11944,] 3.479910e-05 2.535341e-05 #> [11945,] 3.101012e-05 2.516354e-05 #> [11946,] 3.642541e-05 2.795404e-05 #> [11947,] 5.137888e-05 2.656650e-05 #> [11948,] 1.577286e-04 3.070038e-05 #> [11949,] 3.106557e-05 4.130780e-05 #> [11950,] 5.481563e-05 3.897038e-05 #> [11951,] 3.787038e-05 3.655319e-05 #> [11952,] 2.386523e-05 2.399724e-05 #> [11953,] 5.211259e-04 3.194521e-04 #> [11954,] 3.246154e-05 2.946722e-05 #> [11955,] 1.113723e-04 1.545751e-04 #> [11956,] 1.680096e-04 3.844344e-05 #> [11957,] 2.143095e-04 5.483196e-04 #> [11958,] 5.050337e-05 2.684621e-05 #> [11959,] 4.978433e-05 4.173341e-05 #> [11960,] 3.304718e-05 3.070967e-05 #> [11961,] 4.103513e-05 1.053183e-04 #> [11962,] 7.162669e-05 4.488724e-05 #> [11963,] 6.328972e-05 2.550930e-05 #> [11964,] 4.090248e-05 3.548052e-05 #> [11965,] 9.325314e-05 6.067923e-05 #> [11966,] 2.650268e-04 3.461562e-05 #> [11967,] 6.612697e-05 1.214595e-04 #> [11968,] 2.212302e-05 2.037735e-05 #> [11969,] 2.559747e-05 2.394178e-05 #> [11970,] 3.252718e-05 2.574327e-05 #> [11971,] 4.040993e-05 3.407976e-05 #> [11972,] 3.097313e-05 3.056931e-05 #> [11973,] 2.659264e-05 2.425011e-05 #> [11974,] 2.778075e-05 2.862961e-05 #> [11975,] 2.519949e-05 2.332508e-05 #> [11976,] 4.156098e-05 3.183447e-05 #> [11977,] 3.892493e-05 3.980980e-05 #> [11978,] 6.831200e-05 6.200132e-05 #> [11979,] 1.504102e-04 2.350791e-04 #> [11980,] 3.449405e-05 3.246820e-05 #> [11981,] 5.597312e-05 8.215317e-05 #> [11982,] 2.796083e-05 2.658020e-05 #> [11983,] 2.943874e-05 2.212170e-05 #> [11984,] 2.947426e-05 2.214995e-05 #> [11985,] 2.452993e-05 2.200982e-05 #> [11986,] 4.668086e-05 4.951190e-05 #> [11987,] 3.696409e-05 3.436884e-05 #> [11988,] 2.226628e-05 2.239459e-05 #> [11989,] 2.876210e-05 1.983675e-05 #> [11990,] 2.072939e-05 1.890178e-05 #> [11991,] 2.960568e-05 2.555241e-05 #> [11992,] 1.532770e-04 1.133060e-04 #> [11993,] 2.258150e-05 1.954271e-05 #> [11994,] 2.097549e-05 1.879777e-05 #> [11995,] 9.692268e-04 3.263000e-04 #> [11996,] 5.091809e-05 4.233802e-05 #> [11997,] 2.608060e-05 2.416912e-05 #> [11998,] 3.269468e-05 2.911007e-05 #> [11999,] 2.516860e-05 2.358958e-05 #> [12000,] 1.386123e-04 1.685249e-03 #> [12001,] 2.676558e-05 2.966535e-05 #> [12002,] 2.905535e-05 2.646091e-05 #> [12003,] 2.804512e-05 2.368927e-05 #> [12004,] 2.990616e-05 2.699306e-05 #> [12005,] 1.179945e-04 7.313183e-05 #> [12006,] 3.242802e-04 5.533437e-05 #> [12007,] 2.428357e-05 2.054722e-05 #> [12008,] 3.954974e-05 2.464239e-05 #> [12009,] 2.320448e-05 2.267313e-05 #> [12010,] 2.780211e-05 2.332626e-05 #> [12011,] 4.849343e-05 3.136410e-05 #> [12012,] 4.823979e-05 4.655301e-05 #> [12013,] 3.185859e-05 2.540517e-05 #> [12014,] 2.065524e-05 1.959214e-05 #> [12015,] 3.566971e-05 3.717239e-05 #> [12016,] 3.064240e-05 2.707472e-05 #> [12017,] 2.977971e-05 2.999647e-05 #> [12018,] 5.092895e-05 6.664962e-04 #> [12019,] 2.543306e-05 2.768675e-05 #> [12020,] 2.486663e-05 2.226077e-05 #> [12021,] 2.972305e-05 2.529758e-05 #> [12022,] 2.936155e-05 2.682836e-05 #> [12023,] 4.895832e-05 6.652434e-05 #> [12024,] 2.702441e-05 2.983531e-05 #> [12025,] 5.554452e-04 7.765836e-05 #> [12026,] 2.230450e-05 3.696787e-05 #> [12027,] 3.161814e-05 3.109576e-05 #> [12028,] 2.097099e-04 1.959659e-04 #> [12029,] 2.489688e-05 2.196252e-05 #> [12030,] 4.239647e-05 5.760287e-05 #> [12031,] 3.088301e-04 1.886155e-04 #> [12032,] 1.076769e-04 1.088260e-04 #> [12033,] 8.681223e-05 3.458014e-05 #> [12034,] 2.196334e-05 2.725018e-05 #> [12035,] 2.924785e-05 2.426460e-05 #> [12036,] 5.055826e-05 3.862947e-05 #> [12037,] 4.892819e-05 4.757599e-05 #> [12038,] 2.837395e-05 3.057921e-05 #> [12039,] 2.626051e-05 2.177701e-05 #> [12040,] 3.829554e-05 3.055557e-05 #> [12041,] 8.541546e-05 4.385229e-05 #> [12042,] 2.083194e-05 2.038618e-05 #> [12043,] 2.644407e-05 2.366981e-05 #> [12044,] 4.760841e-05 1.422009e-04 #> [12045,] 4.833078e-05 6.959415e-05 #> [12046,] 5.168560e-05 8.424079e-05 #> [12047,] 3.545827e-05 3.402724e-05 #> [12048,] 5.098109e-05 4.139228e-05 #> [12049,] 3.633767e-05 7.336308e-05 #> [12050,] 3.402081e-05 2.191490e-05 #> [12051,] 2.513401e-05 2.150835e-05 #> [12052,] 5.530757e-05 4.727551e-05 #> [12053,] 2.775909e-05 3.130760e-05 #> [12054,] 3.326696e-05 2.793799e-05 #> [12055,] 2.736519e-05 2.404199e-05 #> [12056,] 6.026704e-05 3.223955e-05 #> [12057,] 3.660313e-05 3.363469e-05 #> [12058,] 1.200674e-04 1.505976e-04 #> [12059,] 8.282173e-05 3.988223e-05 #> [12060,] 1.012206e-04 1.580447e-04 #> [12061,] 3.140047e-05 2.481926e-05 #> [12062,] 2.779083e-05 3.524964e-05 #> [12063,] 2.812088e-05 2.484839e-05 #> [12064,] 2.553972e-05 2.239957e-05 #> [12065,] 2.354578e-05 2.074663e-05 #> [12066,] 3.432882e-05 3.251055e-05 #> [12067,] 2.316447e-05 2.216604e-05 #> [12068,] 3.959927e-05 2.975608e-05 #> [12069,] 3.469096e-05 3.077901e-05 #> [12070,] 1.985022e-04 1.211819e-04 #> [12071,] 4.580786e-04 4.074752e-04 #> [12072,] 5.362716e-05 4.308060e-05 #> [12073,] 2.731668e-05 2.426494e-05 #> [12074,] 6.605840e-05 5.571883e-05 #> [12075,] 1.086627e-04 6.695277e-05 #> [12076,] 2.949504e-05 2.212308e-05 #> [12077,] 3.212874e-05 2.568967e-05 #> [12078,] 3.350877e-05 4.185157e-05 #> [12079,] 2.264372e-05 2.317560e-05 #> [12080,] 3.263189e-05 4.916760e-05 #> [12081,] 2.531860e-05 3.140544e-05 #> [12082,] 2.512845e-05 2.338908e-05 #> [12083,] 1.376902e-04 1.226541e-04 #> [12084,] 2.999596e-05 2.497377e-05 #> [12085,] 5.567637e-05 2.868509e-05 #> [12086,] 9.534802e-05 1.101765e-04 #> [12087,] 1.041612e-04 9.066425e-05 #> [12088,] 2.701421e-05 2.297466e-05 #> [12089,] 5.005743e-05 2.620070e-05 #> [12090,] 2.948499e-05 2.331873e-05 #> [12091,] 2.959673e-05 2.687567e-05 #> [12092,] 5.953159e-05 4.078356e-05 #> [12093,] 2.731691e-05 2.713385e-05 #> [12094,] 5.686547e-05 9.874855e-05 #> [12095,] 2.360984e-04 4.119221e-04 #> [12096,] 3.260119e-05 2.804666e-05 #> [12097,] 2.144281e-04 2.621895e-04 #> [12098,] 2.190979e-05 2.050726e-05 #> [12099,] 2.264497e-05 2.188737e-05 #> [12100,] 4.929003e-05 4.237808e-05 #> [12101,] 1.011070e-04 7.689683e-05 #> [12102,] 3.021491e-05 3.127875e-05 #> [12103,] 1.162843e-04 6.716258e-05 #> [12104,] 2.808814e-05 2.516919e-05 #> [12105,] 2.521320e-05 2.445090e-05 #> [12106,] 4.684311e-05 3.070532e-05 #> [12107,] 2.576125e-05 2.352656e-05 #> [12108,] 3.656479e-05 3.977344e-05 #> [12109,] 4.637860e-05 2.817989e-05 #> [12110,] 2.504753e-05 2.945047e-05 #> [12111,] 3.187003e-05 2.828083e-05 #> [12112,] 3.053362e-04 1.882837e-03 #> [12113,] 2.892437e-05 3.096301e-05 #> [12114,] 2.808548e-05 2.812215e-05 #> [12115,] 9.344791e-05 3.295611e-05 #> [12116,] 2.292686e-05 1.863789e-05 #> [12117,] 5.320943e-05 4.197489e-05 #> [12118,] 2.786925e-05 2.326068e-05 #> [12119,] 2.931843e-05 2.800016e-05 #> [12120,] 2.476286e-05 2.273863e-05 #> [12121,] 2.901823e-05 2.531369e-05 #> [12122,] 2.825969e-05 2.890299e-05 #> [12123,] 2.895710e-05 2.677417e-05 #> [12124,] 2.751345e-04 4.454714e-04 #> [12125,] 3.173904e-05 2.981847e-05 #> [12126,] 2.766935e-05 3.006952e-05 #> [12127,] 2.953021e-05 3.285553e-05 #> [12128,] 3.065088e-05 3.439172e-05 #> [12129,] 3.077958e-05 3.455355e-05 #> [12130,] 5.450761e-05 2.248168e-04 #> [12131,] 3.316999e-05 3.212423e-05 #> [12132,] 2.812833e-05 2.420005e-05 #> [12133,] 4.049572e-05 3.215357e-05 #> [12134,] 8.804078e-05 4.317898e-05 #> [12135,] 2.857955e-05 2.875317e-05 #> [12136,] 3.000613e-05 2.417310e-05 #> [12137,] 1.283774e-04 8.232313e-05 #> [12138,] 2.095060e-05 1.986350e-05 #> [12139,] 3.623454e-05 4.627362e-05 #> [12140,] 3.075835e-05 3.225524e-05 #> [12141,] 3.748629e-05 5.438828e-05 #> [12142,] 3.486747e-05 2.617411e-05 #> [12143,] 2.899168e-05 3.692652e-05 #> [12144,] 2.782452e-05 2.688187e-05 #> [12145,] 2.146641e-04 6.101170e-05 #> [12146,] 2.596429e-05 2.285555e-05 #> [12147,] 6.447701e-05 3.574539e-05 #> [12148,] 3.398954e-05 3.038818e-05 #> [12149,] 1.255728e-04 6.178385e-05 #> [12150,] 2.949226e-05 2.664152e-05 #> [12151,] 2.845265e-05 3.281293e-05 #> [12152,] 2.738003e-05 2.190032e-05 #> [12153,] 2.729464e-05 2.344025e-05 #> [12154,] 2.880786e-05 3.441693e-05 #> [12155,] 7.488129e-05 8.825765e-05 #> [12156,] 2.550465e-05 2.137580e-05 #> [12157,] 2.975270e-05 2.857202e-05 #> [12158,] 4.376320e-05 4.123108e-05 #> [12159,] 2.205643e-05 2.277499e-05 #> [12160,] 2.934463e-05 2.530730e-05 #> [12161,] 5.552268e-05 4.329289e-05 #> [12162,] 2.731776e-05 2.558011e-05 #> [12163,] 1.193182e-04 4.630958e-05 #> [12164,] 1.100793e-04 6.460667e-05 #> [12165,] 2.621082e-05 2.250974e-05 #> [12166,] 2.482663e-05 2.086677e-05 #> [12167,] 2.354583e-05 2.019019e-05 #> [12168,] 3.295967e-05 4.309683e-05 #> [12169,] 3.944636e-05 3.151614e-05 #> [12170,] 2.895723e-05 2.361053e-05 #> [12171,] 4.439666e-05 3.789108e-05 #> [12172,] 4.606369e-05 5.229712e-05 #> [12173,] 2.563453e-05 3.409142e-05 #> [12174,] 2.904740e-04 1.835236e-04 #> [12175,] 2.880136e-05 2.731076e-05 #> [12176,] 2.785773e-04 5.405455e-05 #> [12177,] 4.098337e-05 3.332585e-05 #> [12178,] 3.280558e-05 3.631001e-05 #> [12179,] 3.353482e-05 2.537081e-05 #> [12180,] 2.092146e-05 2.063218e-05 #> [12181,] 2.317911e-05 2.297150e-05 #> [12182,] 2.615729e-05 2.379013e-05 #> [12183,] 2.855811e-05 2.656783e-05 #> [12184,] 3.557935e-05 2.916690e-05 #> [12185,] 2.793273e-05 2.317591e-05 #> [12186,] 2.766596e-05 3.409908e-05 #> [12187,] 8.827047e-05 9.071791e-05 #> [12188,] 7.124965e-05 2.171564e-04 #> [12189,] 3.478972e-05 3.491653e-05 #> [12190,] 1.129405e-04 3.232992e-04 #> [12191,] 3.406311e-05 3.829018e-05 #> [12192,] 3.402782e-04 1.450470e-04 #> [12193,] 2.393539e-05 2.857948e-05 #> [12194,] 1.956409e-05 1.905279e-05 #> [12195,] 2.704420e-05 2.505473e-05 #> [12196,] 2.864359e-05 2.416084e-05 #> [12197,] 1.285308e-04 1.036159e-03 #> [12198,] 9.185781e-05 1.948103e-04 #> [12199,] 6.908168e-05 3.677583e-05 #> [12200,] 4.316487e-05 3.206701e-05 #> [12201,] 3.029742e-05 3.006850e-05 #> [12202,] 3.127595e-05 2.854739e-05 #> [12203,] 2.234108e-05 2.115451e-05 #> [12204,] 2.734786e-05 2.575057e-05 #> [12205,] 3.151236e-05 2.643913e-05 #> [12206,] 5.005615e-05 2.544794e-05 #> [12207,] 2.553776e-05 8.544544e-05 #> [12208,] 3.455939e-05 3.075842e-05 #> [12209,] 2.246069e-05 2.032504e-05 #> [12210,] 2.605939e-05 2.459115e-05 #> [12211,] 5.488088e-05 5.215317e-05 #> [12212,] 8.150298e-05 2.880925e-05 #> [12213,] 3.021741e-05 2.300787e-05 #> [12214,] 2.258437e-05 2.085125e-05 #> [12215,] 2.971401e-05 2.438070e-05 #> [12216,] 2.848921e-05 2.541645e-05 #> [12217,] 2.423719e-05 2.030018e-05 #> [12218,] 2.794188e-05 2.726070e-05 #> [12219,] 4.107712e-05 3.620352e-05 #> [12220,] 3.250613e-05 3.541967e-05 #> [12221,] 3.249965e-05 2.816583e-05 #> [12222,] 2.942582e-05 2.841742e-05 #> [12223,] 3.340419e-05 2.775803e-05 #> [12224,] 3.658893e-05 9.488866e-05 #> [12225,] 3.077393e-05 2.785901e-05 #> [12226,] 3.298410e-05 2.413672e-05 #> [12227,] 3.122996e-05 2.577691e-05 #> [12228,] 2.828951e-05 2.809814e-05 #> [12229,] 8.166835e-04 3.155698e-04 #> [12230,] 3.132800e-05 2.433724e-05 #> [12231,] 2.579472e-05 4.030587e-05 #> [12232,] 2.953425e-05 2.737341e-05 #> [12233,] 5.345319e-05 5.329978e-05 #> [12234,] 4.212362e-05 3.765535e-05 #> [12235,] 3.577618e-05 2.433064e-05 #> [12236,] 2.610919e-04 1.927204e-04 #> [12237,] 3.105614e-05 3.002083e-05 #> [12238,] 6.525708e-05 1.680711e-04 #> [12239,] 3.067374e-05 3.627575e-05 #> [12240,] 2.282508e-05 2.097411e-05 #> [12241,] 2.990885e-05 2.844336e-05 #> [12242,] 5.956998e-05 3.078820e-05 #> [12243,] 3.072863e-05 2.362450e-05 #> [12244,] 2.216839e-05 1.985679e-05 #> [12245,] 3.141060e-05 2.589475e-05 #> [12246,] 5.053794e-05 8.593250e-05 #> [12247,] 2.294343e-05 2.218489e-05 #> [12248,] 6.108599e-05 1.151533e-04 #> [12249,] 1.622603e-04 2.141922e-04 #> [12250,] 2.627264e-05 2.406065e-05 #> [12251,] 2.662515e-05 2.413430e-05 #> [12252,] 3.638823e-05 3.950068e-05 #> [12253,] 3.022455e-05 2.437860e-05 #> [12254,] 2.904798e-05 2.592790e-05 #> [12255,] 2.648714e-05 3.182262e-05 #> [12256,] 2.623707e-05 2.271679e-05 #> [12257,] 2.109032e-05 1.920408e-05 #> [12258,] 2.310488e-05 2.354838e-05 #> [12259,] 2.854719e-05 2.609414e-05 #> [12260,] 4.232473e-05 3.034642e-05 #> [12261,] 2.836278e-05 2.795609e-05 #> [12262,] 2.780447e-05 2.561606e-05 #> [12263,] 6.112188e-05 4.006737e-05 #> [12264,] 4.498910e-05 7.547583e-05 #> [12265,] 3.164198e-05 3.363016e-05 #> [12266,] 9.201802e-04 1.441851e-04 #> [12267,] 3.197645e-05 4.445257e-05 #> [12268,] 2.641997e-05 2.915904e-05 #> [12269,] 2.530786e-05 2.213526e-05 #> [12270,] 2.339874e-05 2.126506e-05 #> [12271,] 2.994129e-05 2.846218e-05 #> [12272,] 4.795586e-05 3.303388e-05 #> [12273,] 2.727416e-04 1.334311e-04 #> [12274,] 2.400233e-05 2.584898e-05 #> [12275,] 3.196491e-05 5.633141e-05 #> [12276,] 2.850793e-05 2.714169e-05 #> [12277,] 2.754186e-05 3.062774e-05 #> [12278,] 6.948588e-05 4.944445e-05 #> [12279,] 1.387768e-04 1.580071e-04 #> [12280,] 3.301742e-05 3.835360e-05 #> [12281,] 2.404967e-05 2.224240e-05 #> [12282,] 2.442163e-05 2.367353e-05 #> [12283,] 3.422266e-05 3.018148e-05 #> [12284,] 5.310720e-05 4.271796e-05 #> [12285,] 3.663475e-05 2.709067e-05 #> [12286,] 2.770122e-05 2.566582e-05 #> [12287,] 2.203810e-05 2.205093e-05 #> [12288,] 2.616241e-05 2.157344e-05 #> [12289,] 2.435234e-05 2.418741e-05 #> [12290,] 3.288764e-05 3.173950e-05 #> [12291,] 2.700335e-05 2.385345e-05 #> [12292,] 3.480366e-05 2.877633e-05 #> [12293,] 3.096625e-05 3.453399e-05 #> [12294,] 2.663031e-05 2.648439e-05 #> [12295,] 3.315840e-05 2.521439e-05 #> [12296,] 3.943508e-05 2.934243e-05 #> [12297,] 2.472244e-05 2.397299e-05 #> [12298,] 3.750258e-05 5.943745e-05 #> [12299,] 3.272893e-05 2.794916e-05 #> [12300,] 3.182506e-05 2.754585e-05 #> [12301,] 3.166234e-05 5.577017e-05 #> [12302,] 2.629231e-05 2.148496e-05 #> [12303,] 3.439293e-05 3.954167e-05 #> [12304,] 2.612030e-05 4.329345e-05 #> [12305,] 2.698030e-05 2.678689e-05 #> [12306,] 3.716319e-05 3.311783e-05 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3.237901e-05 2.738263e-05 #> [12334,] 8.129234e-05 1.708905e-04 #> [12335,] 3.009853e-05 2.477493e-05 #> [12336,] 2.363369e-05 2.069124e-05 #> [12337,] 3.065823e-05 2.608669e-05 #> [12338,] 1.064676e-04 1.253999e-04 #> [12339,] 6.480312e-05 4.157264e-05 #> [12340,] 4.339563e-05 2.435725e-05 #> [12341,] 3.935385e-05 3.580140e-05 #> [12342,] 2.937812e-05 2.835415e-05 #> [12343,] 2.864994e-04 2.718015e-04 #> [12344,] 2.911405e-05 2.667494e-05 #> [12345,] 2.830860e-05 2.408767e-05 #> [12346,] 2.622629e-05 2.370439e-05 #> [12347,] 2.726131e-05 2.596387e-05 #> [12348,] 2.959300e-05 3.001891e-05 #> [12349,] 2.171232e-05 1.935199e-05 #> [12350,] 3.602487e-05 2.978239e-05 #> [12351,] 2.490320e-05 2.344813e-05 #> [12352,] 3.403425e-05 4.533324e-05 #> [12353,] 2.494006e-05 6.718839e-05 #> [12354,] 3.005384e-05 2.818040e-05 #> [12355,] 3.381499e-05 2.621418e-05 #> [12356,] 2.780290e-05 2.659074e-05 #> [12357,] 2.857466e-05 2.620469e-05 #> [12358,] 2.464880e-05 2.054420e-05 #> [12359,] 2.529950e-05 2.299776e-05 #> [12360,] 2.658726e-05 2.469282e-05 #> [12361,] 2.747971e-05 2.517547e-05 #> [12362,] 2.310984e-05 2.076599e-05 #> [12363,] 2.788587e-05 2.997014e-05 #> [12364,] 2.796174e-05 2.634434e-05 #> [12365,] 3.105800e-05 2.621742e-05 #> [12366,] 2.863760e-05 2.545715e-05 #> [12367,] 2.860069e-05 2.266034e-05 #> [12368,] 7.465620e-05 3.684292e-05 #> [12369,] 2.309205e-05 2.157846e-05 #> [12370,] 3.062625e-05 3.904702e-05 #> [12371,] 7.075819e-05 4.554888e-05 #> [12372,] 2.187395e-05 2.642867e-05 #> [12373,] 3.005570e-05 2.780018e-05 #> [12374,] 5.557052e-05 5.159570e-05 #> [12375,] 2.287046e-05 3.095904e-05 #> [12376,] 8.475859e-05 4.245981e-05 #> [12377,] 1.118162e-04 1.375092e-04 #> [12378,] 3.313134e-05 2.747377e-05 #> [12379,] 3.901039e-05 2.668013e-05 #> [12380,] 5.923226e-05 2.985587e-05 #> [12381,] 2.807391e-05 2.407726e-05 #> [12382,] 2.548431e-05 2.232066e-05 #> [12383,] 3.305224e-05 2.663096e-05 #> [12384,] 3.761396e-05 3.072900e-05 #> [12385,] 3.096279e-05 3.903875e-05 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3.213714e-05 3.091870e-05 #> [12413,] 2.551758e-05 2.249238e-05 #> [12414,] 3.153484e-05 2.597751e-05 #> [12415,] 3.397037e-05 7.378882e-05 #> [12416,] 3.545337e-05 5.903607e-05 #> [12417,] 2.704399e-05 2.426052e-05 #> [12418,] 3.125148e-05 2.342152e-05 #> [12419,] 3.650370e-05 3.797997e-05 #> [12420,] 2.205178e-05 2.129977e-05 #> [12421,] 8.130909e-05 1.852309e-04 #> [12422,] 2.942037e-05 2.727396e-05 #> [12423,] 2.670760e-05 2.276312e-05 #> [12424,] 2.795818e-05 2.414951e-05 #> [12425,] 3.523273e-05 3.475392e-05 #> [12426,] 4.314455e-05 2.318532e-05 #> [12427,] 2.869782e-05 2.861421e-05 #> [12428,] 2.528471e-05 2.277617e-05 #> [12429,] 3.560585e-05 2.734304e-05 #> [12430,] 1.558430e-04 4.075710e-05 #> [12431,] 2.516808e-05 2.182339e-05 #> [12432,] 3.260456e-05 2.872223e-05 #> [12433,] 3.266616e-05 3.782761e-05 #> [12434,] 8.552619e-05 4.750882e-05 #> [12435,] 3.181079e-05 2.565573e-05 #> [12436,] 2.589319e-05 2.268936e-05 #> [12437,] 3.767218e-05 2.957245e-05 #> [12438,] 2.934324e-05 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3.620370e-05 2.836256e-05 #> [12492,] 2.596622e-05 2.489782e-05 #> [12493,] 3.032743e-05 2.524372e-05 #> [12494,] 2.829621e-05 2.705984e-05 #> [12495,] 2.112914e-05 3.473442e-05 #> [12496,] 3.490923e-04 5.168843e-04 #> [12497,] 4.463778e-05 9.642700e-05 #> [12498,] 5.185430e-05 4.201344e-05 #> [12499,] 2.230244e-05 2.006539e-05 #> [12500,] 2.287383e-05 2.399016e-05 #> [12501,] 2.600220e-05 2.337590e-05 #> [12502,] 2.753528e-05 2.700129e-05 #> [12503,] 4.393089e-04 8.551822e-05 #> [12504,] 2.962929e-05 2.285174e-05 #> [12505,] 3.236159e-05 3.706586e-05 #> [12506,] 7.481703e-05 3.609160e-05 #> [12507,] 3.282866e-05 2.533241e-05 #> [12508,] 6.818479e-04 5.377470e-05 #> [12509,] 2.102324e-05 1.939038e-05 #> [12510,] 2.367143e-05 2.138717e-05 #> [12511,] 3.075467e-05 5.640627e-05 #> [12512,] 3.122326e-05 3.975712e-05 #> [12513,] 2.990342e-05 6.234214e-05 #> [12514,] 1.114923e-04 1.083056e-04 #> [12515,] 2.414350e-05 2.011428e-05 #> [12516,] 3.689819e-05 3.843705e-05 #> [12517,] 4.126805e-05 3.942135e-05 #> [12518,] 2.844360e-05 2.252976e-05 #> [12519,] 2.131447e-05 2.024803e-05 #> [12520,] 2.284292e-05 2.301192e-05 #> [12521,] 2.241373e-05 2.088723e-05 #> [12522,] 2.581119e-05 2.355849e-05 #> [12523,] 2.169893e-05 2.514287e-05 #> [12524,] 2.544602e-05 1.263377e-04 #> [12525,] 2.966326e-05 2.396382e-05 #> [12526,] 3.011862e-05 2.340920e-05 #> [12527,] 7.658777e-05 2.678449e-05 #> [12528,] 2.779120e-05 2.336013e-05 #> [12529,] 2.950371e-05 2.815075e-05 #> [12530,] 1.475197e-04 1.482899e-04 #> [12531,] 3.538846e-05 6.008133e-05 #> [12532,] 3.303671e-05 4.059519e-05 #> [12533,] 3.242624e-05 3.009389e-05 #> [12534,] 2.400150e-05 2.047318e-05 #> [12535,] 5.394525e-05 8.139834e-05 #> [12536,] 2.149693e-05 2.027018e-05 #> [12537,] 8.001504e-05 1.117215e-04 #> [12538,] 3.945172e-05 4.646276e-05 #> [12539,] 3.148791e-05 2.459651e-05 #> [12540,] 2.549241e-05 2.169135e-05 #> [12541,] 7.429273e-05 4.605789e-05 #> [12542,] 3.713322e-05 3.732438e-05 #> [12543,] 3.137403e-05 3.304936e-05 #> [12544,] 1.180067e-04 1.506823e-04 #> [12545,] 2.516103e-05 2.116975e-05 #> [12546,] 4.138762e-05 3.500020e-05 #> [12547,] 3.267171e-05 3.742812e-05 #> [12548,] 2.405027e-05 2.133780e-05 #> [12549,] 2.874684e-05 2.446518e-05 #> [12550,] 4.232077e-05 6.129482e-05 #> [12551,] 2.445337e-05 2.184902e-05 #> [12552,] 3.826426e-05 3.093281e-05 #> [12553,] 2.596955e-05 2.221280e-05 #> [12554,] 2.850075e-05 2.178784e-05 #> [12555,] 2.823946e-05 2.604765e-05 #> [12556,] 2.058550e-05 2.038413e-05 #> [12557,] 2.078833e-04 2.478712e-04 #> [12558,] 2.963272e-05 2.369424e-05 #> [12559,] 2.636008e-05 2.542793e-05 #> [12560,] 9.413634e-05 6.866263e-05 #> [12561,] 1.499077e-04 7.360767e-05 #> [12562,] 2.845511e-05 2.532029e-05 #> [12563,] 5.373807e-05 5.615408e-05 #> [12564,] 3.570782e-05 2.674132e-05 #> [12565,] 3.993838e-05 3.195680e-05 #> [12566,] 2.178400e-05 1.996572e-05 #> [12567,] 2.645193e-04 7.180245e-05 #> [12568,] 5.093577e-05 3.671207e-05 #> [12569,] 3.035333e-05 4.786343e-05 #> [12570,] 4.205705e-05 3.404906e-05 #> [12571,] 2.857617e-05 2.473971e-05 #> [12572,] 1.171228e-04 3.318417e-04 #> [12573,] 2.851137e-05 2.721722e-05 #> [12574,] 3.202989e-05 2.545908e-05 #> [12575,] 4.153753e-05 3.394275e-05 #> [12576,] 2.861828e-05 2.294538e-05 #> [12577,] 4.099759e-05 3.331934e-05 #> [12578,] 2.942794e-05 2.397310e-05 #> [12579,] 2.680209e-05 2.084127e-05 #> [12580,] 2.894462e-05 2.253619e-05 #> [12581,] 2.312342e-05 2.157332e-05 #> [12582,] 2.754749e-05 2.363233e-05 #> [12583,] 2.885469e-05 2.439486e-05 #> [12584,] 2.155543e-05 1.978334e-05 #> [12585,] 3.157339e-05 3.100883e-05 #> [12586,] 3.008689e-05 2.607307e-05 #> [12587,] 2.178061e-05 2.063560e-05 #> [12588,] 2.410580e-05 2.090979e-05 #> [12589,] 2.205550e-05 2.129894e-05 #> [12590,] 3.619051e-05 2.447561e-05 #> [12591,] 3.139221e-05 2.650037e-05 #> [12592,] 3.040156e-05 2.457629e-05 #> [12593,] 3.675643e-05 8.214648e-05 #> [12594,] 2.279105e-05 2.690480e-05 #> [12595,] 3.754695e-05 3.612861e-05 #> [12596,] 1.896148e-03 1.123375e-03 #> [12597,] 3.126860e-05 2.762889e-05 #> [12598,] 6.324413e-05 2.979953e-05 #> [12599,] 3.455285e-05 2.643861e-05 #> [12600,] 4.565730e-05 4.919040e-05 #> [12601,] 8.832315e-05 4.302300e-05 #> [12602,] 3.704257e-05 3.404917e-05 #> [12603,] 2.747627e-05 2.452707e-05 #> [12604,] 3.154808e-05 3.007630e-05 #> [12605,] 4.172314e-05 2.333034e-05 #> [12606,] 5.179859e-05 2.789792e-05 #> [12607,] 9.546025e-04 5.323524e-04 #> [12608,] 5.760181e-05 4.579519e-05 #> [12609,] 2.705714e-05 2.538100e-05 #> [12610,] 3.002876e-05 2.629113e-05 #> [12611,] 1.226716e-03 8.029422e-04 #> [12612,] 2.517386e-05 2.170295e-05 #> [12613,] 1.239476e-03 9.976479e-04 #> [12614,] 2.369151e-05 2.249216e-05 #> [12615,] 3.357838e-05 2.859816e-05 #> [12616,] 2.817658e-05 2.846843e-05 #> [12617,] 3.747724e-05 3.729480e-05 #> [12618,] 3.856472e-05 4.652745e-05 #> [12619,] 2.736962e-05 2.232152e-05 #> [12620,] 5.218191e-05 2.341184e-04 #> [12621,] 7.394254e-05 1.137284e-04 #> [12622,] 2.622269e-05 2.179034e-05 #> [12623,] 2.245156e-05 2.061096e-05 #> [12624,] 2.677883e-05 2.384279e-05 #> [12625,] 2.851243e-05 3.022030e-05 #> [12626,] 3.288579e-05 2.704646e-05 #> [12627,] 2.313796e-03 1.596427e-03 #> [12628,] 2.652958e-05 2.425161e-05 #> [12629,] 3.374153e-05 3.523475e-05 #> [12630,] 1.121270e-04 9.856436e-05 #> [12631,] 4.612141e-05 2.858193e-05 #> [12632,] 5.877085e-05 6.323056e-05 #> [12633,] 3.257321e-05 2.932358e-05 #> [12634,] 3.987744e-05 4.448908e-05 #> [12635,] 2.342336e-05 1.925690e-05 #> [12636,] 3.511779e-05 3.182258e-05 #> [12637,] 4.680315e-05 3.397453e-05 #> [12638,] 2.347413e-05 2.235106e-05 #> [12639,] 3.190893e-05 2.800843e-05 #> [12640,] 1.856389e-05 1.906604e-05 #> [12641,] 6.670225e-05 6.448229e-05 #> [12642,] 4.553901e-04 7.105982e-04 #> [12643,] 3.265736e-05 4.847436e-05 #> [12644,] 2.321373e-05 2.163677e-05 #> [12645,] 2.623581e-05 2.816895e-05 #> [12646,] 2.942901e-05 2.420462e-05 #> [12647,] 2.974760e-05 2.294703e-05 #> [12648,] 2.861321e-05 3.251009e-05 #> [12649,] 3.732458e-05 3.525149e-05 #> [12650,] 3.870568e-05 4.749399e-05 #> [12651,] 2.967315e-05 2.563303e-05 #> [12652,] 6.297230e-05 5.588546e-05 #> [12653,] 2.206997e-05 2.220691e-05 #> [12654,] 4.873016e-05 3.270521e-05 #> [12655,] 2.832288e-05 2.631618e-05 #> [12656,] 2.846106e-05 2.285141e-05 #> [12657,] 2.863411e-05 2.277967e-05 #> [12658,] 3.629478e-05 3.405448e-05 #> [12659,] 6.712836e-05 5.177629e-05 #> [12660,] 2.955499e-05 2.467082e-05 #> [12661,] 8.956940e-05 2.375382e-05 #> [12662,] 3.193980e-05 3.084500e-05 #> [12663,] 3.075741e-05 3.003573e-05 #> [12664,] 3.323320e-05 3.526666e-05 #> [12665,] 9.581092e-05 3.273715e-05 #> [12666,] 1.060495e-04 3.645472e-04 #> [12667,] 2.544683e-05 2.276494e-05 #> [12668,] 2.114453e-05 2.097943e-05 #> [12669,] 2.777991e-05 2.280722e-05 #> [12670,] 8.892511e-04 4.263853e-04 #> [12671,] 3.238988e-05 3.155201e-05 #> [12672,] 4.654480e-05 3.165297e-05 #> [12673,] 3.060851e-05 2.726590e-05 #> [12674,] 3.026290e-05 2.606793e-05 #> [12675,] 2.228797e-05 2.548031e-05 #> [12676,] 4.826760e-05 3.433287e-05 #> [12677,] 2.245210e-05 2.047112e-05 #> [12678,] 1.097969e-04 5.552159e-05 #> [12679,] 2.470973e-05 2.327822e-05 #> [12680,] 3.028646e-05 2.668219e-05 #> [12681,] 1.340864e-04 4.523507e-05 #> [12682,] 2.210161e-05 1.945675e-05 #> [12683,] 3.170056e-05 2.687755e-05 #> [12684,] 2.317130e-05 2.122116e-05 #> [12685,] 3.049827e-05 2.321061e-05 #> [12686,] 2.456420e-05 2.854781e-05 #> [12687,] 2.718737e-05 2.609067e-05 #> [12688,] 2.267974e-05 2.057180e-05 #> [12689,] 3.635451e-05 2.461320e-05 #> [12690,] 2.545372e-05 2.263671e-05 #> [12691,] 3.483942e-05 4.276823e-05 #> [12692,] 2.975640e-05 2.656529e-05 #> [12693,] 6.243016e-05 5.155642e-05 #> [12694,] 4.949755e-05 3.786382e-05 #> [12695,] 2.552008e-05 2.294661e-05 #> [12696,] 3.003613e-05 2.652165e-05 #> [12697,] 3.012559e-05 2.704867e-05 #> [12698,] 4.082051e-04 2.026803e-03 #> [12699,] 4.580320e-04 4.091092e-04 #> [12700,] 1.440327e-03 7.749984e-04 #> [12701,] 3.554213e-05 3.038591e-05 #> [12702,] 3.798503e-05 2.660264e-05 #> [12703,] 2.360905e-05 2.088659e-05 #> [12704,] 2.686985e-05 2.184333e-05 #> [12705,] 2.827217e-05 2.622329e-05 #> [12706,] 3.125992e-05 3.026463e-05 #> [12707,] 3.607891e-05 2.673626e-05 #> [12708,] 7.703944e-05 8.823786e-05 #> [12709,] 2.751727e-05 2.336509e-05 #> [12710,] 3.427685e-05 5.621024e-05 #> [12711,] 3.400907e-05 3.652077e-05 #> [12712,] 2.274949e-05 1.957760e-05 #> [12713,] 2.293200e-05 2.579614e-05 #> [12714,] 2.576734e-05 2.186606e-05 #> [12715,] 4.817787e-05 4.873682e-05 #> [12716,] 2.704350e-05 2.558129e-05 #> [12717,] 2.162408e-04 1.356834e-03 #> [12718,] 3.804262e-05 3.382635e-05 #> [12719,] 2.406623e-05 2.171944e-05 #> [12720,] 2.753370e-05 2.421655e-05 #> [12721,] 2.190257e-05 2.309044e-05 #> [12722,] 2.624619e-05 2.772136e-05 #> [12723,] 4.283404e-05 3.394887e-05 #> [12724,] 2.859810e-05 2.595743e-05 #> [12725,] 3.378635e-05 3.621742e-05 #> [12726,] 3.377762e-05 2.586962e-05 #> [12727,] 3.399196e-05 3.246209e-05 #> [12728,] 4.096580e-05 3.046249e-05 #> [12729,] 4.102347e-05 3.884884e-05 #> [12730,] 4.551785e-05 1.033657e-04 #> [12731,] 3.004172e-05 2.535525e-05 #> [12732,] 2.114367e-05 2.127097e-05 #> [12733,] 2.347042e-05 2.063704e-05 #> [12734,] 3.281558e-05 3.083463e-05 #> [12735,] 2.723392e-05 2.518676e-05 #> [12736,] 2.339384e-05 2.159868e-05 #> [12737,] 1.303138e-04 3.162076e-05 #> [12738,] 4.553129e-05 4.176627e-05 #> [12739,] 4.844886e-05 6.530521e-05 #> [12740,] 3.351289e-04 4.783656e-05 #> [12741,] 4.574186e-05 5.962919e-05 #> [12742,] 2.898167e-05 2.684170e-05 #> [12743,] 4.800881e-05 4.700673e-05 #> [12744,] 2.578977e-05 2.543731e-05 #> [12745,] 4.428179e-05 2.832851e-05 #> [12746,] 8.436860e-05 3.500884e-05 #> [12747,] 2.601321e-05 2.574925e-05 #> [12748,] 5.994104e-05 6.084295e-05 #> [12749,] 3.539538e-05 3.405896e-05 #> [12750,] 4.058348e-05 6.241610e-05 #> [12751,] 8.352073e-05 2.535861e-05 #> [12752,] 2.569537e-05 2.207767e-05 #> [12753,] 6.854326e-05 9.633881e-05 #> [12754,] 2.276256e-05 2.306032e-05 #> [12755,] 2.851705e-05 2.486087e-05 #> [12756,] 2.402872e-05 2.362342e-05 #> [12757,] 5.120405e-04 1.310886e-04 #> [12758,] 2.312673e-05 2.632373e-05 #> [12759,] 2.795308e-05 2.397156e-05 #> [12760,] 4.901892e-05 3.985136e-05 #> [12761,] 1.334898e-04 1.420877e-04 #> [12762,] 4.068137e-05 2.342163e-05 #> [12763,] 9.409031e-05 1.258013e-04 #> [12764,] 1.250123e-04 1.383579e-04 #> [12765,] 2.180433e-04 1.118444e-04 #> [12766,] 8.744346e-05 1.702585e-04 #> [12767,] 2.633737e-05 2.133127e-05 #> [12768,] 1.777494e-04 1.081238e-04 #> [12769,] 1.286681e-04 1.856485e-03 #> [12770,] 2.224501e-05 2.401262e-05 #> [12771,] 2.438261e-05 2.228731e-05 #> [12772,] 3.537560e-05 2.793852e-05 #> [12773,] 3.295483e-05 2.999566e-05 #> [12774,] 9.229651e-04 2.669301e-04 #> [12775,] 3.444306e-05 4.356440e-05 #> [12776,] 2.649796e-05 3.054297e-05 #> [12777,] 4.194945e-05 4.141472e-05 #> [12778,] 2.573364e-05 2.149359e-05 #> [12779,] 2.360486e-05 2.993540e-05 #> [12780,] 2.919991e-05 2.492491e-05 #> [12781,] 3.632018e-05 2.637473e-05 #> [12782,] 4.028064e-05 2.089265e-05 #> [12783,] 2.777472e-05 3.440334e-05 #> [12784,] 2.944719e-05 2.333506e-05 #> [12785,] 7.645299e-04 9.056576e-04 #> [12786,] 1.350630e-03 7.977867e-04 #> [12787,] 3.202551e-05 2.545751e-05 #> [12788,] 1.554755e-04 7.517610e-05 #> [12789,] 2.465921e-05 2.240417e-05 #> [12790,] 3.223680e-04 8.023236e-05 #> [12791,] 4.587177e-05 6.484649e-05 #> [12792,] 3.845409e-05 1.481980e-04 #> [12793,] 3.006537e-05 2.960540e-05 #> [12794,] 4.251619e-05 5.184004e-05 #> [12795,] 4.880992e-05 5.331132e-05 #> [12796,] 2.993166e-05 2.916465e-05 #> [12797,] 4.055220e-05 6.109429e-05 #> [12798,] 6.257394e-04 5.798390e-04 #> [12799,] 2.847800e-05 2.846225e-05 #> [12800,] 8.357734e-05 5.448095e-05 #> [12801,] 4.927359e-05 5.843676e-05 #> [12802,] 5.304569e-05 2.331537e-05 #> [12803,] 3.341779e-05 2.762403e-05 #> [12804,] 5.330226e-05 4.179269e-05 #> [12805,] 3.234100e-05 7.769012e-05 #> [12806,] 1.748099e-04 3.512450e-05 #> [12807,] 3.930522e-05 5.617732e-05 #> [12808,] 6.006869e-05 2.759783e-05 #> [12809,] 3.487190e-05 2.813392e-05 #> [12810,] 3.593739e-05 2.589483e-05 #> [12811,] 4.038994e-05 3.632907e-05 #> [12812,] 2.261582e-05 2.228757e-05 #> [12813,] 6.872036e-05 3.023596e-05 #> [12814,] 4.247718e-05 5.184231e-05 #> [12815,] 3.095381e-05 2.773328e-05 #> [12816,] 8.751485e-05 1.350157e-04 #> [12817,] 3.095282e-05 3.255261e-05 #> [12818,] 5.287306e-05 9.463689e-05 #> [12819,] 3.372334e-05 3.153681e-05 #> [12820,] 1.840196e-03 1.347075e-04 #> [12821,] 2.709433e-05 2.936492e-05 #> [12822,] 8.488018e-05 8.076602e-05 #> [12823,] 6.209057e-05 3.972305e-05 #> [12824,] 4.561944e-05 2.604363e-05 #> [12825,] 3.664248e-05 3.233038e-05 #> [12826,] 4.042456e-05 4.412295e-05 #> [12827,] 4.096902e-05 7.497540e-05 #> [12828,] 3.248738e-05 2.832925e-05 #> [12829,] 3.512041e-05 2.896942e-05 #> [12830,] 8.598967e-05 1.159830e-04 #> [12831,] 9.531836e-05 2.563173e-04 #> [12832,] 4.249869e-05 2.779072e-05 #> [12833,] 3.135517e-05 2.558727e-05 #> [12834,] 8.073925e-05 5.878552e-05 #> [12835,] 1.597001e-04 1.303410e-04 #> [12836,] 2.778729e-04 8.911757e-04 #> [12837,] 2.141926e-05 2.423079e-05 #> [12838,] 2.967883e-05 2.595557e-05 #> [12839,] 2.954597e-05 3.321487e-05 #> [12840,] 3.082053e-05 2.282766e-05 #> [12841,] 5.911085e-05 4.406004e-04 #> [12842,] 2.665519e-05 2.093232e-05 #> [12843,] 2.958819e-05 2.216369e-05 #> [12844,] 3.497411e-05 2.698529e-05 #> [12845,] 2.020185e-04 2.451092e-04 #> [12846,] 5.051894e-05 4.098798e-05 #> [12847,] 4.688022e-05 5.642443e-05 #> [12848,] 3.599589e-05 2.960775e-05 #> [12849,] 4.027373e-05 2.767195e-05 #> [12850,] 2.243597e-04 5.089707e-05 #> [12851,] 3.273901e-05 3.815937e-05 #> [12852,] 4.189649e-05 4.483580e-05 #> [12853,] 2.484442e-05 2.445693e-05 #> [12854,] 2.761452e-05 2.372895e-05 #> [12855,] 3.413274e-05 2.953993e-05 #> [12856,] 3.325244e-05 2.347388e-05 #> [12857,] 5.246107e-05 4.998470e-05 #> [12858,] 3.315862e-05 2.736113e-05 #> [12859,] 3.008332e-05 2.351305e-05 #> [12860,] 1.247610e-04 7.283940e-05 #> [12861,] 3.253843e-04 2.448004e-04 #> [12862,] 2.755025e-05 2.413930e-05 #> [12863,] 3.073735e-05 2.377190e-05 #> [12864,] 3.075292e-05 2.622966e-05 #> [12865,] 6.887598e-05 3.148509e-05 #> [12866,] 3.015365e-05 2.145943e-05 #> [12867,] 2.663285e-05 2.356539e-05 #> [12868,] 1.110035e-03 9.196317e-04 #> [12869,] 2.325901e-04 9.667980e-05 #> [12870,] 3.360473e-05 2.864855e-05 #> [12871,] 6.707675e-04 7.679175e-05 #> [12872,] 1.254111e-04 3.344153e-04 #> [12873,] 2.496565e-05 2.168816e-05 #> [12874,] 2.837763e-05 2.550458e-05 #> [12875,] 4.123693e-05 2.863826e-05 #> [12876,] 2.143974e-05 2.281595e-05 #> [12877,] 2.863899e-05 2.384940e-05 #> [12878,] 4.467135e-05 2.746559e-05 #> [12879,] 3.264591e-05 2.658056e-05 #> [12880,] 3.954611e-05 3.387876e-05 #> [12881,] 4.277620e-05 4.045104e-05 #> [12882,] 3.003982e-05 2.771993e-05 #> [12883,] 5.077784e-05 3.582764e-05 #> [12884,] 2.265870e-04 2.333977e-04 #> [12885,] 3.110093e-05 3.263357e-05 #> [12886,] 2.371456e-05 1.971136e-05 #> [12887,] 2.798631e-05 2.371638e-05 #> [12888,] 4.304393e-05 2.451403e-05 #> [12889,] 3.010254e-05 2.597624e-05 #> [12890,] 4.453884e-05 5.030673e-05 #> [12891,] 2.583008e-05 2.155308e-05 #> [12892,] 6.360951e-05 3.617238e-05 #> [12893,] 2.697218e-05 2.240945e-05 #> [12894,] 2.556968e-05 2.117685e-05 #> [12895,] 3.505595e-05 3.911335e-05 #> [12896,] 5.205183e-05 2.603368e-05 #> [12897,] 1.325331e-03 9.176866e-04 #> [12898,] 3.826806e-05 4.330619e-05 #> [12899,] 3.643672e-05 3.130808e-05 #> [12900,] 2.874237e-05 2.733815e-05 #> [12901,] 2.749312e-05 2.944440e-05 #> [12902,] 2.910479e-05 2.501135e-05 #> [12903,] 3.666865e-05 3.289821e-05 #> [12904,] 3.647205e-05 3.408047e-05 #> [12905,] 3.836682e-05 2.769639e-05 #> [12906,] 2.841287e-05 2.251647e-05 #> [12907,] 2.858276e-05 4.300889e-05 #> [12908,] 3.191154e-05 3.163922e-05 #> [12909,] 2.623629e-05 2.263340e-05 #> [12910,] 3.185520e-05 5.518540e-05 #> [12911,] 4.386400e-04 4.575196e-04 #> [12912,] 4.278391e-04 6.507600e-04 #> [12913,] 3.304893e-05 3.412239e-05 #> [12914,] 3.054333e-05 2.779856e-05 #> [12915,] 2.885369e-05 2.392474e-05 #> [12916,] 2.795512e-05 2.335877e-05 #> [12917,] 3.707918e-05 3.613381e-05 #> [12918,] 1.980180e-05 2.022692e-05 #> [12919,] 2.781463e-05 2.349233e-05 #> [12920,] 3.260962e-05 2.557382e-05 #> [12921,] 1.900844e-04 5.093758e-04 #> [12922,] 2.774337e-05 2.524428e-05 #> [12923,] 2.751381e-05 2.374829e-05 #> [12924,] 3.514782e-05 2.622824e-05 #> [12925,] 2.135994e-05 2.168550e-05 #> [12926,] 2.641233e-05 2.183395e-05 #> [12927,] 2.711618e-05 2.265597e-05 #> [12928,] 2.876194e-05 3.072973e-05 #> [12929,] 2.116040e-05 2.341794e-05 #> [12930,] 3.097607e-05 2.603687e-05 #> [12931,] 2.280217e-05 2.387466e-05 #> [12932,] 2.501789e-05 2.338028e-05 #> [12933,] 2.772475e-05 2.266511e-05 #> [12934,] 3.173830e-05 3.009401e-05 #> [12935,] 2.218745e-05 2.065815e-05 #> [12936,] 3.927047e-05 3.755607e-05 #> [12937,] 2.829869e-05 2.661476e-05 #> [12938,] 2.768024e-05 2.301551e-05 #> [12939,] 3.505958e-05 2.906621e-05 #> [12940,] 1.169369e-04 8.158903e-05 #> [12941,] 9.622520e-04 1.250874e-03 #> [12942,] 3.084049e-05 3.450165e-05 #> [12943,] 2.918412e-05 2.687217e-05 #> [12944,] 3.555691e-05 3.932503e-05 #> [12945,] 2.742349e-05 3.019218e-05 #> [12946,] 2.613659e-05 2.683846e-05 #> [12947,] 2.315565e-05 2.094423e-05 #> [12948,] 3.063374e-05 2.729667e-05 #> [12949,] 4.167647e-05 4.625076e-05 #> [12950,] 2.157146e-05 2.110145e-05 #> [12951,] 3.165551e-05 2.686083e-05 #> [12952,] 4.114160e-05 4.026421e-05 #> [12953,] 3.217097e-05 2.537835e-05 #> [12954,] 3.877043e-05 3.392368e-05 #> [12955,] 3.242351e-05 2.698275e-05 #> [12956,] 3.157418e-05 2.536950e-05 #> [12957,] 2.245089e-05 1.965969e-05 #> [12958,] 5.265264e-05 6.941033e-05 #> [12959,] 2.399495e-05 2.004934e-05 #> [12960,] 4.574436e-05 3.319553e-05 #> [12961,] 3.009723e-05 2.539877e-05 #> [12962,] 4.692798e-04 3.417859e-04 #> [12963,] 2.655631e-04 5.166130e-05 #> [12964,] 3.036096e-05 2.420707e-05 #> [12965,] 3.097715e-05 5.364010e-05 #> [12966,] 2.825896e-05 3.118849e-05 #> [12967,] 2.339389e-05 2.036912e-05 #> [12968,] 1.811333e-04 5.216423e-05 #> [12969,] 3.748788e-04 4.205298e-04 #> [12970,] 4.640893e-05 2.779197e-05 #> [12971,] 3.240713e-05 2.842873e-05 #> [12972,] 4.623609e-05 4.284838e-05 #> [12973,] 3.075207e-05 3.583068e-05 #> [12974,] 2.707978e-05 2.540291e-05 #> [12975,] 3.394216e-05 2.811391e-05 #> [12976,] 2.811576e-05 2.343208e-05 #> [12977,] 3.044668e-05 3.769390e-05 #> [12978,] 3.202714e-05 3.090557e-05 #> [12979,] 2.735250e-05 2.665723e-05 #> [12980,] 2.065806e-04 1.369677e-04 #> [12981,] 2.861803e-05 3.154053e-05 #> [12982,] 4.880223e-05 3.324498e-04 #> [12983,] 2.036512e-04 1.891775e-04 #> [12984,] 2.702863e-05 2.354064e-05 #> [12985,] 3.319449e-05 4.324345e-05 #> [12986,] 2.757178e-05 2.540719e-05 #> [12987,] 4.290955e-04 1.469845e-04 #> [12988,] 1.140806e-04 4.534030e-05 #> [12989,] 2.244293e-05 1.956185e-05 #> [12990,] 3.049024e-05 2.621481e-05 #> [12991,] 3.165242e-05 8.871873e-05 #> [12992,] 6.687950e-05 1.077231e-04 #> [12993,] 3.094063e-05 2.986893e-05 #> [12994,] 3.658888e-05 2.909599e-05 #> [12995,] 3.075026e-04 4.349123e-04 #> [12996,] 3.365180e-05 2.780310e-05 #> [12997,] 2.490408e-05 2.383656e-05 #> [12998,] 2.499079e-05 2.333507e-05 #> [12999,] 6.297673e-05 6.482356e-05 #> [13000,] 3.665824e-05 2.579636e-05 #> [13001,] 9.811492e-05 3.770403e-04 #> [13002,] 6.147588e-05 5.022227e-05 #> [13003,] 2.129104e-04 7.518586e-05 #> [13004,] 3.193648e-05 2.377788e-05 #> [13005,] 4.957218e-05 5.919370e-05 #> [13006,] 5.783786e-04 6.555572e-04 #> [13007,] 2.930169e-05 2.762441e-05 #> [13008,] 5.213167e-05 1.011958e-04 #> [13009,] 4.253058e-05 2.440864e-05 #> [13010,] 2.659751e-05 2.175608e-05 #> [13011,] 2.734659e-05 2.307284e-05 #> [13012,] 2.106076e-05 1.938535e-05 #> [13013,] 2.765113e-05 2.616942e-05 #> [13014,] 2.169524e-05 2.182454e-05 #> [13015,] 3.265176e-05 3.044470e-05 #> [13016,] 2.715590e-05 2.522233e-05 #> [13017,] 1.978549e-05 1.931653e-05 #> [13018,] 2.495171e-05 2.295627e-05 #> [13019,] 3.317802e-04 3.719937e-05 #> [13020,] 3.371564e-05 2.465458e-05 #> [13021,] 5.396942e-05 3.995066e-05 #> [13022,] 3.840461e-05 4.633461e-05 #> [13023,] 1.848074e-04 2.184734e-04 #> [13024,] 5.349654e-04 2.770627e-04 #> [13025,] 2.641557e-05 2.305580e-05 #> [13026,] 2.978479e-05 2.342249e-05 #> [13027,] 6.661927e-05 7.158699e-05 #> [13028,] 2.376798e-05 2.075572e-05 #> [13029,] 2.708715e-05 2.533575e-05 #> [13030,] 3.134854e-05 2.672362e-05 #> [13031,] 2.796990e-05 5.490727e-05 #> [13032,] 2.781496e-05 2.640993e-05 #> [13033,] 2.782694e-05 2.446005e-05 #> [13034,] 3.683458e-05 2.415074e-05 #> [13035,] 2.348604e-04 3.560965e-04 #> [13036,] 3.039713e-05 2.474079e-05 #> [13037,] 2.280214e-05 2.352772e-05 #> [13038,] 2.895501e-05 2.052813e-05 #> [13039,] 3.143508e-05 2.761563e-05 #> [13040,] 3.312483e-05 3.213225e-05 #> [13041,] 3.234559e-05 3.580795e-05 #> [13042,] 3.917446e-05 5.207340e-05 #> [13043,] 2.602168e-05 2.274631e-05 #> [13044,] 2.322280e-05 2.360612e-05 #> [13045,] 2.950913e-05 2.593292e-05 #> [13046,] 3.349338e-05 6.266759e-05 #> [13047,] 5.788796e-05 2.543010e-05 #> [13048,] 3.994206e-05 2.880241e-05 #> [13049,] 3.580005e-05 3.072193e-05 #> [13050,] 1.320169e-04 5.614848e-05 #> [13051,] 8.595806e-05 1.720512e-04 #> [13052,] 2.877693e-05 4.646870e-05 #> [13053,] 6.937784e-05 3.317955e-05 #> [13054,] 2.704337e-05 2.440892e-05 #> [13055,] 1.353137e-04 1.256390e-04 #> [13056,] 2.563700e-05 2.523676e-05 #> [13057,] 2.412716e-05 2.387871e-05 #> [13058,] 2.066506e-05 2.223305e-05 #> [13059,] 3.450248e-05 3.836788e-05 #> [13060,] 2.614635e-05 2.273667e-05 #> [13061,] 3.586470e-05 2.545422e-05 #> [13062,] 2.680743e-05 2.323993e-05 #> [13063,] 4.554803e-05 5.794517e-05 #> [13064,] 2.917149e-05 3.241046e-05 #> [13065,] 2.693401e-05 3.036111e-05 #> [13066,] 3.227679e-05 3.044883e-05 #> [13067,] 2.741519e-05 2.292616e-05 #> [13068,] 2.179854e-05 2.193824e-05 #> [13069,] 2.489521e-05 2.277198e-05 #> [13070,] 5.492169e-04 5.257540e-04 #> [13071,] 2.471443e-05 2.081777e-05 #> [13072,] 2.843964e-05 2.383355e-05 #> [13073,] 3.217905e-05 3.705927e-05 #> [13074,] 2.521902e-05 2.480660e-05 #> [13075,] 2.290239e-05 1.904195e-05 #> [13076,] 3.238601e-05 2.321094e-05 #> [13077,] 3.226416e-05 2.584539e-05 #> [13078,] 3.427352e-05 2.861881e-05 #> [13079,] 2.662767e-05 2.089494e-05 #> [13080,] 5.620818e-05 7.531949e-05 #> [13081,] 2.438754e-05 2.859541e-05 #> [13082,] 3.511183e-05 4.397626e-05 #> [13083,] 2.510261e-05 3.041601e-05 #> [13084,] 2.637119e-05 2.816378e-05 #> [13085,] 2.709708e-05 2.282858e-05 #> [13086,] 1.812806e-04 6.332844e-05 #> [13087,] 2.625769e-05 2.599916e-05 #> [13088,] 2.702348e-05 2.350375e-05 #> [13089,] 7.297440e-05 4.276900e-05 #> [13090,] 2.557155e-05 2.306512e-05 #> [13091,] 2.713861e-05 2.288125e-05 #> [13092,] 2.658961e-05 2.101690e-05 #> [13093,] 7.369543e-05 2.640144e-05 #> [13094,] 3.759254e-05 2.902748e-05 #> [13095,] 5.629069e-05 6.738899e-05 #> [13096,] 2.488569e-05 2.261333e-05 #> [13097,] 5.729428e-05 3.170448e-05 #> [13098,] 1.881278e-04 8.953090e-05 #> [13099,] 3.076999e-05 4.061749e-05 #> [13100,] 3.350338e-05 2.545638e-05 #> [13101,] 3.774744e-05 3.189166e-05 #> [13102,] 2.871498e-05 2.347052e-05 #> [13103,] 2.856195e-05 2.583077e-05 #> [13104,] 2.868278e-05 2.512623e-05 #> [13105,] 3.128340e-05 3.567264e-05 #> [13106,] 2.527607e-05 3.001968e-05 #> [13107,] 2.991267e-05 2.498251e-05 #> [13108,] 3.118447e-05 2.612472e-05 #> [13109,] 1.002003e-04 1.054349e-04 #> [13110,] 3.066656e-05 2.711910e-05 #> [13111,] 2.410849e-05 2.352668e-05 #> [13112,] 3.733504e-05 3.010130e-05 #> [13113,] 2.745603e-05 2.309771e-05 #> [13114,] 5.700405e-05 3.632018e-05 #> [13115,] 1.018824e-04 2.814966e-05 #> [13116,] 3.195942e-05 2.761310e-05 #> [13117,] 3.378861e-05 3.800482e-05 #> [13118,] 2.261008e-04 4.944135e-04 #> [13119,] 5.255223e-05 3.866208e-05 #> [13120,] 6.362872e-05 9.907605e-05 #> [13121,] 7.955251e-05 9.634635e-05 #> [13122,] 2.831589e-05 2.505739e-05 #> [13123,] 3.025556e-05 2.733946e-05 #> [13124,] 3.087691e-05 2.747976e-05 #> [13125,] 3.613733e-05 3.099057e-05 #> [13126,] 3.453901e-05 3.831713e-05 #> [13127,] 4.766033e-05 3.467277e-05 #> [13128,] 5.316249e-05 3.002613e-05 #> [13129,] 3.276237e-05 3.015271e-05 #> [13130,] 2.744966e-05 2.771221e-05 #> [13131,] 2.545083e-05 2.182928e-05 #> [13132,] 4.069061e-05 3.740422e-05 #> [13133,] 2.787218e-05 2.897534e-05 #> [13134,] 2.257468e-05 2.217120e-05 #> [13135,] 2.490354e-05 2.530310e-05 #> [13136,] 3.215708e-05 3.172869e-05 #> [13137,] 2.712831e-05 2.023077e-05 #> [13138,] 3.323672e-05 2.704303e-05 #> [13139,] 5.182073e-05 2.603879e-05 #> [13140,] 5.598873e-05 5.732301e-05 #> [13141,] 4.965933e-05 2.998462e-05 #> [13142,] 4.531627e-05 3.892359e-05 #> [13143,] 3.406709e-05 3.537206e-05 #> [13144,] 3.143551e-05 2.635388e-05 #> [13145,] 2.483541e-05 2.333367e-05 #> [13146,] 2.542365e-05 2.371645e-05 #> [13147,] 3.882438e-05 5.729382e-05 #> [13148,] 1.242094e-04 6.486318e-05 #> [13149,] 2.482984e-05 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4.079104e-05 2.717767e-05 #> [13203,] 5.146546e-05 4.537945e-05 #> [13204,] 2.968825e-05 2.708679e-05 #> [13205,] 3.522789e-05 4.585523e-05 #> [13206,] 2.879814e-05 2.342115e-05 #> [13207,] 3.189478e-05 3.663595e-05 #> [13208,] 2.514240e-05 2.770403e-05 #> [13209,] 2.667389e-05 2.584015e-05 #> [13210,] 5.642987e-05 2.797944e-05 #> [13211,] 2.580676e-05 2.403239e-05 #> [13212,] 2.102560e-05 2.060968e-05 #> [13213,] 2.313457e-05 2.102309e-05 #> [13214,] 2.744851e-05 2.102650e-05 #> [13215,] 5.079228e-05 4.315381e-05 #> [13216,] 1.147275e-04 2.199440e-04 #> [13217,] 9.929621e-05 1.209498e-04 #> [13218,] 3.291857e-05 3.014037e-05 #> [13219,] 2.787676e-05 2.141587e-05 #> [13220,] 4.872640e-05 4.519505e-05 #> [13221,] 3.980797e-05 3.897149e-05 #> [13222,] 2.400391e-04 1.579931e-04 #> [13223,] 6.242171e-05 6.665636e-05 #> [13224,] 2.650652e-05 2.469272e-05 #> [13225,] 3.983902e-05 2.394134e-05 #> [13226,] 2.751584e-05 3.083032e-05 #> [13227,] 3.961255e-05 4.357057e-05 #> [13228,] 3.305571e-05 2.940544e-05 #> [13229,] 2.418942e-05 2.317212e-05 #> [13230,] 2.606470e-05 2.691505e-05 #> [13231,] 3.545568e-05 4.661484e-05 #> [13232,] 3.241380e-04 5.529699e-05 #> [13233,] 2.625409e-05 2.184743e-05 #> [13234,] 3.548750e-05 2.552083e-05 #> [13235,] 2.890429e-05 2.672430e-05 #> [13236,] 3.080856e-05 3.030843e-05 #> [13237,] 3.376765e-05 2.375204e-05 #> [13238,] 2.868892e-05 2.473967e-05 #> [13239,] 2.421926e-05 2.088055e-05 #> [13240,] 3.006358e-05 2.409881e-05 #> [13241,] 2.692144e-05 3.204995e-05 #> [13242,] 1.260546e-03 5.885876e-05 #> [13243,] 1.434223e-04 1.235544e-04 #> [13244,] 4.077749e-05 3.370780e-05 #> [13245,] 3.426594e-04 8.264811e-05 #> [13246,] 2.799437e-04 5.646742e-05 #> [13247,] 2.112674e-05 2.117060e-05 #> [13248,] 2.965146e-05 2.493556e-05 #> [13249,] 2.804594e-05 2.595521e-05 #> [13250,] 2.309676e-05 1.873882e-05 #> [13251,] 2.181600e-05 2.179328e-05 #> [13252,] 3.789558e-05 3.170014e-05 #> [13253,] 9.647053e-05 3.208490e-05 #> [13254,] 1.490189e-04 7.008033e-05 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3.296232e-05 2.684950e-05 #> [13282,] 1.874546e-03 1.266843e-04 #> [13283,] 4.865255e-05 7.030377e-05 #> [13284,] 3.352382e-05 3.511205e-05 #> [13285,] 6.328884e-05 3.358279e-05 #> [13286,] 6.005660e-05 6.403969e-05 #> [13287,] 4.833872e-05 4.638174e-05 #> [13288,] 2.784962e-05 3.117402e-05 #> [13289,] 3.581944e-05 3.711841e-05 #> [13290,] 2.405054e-05 2.151074e-05 #> [13291,] 3.432467e-05 4.400330e-05 #> [13292,] 1.753312e-04 3.323537e-05 #> [13293,] 3.644653e-05 4.844162e-05 #> [13294,] 3.159550e-05 2.654845e-05 #> [13295,] 3.068501e-05 2.758705e-05 #> [13296,] 5.120056e-05 1.356125e-04 #> [13297,] 2.255397e-05 2.119140e-05 #> [13298,] 3.664485e-05 8.707029e-05 #> [13299,] 3.353853e-05 3.043938e-05 #> [13300,] 3.342715e-05 2.640092e-05 #> [13301,] 2.469331e-05 1.990843e-05 #> [13302,] 2.960635e-05 2.753624e-05 #> [13303,] 1.863803e-04 4.593610e-04 #> [13304,] 3.145261e-05 2.698212e-05 #> [13305,] 3.718737e-05 3.127772e-05 #> [13306,] 6.288292e-05 1.774015e-03 #> [13307,] 3.594980e-05 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3.907229e-05 2.335765e-05 #> [13361,] 2.788188e-05 2.435112e-05 #> [13362,] 5.182184e-05 2.464714e-05 #> [13363,] 2.730285e-05 2.900468e-05 #> [13364,] 3.640491e-05 3.378128e-05 #> [13365,] 2.341927e-05 2.587082e-05 #> [13366,] 2.481915e-05 2.402956e-05 #> [13367,] 3.015870e-05 2.353374e-05 #> [13368,] 3.202427e-05 2.938211e-05 #> [13369,] 3.632612e-05 4.857619e-05 #> [13370,] 3.140620e-05 2.901117e-05 #> [13371,] 2.619538e-05 2.309350e-05 #> [13372,] 3.223275e-05 2.654566e-05 #> [13373,] 2.148500e-05 2.063051e-05 #> [13374,] 4.241865e-05 4.503752e-05 #> [13375,] 3.260975e-05 6.441641e-05 #> [13376,] 3.121757e-05 2.488913e-05 #> [13377,] 2.913254e-05 3.086919e-05 #> [13378,] 3.043971e-05 2.223888e-05 #> [13379,] 1.438545e-04 9.695920e-05 #> [13380,] 5.271518e-05 6.839044e-05 #> [13381,] 2.937111e-05 3.484536e-05 #> [13382,] 2.848863e-05 2.656197e-05 #> [13383,] 4.455810e-05 3.720962e-05 #> [13384,] 3.376687e-05 3.307435e-05 #> [13385,] 3.778763e-05 2.943515e-05 #> [13386,] 3.000828e-05 2.478993e-05 #> [13387,] 7.754031e-05 2.487327e-05 #> [13388,] 3.039411e-05 2.567932e-05 #> [13389,] 1.067465e-04 3.146173e-05 #> [13390,] 2.498833e-05 2.545491e-05 #> [13391,] 1.769549e-03 5.968838e-04 #> [13392,] 1.443666e-04 8.269323e-05 #> [13393,] 2.339921e-05 2.064409e-05 #> [13394,] 4.757905e-05 1.209308e-04 #> [13395,] 2.317323e-04 3.878195e-05 #> [13396,] 2.654458e-05 2.461358e-05 #> [13397,] 2.337212e-05 2.586087e-05 #> [13398,] 2.733890e-05 2.360894e-05 #> [13399,] 3.693861e-05 3.295317e-05 #> [13400,] 2.999421e-05 2.458186e-05 #> [13401,] 2.497049e-05 2.132382e-05 #> [13402,] 3.788890e-05 3.239241e-05 #> [13403,] 4.018857e-05 3.210415e-05 #> [13404,] 2.891899e-05 2.907295e-05 #> [13405,] 3.035000e-05 2.375283e-05 #> [13406,] 4.900408e-05 4.466171e-05 #> [13407,] 5.296393e-04 4.051589e-04 #> [13408,] 2.729778e-05 2.253831e-05 #> [13409,] 2.446971e-05 2.112306e-05 #> [13410,] 2.512251e-05 2.429246e-05 #> [13411,] 3.566415e-05 2.860167e-05 #> [13412,] 2.866169e-05 2.728425e-05 #> [13413,] 2.030341e-05 2.130597e-05 #> [13414,] 6.387603e-04 3.338790e-04 #> [13415,] 2.733694e-05 2.357050e-05 #> [13416,] 2.961480e-05 2.361778e-05 #> [13417,] 1.940721e-04 5.313808e-05 #> [13418,] 3.031179e-05 4.152350e-05 #> [13419,] 3.664848e-05 3.066027e-05 #> [13420,] 6.548827e-05 5.974513e-05 #> [13421,] 2.560056e-04 2.294040e-04 #> [13422,] 2.832154e-05 2.403350e-05 #> [13423,] 2.936857e-05 2.746035e-05 #> [13424,] 2.232957e-05 2.084442e-05 #> [13425,] 1.734052e-04 4.150006e-05 #> [13426,] 3.554855e-05 2.555403e-05 #> [13427,] 2.546438e-05 2.912942e-05 #> [13428,] 2.770259e-05 2.429564e-05 #> [13429,] 1.126866e-04 7.540465e-05 #> [13430,] 9.046927e-05 1.145373e-04 #> [13431,] 4.501938e-05 4.399658e-05 #> [13432,] 2.934916e-05 2.833601e-05 #> [13433,] 2.137959e-05 2.109830e-05 #> [13434,] 2.764005e-05 2.653576e-05 #> [13435,] 2.481975e-05 2.281464e-05 #> [13436,] 2.876890e-05 2.206352e-05 #> [13437,] 3.050952e-05 2.713602e-05 #> [13438,] 1.052143e-04 1.049049e-04 #> [13439,] 1.295888e-04 3.250387e-05 #> [13440,] 1.068325e-04 2.115286e-04 #> [13441,] 1.951835e-04 1.458072e-04 #> [13442,] 2.728736e-04 1.517965e-04 #> [13443,] 3.216139e-05 3.142054e-05 #> [13444,] 1.341337e-04 1.166098e-04 #> [13445,] 1.398258e-04 9.337699e-05 #> [13446,] 3.834401e-05 5.355256e-05 #> [13447,] 3.293578e-05 6.709730e-05 #> [13448,] 6.600368e-05 7.344085e-05 #> [13449,] 6.615869e-05 2.398467e-05 #> [13450,] 3.315909e-05 2.802532e-05 #> [13451,] 4.476392e-05 3.852250e-05 #> [13452,] 4.802783e-05 3.360157e-05 #> [13453,] 2.719839e-05 2.318173e-05 #> [13454,] 9.706442e-05 4.852197e-05 #> [13455,] 4.495775e-05 3.686943e-05 #> [13456,] 3.571853e-05 4.437476e-05 #> [13457,] 1.301502e-04 2.078135e-04 #> [13458,] 2.451703e-05 2.295701e-05 #> [13459,] 2.932775e-05 2.695626e-05 #> [13460,] 2.251543e-05 1.857809e-05 #> [13461,] 3.080100e-05 2.533012e-05 #> [13462,] 3.239032e-05 4.450775e-05 #> [13463,] 4.065474e-05 3.599072e-05 #> [13464,] 4.102636e-05 2.124961e-05 #> [13465,] 5.548893e-05 7.139330e-05 #> [13466,] 2.338329e-05 3.372015e-05 #> [13467,] 2.412717e-05 2.064076e-05 #> [13468,] 3.343868e-05 2.978229e-05 #> [13469,] 3.066494e-05 2.518793e-05 #> [13470,] 3.574035e-05 2.722723e-05 #> [13471,] 6.239963e-04 6.485282e-04 #> [13472,] 2.146207e-05 2.167089e-05 #> [13473,] 8.411924e-05 6.017607e-05 #> [13474,] 2.982772e-05 2.689736e-05 #> [13475,] 2.821126e-05 2.464043e-05 #> [13476,] 2.294562e-05 2.233378e-05 #> [13477,] 7.752328e-05 2.955853e-05 #> [13478,] 3.447685e-05 4.931201e-05 #> [13479,] 3.344628e-05 2.860805e-05 #> [13480,] 3.315625e-05 2.864313e-05 #> [13481,] 8.722879e-05 6.588185e-05 #> [13482,] 2.318528e-05 2.131366e-05 #> [13483,] 2.552925e-04 4.242616e-05 #> [13484,] 7.994138e-05 6.745660e-05 #> [13485,] 4.353262e-05 2.629564e-05 #> [13486,] 2.966902e-05 2.354474e-05 #> [13487,] 3.090137e-05 2.871669e-05 #> [13488,] 2.385779e-05 2.295150e-05 #> [13489,] 2.716127e-05 2.234096e-05 #> [13490,] 2.714821e-05 2.383810e-05 #> [13491,] 4.142780e-05 3.741666e-05 #> [13492,] 3.024410e-05 3.172460e-05 #> [13493,] 2.813425e-05 2.808193e-05 #> [13494,] 2.879483e-05 2.986653e-05 #> [13495,] 2.904448e-05 2.495524e-05 #> [13496,] 2.672204e-05 2.522931e-05 #> [13497,] 1.615882e-04 2.677120e-04 #> [13498,] 4.663695e-05 1.242881e-04 #> [13499,] 2.944582e-05 2.382480e-05 #> [13500,] 2.360452e-05 2.197665e-05 #> [13501,] 3.161155e-05 3.216994e-05 #> [13502,] 2.443058e-05 2.445951e-05 #> [13503,] 2.456330e-05 3.571143e-05 #> [13504,] 2.874607e-05 2.151965e-05 #> [13505,] 4.283061e-05 3.635781e-05 #> [13506,] 2.287789e-05 2.285988e-05 #> [13507,] 2.254669e-05 2.143201e-05 #> [13508,] 3.686212e-05 3.391798e-05 #> [13509,] 2.961749e-05 2.939875e-05 #> [13510,] 4.545351e-05 3.749732e-05 #> [13511,] 6.385422e-04 2.482582e-04 #> [13512,] 6.637700e-05 1.813848e-04 #> [13513,] 2.556986e-05 2.145953e-05 #> [13514,] 2.508279e-05 2.037260e-05 #> [13515,] 2.182274e-05 2.043013e-05 #> [13516,] 2.422363e-05 2.449669e-05 #> [13517,] 3.317933e-05 2.983619e-05 #> [13518,] 3.057594e-05 2.350339e-05 #> [13519,] 3.097594e-05 2.533877e-05 #> [13520,] 2.240615e-05 2.074469e-05 #> [13521,] 2.319577e-05 2.233118e-05 #> [13522,] 3.227090e-05 2.548094e-05 #> [13523,] 2.479751e-05 2.767145e-05 #> [13524,] 3.454876e-05 3.101797e-05 #> [13525,] 2.498758e-05 2.383025e-05 #> [13526,] 3.096760e-05 3.411702e-05 #> [13527,] 2.234217e-05 2.038336e-05 #> [13528,] 3.551981e-05 4.746879e-05 #> [13529,] 2.103112e-05 2.050656e-05 #> [13530,] 2.850549e-05 5.997047e-05 #> [13531,] 2.592500e-05 2.200590e-05 #> [13532,] 5.444753e-05 4.669504e-05 #> [13533,] 3.158202e-05 2.692318e-05 #> [13534,] 2.816446e-05 2.152621e-05 #> [13535,] 4.639400e-05 2.422350e-05 #> [13536,] 2.929862e-05 2.776133e-05 #> [13537,] 3.246999e-05 2.793266e-05 #> [13538,] 7.668726e-05 1.217710e-04 #> [13539,] 2.512776e-05 2.329232e-05 #> [13540,] 2.832624e-05 2.450050e-05 #> [13541,] 3.083944e-05 2.498651e-05 #> [13542,] 6.712951e-05 3.918027e-05 #> [13543,] 3.809631e-05 3.394260e-05 #> [13544,] 3.656022e-04 1.639572e-04 #> [13545,] 3.219345e-05 2.895889e-05 #> [13546,] 3.268521e-05 2.522422e-05 #> [13547,] 2.498695e-05 2.598542e-05 #> [13548,] 2.690104e-05 2.216627e-05 #> [13549,] 2.419749e-05 2.061430e-05 #> [13550,] 1.706237e-04 9.957817e-05 #> [13551,] 3.181806e-05 2.453990e-05 #> [13552,] 1.481266e-04 1.728455e-03 #> [13553,] 4.167096e-05 4.552729e-05 #> [13554,] 5.378137e-04 1.476438e-04 #> [13555,] 3.163148e-04 4.533807e-04 #> [13556,] 4.500698e-04 4.415607e-04 #> [13557,] 4.866348e-05 2.887582e-05 #> [13558,] 3.681672e-05 3.864888e-05 #> [13559,] 2.175903e-05 2.071975e-05 #> [13560,] 2.517245e-05 2.153763e-05 #> [13561,] 2.445044e-05 2.038862e-05 #> [13562,] 2.646199e-05 2.311266e-05 #> [13563,] 2.997175e-05 2.573105e-05 #> [13564,] 2.776726e-05 2.217304e-05 #> [13565,] 2.141400e-05 2.059844e-05 #> [13566,] 7.654250e-05 5.598354e-05 #> [13567,] 2.382569e-04 1.005721e-04 #> [13568,] 4.379379e-05 1.272853e-04 #> [13569,] 7.243882e-05 7.505477e-05 #> [13570,] 3.431345e-05 2.981165e-05 #> [13571,] 7.021586e-05 1.702926e-04 #> [13572,] 2.772963e-05 2.371863e-05 #> [13573,] 3.157364e-05 2.920914e-05 #> [13574,] 1.209338e-04 5.414345e-05 #> [13575,] 3.912857e-04 3.689662e-04 #> [13576,] 1.019591e-04 2.251489e-04 #> [13577,] 2.940514e-05 2.228575e-05 #> [13578,] 2.885233e-05 2.698309e-05 #> [13579,] 1.790796e-03 1.487262e-04 #> [13580,] 3.153025e-05 3.817958e-05 #> [13581,] 4.546286e-05 2.802563e-05 #> [13582,] 2.167437e-05 2.020188e-05 #> [13583,] 7.400597e-05 2.407982e-05 #> [13584,] 6.109242e-05 4.062682e-05 #> [13585,] 6.268273e-05 3.716250e-05 #> [13586,] 2.650972e-05 2.208677e-05 #> [13587,] 2.629442e-05 2.179259e-05 #> [13588,] 2.291330e-05 2.256147e-05 #> [13589,] 2.220745e-05 2.511289e-05 #> [13590,] 2.778700e-05 2.330387e-05 #> [13591,] 3.150955e-05 2.475903e-05 #> [13592,] 1.942504e-04 5.078818e-05 #> [13593,] 5.029933e-05 3.947675e-05 #> [13594,] 2.861577e-05 2.347205e-05 #> [13595,] 2.945421e-05 3.045764e-05 #> [13596,] 1.593403e-04 8.815204e-05 #> [13597,] 2.625264e-05 2.277655e-05 #> [13598,] 2.795076e-05 2.348168e-05 #> [13599,] 2.970951e-05 2.509658e-05 #> [13600,] 5.792470e-04 1.131320e-04 #> [13601,] 4.209173e-05 6.259783e-05 #> [13602,] 4.999214e-05 2.774225e-05 #> [13603,] 3.100861e-05 2.659387e-05 #> [13604,] 5.130992e-05 4.420945e-05 #> [13605,] 3.182640e-05 2.382552e-05 #> [13606,] 3.117834e-05 2.794993e-05 #> [13607,] 2.708704e-05 2.244014e-05 #> [13608,] 3.064852e-04 2.923959e-04 #> [13609,] 4.066742e-05 3.109650e-05 #> [13610,] 5.454903e-05 2.894855e-05 #> [13611,] 4.197190e-05 2.922731e-05 #> [13612,] 2.229466e-05 2.025246e-05 #> [13613,] 2.848591e-05 2.290634e-05 #> [13614,] 3.006816e-05 2.173237e-05 #> [13615,] 3.928195e-05 2.862281e-05 #> [13616,] 2.374362e-05 2.131100e-05 #> [13617,] 3.917240e-05 5.310464e-05 #> [13618,] 2.467950e-05 2.247996e-05 #> [13619,] 2.816793e-05 2.378199e-05 #> [13620,] 7.170179e-05 3.726717e-05 #> [13621,] 3.048150e-05 2.594406e-05 #> [13622,] 5.903019e-05 3.342178e-05 #> [13623,] 2.990543e-05 2.813621e-05 #> [13624,] 3.420049e-05 4.481380e-05 #> [13625,] 3.578035e-05 2.969674e-05 #> [13626,] 6.313824e-05 3.205785e-05 #> [13627,] 2.246831e-05 2.074198e-05 #> [13628,] 1.431355e-04 1.226544e-04 #> [13629,] 5.162420e-05 5.747874e-05 #> [13630,] 7.177379e-05 2.700902e-05 #> [13631,] 2.302492e-05 1.986458e-05 #> [13632,] 4.813607e-05 3.940515e-05 #> [13633,] 3.082650e-05 2.577986e-05 #> [13634,] 1.794251e-04 1.222462e-04 #> [13635,] 2.329800e-04 2.364134e-04 #> [13636,] 5.172686e-05 3.942593e-05 #> [13637,] 2.828995e-05 2.301038e-05 #> [13638,] 2.741705e-05 2.424501e-05 #> [13639,] 8.152419e-04 7.966417e-05 #> [13640,] 3.111711e-05 2.244981e-05 #> [13641,] 4.104182e-05 2.229226e-05 #> [13642,] 2.222417e-05 2.165115e-05 #> [13643,] 2.451745e-05 2.191154e-05 #> [13644,] 2.920877e-05 2.566548e-05 #> [13645,] 3.303659e-05 4.486292e-05 #> [13646,] 2.921960e-05 2.345404e-05 #> [13647,] 6.887551e-05 3.961328e-05 #> [13648,] 2.656551e-05 2.198553e-05 #> [13649,] 1.580474e-04 3.449515e-04 #> [13650,] 3.206586e-05 2.363576e-05 #> [13651,] 7.486991e-05 4.127083e-05 #> [13652,] 2.937221e-05 2.549475e-05 #> [13653,] 3.348115e-05 3.510111e-05 #> [13654,] 2.721958e-05 2.423467e-05 #> [13655,] 1.164174e-04 3.470601e-05 #> [13656,] 9.004091e-05 8.318975e-05 #> [13657,] 6.809575e-05 8.388534e-05 #> [13658,] 1.024944e-04 1.268240e-04 #> [13659,] 9.473012e-04 3.521031e-04 #> [13660,] 2.770796e-05 2.467066e-05 #> [13661,] 3.125649e-05 3.040760e-05 #> [13662,] 3.266266e-05 3.321718e-05 #> [13663,] 1.054648e-04 2.984984e-05 #> [13664,] 1.104331e-04 2.001301e-04 #> [13665,] 2.830987e-05 2.386225e-05 #> [13666,] 9.773374e-05 3.066791e-05 #> [13667,] 4.862626e-05 6.594741e-05 #> [13668,] 2.123747e-05 2.158401e-05 #> [13669,] 2.273954e-04 2.122113e-04 #> [13670,] 3.006781e-05 2.466838e-05 #> [13671,] 2.288102e-05 1.844462e-05 #> [13672,] 2.890316e-05 2.430282e-05 #> [13673,] 2.609030e-05 2.496768e-05 #> [13674,] 4.525839e-05 3.232912e-05 #> [13675,] 2.319028e-05 2.094491e-05 #> [13676,] 2.521799e-05 2.598267e-05 #> [13677,] 2.863516e-05 2.422339e-05 #> [13678,] 2.942838e-05 2.625232e-05 #> [13679,] 2.697301e-05 2.349714e-05 #> [13680,] 2.902307e-05 2.456851e-05 #> [13681,] 3.062279e-05 2.328012e-05 #> [13682,] 1.247680e-04 2.284511e-04 #> [13683,] 8.264087e-05 1.148118e-04 #> [13684,] 8.587741e-05 8.059454e-05 #> [13685,] 2.874419e-05 2.440625e-05 #> [13686,] 1.138029e-04 2.745137e-04 #> [13687,] 6.785182e-05 9.167392e-05 #> [13688,] 3.219506e-05 2.687703e-05 #> [13689,] 2.212960e-05 1.976588e-05 #> [13690,] 1.464802e-03 8.010796e-04 #> [13691,] 2.629970e-05 2.136620e-05 #> [13692,] 1.301251e-04 5.528710e-05 #> [13693,] 3.154979e-05 3.139274e-05 #> [13694,] 4.106803e-05 4.285432e-05 #> [13695,] 2.955364e-05 3.387187e-05 #> [13696,] 4.110711e-05 2.836290e-05 #> [13697,] 2.866478e-05 2.520691e-05 #> [13698,] 1.520568e-03 7.397651e-04 #> [13699,] 3.098233e-05 2.418195e-05 #> [13700,] 2.958930e-05 2.461707e-05 #> [13701,] 2.479822e-04 1.158938e-03 #> [13702,] 7.776455e-05 2.081462e-05 #> [13703,] 3.532639e-04 8.123934e-05 #> [13704,] 4.353799e-05 3.114366e-05 #> [13705,] 4.326084e-05 2.385874e-05 #> [13706,] 3.113346e-05 2.329766e-05 #> [13707,] 3.051135e-05 2.369427e-05 #> [13708,] 9.989698e-05 1.386162e-04 #> [13709,] 3.050257e-05 2.881508e-05 #> [13710,] 2.650574e-05 2.112446e-05 #> [13711,] 4.399150e-05 6.895093e-05 #> [13712,] 2.177579e-05 2.106915e-05 #> [13713,] 5.455113e-05 3.420806e-05 #> [13714,] 3.816967e-05 4.306789e-05 #> [13715,] 3.570084e-05 3.539598e-05 #> [13716,] 2.749215e-05 2.392268e-05 #> [13717,] 4.071983e-05 4.419772e-05 #> [13718,] 3.001163e-05 2.430061e-05 #> [13719,] 2.697747e-05 2.798851e-05 #> [13720,] 2.231735e-05 2.115865e-05 #> [13721,] 2.915569e-05 4.827598e-05 #> [13722,] 2.418104e-05 2.954973e-05 #> [13723,] 2.529239e-05 2.303134e-05 #> [13724,] 7.187252e-05 6.724586e-05 #> [13725,] 2.706871e-05 2.244389e-05 #> [13726,] 2.792854e-05 2.498390e-05 #> [13727,] 2.494763e-05 1.937430e-05 #> [13728,] 8.926949e-05 6.317412e-05 #> [13729,] 3.427020e-05 1.389432e-04 #> [13730,] 2.852334e-05 2.847702e-05 #> [13731,] 7.769635e-05 2.358943e-04 #> [13732,] 2.577347e-04 1.633751e-04 #> [13733,] 3.478809e-05 1.058241e-04 #> [13734,] 2.515932e-05 2.317938e-05 #> [13735,] 3.359847e-05 3.698309e-05 #> [13736,] 2.486981e-05 2.465909e-05 #> [13737,] 2.683024e-05 2.473133e-05 #> [13738,] 3.143446e-05 3.526909e-05 #> [13739,] 3.677289e-05 4.116809e-05 #> [13740,] 2.348694e-05 2.467216e-05 #> [13741,] 2.669149e-05 2.369784e-05 #> [13742,] 7.603613e-05 2.378464e-04 #> [13743,] 2.230572e-05 2.124244e-05 #> [13744,] 1.928164e-04 1.588198e-04 #> [13745,] 3.316212e-05 6.306286e-05 #> [13746,] 2.727573e-05 2.672803e-05 #> [13747,] 1.116693e-03 9.458352e-04 #> [13748,] 4.430612e-05 2.307060e-05 #> [13749,] 5.450635e-05 3.725269e-05 #> [13750,] 3.268764e-05 2.182463e-05 #> [13751,] 2.898534e-05 2.377560e-05 #> [13752,] 2.632843e-04 9.522903e-05 #> [13753,] 3.462320e-05 2.472206e-05 #> [13754,] 6.650131e-05 1.481506e-04 #> [13755,] 9.776492e-05 3.156760e-04 #> [13756,] 3.039115e-05 2.502270e-05 #> [13757,] 2.616731e-05 2.403850e-05 #> [13758,] 3.022435e-05 3.426200e-05 #> [13759,] 2.958726e-05 3.104702e-05 #> [13760,] 2.640043e-05 2.678656e-05 #> [13761,] 2.789982e-05 2.516099e-05 #> [13762,] 2.144424e-05 2.025414e-05 #> [13763,] 3.475218e-05 2.704387e-05 #> [13764,] 2.138437e-05 2.209856e-05 #> [13765,] 2.966393e-05 2.723338e-05 #> [13766,] 2.307656e-04 4.169060e-05 #> [13767,] 2.467402e-05 2.304103e-05 #> [13768,] 2.443375e-05 2.583823e-05 #> [13769,] 3.383382e-05 2.304663e-05 #> [13770,] 3.371635e-05 2.642360e-05 #> [13771,] 3.861028e-05 3.571441e-05 #> [13772,] 2.729469e-05 2.482088e-05 #> [13773,] 2.485732e-05 2.174493e-05 #> [13774,] 3.603391e-05 3.308747e-05 #> [13775,] 3.058430e-05 3.840379e-05 #> [13776,] 3.463693e-05 3.974563e-05 #> [13777,] 3.333071e-05 2.676535e-05 #> [13778,] 2.994367e-05 2.680579e-05 #> [13779,] 3.616704e-05 2.573039e-05 #> [13780,] 2.847552e-05 3.241251e-05 #> [13781,] 3.841098e-05 3.369917e-05 #> [13782,] 4.054539e-05 1.071777e-04 #> [13783,] 2.810723e-05 2.499951e-05 #> [13784,] 2.605811e-05 2.421630e-05 #> [13785,] 2.479622e-05 2.162652e-05 #> [13786,] 2.350854e-05 2.253326e-05 #> [13787,] 2.687594e-05 2.283770e-05 #> [13788,] 1.048103e-04 4.220173e-05 #> [13789,] 5.850153e-05 5.889490e-05 #> [13790,] 2.403123e-05 2.291169e-05 #> [13791,] 2.728286e-05 2.297279e-05 #> [13792,] 2.858340e-05 2.217344e-05 #> [13793,] 5.353655e-05 2.379750e-04 #> [13794,] 2.736607e-05 2.224211e-05 #> [13795,] 3.247432e-05 1.571683e-04 #> [13796,] 1.408450e-04 6.017634e-05 #> [13797,] 4.353973e-04 2.705977e-04 #> [13798,] 2.418926e-05 2.143941e-05 #> [13799,] 2.984926e-05 2.477361e-05 #> [13800,] 3.411862e-05 2.601262e-05 #> [13801,] 1.181817e-04 1.276330e-04 #> [13802,] 1.156271e-04 3.824129e-05 #> [13803,] 3.748475e-05 6.054503e-05 #> [13804,] 1.945365e-04 1.315545e-04 #> [13805,] 2.209805e-05 2.128368e-05 #> [13806,] 6.800901e-05 2.458853e-05 #> [13807,] 2.899861e-05 2.884001e-05 #> [13808,] 2.696943e-05 2.153603e-05 #> [13809,] 8.277277e-05 4.958163e-05 #> [13810,] 2.824792e-05 2.398710e-05 #> [13811,] 2.740072e-05 2.737871e-05 #> [13812,] 2.610791e-05 2.048467e-05 #> [13813,] 9.241031e-04 2.214849e-04 #> [13814,] 2.131020e-05 1.900874e-05 #> [13815,] 9.591905e-05 6.393343e-04 #> [13816,] 3.650699e-05 4.556496e-05 #> [13817,] 2.364485e-05 2.428296e-05 #> [13818,] 3.549867e-05 3.120662e-05 #> [13819,] 2.411187e-05 2.310748e-05 #> [13820,] 1.409446e-04 9.722010e-05 #> [13821,] 3.123400e-05 2.657709e-05 #> [13822,] 9.629975e-05 1.102644e-04 #> [13823,] 3.398541e-05 3.571711e-05 #> [13824,] 4.933071e-05 5.208314e-05 #> [13825,] 5.548622e-05 4.128696e-05 #> [13826,] 3.127482e-05 2.479162e-05 #> [13827,] 2.208246e-05 1.961644e-05 #> [13828,] 1.061671e-04 6.872753e-05 #> [13829,] 2.553617e-05 2.424947e-05 #> [13830,] 5.063160e-04 3.073316e-04 #> [13831,] 2.351211e-05 2.290185e-05 #> [13832,] 8.671360e-05 6.959055e-05 #> [13833,] 2.436236e-05 2.210287e-05 #> [13834,] 1.617025e-04 1.437383e-03 #> [13835,] 3.659690e-05 3.517936e-05 #> [13836,] 3.059349e-05 2.714376e-05 #> [13837,] 3.183619e-05 3.174776e-05 #> [13838,] 3.061591e-05 2.932294e-05 #> [13839,] 4.437956e-05 4.152926e-05 #> [13840,] 3.555172e-05 3.498239e-05 #> [13841,] 3.102528e-05 3.152585e-05 #> [13842,] 2.405798e-05 2.420267e-05 #> [13843,] 2.927988e-05 2.511068e-05 #> [13844,] 9.997905e-05 2.441096e-04 #> [13845,] 3.574756e-05 4.280292e-05 #> [13846,] 2.240121e-05 2.059310e-05 #> [13847,] 3.044401e-05 2.536886e-05 #> [13848,] 3.352436e-05 2.840672e-05 #> [13849,] 3.041485e-05 2.605693e-05 #> [13850,] 3.123798e-05 2.766468e-05 #> [13851,] 7.280851e-05 6.693144e-05 #> [13852,] 5.186559e-05 7.103488e-05 #> [13853,] 3.019577e-05 2.460339e-05 #> [13854,] 3.017777e-05 3.241744e-05 #> [13855,] 5.934694e-05 4.432155e-05 #> [13856,] 2.796841e-05 2.273576e-05 #> [13857,] 2.465037e-05 2.189103e-05 #> [13858,] 3.502540e-05 2.458745e-05 #> [13859,] 2.384151e-04 7.440682e-05 #> [13860,] 3.301381e-05 2.798945e-05 #> [13861,] 2.510780e-05 2.062582e-05 #> [13862,] 3.312568e-05 3.234508e-05 #> [13863,] 2.303741e-05 2.170703e-05 #> [13864,] 3.068310e-05 4.305960e-05 #> [13865,] 2.347512e-05 1.904330e-05 #> [13866,] 4.980855e-05 2.392552e-05 #> [13867,] 3.223337e-05 3.429225e-05 #> [13868,] 3.191405e-05 3.051062e-05 #> [13869,] 5.560788e-05 4.658168e-05 #> [13870,] 3.320768e-05 2.757106e-05 #> [13871,] 2.824577e-05 2.151657e-05 #> [13872,] 1.056479e-04 7.780150e-05 #> [13873,] 2.312723e-05 2.207533e-05 #> [13874,] 2.952448e-05 2.409145e-05 #> [13875,] 2.661527e-05 3.639240e-05 #> [13876,] 2.318950e-05 2.310550e-05 #> [13877,] 2.677583e-05 2.294637e-05 #> [13878,] 2.502695e-05 2.133708e-05 #> [13879,] 1.083651e-04 1.781788e-04 #> [13880,] 8.574409e-05 3.393685e-05 #> [13881,] 3.161766e-05 2.933289e-05 #> [13882,] 2.669109e-05 2.341471e-05 #> [13883,] 2.423580e-05 2.047676e-05 #> [13884,] 1.303186e-04 2.396489e-05 #> [13885,] 2.434011e-05 1.899791e-05 #> [13886,] 2.224207e-05 2.304196e-05 #> [13887,] 5.699175e-05 5.506172e-05 #> [13888,] 6.509593e-05 7.912819e-05 #> [13889,] 9.527898e-05 2.691188e-04 #> [13890,] 3.311099e-05 2.298592e-05 #> [13891,] 2.281272e-05 2.103787e-05 #> [13892,] 4.219438e-05 3.815971e-05 #> [13893,] 2.496834e-05 2.146018e-05 #> [13894,] 2.197091e-05 2.210006e-05 #> [13895,] 2.610654e-05 2.229832e-05 #> [13896,] 7.445629e-05 3.915547e-05 #> [13897,] 2.628013e-05 2.104317e-05 #> [13898,] 2.548524e-04 3.927674e-05 #> [13899,] 2.830589e-05 2.847708e-05 #> [13900,] 3.542950e-05 3.360987e-05 #> [13901,] 3.422304e-04 7.929969e-05 #> [13902,] 2.306522e-05 2.121619e-05 #> [13903,] 2.973123e-05 2.743965e-05 #> [13904,] 4.384750e-05 4.648249e-05 #> [13905,] 2.814187e-05 2.391058e-05 #> [13906,] 2.581224e-05 2.160519e-05 #> [13907,] 3.369079e-05 2.370684e-05 #> [13908,] 3.790026e-05 2.873605e-05 #> [13909,] 3.834609e-05 4.076206e-05 #> [13910,] 3.232269e-05 9.349244e-05 #> [13911,] 5.227089e-05 2.806752e-05 #> [13912,] 3.481686e-05 4.460304e-05 #> [13913,] 2.388587e-05 2.067278e-05 #> [13914,] 5.853194e-05 2.308979e-05 #> [13915,] 3.606947e-05 2.500745e-05 #> [13916,] 1.364617e-04 6.532942e-04 #> [13917,] 3.430867e-05 3.087957e-05 #> [13918,] 7.546839e-05 2.955316e-05 #> [13919,] 2.848586e-05 2.374612e-05 #> [13920,] 3.081992e-05 2.575433e-05 #> [13921,] 1.247530e-04 7.291564e-05 #> [13922,] 4.194257e-05 4.451799e-05 #> [13923,] 2.688887e-04 5.375499e-04 #> [13924,] 7.738863e-05 9.244245e-05 #> [13925,] 3.589045e-05 2.704606e-05 #> [13926,] 3.571608e-05 2.730936e-05 #> [13927,] 2.367690e-05 1.997220e-05 #> [13928,] 2.025471e-05 1.914836e-05 #> [13929,] 2.776988e-05 2.613217e-05 #> [13930,] 3.099186e-05 2.803230e-05 #> [13931,] 2.259697e-05 1.939507e-05 #> [13932,] 3.773702e-05 2.124679e-03 #> [13933,] 6.104296e-05 4.952369e-04 #> [13934,] 2.822072e-05 2.528144e-05 #> [13935,] 2.527275e-05 3.093178e-05 #> [13936,] 4.991398e-05 4.594190e-05 #> [13937,] 1.512484e-04 1.493592e-04 #> [13938,] 3.343333e-05 3.016418e-05 #> [13939,] 2.272488e-05 2.151409e-05 #> [13940,] 2.934586e-05 2.789847e-05 #> [13941,] 1.446917e-04 9.778446e-05 #> [13942,] 5.282080e-05 8.177787e-05 #> [13943,] 5.109477e-05 4.895492e-05 #> [13944,] 2.392538e-05 2.209255e-05 #> [13945,] 3.703490e-05 2.424077e-05 #> [13946,] 6.850048e-05 6.874812e-05 #> [13947,] 5.935393e-05 7.366386e-05 #> [13948,] 3.068792e-05 4.158788e-05 #> [13949,] 4.242612e-05 2.930157e-05 #> [13950,] 7.201135e-05 8.607957e-05 #> [13951,] 2.640445e-05 2.470609e-05 #> [13952,] 3.007355e-05 2.537914e-05 #> [13953,] 3.153989e-05 3.157544e-05 #> [13954,] 2.897753e-05 2.701194e-05 #> [13955,] 4.637504e-05 3.444755e-05 #> [13956,] 1.030250e-04 1.971351e-04 #> [13957,] 2.474992e-05 1.986491e-05 #> [13958,] 3.169373e-05 2.926006e-05 #> [13959,] 4.546586e-05 2.531025e-05 #> [13960,] 2.961767e-05 2.539271e-05 #> [13961,] 3.551190e-05 2.295360e-05 #> [13962,] 2.444031e-05 2.151748e-05 #> [13963,] 4.359171e-05 2.447973e-05 #> [13964,] 2.905130e-05 2.284131e-05 #> [13965,] 3.427553e-05 2.911913e-05 #> [13966,] 8.043471e-05 2.643556e-05 #> [13967,] 2.407260e-05 2.146500e-05 #> [13968,] 4.951916e-05 6.028851e-05 #> [13969,] 3.402621e-05 3.321574e-05 #> [13970,] 3.004382e-05 2.568680e-05 #> [13971,] 3.227476e-05 2.967233e-05 #> [13972,] 2.473265e-05 2.233009e-05 #> [13973,] 2.253385e-05 2.006853e-05 #> [13974,] 5.976665e-05 7.758813e-05 #> [13975,] 3.118505e-05 2.622679e-05 #> [13976,] 1.483260e-04 3.351308e-05 #> [13977,] 3.209833e-05 2.767212e-05 #> [13978,] 3.681459e-05 3.377900e-05 #> [13979,] 2.978675e-05 2.979303e-05 #> [13980,] 1.086746e-04 1.018686e-04 #> [13981,] 2.313063e-04 6.266747e-04 #> [13982,] 2.029800e-04 5.905196e-05 #> [13983,] 2.844713e-05 2.583975e-05 #> [13984,] 2.880882e-05 2.453046e-05 #> [13985,] 3.066495e-04 1.485969e-04 #> [13986,] 3.124143e-05 2.997085e-05 #> [13987,] 6.050460e-05 2.701256e-05 #> [13988,] 2.601968e-05 5.223252e-05 #> [13989,] 3.450309e-05 3.680783e-05 #> [13990,] 2.909339e-05 2.487354e-05 #> [13991,] 7.970870e-05 1.471220e-04 #> [13992,] 4.928945e-05 2.514816e-05 #> [13993,] 2.213356e-04 3.187157e-04 #> [13994,] 2.857376e-05 3.572312e-05 #> [13995,] 2.802804e-05 2.505528e-05 #> [13996,] 2.546274e-05 2.183530e-05 #> [13997,] 2.950397e-05 4.512047e-05 #> [13998,] 3.078273e-05 3.455527e-05 #> [13999,] 2.709945e-05 3.215907e-05 #> [14000,] 4.349233e-05 3.629279e-05 #> [14001,] 4.473531e-05 3.344906e-05 #> [14002,] 4.183493e-05 2.727099e-05 #> [14003,] 3.646252e-05 2.656360e-05 #> [14004,] 5.465309e-05 7.687256e-05 #> [14005,] 2.762727e-05 2.457669e-05 #> [14006,] 4.944366e-05 3.319102e-05 #> [14007,] 2.162316e-05 1.992959e-05 #> [14008,] 1.683266e-04 3.970464e-05 #> [14009,] 2.883849e-05 2.476355e-05 #> [14010,] 2.933767e-05 2.597002e-05 #> [14011,] 5.660795e-05 3.104866e-05 #> [14012,] 2.896521e-05 2.308095e-05 #> [14013,] 2.202789e-05 2.576609e-05 #> [14014,] 3.895348e-05 2.686223e-05 #> [14015,] 3.156481e-05 2.655626e-05 #> [14016,] 2.737740e-05 2.213355e-05 #> [14017,] 2.846934e-05 2.631931e-05 #> [14018,] 5.075891e-05 3.769103e-05 #> [14019,] 2.230068e-05 1.996771e-05 #> [14020,] 8.535484e-05 7.221650e-05 #> [14021,] 2.248127e-05 2.475356e-05 #> [14022,] 3.370212e-05 4.718598e-05 #> [14023,] 5.558033e-05 6.996630e-05 #> [14024,] 3.130394e-05 2.621320e-05 #> [14025,] 3.006551e-05 2.519241e-05 #> [14026,] 2.224414e-04 4.248925e-04 #> [14027,] 1.101855e-03 2.058154e-03 #> [14028,] 4.009765e-05 2.999262e-05 #> [14029,] 2.853830e-05 2.693732e-05 #> [14030,] 2.880296e-05 2.389705e-05 #> [14031,] 2.136199e-04 2.615383e-04 #> [14032,] 4.719684e-05 4.837310e-05 #> [14033,] 4.106070e-05 1.434661e-04 #> [14034,] 3.106777e-05 2.628051e-05 #> [14035,] 1.561261e-04 5.987774e-05 #> [14036,] 2.201760e-05 2.080337e-05 #> [14037,] 2.971859e-05 2.284135e-05 #> [14038,] 2.851079e-05 2.726927e-05 #> [14039,] 2.795012e-05 2.272191e-05 #> [14040,] 9.820921e-05 2.411580e-04 #> [14041,] 2.419257e-05 1.891024e-05 #> [14042,] 2.950608e-05 2.575151e-05 #> [14043,] 4.494804e-05 6.168791e-05 #> [14044,] 3.628904e-05 2.744362e-05 #> [14045,] 1.145742e-04 6.947848e-05 #> [14046,] 3.012525e-05 2.426231e-05 #> [14047,] 7.156314e-05 5.495453e-05 #> [14048,] 2.913637e-05 2.701545e-05 #> [14049,] 2.769065e-05 2.269117e-05 #> [14050,] 2.781315e-05 7.009796e-05 #> [14051,] 2.130409e-04 5.337217e-05 #> [14052,] 3.121803e-05 2.247605e-05 #> [14053,] 4.834149e-04 1.045241e-04 #> [14054,] 9.451622e-05 2.610548e-05 #> [14055,] 2.326042e-05 1.954290e-05 #> [14056,] 3.641311e-05 4.292448e-05 #> [14057,] 2.203052e-05 2.080878e-05 #> [14058,] 1.066358e-04 1.168973e-04 #> [14059,] 3.159433e-05 2.251259e-05 #> [14060,] 3.964702e-05 3.034765e-05 #> [14061,] 2.094203e-04 1.846921e-04 #> [14062,] 7.075250e-05 8.858392e-04 #> [14063,] 2.277174e-05 2.117510e-05 #> [14064,] 2.443999e-05 2.225293e-05 #> [14065,] 2.832799e-05 2.373872e-05 #> [14066,] 3.416300e-05 5.314475e-05 #> [14067,] 1.600111e-04 1.304692e-04 #> [14068,] 3.100377e-05 2.662967e-05 #> [14069,] 3.886327e-05 3.530401e-05 #> [14070,] 4.177144e-05 3.006639e-05 #> [14071,] 4.768977e-05 2.485533e-05 #> [14072,] 2.615533e-05 5.691663e-05 #> [14073,] 2.610270e-05 2.129685e-05 #> [14074,] 3.597742e-04 2.154161e-04 #> [14075,] 2.762690e-05 2.367663e-05 #> [14076,] 2.962972e-05 2.197885e-05 #> [14077,] 8.297387e-05 3.163847e-05 #> [14078,] 2.519478e-05 2.655447e-05 #> [14079,] 2.501523e-05 2.589281e-05 #> [14080,] 2.522602e-05 2.158194e-05 #> [14081,] 2.593147e-05 2.240197e-05 #> [14082,] 3.995940e-05 2.663034e-05 #> [14083,] 1.063181e-03 3.273990e-04 #> [14084,] 2.545459e-05 2.504265e-05 #> [14085,] 4.709507e-05 2.910169e-05 #> [14086,] 2.630914e-05 2.471973e-05 #> [14087,] 1.153555e-04 2.938651e-05 #> [14088,] 4.535633e-05 3.576539e-05 #> [14089,] 1.070262e-04 1.953450e-03 #> [14090,] 3.576356e-05 6.116590e-05 #> [14091,] 3.140091e-04 1.756870e-04 #> [14092,] 2.632568e-05 2.480341e-05 #> [14093,] 4.493798e-05 6.559890e-05 #> [14094,] 7.420935e-05 6.420967e-05 #> [14095,] 2.922835e-05 2.608962e-05 #> [14096,] 3.043616e-05 2.428546e-05 #> [14097,] 2.681440e-05 2.904161e-05 #> [14098,] 3.473033e-05 3.016480e-05 #> [14099,] 2.837538e-05 2.398933e-05 #> [14100,] 2.283685e-05 2.157285e-05 #> [14101,] 2.725465e-04 1.402180e-04 #> [14102,] 2.859458e-05 2.222169e-05 #> [14103,] 3.672714e-05 3.270269e-05 #> [14104,] 2.422970e-05 2.146316e-05 #> [14105,] 2.986088e-05 2.561068e-05 #> [14106,] 4.375361e-05 4.049097e-05 #> [14107,] 3.026584e-05 2.554877e-05 #> [14108,] 8.303244e-05 8.324916e-05 #> [14109,] 3.480305e-05 2.985028e-05 #> [14110,] 3.373694e-05 2.536597e-05 #> [14111,] 3.674387e-05 2.814530e-04 #> [14112,] 4.099300e-05 4.819208e-05 #> [14113,] 2.829385e-05 2.621727e-05 #> [14114,] 2.521559e-05 2.271069e-05 #> [14115,] 2.786987e-05 3.061263e-05 #> [14116,] 2.815841e-05 2.653182e-05 #> [14117,] 3.503925e-05 2.609322e-05 #> [14118,] 3.622398e-04 1.055792e-04 #> [14119,] 1.640892e-04 4.268367e-05 #> [14120,] 3.116442e-05 2.585159e-05 #> [14121,] 8.172182e-04 9.044916e-04 #> [14122,] 2.783729e-04 8.201882e-05 #> [14123,] 3.201482e-05 2.663158e-05 #> [14124,] 3.805609e-05 3.169779e-05 #> [14125,] 3.169741e-05 7.267836e-05 #> [14126,] 2.848552e-05 2.655793e-05 #> [14127,] 2.555025e-05 2.801101e-05 #> [14128,] 1.080169e-04 1.018243e-04 #> [14129,] 3.575265e-05 3.337300e-05 #> [14130,] 2.428438e-05 2.687015e-05 #> [14131,] 2.876639e-05 2.678347e-05 #> [14132,] 3.118786e-05 2.666907e-05 #> [14133,] 5.447547e-05 3.597938e-04 #> [14134,] 2.193907e-05 2.465722e-05 #> [14135,] 2.965376e-05 2.620810e-05 #> [14136,] 5.168362e-05 1.226340e-04 #> [14137,] 3.238392e-05 3.657423e-05 #> [14138,] 2.365296e-05 2.253585e-05 #> [14139,] 2.889265e-05 2.266843e-05 #> [14140,] 4.196400e-05 1.021857e-04 #> [14141,] 6.105403e-05 3.393683e-05 #> [14142,] 3.365958e-05 2.922856e-05 #> [14143,] 3.336684e-05 3.104979e-05 #> [14144,] 1.417945e-04 8.635494e-05 #> [14145,] 2.963806e-05 2.755028e-05 #> [14146,] 2.461019e-05 2.349047e-05 #> [14147,] 8.418716e-05 4.808390e-05 #> [14148,] 3.159713e-05 4.576999e-05 #> [14149,] 2.744141e-05 2.176628e-05 #> [14150,] 5.410475e-05 5.617012e-05 #> [14151,] 3.441358e-05 3.830362e-05 #> [14152,] 3.001127e-05 2.531183e-05 #> [14153,] 2.839529e-05 2.260871e-05 #> [14154,] 2.258987e-05 2.226950e-05 #> [14155,] 2.660467e-05 2.830558e-05 #> [14156,] 2.282132e-05 2.363785e-05 #> [14157,] 3.372087e-05 3.897032e-05 #> [14158,] 4.251982e-05 3.482506e-05 #> [14159,] 5.663884e-04 3.003993e-04 #> [14160,] 3.256942e-05 3.608672e-05 #> [14161,] 8.611541e-05 8.539343e-05 #> [14162,] 1.890662e-04 2.876504e-04 #> [14163,] 6.764641e-05 1.998717e-04 #> [14164,] 2.414685e-05 2.190412e-05 #> [14165,] 2.031917e-05 2.035943e-05 #> [14166,] 2.538655e-04 9.555974e-05 #> [14167,] 2.761180e-05 2.312955e-05 #> [14168,] 2.838258e-05 2.732178e-05 #> [14169,] 2.705267e-05 2.640437e-05 #> [14170,] 3.046735e-05 2.416105e-05 #> [14171,] 4.205422e-05 1.458819e-04 #> [14172,] 3.176597e-05 2.424451e-05 #> [14173,] 2.986357e-05 2.303499e-05 #> [14174,] 2.483291e-05 2.415208e-05 #> [14175,] 3.285466e-05 3.105206e-05 #> [14176,] 6.555886e-05 3.910052e-05 #> [14177,] 2.586169e-05 2.344755e-05 #> [14178,] 3.712814e-05 3.721937e-05 #> [14179,] 2.993072e-05 2.428715e-05 #> [14180,] 1.899041e-04 9.118610e-05 #> [14181,] 6.625371e-05 3.798400e-05 #> [14182,] 2.897189e-05 2.626201e-05 #> [14183,] 2.769676e-05 2.316268e-05 #> [14184,] 4.161473e-05 8.449487e-05 #> [14185,] 3.367084e-05 4.092439e-05 #> [14186,] 2.229278e-05 2.063628e-05 #> [14187,] 6.111077e-05 9.337929e-05 #> [14188,] 2.647124e-05 3.918325e-05 #> [14189,] 2.878249e-05 2.469707e-05 #> [14190,] 2.100140e-05 2.077482e-05 #> [14191,] 3.518346e-05 3.319666e-05 #> [14192,] 6.110751e-05 5.208346e-05 #> [14193,] 3.144609e-05 2.648336e-05 #> [14194,] 2.497530e-05 2.289771e-05 #> [14195,] 2.385102e-05 2.346750e-05 #> [14196,] 2.559717e-05 2.490700e-05 #> [14197,] 2.080807e-05 2.006116e-05 #> [14198,] 6.635141e-05 8.403074e-05 #> [14199,] 2.818397e-05 2.966227e-05 #> [14200,] 2.419790e-05 2.235278e-05 #> [14201,] 2.979432e-05 2.704155e-05 #> [14202,] 2.675610e-05 2.802769e-05 #> [14203,] 8.788526e-05 3.160805e-05 #> [14204,] 2.798880e-05 2.304108e-05 #> [14205,] 1.095372e-04 8.379111e-05 #> [14206,] 2.643145e-05 2.602310e-05 #> [14207,] 2.375193e-05 2.310564e-05 #> [14208,] 6.254867e-05 5.060617e-05 #> [14209,] 2.420820e-05 2.390382e-05 #> [14210,] 2.642170e-05 3.974524e-05 #> [14211,] 2.923107e-05 3.047709e-05 #> [14212,] 6.118377e-05 8.146277e-05 #> [14213,] 2.582819e-05 2.841426e-05 #> [14214,] 2.740883e-05 2.413737e-05 #> [14215,] 1.153671e-04 1.210382e-04 #> [14216,] 3.356167e-05 2.556364e-05 #> [14217,] 2.571006e-05 2.278911e-05 #> [14218,] 4.815885e-05 3.881157e-05 #> [14219,] 3.536344e-05 2.929620e-05 #> [14220,] 5.129412e-05 8.844958e-05 #> [14221,] 2.759666e-05 2.505062e-05 #> [14222,] 3.108988e-05 5.040990e-05 #> [14223,] 3.616644e-05 3.690444e-05 #> [14224,] 5.537193e-05 6.682842e-05 #> [14225,] 8.545447e-05 6.725077e-05 #> [14226,] 6.303890e-04 2.552439e-04 #> [14227,] 2.557257e-05 2.760658e-05 #> [14228,] 2.904235e-05 2.577284e-05 #> [14229,] 8.087672e-05 3.597644e-05 #> [14230,] 2.599361e-04 5.260959e-05 #> [14231,] 3.104426e-05 2.365680e-05 #> [14232,] 4.117543e-05 2.336762e-05 #> [14233,] 2.977663e-05 2.600672e-05 #> [14234,] 2.331001e-05 2.093324e-05 #> [14235,] 2.431644e-05 2.112610e-05 #> [14236,] 5.005319e-05 6.547134e-05 #> [14237,] 4.609768e-05 4.075594e-05 #> [14238,] 2.843871e-05 2.843477e-05 #> [14239,] 3.131376e-05 2.668317e-05 #> [14240,] 2.863614e-05 2.480722e-05 #> [14241,] 2.155272e-05 2.149835e-05 #> [14242,] 2.411297e-05 2.188706e-05 #> [14243,] 3.020641e-05 2.661451e-05 #> [14244,] 3.478856e-05 3.264763e-05 #> [14245,] 3.331967e-05 2.763376e-05 #> [14246,] 2.443728e-05 2.308555e-05 #> [14247,] 2.919156e-05 2.910691e-05 #> [14248,] 8.238069e-05 1.483314e-04 #> [14249,] 2.627245e-05 3.557623e-05 #> [14250,] 2.639073e-05 2.258572e-05 #> [14251,] 2.421367e-05 2.300548e-05 #> [14252,] 3.694615e-04 3.590380e-04 #> [14253,] 3.530121e-05 5.908509e-05 #> [14254,] 4.030314e-05 4.224372e-05 #> [14255,] 2.459526e-05 2.260579e-05 #> [14256,] 2.194848e-05 1.990513e-05 #> [14257,] 2.809150e-05 2.380350e-05 #> [14258,] 1.165287e-04 1.480946e-04 #> [14259,] 3.950105e-05 6.708168e-05 #> [14260,] 5.120334e-05 5.245748e-05 #> [14261,] 3.212971e-05 3.289973e-05 #> [14262,] 6.193330e-05 3.184989e-05 #> [14263,] 2.554041e-05 2.302568e-05 #> [14264,] 3.466452e-05 3.227888e-05 #> [14265,] 3.208627e-05 2.493890e-05 #> [14266,] 3.069800e-05 2.506894e-05 #> [14267,] 3.063726e-05 2.797842e-05 #> [14268,] 3.355364e-05 3.704956e-05 #> [14269,] 2.980688e-05 4.242319e-05 #> [14270,] 2.327167e-05 2.680781e-05 #> [14271,] 7.835347e-05 8.542604e-05 #> [14272,] 3.100373e-05 2.653126e-05 #> [14273,] 2.765518e-05 2.076272e-05 #> [14274,] 3.076620e-05 2.309518e-05 #> [14275,] 2.651231e-05 2.863186e-05 #> [14276,] 5.905832e-05 1.493444e-04 #> [14277,] 2.322586e-04 6.290280e-05 #> [14278,] 7.967594e-05 1.121675e-04 #> [14279,] 2.725598e-05 2.376573e-05 #> [14280,] 1.076399e-04 3.418938e-05 #> [14281,] 1.195190e-04 1.090121e-04 #> [14282,] 2.707041e-05 2.539193e-05 #> [14283,] 1.368717e-04 2.773172e-04 #> [14284,] 2.404151e-05 2.268502e-05 #> [14285,] 2.474295e-05 2.491110e-05 #>  [ reached getOption(\"max.print\") -- omitted 10975 rows ]"},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_pStrata_parallel.html","id":null,"dir":"Reference","previous_headings":"","what":"rcpp_pStrata_parallel — rcpp_pStrata_parallel","title":"rcpp_pStrata_parallel — rcpp_pStrata_parallel","text":"computes partial transcriptome evolutionary index (TEI) values combined strata","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_pStrata_parallel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"rcpp_pStrata_parallel — rcpp_pStrata_parallel","text":"","code":"rcpp_pStrata_parallel(expression, ps, psgroup, ncores = 1L)"},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_pStrata_parallel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"rcpp_pStrata_parallel — rcpp_pStrata_parallel","text":"expression ExpressionSet sparseMatrix ps named Phylostratum psgroup ordered unique Phylostratum ncores number cores","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_pStrata_parallel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"rcpp_pStrata_parallel — rcpp_pStrata_parallel","text":"sparseMatrix","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_pStrata_parallel.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"rcpp_pStrata_parallel — rcpp_pStrata_parallel","text":"Kristian K Ullrich","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_pStrata_parallel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"rcpp_pStrata_parallel — rcpp_pStrata_parallel","text":"","code":"## load example PhyloExpressionSetExample  data(\"PhyloExpressionSetExample\", package=\"myTAI\")  ## convert into sparseMatrix - rownames GeneID  spmat <- as(data.matrix(PhyloExpressionSetExample[,-c(1,2)]),     \"sparseMatrix\") rownames(spmat) <- PhyloExpressionSetExample$GeneID  ## create named Phylostratum vector  ps <- setNames(PhyloExpressionSetExample$Phylostratum,     PhyloExpressionSetExample$GeneID) psgroup <- sort(unique(ps))  ## get pStrata rcpp_pStrata_parallel(spmat, ps, psgroup) #>             [,1]       [,2]       [,3]       [,4]       [,5]       [,6] #>  [1,] 0.39295331 0.39353082 0.41421061 0.41153988 0.42168061 0.41783018 #>  [2,] 0.55914875 0.56125250 0.56064163 0.55594427 0.54154068 0.51070341 #>  [3,] 0.09817938 0.09291830 0.08275821 0.08814585 0.09169432 0.09019669 #>  [4,] 0.33590159 0.33335787 0.32614435 0.33717297 0.33268496 0.34456426 #>  [5,] 0.16656429 0.16792339 0.15234382 0.15726786 0.15927610 0.18987539 #>  [6,] 0.25872990 0.26813378 0.24458170 0.24677547 0.25514358 0.26917571 #>  [7,] 0.06513175 0.05682826 0.05105236 0.05618130 0.05530130 0.05528356 #>  [8,] 0.06511643 0.06180498 0.05601089 0.05588683 0.05442226 0.07020109 #>  [9,] 0.09219381 0.09370185 0.09456557 0.08935340 0.07978112 0.09354879 #> [10,] 0.38766762 0.40666192 0.36664326 0.33649918 0.31130963 0.33833215 #> [11,] 0.06843326 0.07179705 0.06151227 0.06330899 0.06232254 0.06249801 #> [12,] 0.73992167 0.71770319 0.69667019 0.71861745 0.70883635 0.73430205 #>             [,7] #>  [1,] 0.38838151 #>  [2,] 0.47780681 #>  [3,] 0.10601483 #>  [4,] 0.39341385 #>  [5,] 0.21135880 #>  [6,] 0.34374736 #>  [7,] 0.07450933 #>  [8,] 0.08259620 #>  [9,] 0.10997873 #> [10,] 0.32646984 #> [11,] 0.08185437 #> [12,] 0.79420194"},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_tei_parallel.html","id":null,"dir":"Reference","previous_headings":"","what":"rcpp_tei_parallel — rcpp_tei_parallel","title":"rcpp_tei_parallel — rcpp_tei_parallel","text":"computes phylogenetically based transcriptome evolutionary index (TEI)","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_tei_parallel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"rcpp_tei_parallel — rcpp_tei_parallel","text":"","code":"rcpp_tei_parallel(expression, ps, ncores = 1L)"},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_tei_parallel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"rcpp_tei_parallel — rcpp_tei_parallel","text":"expression ExpressionSet sparseMatrix ps named Phylostratum ncores number cores","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_tei_parallel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"rcpp_tei_parallel — rcpp_tei_parallel","text":"list","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_tei_parallel.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"rcpp_tei_parallel — rcpp_tei_parallel","text":"Kristian K Ullrich","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rcpp_tei_parallel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"rcpp_tei_parallel — rcpp_tei_parallel","text":"","code":"## load example sequence data data(\"PhyloExpressionSetExample\", package=\"myTAI\") spmat <- as(data.matrix(PhyloExpressionSetExample[,-c(1,2)]), \"sparseMatrix\") rownames(spmat) <- PhyloExpressionSetExample$GeneID ps <- setNames(PhyloExpressionSetExample$Phylostratum, PhyloExpressionSetExample$GeneID) rcpp_tei_parallel(spmat, ps) #> $sumx #> [1] 60413160 59665009 57246260 55866953 55152111 57140339 63197410 #>  #> $teisum #> [1] 195130989 192456282 177871849 174120165 169537228 181506933 214260302 #>  #> $tei #> [1] 3.229942 3.225614 3.107135 3.116693 3.073993 3.176511 3.390334 #>"},{"path":"https://drostlab.github.io/myTAI/reference/reversehourglassScore.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute the Reverse Hourglass Score for the Reverse Hourglass Test — reversehourglassScore","title":"Compute the Reverse Hourglass Score for the Reverse Hourglass Test — reversehourglassScore","text":"function reduces destruction hourglass shaped pattern single score value. Based given TAI TDI pattern given vector         divided three developmental modules: early, mid, late. corrisponding TAI TDI         values developmental module accumulated using scoringMethod argument (\"max-min\" \"mean-mean\"). detail: (1) given TAI TDI vector tai_profile tdi_profile, classify value tai_profile tdi_profile corresponding developmental module early, mid, late. (2) accumulate tai_profile tdi_profile values developmental module using arithmetic mean (mean) case scoringMethod = \"mean-mean\", accumulate tai_profile tdi_profile values developmental module using max early late module min mid module case scoringMethod = \"max-min\". (3) reduce three values developmental module computing difference : mid - early, mid - late. (4) two difference values referred a_early a_late. developmental module now accumulated representation value reduced one value using         method argument (\"max\", \"min\", \"mean\"). Given two accumulated values hourglass module: a_early a_late,         reduce two given values : \"max\": \\(S = max{a_early,a_late}\\) \"min\": \\(S = min{a_early,a_late}\\) \"mean\": \\(S = mean{a_early,a_late}\\) together results global score S. global score S returned function.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/reversehourglassScore.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute the Reverse Hourglass Score for the Reverse Hourglass Test — reversehourglassScore","text":"","code":"reversehourglassScore(   age_vals,   early,   mid,   late,   method,   scoringMethod,   profile.warn = FALSE )"},{"path":"https://drostlab.github.io/myTAI/reference/reversehourglassScore.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute the Reverse Hourglass Score for the Reverse Hourglass Test — reversehourglassScore","text":"age_vals numeric vector containing TAI TDI values developmental stage s. early numeric vector including numeric stage values correspond early phase development. mid numeric vector including numeric stage values correspond middle phase development. late numeric vector including numeric stage values correspond late phase development. method determine two value reduction value, resulting global score S: \"max\", \"min\", \"mean\". scoringMethod method determine module accumulation value: \"max-min\" \"mean-mean\". profile.warn boolean value indicating whether warning printed low-high-low pattern followed.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/reversehourglassScore.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute the Reverse Hourglass Score for the Reverse Hourglass Test — reversehourglassScore","text":"numeric value representing hourglass destruction score.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/reversehourglassScore.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute the Reverse Hourglass Score for the Reverse Hourglass Test — reversehourglassScore","text":"gpScore heuristic score enabling  construct test statistic determine significance present (phylotranscriptomic) hourglass pattern.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/reversehourglassScore.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute the Reverse Hourglass Score for the Reverse Hourglass Test — reversehourglassScore","text":"Drost et al. (2015), Evidence active maintenance phylotranscriptomic hourglass patterns animal plant embryogenesis. Mol Bio Evol.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/reversehourglassScore.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute the Reverse Hourglass Score for the Reverse Hourglass Test — reversehourglassScore","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/reversehourglassScore.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute the Reverse Hourglass Score for the Reverse Hourglass Test — reversehourglassScore","text":"","code":"# read standard phylotranscriptomics data  data(PhyloExpressionSetExample)  data(DivergenceExpressionSetExample)   # example PhyloExpressionSet:   # compute the TAI profile  TAIs <- TAI(PhyloExpressionSetExample)   # compute the global reverse hourglass destruction score   # for the TAIs profile using reduction method: mean(mean-mean)  reversehourglass_score <- reversehourglassScore(age_vals = TAIs,early = 1:2,mid = 3:5,late = 6:7,                      method = \"mean\",scoringMethod = \"mean-mean\")    # example DivergenceExpressionSet:   # compute the TDI profile  TDIs <- TDI(DivergenceExpressionSetExample)   # compute the global reverse hourglass destruction score for the TDIs profile   # using reduction method: mean(mean-mean)  reversehourglass_score <- reversehourglassScore(age_vals = TDIs,early = 1:2,mid = 3:5,late = 6:7,                      method = \"mean\",scoringMethod = \"mean-mean\")                        # get warning if the expected pattern isn't followed  reversehourglass_score <- reversehourglassScore(age_vals = TAIs,early = 1:2,mid = 3:5,late = 6:7,                      method = \"mean\",scoringMethod = \"mean-mean\",profile.warn=TRUE) #> The phylotranscriptomic pattern may not follow a reverse hourglass pattern (low-high-low)."},{"path":"https://drostlab.github.io/myTAI/reference/rhScore.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute the Hourglass Score for the Reductive Hourglass Test — rhScore","title":"Compute the Hourglass Score for the Reductive Hourglass Test — rhScore","text":"function reduces destruction hourglass shaped pattern single score value. Based given TAI TDI pattern given vector         divided three developmental modules: early, mid, late. corrisponding TAI TDI         values developmental module accumulated using scoringMethod argument (\"max-min\" \"mean-mean\"). detail: (1) given TAI TDI vector tai_profile tdi_profile, classify value tai_profile tdi_profile corresponding developmental module early, mid, late. (2) accumulate tai_profile tdi_profile values developmental module using arithmetic mean (mean) case scoringMethod = \"mean-mean\", accumulate tai_profile tdi_profile values developmental module using max early late module min mid module case scoringMethod = \"max-min\". (3) reduce three values developmental module computing difference : early - mid, late - mid. (4) two difference values referred a_early a_late. developmental module now accumulated representation value reduced one value using         method argument (\"max\", \"min\", \"mean\"). Given two accumulated values hourglass module: a_early a_late,         reduce two given values : \"max\": \\(S = max{a_early,a_late}\\) \"min\": \\(S = min{a_early,a_late}\\) \"mean\": \\(S = mean{a_early,a_late}\\) together results global score S. global score S returned function rhScore.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rhScore.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute the Hourglass Score for the Reductive Hourglass Test — rhScore","text":"","code":"rhScore(   age_vals,   early,   mid,   late,   method,   scoringMethod,   profile.warn = FALSE )"},{"path":"https://drostlab.github.io/myTAI/reference/rhScore.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute the Hourglass Score for the Reductive Hourglass Test — rhScore","text":"age_vals numeric vector containing TAI TDI values developmental stage s. early numeric vector including numeric stage values correspond early phase development. mid numeric vector including numeric stage values correspond middle phase development. late numeric vector including numeric stage values correspond late phase development. method determine two value reduction value, resulting global score S: \"max\", \"min\", \"mean\". scoringMethod method determine module accumulation value: \"max-min\" \"mean-mean\". profile.warn bolean value indicating whether warning printed high-low-high pattern followed.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rhScore.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute the Hourglass Score for the Reductive Hourglass Test — rhScore","text":"numeric value representing hourglass destruction score.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rhScore.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute the Hourglass Score for the Reductive Hourglass Test — rhScore","text":"gpScore heuristic score enabling  construct test statistic determine significance present (phylotranscriptomic) hourglass pattern.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rhScore.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute the Hourglass Score for the Reductive Hourglass Test — rhScore","text":"Drost HG et al. (2015) Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/rhScore.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute the Hourglass Score for the Reductive Hourglass Test — rhScore","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/rhScore.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute the Hourglass Score for the Reductive Hourglass Test — rhScore","text":"","code":"# read standard phylotranscriptomics data  data(PhyloExpressionSetExample)  data(DivergenceExpressionSetExample)   # example PhyloExpressionSet:   # compute the TAI profile  TAIs <- TAI(PhyloExpressionSetExample)   # compute the global hourglass destruction score   # for the TAIs profile using reduction method: mean(mean-mean)  rh_score <- rhScore(age_vals = TAIs,early = 1:2,mid = 3:5,late = 6:7,                      method = \"mean\",scoringMethod = \"mean-mean\")    # example DivergenceExpressionSet:   # compute the TDI profile  TDIs <- TDI(DivergenceExpressionSetExample)   # compute the global hourglass destruction score for the TDIs profile   # using reduction method: mean(mean-mean)  rh_score <- rhScore(age_vals = TDIs,early = 1:2,mid = 3:5,late = 6:7,                      method = \"mean\",scoringMethod = \"mean-mean\")                        # get warning if the expected pattern isn't followed  rh_score <- rhScore(age_vals = TAIs,early = 1:2,mid = 3:5,late = 6:7,                      method = \"mean\",scoringMethod = \"mean-mean\",profile.warn=TRUE)"},{"path":"https://drostlab.github.io/myTAI/reference/taxid.html","id":null,"dir":"Reference","previous_headings":"","what":"Retrieve taxonomy categories from NCBI Taxonomy — taxid","title":"Retrieve taxonomy categories from NCBI Taxonomy — taxid","text":"function retrieves category information NCBI Taxonomy able filter kingdom specific taxids.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/taxid.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Retrieve taxonomy categories from NCBI Taxonomy — taxid","text":"","code":"taxid(db.path, download = FALSE, update = FALSE, filter = NULL)"},{"path":"https://drostlab.github.io/myTAI/reference/taxid.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Retrieve taxonomy categories from NCBI Taxonomy — taxid","text":"db.path path download store NCBI Taxonomy categories.dmp file. Default tempdir() directory. download logical value specifying whether categories.dmp shall downloaded (download = TRUE) whether local version already exists users machine (download = TRUE - case please specify db.path argument target local categories.dmp file). update local file updated? Please specify db.path argument target local categories.dmp file. filter character string specifying kingdom life taxids shall returned. Options \"Archea\", \"Bacteria\", \"Eukaryota\", \"Viruses\", \"Unclassified\".","code":""},{"path":"https://drostlab.github.io/myTAI/reference/taxid.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Retrieve taxonomy categories from NCBI Taxonomy — taxid","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/taxid.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Retrieve taxonomy categories from NCBI Taxonomy — taxid","text":"","code":"if (FALSE) { # \\dontrun{ # download categories.dmp file to current working directory  # and filter for 'Archea' taxids Archea.taxids <- taxid(db.path = getwd(), filter = \"Archea\", download = TRUE)  # Once the NCBI Taxonomy 'categories.dmp' file is downloaded to your machine ('download = TRUE') # the 'taxid()' function can be proceed on the local 'categories.dmp' file # e.g. filter for Virus taxids Virus.taxids <- taxid(db.path = getwd(), filter = \"Viruses\") } # }"},{"path":"https://drostlab.github.io/myTAI/reference/tf.html","id":null,"dir":"Reference","previous_headings":"","what":"Transform Gene Expression Levels — tf","title":"Transform Gene Expression Levels — tf","text":"function transforms gene expression set stored input PhloExpressionSet DivergenceExpressionSet object returns PhloExpressionSet DivergenceExpressionSet object transformed expression levels. resulting transformed PhloExpressionSet DivergenceExpressionSet object can used subsequent analyses based transformed expression levels.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/tf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Transform Gene Expression Levels — tf","text":"","code":"tf(ExpressionSet, FUN, pseudocount = 0, integerise = FALSE)"},{"path":"https://drostlab.github.io/myTAI/reference/tf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Transform Gene Expression Levels — tf","text":"ExpressionSet standard PhloExpressionSet DivergenceExpressionSet object. FUN valid function transforms gene expression levels. pseudocount numeric value added expression matrix prior transformation. integerise boolean specifying whether expression data rounded nearest integer.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/tf.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Transform Gene Expression Levels — tf","text":"standard PhloExpressionSet DivergenceExpressionSet object storing transformed gene expression levels.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/tf.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Transform Gene Expression Levels — tf","text":"Motivated dicussion raised Piasecka et al., 2013, influence gene expression transformation global phylotranscriptomics pattern seem negligible. Hence, different transformations can result qualitatively different TAI TDI patterns. Initially, TAI TDI formulas defined absolute expression levels. using initial TAI TDI formulas transformed expression levels might turn qualitatively different patterns compared non-transformed expression levels, might also belong different class models, since different valid expression level transformation functions result different patterns. purpose function allow user study qualitative impact different transformation functions global TAI TDI pattern, subsequent phylotranscriptomics analysis. examples using PhyloExpressionSetExample data set show using common gene expression transformation functions: log2 (Quackenbush, 2001 2002), sqrt (Yeung et al., 2001), boxcox, inverse hyperbolic sine transformation, transformation results qualitatively different patterns. Nevertheless, resulting pattern statistical significance can tested using either FlatLineTest ReductiveHourglassTest (Drost et al., 2014) quantify significance interest.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/tf.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Transform Gene Expression Levels — tf","text":"Piasecka B, Lichocki P, Moretti S, et al. (2013) hourglass early conservation models–co-existing patterns developmental constraints vertebrates. PLoS Genet. 9(4): e1003476. Quint M., Drost H.G., Gabel ., Ullrich K.K., Boenn M., Grosse . (2012) transcriptomic hourglass plant embryogenesis. Nature 490: 98-101. Domazet-Loso T., Tautz D. (2010) phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns. Nature 468: 815-8. Drost HG et al. (2015) Mol Biol Evol. 32 (5): 1221-1231 doi:10.1093/molbev/msv012 K.Y. Yeung et al.: Model-based clustering data transformations gene expression data. Bioinformatics 2001, 17:977-987 K.Y. Yeung et al.:  Supplement Model-based clustering data transformations gene expression data - Data Transformations Gaussian mixture assumption. Bioinformatics 2001, 17:977-987 P..C. Hoen et al.: Deep sequencing-based expression analysis shows major advances robustness, resolution inter-lab portability five microarray platforms. Nucleic Acids Research 2008, Vol. 36, . 21 H.H. Thygesen et al.: Comparing transformation methods DNA microarray data. BMC Bioinformatics 2004, 5:77 John Quackenbush: Microarray data normalization transformation. Nature Genetics 2002, 32:496-501 John Quackenbush: Computational Analysis Microarray Data. Nature Reviews 2001, 2:418-427 R. Nadon J. Shoemaker: Statistical issues microarrays: processing analysis. TRENDS Genetics 2002, Vol. 18 . 5:265-271 B.P. Durbin et al.: variance-stabilizing transformation gene-expression microarray data. Bioinformatics 2002, 18:S105-S110 J. M. Bland et al.: Transforming data. BMJ 1996, 312:770 John B. Burbidge, Lonnie Magee . Leslie Robb (1988) Alternative Transformations Handle Extreme Values Dependent Variable. Journal American Statistical Association, 83(401): 123-127. G. E. P. Box D. R. Cox (1964) Analysis Transformations. Journal Royal Statistical Society. Series B (Methodological), 26(2): 211-252.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/tf.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Transform Gene Expression Levels — tf","text":"Hajk-Georg Drost","code":""},{"path":"https://drostlab.github.io/myTAI/reference/tf.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Transform Gene Expression Levels — tf","text":"","code":"if (FALSE) { # \\dontrun{ data(PhyloExpressionSetExample)  # a simple example is to transform the gene expression levels # of a given PhyloExpressionSet using a sqrt or log2 transformation  PES.sqrt <- tf(PhyloExpressionSetExample, sqrt)  PES.log2 <- tf(PhyloExpressionSetExample, log2)  # plotting the TAI using log2 transformed expression levels # and performing the Flat Line Test to obtain the p-value PlotSignature(ExpressionSet = tf(PhyloExpressionSetExample, log2),             permutations = 1000)    # in case the expression matrix contains 0s, a pseudocount can be added prior # to certain transformations, e.g. log2(x+1) where 1 is the pseudocount.  PhyloExpressionSetExample[4,3] = 0 PES.log2 <- tf(PhyloExpressionSetExample, log2, pseudocount = 0)  # this should return -Inf at PES.log2[4,3] the issue here is that  # -Inf cannot be used to compute the phylotranscriptomic profile.  PES.log2 <- tf(PhyloExpressionSetExample, log2, pseudocount = 1) # log2 transformed expression levels can now be used in downstream analyses.   # to perform rank transformation  PES.rank <- tf(PhyloExpressionSetExample, FUN = function(x) apply(x, 2, base::rank))   # rlog and vst transformations are now also possible by loading the DESeq2 package # and transforming the data with the parameter integerise = TRUE. library(DESeq2) # make sure the DESeq2 version >= 1.29.15 for rlog PES.vst <- tf(PhyloExpressionSetExample, vst, integerise = TRUE) } # }"},{"path":"https://drostlab.github.io/myTAI/reference/tfPS.html","id":null,"dir":"Reference","previous_headings":"","what":"Transform Phylostratum Values — tfPS","title":"Transform Phylostratum Values — tfPS","text":"function performs transformation phylostratum values.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/tfPS.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Transform Phylostratum Values — tfPS","text":"","code":"tfPS(ExpressionSet, transform)"},{"path":"https://drostlab.github.io/myTAI/reference/tfPS.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Transform Phylostratum Values — tfPS","text":"ExpressionSet standard PhyloExpressionSet object. transform character vector valid function transforms PS values. Possible values can : transform = \"qr\" (\"quantilerank\") : quantile rank transformation analogous Julia function StatsBase.quantilerank using method = :tied.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/tfPS.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Transform Phylostratum Values — tfPS","text":"standard PhloExpressionSet object storing transformed Phylostratum levels.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/tfPS.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Transform Phylostratum Values — tfPS","text":"function transforms phylostratum assignment. return value function PhyloExpressionSet object transformed phylostratum tfPhylostratum first column, satisfying .ExpressionSet. Note input transform must available function, currently limited \"qr\" (\"quantilerank\").","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/tfPS.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Transform Phylostratum Values — tfPS","text":"Jaruwatana Sodai Lotharukpong Lukas Maischak","code":""},{"path":"https://drostlab.github.io/myTAI/reference/tfPS.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Transform Phylostratum Values — tfPS","text":"","code":"# source the example dataset data(PhyloExpressionSetExample)   # get the relative expression profiles for each phylostratum tfPES <- tfPS(PhyloExpressionSetExample, transform = \"qr\") head(tfPES) #>   tfPhylostratum      GeneID     Zygote   Quadrant   Globular      Heart #> 1      0.1801861 at1g01040.2  2173.6352  1911.2001  1152.5553  1291.4224 #> 2      0.1801861 at1g01050.1  1501.0141  1817.3086  1665.3089  1564.7612 #> 3      0.1801861 at1g01070.1  1212.7927  1233.0023   939.2000   929.6195 #> 4      0.1801861 at1g01080.2  1016.9203   936.3837  1181.3381  1329.4734 #> 5      0.1801861 at1g01090.1 11424.5667 16778.1685 34366.6493 39775.6405 #> 6      0.1801861 at1g01120.1   844.0414   787.5929   859.6267   931.6180 #>      Torpedo       Bent    Mature #> 1  1000.2529   962.9772 1696.4274 #> 2  1496.3207  1114.6435 1071.6555 #> 3   864.2180   877.2060  894.8189 #> 4  1392.6429  1287.9746  861.2605 #> 5 56231.5689 66980.3673 7772.5617 #> 6   942.8453   870.2625  792.7542"},{"path":"https://drostlab.github.io/myTAI/reference/tfStability.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform Permutation Tests Under Different Transformations — tfStability","title":"Perform Permutation Tests Under Different Transformations — tfStability","text":"tfStability aims statistically evaluate stability ReductiveHourglassTest, FlatLineTest, ReverseHourglassTest, EarlyConservationTest, LateConservationTest (based TAI TDI computations) different data transformations. corresponding p-value quantifies probability given TAI TDI pattern (phylotranscriptomics pattern) support chosen test. p-value < 0.05 indicates corresponding phylotranscriptomics pattern indeed support chosen test.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/tfStability.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform Permutation Tests Under Different Transformations — tfStability","text":"","code":"tfStability(   ExpressionSet,   TestStatistic = \"FlatLineTest\",   transforms = c(\"none\", \"sqrt\", \"log2\", \"rank\", \"squared\"),   modules = NULL,   permutations = 1000,   pseudocount = 1 )"},{"path":"https://drostlab.github.io/myTAI/reference/tfStability.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform Permutation Tests Under Different Transformations — tfStability","text":"ExpressionSet standard PhyloExpressionSet DivergenceExpressionSet object. TestStatistic string defining type test statistics used quantify statistical significance present phylotranscriptomics pattern. Possible values can : TestStatistic = \"FlatLineTest\" : Statistical test deviation flat line TestStatistic = \"ReductiveHourglassTest\" : Statistical test existence hourglass shape (high-low-high pattern) TestStatistic = \"ReverseHourglassTest\" : Statistical test existence reverse hourglass pattern (low-high-low pattern) TestStatistic = \"EarlyConservationTest\" : Statistical test existence early conservation pattern (low-high-high pattern) TestStatistic = \"LateConservationTest\" : Statistical test existence late conservation pattern (high-high-low pattern) transforms character vector valid function transforms gene expression levels. modules list storing three elements: early, mid, late. element expects numeric vector specifying developmental stages experiments correspond module. example, module = list(early = 1:2, mid = 3:5, late = 6:7) divides dataset storing seven developmental stages 3 modules. permutations numeric value specifying number permutations performed FlatLineTest, EarlyConservationTest, LateConservationTest, ReductiveHourglassTest ReverseHourglassTest. pseudocount valid number add expression matrix prior log transformations.","code":""},{"path":"https://drostlab.github.io/myTAI/reference/tfStability.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Perform Permutation Tests Under Different Transformations — tfStability","text":"vector object containing vector elements: p.value : p-value quantifying statistical significance (depending chosen test) given phylotranscriptomics pattern given data transformation(s).","code":""},{"path":"https://drostlab.github.io/myTAI/reference/tfStability.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Perform Permutation Tests Under Different Transformations — tfStability","text":"assessment stability data transforms permutation test choice. details, please consult tf, ReductiveHourglassTest, FlatLineTest, ReverseHourglassTest, LateConservationTest EarlyConservationTest","code":""},{"path":"https://drostlab.github.io/myTAI/reference/tfStability.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Perform Permutation Tests Under Different Transformations — tfStability","text":"Lotharukpong JS et al. (2023) (unpublished)","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/reference/tfStability.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Perform Permutation Tests Under Different Transformations — tfStability","text":"Jaruwatana Sodai Lotharukpong","code":""},{"path":"https://drostlab.github.io/myTAI/reference/tfStability.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform Permutation Tests Under Different Transformations — tfStability","text":"","code":"data(PhyloExpressionSetExample)  # perform the reductive hourglass test for a PhyloExpressionSet # here the prior biological knowledge is that stages 1-2 correspond to module 1 = early, # stages 3-5 to module 2 = mid (phylotypic module), and stages 6-7 correspond to # module 3 = late tfStability(ExpressionSet = PhyloExpressionSetExample,                      TestStatistic = \"ReductiveHourglassTest\",                      permutations       = 100,                      transforms = c(\"log2\", \"sqrt\", \"none\"),                      modules = list(early = 1:2, mid = 3:5, late = 6:7)) #> Proceeding with the ReductiveHourglassTest #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #>         log2         sqrt         none  #> 8.884068e-02 2.620711e-06 1.421041e-08    # it is also possible to test the phylotranscriptomic pattern using rlog # and vst transforms from DESeq2  library(DESeq2) #> Loading required package: S4Vectors #> Warning: package ‘S4Vectors’ was built under R version 4.4.1 #> Loading required package: stats4 #> Loading required package: BiocGenerics #>  #> Attaching package: ‘BiocGenerics’ #> The following objects are masked from ‘package:stats’: #>  #>     IQR, mad, sd, var, xtabs #> The following objects are masked from ‘package:base’: #>  #>     Filter, Find, Map, Position, Reduce, anyDuplicated, aperm, append, #>     as.data.frame, basename, cbind, colnames, dirname, do.call, #>     duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted, #>     lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin, #>     pmin.int, rank, rbind, rownames, sapply, setdiff, table, tapply, #>     union, unique, unsplit, which.max, which.min #>  #> Attaching package: ‘S4Vectors’ #> The following object is masked from ‘package:utils’: #>  #>     findMatches #> The following objects are masked from ‘package:base’: #>  #>     I, expand.grid, unname #> Loading required package: IRanges #> Warning: package ‘IRanges’ was built under R version 4.4.1 #> Loading required package: GenomicRanges #> Loading required package: GenomeInfoDb #> Loading required package: SummarizedExperiment #> Loading required package: MatrixGenerics #> Loading required package: matrixStats #> Warning: package ‘matrixStats’ was built under R version 4.4.1 #>  #> Attaching package: ‘MatrixGenerics’ #> The following objects are masked from ‘package:matrixStats’: #>  #>     colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse, #>     colCounts, colCummaxs, colCummins, colCumprods, colCumsums, #>     colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs, #>     colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats, #>     colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds, #>     colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads, #>     colWeightedMeans, colWeightedMedians, colWeightedSds, #>     colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet, #>     rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods, #>     rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps, #>     rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins, #>     rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks, #>     rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars, #>     rowWeightedMads, rowWeightedMeans, rowWeightedMedians, #>     rowWeightedSds, rowWeightedVars #> Loading required package: Biobase #> Welcome to Bioconductor #>  #>     Vignettes contain introductory material; view with #>     'browseVignettes()'. To cite Bioconductor, see #>     'citation(\"Biobase\")', and for packages 'citation(\"pkgname\")'. #>  #> Attaching package: ‘Biobase’ #> The following object is masked from ‘package:MatrixGenerics’: #>  #>     rowMedians #> The following objects are masked from ‘package:matrixStats’: #>  #>     anyMissing, rowMedians tfStability(ExpressionSet = PhyloExpressionSetExample,                      TestStatistic = \"ReductiveHourglassTest\",                      permutations       = 100,                      transforms = c(\"log2\", \"sqrt\", \"none\", \"vst\"),                      modules = list(early = 1:2, mid = 3:5, late = 6:7)) #> Proceeding with the ReductiveHourglassTest #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #> converting counts to integer mode #> -- note: fitType='parametric', but the dispersion trend was not well captured by the #>    function: y = a/x + b, and a local regression fit was automatically substituted. #>    specify fitType='local' or 'mean' to avoid this message next time. #> The phylotranscriptomic pattern may not follow an hourglass pattern (high-low-high). #>  #> [ Number of Eigen threads that are employed on your machine: 12 ] #>  #> [ Computing age assignment permutations for test statistic ... ] #>  [=========================================] 100%    #> [ Computing variances of permuted transcriptome signatures ... ] #>  #>         log2         sqrt         none          vst  #> 1.218331e-01 1.121363e-07 1.008760e-09 9.057958e-01"},{"path":[]},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"new-functions-1-0-2-9000","dir":"Changelog","previous_headings":"","what":"New Functions","title":"myTAI 1.0.2.9000","text":"New function tfPS() : Perform transformation phylostratum values, analogous PS() transforms expression levels. Currently, tfPS() supports quantile rank transformation. New function PairwiseTest() : Statistically evaluate pairwise difference phylotranscriptomic pattern two contrasts based   computations. New function pairScore() : Compute pairwise difference TAI (TDI) score.","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"bug-and-issue-fixes-1-0-2-9000","dir":"Changelog","previous_headings":"","what":"Bug and Issue Fixes","title":"myTAI 1.0.2.9000","text":"Removed taxonomy() references due deprecation taxize(). needed CRAN submission.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"new-functions-1-0-1-9000","dir":"Changelog","previous_headings":"","what":"New Functions","title":"myTAI 1.0.1.9000","text":"New function PlotSignatureTransformed() : Plot evolutionary signatures across transcriptomes RNA-seq transformations New function tfStability(): Perform Permutation Tests Different Transformations (test robustness p-values given test (e.g. FlatLineTest(), ReductiveHourglassTest(), ReverseHourglassTest(), EarlyConservationTest() LateConservationTest()) expression data transformations) New function LateConservationTest() : Perform Reductive Late Conservation Test (test high-mid-low (high-high-low) TAI TDI pattern) New function lcScore() : Compute Hourglass Score LateConservationTest internal rcpp functions now using Eigen automatically enable parallelization","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"new-features-1-0-1-9000","dir":"Changelog","previous_headings":"","what":"New Features","title":"myTAI 1.0.1.9000","text":"PlotSignature() updated able perform TestStatistic = \"LateConservationTest\". PlotSignature() now prints p-value subtitle rather via ggplot2::annotate(). tf() now pseudocount parameter, useful performing logarithmic transformations genes 0 counts. tf() now supports vst rlog transformations DESeq2. tf() now intergerise parameter, needed applying vst rlog transformations. tf() updated documentation performing rank transformation, assigns ranks gene expression values within stage, based relative positions compared values. Improvements existing test functions (ecScore(), rhScore() reversehourglassScore()) give message phylotranscriptomic pattern unlikely follow test statistics. FlatLineTest() - newly returns ks test statistics fitting gamma FlatLineTest() - improved fitting FlatLineTest() - cpp functions newly parallelized progress bar implemented computation permutations","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"bug-and-issue-fixes-1-0-1-9000","dir":"Changelog","previous_headings":"","what":"Bug and Issue Fixes","title":"myTAI 1.0.1.9000","text":"changes remove errors warnings devtools::test() devtools::check(), building package, accumulated previous updates.","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"new-functions-1-0-0","dir":"Changelog","previous_headings":"","what":"New Functions","title":"myTAI 1.0.0","text":"New function TEI(): Compute Transcriptome Evolutionary Index New function pMatrixTEI: Compute Partial Transcriptome Evolutionary Index (TEI) Values New function pStrataTEI: Compute Partial Transcriptome Evolutionary Index (TEI) Strata Values New function bootTEI: Compute Permutation Matrix Transcriptome Evolutionary Index (TEI) new internal rcpp functions support parallel C++ computations TEI(), pMatrixTEI(), pStrataTEI(), bootTEI()","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"new-features-1-0-0","dir":"Changelog","previous_headings":"","what":"New Features","title":"myTAI 1.0.0","text":"CollapseReplicates() now returns tibble objects PlotCategoryExpr() received new argument y.ticks","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"bug-and-issue-fixes-1-0-0","dir":"Changelog","previous_headings":"","what":"Bug and Issue Fixes","title":"myTAI 1.0.0","text":"CollapseFromTo() now exception replicate number 1 passed function -> previously cause error occur","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"mytai-093","dir":"Changelog","previous_headings":"","what":"myTAI 0.9.3","title":"myTAI 0.9.3","text":"CRAN release: 2021-02-24 removing depreciated std::random_shuffle() function sample plylostratum divergence stratum columns replacing std::shuffle(). See full discussion . removing depreciated function calls dplyr::funs() tibble::.tibble() updated unit tests","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"mytai-092","dir":"Changelog","previous_headings":"","what":"myTAI 0.9.2","title":"myTAI 0.9.2","text":"CRAN release: 2020-01-10 changing maintainer email-address","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"mytai-091","dir":"Changelog","previous_headings":"","what":"myTAI 0.9.1","title":"myTAI 0.9.1","text":"CRAN release: 2019-03-10 fixing unit test uses set.seed(123) causes error new R version 3.6.0 due switch non-uniform \"Rounding\" sampler \"Rejection\" sampler new R version; corresponding unit test test-PlotEnrichment.R adjusted accordingly. CRAN statement: Note ensures using (old) non-uniform “Rounding” sampler 3.x versions R, add R version dependency. Note also new “Rejection” sampler R use 3.6.0 onwards default definitely preferable old one, really used temporary measure reproduction previous behavior (run time tests relying ).","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"mytai-090","dir":"Changelog","previous_headings":"","what":"myTAI 0.9.0","title":"myTAI 0.9.0","text":"CRAN release: 2019-02-06","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"new-functions-0-9-0","dir":"Changelog","previous_headings":"","what":"New Functions","title":"myTAI 0.9.0","text":"new function ReverseHourglassTest() perform Reverse Hourglass Test. Reverse Hourglass Test aims statistically evaluate existence reverse hourglass pattern based TAI TDI computations. corresponding p-value quantifies probability given TAI TDI pattern (phylotranscriptomics pattern) follow hourglass like shape. p-value < 0.05 indicates corresponding phylotranscriptomics pattern rather follow reverse hourglass (low-high-low) shape. new function reversehourglassScore() computing Reverse Hourglass Score Reverse Hourglass Test","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"updated-functionality-0-9-0","dir":"Changelog","previous_headings":"","what":"Updated Functionality","title":"myTAI 0.9.0","text":"function PlotSignature() receives new TestStatistic (TestStatistic = \"ReverseHourglassTest\") perform revserse hourglass test (= testing significance low-high-low pattern)","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"mytai-080","dir":"Changelog","previous_headings":"","what":"myTAI 0.8.0","title":"myTAI 0.8.0","text":"CRAN release: 2018-05-23","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"updated-functionality-0-8-0","dir":"Changelog","previous_headings":"","what":"Updated Functionality","title":"myTAI 0.8.0","text":"fix remaining issues input tibble","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"mytai-070","dir":"Changelog","previous_headings":"","what":"myTAI 0.7.0","title":"myTAI 0.7.0","text":"CRAN release: 2018-04-11","code":""},{"path":[]},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"new-functions-0-7-0","dir":"Changelog","previous_headings":"Updates","what":"New Functions","title":"myTAI 0.7.0","text":"new function PlotCIRatio() compute visualize TAI/TDI etc patters using bootstrapping confidence intervals (contributed @ljljolinq1010)","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"update-functionality-0-7-0","dir":"Changelog","previous_headings":"Updates","what":"Update Functionality","title":"myTAI 0.7.0","text":"functions can now handle tibble data input -> errors thrown input data wasn’t strict data.frame format","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"mytai-060","dir":"Changelog","previous_headings":"","what":"myTAI 0.6.0","title":"myTAI 0.6.0","text":"CRAN release: 2017-07-03","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"updates-0-6-0","dir":"Changelog","previous_headings":"","what":"Updates","title":"myTAI 0.6.0","text":".ExpressionSet() now prints detailed error messages ExpressionSet format violated adapt PlotContribution() new version dplyr summarise_each() deprecated. Error message occurring new dplyr release : Failure: PlotContribution() works properly DivergenceExpressionSet input… (@test-PlotContribution.R#16) PlotContribution(DivergenceExpressionSetExample, legendName = “DS”) produced messages. summarise_each() deprecated. Use summarise_all(), summarise_at() summarise_if() instead. map funs variables, use summarise_all() summarise_each() deprecated. Use summarise_all(), summarise_at() summarise_if() instead. map funs variables, use summarise_all() now fixed.","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"mytai-050","dir":"Changelog","previous_headings":"","what":"myTAI 0.5.0","title":"myTAI 0.5.0","text":"CRAN release: 2017-03-14","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"new-functions-0-5-0","dir":"Changelog","previous_headings":"","what":"New Functions","title":"myTAI 0.5.0","text":"new function PlotSignature() allows users plot evolutionary signatures across transcriptomes (based ggplot2 -> new main visualization function aiming replace PlotPattern() function) new function TPI() allows users compute Transcriptome Polymorphism Index introduced Gossmann et al., 2015. new function PlotMedians() allows users compute visualize median expression age categories new function PlotVars() allows users compute visualize expression variance age categories","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"updates-0-5-0","dir":"Changelog","previous_headings":"","what":"Updates","title":"myTAI 0.5.0","text":"PlotContribution() now based ggplot2 loses base graphics arguments now R/RcppExports.R src/rcpp_funcs.cpp included package due previous compilation problems (see also stackoverflow discussion) MatchMap() now based dplyr::inner_join() match age category table gene expression dataset PlotCorrelation() extended optimized producing high publication quality plots PlotMeans() now based ggplot2 lost base graphics arguments. PlotRE() now based ggplot2 lost base graphics arguments.","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"vignettes-0-5-0","dir":"Changelog","previous_headings":"","what":"Vignettes","title":"myTAI 0.5.0","text":"Introduction vignette: complete restructuring Introduction Introduction vignette: add new ggplot2 based examples","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"mytai-040","dir":"Changelog","previous_headings":"","what":"myTAI 0.4.0","title":"myTAI 0.4.0","text":"CRAN release: 2016-05-04","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"new-functions-0-4-0","dir":"Changelog","previous_headings":"","what":"New Functions","title":"myTAI 0.4.0","text":"new function PlotSelectedAgeDistr() allowing unsers visualize PS DS gene distribution subset genes stored input ExpressionSet object new function PlotGroupDiffs() allowing users plot significant differences gene expression distributions PS DS groups new function GroupDiffs() allowing users perform statistical tests quantify gene expression level differences genes defined PS DS groups","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"updates-0-4-0","dir":"Changelog","previous_headings":"","what":"Updates","title":"myTAI 0.4.0","text":"PlotDistribution() now uses ggplot2 visualize PS DS distribution also based new function PlotSelectedAgeDistr(); furthermore loses arguments plotText ... gains new argument legendName remove arguments ‘main.text’ ‘…’ PlotCorrelation() PlotCorrelation() now based ggplot2 PlotGroupDiffs() receives new argument gene.set allowing users statistically quantify group specific PS/DS differences selected set genes analogously PlotGroupDiffs() function GroupDiffs() also receives new argument gene.set allowing users statistically quantify group specific PS/DS differences selected set genes Fixing wrong x-axis labeling PlotCategoryExpr() type = \"stage-centered\" specified PlotCategoryExpr() now also prints PS/DS absolute frequency distribution selected gene.set","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"mytai-030","dir":"Changelog","previous_headings":"","what":"myTAI 0.3.0","title":"myTAI 0.3.0","text":"CRAN release: 2015-07-31","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"vignettes-0-3-0","dir":"Changelog","previous_headings":"","what":"Vignettes","title":"myTAI 0.3.0","text":"adding examples PlotCategoryExpr() Advanced Vignette adding examples PlotReplicateQuality() Expression vignette","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"new-functions-0-3-0","dir":"Changelog","previous_headings":"","what":"New Functions","title":"myTAI 0.3.0","text":"new function PlotCategoryExpr() allowing users plot expression levels age divergence category boxplot, dot plot violin plot new function PlotReplicateQuality() allowing users visualize quality biological replicates","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"mytai-021","dir":"Changelog","previous_headings":"","what":"myTAI 0.2.1","title":"myTAI 0.2.1","text":"CRAN release: 2015-07-23","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"vignettes-0-2-1","dir":"Changelog","previous_headings":"","what":"Vignettes","title":"myTAI 0.2.1","text":"fixed wrong example Enrichment vignette (https://github.com/HajkD/myTAI/commit/8d52fd60c274361dc9028dec3409abf60a738d8a)","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"updates-0-2-1","dir":"Changelog","previous_headings":"","what":"Updates","title":"myTAI 0.2.1","text":"PlotGeneSet() SelectGeneSet() now new argument use..map specifying whether instead using standard ExpressionSet Phylostratigraphic Map Divergene Map passed function. wrong version edgeR Bioconductor package imported causing version 0.2.0 fail R CMD Check unix based systems","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"mytai-020","dir":"Changelog","previous_headings":"","what":"myTAI 0.2.0","title":"myTAI 0.2.0","text":"CRAN release: 2015-07-10","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"vignettes-0-2-0","dir":"Changelog","previous_headings":"","what":"Vignettes","title":"myTAI 0.2.0","text":"adding new vignette Taxonomy providing spep step instructions retrieving taxonomic information organism interest adding new vignette Expression Analysis providing use cases perform gene expression data analysis myTAI adding new vignette Enrichment providing step--step instructions perform PS DS enrichment analyses PlotEnrichment() adding examples pStrata(), pMatrix(), pTAI(), pTDI(), PlotContribution() Introduction Vignette","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"new-functions-0-2-0","dir":"Changelog","previous_headings":"","what":"New Functions","title":"myTAI 0.2.0","text":"new function taxonomy() allows users retrieve taxonomic information organism interest; function taken biomartr package removed biomartr afterwards. Please notice, myTAI version 0.1.0 Introduction vignette referenced taxonomy() function biomartr. longer case (since myTAI version 0.2.0), now taxonomy() implemented myTAI. new taxonomy() function based powerful R package taxize. new function SelectGeneSet() allows users fastly select subset genes ExpressionSet new function DiffGenes() allows users perform differential gene expression analysis ExpressionSet objects new function EnrichmentTest() allows users perform Fisher’s exact test based enrichment analysis underrepresented Phylostrata Divergence Strata within given gene set without plot result new function PlotGeneSet() allows users visualize expression profiles given gene set new function PlotEnrichment() allows users visualize Phylostratum Divergence Stratum enrichment given Gene Set well computing Fisher’s exact test quantify statistical significance enrichment new function PlotContribution() allows users visualize Phylostratum Divergence Stratum contribution global TAI/TDI pattern new function pTAI() allows users compute phylostratum contribution global TAI pattern new function pTDI() allows users compute divergence stratum contribution global TDI pattern","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"updates-0-2-0","dir":"Changelog","previous_headings":"","what":"Updates","title":"myTAI 0.2.0","text":"FilterRNASeqCT() renamed Expressed() allowing users apply filter function RNA-Seq data well microarray data PlotRE() PlotMeans() now based colors RColorBrewer package (default) PlotRE() PlotMeans() now new argument colors allowing unsers choose custom colors visualized relative mean expression profiles geom.mean() harm.mean() now external functions accessible myTAI user","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"mytai-010","dir":"Changelog","previous_headings":"","what":"myTAI 0.1.0","title":"myTAI 0.1.0","text":"CRAN release: 2015-05-24","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"main-news-0-1-0","dir":"Changelog","previous_headings":"","what":"Main News","title":"myTAI 0.1.0","text":"now functions unit tests","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"new-functions-0-1-0","dir":"Changelog","previous_headings":"","what":"New Functions","title":"myTAI 0.1.0","text":"new function pStrata() allows users compute partial TAI/TDI values Phylostrata Divergence Strata new function CollapseReplicates() allows users combine replicate expression levels ExpressionSet objects new function FilterRNASeqCT() allows users filter expression levels ExpressionSet objects deriving RNA-Seq count tables","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"updates-0-1-0","dir":"Changelog","previous_headings":"","what":"Updates","title":"myTAI 0.1.0","text":"function MatchMap() now receives new argument remove.duplicates allowing users delete duplicate gene ids (might stored input PhyoMap DivergenceMap) process matching Map ExpressionSet FlatLineTest(), ReductiveHourglassTest(), EarlyConservationTest(), PlotPattern() implement new argument custom.perm.matrix allowing users pass (custom) permutation matrix corresponding function. subsequent test statistics p-value/std.dev computations based custom permutation matrix EarlyConservationTest() ReductiveHourglassTest() now new parameter gof.warning allowing users choose whether non significant goodness fit results printed warning now specifying TestStatistic = NULL PlotPattern() TAI/TDI profile drawn (without performing test statistics); equavalent performing: plot(TAI(PhyloExpressionSetExample) function combinatorialSignificance() now named CombinatorialSignificance() changing title description myTAI package minor changes vignettes within documentation functions","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"mytai-002","dir":"Changelog","previous_headings":"","what":"myTAI 0.0.2","title":"myTAI 0.0.2","text":"CRAN release: 2014-12-27","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"new-features-in-v-0-0-2","dir":"Changelog","previous_headings":"","what":"New Features in v. 0.0.2","title":"myTAI 0.0.2","text":"combinatorialSignificance(), FlatLineTest(), ReductiveHourglassTest(), EarlyConservationTest() now support multicore processing MatchMap() entirely rewritten now based dplyr; additionally now new argument accumulate allows accumulate multiple expression levels unique expressiion level unique gene id","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"vignettes-0-0-2","dir":"Changelog","previous_headings":"New Features in v. 0.0.2","what":"Vignettes","title":"myTAI 0.0.2","text":"three Vignettes: Introduction, Intermediate, Advanced updated extended.","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"bug-fixes-0-0-2","dir":"Changelog","previous_headings":"New Features in v. 0.0.2","what":"Bug Fixes","title":"myTAI 0.0.2","text":"two small bugs ReductiveHourglassTest() EarlyConservationTest() fixed caused instead displaying 3 4 plots (par(mfrow=c(1,3)) par(mfrow=c(2,2))) 1 plot generated small bug PlotMeans() caused visualization wrong y-axis label plotting one group Phylostrata Divergence Strata","code":""},{"path":"https://drostlab.github.io/myTAI/news/index.html","id":"mytai-001","dir":"Changelog","previous_headings":"","what":"myTAI 0.0.1","title":"myTAI 0.0.1","text":"CRAN release: 2014-11-01 Introducing myTAI 0.0.1: framework perform phylotranscriptomics analyses Evolutionary Developmental Biology research.","code":""}]
