<!DOCTYPE html>
<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Computes overall measures of precision for multiple age estimates made on the same individuals. Ages may be from two or more readers of the same structure, one reader at two or more times, or two or more structures (e.g., scales, spines, otoliths). Measures of precision include ACV (Average Coefficient of Variation), APE (Average Percent Error), AAD (Average Absolute Deviation), and ASD (Average Standard Deviation), and various percentage difference values."><title>Compute measures of precision among sets of ages. — agePrecision • FSA</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Compute measures of precision among sets of ages. — agePrecision"><meta property="og:description" content="Computes overall measures of precision for multiple age estimates made on the same individuals. Ages may be from two or more readers of the same structure, one reader at two or more times, or two or more structures (e.g., scales, spines, otoliths). Measures of precision include ACV (Average Coefficient of Variation), APE (Average Percent Error), AAD (Average Absolute Deviation), and ASD (Average Standard Deviation), and various percentage difference values."><meta property="og:image" content="https://fishr-core-team.github.io/FSA/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
<![endif]--></head><body>
    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
    

    <nav class="navbar fixed-top navbar-dark navbar-expand-lg bg-primary"><div class="container">
    
    <a class="navbar-brand me-2" href="../index.html">FSA</a>

    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.9.5</small>

    
    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
      <span class="navbar-toggler-icon"></span>
    </button>

    <div id="navbar" class="collapse navbar-collapse ms-3">
      <ul class="navbar-nav me-auto"><li class="active nav-item">
  <a class="nav-link" href="../reference/index.html">Reference</a>
</li>
      </ul><form class="form-inline my-2 my-lg-0" role="search">
        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>

      <ul class="navbar-nav"><li class="nav-item">
  <a class="nav-link" href="../news/index.html">
    <span class="fa fa-newspaper"></span>
     
  </a>
</li>
<li class="nav-item">
  <a class="nav-link" href="../index.html">
    <span class="fa fa-home fa"></span>
     
  </a>
</li>
<li class="nav-item">
  <a class="external-link nav-link" href="https://github.com/fishR-Core-Team/FSA">
    <span class="fa fa-github fa"></span>
     
  </a>
</li>
      </ul></div>

    
  </div>
</nav><div class="container template-reference-topic">
<div class="row">
  <main id="main" class="col-md-9"><div class="page-header">
      <img src="../logo.png" class="logo" alt=""><h1>Compute measures of precision among sets of ages.</h1>
      <small class="dont-index">Source: <a href="https://github.com/fishR-Core-Team/FSA/blob/HEAD/R/ageComparisons.R" class="external-link"><code>R/ageComparisons.R</code></a></small>
      <div class="d-none name"><code>agePrecision.Rd</code></div>
    </div>

    <div class="ref-description section level2">
    <p>Computes overall measures of precision for multiple age estimates made on the same individuals. Ages may be from two or more readers of the same structure, one reader at two or more times, or two or more structures (e.g., scales, spines, otoliths). Measures of precision include ACV (Average Coefficient of Variation), APE (Average Percent Error), AAD (Average Absolute Deviation), and ASD (Average Standard Deviation), and various percentage difference values.</p>
    </div>

    <div class="section level2">
    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">agePrecision</span><span class="op">(</span><span class="va">formula</span>, <span class="va">data</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># S3 method for agePrec</span></span>
<span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span></span>
<span>  <span class="va">object</span>,</span>
<span>  what <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"precision"</span>, <span class="st">"difference"</span>, <span class="st">"absolute difference"</span>, <span class="st">"details"</span><span class="op">)</span>,</span>
<span>  percent <span class="op">=</span> <span class="cn">TRUE</span>,</span>
<span>  trunc.diff <span class="op">=</span> <span class="cn">NULL</span>,</span>
<span>  digits <span class="op">=</span> <span class="fl">4</span>,</span>
<span>  show.prec2 <span class="op">=</span> <span class="cn">FALSE</span>,</span>
<span>  <span class="va">...</span></span>
<span><span class="op">)</span></span></code></pre></div>
    </div>

    <div class="section level2">
    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
    <dl><dt>formula</dt>
<dd><p>A formula of the form <code>~var1+var2+var3+...</code> or, alternatively, <code>var1~var2+var3+...</code>, where the <code>varX</code> generically represent the variables that contain the age estimates. The alternative formula allows for similar code as used in <code><a href="ageBias.html">ageBias</a></code> and can have only one variable on the left-hand side.</p></dd>


<dt>data</dt>
<dd><p>A data.frame that minimally contains the variables in <code>formula</code>.</p></dd>


<dt>object</dt>
<dd><p>An object of class <code>agePrec</code>, usually from <code>agePrecision</code>.</p></dd>


<dt>what</dt>
<dd><p>A string (or vector of strings) that indicates what type of summary to print. See details.</p></dd>


<dt>percent</dt>
<dd><p>A logical that indicates whether the difference table (see details) should be represented as percentages (<code>TRUE</code>; default) or frequency (<code>FALSE</code>) of fish.</p></dd>


<dt>trunc.diff</dt>
<dd><p>A single integer that identifies the age for which all values that age and greater are combined into one category. See the examples.</p></dd>


<dt>digits</dt>
<dd><p>A single numeric that indicates the minimum number of digits to print when using <code>summary</code>.</p></dd>


<dt>show.prec2</dt>
<dd><p>A logical that indicates whether the precision metrics that use the median (i.e., ACV2 and APE2) should be shown when only two age estimates were made (in this instance they will be exactly equal to ACV and APE). Default is to not show these values in this situation.</p></dd>


<dt>...</dt>
<dd><p>Additional arguments for methods.</p></dd>

</dl></div>
    <div class="section level2">
    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
    

<p>The main function returns a list with the following items:</p><ul><li><p>detail A data.frame with all data given in <code>data</code> and intermediate calculations for each fish. See details</p></li>
<li><p>rawdiff A frequency table of fish by differences for each pair of ages.</p></li>
<li><p>absdiff A frequency table of fish by absolute differences for each pair of ages.</p></li>
<li><p>AAD The average absolute deviation.</p></li>
<li><p>APE The average percent error (using the <b>mean</b> age as the divisor).</p></li>
<li><p>APE2 The average percent error (using the <b>median</b> age as the divisor).</p></li>
<li><p>ASD The average standard deviation.</p></li>
<li><p>ACV The average coefficient of variation (using the <b>mean</b> age as the divisor).</p></li>
<li><p>ACV2 The average coefficient of variation (using the <b>median</b> age as the divisor).</p></li>
<li><p>AD The average index of precision.</p></li>
<li><p>R The number of readings for each individual fish.</p></li>
<li><p>n Number of fish in <code>data</code>.</p></li>
<li><p>validn Number of fish in <code>data</code> that have non-<code>NA</code> data for all R age estimates.</p></li>
</ul><p>The <code>summary</code> returns the result if <code>what=</code> contains only one item, otherwise it returns nothing. See details for what is printed.</p>
    </div>
    <div class="section level2">
    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
    <p>If <code>what="precision"</code> in <code>summary</code> then a summary table that contains the following items will be printed:</p><ul><li><p>n Number of fish in <code>data</code>.</p></li>
<li><p>validn Number of fish in <code>data</code> that have non-<code>NA</code> data for all R age estimates.</p></li>
<li><p>R Number of age estimates given in <code>formula</code>.</p></li>
<li><p>PercAgree The percentage of fish for which all age estimates perfectly agree.</p></li>
<li><p>ASD The average (across all fish) standard deviation of ages within a fish.</p></li>
<li><p>ACV The average (across all fish) coefficient of variation of ages within a fish using the <b>mean</b> as the divisor. See the <a href="https://fishr-core-team.github.io/fishR/pages/books.html#introductory-fisheries-analyses-with-r" class="external-link">IFAR chapter</a> for calculation details.</p></li>
<li><p>ACV2 The average (across all fish) coefficient of variation of ages within a fish using the <b>median</b> as the divisor. This will only be shown if R&gt;2 or <code>show.prec2=TRUE</code>.</p></li>
<li><p>AAD The average (across all fish) absolute deviation of ages within a fish.</p></li>
<li><p>APE The average (across all fish) percent error of ages within a fish using the <b>mean</b> as the divisor. See the <a href="https://fishr-core-team.github.io/fishR/pages/books.html#introductory-fisheries-analyses-with-r" class="external-link">IFAR chapter</a> for calculation details.</p></li>
<li><p>APE2 The average (across all fish) percent error of ages within a fish using the <b>median</b> as the divisor. This will only be shown if R&gt;2 or <code>show.prec2=TRUE</code>.</p></li>
<li><p>AD The average (across all fish) index of precision (D).</p></li>
</ul><p>Note that ACV2 and APE2 will not be printed when <code>what="precision"</code> if only two sets of ages are given (because mean=median such that ACV=ACV2 and APE=APE2).
If <code>what="difference"</code> is used in <code>summary</code>, then a table that describes either the percentage (if <code>percent=TRUE</code>, DEFAULT) or frequency of fish by the difference in paired age estimates. This table has one row for each possible pair of age estimates.</p>
<p>If <code>what="absolute difference"</code> is used in <code>summary</code>, then a table that describes either the percentage (if <code>percent=TRUE</code>, DEFAULT) or frequency of fish by the absolute value of the difference in paired age estimates. This table has one row for each possible pair of age estimates. The “1” column, for example, represents age estimates that disagree by one year (in either direction).</p>
<p>If <code>what="detail"</code> is used in <code>summary</code>, then a data.frame of the original <code>data</code> along with the intermediate calculations of the mean age, median age, modal age (will be <code>NA</code> if a mode does not exist (e.g., all different ages) or multiple modes exist), standard deviation of age (SD), coefficient of variation using the mean as the divisor (CV), coefficient of variation using the median as the divisor (CV2), absolute deviation using the mean as the divisor (AD), absolute deviation using the median as the divisor (AD2), average percent error (PE), and index of precision (D) for each individual will be printed.</p>
<p>All percentage calculations above use the <code>validn</code> value in the denominator.</p>
    </div>
    <div class="section level2">
    <h2 id="testing">Testing<a class="anchor" aria-label="anchor" href="#testing"></a></h2>
    <p>Tested all precision results against published results in Herbst and Marsden (2011) for the <code><a href="WhitefishLC.html">WhitefishLC</a></code> data and the results for the <code><a href="https://fishr-core-team.github.io/FSAdata/reference/AlewifeLH.html">AlewifeLH</a></code> data set from <span class="pkg">FSAdata</span> against results from the online resource at http://www.nefsc.noaa.gov/fbp/age-prec/.</p>
    </div>
    <div class="section level2">
    <h2 id="ifar-chapter">IFAR Chapter<a class="anchor" aria-label="anchor" href="#ifar-chapter"></a></h2>
    <p>4-Age Comparisons.</p>
    </div>
    <div class="section level2">
    <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
    <p>Ogle, D.H. 2016. <a href="https://fishr-core-team.github.io/fishR/pages/books.html#introductory-fisheries-analyses-with-r" class="external-link">Introductory Fisheries Analyses with R</a>. Chapman &amp; Hall/CRC, Boca Raton, FL.</p>
<p>Beamish, R.J. and D.A. Fournier. 1981. A method for comparing the precision of a set of age determinations. Canadian Journal of Fisheries and Aquatic Sciences 38:982-983. [Was (is?) available from http://www.pac.dfo-mpo.gc.ca/science/people-gens/beamish/PDF_files/compareagecjfas1981.pdf.]</p>
<p>Campana, S.E. 1982. Accuracy, precision and quality control in age determination, including a review of the use and abuse of age validation methods. Journal of Fish Biology 59:197-242. [Was (is?) available from http://www.denix.osd.mil/nr/crid/Coral_Reef_Iniative_Database/References_for_Reef_Assessment_files/Campana,%202001.pdf.]</p>
<p>Campana, S.E., M.C. Annand, and J.I. McMillan. 1995. Graphical and statistical methods for determining the consistency of age determinations. Transactions of the American Fisheries Society 124:131-138. [Was (is?) available from http://www.bio.gc.ca/otoliths/documents/Campana%20et%20al%201995%20TAFS.pdf.]</p>
<p>Chang, W.Y.B. 1982. A statistical method for evaluating the reproducibility of age determination. Canadian Journal of Fisheries and Aquatic Sciences 39:1208-1210. [Was (is?) available from http://www.nrcresearchpress.com/doi/abs/10.1139/f82-158.]</p>
<p>McBride, R.S. 2015. Diagnosis of paired age agreement: A simulation approach of accuracy and precision effects. ICES Journal of Marine Science, 72:2149-2167.</p>
    </div>
    <div class="section level2">
    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
    <div class="dont-index"><p>See <code><a href="ageBias.html">ageBias</a></code> for computation of the full age agreement table, along with tests and plots of age bias.</p></div>
    </div>
    <div class="section level2">
    <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a></h2>
    <p>Derek H. Ogle, <a href="mailto:DerekOgle51@gmail.com">DerekOgle51@gmail.com</a></p>
    </div>

    <div class="section level2">
    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co">## Example with just two age estimates</span></span></span>
<span class="r-in"><span><span class="va">ap1</span> <span class="op">&lt;-</span> <span class="fu">agePrecision</span><span class="op">(</span><span class="op">~</span><span class="va">otolithC</span><span class="op">+</span><span class="va">scaleC</span>,data<span class="op">=</span><span class="va">WhitefishLC</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">ap1</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Precision summary statistics</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>    n validn R PercAgree   ASD   ACV   AAD   APE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  151    151 2     19.87 1.541 21.11 1.089 14.93</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Percentage of fish by absolute differences in ages</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  between pairs of estimates</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>       0       1       2       3       4       5       6       7       8       9 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 19.8675 30.4636 16.5563 13.9073  5.9603  3.3113  5.2980  1.9868  1.3245  0.0000 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span>      10      11      12      13 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  0.0000  0.6623  0.0000  0.6623 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Percentage of fish by differences in ages</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  between pairs of estimates</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>      -3      -2      -1       0       1       2       3       4       5       6 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  2.6490  0.6623 10.5960 19.8675 19.8675 15.8940 11.2583  5.9603  3.3113  5.2980 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span>       7       8       9      10      11      12      13 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  1.9868  1.3245  0.0000  0.0000  0.6623  0.0000  0.6623 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Intermediate calculations for each individual</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>     otolithC scaleC mean median mode     SD     CV    CV2  AD     PE    PE2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1          3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2          3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3          3      6  4.5    4.5   NA 2.1213 47.140 47.140 1.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4          3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5          3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6          6      4  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7         10      7  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8         11      5  8.0    8.0   NA 4.2426 53.033 53.033 3.0 37.500 37.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9          4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 11         1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 12         3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 13         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 14        11      6  8.5    8.5   NA 3.5355 41.595 41.595 2.5 29.412 29.412</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 15        10      6  8.0    8.0   NA 2.8284 35.355 35.355 2.0 25.000 25.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 16        10      6  8.0    8.0   NA 2.8284 35.355 35.355 2.0 25.000 25.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 17        14      6 10.0   10.0   NA 5.6569 56.569 56.569 4.0 40.000 40.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 18        13      6  9.5    9.5   NA 4.9497 52.103 52.103 3.5 36.842 36.842</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 19        13      7 10.0   10.0   NA 4.2426 42.426 42.426 3.0 30.000 30.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 20         7      6  6.5    6.5   NA 0.7071 10.879 10.879 0.5  7.692  7.692</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 21        14      7 10.5   10.5   NA 4.9497 47.140 47.140 3.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 22         9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 23         7      5  6.0    6.0   NA 1.4142 23.570 23.570 1.0 16.667 16.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 24         6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 25         6      3  4.5    4.5   NA 2.1213 47.140 47.140 1.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 26         3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 27         3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 28         6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 29         4      6  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 30         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 31         4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 32         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 33         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 34         4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 35         4      2  3.0    3.0   NA 1.4142 47.140 47.140 1.0 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 36         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 37         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 38         1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 39         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 40         2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 41         2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 42         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 43         8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 44         2      5  3.5    3.5   NA 2.1213 60.609 60.609 1.5 42.857 42.857</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 45         2      3  2.5    2.5   NA 0.7071 28.284 28.284 0.5 20.000 20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 46         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 47         1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 48         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 49         8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 50         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 51         2      2  2.0    2.0    2 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 52         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 53         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 54         8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 55         4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 56         6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 57         7      5  6.0    6.0   NA 1.4142 23.570 23.570 1.0 16.667 16.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 58         2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 59         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 60         2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 61         1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 62         5      4  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 63         5      4  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 64         4      5  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 65         5      6  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 66        18      7 12.5   12.5   NA 7.7782 62.225 62.225 5.5 44.000 44.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 67         7      8  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 68         9      8  8.5    8.5   NA 0.7071  8.319  8.319 0.5  5.882  5.882</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 69         5      4  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 70        10      8  9.0    9.0   NA 1.4142 15.713 15.713 1.0 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 71        12      7  9.5    9.5   NA 3.5355 37.216 37.216 2.5 26.316 26.316</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 72         7      5  6.0    6.0   NA 1.4142 23.570 23.570 1.0 16.667 16.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 73        10      8  9.0    9.0   NA 1.4142 15.713 15.713 1.0 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 74         9      6  7.5    7.5   NA 2.1213 28.284 28.284 1.5 20.000 20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 75        11      7  9.0    9.0   NA 2.8284 31.427 31.427 2.0 22.222 22.222</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 76         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 77         3      1  2.0    2.0   NA 1.4142 70.711 70.711 1.0 50.000 50.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 78        14     13 13.5   13.5   NA 0.7071  5.238  5.238 0.5  3.704  3.704</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 79         8      6  7.0    7.0   NA 1.4142 20.203 20.203 1.0 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 80        12      6  9.0    9.0   NA 4.2426 47.140 47.140 3.0 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 81        11      9 10.0   10.0   NA 1.4142 14.142 14.142 1.0 10.000 10.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 82         9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 83         8      7  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 84         5      8  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 85         8      7  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 86        18     13 15.5   15.5   NA 3.5355 22.810 22.810 2.5 16.129 16.129</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 87        12     10 11.0   11.0   NA 1.4142 12.856 12.856 1.0  9.091  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 88        11      8  9.5    9.5   NA 2.1213 22.330 22.330 1.5 15.789 15.789</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 89         9      8  8.5    8.5   NA 0.7071  8.319  8.319 0.5  5.882  5.882</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 90        11      8  9.5    9.5   NA 2.1213 22.330 22.330 1.5 15.789 15.789</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 91        13      9 11.0   11.0   NA 2.8284 25.713 25.713 2.0 18.182 18.182</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 92         9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 93        10      7  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 94         4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 95         6      4  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 96         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 97         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 98         6      6  6.0    6.0    6 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 99        11      7  9.0    9.0   NA 2.8284 31.427 31.427 2.0 22.222 22.222</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 100        8      6  7.0    7.0   NA 1.4142 20.203 20.203 1.0 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 101        8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 102        5      6  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 103        6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 104        6      4  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 105        9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 106       13     10 11.5   11.5   NA 2.1213 18.446 18.446 1.5 13.043 13.043</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 107        9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 108       12      7  9.5    9.5   NA 3.5355 37.216 37.216 2.5 26.316 26.316</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 109        5      5  5.0    5.0    5 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 110        4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 111        7      7  7.0    7.0    7 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 112        4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 113        4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 114       10      7  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 115        7      6  6.5    6.5   NA 0.7071 10.879 10.879 0.5  7.692  7.692</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 116        5      5  5.0    5.0    5 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 117       17      9 13.0   13.0   NA 5.6569 43.514 43.514 4.0 30.769 30.769</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 118        7      6  6.5    6.5   NA 0.7071 10.879 10.879 0.5  7.692  7.692</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 119       10      8  9.0    9.0   NA 1.4142 15.713 15.713 1.0 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 120       11      8  9.5    9.5   NA 2.1213 22.330 22.330 1.5 15.789 15.789</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 121       12      8 10.0   10.0   NA 2.8284 28.284 28.284 2.0 20.000 20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 122        4      5  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 123        8      7  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 124       12      9 10.5   10.5   NA 2.1213 20.203 20.203 1.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 125       17     11 14.0   14.0   NA 4.2426 30.305 30.305 3.0 21.429 21.429</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 126       13     13 13.0   13.0   13 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 127       16     13 14.5   14.5   NA 2.1213 14.630 14.630 1.5 10.345 10.345</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 128       17     11 14.0   14.0   NA 4.2426 30.305 30.305 3.0 21.429 21.429</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 129       15     12 13.5   13.5   NA 2.1213 15.713 15.713 1.5 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 130        4      5  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 131       13     11 12.0   12.0   NA 1.4142 11.785 11.785 1.0  8.333  8.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 132       16     10 13.0   13.0   NA 4.2426 32.636 32.636 3.0 23.077 23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 133        7     10  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 134        6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 135       16     12 14.0   14.0   NA 2.8284 20.203 20.203 2.0 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 136       15     11 13.0   13.0   NA 2.8284 21.757 21.757 2.0 15.385 15.385</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 137       15     14 14.5   14.5   NA 0.7071  4.877  4.877 0.5  3.448  3.448</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 138        8      6  7.0    7.0   NA 1.4142 20.203 20.203 1.0 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 139       10      7  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 140        8      8  8.0    8.0    8 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 141       19     14 16.5   16.5   NA 3.5355 21.427 21.427 2.5 15.152 15.152</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 142        9      8  8.5    8.5   NA 0.7071  8.319  8.319 0.5  5.882  5.882</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 143       12     12 12.0   12.0   12 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 144        8      6  7.0    7.0   NA 1.4142 20.203 20.203 1.0 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 145       15      9 12.0   12.0   NA 4.2426 35.355 35.355 3.0 25.000 25.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 146        9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 147       17     13 15.0   15.0   NA 2.8284 18.856 18.856 2.0 13.333 13.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 148       23     10 16.5   16.5   NA 9.1924 55.711 55.711 6.5 39.394 39.394</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 149       16     15 15.5   15.5   NA 0.7071  4.562  4.562 0.5  3.226  3.226</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 150       15      9 12.0   12.0   NA 4.2426 35.355 35.355 3.0 25.000 25.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 151       13      6  9.5    9.5   NA 4.9497 52.103 52.103 3.5 36.842 36.842</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>          D</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1    0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2   14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3   33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4   14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5    0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6   20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7   17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8   37.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9   14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 11  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 12  14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 13   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 14  29.412</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 15  25.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 16  25.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 17  40.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 18  36.842</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 19  30.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 20   7.692</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 21  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 22  12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 23  16.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 24   9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 25  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 26  14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 27  14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 28   9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 29  20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 30   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 31   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 32   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 33   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 34   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 35  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 36  14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 37   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 38  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 39   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 40  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 41  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 42  14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 43  23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 44  42.857</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 45  20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 46   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 47  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 48   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 49  23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 50  14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 51   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 52   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 53   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 54  23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 55   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 56   9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 57  16.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 58  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 59   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 60  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 61  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 62  11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 63  11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 64  11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 65   9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 66  44.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 67   6.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 68   5.882</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 69  11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 70  11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 71  26.316</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 72  16.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 73  11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 74  20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 75  22.222</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 76   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 77  50.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 78   3.704</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 79  14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 80  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 81  10.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 82  12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 83   6.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 84  23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 85   6.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 86  16.129</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 87   9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 88  15.789</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 89   5.882</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 90  15.789</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 91  18.182</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 92  12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 93  17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 94   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 95  20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 96  14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 97  14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 98   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 99  22.222</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 100 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 101 23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 102  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 103  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 104 20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 105 12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 106 13.043</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 107 12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 108 26.316</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 109  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 110  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 111  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 112  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 113  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 114 17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 115  7.692</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 116  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 117 30.769</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 118  7.692</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 119 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 120 15.789</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 121 20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 122 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 123  6.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 124 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 125 21.429</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 126  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 127 10.345</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 128 21.429</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 129 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 130 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 131  8.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 132 23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 133 17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 134  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 135 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 136 15.385</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 137  3.448</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 138 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 139 17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 140  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 141 15.152</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 142  5.882</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 143  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 144 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 145 25.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 146 12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 147 13.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 148 39.394</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 149  3.226</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 150 25.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 151 36.842</span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">ap1</span>,what<span class="op">=</span><span class="st">"precision"</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span>    n validn R PercAgree   ASD   ACV   AAD   APE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  151    151 2     19.87 1.541 21.11 1.089 14.93</span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">ap1</span>,what<span class="op">=</span><span class="st">"difference"</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span>      -3      -2      -1       0       1       2       3       4       5       6 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  2.6490  0.6623 10.5960 19.8675 19.8675 15.8940 11.2583  5.9603  3.3113  5.2980 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span>       7       8       9      10      11      12      13 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  1.9868  1.3245  0.0000  0.0000  0.6623  0.0000  0.6623 </span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">ap1</span>,what<span class="op">=</span><span class="st">"difference"</span>,percent<span class="op">=</span><span class="cn">FALSE</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> -3 -2 -1  0  1  2  3  4  5  6  7  8  9 10 11 12 13 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  4  1 16 30 30 24 17  9  5  8  3  2  0  0  1  0  1 </span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">ap1</span>,what<span class="op">=</span><span class="st">"absolute"</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span>       0       1       2       3       4       5       6       7       8       9 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 19.8675 30.4636 16.5563 13.9073  5.9603  3.3113  5.2980  1.9868  1.3245  0.0000 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span>      10      11      12      13 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  0.0000  0.6623  0.0000  0.6623 </span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">ap1</span>,what<span class="op">=</span><span class="st">"absolute"</span>,percent<span class="op">=</span><span class="cn">FALSE</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  0  1  2  3  4  5  6  7  8  9 10 11 12 13 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 30 46 25 21  9  5  8  3  2  0  0  1  0  1 </span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">ap1</span>,what<span class="op">=</span><span class="st">"absolute"</span>,trunc.diff<span class="op">=</span><span class="fl">4</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span>     0     1     2     3    4+ </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 19.87 30.46 16.56 13.91 19.21 </span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">ap1</span>,what<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"precision"</span>,<span class="st">"difference"</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Precision summary statistics</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>    n validn R PercAgree   ASD   ACV   AAD   APE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  151    151 2     19.87 1.541 21.11 1.089 14.93</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Percentage of fish by differences in ages</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  between pairs of estimates</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>      -3      -2      -1       0       1       2       3       4       5       6 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  2.6490  0.6623 10.5960 19.8675 19.8675 15.8940 11.2583  5.9603  3.3113  5.2980 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span>       7       8       9      10      11      12      13 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  1.9868  1.3245  0.0000  0.0000  0.6623  0.0000  0.6623 </span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">ap1</span>,what<span class="op">=</span><span class="st">"detail"</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span>     otolithC scaleC mean median mode     SD     CV    CV2  AD     PE    PE2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1          3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2          3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3          3      6  4.5    4.5   NA 2.1213 47.140 47.140 1.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4          3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5          3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6          6      4  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7         10      7  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8         11      5  8.0    8.0   NA 4.2426 53.033 53.033 3.0 37.500 37.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9          4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 11         1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 12         3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 13         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 14        11      6  8.5    8.5   NA 3.5355 41.595 41.595 2.5 29.412 29.412</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 15        10      6  8.0    8.0   NA 2.8284 35.355 35.355 2.0 25.000 25.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 16        10      6  8.0    8.0   NA 2.8284 35.355 35.355 2.0 25.000 25.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 17        14      6 10.0   10.0   NA 5.6569 56.569 56.569 4.0 40.000 40.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 18        13      6  9.5    9.5   NA 4.9497 52.103 52.103 3.5 36.842 36.842</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 19        13      7 10.0   10.0   NA 4.2426 42.426 42.426 3.0 30.000 30.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 20         7      6  6.5    6.5   NA 0.7071 10.879 10.879 0.5  7.692  7.692</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 21        14      7 10.5   10.5   NA 4.9497 47.140 47.140 3.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 22         9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 23         7      5  6.0    6.0   NA 1.4142 23.570 23.570 1.0 16.667 16.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 24         6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 25         6      3  4.5    4.5   NA 2.1213 47.140 47.140 1.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 26         3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 27         3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 28         6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 29         4      6  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 30         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 31         4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 32         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 33         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 34         4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 35         4      2  3.0    3.0   NA 1.4142 47.140 47.140 1.0 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 36         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 37         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 38         1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 39         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 40         2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 41         2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 42         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 43         8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 44         2      5  3.5    3.5   NA 2.1213 60.609 60.609 1.5 42.857 42.857</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 45         2      3  2.5    2.5   NA 0.7071 28.284 28.284 0.5 20.000 20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 46         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 47         1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 48         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 49         8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 50         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 51         2      2  2.0    2.0    2 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 52         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 53         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 54         8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 55         4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 56         6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 57         7      5  6.0    6.0   NA 1.4142 23.570 23.570 1.0 16.667 16.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 58         2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 59         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 60         2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 61         1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 62         5      4  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 63         5      4  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 64         4      5  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 65         5      6  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 66        18      7 12.5   12.5   NA 7.7782 62.225 62.225 5.5 44.000 44.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 67         7      8  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 68         9      8  8.5    8.5   NA 0.7071  8.319  8.319 0.5  5.882  5.882</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 69         5      4  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 70        10      8  9.0    9.0   NA 1.4142 15.713 15.713 1.0 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 71        12      7  9.5    9.5   NA 3.5355 37.216 37.216 2.5 26.316 26.316</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 72         7      5  6.0    6.0   NA 1.4142 23.570 23.570 1.0 16.667 16.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 73        10      8  9.0    9.0   NA 1.4142 15.713 15.713 1.0 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 74         9      6  7.5    7.5   NA 2.1213 28.284 28.284 1.5 20.000 20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 75        11      7  9.0    9.0   NA 2.8284 31.427 31.427 2.0 22.222 22.222</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 76         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 77         3      1  2.0    2.0   NA 1.4142 70.711 70.711 1.0 50.000 50.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 78        14     13 13.5   13.5   NA 0.7071  5.238  5.238 0.5  3.704  3.704</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 79         8      6  7.0    7.0   NA 1.4142 20.203 20.203 1.0 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 80        12      6  9.0    9.0   NA 4.2426 47.140 47.140 3.0 33.333 33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 81        11      9 10.0   10.0   NA 1.4142 14.142 14.142 1.0 10.000 10.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 82         9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 83         8      7  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 84         5      8  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 85         8      7  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 86        18     13 15.5   15.5   NA 3.5355 22.810 22.810 2.5 16.129 16.129</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 87        12     10 11.0   11.0   NA 1.4142 12.856 12.856 1.0  9.091  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 88        11      8  9.5    9.5   NA 2.1213 22.330 22.330 1.5 15.789 15.789</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 89         9      8  8.5    8.5   NA 0.7071  8.319  8.319 0.5  5.882  5.882</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 90        11      8  9.5    9.5   NA 2.1213 22.330 22.330 1.5 15.789 15.789</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 91        13      9 11.0   11.0   NA 2.8284 25.713 25.713 2.0 18.182 18.182</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 92         9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 93        10      7  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 94         4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 95         6      4  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 96         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 97         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 98         6      6  6.0    6.0    6 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 99        11      7  9.0    9.0   NA 2.8284 31.427 31.427 2.0 22.222 22.222</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 100        8      6  7.0    7.0   NA 1.4142 20.203 20.203 1.0 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 101        8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 102        5      6  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 103        6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 104        6      4  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 105        9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 106       13     10 11.5   11.5   NA 2.1213 18.446 18.446 1.5 13.043 13.043</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 107        9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 108       12      7  9.5    9.5   NA 3.5355 37.216 37.216 2.5 26.316 26.316</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 109        5      5  5.0    5.0    5 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 110        4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 111        7      7  7.0    7.0    7 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 112        4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 113        4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 114       10      7  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 115        7      6  6.5    6.5   NA 0.7071 10.879 10.879 0.5  7.692  7.692</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 116        5      5  5.0    5.0    5 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 117       17      9 13.0   13.0   NA 5.6569 43.514 43.514 4.0 30.769 30.769</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 118        7      6  6.5    6.5   NA 0.7071 10.879 10.879 0.5  7.692  7.692</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 119       10      8  9.0    9.0   NA 1.4142 15.713 15.713 1.0 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 120       11      8  9.5    9.5   NA 2.1213 22.330 22.330 1.5 15.789 15.789</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 121       12      8 10.0   10.0   NA 2.8284 28.284 28.284 2.0 20.000 20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 122        4      5  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 123        8      7  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 124       12      9 10.5   10.5   NA 2.1213 20.203 20.203 1.5 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 125       17     11 14.0   14.0   NA 4.2426 30.305 30.305 3.0 21.429 21.429</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 126       13     13 13.0   13.0   13 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 127       16     13 14.5   14.5   NA 2.1213 14.630 14.630 1.5 10.345 10.345</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 128       17     11 14.0   14.0   NA 4.2426 30.305 30.305 3.0 21.429 21.429</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 129       15     12 13.5   13.5   NA 2.1213 15.713 15.713 1.5 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 130        4      5  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 131       13     11 12.0   12.0   NA 1.4142 11.785 11.785 1.0  8.333  8.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 132       16     10 13.0   13.0   NA 4.2426 32.636 32.636 3.0 23.077 23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 133        7     10  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 134        6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 135       16     12 14.0   14.0   NA 2.8284 20.203 20.203 2.0 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 136       15     11 13.0   13.0   NA 2.8284 21.757 21.757 2.0 15.385 15.385</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 137       15     14 14.5   14.5   NA 0.7071  4.877  4.877 0.5  3.448  3.448</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 138        8      6  7.0    7.0   NA 1.4142 20.203 20.203 1.0 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 139       10      7  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 140        8      8  8.0    8.0    8 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 141       19     14 16.5   16.5   NA 3.5355 21.427 21.427 2.5 15.152 15.152</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 142        9      8  8.5    8.5   NA 0.7071  8.319  8.319 0.5  5.882  5.882</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 143       12     12 12.0   12.0   12 0.0000  0.000  0.000 0.0  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 144        8      6  7.0    7.0   NA 1.4142 20.203 20.203 1.0 14.286 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 145       15      9 12.0   12.0   NA 4.2426 35.355 35.355 3.0 25.000 25.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 146        9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 147       17     13 15.0   15.0   NA 2.8284 18.856 18.856 2.0 13.333 13.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 148       23     10 16.5   16.5   NA 9.1924 55.711 55.711 6.5 39.394 39.394</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 149       16     15 15.5   15.5   NA 0.7071  4.562  4.562 0.5  3.226  3.226</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 150       15      9 12.0   12.0   NA 4.2426 35.355 35.355 3.0 25.000 25.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 151       13      6  9.5    9.5   NA 4.9497 52.103 52.103 3.5 36.842 36.842</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>          D</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1    0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2   14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3   33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4   14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5    0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6   20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7   17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8   37.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9   14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 11  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 12  14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 13   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 14  29.412</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 15  25.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 16  25.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 17  40.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 18  36.842</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 19  30.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 20   7.692</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 21  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 22  12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 23  16.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 24   9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 25  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 26  14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 27  14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 28   9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 29  20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 30   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 31   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 32   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 33   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 34   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 35  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 36  14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 37   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 38  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 39   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 40  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 41  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 42  14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 43  23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 44  42.857</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 45  20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 46   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 47  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 48   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 49  23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 50  14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 51   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 52   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 53   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 54  23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 55   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 56   9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 57  16.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 58  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 59   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 60  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 61  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 62  11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 63  11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 64  11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 65   9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 66  44.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 67   6.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 68   5.882</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 69  11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 70  11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 71  26.316</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 72  16.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 73  11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 74  20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 75  22.222</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 76   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 77  50.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 78   3.704</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 79  14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 80  33.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 81  10.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 82  12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 83   6.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 84  23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 85   6.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 86  16.129</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 87   9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 88  15.789</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 89   5.882</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 90  15.789</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 91  18.182</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 92  12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 93  17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 94   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 95  20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 96  14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 97  14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 98   0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 99  22.222</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 100 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 101 23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 102  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 103  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 104 20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 105 12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 106 13.043</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 107 12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 108 26.316</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 109  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 110  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 111  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 112  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 113  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 114 17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 115  7.692</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 116  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 117 30.769</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 118  7.692</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 119 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 120 15.789</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 121 20.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 122 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 123  6.667</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 124 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 125 21.429</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 126  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 127 10.345</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 128 21.429</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 129 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 130 11.111</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 131  8.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 132 23.077</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 133 17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 134  9.091</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 135 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 136 15.385</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 137  3.448</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 138 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 139 17.647</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 140  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 141 15.152</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 142  5.882</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 143  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 144 14.286</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 145 25.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 146 12.500</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 147 13.333</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 148 39.394</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 149  3.226</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 150 25.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 151 36.842</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/barplot.html" class="external-link">barplot</a></span><span class="op">(</span><span class="va">ap1</span><span class="op">$</span><span class="va">rawdiff</span>,ylab<span class="op">=</span><span class="st">"Frequency"</span>,xlab<span class="op">=</span><span class="st">"Otolith - Scale Age"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="agePrecision-1.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">AD</span><span class="op">~</span><span class="va">mean</span>,data<span class="op">=</span><span class="va">ap1</span><span class="op">$</span><span class="va">detail</span>,pch<span class="op">=</span><span class="fl">19</span>,col<span class="op">=</span><span class="fu"><a href="col2rgbt.html">col2rgbt</a></span><span class="op">(</span><span class="st">"black"</span>,<span class="fl">1</span><span class="op">/</span><span class="fl">5</span><span class="op">)</span>,</span></span>
<span class="r-in"><span>     xlab<span class="op">=</span><span class="st">"Mean Age"</span>,ylab<span class="op">=</span><span class="st">"Absolute Deviation Age"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="agePrecision-2.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">SD</span><span class="op">~</span><span class="va">mean</span>,data<span class="op">=</span><span class="va">ap1</span><span class="op">$</span><span class="va">detail</span>,pch<span class="op">=</span><span class="fl">19</span>,col<span class="op">=</span><span class="fu"><a href="col2rgbt.html">col2rgbt</a></span><span class="op">(</span><span class="st">"black"</span>,<span class="fl">1</span><span class="op">/</span><span class="fl">5</span><span class="op">)</span>,</span></span>
<span class="r-in"><span>     xlab<span class="op">=</span><span class="st">"Mean Age"</span>,ylab<span class="op">=</span><span class="st">"Standard deviation Age"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="agePrecision-3.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">SD</span><span class="op">~</span><span class="va">AD</span>,data<span class="op">=</span><span class="va">ap1</span><span class="op">$</span><span class="va">detail</span>,pch<span class="op">=</span><span class="fl">19</span>,col<span class="op">=</span><span class="fu"><a href="col2rgbt.html">col2rgbt</a></span><span class="op">(</span><span class="st">"black"</span>,<span class="fl">1</span><span class="op">/</span><span class="fl">5</span><span class="op">)</span>,</span></span>
<span class="r-in"><span>     xlab<span class="op">=</span><span class="st">"Absolute Deviation Age"</span>,ylab<span class="op">=</span><span class="st">"Standard deviation Age"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="agePrecision-4.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">CV</span><span class="op">~</span><span class="va">PE</span>,data<span class="op">=</span><span class="va">ap1</span><span class="op">$</span><span class="va">detail</span>,pch<span class="op">=</span><span class="fl">19</span>,col<span class="op">=</span><span class="fu"><a href="col2rgbt.html">col2rgbt</a></span><span class="op">(</span><span class="st">"black"</span>,<span class="fl">1</span><span class="op">/</span><span class="fl">5</span><span class="op">)</span>,</span></span>
<span class="r-in"><span>     xlab<span class="op">=</span><span class="st">"Percent Error Age"</span>,ylab<span class="op">=</span><span class="st">"Coefficient of Variation Age"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="agePrecision-5.png" alt="" width="700" height="433"></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co">## Example with three age estimates</span></span></span>
<span class="r-in"><span><span class="va">ap2</span> <span class="op">&lt;-</span> <span class="fu">agePrecision</span><span class="op">(</span><span class="op">~</span><span class="va">otolithC</span><span class="op">+</span><span class="va">finrayC</span><span class="op">+</span><span class="va">scaleC</span>,data<span class="op">=</span><span class="va">WhitefishLC</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">ap2</span>,digits<span class="op">=</span><span class="fl">3</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Precision summary statistics</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>    n validn R PercAgree  ASD  ACV ACV2 AAD  APE APE2   AD</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  151    151 3      12.6 1.49 21.8 27.5 1.1 16.2 14.8 12.6</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Percentage of fish by absolute differences in ages</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  between pairs of estimates</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>                          0      1      2      3      4      5      6      7</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> otolithC v. finrayC 24.503 21.192 17.881 11.921  7.285  7.947  3.311  2.649</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> otolithC v. scaleC  19.868 30.464 16.556 13.907  5.960  3.311  5.298  1.987</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> finrayC v. scaleC   40.397 34.437 15.232  5.298  3.974  0.000  0.662  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>                          8      9     10     11     12     13     14</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> otolithC v. finrayC  0.662  1.325  0.000  0.662  0.000  0.000  0.662</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> otolithC v. scaleC   1.325  0.000  0.000  0.662  0.000  0.662  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> finrayC v. scaleC    0.000  0.000  0.000  0.000  0.000  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Percentage of fish by differences in ages</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  between pairs of estimates</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>                        -4     -3     -2     -1      0      1      2      3</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> otolithC - finrayC  0.000  0.000  1.325  3.311 24.503 17.881 16.556 11.921</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> otolithC - scaleC   0.000  2.649  0.662 10.596 19.868 19.868 15.894 11.258</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> finrayC - scaleC    3.311  4.636 12.583 19.868 40.397 14.570  2.649  0.662</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>                         4      5      6      7      8      9     10     11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> otolithC - finrayC  7.285  7.947  3.311  2.649  0.662  1.325  0.000  0.662</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> otolithC - scaleC   5.960  3.311  5.298  1.987  1.325  0.000  0.000  0.662</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> finrayC - scaleC    0.662  0.000  0.662  0.000  0.000  0.000  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>                        12     13     14</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> otolithC - finrayC  0.000  0.000  0.662</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> otolithC - scaleC   0.000  0.662  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> finrayC - scaleC    0.000  0.000  0.000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Intermediate calculations for each individual</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>     otolithC finrayC scaleC  mean median mode    SD    CV    CV2    AD    PE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1          3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2          3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3          3       3      6  4.00      3    3 1.732 43.30  70.71 1.333 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4          3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5          3       4      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6          6       3      4  4.33      4   NA 1.528 35.25  39.53 1.111 25.64</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7         10       6      7  7.67      7   NA 2.082 27.15  31.94 1.556 20.29</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8         11       9      5  8.33      9   NA 3.055 36.66  35.14 2.222 26.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9          4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10         1       1      1  1.00      1    1 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 11         1       2      2  1.67      2    2 0.577 34.64  35.36 0.444 26.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 12         3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 13         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 14        11       8      6  8.33      8   NA 2.517 30.20  31.87 1.778 21.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 15        10       7      6  7.67      7   NA 2.082 27.15  31.94 1.556 20.29</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 16        10       6      6  7.33      6    6 2.309 31.49  47.14 1.778 24.24</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 17        14      12      6 10.67     12   NA 4.163 39.03  37.27 3.111 29.17</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 18        13       6      6  8.33      6    6 4.041 48.50  82.50 3.111 37.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 19        13       8      7  9.33      8   NA 3.215 34.44  45.07 2.444 26.19</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 20         7       6      6  6.33      6    6 0.577  9.12  11.79 0.444  7.02</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 21        14       7      7  9.33      7    7 4.041 43.30  70.71 3.111 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 22         9       6      7  7.33      7   NA 1.528 20.83  22.59 1.111 15.15</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 23         7       4      5  5.33      5   NA 1.528 28.64  31.62 1.111 20.83</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 24         6       6      5  5.67      6    6 0.577 10.19  11.79 0.444  7.84</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 25         6       6      3  5.00      6    6 1.732 34.64  35.36 1.333 26.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 26         3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 27         3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 28         6       4      5  5.00      5   NA 1.000 20.00  20.00 0.667 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 29         4       4      6  4.67      4    4 1.155 24.74  35.36 0.889 19.05</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 30         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 31         4       3      4  3.67      4    4 0.577 15.75  17.68 0.444 12.12</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 32         1       1      1  1.00      1    1 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 33         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 34         4       2      4  3.33      4    4 1.155 34.64  35.36 0.889 26.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 35         4       3      2  3.00      3   NA 1.000 33.33  33.33 0.667 22.22</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 36         4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 37         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 38         1       3      2  2.00      2   NA 1.000 50.00  50.00 0.667 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 39         1       2      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 40         2       1      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 41         2       1      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 42         4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 43         8       6      5  6.33      6   NA 1.528 24.12  26.35 1.111 17.54</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 44         2       3      5  3.33      3   NA 1.528 45.83  52.70 1.111 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 45         2       4      3  3.00      3   NA 1.000 33.33  33.33 0.667 22.22</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 46         3       2      3  2.67      3    3 0.577 21.65  23.57 0.444 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 47         1       1      2  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 48         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 49         8       7      5  6.67      7   NA 1.528 22.91  22.59 1.111 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 50         4       4      3  3.67      4    4 0.577 15.75  17.68 0.444 12.12</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 51         2       2      2  2.00      2    2 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 52         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 53         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 54         8       6      5  6.33      6   NA 1.528 24.12  26.35 1.111 17.54</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 55         4       4      4  4.00      4    4 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 56         6       6      5  5.67      6    6 0.577 10.19  11.79 0.444  7.84</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 57         7       5      5  5.67      5    5 1.155 20.38  28.28 0.889 15.69</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 58         2       1      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 59         1       1      1  1.00      1    1 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 60         2       1      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 61         1       1      2  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 62         5       5      4  4.67      5    5 0.577 12.37  14.14 0.444  9.52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 63         5       4      4  4.33      4    4 0.577 13.32  17.68 0.444 10.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 64         4       4      5  4.33      4    4 0.577 13.32  17.68 0.444 10.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 65         5       3      6  4.67      5   NA 1.528 32.73  31.62 1.111 23.81</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 66        18       7      7 10.67      7    7 6.351 59.54 111.12 4.889 45.83</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 67         7       5      8  6.67      7   NA 1.528 22.91  22.59 1.111 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 68         9       6      8  7.67      8   NA 1.528 19.92  19.76 1.111 14.49</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 69         5       4      4  4.33      4    4 0.577 13.32  17.68 0.444 10.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 70        10       6      8  8.00      8   NA 2.000 25.00  25.00 1.333 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 71        12       7      7  8.67      7    7 2.887 33.31  50.51 2.222 25.64</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 72         7       6      5  6.00      6   NA 1.000 16.67  16.67 0.667 11.11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 73        10       7      8  8.33      8   NA 1.528 18.33  19.76 1.111 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 74         9       5      6  6.67      6   NA 2.082 31.22  37.27 1.556 23.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 75        11       7      7  8.33      7    7 2.309 27.71  40.41 1.778 21.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 76         1       1      1  1.00      1    1 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 77         3       2      1  2.00      2   NA 1.000 50.00  50.00 0.667 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 78        14       9     13 12.00     13   NA 2.646 22.05  22.43 2.000 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 79         8       6      6  6.67      6    6 1.155 17.32  23.57 0.889 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 80        12       7      6  8.33      7   NA 3.215 38.57  51.51 2.444 29.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 81        11       7      9  9.00      9   NA 2.000 22.22  22.22 1.333 14.81</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 82         9       7      7  7.67      7    7 1.155 15.06  20.20 0.889 11.59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 83         8       6      7  7.00      7   NA 1.000 14.29  14.29 0.667  9.52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 84         5       4      8  5.67      5   NA 2.082 36.74  44.72 1.556 27.45</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 85         8       6      7  7.00      7   NA 1.000 14.29  14.29 0.667  9.52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 86        18       9     13 13.33     13   NA 4.509 33.82  34.83 3.111 23.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 87        12       8     10 10.00     10   NA 2.000 20.00  20.00 1.333 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 88        11       5      8  8.00      8   NA 3.000 37.50  37.50 2.000 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 89         9       6      8  7.67      8   NA 1.528 19.92  19.76 1.111 14.49</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 90        11       8      8  9.00      8    8 1.732 19.25  26.52 1.333 14.81</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 91        13       7      9  9.67      9   NA 3.055 31.60  35.14 2.222 22.99</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 92         9       6      7  7.33      7   NA 1.528 20.83  22.59 1.111 15.15</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 93        10       7      7  8.00      7    7 1.732 21.65  30.30 1.333 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 94         4       3      4  3.67      4    4 0.577 15.75  17.68 0.444 12.12</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 95         6       4      4  4.67      4    4 1.155 24.74  35.36 0.889 19.05</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 96         4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 97         4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 98         6       6      6  6.00      6    6 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 99        11       7      7  8.33      7    7 2.309 27.71  40.41 1.778 21.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 100        8       6      6  6.67      6    6 1.155 17.32  23.57 0.889 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 101        8       5      5  6.00      5    5 1.732 28.87  42.43 1.333 22.22</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 102        5       5      6  5.33      5    5 0.577 10.83  14.14 0.444  8.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 103        6       4      5  5.00      5   NA 1.000 20.00  20.00 0.667 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 104        6       4      4  4.67      4    4 1.155 24.74  35.36 0.889 19.05</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 105        9       7      7  7.67      7    7 1.155 15.06  20.20 0.889 11.59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 106       13      10     10 11.00     10   10 1.732 15.75  21.21 1.333 12.12</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 107        9       8      7  8.00      8   NA 1.000 12.50  12.50 0.667  8.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 108       12       7      7  8.67      7    7 2.887 33.31  50.51 2.222 25.64</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 109        5       5      5  5.00      5    5 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 110        4       4      4  4.00      4    4 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 111        7       5      7  6.33      7    7 1.155 18.23  20.20 0.889 14.04</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 112        4       4      4  4.00      4    4 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 113        4       4      4  4.00      4    4 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 114       10       7      7  8.00      7    7 1.732 21.65  30.30 1.333 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 115        7       6      6  6.33      6    6 0.577  9.12  11.79 0.444  7.02</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 116        5       4      5  4.67      5    5 0.577 12.37  14.14 0.444  9.52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 117       17      10      9 12.00     10   NA 4.359 36.32  50.00 3.333 27.78</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 118        7       6      6  6.33      6    6 0.577  9.12  11.79 0.444  7.02</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 119       10       8      8  8.67      8    8 1.155 13.32  17.68 0.889 10.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 120       11       9      8  9.33      9   NA 1.528 16.37  17.57 1.111 11.90</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 121       12       7      8  9.00      8   NA 2.646 29.40  36.44 2.000 22.22</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 122        4       4      5  4.33      4    4 0.577 13.32  17.68 0.444 10.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 123        8       7      7  7.33      7    7 0.577  7.87  10.10 0.444  6.06</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 124       12       7      9  9.33      9   NA 2.517 26.96  28.33 1.778 19.05</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 125       17       9     11 12.33     11   NA 4.163 33.76  40.66 3.111 25.23</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 126       13      11     13 12.33     13   13 1.155  9.36  10.88 0.889  7.21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 127       16      11     13 13.33     13   NA 2.517 18.87  19.61 1.778 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 128       17      11     11 13.00     11   11 3.464 26.65  38.57 2.667 20.51</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 129       15      12     12 13.00     12   12 1.732 13.32  17.68 1.333 10.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 130        4       3      5  4.00      4   NA 1.000 25.00  25.00 0.667 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 131       13       9     11 11.00     11   NA 2.000 18.18  18.18 1.333 12.12</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 132       16      11     10 12.33     11   NA 3.215 26.06  32.78 2.444 19.82</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 133        7       7     10  8.00      7    7 1.732 21.65  30.30 1.333 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 134        6       5      5  5.33      5    5 0.577 10.83  14.14 0.444  8.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 135       16      10     12 12.67     12   NA 3.055 24.12  26.35 2.222 17.54</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 136       15      12     11 12.67     12   NA 2.082 16.43  18.63 1.556 12.28</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 137       15      10     14 13.00     14   NA 2.646 20.35  20.82 2.000 15.38</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 138        8       6      6  6.67      6    6 1.155 17.32  23.57 0.889 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 139       10       6      7  7.67      7   NA 2.082 27.15  31.94 1.556 20.29</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 140        8       5      8  7.00      8    8 1.732 24.74  26.52 1.333 19.05</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 141       19      10     14 14.33     14   NA 4.509 31.46  32.34 3.111 21.71</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 142        9      10      8  9.00      9   NA 1.000 11.11  11.11 0.667  7.41</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 143       12       9     12 11.00     12   12 1.732 15.75  17.68 1.333 12.12</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 144        8       6      6  6.67      6    6 1.155 17.32  23.57 0.889 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 145       15       8      9 10.67      9   NA 3.786 35.49  47.79 2.889 27.08</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 146        9       5      7  7.00      7   NA 2.000 28.57  28.57 1.333 19.05</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 147       17      11     13 13.67     13   NA 3.055 22.35  24.33 2.222 16.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 148       23       9     10 14.00     10   NA 7.810 55.79  92.20 6.000 42.86</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 149       16      14     15 15.00     15   NA 1.000  6.67   6.67 0.667  4.44</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 150       15      10      9 11.33     10   NA 3.215 28.36  36.06 2.444 21.57</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 151       13       8      6  9.00      8   NA 3.606 40.06  47.60 2.667 29.63</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>       PE2     D</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1    0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2   11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3   33.33 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4   11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5   11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6   25.00 20.35</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7   19.05 15.68</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8   22.22 21.17</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9   11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 11  16.67 20.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 12  11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 13   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 14  20.83 17.44</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 15  19.05 15.68</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 16  22.22 18.18</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 17  22.22 22.53</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 18  38.89 28.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 19  25.00 19.88</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 20   5.56  5.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 21  33.33 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 22  14.29 12.03</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 23  20.00 16.54</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 24   5.56  5.88</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 25  16.67 20.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 26  11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 27  11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 28  13.33 11.55</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 29  16.67 14.29</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 30   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 31   8.33  9.09</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 32   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 33   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 34  16.67 20.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 35  22.22 19.25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 36  11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 37   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 38  33.33 28.87</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 39  33.33 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 40  33.33 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 41  33.33 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 42  11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 43  16.67 13.93</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 44  33.33 26.46</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 45  22.22 19.25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 46  11.11 12.50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 47  33.33 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 48   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 49  14.29 13.23</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 50   8.33  9.09</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 51   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 52   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 53   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 54  16.67 13.93</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 55   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 56   5.56  5.88</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 57  13.33 11.76</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 58  33.33 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 59   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 60  33.33 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 61  33.33 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 62   6.67  7.14</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 63   8.33  7.69</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 64   8.33  7.69</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 65  20.00 18.90</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 66  52.38 34.38</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 67  14.29 13.23</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 68  12.50 11.50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 69   8.33  7.69</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 70  16.67 14.43</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 71  23.81 19.23</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 72  11.11  9.62</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 73  12.50 10.58</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 74  22.22 18.03</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 75  19.05 16.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 76   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 77  33.33 28.87</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 78  12.82 12.73</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 79  11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 80  28.57 22.27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 81  14.81 12.83</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 82   9.52  8.70</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 83   9.52  8.25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 84  26.67 21.21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 85   9.52  8.25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 86  23.08 19.53</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 87  13.33 11.55</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 88  25.00 21.65</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 89  12.50 11.50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 90  12.50 11.11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 91  22.22 18.25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 92  14.29 12.03</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 93  14.29 12.50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 94   8.33  9.09</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 95  16.67 14.29</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 96  11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 97  11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 98   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 99  19.05 16.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 100 11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 101 20.00 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 102  6.67  6.25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 103 13.33 11.55</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 104 16.67 14.29</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 105  9.52  8.70</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 106 10.00  9.09</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 107  8.33  7.22</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 108 23.81 19.23</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 109  0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 110  0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 111  9.52 10.53</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 112  0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 113  0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 114 14.29 12.50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 115  5.56  5.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 116  6.67  7.14</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 117 26.67 20.97</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 118  5.56  5.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 119  8.33  7.69</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 120 11.11  9.45</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 121 20.83 16.97</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 122  8.33  7.69</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 123  4.76  4.55</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 124 18.52 15.57</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 125 24.24 19.49</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 126  5.13  5.41</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 127 12.82 10.90</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 128 18.18 15.38</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 129  8.33  7.69</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 130 16.67 14.43</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 131 12.12 10.50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 132 18.18 15.05</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 133 14.29 12.50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 134  6.67  6.25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 135 16.67 13.93</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 136 11.11  9.49</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 137 11.90 11.75</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 138 11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 139 19.05 15.68</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 140 12.50 14.29</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 141 21.43 18.16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 142  7.41  6.42</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 143  8.33  9.09</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 144 11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 145 25.93 20.49</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 146 19.05 16.50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 147 15.38 12.91</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 148 46.67 32.21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 149  4.44  3.85</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 150 20.00 16.38</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 151 29.17 23.13</span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">ap2</span>,what<span class="op">=</span><span class="st">"precision"</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span>    n validn R PercAgree   ASD   ACV  ACV2   AAD   APE  APE2    AD</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  151    151 3     12.58 1.487 21.77 27.52 1.104 16.19 14.76 12.57</span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">ap2</span>,what<span class="op">=</span><span class="st">"difference"</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span>                         -4      -3      -2      -1       0       1       2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> otolithC - finrayC  0.0000  0.0000  1.3245  3.3113 24.5033 17.8808 16.5563</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> otolithC - scaleC   0.0000  2.6490  0.6623 10.5960 19.8675 19.8675 15.8940</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> finrayC - scaleC    3.3113  4.6358 12.5828 19.8675 40.3974 14.5695  2.6490</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>                          3       4       5       6       7       8       9</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> otolithC - finrayC 11.9205  7.2848  7.9470  3.3113  2.6490  0.6623  1.3245</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> otolithC - scaleC  11.2583  5.9603  3.3113  5.2980  1.9868  1.3245  0.0000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> finrayC - scaleC    0.6623  0.6623  0.0000  0.6623  0.0000  0.0000  0.0000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>                         10      11      12      13      14</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> otolithC - finrayC  0.0000  0.6623  0.0000  0.0000  0.6623</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> otolithC - scaleC   0.0000  0.6623  0.0000  0.6623  0.0000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> finrayC - scaleC    0.0000  0.0000  0.0000  0.0000  0.0000</span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">ap2</span>,what<span class="op">=</span><span class="st">"absolute"</span>,percent<span class="op">=</span><span class="cn">FALSE</span>,trunc.diff<span class="op">=</span><span class="fl">4</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span>                      0  1  2  3 4+</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> otolithC v. finrayC 37 32 27 18 37</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> otolithC v. scaleC  30 46 25 21 29</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> finrayC v. scaleC   61 52 23  8  7</span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">ap2</span>,what<span class="op">=</span><span class="st">"detail"</span>,digits<span class="op">=</span><span class="fl">3</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span>     otolithC finrayC scaleC  mean median mode    SD    CV    CV2    AD    PE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1          3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2          3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3          3       3      6  4.00      3    3 1.732 43.30  70.71 1.333 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4          3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5          3       4      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6          6       3      4  4.33      4   NA 1.528 35.25  39.53 1.111 25.64</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7         10       6      7  7.67      7   NA 2.082 27.15  31.94 1.556 20.29</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8         11       9      5  8.33      9   NA 3.055 36.66  35.14 2.222 26.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9          4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10         1       1      1  1.00      1    1 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 11         1       2      2  1.67      2    2 0.577 34.64  35.36 0.444 26.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 12         3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 13         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 14        11       8      6  8.33      8   NA 2.517 30.20  31.87 1.778 21.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 15        10       7      6  7.67      7   NA 2.082 27.15  31.94 1.556 20.29</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 16        10       6      6  7.33      6    6 2.309 31.49  47.14 1.778 24.24</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 17        14      12      6 10.67     12   NA 4.163 39.03  37.27 3.111 29.17</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 18        13       6      6  8.33      6    6 4.041 48.50  82.50 3.111 37.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 19        13       8      7  9.33      8   NA 3.215 34.44  45.07 2.444 26.19</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 20         7       6      6  6.33      6    6 0.577  9.12  11.79 0.444  7.02</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 21        14       7      7  9.33      7    7 4.041 43.30  70.71 3.111 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 22         9       6      7  7.33      7   NA 1.528 20.83  22.59 1.111 15.15</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 23         7       4      5  5.33      5   NA 1.528 28.64  31.62 1.111 20.83</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 24         6       6      5  5.67      6    6 0.577 10.19  11.79 0.444  7.84</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 25         6       6      3  5.00      6    6 1.732 34.64  35.36 1.333 26.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 26         3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 27         3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 28         6       4      5  5.00      5   NA 1.000 20.00  20.00 0.667 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 29         4       4      6  4.67      4    4 1.155 24.74  35.36 0.889 19.05</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 30         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 31         4       3      4  3.67      4    4 0.577 15.75  17.68 0.444 12.12</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 32         1       1      1  1.00      1    1 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 33         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 34         4       2      4  3.33      4    4 1.155 34.64  35.36 0.889 26.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 35         4       3      2  3.00      3   NA 1.000 33.33  33.33 0.667 22.22</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 36         4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 37         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 38         1       3      2  2.00      2   NA 1.000 50.00  50.00 0.667 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 39         1       2      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 40         2       1      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 41         2       1      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 42         4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 43         8       6      5  6.33      6   NA 1.528 24.12  26.35 1.111 17.54</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 44         2       3      5  3.33      3   NA 1.528 45.83  52.70 1.111 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 45         2       4      3  3.00      3   NA 1.000 33.33  33.33 0.667 22.22</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 46         3       2      3  2.67      3    3 0.577 21.65  23.57 0.444 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 47         1       1      2  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 48         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 49         8       7      5  6.67      7   NA 1.528 22.91  22.59 1.111 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 50         4       4      3  3.67      4    4 0.577 15.75  17.68 0.444 12.12</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 51         2       2      2  2.00      2    2 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 52         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 53         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 54         8       6      5  6.33      6   NA 1.528 24.12  26.35 1.111 17.54</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 55         4       4      4  4.00      4    4 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 56         6       6      5  5.67      6    6 0.577 10.19  11.79 0.444  7.84</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 57         7       5      5  5.67      5    5 1.155 20.38  28.28 0.889 15.69</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 58         2       1      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 59         1       1      1  1.00      1    1 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 60         2       1      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 61         1       1      2  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 62         5       5      4  4.67      5    5 0.577 12.37  14.14 0.444  9.52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 63         5       4      4  4.33      4    4 0.577 13.32  17.68 0.444 10.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 64         4       4      5  4.33      4    4 0.577 13.32  17.68 0.444 10.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 65         5       3      6  4.67      5   NA 1.528 32.73  31.62 1.111 23.81</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 66        18       7      7 10.67      7    7 6.351 59.54 111.12 4.889 45.83</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 67         7       5      8  6.67      7   NA 1.528 22.91  22.59 1.111 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 68         9       6      8  7.67      8   NA 1.528 19.92  19.76 1.111 14.49</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 69         5       4      4  4.33      4    4 0.577 13.32  17.68 0.444 10.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 70        10       6      8  8.00      8   NA 2.000 25.00  25.00 1.333 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 71        12       7      7  8.67      7    7 2.887 33.31  50.51 2.222 25.64</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 72         7       6      5  6.00      6   NA 1.000 16.67  16.67 0.667 11.11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 73        10       7      8  8.33      8   NA 1.528 18.33  19.76 1.111 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 74         9       5      6  6.67      6   NA 2.082 31.22  37.27 1.556 23.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 75        11       7      7  8.33      7    7 2.309 27.71  40.41 1.778 21.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 76         1       1      1  1.00      1    1 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 77         3       2      1  2.00      2   NA 1.000 50.00  50.00 0.667 33.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 78        14       9     13 12.00     13   NA 2.646 22.05  22.43 2.000 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 79         8       6      6  6.67      6    6 1.155 17.32  23.57 0.889 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 80        12       7      6  8.33      7   NA 3.215 38.57  51.51 2.444 29.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 81        11       7      9  9.00      9   NA 2.000 22.22  22.22 1.333 14.81</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 82         9       7      7  7.67      7    7 1.155 15.06  20.20 0.889 11.59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 83         8       6      7  7.00      7   NA 1.000 14.29  14.29 0.667  9.52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 84         5       4      8  5.67      5   NA 2.082 36.74  44.72 1.556 27.45</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 85         8       6      7  7.00      7   NA 1.000 14.29  14.29 0.667  9.52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 86        18       9     13 13.33     13   NA 4.509 33.82  34.83 3.111 23.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 87        12       8     10 10.00     10   NA 2.000 20.00  20.00 1.333 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 88        11       5      8  8.00      8   NA 3.000 37.50  37.50 2.000 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 89         9       6      8  7.67      8   NA 1.528 19.92  19.76 1.111 14.49</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 90        11       8      8  9.00      8    8 1.732 19.25  26.52 1.333 14.81</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 91        13       7      9  9.67      9   NA 3.055 31.60  35.14 2.222 22.99</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 92         9       6      7  7.33      7   NA 1.528 20.83  22.59 1.111 15.15</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 93        10       7      7  8.00      7    7 1.732 21.65  30.30 1.333 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 94         4       3      4  3.67      4    4 0.577 15.75  17.68 0.444 12.12</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 95         6       4      4  4.67      4    4 1.155 24.74  35.36 0.889 19.05</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 96         4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 97         4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 98         6       6      6  6.00      6    6 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 99        11       7      7  8.33      7    7 2.309 27.71  40.41 1.778 21.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 100        8       6      6  6.67      6    6 1.155 17.32  23.57 0.889 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 101        8       5      5  6.00      5    5 1.732 28.87  42.43 1.333 22.22</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 102        5       5      6  5.33      5    5 0.577 10.83  14.14 0.444  8.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 103        6       4      5  5.00      5   NA 1.000 20.00  20.00 0.667 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 104        6       4      4  4.67      4    4 1.155 24.74  35.36 0.889 19.05</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 105        9       7      7  7.67      7    7 1.155 15.06  20.20 0.889 11.59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 106       13      10     10 11.00     10   10 1.732 15.75  21.21 1.333 12.12</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 107        9       8      7  8.00      8   NA 1.000 12.50  12.50 0.667  8.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 108       12       7      7  8.67      7    7 2.887 33.31  50.51 2.222 25.64</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 109        5       5      5  5.00      5    5 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 110        4       4      4  4.00      4    4 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 111        7       5      7  6.33      7    7 1.155 18.23  20.20 0.889 14.04</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 112        4       4      4  4.00      4    4 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 113        4       4      4  4.00      4    4 0.000  0.00   0.00 0.000  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 114       10       7      7  8.00      7    7 1.732 21.65  30.30 1.333 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 115        7       6      6  6.33      6    6 0.577  9.12  11.79 0.444  7.02</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 116        5       4      5  4.67      5    5 0.577 12.37  14.14 0.444  9.52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 117       17      10      9 12.00     10   NA 4.359 36.32  50.00 3.333 27.78</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 118        7       6      6  6.33      6    6 0.577  9.12  11.79 0.444  7.02</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 119       10       8      8  8.67      8    8 1.155 13.32  17.68 0.889 10.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 120       11       9      8  9.33      9   NA 1.528 16.37  17.57 1.111 11.90</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 121       12       7      8  9.00      8   NA 2.646 29.40  36.44 2.000 22.22</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 122        4       4      5  4.33      4    4 0.577 13.32  17.68 0.444 10.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 123        8       7      7  7.33      7    7 0.577  7.87  10.10 0.444  6.06</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 124       12       7      9  9.33      9   NA 2.517 26.96  28.33 1.778 19.05</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 125       17       9     11 12.33     11   NA 4.163 33.76  40.66 3.111 25.23</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 126       13      11     13 12.33     13   13 1.155  9.36  10.88 0.889  7.21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 127       16      11     13 13.33     13   NA 2.517 18.87  19.61 1.778 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 128       17      11     11 13.00     11   11 3.464 26.65  38.57 2.667 20.51</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 129       15      12     12 13.00     12   12 1.732 13.32  17.68 1.333 10.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 130        4       3      5  4.00      4   NA 1.000 25.00  25.00 0.667 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 131       13       9     11 11.00     11   NA 2.000 18.18  18.18 1.333 12.12</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 132       16      11     10 12.33     11   NA 3.215 26.06  32.78 2.444 19.82</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 133        7       7     10  8.00      7    7 1.732 21.65  30.30 1.333 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 134        6       5      5  5.33      5    5 0.577 10.83  14.14 0.444  8.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 135       16      10     12 12.67     12   NA 3.055 24.12  26.35 2.222 17.54</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 136       15      12     11 12.67     12   NA 2.082 16.43  18.63 1.556 12.28</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 137       15      10     14 13.00     14   NA 2.646 20.35  20.82 2.000 15.38</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 138        8       6      6  6.67      6    6 1.155 17.32  23.57 0.889 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 139       10       6      7  7.67      7   NA 2.082 27.15  31.94 1.556 20.29</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 140        8       5      8  7.00      8    8 1.732 24.74  26.52 1.333 19.05</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 141       19      10     14 14.33     14   NA 4.509 31.46  32.34 3.111 21.71</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 142        9      10      8  9.00      9   NA 1.000 11.11  11.11 0.667  7.41</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 143       12       9     12 11.00     12   12 1.732 15.75  17.68 1.333 12.12</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 144        8       6      6  6.67      6    6 1.155 17.32  23.57 0.889 13.33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 145       15       8      9 10.67      9   NA 3.786 35.49  47.79 2.889 27.08</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 146        9       5      7  7.00      7   NA 2.000 28.57  28.57 1.333 19.05</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 147       17      11     13 13.67     13   NA 3.055 22.35  24.33 2.222 16.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 148       23       9     10 14.00     10   NA 7.810 55.79  92.20 6.000 42.86</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 149       16      14     15 15.00     15   NA 1.000  6.67   6.67 0.667  4.44</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 150       15      10      9 11.33     10   NA 3.215 28.36  36.06 2.444 21.57</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 151       13       8      6  9.00      8   NA 3.606 40.06  47.60 2.667 29.63</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>       PE2     D</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1    0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2   11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3   33.33 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4   11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5   11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6   25.00 20.35</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7   19.05 15.68</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8   22.22 21.17</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9   11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 11  16.67 20.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 12  11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 13   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 14  20.83 17.44</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 15  19.05 15.68</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 16  22.22 18.18</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 17  22.22 22.53</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 18  38.89 28.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 19  25.00 19.88</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 20   5.56  5.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 21  33.33 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 22  14.29 12.03</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 23  20.00 16.54</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 24   5.56  5.88</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 25  16.67 20.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 26  11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 27  11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 28  13.33 11.55</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 29  16.67 14.29</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 30   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 31   8.33  9.09</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 32   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 33   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 34  16.67 20.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 35  22.22 19.25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 36  11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 37   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 38  33.33 28.87</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 39  33.33 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 40  33.33 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 41  33.33 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 42  11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 43  16.67 13.93</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 44  33.33 26.46</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 45  22.22 19.25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 46  11.11 12.50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 47  33.33 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 48   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 49  14.29 13.23</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 50   8.33  9.09</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 51   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 52   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 53   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 54  16.67 13.93</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 55   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 56   5.56  5.88</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 57  13.33 11.76</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 58  33.33 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 59   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 60  33.33 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 61  33.33 25.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 62   6.67  7.14</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 63   8.33  7.69</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 64   8.33  7.69</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 65  20.00 18.90</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 66  52.38 34.38</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 67  14.29 13.23</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 68  12.50 11.50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 69   8.33  7.69</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 70  16.67 14.43</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 71  23.81 19.23</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 72  11.11  9.62</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 73  12.50 10.58</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 74  22.22 18.03</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 75  19.05 16.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 76   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 77  33.33 28.87</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 78  12.82 12.73</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 79  11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 80  28.57 22.27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 81  14.81 12.83</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 82   9.52  8.70</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 83   9.52  8.25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 84  26.67 21.21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 85   9.52  8.25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 86  23.08 19.53</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 87  13.33 11.55</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 88  25.00 21.65</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 89  12.50 11.50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 90  12.50 11.11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 91  22.22 18.25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 92  14.29 12.03</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 93  14.29 12.50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 94   8.33  9.09</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 95  16.67 14.29</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 96  11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 97  11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 98   0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 99  19.05 16.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 100 11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 101 20.00 16.67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 102  6.67  6.25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 103 13.33 11.55</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 104 16.67 14.29</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 105  9.52  8.70</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 106 10.00  9.09</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 107  8.33  7.22</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 108 23.81 19.23</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 109  0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 110  0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 111  9.52 10.53</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 112  0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 113  0.00  0.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 114 14.29 12.50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 115  5.56  5.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 116  6.67  7.14</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 117 26.67 20.97</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 118  5.56  5.26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 119  8.33  7.69</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 120 11.11  9.45</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 121 20.83 16.97</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 122  8.33  7.69</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 123  4.76  4.55</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 124 18.52 15.57</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 125 24.24 19.49</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 126  5.13  5.41</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 127 12.82 10.90</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 128 18.18 15.38</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 129  8.33  7.69</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 130 16.67 14.43</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 131 12.12 10.50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 132 18.18 15.05</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 133 14.29 12.50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 134  6.67  6.25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 135 16.67 13.93</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 136 11.11  9.49</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 137 11.90 11.75</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 138 11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 139 19.05 15.68</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 140 12.50 14.29</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 141 21.43 18.16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 142  7.41  6.42</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 143  8.33  9.09</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 144 11.11 10.00</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 145 25.93 20.49</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 146 19.05 16.50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 147 15.38 12.91</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 148 46.67 32.21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 149  4.44  3.85</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 150 20.00 16.38</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 151 29.17 23.13</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">AD</span><span class="op">~</span><span class="va">mean</span>,data<span class="op">=</span><span class="va">ap2</span><span class="op">$</span><span class="va">detail</span>,pch<span class="op">=</span><span class="fl">19</span>,col<span class="op">=</span><span class="fu"><a href="col2rgbt.html">col2rgbt</a></span><span class="op">(</span><span class="st">"black"</span>,<span class="fl">1</span><span class="op">/</span><span class="fl">5</span><span class="op">)</span>,</span></span>
<span class="r-in"><span>     xlab<span class="op">=</span><span class="st">"Mean Age"</span>,ylab<span class="op">=</span><span class="st">"Absolute Deviation Age"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="agePrecision-6.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">SD</span><span class="op">~</span><span class="va">mean</span>,data<span class="op">=</span><span class="va">ap2</span><span class="op">$</span><span class="va">detail</span>,pch<span class="op">=</span><span class="fl">19</span>,col<span class="op">=</span><span class="fu"><a href="col2rgbt.html">col2rgbt</a></span><span class="op">(</span><span class="st">"black"</span>,<span class="fl">1</span><span class="op">/</span><span class="fl">5</span><span class="op">)</span>,</span></span>
<span class="r-in"><span>     xlab<span class="op">=</span><span class="st">"Mean Age"</span>,ylab<span class="op">=</span><span class="st">"Standard Deviation Age"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="agePrecision-7.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">SD</span><span class="op">~</span><span class="va">AD</span>,data<span class="op">=</span><span class="va">ap2</span><span class="op">$</span><span class="va">detail</span>,pch<span class="op">=</span><span class="fl">19</span>,col<span class="op">=</span><span class="fu"><a href="col2rgbt.html">col2rgbt</a></span><span class="op">(</span><span class="st">"black"</span>,<span class="fl">1</span><span class="op">/</span><span class="fl">5</span><span class="op">)</span>,</span></span>
<span class="r-in"><span>     xlab<span class="op">=</span><span class="st">"Absolute Deviation Age"</span>,ylab<span class="op">=</span><span class="st">"Standard Deviation Age"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="agePrecision-8.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">CV</span><span class="op">~</span><span class="va">PE</span>,data<span class="op">=</span><span class="va">ap2</span><span class="op">$</span><span class="va">detail</span>,pch<span class="op">=</span><span class="fl">19</span>,col<span class="op">=</span><span class="fu"><a href="col2rgbt.html">col2rgbt</a></span><span class="op">(</span><span class="st">"black"</span>,<span class="fl">1</span><span class="op">/</span><span class="fl">5</span><span class="op">)</span>,</span></span>
<span class="r-in"><span>     xlab<span class="op">=</span><span class="st">"Percent Error Age"</span>,ylab<span class="op">=</span><span class="st">"Coefficient of Variation Age"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="agePrecision-9.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">median</span><span class="op">~</span><span class="va">mean</span>,data<span class="op">=</span><span class="va">ap2</span><span class="op">$</span><span class="va">detail</span>,pch<span class="op">=</span><span class="fl">19</span>,col<span class="op">=</span><span class="fu"><a href="col2rgbt.html">col2rgbt</a></span><span class="op">(</span><span class="st">"black"</span>,<span class="fl">1</span><span class="op">/</span><span class="fl">5</span><span class="op">)</span>,</span></span>
<span class="r-in"><span>     xlab<span class="op">=</span><span class="st">"Mean Age"</span>,ylab<span class="op">=</span><span class="st">"Median Age"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="agePrecision-10.png" alt="" width="700" height="433"></span>
<span class="r-in"><span></span></span>
</code></pre></div>
    </div>
  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
    </nav></aside></div>


    <footer><div class="pkgdown-footer-left">
  <p></p><p>Developed by <a href="http://derekogle.com" class="external-link">Derek H. Ogle</a>, Jason C. Doll, A. Powell Wheeler, Alexis Dinno.</p>
</div>

<div class="pkgdown-footer-right">
  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
</div>

    </footer></div>

  

  

  </body></html>

