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      <img src="../logo.png" class="logo" alt=""><h1>Constructs plots of predicted weights at given lengths among different groups.</h1>
      <small class="dont-index">Source: <a href="https://github.com/fishR-Core-Team/FSA/blob/HEAD/R/lwCompPreds.R" class="external-link"><code>R/lwCompPreds.R</code></a></small>
      <div class="d-none name"><code>lwCompPreds.Rd</code></div>
    </div>

    <div class="ref-description section level2">
    <p>Constructs plots of predicted weights at given lengths among different groups. These plots allow the user to explore differences in predicted weights at a variety of lengths when the weight-length relationship is not the same across a variety of groups.</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">lwCompPreds</span><span class="op">(</span></span>
<span>  <span class="va">object</span>,</span>
<span>  lens <span class="op">=</span> <span class="cn">NULL</span>,</span>
<span>  qlens <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="fl">0.05</span>, <span class="fl">0.25</span>, <span class="fl">0.5</span>, <span class="fl">0.75</span>, <span class="fl">0.95</span><span class="op">)</span>,</span>
<span>  qlens.dec <span class="op">=</span> <span class="fl">1</span>,</span>
<span>  base <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">exp</a></span><span class="op">(</span><span class="fl">1</span><span class="op">)</span>,</span>
<span>  interval <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">"confidence"</span>, <span class="st">"prediction"</span>, <span class="st">"both"</span><span class="op">)</span>,</span>
<span>  center.value <span class="op">=</span> <span class="fl">0</span>,</span>
<span>  lwd <span class="op">=</span> <span class="fl">1</span>,</span>
<span>  connect.preds <span class="op">=</span> <span class="cn">TRUE</span>,</span>
<span>  show.preds <span class="op">=</span> <span class="cn">FALSE</span>,</span>
<span>  col.connect <span class="op">=</span> <span class="st">"gray70"</span>,</span>
<span>  ylim <span class="op">=</span> <span class="cn">NULL</span>,</span>
<span>  main.pre <span class="op">=</span> <span class="st">"Length=="</span>,</span>
<span>  cex.main <span class="op">=</span> <span class="fl">0.8</span>,</span>
<span>  xlab <span class="op">=</span> <span class="st">"Groups"</span>,</span>
<span>  ylab <span class="op">=</span> <span class="st">"Predicted Weight"</span>,</span>
<span>  yaxs <span class="op">=</span> <span class="st">"r"</span>,</span>
<span>  rows <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">round</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">sqrt</a></span><span class="op">(</span><span class="va">num</span><span class="op">)</span><span class="op">)</span>,</span>
<span>  cols <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">ceiling</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">sqrt</a></span><span class="op">(</span><span class="va">num</span><span class="op">)</span><span class="op">)</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>object</dt>
<dd><p>An <code>lm</code> object (i.e., returned from fitting a model with <code>lm</code>). This model should have log(weight) as the response and log(length) as the explanatory covariate and an explanatory factor variable that describes the different groups.</p></dd>


<dt>lens</dt>
<dd><p>A numeric vector that indicates the lengths at which the weights should be predicted.</p></dd>


<dt>qlens</dt>
<dd><p>A numeric vector that indicates the quantiles of lengths at which weights should be predicted. This is ignored if <code>lens</code> is non-null.</p></dd>


<dt>qlens.dec</dt>
<dd><p>A single numeric that identifies the decimal place that the lengths derived from <code>qlens</code> should be rounded to (Default is 1).</p></dd>


<dt>base</dt>
<dd><p>A single positive numeric value that indicates the base of the logarithm used in the <code>lm</code> object in <code>object</code>. The default is <code>exp(1)</code>, or the value e.</p></dd>


<dt>interval</dt>
<dd><p>A single string that indicates whether to plot confidence (<code>="confidence"</code>), prediction (<code>="prediction"</code>), or both (<code>="both"</code>) intervals.</p></dd>


<dt>center.value</dt>
<dd><p>A single numeric value that indicates the log length used if the log length data was centered when constructing <code>object</code>.</p></dd>


<dt>lwd</dt>
<dd><p>A single numeric that indicates the line width to be used for the confidence and prediction interval lines (if not <code>interval="both"</code>) and the prediction connections line. If <code>interval="both"</code> then the width of the prediction interval will be one less than this value so that the CI and PI appear different.</p></dd>


<dt>connect.preds</dt>
<dd><p>A logical that indicates whether the predicted values should be connected with a line across groups or not.</p></dd>


<dt>show.preds</dt>
<dd><p>A logical that indicates whether the predicted values should be plotted with a point for each group or not.</p></dd>


<dt>col.connect</dt>
<dd><p>A color to use for the line that connects the predicted values (if <code>connect.preds=TRUE</code>).</p></dd>


<dt>ylim</dt>
<dd><p>A numeric vector of length two that indicates the limits of the y-axis to be used for each plot. If null then limits will be chosen for each graph individually.</p></dd>


<dt>main.pre</dt>
<dd><p>A character string to be used as a prefix for the main title. See details.</p></dd>


<dt>cex.main</dt>
<dd><p>A numeric value for the character expansion of the main title. See details.</p></dd>


<dt>xlab</dt>
<dd><p>A single string for labeling the x-axis.</p></dd>


<dt>ylab</dt>
<dd><p>A single string for labeling the y-axis.</p></dd>


<dt>yaxs</dt>
<dd><p>A single string that indicates how the y-axis is formed. See <code>par</code> for more details.</p></dd>


<dt>rows</dt>
<dd><p>A single numeric that contains the number of rows to use on the graphic.</p></dd>


<dt>cols</dt>
<dd><p>A single numeric that contains the number of columns to use on the graphic.</p></dd>

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

<p>None. However, a plot is produced.</p>
    </div>
    <div class="section level2">
    <h2 id="ifar-chapter">IFAR Chapter<a class="anchor" aria-label="anchor" href="#ifar-chapter"></a></h2>
    <p>7-Weight-Length.</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>
    </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"># add log length and weight data to ChinookArg data</span></span></span>
<span class="r-in"><span><span class="va">ChinookArg</span><span class="op">$</span><span class="va">logtl</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="va">ChinookArg</span><span class="op">$</span><span class="va">tl</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">ChinookArg</span><span class="op">$</span><span class="va">logwt</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="va">ChinookArg</span><span class="op">$</span><span class="va">w</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="co"># fit model to assess equality of slopes</span></span></span>
<span class="r-in"><span><span class="va">lm1</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/lm.html" class="external-link">lm</a></span><span class="op">(</span><span class="va">logwt</span><span class="op">~</span><span class="va">logtl</span><span class="op">*</span><span class="va">loc</span>,data<span class="op">=</span><span class="va">ChinookArg</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span><span class="va">lm1</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Analysis of Variance Table</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Response: logwt</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>            Df Sum Sq Mean Sq  F value    Pr(&gt;F)    </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> logtl       1 92.083  92.083 898.4819 &lt; 2.2e-16 ***</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> loc         2  2.634   1.317  12.8526 1.005e-05 ***</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> logtl:loc   2  0.101   0.051   0.4932     0.612    </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Residuals 106 10.864   0.102                       </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> ---</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># set graphing parameters so that the plots will look decent</span></span></span>
<span class="r-in"><span><span class="va">op</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/graphics/par.html" class="external-link">par</a></span><span class="op">(</span>mar<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="fl">3.5</span>,<span class="fl">3.5</span>,<span class="fl">1</span>,<span class="fl">1</span><span class="op">)</span>,mgp<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="fl">1.8</span>,<span class="fl">0.4</span>,<span class="fl">0</span><span class="op">)</span>,tcl<span class="op">=</span><span class="op">-</span><span class="fl">0.2</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="co"># show predicted weights (w/ CI) at the default quantile lengths</span></span></span>
<span class="r-in"><span><span class="fu">lwCompPreds</span><span class="op">(</span><span class="va">lm1</span>,xlab<span class="op">=</span><span class="st">"Location"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="lwCompPreds-1.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="co"># show predicted weights (w/ CI) at the quartile lengths</span></span></span>
<span class="r-in"><span><span class="fu">lwCompPreds</span><span class="op">(</span><span class="va">lm1</span>,xlab<span class="op">=</span><span class="st">"Location"</span>,qlens<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="fl">0.25</span>,<span class="fl">0.5</span>,<span class="fl">0.75</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="lwCompPreds-2.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="co"># show predicted weights (w/ CI) at certain lengths</span></span></span>
<span class="r-in"><span><span class="fu">lwCompPreds</span><span class="op">(</span><span class="va">lm1</span>,xlab<span class="op">=</span><span class="st">"Location"</span>,lens<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="fl">60</span>,<span class="fl">90</span>,<span class="fl">120</span>,<span class="fl">150</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="lwCompPreds-3.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="co"># show predicted weights (w/ just PI) at certain lengths</span></span></span>
<span class="r-in"><span><span class="fu">lwCompPreds</span><span class="op">(</span><span class="va">lm1</span>,xlab<span class="op">=</span><span class="st">"Location"</span>,lens<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="fl">60</span>,<span class="fl">90</span>,<span class="fl">120</span>,<span class="fl">150</span><span class="op">)</span>,interval<span class="op">=</span><span class="st">"prediction"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="lwCompPreds-4.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="fu">lwCompPreds</span><span class="op">(</span><span class="va">lm1</span>,xlab<span class="op">=</span><span class="st">"Location"</span>,lens<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="fl">60</span>,<span class="fl">90</span>,<span class="fl">120</span>,<span class="fl">150</span><span class="op">)</span>,connect.preds<span class="op">=</span><span class="cn">FALSE</span>,show.preds<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="lwCompPreds-5.png" alt="" width="700" height="433"></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># fit model with a different base (plot should be the same as the first example)</span></span></span>
<span class="r-in"><span><span class="va">ChinookArg</span><span class="op">$</span><span class="va">logtl</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log10</a></span><span class="op">(</span><span class="va">ChinookArg</span><span class="op">$</span><span class="va">tl</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">ChinookArg</span><span class="op">$</span><span class="va">logwt</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log10</a></span><span class="op">(</span><span class="va">ChinookArg</span><span class="op">$</span><span class="va">w</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">lm1</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/lm.html" class="external-link">lm</a></span><span class="op">(</span><span class="va">logwt</span><span class="op">~</span><span class="va">logtl</span><span class="op">*</span><span class="va">loc</span>,data<span class="op">=</span><span class="va">ChinookArg</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="fu">lwCompPreds</span><span class="op">(</span><span class="va">lm1</span>,base<span class="op">=</span><span class="fl">10</span>,xlab<span class="op">=</span><span class="st">"Location"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="lwCompPreds-6.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="co">## return graphing parameters to original state</span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/par.html" class="external-link">par</a></span><span class="op">(</span><span class="va">op</span><span class="op">)</span></span></span>
<span class="r-in"><span></span></span>
</code></pre></div>
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