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+confidence, and, for unweighted regression, prediction bands."><!-- 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]>
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+ <div class="page-header">
+ <h1>Plot calibration graphs from univariate linear models</h1>
+ <small class="dont-index">Source: <a href="https://github.com/jranke/chemCal/blob/HEAD/R/calplot.R" class="external-link"><code>R/calplot.R</code></a></small>
+ <div class="hidden name"><code>calplot.Rd</code></div>
+ </div>
+
+ <div class="ref-description">
+ <p>Produce graphics of calibration data, the fitted model as well as
+confidence, and, for unweighted regression, prediction bands.</p>
+ </div>
+
+ <div id="ref-usage">
+ <div class="sourceCode"><pre class="sourceCode r"><code><span class="fu">calplot</span><span class="op">(</span>
+ <span class="va">object</span>,
+ xlim <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">"auto"</span>, <span class="st">"auto"</span><span class="op">)</span>,
+ ylim <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">"auto"</span>, <span class="st">"auto"</span><span class="op">)</span>,
+ xlab <span class="op">=</span> <span class="st">"Concentration"</span>,
+ ylab <span class="op">=</span> <span class="st">"Response"</span>,
+ legend_x <span class="op">=</span> <span class="st">"auto"</span>,
+ alpha <span class="op">=</span> <span class="fl">0.05</span>,
+ varfunc <span class="op">=</span> <span class="cn">NULL</span>
+<span class="op">)</span></code></pre></div>
+ </div>
+
+ <div id="arguments">
+ <h2>Arguments</h2>
+ <dl><dt>object</dt>
+<dd><p>A univariate model object of class <code><a href="https://rdrr.io/r/stats/lm.html" class="external-link">lm</a></code> or
+<code><a href="https://rdrr.io/pkg/MASS/man/rlm.html" class="external-link">rlm</a></code> with model formula <code>y ~ x</code> or <code>y ~ x -
+1</code>.</p></dd>
+<dt>xlim</dt>
+<dd><p>The limits of the plot on the x axis.</p></dd>
+<dt>ylim</dt>
+<dd><p>The limits of the plot on the y axis.</p></dd>
+<dt>xlab</dt>
+<dd><p>The label of the x axis.</p></dd>
+<dt>ylab</dt>
+<dd><p>The label of the y axis.</p></dd>
+<dt>legend_x</dt>
+<dd><p>An optional numeric value for adjusting the x coordinate of
+the legend.</p></dd>
+<dt>alpha</dt>
+<dd><p>The error tolerance level for the confidence and prediction
+bands. Note that this includes both tails of the Gaussian distribution,
+unlike the alpha and beta parameters used in <code><a href="lod.html">lod</a></code> (see note
+below).</p></dd>
+<dt>varfunc</dt>
+<dd><p>The variance function for generating the weights in the
+model. Currently, this argument is ignored (see note below).</p></dd>
+</dl></div>
+ <div id="value">
+ <h2>Value</h2>
+ <p>A plot of the calibration data, of your fitted model as well as
+lines showing the confidence limits. Prediction limits are only shown for
+models from unweighted regression.</p>
+ </div>
+ <div id="note">
+ <h2>Note</h2>
+ <p>Prediction bands for models from weighted linear regression require
+weights for the data, for which responses should be predicted. Prediction
+intervals using weights e.g. from a variance function are currently not
+supported by the internally used function <code><a href="https://rdrr.io/r/stats/predict.lm.html" class="external-link">predict.lm</a></code>,
+therefore, <code>calplot</code> does not draw prediction bands for such models.</p>
+<p>It is possible to compare the <code>calplot</code> prediction bands with
+the <code><a href="lod.html">lod</a></code> values if the <code><a href="lod.html">lod()</a></code> alpha and beta parameters
+are half the value of the <code>calplot()</code> alpha parameter.</p>
+ </div>
+ <div id="author">
+ <h2>Author</h2>
+ <p>Johannes Ranke</p>
+ </div>
+
+ <div id="ref-examples">
+ <h2>Examples</h2>
+ <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"></span>
+<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/utils/data.html" class="external-link">data</a></span><span class="op">(</span><span class="va">massart97ex3</span><span class="op">)</span></span>
+<span class="r-in"><span class="va">m</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">y</span> <span class="op">~</span> <span class="va">x</span>, data <span class="op">=</span> <span class="va">massart97ex3</span><span class="op">)</span></span>
+<span class="r-in"><span class="fu">calplot</span><span class="op">(</span><span class="va">m</span><span class="op">)</span></span>
+<span class="r-plt img"><img src="calplot-1.png" alt="" width="700" height="433"></span>
+<span class="r-in"></span>
+</code></pre></div>
+ </div>
+ </div>
+ <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
+ <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
+ </nav></div>
+</div>
+
+
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