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diff --git a/docs/reference/calplot.lm.html b/docs/reference/calplot.lm.html index 5a33491..910e4ea 100644 --- a/docs/reference/calplot.lm.html +++ b/docs/reference/calplot.lm.html @@ -18,19 +18,29 @@ <!-- Font Awesome icons --> <link href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css" rel="stylesheet" integrity="sha384-T8Gy5hrqNKT+hzMclPo118YTQO6cYprQmhrYwIiQ/3axmI1hQomh7Ud2hPOy8SP1" crossorigin="anonymous"> +<!-- clipboard.js --> +<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/1.7.1/clipboard.min.js" integrity="sha384-cV+rhyOuRHc9Ub/91rihWcGmMmCXDeksTtCihMupQHSsi8GIIRDG0ThDc3HGQFJ3" crossorigin="anonymous"></script> <!-- pkgdown --> <link href="../pkgdown.css" rel="stylesheet"> <script src="../jquery.sticky-kit.min.js"></script> <script src="../pkgdown.js"></script> + + +<meta property="og:title" content="Plot calibration graphs from univariate linear models — calplot" /> +<meta property="og:description" content="Produce graphics of calibration data, the fitted model as well + as confidence, and, for unweighted regression, prediction bands." /> +<meta name="twitter:card" content="summary" /> <!-- mathjax --> -<script src='https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML'></script> +<script src='https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML'></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> @@ -77,45 +87,46 @@ as confidence, and, for unweighted regression, prediction bands.</p> - <pre><span class='fu'>calplot</span>(<span class='no'>object</span>, <span class='kw'>xlim</span> <span class='kw'>=</span> <span class='fu'>c</span>(<span class='st'>"auto"</span>, <span class='st'>"auto"</span>), <span class='kw'>ylim</span> <span class='kw'>=</span> <span class='fu'>c</span>(<span class='st'>"auto"</span>, <span class='st'>"auto"</span>), + <pre class="usage"><span class='fu'>calplot</span>(<span class='no'>object</span>, <span class='kw'>xlim</span> <span class='kw'>=</span> <span class='fu'>c</span>(<span class='st'>"auto"</span>, <span class='st'>"auto"</span>), <span class='kw'>ylim</span> <span class='kw'>=</span> <span class='fu'>c</span>(<span class='st'>"auto"</span>, <span class='st'>"auto"</span>), <span class='kw'>xlab</span> <span class='kw'>=</span> <span class='st'>"Concentration"</span>, <span class='kw'>ylab</span> <span class='kw'>=</span> <span class='st'>"Response"</span>, <span class='kw'>alpha</span><span class='kw'>=</span><span class='fl'>0.05</span>, <span class='kw'>varfunc</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)</pre> <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2> - <dl class="dl-horizontal"> - <dt>object</dt> - <dd> - A univariate model object of class <code>lm</code> or + <table class="ref-arguments"> + <colgroup><col class="name" /><col class="desc" /></colgroup> + <tr> + <th>object</th> + <td><p>A univariate model object of class <code>lm</code> or <code><a href='http://www.rdocumentation.org/packages/MASS/topics/rlm'>rlm</a></code> - with model formula <code>y ~ x</code> or <code>y ~ x - 1</code>. - </dd> - <dt>xlim</dt> - <dd> - The limits of the plot on the x axis. - </dd> - <dt>ylim</dt> - <dd> - The limits of the plot on the y axis. - </dd> - <dt>xlab</dt> - <dd> - The label of the x axis. - </dd> - <dt>ylab</dt> - <dd> - The label of the y axis. - </dd> - <dt>alpha</dt> - <dd> - The error tolerance level for the confidence and prediction bands. Note that this + with model formula <code>y ~ x</code> or <code>y ~ x - 1</code>.</p></td> + </tr> + <tr> + <th>xlim</th> + <td><p>The limits of the plot on the x axis.</p></td> + </tr> + <tr> + <th>ylim</th> + <td><p>The limits of the plot on the y axis.</p></td> + </tr> + <tr> + <th>xlab</th> + <td><p>The label of the x axis.</p></td> + </tr> + <tr> + <th>ylab</th> + <td><p>The label of the y axis.</p></td> + </tr> + <tr> + <th>alpha</th> + <td><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). - </dd> - <dt>varfunc</dt> - <dd> - The variance function for generating the weights in the model. - Currently, this argument is ignored (see note below). - </dd> - </dl> + used in <code>lod</code> (see note below).</p></td> + </tr> + <tr> + <th>varfunc</th> + <td><p>The variance function for generating the weights in the model. + Currently, this argument is ignored (see note below).</p></td> + </tr> + </table> <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2> @@ -129,16 +140,16 @@ 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>predict.lm</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>lod()</code> alpha and beta parameters are + <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>lod</code> values if the <code>lod()</code> alpha and beta parameters are half the value of the <code>calplot()</code> alpha parameter.</p> <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> <pre class="examples"><div class='input'><span class='fu'>data</span>(<span class='no'>massart97ex3</span>) <span class='no'>m</span> <span class='kw'><-</span> <span class='fu'>lm</span>(<span class='no'>y</span> ~ <span class='no'>x</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='no'>massart97ex3</span>) -<span class='fu'>calplot</span>(<span class='no'>m</span>)</div><img src='calplot-2.png' alt='' width='540' height='400' /></pre> +<span class='fu'>calplot</span>(<span class='no'>m</span>)</div><div class='img'><img src='calplot.lm-1.png' alt='' width='700' height='432.632880098887' /></div></pre> </div> <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> <h2>Contents</h2> @@ -156,7 +167,7 @@ Johannes Ranke <a href='mailto:jranke@uni-bremen.de'>jranke@uni-bremen.de</a> - <a href = 'http://www.uft.uni-bremen.de/chemie/ranke'>http://www.uft.uni-bremen.de/chemie/ranke</a> + <a href='http://www.uft.uni-bremen.de/chemie/ranke'>http://www.uft.uni-bremen.de/chemie/ranke</a> </div> </div> @@ -167,7 +178,7 @@ </div> <div class="pkgdown"> - <p>Site built with <a href="http://hadley.github.io/pkgdown/">pkgdown</a>.</p> + <p>Site built with <a href="http://pkgdown.r-lib.org/">pkgdown</a>.</p> </div> </footer> |