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+ <div class="page-header">
+ <h1>Plot calibration graphs from univariate linear models</h1>
+ </div>
+
+
+ <p>Produce graphics of calibration data, the fitted model as well
+ 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>),
+ <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
+ <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
+ 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>
+
+ <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>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>
+
+ <h2 class="hasAnchor" id="note"><a class="anchor" href="#note"></a>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>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
+ 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'>&lt;-</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>
+ </div>
+ <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+ <h2>Contents</h2>
+ <ul class="nav nav-pills nav-stacked">
+ <li><a href="#arguments">Arguments</a></li>
+
+ <li><a href="#value">Value</a></li>
+
+ <li><a href="#note">Note</a></li>
+
+ <li><a href="#examples">Examples</a></li>
+ </ul>
+
+ <h2>Author</h2>
+
+ 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>
+
+ </div>
+</div>
+
+ <footer>
+ <div class="copyright">
+ <p>Developed by Johannes Ranke.</p>
+</div>
+
+<div class="pkgdown">
+ <p>Site built with <a href="http://hadley.github.io/pkgdown/">pkgdown</a>.</p>
+</div>
+
+ </footer>
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+
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+</html>
diff --git a/docs/reference/chemCal-package.html b/docs/reference/chemCal-package.html
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+
+
+ </header>
+
+ <div class="row">
+ <div class="col-md-9 contents">
+ <div class="page-header">
+ <h1>
+</h1>
+ </div>
+
+
+ <p>See <a href = '../DESCRIPTION'>../DESCRIPTION</a></p>
+
+
+
+ <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
+
+ <p>There is a package vignette located in <a href = '../doc/chemCal.pdf'>../doc/chemCal.pdf</a>.</p>
+
+
+ </div>
+ <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+ <h2>Contents</h2>
+ <ul class="nav nav-pills nav-stacked">
+
+ <li><a href="#details">Details</a></li>
+ </ul>
+
+ <h2>Author</h2>
+
+ Author and Maintainer: Johannes Ranke &lt;jranke@uni-bremen.de&gt;
+
+ </div>
+</div>
+
+ <footer>
+ <div class="copyright">
+ <p>Developed by Johannes Ranke.</p>
+</div>
+
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+ <span class="icon-bar"></span>
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+ <div class="row">
+ <div class="col-md-9 contents">
+ <div class="page-header">
+ <h1>Calibration data from DIN 32645</h1>
+ </div>
+
+
+ <p>Sample dataset to test the package.</p>
+
+
+ <pre><span class='fu'>data</span>(<span class='no'>din32645</span>)</pre>
+
+ <h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
+
+ <p>A dataframe containing 10 rows of x and y values.</p>
+
+ <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>
+
+ <p>DIN 32645 (equivalent to ISO 11843), Beuth Verlag, Berlin, 1994</p>
+ <p>Dintest. Plugin for MS Excel for evaluations of calibration data. Written
+ by Georg Schmitt, University of Heidelberg. Formerly available from
+ the Website of the University of Heidelberg.</p>
+ <p>Currie, L. A. (1997) Nomenclature in evaluation of analytical methods including
+ detection and quantification capabilities (IUPAC Recommendations 1995).
+ Analytica Chimica Acta 391, 105 - 126.</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'>din32645</span>)
+<span class='no'>m</span> <span class='kw'>&lt;-</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'>din32645</span>)
+<span class='fu'><a href='calplot.html'>calplot</a></span>(<span class='no'>m</span>)</div><img src='din32645-2.png' alt='' width='540' height='400' /><div class='input'>
+<span class='co'>## Prediction of x with confidence interval</span>
+(<span class='no'>prediction</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='inverse.predict.html'>inverse.predict</a></span>(<span class='no'>m</span>, <span class='fl'>3500</span>, <span class='kw'>alpha</span> <span class='kw'>=</span> <span class='fl'>0.01</span>))</div><div class='output co'>#&gt; $Prediction
+#&gt; [1] 0.1054792
+#&gt;
+#&gt; $`Standard Error`
+#&gt; [1] 0.02215619
+#&gt;
+#&gt; $Confidence
+#&gt; [1] 0.07434261
+#&gt;
+#&gt; $`Confidence Limits`
+#&gt; [1] 0.03113656 0.17982178
+#&gt; </div><div class='input'>
+<span class='co'># This should give 0.07434 according to test data from Dintest, which </span>
+<span class='co'># was collected from Procontrol 3.1 (isomehr GmbH) in this case</span>
+<span class='fu'>round</span>(<span class='no'>prediction</span>$<span class='no'>Confidence</span>,<span class='fl'>5</span>)</div><div class='output co'>#&gt; [1] 0.07434</div><div class='input'>
+<span class='co'>## Critical value:</span>
+(<span class='no'>crit</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='lod.html'>lod</a></span>(<span class='no'>m</span>, <span class='kw'>alpha</span> <span class='kw'>=</span> <span class='fl'>0.01</span>, <span class='kw'>beta</span> <span class='kw'>=</span> <span class='fl'>0.5</span>))</div><div class='output co'>#&gt; $x
+#&gt; [1] 0.0698127
+#&gt;
+#&gt; $y
+#&gt; 1
+#&gt; 3155.393
+#&gt; </div><div class='input'>
+<span class='co'># According to DIN 32645, we should get 0.07 for the critical value</span>
+<span class='co'># (decision limit, "Nachweisgrenze")</span>
+<span class='fu'>round</span>(<span class='no'>crit</span>$<span class='no'>x</span>, <span class='fl'>2</span>)</div><div class='output co'>#&gt; [1] 0.07</div><div class='input'><span class='co'># and according to Dintest test data, we should get 0.0698 from</span>
+<span class='fu'>round</span>(<span class='no'>crit</span>$<span class='no'>x</span>, <span class='fl'>4</span>)</div><div class='output co'>#&gt; [1] 0.0698</div><div class='input'>
+<span class='co'>## Limit of detection (smallest detectable value given alpha and beta)</span>
+<span class='co'># In German, the smallest detectable value is the "Erfassungsgrenze", and we</span>
+<span class='co'># should get 0.14 according to DIN, which we achieve by using the method </span>
+<span class='co'># described in it:</span>
+<span class='no'>lod.din</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='lod.html'>lod</a></span>(<span class='no'>m</span>, <span class='kw'>alpha</span> <span class='kw'>=</span> <span class='fl'>0.01</span>, <span class='kw'>beta</span> <span class='kw'>=</span> <span class='fl'>0.01</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"din"</span>)
+<span class='fu'>round</span>(<span class='no'>lod.din</span>$<span class='no'>x</span>, <span class='fl'>2</span>)</div><div class='output co'>#&gt; [1] 0.14</div><div class='input'>
+<span class='co'>## Limit of quantification</span>
+<span class='co'># This accords to the test data coming with the test data from Dintest again, </span>
+<span class='co'># except for the last digits of the value cited for Procontrol 3.1 (0.2121)</span>
+(<span class='no'>loq</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='loq.html'>loq</a></span>(<span class='no'>m</span>, <span class='kw'>alpha</span> <span class='kw'>=</span> <span class='fl'>0.01</span>))</div><div class='output co'>#&gt; $x
+#&gt; [1] 0.2119575
+#&gt;
+#&gt; $y
+#&gt; 1
+#&gt; 4528.787
+#&gt; </div><div class='input'><span class='fu'>round</span>(<span class='no'>loq</span>$<span class='no'>x</span>,<span class='fl'>4</span>)</div><div class='output co'>#&gt; [1] 0.212</div><div class='input'>
+<span class='co'># A similar value is obtained using the approximation </span>
+<span class='co'># LQ = 3.04 * LC (Currie 1999, p. 120)</span>
+<span class='fl'>3.04</span> * <span class='fu'><a href='lod.html'>lod</a></span>(<span class='no'>m</span>,<span class='kw'>alpha</span> <span class='kw'>=</span> <span class='fl'>0.01</span>, <span class='kw'>beta</span> <span class='kw'>=</span> <span class='fl'>0.5</span>)$<span class='no'>x</span></div><div class='output co'>#&gt; [1] 0.2122306</div></pre>
+ </div>
+ <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+ <h2>Contents</h2>
+ <ul class="nav nav-pills nav-stacked">
+
+ <li><a href="#format">Format</a></li>
+
+ <li><a href="#references">References</a></li>
+
+ <li><a href="#examples">Examples</a></li>
+ </ul>
+
+ </div>
+</div>
+
+ <footer>
+ <div class="copyright">
+ <p>Developed by Johannes Ranke.</p>
+</div>
+
+<div class="pkgdown">
+ <p>Site built with <a href="http://hadley.github.io/pkgdown/">pkgdown</a>.</p>
+</div>
+
+ </footer>
+ </div>
+
+ </body>
+</html>
diff --git a/docs/reference/index.html b/docs/reference/index.html
new file mode 100644
index 0000000..b55336a
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+ <h1>Function reference</h1>
+ <h4>version&nbsp;0.1-37.9000</h4>
+ </div>
+
+ <div class="contents">
+ <h2 id="section-all-functions" class="hasAnchor"><a href="#section-all-functions" class="anchor"></a>All functions</h2>
+ <p class="section-desc"></p>
+
+
+ <p><a href="calplot.lm.html">Plot calibration graphs from univariate linear models</a></p>
+ <ul>
+ <li><code><a href="calplot.lm.html">calplot</a></code></li><li><code><a href="calplot.lm.html">calplot.default</a></code></li><li><code><a href="calplot.lm.html">calplot.lm</a></code></li>
+ </ul>
+
+ <p><a href="chemCal-package.html">
+</a></p>
+ <ul>
+ <li><code><a href="chemCal-package.html">chemCal-package</a></code></li>
+ </ul>
+
+ <p><a href="din32645.html">Calibration data from DIN 32645</a></p>
+ <ul>
+ <li><code><a href="din32645.html">din32645</a></code></li>
+ </ul>
+
+ <p><a href="inverse.predict.html">Predict x from y for a linear calibration</a></p>
+ <ul>
+ <li><code><a href="inverse.predict.html">inverse.predict</a></code></li><li><code><a href="inverse.predict.html">inverse.predict.lm</a></code></li><li><code><a href="inverse.predict.html">inverse.predict.rlm</a></code></li><li><code><a href="inverse.predict.html">inverse.predict.default</a></code></li>
+ </ul>
+
+ <p><a href="lod.html">Estimate a limit of detection (LOD)</a></p>
+ <ul>
+ <li><code><a href="lod.html">lod</a></code></li><li><code><a href="lod.html">lod.lm</a></code></li><li><code><a href="lod.html">lod.rlm</a></code></li><li><code><a href="lod.html">lod.default</a></code></li>
+ </ul>
+
+ <p><a href="loq.html">Estimate a limit of quantification (LOQ)</a></p>
+ <ul>
+ <li><code><a href="loq.html">loq</a></code></li><li><code><a href="loq.html">loq.lm</a></code></li><li><code><a href="loq.html">loq.rlm</a></code></li><li><code><a href="loq.html">loq.default</a></code></li>
+ </ul>
+
+ <p><a href="massart97ex1.html">Calibration data from Massart et al. (1997), example 1</a></p>
+ <ul>
+ <li><code><a href="massart97ex1.html">massart97ex1</a></code></li>
+ </ul>
+
+ <p><a href="massart97ex3.html">Calibration data from Massart et al. (1997), example 3</a></p>
+ <ul>
+ <li><code><a href="massart97ex3.html">massart97ex3</a></code></li>
+ </ul>
+
+ </div>
+ </div>
+
+ <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+ <h2>Contents</h2>
+ <ul class="nav nav-pills nav-stacked">
+ <li><a href="#section-all-functions">All functions</a></li>
+ </ul>
+ </div>
+</div>
+
+ <footer>
+ <div class="copyright">
+ <p>Developed by Johannes Ranke.</p>
+</div>
+
+<div class="pkgdown">
+ <p>Site built with <a href="http://hadley.github.io/pkgdown/">pkgdown</a>.</p>
+</div>
+
+ </footer>
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+
+ </body>
+</html>
diff --git a/docs/reference/inverse.predict.html b/docs/reference/inverse.predict.html
new file mode 100644
index 0000000..60d169c
--- /dev/null
+++ b/docs/reference/inverse.predict.html
@@ -0,0 +1,211 @@
+<!-- Generated by pkgdown: do not edit by hand -->
+<!DOCTYPE html>
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+ <div class="row">
+ <div class="col-md-9 contents">
+ <div class="page-header">
+ <h1>Predict x from y for a linear calibration</h1>
+ </div>
+
+
+ <p>This function predicts x values using a univariate linear model that has been
+ generated for the purpose of calibrating a measurement method. Prediction
+ intervals are given at the specified confidence level.
+ The calculation method was taken from Massart et al. (1997). In particular,
+ Equations 8.26 and 8.28 were combined in order to yield a general treatment
+ of inverse prediction for univariate linear models, taking into account
+ weights that have been used to create the linear model, and at the same
+ time providing the possibility to specify a precision in sample measurements
+ differing from the precision in standard samples used for the calibration.
+ This is elaborated in the package vignette.</p>
+
+
+ <pre>inverse.predict(object, newdata, &#8230;,
+ ws, alpha=0.05, var.s = "auto")</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
+ <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>newdata</dt>
+ <dd>
+ A vector of observed y values for one sample.
+ </dd>
+ <dt>&#8230;</dt>
+ <dd>
+ Placeholder for further arguments that might be needed by
+ future implementations.
+ </dd>
+ <dt>ws</dt>
+ <dd>
+ The weight attributed to the sample. This argument is obligatory
+ if <code>object</code> has weights.
+ </dd>
+ <dt>alpha</dt>
+ <dd>
+ The error tolerance level for the confidence interval to be reported.
+ </dd>
+ <dt>var.s</dt>
+ <dd>
+ The estimated variance of the sample measurements. The default is to take
+ the residual standard error from the calibration and to adjust it
+ using <code>ws</code>, if applicable. This means that <code>var.s</code>
+ overrides <code>ws</code>.
+ </dd>
+ </dl>
+
+ <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+ <p>A list containing the predicted x value, its standard error and a
+ confidence interval.</p>
+
+ <h2 class="hasAnchor" id="note"><a class="anchor" href="#note"></a>Note</h2>
+
+ <p>The function was validated with examples 7 and 8 from Massart et al. (1997).</p>
+
+ <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>
+
+ <p>Massart, L.M, Vandenginste, B.G.M., Buydens, L.M.C., De Jong, S., Lewi, P.J.,
+ Smeyers-Verbeke, J. (1997) Handbook of Chemometrics and Qualimetrics: Part A,
+ p. 200</p>
+
+
+ <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
+ <pre class="examples"><div class='input'><span class='co'># This is example 7 from Chapter 8 in Massart et al. (1997)</span>
+<span class='fu'>data</span>(<span class='no'>massart97ex1</span>)
+<span class='no'>m</span> <span class='kw'>&lt;-</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'>massart97ex1</span>)
+<span class='fu'>inverse.predict</span>(<span class='no'>m</span>, <span class='fl'>15</span>) <span class='co'># 6.1 +- 4.9</span></div><div class='output co'>#&gt; $Prediction
+#&gt; [1] 6.09381
+#&gt;
+#&gt; $`Standard Error`
+#&gt; [1] 1.767278
+#&gt;
+#&gt; $Confidence
+#&gt; [1] 4.906751
+#&gt;
+#&gt; $`Confidence Limits`
+#&gt; [1] 1.187059 11.000561
+#&gt; </div><div class='input'><span class='fu'>inverse.predict</span>(<span class='no'>m</span>, <span class='fl'>90</span>) <span class='co'># 43.9 +- 4.9</span></div><div class='output co'>#&gt; $Prediction
+#&gt; [1] 43.93983
+#&gt;
+#&gt; $`Standard Error`
+#&gt; [1] 1.767747
+#&gt;
+#&gt; $Confidence
+#&gt; [1] 4.908053
+#&gt;
+#&gt; $`Confidence Limits`
+#&gt; [1] 39.03178 48.84788
+#&gt; </div><div class='input'><span class='fu'>inverse.predict</span>(<span class='no'>m</span>, <span class='fu'>rep</span>(<span class='fl'>90</span>,<span class='fl'>5</span>)) <span class='co'># 43.9 +- 3.2</span></div><div class='output co'>#&gt; $Prediction
+#&gt; [1] 43.93983
+#&gt;
+#&gt; $`Standard Error`
+#&gt; [1] 1.141204
+#&gt;
+#&gt; $Confidence
+#&gt; [1] 3.168489
+#&gt;
+#&gt; $`Confidence Limits`
+#&gt; [1] 40.77134 47.10832
+#&gt; </div></pre>
+ </div>
+ <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+ <h2>Contents</h2>
+ <ul class="nav nav-pills nav-stacked">
+ <li><a href="#arguments">Arguments</a></li>
+
+ <li><a href="#value">Value</a></li>
+
+ <li><a href="#note">Note</a></li>
+
+ <li><a href="#references">References</a></li>
+
+ <li><a href="#examples">Examples</a></li>
+ </ul>
+
+ </div>
+</div>
+
+ <footer>
+ <div class="copyright">
+ <p>Developed by Johannes Ranke.</p>
+</div>
+
+<div class="pkgdown">
+ <p>Site built with <a href="http://hadley.github.io/pkgdown/">pkgdown</a>.</p>
+</div>
+
+ </footer>
+ </div>
+
+ </body>
+</html>
diff --git a/docs/reference/lod.html b/docs/reference/lod.html
new file mode 100644
index 0000000..7c33d47
--- /dev/null
+++ b/docs/reference/lod.html
@@ -0,0 +1,210 @@
+<!-- Generated by pkgdown: do not edit by hand -->
+<!DOCTYPE html>
+<html>
+ <head>
+ <meta charset="utf-8">
+<meta http-equiv="X-UA-Compatible" content="IE=edge">
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+
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+
+<!-- Font Awesome icons -->
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+
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+
+ <body>
+ <div class="container template-reference-topic">
+ <header>
+ <div class="navbar navbar-default navbar-fixed-top" role="navigation">
+ <div class="container">
+ <div class="navbar-header">
+ <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar">
+ <span class="icon-bar"></span>
+ <span class="icon-bar"></span>
+ <span class="icon-bar"></span>
+ </button>
+ <a class="navbar-brand" href="../index.html">chemCal</a>
+ </div>
+ <div id="navbar" class="navbar-collapse collapse">
+ <ul class="nav navbar-nav">
+ <li>
+ <a href="../reference/index.html">Reference</a>
+</li>
+<li>
+ <a href="../articles/index.html">Articles</a>
+</li>
+ </ul>
+
+ <ul class="nav navbar-nav navbar-right">
+
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+ </div><!--/.nav-collapse -->
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+</div><!--/.navbar -->
+
+
+ </header>
+
+ <div class="row">
+ <div class="col-md-9 contents">
+ <div class="page-header">
+ <h1>Estimate a limit of detection (LOD)</h1>
+ </div>
+
+
+ <p>The decision limit (German: Nachweisgrenze) is defined as the signal or
+ analyte concentration that is significantly different from the blank signal
+ with a first order error alpha (one-sided significance test).
+ The detection limit, or more precise, the minimum detectable value
+ (German: Erfassungsgrenze), is then defined as the signal or analyte
+ concentration where the probability that the signal is not detected although
+ the analyte is present (type II or false negative error), is beta (also a
+ one-sided significance test).</p>
+
+
+ <pre>lod(object, &#8230;, alpha = 0.05, beta = 0.05, method = "default", tol = "default")</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
+ <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>,
+ optionally from a weighted regression.
+ </dd>
+ <dt>&#8230;</dt>
+ <dd>
+ Placeholder for further arguments that might be needed by
+ future implementations.
+ </dd>
+ <dt>alpha</dt>
+ <dd>
+ The error tolerance for the decision limit (critical value).
+ </dd>
+ <dt>beta</dt>
+ <dd>
+ The error tolerance beta for the detection limit.
+ </dd>
+ <dt>method</dt>
+ <dd>
+ The &#8220;default&#8221; method uses a prediction interval at the LOD
+ for the estimation of the LOD, which obviously requires
+ iteration. This is described for example in Massart, p. 432 ff.
+ The &#8220;din&#8221; method uses the prediction interval at
+ x = 0 as an approximation.
+ </dd>
+ <dt>tol</dt>
+ <dd>
+ When the &#8220;default&#8221; method is used, the default tolerance
+ for the LOD on the x scale is the value of the smallest non-zero standard
+ divided by 1000. Can be set to a numeric value to override this.
+ </dd>
+ </dl>
+
+ <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+ <p>A list containig the corresponding x and y values of the estimated limit of
+ detection of a model used for calibration.</p>
+
+ <h2 class="hasAnchor" id="note"><a class="anchor" href="#note"></a>Note</h2>
+
+ <p>- The default values for alpha and beta are the ones recommended by IUPAC.
+ - The estimation of the LOD in terms of the analyte amount/concentration
+ xD from the LOD in the signal domain SD is done by simply inverting the
+ calibration function (i.e. assuming a known calibration function).
+ - The calculation of a LOD from weighted calibration models requires
+ a weights argument for the internally used <code>predict.lm</code>
+ function, which is currently not supported in R.</p>
+
+ <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>
+
+ <p>Massart, L.M, Vandenginste, B.G.M., Buydens, L.M.C., De Jong, S., Lewi, P.J.,
+ Smeyers-Verbeke, J. (1997) Handbook of Chemometrics and Qualimetrics: Part A,
+ Chapter 13.7.8</p>
+ <p>J. Inczedy, T. Lengyel, and A.M. Ure (2002) International Union of Pure and
+ Applied Chemistry Compendium of Analytical Nomenclature: Definitive Rules.
+ Web edition.</p>
+ <p>Currie, L. A. (1997) Nomenclature in evaluation of analytical methods including
+ detection and quantification capabilities (IUPAC Recommendations 1995).
+ Analytica Chimica Acta 391, 105 - 126.</p>
+
+ <h2 class="hasAnchor" id="see-also"><a class="anchor" href="#see-also"></a>See also</h2>
+
+ <p>Examples for <code><a href='din32645.html'>din32645</a></code></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'>din32645</span>)
+<span class='no'>m</span> <span class='kw'>&lt;-</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'>din32645</span>)
+<span class='fu'>lod</span>(<span class='no'>m</span>)</div><div class='output co'>#&gt; $x
+#&gt; [1] 0.08655484
+#&gt;
+#&gt; $y
+#&gt; 1
+#&gt; 3317.154
+#&gt; </div><div class='input'>
+<span class='co'># The critical value (decision limit, German Nachweisgrenze) can be obtained</span>
+<span class='co'># by using beta = 0.5:</span>
+<span class='fu'>lod</span>(<span class='no'>m</span>, <span class='kw'>alpha</span> <span class='kw'>=</span> <span class='fl'>0.01</span>, <span class='kw'>beta</span> <span class='kw'>=</span> <span class='fl'>0.5</span>)</div><div class='output co'>#&gt; $x
+#&gt; [1] 0.0698127
+#&gt;
+#&gt; $y
+#&gt; 1
+#&gt; 3155.393
+#&gt; </div></pre>
+ </div>
+ <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+ <h2>Contents</h2>
+ <ul class="nav nav-pills nav-stacked">
+ <li><a href="#arguments">Arguments</a></li>
+
+ <li><a href="#value">Value</a></li>
+
+ <li><a href="#note">Note</a></li>
+
+ <li><a href="#references">References</a></li>
+
+ <li><a href="#see-also">See also</a></li>
+
+ <li><a href="#examples">Examples</a></li>
+ </ul>
+
+ </div>
+</div>
+
+ <footer>
+ <div class="copyright">
+ <p>Developed by Johannes Ranke.</p>
+</div>
+
+<div class="pkgdown">
+ <p>Site built with <a href="http://hadley.github.io/pkgdown/">pkgdown</a>.</p>
+</div>
+
+ </footer>
+ </div>
+
+ </body>
+</html>
diff --git a/docs/reference/loq.html b/docs/reference/loq.html
new file mode 100644
index 0000000..bc62e75
--- /dev/null
+++ b/docs/reference/loq.html
@@ -0,0 +1,205 @@
+<!-- Generated by pkgdown: do not edit by hand -->
+<!DOCTYPE html>
+<html>
+ <head>
+ <meta charset="utf-8">
+<meta http-equiv="X-UA-Compatible" content="IE=edge">
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+
+<title>Estimate a limit of quantification (LOQ) — loq • chemCal</title>
+
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+<!-- Bootstrap -->
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+<link href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u" crossorigin="anonymous">
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+
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+ <div class="container template-reference-topic">
+ <header>
+ <div class="navbar navbar-default navbar-fixed-top" role="navigation">
+ <div class="container">
+ <div class="navbar-header">
+ <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar">
+ <span class="icon-bar"></span>
+ <span class="icon-bar"></span>
+ <span class="icon-bar"></span>
+ </button>
+ <a class="navbar-brand" href="../index.html">chemCal</a>
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+ <div id="navbar" class="navbar-collapse collapse">
+ <ul class="nav navbar-nav">
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+ <a href="../reference/index.html">Reference</a>
+</li>
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+</li>
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+
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+
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+</div><!--/.navbar -->
+
+
+ </header>
+
+ <div class="row">
+ <div class="col-md-9 contents">
+ <div class="page-header">
+ <h1>Estimate a limit of quantification (LOQ)</h1>
+ </div>
+
+
+ <p>The limit of quantification is the x value, where the relative error
+ of the quantification given the calibration model reaches a prespecified
+ value 1/k. Thus, it is the solution of the equation
+ $$L = k c(L)$$
+ where c(L) is half of the length of the confidence interval at the limit L
+ (DIN 32645, equivalent to ISO 11843). c(L) is internally estimated by
+ <code><a href='inverse.predict.html'>inverse.predict</a></code>, and L is obtained by iteration.</p>
+
+
+ <pre>loq(object, &#8230;, alpha = 0.05, k = 3, n = 1, w.loq = "auto",
+ var.loq = "auto", tol = "default")</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
+ <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>,
+ optionally from a weighted regression. If weights are specified
+ in the model, either <code>w.loq</code> or <code>var.loq</code> have to
+ be specified.
+ </dd>
+ <dt>alpha</dt>
+ <dd>
+ The error tolerance for the prediction of x values in the calculation.
+ </dd>
+ <dt>&#8230;</dt>
+ <dd>
+ Placeholder for further arguments that might be needed by
+ future implementations.
+ </dd>
+ <dt>k</dt>
+ <dd>
+ The inverse of the maximum relative error tolerated at the
+ desired LOQ.
+ </dd>
+ <dt>n</dt>
+ <dd>
+ The number of replicate measurements for which the LOQ should be
+ specified.
+ </dd>
+ <dt>w.loq</dt>
+ <dd>
+ The weight that should be attributed to the LOQ. Defaults
+ to one for unweighted regression, and to the mean of the weights
+ for weighted regression. See <code><a href='massart97ex3.html'>massart97ex3</a></code> for
+ an example how to take advantage of knowledge about the
+ variance function.
+ </dd>
+ <dt>var.loq</dt>
+ <dd>
+ The approximate variance at the LOQ. The default value is
+ calculated from the model.
+ </dd>
+ <dt>tol</dt>
+ <dd>
+ The default tolerance for the LOQ on the x scale is the value of the
+ smallest non-zero standard divided by 1000. Can be set to a
+ numeric value to override this.
+ </dd>
+ </dl>
+
+ <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+ <p>The estimated limit of quantification for a model used for calibration.</p>
+
+ <h2 class="hasAnchor" id="note"><a class="anchor" href="#note"></a>Note</h2>
+
+ <p>- IUPAC recommends to base the LOQ on the standard deviation of the signal
+ where x = 0.
+ - The calculation of a LOQ based on weighted regression is non-standard
+ and therefore not tested. Feedback is welcome.</p>
+
+ <h2 class="hasAnchor" id="see-also"><a class="anchor" href="#see-also"></a>See also</h2>
+
+ <p>Examples for <code><a href='din32645.html'>din32645</a></code></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='fu'>attach</span>(<span class='no'>massart97ex3</span>)
+<span class='no'>m</span> <span class='kw'>&lt;-</span> <span class='fu'>lm</span>(<span class='no'>y</span> ~ <span class='no'>x</span>)
+<span class='fu'>loq</span>(<span class='no'>m</span>)</div><div class='output co'>#&gt; $x
+#&gt; [1] 13.97764
+#&gt;
+#&gt; $y
+#&gt; 1
+#&gt; 30.6235
+#&gt; </div><div class='input'>
+<span class='co'># We can get better by using replicate measurements</span>
+<span class='fu'>loq</span>(<span class='no'>m</span>, <span class='kw'>n</span> <span class='kw'>=</span> <span class='fl'>3</span>)</div><div class='output co'>#&gt; $x
+#&gt; [1] 9.971963
+#&gt;
+#&gt; $y
+#&gt; 1
+#&gt; 22.68539
+#&gt; </div></pre>
+ </div>
+ <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+ <h2>Contents</h2>
+ <ul class="nav nav-pills nav-stacked">
+ <li><a href="#arguments">Arguments</a></li>
+
+ <li><a href="#value">Value</a></li>
+
+ <li><a href="#note">Note</a></li>
+
+ <li><a href="#see-also">See also</a></li>
+
+ <li><a href="#examples">Examples</a></li>
+ </ul>
+
+ </div>
+</div>
+
+ <footer>
+ <div class="copyright">
+ <p>Developed by Johannes Ranke.</p>
+</div>
+
+<div class="pkgdown">
+ <p>Site built with <a href="http://hadley.github.io/pkgdown/">pkgdown</a>.</p>
+</div>
+
+ </footer>
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+
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+</html>
diff --git a/docs/reference/massart97ex1.html b/docs/reference/massart97ex1.html
new file mode 100644
index 0000000..9b95a5f
--- /dev/null
+++ b/docs/reference/massart97ex1.html
@@ -0,0 +1,118 @@
+<!-- Generated by pkgdown: do not edit by hand -->
+<!DOCTYPE html>
+<html>
+ <head>
+ <meta charset="utf-8">
+<meta http-equiv="X-UA-Compatible" content="IE=edge">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
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+
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+
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+
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+ <div class="container template-reference-topic">
+ <header>
+ <div class="navbar navbar-default navbar-fixed-top" role="navigation">
+ <div class="container">
+ <div class="navbar-header">
+ <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar">
+ <span class="icon-bar"></span>
+ <span class="icon-bar"></span>
+ <span class="icon-bar"></span>
+ </button>
+ <a class="navbar-brand" href="../index.html">chemCal</a>
+ </div>
+ <div id="navbar" class="navbar-collapse collapse">
+ <ul class="nav navbar-nav">
+ <li>
+ <a href="../reference/index.html">Reference</a>
+</li>
+<li>
+ <a href="../articles/index.html">Articles</a>
+</li>
+ </ul>
+
+ <ul class="nav navbar-nav navbar-right">
+
+ </ul>
+ </div><!--/.nav-collapse -->
+ </div><!--/.container -->
+</div><!--/.navbar -->
+
+
+ </header>
+
+ <div class="row">
+ <div class="col-md-9 contents">
+ <div class="page-header">
+ <h1>Calibration data from Massart et al. (1997), example 1</h1>
+ </div>
+
+
+ <p>Sample dataset from p. 175 to test the package.</p>
+
+
+ <pre><span class='fu'>data</span>(<span class='no'>massart97ex1</span>)</pre>
+
+ <h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
+
+ <p>A dataframe containing 6 observations of x and y data.</p>
+
+ <h2 class="hasAnchor" id="source"><a class="anchor" href="#source"></a>Source</h2>
+
+ <p>Massart, L.M, Vandenginste, B.G.M., Buydens, L.M.C., De Jong, S., Lewi, P.J.,
+ Smeyers-Verbeke, J. (1997) Handbook of Chemometrics and Qualimetrics: Part A,
+ Chapter 8.</p>
+
+
+ </div>
+ <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+ <h2>Contents</h2>
+ <ul class="nav nav-pills nav-stacked">
+
+ <li><a href="#format">Format</a></li>
+
+ <li><a href="#source">Source</a></li>
+ </ul>
+
+ </div>
+</div>
+
+ <footer>
+ <div class="copyright">
+ <p>Developed by Johannes Ranke.</p>
+</div>
+
+<div class="pkgdown">
+ <p>Site built with <a href="http://hadley.github.io/pkgdown/">pkgdown</a>.</p>
+</div>
+
+ </footer>
+ </div>
+
+ </body>
+</html>
diff --git a/docs/reference/massart97ex3-5.png b/docs/reference/massart97ex3-5.png
new file mode 100644
index 0000000..c6c080e
--- /dev/null
+++ b/docs/reference/massart97ex3-5.png
Binary files differ
diff --git a/docs/reference/massart97ex3.html b/docs/reference/massart97ex3.html
new file mode 100644
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--- /dev/null
+++ b/docs/reference/massart97ex3.html
@@ -0,0 +1,188 @@
+<!-- Generated by pkgdown: do not edit by hand -->
+<!DOCTYPE html>
+<html>
+ <head>
+ <meta charset="utf-8">
+<meta http-equiv="X-UA-Compatible" content="IE=edge">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+
+<title>Calibration data from Massart et al. (1997), example 3 — massart97ex3 • chemCal</title>
+
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+<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
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+ </head>
+
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+ <div class="container template-reference-topic">
+ <header>
+ <div class="navbar navbar-default navbar-fixed-top" role="navigation">
+ <div class="container">
+ <div class="navbar-header">
+ <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar">
+ <span class="icon-bar"></span>
+ <span class="icon-bar"></span>
+ <span class="icon-bar"></span>
+ </button>
+ <a class="navbar-brand" href="../index.html">chemCal</a>
+ </div>
+ <div id="navbar" class="navbar-collapse collapse">
+ <ul class="nav navbar-nav">
+ <li>
+ <a href="../reference/index.html">Reference</a>
+</li>
+<li>
+ <a href="../articles/index.html">Articles</a>
+</li>
+ </ul>
+
+ <ul class="nav navbar-nav navbar-right">
+
+ </ul>
+ </div><!--/.nav-collapse -->
+ </div><!--/.container -->
+</div><!--/.navbar -->
+
+
+ </header>
+
+ <div class="row">
+ <div class="col-md-9 contents">
+ <div class="page-header">
+ <h1>Calibration data from Massart et al. (1997), example 3</h1>
+ </div>
+
+
+ <p>Sample dataset from p. 188 to test the package.</p>
+
+
+ <pre><span class='fu'>data</span>(<span class='no'>massart97ex3</span>)</pre>
+
+ <h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
+
+ <p>A dataframe containing 6 levels of x values with 5
+ observations of y for each level.</p>
+
+ <h2 class="hasAnchor" id="source"><a class="anchor" href="#source"></a>Source</h2>
+
+ <p>Massart, L.M, Vandenginste, B.G.M., Buydens, L.M.C., De Jong, S., Lewi, P.J.,
+ Smeyers-Verbeke, J. (1997) Handbook of Chemometrics and Qualimetrics: Part A,
+ Chapter 8.</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='fu'>attach</span>(<span class='no'>massart97ex3</span>)</div><div class='output co'>#&gt; <span class='message'>The following objects are masked from massart97ex3 (pos = 3):</span>
+#&gt; <span class='message'></span>
+#&gt; <span class='message'> x, y</span></div><div class='input'><span class='no'>yx</span> <span class='kw'>&lt;-</span> <span class='fu'>split</span>(<span class='no'>y</span>, <span class='no'>x</span>)
+<span class='no'>ybar</span> <span class='kw'>&lt;-</span> <span class='fu'>sapply</span>(<span class='no'>yx</span>, <span class='no'>mean</span>)
+<span class='no'>s</span> <span class='kw'>&lt;-</span> <span class='fu'>round</span>(<span class='fu'>sapply</span>(<span class='no'>yx</span>, <span class='no'>sd</span>), <span class='kw'>digits</span> <span class='kw'>=</span> <span class='fl'>2</span>)
+<span class='no'>w</span> <span class='kw'>&lt;-</span> <span class='fu'>round</span>(<span class='fl'>1</span> / (<span class='no'>s</span>^<span class='fl'>2</span>), <span class='kw'>digits</span> <span class='kw'>=</span> <span class='fl'>3</span>)
+<span class='no'>weights</span> <span class='kw'>&lt;-</span> <span class='no'>w</span>[<span class='fu'>factor</span>(<span class='no'>x</span>)]
+<span class='no'>m</span> <span class='kw'>&lt;-</span> <span class='fu'>lm</span>(<span class='no'>y</span> ~ <span class='no'>x</span>, <span class='kw'>w</span> <span class='kw'>=</span> <span class='no'>weights</span>)
+<span class='fu'><a href='calplot.html'>calplot</a></span>(<span class='no'>m</span>)</div><div class='output co'>#&gt; <span class='warning'>Warning: Assuming constant prediction variance even though model fit is weighted</span></div><img src='massart97ex3-5.png' alt='' width='540' height='400' /><div class='input'>
+<span class='co'># The following concords with the book p. 200</span>
+<span class='fu'><a href='inverse.predict.html'>inverse.predict</a></span>(<span class='no'>m</span>, <span class='fl'>15</span>, <span class='kw'>ws</span> <span class='kw'>=</span> <span class='fl'>1.67</span>) <span class='co'># 5.9 +- 2.5</span></div><div class='output co'>#&gt; $Prediction
+#&gt; [1] 5.865367
+#&gt;
+#&gt; $`Standard Error`
+#&gt; [1] 0.8926109
+#&gt;
+#&gt; $Confidence
+#&gt; [1] 2.478285
+#&gt;
+#&gt; $`Confidence Limits`
+#&gt; [1] 3.387082 8.343652
+#&gt; </div><div class='input'><span class='fu'><a href='inverse.predict.html'>inverse.predict</a></span>(<span class='no'>m</span>, <span class='fl'>90</span>, <span class='kw'>ws</span> <span class='kw'>=</span> <span class='fl'>0.145</span>) <span class='co'># 44.1 +- 7.9</span></div><div class='output co'>#&gt; $Prediction
+#&gt; [1] 44.06025
+#&gt;
+#&gt; $`Standard Error`
+#&gt; [1] 2.829162
+#&gt;
+#&gt; $Confidence
+#&gt; [1] 7.855012
+#&gt;
+#&gt; $`Confidence Limits`
+#&gt; [1] 36.20523 51.91526
+#&gt; </div><div class='input'>
+<span class='co'># The LOD is only calculated for models from unweighted regression</span>
+<span class='co'># with this version of chemCal</span>
+<span class='no'>m0</span> <span class='kw'>&lt;-</span> <span class='fu'>lm</span>(<span class='no'>y</span> ~ <span class='no'>x</span>)
+<span class='fu'><a href='lod.html'>lod</a></span>(<span class='no'>m0</span>)</div><div class='output co'>#&gt; $x
+#&gt; [1] 5.407085
+#&gt;
+#&gt; $y
+#&gt; 1
+#&gt; 13.63911
+#&gt; </div><div class='input'>
+<span class='co'># Limit of quantification from unweighted regression</span>
+<span class='fu'><a href='loq.html'>loq</a></span>(<span class='no'>m0</span>)</div><div class='output co'>#&gt; $x
+#&gt; [1] 13.97764
+#&gt;
+#&gt; $y
+#&gt; 1
+#&gt; 30.6235
+#&gt; </div><div class='input'>
+<span class='co'># For calculating the limit of quantification from a model from weighted</span>
+<span class='co'># regression, we need to supply weights, internally used for inverse.predict</span>
+<span class='co'># If we are not using a variance function, we can use the weight from</span>
+<span class='co'># the above example as a first approximation (x = 15 is close to our</span>
+<span class='co'># loq approx 14 from above).</span>
+<span class='fu'><a href='loq.html'>loq</a></span>(<span class='no'>m</span>, <span class='kw'>w.loq</span> <span class='kw'>=</span> <span class='fl'>1.67</span>)</div><div class='output co'>#&gt; $x
+#&gt; [1] 7.346195
+#&gt;
+#&gt; $y
+#&gt; 1
+#&gt; 17.90777
+#&gt; </div><div class='input'><span class='co'># The weight for the loq should therefore be derived at x = 7.3 instead</span>
+<span class='co'># of 15, but the graphical procedure of Massart (p. 201) to derive the </span>
+<span class='co'># variances on which the weights are based is quite inaccurate anyway. </span></div></pre>
+ </div>
+ <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+ <h2>Contents</h2>
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+
+ <li><a href="#format">Format</a></li>
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+ </ul>
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