Fix inverse predictions for replicate measurements

For details, see NEWS.md

1 files changed, 23 insertions, 35 deletions

diff --git a/docs/reference/din32645.html b/docs/reference/din32645.html
index 03170e0..dbc9504 100644
--- a/docs/reference/din32645.html
+++ b/docs/reference/din32645.html
@@ -61,17 +61,26 @@
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-        <span class="label label-default" data-toggle="tooltip" data-placement="bottom" title="Released package">0.1.37.9001</span>
+        <span class="label label-default" data-toggle="tooltip" data-placement="bottom" title="Released package">0.2.1</span>
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@@ -118,33 +127,17 @@
     
 
     <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'>calplot</span>(<span class='no'>m</span>)</div><div class='img'><img src='din32645-1.png' alt='' width='700' height='433' /></div><div class='input'>
+    <pre class="examples"><div class='input'><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.lm.html'>calplot</a></span>(<span class='no'>m</span>)</div><div class='img'><img src='din32645-1.png' alt='' width='700' height='433' /></div><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'>inverse.predict</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; $`Confidence Limits`
-#&gt; [1] 0.03113656 0.17982178
-#&gt; </div><div class='input'>
+<span class='no'>prediction</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='inverse.predict.html'>inverse.predict</a></span>(<span class='no'>m</span>, <span class='fl'>3500</span>, <span class='kw'>alpha</span> <span class='kw'>=</span> <span class='fl'>0.01</span>)
+
 <span class='co'># This should give 0.07434 according to test data from Dintest, which </span>
 <span class='co'># was collected from Procontrol 3.1 (isomehr GmbH) in this case</span>
-<span class='fu'>round</span>(<span class='no'>prediction</span>$<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='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'>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; $y
-#&gt;        1 
-#&gt; 3155.393 
-#&gt; </div><div class='input'>
+<span class='no'>crit</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='lod.html'>lod</a></span>(<span class='no'>m</span>, <span class='kw'>alpha</span> <span class='kw'>=</span> <span class='fl'>0.01</span>, <span class='kw'>beta</span> <span class='kw'>=</span> <span class='fl'>0.5</span>)
+
 <span class='co'># According to DIN 32645, we should get 0.07 for the critical value</span>
 <span class='co'># (decision limit, "Nachweisgrenze")</span>
 <span class='fu'>round</span>(<span class='no'>crit</span>$<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>
@@ -153,21 +146,16 @@
 <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'>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'>0.01</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"din"</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'>loq</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='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>)
+<span class='fu'>round</span>(<span class='no'>loq</span>$<span class='no'>x</span>, <span class='fl'>4</span>)</div><div class='output co'>#&gt; [1] 0.212</div><div class='input'>
 <span class='co'># A similar value is obtained using the approximation </span>
 <span class='co'># LQ = 3.04 * LC (Currie 1999, p. 120)</span>
-<span class='fl'>3.04</span> * <span class='fu'>lod</span>(<span class='no'>m</span>,<span class='kw'>alpha</span> <span class='kw'>=</span> <span class='fl'>0.01</span>, <span class='kw'>beta</span> <span class='kw'>=</span> <span class='fl'>0.5</span>)$<span class='no'>x</span></div><div class='output co'>#&gt; [1] 0.2122306</div></pre>
+<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>
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