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authorJohannes Ranke <jranke@uni-bremen.de>2018-03-01 10:35:09 +0100
committerJohannes Ranke <jranke@uni-bremen.de>2018-03-01 10:35:09 +0100
commit966da79af48c371c05dd8011702ef2bd3b1d1e03 (patch)
treef14a97f3d7ee962031af9c41a4bbe5d7391a9f85 /docs/reference/din32645.html
parentb7e28fd4357d7ba353be74ba5c53550fb54d3a8a (diff)
Static documentation rebuilt using current pkgdown
Diffstat (limited to 'docs/reference/din32645.html')
-rw-r--r--docs/reference/din32645.html31
1 files changed, 20 insertions, 11 deletions
diff --git a/docs/reference/din32645.html b/docs/reference/din32645.html
index 65a9268..5e2bf2d 100644
--- a/docs/reference/din32645.html
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@@ -18,19 +18,28 @@
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+<meta property="og:title" content="Calibration data from DIN 32645 — din32645" />
+<meta property="og:description" content="Sample dataset to test the package." />
+<meta name="twitter:card" content="summary" />
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@@ -76,7 +85,7 @@
<p>Sample dataset to test the package.</p>
- <pre><span class='fu'>data</span>(<span class='no'>din32645</span>)</pre>
+ <pre class="usage"><span class='fu'>data</span>(<span class='no'>din32645</span>)</pre>
<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
@@ -85,10 +94,10 @@
<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
+<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
+<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>
@@ -96,9 +105,9 @@
<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='fu'>calplot</span>(<span class='no'>m</span>)</div><div class='img'><img src='din32645-1.png' alt='' width='700' height='432.632880098887' /></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'><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
+(<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; $`Standard Error`
@@ -114,7 +123,7 @@
<span class='co'># was collected from Procontrol 3.1 (isomehr GmbH) in this case</span>
<span class='fu'>round</span>(<span class='no'>prediction</span>$<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
+(<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; $y
@@ -129,12 +138,12 @@
<span class='co'># In German, the smallest detectable value is the "Erfassungsgrenze", and we</span>
<span class='co'># should get 0.14 according to DIN, which we achieve by using the method </span>
<span class='co'># described in it:</span>
-<span class='no'>lod.din</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='lod.html'>lod</a></span>(<span class='no'>m</span>, <span class='kw'>alpha</span> <span class='kw'>=</span> <span class='fl'>0.01</span>, <span class='kw'>beta</span> <span class='kw'>=</span> <span class='fl'>0.01</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"din"</span>)
+<span class='no'>lod.din</span> <span class='kw'>&lt;-</span> <span class='fu'>lod</span>(<span class='no'>m</span>, <span class='kw'>alpha</span> <span class='kw'>=</span> <span class='fl'>0.01</span>, <span class='kw'>beta</span> <span class='kw'>=</span> <span class='fl'>0.01</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"din"</span>)
<span class='fu'>round</span>(<span class='no'>lod.din</span>$<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
+(<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; $y
@@ -143,7 +152,7 @@
#&gt; </div><div class='input'><span class='fu'>round</span>(<span class='no'>loq</span>$<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>)$<span class='no'>x</span></div><div class='output co'>#&gt; [1] 0.2122306</div></pre>
+<span class='fl'>3.04</span> * <span class='fu'>lod</span>(<span class='no'>m</span>,<span class='kw'>alpha</span> <span class='kw'>=</span> <span class='fl'>0.01</span>, <span class='kw'>beta</span> <span class='kw'>=</span> <span class='fl'>0.5</span>)$<span class='no'>x</span></div><div class='output co'>#&gt; [1] 0.2122306</div></pre>
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@@ -165,7 +174,7 @@
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