Static documentation rebuilt by pkgdown::build_site()

1 files changed, 52 insertions, 49 deletions

diff --git a/docs/reference/inverse.predict.html b/docs/reference/inverse.predict.html
index 4ea9a75..3c4c867 100644
--- a/docs/reference/inverse.predict.html
+++ b/docs/reference/inverse.predict.html
@@ -8,21 +8,29 @@
 
 <title>Predict x from y for a linear calibration — inverse.predict • chemCal</title>
 
+
 <!-- jquery -->
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@@ -30,8 +38,8 @@
 
 
 
-<meta property="og:title" content="Predict x from y for a linear calibration — inverse.predict" />
 
+<meta property="og:title" content="Predict x from y for a linear calibration — inverse.predict" />
 <meta property="og:description" content="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.
@@ -42,7 +50,7 @@
   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." />
-<meta name="twitter:card" content="summary" />
+
 
 
 
@@ -56,9 +64,10 @@
 <![endif]-->
 
 
+
   </head>
 
-  <body>
+  <body data-spy="scroll" data-target="#toc">
     <div class="container template-reference-topic">
       <header>
       <div class="navbar navbar-default navbar-fixed-top" role="navigation">
@@ -80,7 +89,7 @@
       <ul class="nav navbar-nav">
         <li>
   <a href="../index.html">
-    <span class="fa fa-home fa-lg"></span>
+    <span class="fas fa fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -94,9 +103,13 @@
   <a href="../news/index.html">Changelog</a>
 </li>
       </ul>
-      
       <ul class="nav navbar-nav navbar-right">
-        
+        <li>
+  <a href="http://github.com/jranke/chemCal/">
+    <span class="fab fa fab fa-github fa-lg"></span>
+     
+  </a>
+</li>
       </ul>
       
     </div><!--/.nav-collapse -->
@@ -104,6 +117,7 @@
 </div><!--/.navbar -->
 
       
+
       </header>
 
 <div class="row">
@@ -115,7 +129,6 @@
     </div>
 
     <div class="ref-description">
-    
     <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.
@@ -126,19 +139,18 @@
   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>
-    
     </div>
 
-    <pre class="usage">inverse.predict(object, newdata, &#8230;,
-  ws, alpha=0.05, var.s = "auto")</pre>
-    
+    <pre class="usage"><span class='fu'>inverse.predict</span>(<span class='no'>object</span>, <span class='no'>newdata</span>, <span class='no'>...</span>,
+  <span class='no'>ws</span>, <span class='kw'>alpha</span><span class='kw'>=</span><span class='fl'>0.05</span>, <span class='kw'>var.s</span> <span class='kw'>=</span> <span class='st'>"auto"</span>)</pre>
+
     <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
     <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><a href='https://www.rdocumentation.org/packages/stats/topics/lm'>lm</a></code> or 
-    <code><a href='https://www.rdocumentation.org/packages/MASS/topics/rlm'>rlm</a></code> 
+      <td><p>A univariate model object of class <code><a href='https://rdrr.io/r/stats/lm.html'>lm</a></code> or 
+    <code><a href='https://rdrr.io/pkg/MASS/man/rlm.html'>rlm</a></code> 
     with model formula <code>y ~ x</code> or <code>y ~ x - 1</code>.</p></td>
     </tr>
     <tr>
@@ -146,7 +158,7 @@
       <td><p>A vector of observed y values for one sample.</p></td>
     </tr>
     <tr>
-      <th>&#8230;</th>
+      <th>...</th>
       <td><p>Placeholder for further arguments that might be needed by 
     future implementations.</p></td>
     </tr>
@@ -167,12 +179,11 @@
     overrides <code>ws</code>.</p></td>
     </tr>
     </table>
-    
+
     <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). 
@@ -180,17 +191,15 @@
   0.2.1. Confidence intervals for x values obtained from calibrations with
   replicate measurements did not take the variation about the means into account.
   Please refer to the vignette for details.</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='no'>m</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/lm'>lm</a></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='no'>m</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/lm.html'>lm</a></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; 
@@ -213,7 +222,7 @@
 #&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'><a href='https://www.rdocumentation.org/packages/base/topics/rep'>rep</a></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; </div><div class='input'><span class='fu'>inverse.predict</span>(<span class='no'>m</span>, <span class='fu'><a href='https://rdrr.io/r/base/rep.html'>rep</a></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`
@@ -227,16 +236,16 @@
 #&gt; </div><div class='input'>
 <span class='co'># For reproducing the results for replicate standard measurements in example 8,</span>
 <span class='co'># we need to do the calibration on the means when using chemCal &gt; 0.2</span>
-<span class='no'>weights</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/with'>with</a></span>(<span class='no'>massart97ex3</span>, {
-  <span class='no'>yx</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/split'>split</a></span>(<span class='no'>y</span>, <span class='no'>x</span>)
-  <span class='no'>ybar</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/lapply'>sapply</a></span>(<span class='no'>yx</span>, <span class='no'>mean</span>)
-  <span class='no'>s</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/Round'>round</a></span>(<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/lapply'>sapply</a></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'><a href='https://www.rdocumentation.org/packages/base/topics/Round'>round</a></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='fu'><a href='https://rdrr.io/r/base/with.html'>with</a></span>(<span class='no'>massart97ex3</span>, {
+  <span class='no'>yx</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/split.html'>split</a></span>(<span class='no'>y</span>, <span class='no'>x</span>)
+  <span class='no'>ybar</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/lapply.html'>sapply</a></span>(<span class='no'>yx</span>, <span class='no'>mean</span>)
+  <span class='no'>s</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/Round.html'>round</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/lapply.html'>sapply</a></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'><a href='https://rdrr.io/r/base/Round.html'>round</a></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'>massart97ex3.means</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/aggregate'>aggregate</a></span>(<span class='no'>y</span> ~ <span class='no'>x</span>, <span class='no'>massart97ex3</span>, <span class='no'>mean</span>)
+<span class='no'>massart97ex3.means</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/aggregate.html'>aggregate</a></span>(<span class='no'>y</span> ~ <span class='no'>x</span>, <span class='no'>massart97ex3</span>, <span class='no'>mean</span>)
 
-<span class='no'>m3.means</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/lm'>lm</a></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='kw'>data</span> <span class='kw'>=</span> <span class='no'>massart97ex3.means</span>)
+<span class='no'>m3.means</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/lm.html'>lm</a></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='kw'>data</span> <span class='kw'>=</span> <span class='no'>massart97ex3.means</span>)
 
 <span class='fu'>inverse.predict</span>(<span class='no'>m3.means</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
@@ -263,36 +272,30 @@
 #&gt; </div><div class='input'>
 </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 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>
 
+
       <footer>
       <div class="copyright">
   <p>Developed by Johannes Ranke.</p>
 </div>
 
 <div class="pkgdown">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.3.0.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
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