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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/inverse.predict.html
parentb7e28fd4357d7ba353be74ba5c53550fb54d3a8a (diff)
Static documentation rebuilt using current pkgdown
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@@ -18,19 +18,37 @@
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+<!-- clipboard.js -->
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<link href="../pkgdown.css" rel="stylesheet">
<script src="../jquery.sticky-kit.min.js"></script>
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+
+
+<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.
+ 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." />
+<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>
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+
+
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<body>
@@ -85,43 +103,44 @@
This is elaborated in the package vignette.</p>
- <pre>inverse.predict(object, newdata, &#8230;,
+ <pre class="usage">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
+ <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>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
+ with model formula <code>y ~ x</code> or <code>y ~ x - 1</code>.</p></td>
+ </tr>
+ <tr>
+ <th>newdata</th>
+ <td><p>A vector of observed y values for one sample.</p></td>
+ </tr>
+ <tr>
+ <th>&#8230;</th>
+ <td><p>Placeholder for further arguments that might be needed by
+ future implementations.</p></td>
+ </tr>
+ <tr>
+ <th>ws</th>
+ <td><p>The weight attributed to the sample. This argument is obligatory
+ if <code>object</code> has weights.</p></td>
+ </tr>
+ <tr>
+ <th>alpha</th>
+ <td><p>The error tolerance level for the confidence interval to be reported.</p></td>
+ </tr>
+ <tr>
+ <th>var.s</th>
+ <td><p>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>
+ overrides <code>ws</code>.</p></td>
+ </tr>
+ </table>
<h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
@@ -201,7 +220,7 @@
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<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>
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