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| author | Johannes Ranke <jranke@uni-bremen.de> | 2018-03-01 10:35:09 +0100 |
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2018-03-01 10:35:09 +0100 |
| commit | 966da79af48c371c05dd8011702ef2bd3b1d1e03 (patch) | |
| tree | f14a97f3d7ee962031af9c41a4bbe5d7391a9f85 /docs/reference/inverse.predict.html | |
| parent | b7e28fd4357d7ba353be74ba5c53550fb54d3a8a (diff) | |
Static documentation rebuilt using current pkgdown
Diffstat (limited to 'docs/reference/inverse.predict.html')
| -rw-r--r-- | docs/reference/inverse.predict.html | 85 |
1 files changed, 52 insertions, 33 deletions
diff --git a/docs/reference/inverse.predict.html b/docs/reference/inverse.predict.html index af05986..32f8f44 100644 --- a/docs/reference/inverse.predict.html +++ b/docs/reference/inverse.predict.html @@ -18,19 +18,37 @@ <!-- Font Awesome icons --> <link href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css" rel="stylesheet" integrity="sha384-T8Gy5hrqNKT+hzMclPo118YTQO6cYprQmhrYwIiQ/3axmI1hQomh7Ud2hPOy8SP1" crossorigin="anonymous"> +<!-- clipboard.js --> +<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/1.7.1/clipboard.min.js" integrity="sha384-cV+rhyOuRHc9Ub/91rihWcGmMmCXDeksTtCihMupQHSsi8GIIRDG0ThDc3HGQFJ3" crossorigin="anonymous"></script> <!-- pkgdown --> <link href="../pkgdown.css" rel="stylesheet"> <script src="../jquery.sticky-kit.min.js"></script> <script src="../pkgdown.js"></script> + + +<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> <!--[if lt IE 9]> <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script> <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script> <![endif]--> + + </head> <body> @@ -85,43 +103,44 @@ This is elaborated in the package vignette.</p> - <pre>inverse.predict(object, newdata, …, + <pre class="usage">inverse.predict(object, newdata, …, 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>…</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>…</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 @@ </div> <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> </div> </footer> |