aboutsummaryrefslogtreecommitdiff
path: root/inst/web/lod.html
diff options
context:
space:
mode:
Diffstat (limited to 'inst/web/lod.html')
-rw-r--r--inst/web/lod.html198
1 files changed, 0 insertions, 198 deletions
diff --git a/inst/web/lod.html b/inst/web/lod.html
deleted file mode 100644
index 966ce1a..0000000
--- a/inst/web/lod.html
+++ /dev/null
@@ -1,198 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
- <head>
- <meta charset="utf-8">
-<title>lod. chemCal 0.1-37</title>
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
-<meta name="author" content="">
-
-<link href="css/bootstrap.css" rel="stylesheet">
-<link href="css/bootstrap-responsive.css" rel="stylesheet">
-<link href="css/highlight.css" rel="stylesheet">
-<link href="css/staticdocs.css" rel="stylesheet">
-
-<!--[if lt IE 9]>
- <script src="http://html5shim.googlecode.com/svn/trunk/html5.js"></script>
-<![endif]-->
-
-<script type="text/x-mathjax-config">
- MathJax.Hub.Config({
- tex2jax: {
- inlineMath: [ ['$','$'], ["\\(","\\)"] ],
- processEscapes: true
- }
- });
-</script>
-<script type="text/javascript"
- src="http://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML">
-</script>
- </head>
-
- <body>
- <div class="navbar">
- <div class="navbar-inner">
- <div class="container">
- <a class="brand" href="#">chemCal 0.1-37</a>
- <div class="nav">
- <ul class="nav">
- <li><a href="index.html"><i class="icon-home icon-white"></i> Index</a></li>
- </ul>
- </div>
- </div>
- </div>
-</div>
-
- <div class="container">
- <header>
-
- </header>
-
- <h1>Estimate a limit of detection (LOD)</h1>
-
-<div class="row">
- <div class="span8">
- <h2>Usage</h2>
- <pre><div>lod(object, ..., alpha&nbsp;=&nbsp;0.05, beta&nbsp;=&nbsp;0.05, method&nbsp;=&nbsp;"default", tol&nbsp;=&nbsp;"default")</div></pre>
-
- <h2>Arguments</h2>
- <dl>
- <dt>object</dt>
- <dd>
- A univariate model object of class <code><a href='http://www.inside-r.org/r-doc/stats/lm'>lm</a></code> or
- <code><a href='http://www.inside-r.org/r-doc/MASS/rlm'>rlm</a></code>
- with model formula <code>y ~ x</code> or <code>y ~ x - 1</code>,
- optionally from a weighted regression.
- </dd>
- <dt>...</dt>
- <dd>
- Placeholder for further arguments that might be needed by
- future implementations.
- </dd>
- <dt>alpha</dt>
- <dd>
- The error tolerance for the decision limit (critical value).
- </dd>
- <dt>beta</dt>
- <dd>
- The error tolerance beta for the detection limit.
- </dd>
- <dt>method</dt>
- <dd>
- The &#147;default&#148; method uses a prediction interval at the LOD
- for the estimation of the LOD, which obviously requires
- iteration. This is described for example in Massart, p. 432 ff.
- The &#147;din&#148; method uses the prediction interval at
- x = 0 as an approximation.
- </dd>
- <dt>tol</dt>
- <dd>
- When the &#147;default&#148; method is used, the default tolerance
- for the LOD on the x scale is the value of the smallest non-zero standard
- divided by 1000. Can be set to a numeric value to override this.
- </dd>
- </dl>
-
- <div class="Value">
- <h2>Value</h2>
-
- <p><dl>
- A list containig the corresponding x and y values of the estimated limit of
- detection of a model used for calibration.
-</dl></p>
-
- </div>
-
- <div class="Description">
- <h2>Description</h2>
-
- <p>The decision limit (German: Nachweisgrenze) is defined as the signal or
- analyte concentration that is significantly different from the blank signal
- with a first order error alpha (one-sided significance test).
- The detection limit, or more precise, the minimum detectable value
- (German: Erfassungsgrenze), is then defined as the signal or analyte
- concentration where the probability that the signal is not detected although
- the analyte is present (type II or false negative error), is beta (also a
- one-sided significance test).</p>
-
- </div>
-
- <div class="Note">
- <h2>Note</h2>
-
- <p>- The default values for alpha and beta are the ones recommended by IUPAC.
- - The estimation of the LOD in terms of the analyte amount/concentration
- xD from the LOD in the signal domain SD is done by simply inverting the
- calibration function (i.e. assuming a known calibration function).
- - The calculation of a LOD from weighted calibration models requires
- a weights argument for the internally used <code><a href='http://www.inside-r.org/r-doc/stats/predict.lm'>predict.lm</a></code>
- function, which is currently not supported in R.</p>
-
- </div>
-
- <div class="References">
- <h2>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,
- Chapter 13.7.8</p>
-
- <p>J. Inczedy, T. Lengyel, and A.M. Ure (2002) International Union of Pure and
- Applied Chemistry Compendium of Analytical Nomenclature: Definitive Rules.
- Web edition.</p>
-
- <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>
-
- </div>
-
- <h2 id="examples">Examples</h2>
- <pre class="examples"><div class='input'>data(din32645)
-m &lt;- lm(y ~ x, data = din32645)
-lod(m)
-</div>
-<div class='output'>$x
-[1] 0.08655484
-
-$y
- 1
-3317.154
-
-</div>
-<div class='input'>
-# The critical value (decision limit, German Nachweisgrenze) can be obtained
-# by using beta = 0.5:
-lod(m, alpha = 0.01, beta = 0.5)
-</div>
-<div class='output'>$x
-[1] 0.0698127
-
-$y
- 1
-3155.393
-
-</div></pre>
- </div>
- <div class="span4">
- <!-- <ul>
- <li>lod</li><li>lod.lm</li><li>lod.rlm</li><li>lod.default</li>
- </ul>
- <ul>
- <li>manip</li>
- </ul> -->
-
- <h2>See also</h2>
-
- Examples for <code><a href='din32645.html'>din32645</a></code>
-
-
- </div>
-</div>
-
- <footer>
- <p class="pull-right"><a href="#">Back to top</a></p>
-<p>Built by <a href="https://github.com/hadley/staticdocs">staticdocs</a>. Styled with <a href="http://twitter.github.com/bootstrap">bootstrap</a>.</p>
- </footer>
- </div>
- </body>
-</html> \ No newline at end of file

Contact - Imprint