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| diff --git a/inst/web/lod.html b/inst/web/lod.html new file mode 100644 index 0000000..e679821 --- /dev/null +++ b/inst/web/lod.html @@ -0,0 +1,198 @@ +<!DOCTYPE html> +<html lang="en"> +  <head> +    <meta charset="utf-8"> +<title>lod. chemCal 0.1-35.900</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 0.1-35.900</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 = 0.05, beta = 0.05, method = "default", tol = "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 “default” 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 “din” method uses the prediction interval at +    x = 0 as an approximation. +  </dd> +      <dt>tol</dt> +      <dd> +    When the “default” 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 <- 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>. 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