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+<link rel="stylesheet" type="text/css" href="Rchm.css">
+</head>
+<body>
+
+<table width="100%"><tr><td>calpredict(chemCal)</td><td align="right">R Documentation</td></tr></table><object type="application/x-oleobject" classid="clsid:1e2a7bd0-dab9-11d0-b93a-00c04fc99f9e">
+<param name="keyword" value="R: calpredict">
+<param name="keyword" value=" Estimate measurement results including confidence intervals">
+</object>
+
+
+<h2>Estimate measurement results including confidence intervals</h2>
+
+
+<h3>Description</h3>
+
+<p>
+This function generates estimates for x values from y values, including
+a confidence interval for the x values. The formulas in this function used
+for prediction of concentrations from (replicate) measurements are taken from
+the "Handbook of Chemometrics and Qualimetrics Part A" by D. L. Massart,
+Vandeginste, B. G. M., Buydens, L. M. C., De Jong, S., Lewi, P. J. and
+Smeyers-Verbeke, J, Elsevier, Amsterdam, 1997 and from the EURACHEM/CITAC
+report on "Quantifying uncertainty in analytical measurement", 2000,
+pp. 111f.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+ calpredict(yobs,xi,yi,xunit="",level=0.95,intercept=FALSE,syobs=FALSE)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>yobs</code></td>
+<td>
+A numeric vector containing the observed data.
+</td></tr>
+<tr valign="top"><td><code>xi</code></td>
+<td>
+A vector of x values of the calibration.
+</td></tr>
+<tr valign="top"><td><code>yi</code></td>
+<td>
+A vector of y values of the calibration.
+</td></tr>
+<tr valign="top"><td><code>xunit</code></td>
+<td>
+The unit of the given values on the x axis as a character string.
+</td></tr>
+<tr valign="top"><td><code>level</code></td>
+<td>
+The desired confidence level for the confidence interval of the
+estimates. Defaults to 0.95.
+</td></tr>
+<tr valign="top"><td><code>intercept</code></td>
+<td>
+Logical value determining if an intercept is to be fitted or not.
+Default is FALSE.
+</td></tr>
+<tr valign="top"><td><code>syobs</code></td>
+<td>
+If TRUE, a standard deviation for the given y values is
+calculated, and the resulting confidence interval will
+include this variability (not validated yet). If FALSE (default), this
+standard deviation is not included in the
+confidence interval. If a numeric value is given,
+it is used for the standard deviation of "real samples",
+in addition to the standard deviation of the y values
+in the calibration (also not validated yet).
+</td></tr>
+</table>
+
+<h3>Value</h3>
+
+<p>
+A list containing the estimate, its standard deviation and its
+confidence interval.</p>
+
+<h3>Author(s)</h3>
+
+<p>
+Johannes Ranke
+<a href="mailto:jranke@uni-bremen.de">jranke@uni-bremen.de</a>
+<a href="http://www.uft.uni-bremen.de/chemie/ranke">http://www.uft.uni-bremen.de/chemie/ranke</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre>
+data(pahCalibration)
+attach(pahCalibration)
+y <- c(51.2,51.4,51.1,51.8)
+estimate <- calpredict(y,conc,acenaphthene,xunit="mg/L")
+</pre>
+
+
+
+<hr><div align="center"><a href="00Index.html">[Package Contents]</a></div>
+
+</body></html>
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