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Edit File: getCovariate.corStruct.html
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Extract corStruct Object Covariate</title> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <link rel="stylesheet" type="text/css" href="R.css" /> </head><body> <table width="100%" summary="page for getCovariate.corStruct {nlme}"><tr><td>getCovariate.corStruct {nlme}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Extract corStruct Object Covariate</h2> <h3>Description</h3> <p>This method function extracts the covariate(s) associated with <code>object</code>. </p> <h3>Usage</h3> <pre> ## S3 method for class 'corStruct' getCovariate(object, form, data) </pre> <h3>Arguments</h3> <table summary="R argblock"> <tr valign="top"><td><code>object</code></td> <td> <p>an object inheriting from class <code>corStruct</code> representing a correlation structure.</p> </td></tr> <tr valign="top"><td><code>form</code></td> <td> <p>this argument is included to make the method function compatible with the generic. It will be assigned the value of <code>formula(object)</code> and should not be modified.</p> </td></tr> <tr valign="top"><td><code>data</code></td> <td> <p>an optional data frame in which to evaluate the variables defined in <code>form</code>, in case <code>object</code> is not initialized and the covariate needs to be evaluated.</p> </td></tr> </table> <h3>Value</h3> <p>when the correlation structure does not include a grouping factor, the returned value will be a vector or a matrix with the covariate(s) associated with <code>object</code>. If a grouping factor is present, the returned value will be a list of vectors or matrices with the covariate(s) corresponding to each grouping level. </p> <h3>Author(s)</h3> <p>José Pinheiro and Douglas Bates <a href="mailto:bates@stat.wisc.edu">bates@stat.wisc.edu</a></p> <h3>References</h3> <p>Pinheiro, J.C., and Bates, D.M. (2000) "Mixed-Effects Models in S and S-PLUS", Springer. </p> <h3>See Also</h3> <p><code><a href="getCovariate.html">getCovariate</a></code></p> <h3>Examples</h3> <pre> cs1 <- corAR1(form = ~ 1 | Subject) getCovariate(cs1, data = Orthodont) </pre> <hr /><div style="text-align: center;">[Package <em>nlme</em> version 3.1-139 <a href="00Index.html">Index</a>]</div> </body></html>