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<!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: Summarize an lme Object</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 summary.lme {nlme}"><tr><td>summary.lme {nlme}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Summarize an lme Object</h2> <h3>Description</h3> <p>Additional information about the linear mixed-effects fit represented by <code>object</code> is extracted and included as components of <code>object</code>. The returned object has a <code><a href="../../base/html/print.html">print</a></code> and a <code><a href="../../stats/html/coef.html">coef</a></code> method, the latter returning the coefficient's <code>tTtable</code>. </p> <h3>Usage</h3> <pre> ## S3 method for class 'lme' summary(object, adjustSigma, verbose, ...) ## S3 method for class 'summary.lme' print(x, verbose = FALSE, ...) </pre> <h3>Arguments</h3> <table summary="R argblock"> <tr valign="top"><td><code>object</code></td> <td> <p>an object inheriting from class <code>"<a href="lme.html">lme</a>"</code>, representing a fitted linear mixed-effects model.</p> </td></tr> <tr valign="top"><td><code>adjustSigma</code></td> <td> <p>an optional logical value. If <code>TRUE</code> and the estimation method used to obtain <code>object</code> was maximum likelihood, the residual standard error is multiplied by <i>sqrt(nobs/(nobs - npar))</i>, converting it to a REML-like estimate. This argument is only used when a single fitted object is passed to the function. Default is <code>TRUE</code>.</p> </td></tr> <tr valign="top"><td><code>verbose</code></td> <td> <p>an optional logical value used to control the amount of output in the <code>print.summary.lme</code> method. Defaults to <code>FALSE</code>.</p> </td></tr> <tr valign="top"><td><code>...</code></td> <td> <p>additional optional arguments passed to methods, mainly for the <code><a href="../../base/html/print.html">print</a></code> method.</p> </td></tr> <tr valign="top"><td><code>x</code></td> <td> <p>a <code>"summary.lme"</code> object.</p> </td></tr> </table> <p>!</p> <h3>Value</h3> <p>an object inheriting from class <code>summary.lme</code> with all components included in <code>object</code> (see <code><a href="lmeObject.html">lmeObject</a></code> for a full description of the components) plus the following components: </p> <table summary="R valueblock"> <tr valign="top"><td><code>corFixed</code></td> <td> <p>approximate correlation matrix for the fixed effects estimates.</p> </td></tr> <tr valign="top"><td><code>tTable</code></td> <td> <p>a matrix with columns named <code>Value</code>, <code>Std. Error</code>, <code>DF</code>, <code>t-value</code>, and <code>p-value</code> representing respectively the fixed effects estimates, their approximate standard errors, the denominator degrees of freedom, the ratios between the estimates and their standard errors, and the associated p-value from a t distribution. Rows correspond to the different fixed effects.</p> </td></tr> <tr valign="top"><td><code>residuals</code></td> <td> <p>if more than five observations are used in the <code>lme</code> fit, a vector with the minimum, first quartile, median, third quartile, and maximum of the innermost grouping level residuals distribution; else the innermost grouping level residuals.</p> </td></tr> <tr valign="top"><td><code>AIC</code></td> <td> <p>the Akaike Information Criterion corresponding to <code>object</code>.</p> </td></tr> <tr valign="top"><td><code>BIC</code></td> <td> <p>the Bayesian Information Criterion corresponding to <code>object</code>.</p> </td></tr> </table> <h3>Author(s)</h3> <p>José Pinheiro and Douglas Bates <a href="mailto:bates@stat.wisc.edu">bates@stat.wisc.edu</a></p> <h3>See Also</h3> <p><code><a href="../../stats/html/AIC.html">AIC</a></code>, <code><a href="../../stats/html/AIC.html">BIC</a></code>, <code><a href="lme.html">lme</a></code>. </p> <h3>Examples</h3> <pre> fm1 <- lme(distance ~ age, Orthodont, random = ~ age | Subject) (s1 <- summary(fm1)) coef(s1) # the (coef | Std.E | t | P-v ) matrix </pre> <hr /><div style="text-align: center;">[Package <em>nlme</em> version 3.1-139 <a href="00Index.html">Index</a>]</div> </body></html>