% File src/library/base/man/summary.Rd % Part of the R package, http://www.R-project.org % Copyright 1995-2007 R Core Development Team % Distributed under GPL 2 or later \name{summary} \alias{summary} \alias{summary.default} \alias{summary.data.frame} \alias{summary.factor} \alias{summary.matrix} \title{Object Summaries} \description{ \code{summary} is a generic function used to produce result summaries of the results of various model fitting functions. The function invokes particular \code{\link{methods}} which depend on the \code{\link[base]{class}} of the first argument. } \usage{ summary(object, \dots) \method{summary}{default}(object, \dots, digits = max(3, getOption("digits")-3)) \method{summary}{data.frame}(object, maxsum = 7, digits = max(3, getOption("digits")-3), \dots) \method{summary}{factor}(object, maxsum = 100, \dots) \method{summary}{matrix}(object, \dots) } \arguments{ \item{object}{an object for which a summary is desired.} \item{maxsum}{integer, indicating how many levels should be shown for \code{\link{factor}}s.} \item{digits}{integer, used for number formatting with \code{\link{signif}()} (for \code{summary.default}) or \code{\link{format}()} (for \code{summary.data.frame}).} \item{\dots}{additional arguments affecting the summary produced.} } \details{ For \code{\link{factor}}s, the frequency of the first \code{maxsum - 1} most frequent levels is shown, where the less frequent levels are summarized in \code{"(Others)"} (resulting in \code{maxsum} frequencies). The functions \code{summary.lm} and \code{summary.glm} are examples of particular methods which summarize the results produced by \code{\link{lm}} and \code{\link{glm}}. } \value{ The form of the value returned by \code{summary} depends on the class of its argument. See the documentation of the particular methods for details of what is produced by that method. } \seealso{ \code{\link{anova}}, \code{\link{summary.glm}}, \code{\link{summary.lm}}. } \references{ Chambers, J. M. and Hastie, T. J. (1992) \emph{Statistical Models in S}. Wadsworth \& Brooks/Cole. } \examples{ summary(attenu, digits = 4) #-> summary.data.frame(...), default precision summary(attenu $ station, maxsum = 20) #-> summary.factor(...) lst <- unclass(attenu$station) > 20 # logical with NAs ## summary.default() for logicals -- different from *.factor: summary(lst) summary(as.factor(lst)) } \keyword{methods}