Object Summaries

Description

summary is a generic function used to produce result summariesof the results of various model fitting functions. The functioninvokes particularmethods which depend on theclass of the first argument.

Usage

summary(object, ...)## Default S3 method:summary(object, ..., digits, quantile.type = 7)## S3 method for class 'data.frame'summary(object, maxsum = 7,       digits = max(3, getOption("digits")-3), ...)## S3 method for class 'factor'summary(object, maxsum = 100, ...)## S3 method for class 'matrix'summary(object, ...)## S3 method for class 'summaryDefault'format(x, digits = max(3L, getOption("digits") - 3L), ...) ## S3 method for class 'summaryDefault'print(x, digits = max(3L, getOption("digits") - 3L), ...)

Arguments

Details

Forfactors, the frequency of the firstmaxsum - 1most frequent levels is shown, and the less frequent levels aresummarized in"(Others)" (resulting in at mostmaxsumfrequencies).

The functionssummary.lm andsummary.glm are examplesof particular methods which summarize the results produced bylm andglm.

Value

The form of the value returned bysummary depends on theclass of its argument. See the documentation of the particularmethods for details of what is produced by that method.

The default method returns an object of classc("summaryDefault", "table") which has specializedformat andprint methods. Thefactor method returns an integer vector.

The matrix and data frame methods return a matrix of class"table", obtained by applyingsummary to eachcolumn and collating the results.

References

Chambers, J. M. and Hastie, T. J. (1992)Statistical Models in S.Wadsworth & Brooks/Cole.

See Also

anova,summary.glm,summary.lm.

Examples

summary(attenu, digits = 4) #-> summary.data.frame(...), default precisionsummary(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))