summary is a generic function used to produce result summaries
of the results of various model fitting functions. The function
invokes particular methods which depend on the
class of the first argument.
summary(object, ...)
"summary"(object, ..., digits = max(3, getOption("digits")-3))
"summary"(object, maxsum = 7, digits = max(3, getOption("digits")-3), ...)
"summary"(object, maxsum = 100, ...)
"summary"(object, ...)factors.summary depends on the
class of its argument. See the documentation of the particular
methods for details of what is produced by that method.The default method returns an object of class
c("summaryDefault", "table") which has a specialized
print method. The factor method returns an
integer vector.The matrix and data frame methods return a matrix of class
"table", obtained by applying summary to each
column and collating the results.
factors, the frequency of the first maxsum - 1
most frequent levels is shown, and the less frequent levels are
summarized in "(Others)" (resulting in at most maxsum
frequencies). The functions summary.lm and summary.glm are examples
of particular methods which summarize the results produced by
lm and glm.
anova,
summary.glm,
summary.lm.
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))
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