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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, …)# S3 method for default
summary(object, …, digits, quantile.type = 7)
# S3 method for data.frame
summary(object, maxsum = 7,
digits = max(3, getOption("digits")-3), …)
# S3 method for factor
summary(object, maxsum = 100, …)
# S3 method for matrix
summary(object, …)
# S3 method for summaryDefault
format(x, digits = max(3L, getOption("digits") - 3L), …)
# S3 method for summaryDefault
print(x, digits = max(3L, getOption("digits") - 3L), …)
an object for which a summary is desired.
a result of the default method of summary().
integer, indicating how many levels should be shown for
factors.
integer, used for number formatting with
signif() (for summary.default) or
format() (for summary.data.frame). In
summary.default, if not specified (i.e.,
missing(.)), signif() will not be called
anymore (since R >= 3.4.0, where the default has been changed to
only round in the print and format methods).
integer code used in quantile(*, type=quantile.type)
for the default method.
additional arguments affecting the summary produced.
The form of the value returned by 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 specialized
format and print methods. 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.
For 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.
Chambers, J. M. and Hastie, T. J. (1992) Statistical Models in S. Wadsworth & Brooks/Cole.
# NOT RUN {
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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