| summary {base} | R Documentation |
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, ...)
## Default S3 method:
summary(object, ..., digits = max(3, getOption("digits")-3))
## 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, ...)
object |
an object for which a summary is desired. |
maxsum |
integer, indicating how many levels should be shown for
factors. |
digits |
integer, used for number formatting with
signif() (for summary.default) or
format() (for summary.data.frame). |
... |
additional arguments affecting the summary produced. |
For factors, the frequency of the first maxsum - 1
most frequent levels is shown, where the less frequent levels are
summarized in "(Others)" (resulting in maxsum frequencies).
The functions summary.lm and summary.glm are examples
of particular methods which summarise the results produced by
lm and glm.
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.
Chambers, J. M. and Hastie, T. J. (1992) Statistical Models in S. Wadsworth & Brooks/Cole.
anova,
summary.glm,
summary.lm.
data(attenu) 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))