| summary {base} | R Documentation |
Object Summaries
Description
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.
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
object |
an object for which a summary is desired. |
x |
a result of the default method of |
maxsum |
integer, indicating how many levels should be shown for
|
digits |
integer, used for number formatting with
|
quantile.type |
integer code used in |
... |
additional arguments affecting the summary produced. |
Details
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.
Value
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.
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 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))