| 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, ...)
summary.default (object, ..., digits = max(3, getOption("digits") -3))
summary.data.frame(object, maxsum = 7, ...)
summary.factor (object, maxsum = 100, ...)
summary.matrix (object, ...)
Arguments
object |
an object for which a summary is desired. |
maxsum |
integer, indicating how many levels should be shown for
|
... |
additional arguments affecting the summary produced. |
Details
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.
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.
See Also
anova,summary.glm,summary.lm.
Examples
options(digits=5)
data(attenu)
summary(attenu) #-> summary.data.frame(..)
summary(attenu $ station, maxsum = 20) #-> summary.factor(..)