Contingency Table For Categorical Data
Example Data  244  238 
Description
summary
is a generic function used to produce result summaries
of the results of various model fitting functions.
Usage
summary(object, ...) ## Default S3 method: summary(object, ..., digits) ## 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

... 
additional arguments affecting the summary produced. 
Details
For factor
s, 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.
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))