aggregate
using the
formula.mean(x, ...)
## S3 method for class 'formula':
mean(x, data, na.rm=TRUE, ...)
## S3 method for class 'default':
mean(x, na.rm=TRUE, ...)median(x, ...)
## S3 method for class 'formula':
median(x, data, na.rm=TRUE, ...)
## S3 method for class 'default':
median(x, na.rm=TRUE, ...)
sd(x, ...)
## S3 method for class 'formula':
sd(x, data, na.rm=TRUE, ...)
## S3 method for class 'default':
sd(x, na.rm=TRUE, ...)
var(x, ...)
## S3 method for class 'formula':
var(x, data, na.rm=TRUE, ...)
## S3 method for class 'default':
var(x, na.rm=TRUE, ...)
prop(x,...)
## S3 method for class 'logical':
prop(x, level=TRUE, na.rm=TRUE, ...)
## S3 method for class 'factor':
prop(x, level=levels(x)[1], na.rm=TRUE, ...)
## S3 method for class 'formula':
prop(x, data, na.rm=TRUE, ...)
## S3 method for class 'default':
prop(x, na.rm=TRUE, ...)
count(x,...)
## S3 method for class 'logical':
count(x, level=TRUE, na.rm=TRUE, ...)
## S3 method for class 'factor':
count(x, level=levels(x)[1], na.rm=TRUE, ...)
## S3 method for class 'formula':
count(x, data, na.rm=TRUE, ...)
## S3 method for class 'default':
count(x, na.rm=TRUE, ...)
na.rm
is reversed from the functions in stats
.link{aggregate}