mosaic (version 0.1-43)

aggregating: Aggregating summary statistics

Description

These drop-in replacements and new summary statistics functions are formula-aware and allow the use of simple names within data frames. When given formulas, they call aggregate using the formula.

Usage

mean(x, ..., na.rm=TRUE)
## S3 method for class 'default':
mean(x, ..., na.rm=TRUE)
## S3 method for class 'formula':
mean(x, data, ...,  na.rm=TRUE)
## S3 method for class 'factor':
mean(x,  ..., na.rm=TRUE)
median(x, ..., na.rm=TRUE)
## S3 method for class 'default':
median(x, ..., na.rm=TRUE)
## S3 method for class 'formula':
median(x, data, ...,  na.rm=TRUE)
## S3 method for class 'factor':
median(x, ..., na.rm=TRUE)
sd(x, data=NULL, ...)
## S3 method for class 'formula':
sd(x, data, na.rm=TRUE, ...)
## S3 method for class 'default':
sd(x, na.rm=TRUE, ...)
## S3 method for class 'factor':
sd(x, na.rm=TRUE, ...)
var(x, data=NULL, ...)
## S3 method for class 'formula':
var(x, data, na.rm=TRUE, ...)
## S3 method for class 'default':
var(x, na.rm=TRUE, ...)
## S3 method for class 'factor':
var(x, na.rm=TRUE, ...)
IQR(x, data=NULL, ...)
## S3 method for class 'formula':
IQR(x, data, na.rm=TRUE, ...)
## S3 method for class 'default':
IQR(x, na.rm=TRUE, ...)
## S3 method for class 'factor':
IQR(x, na.rm=TRUE, ...)
prop(x, data=NULL, ...)
## 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, data=NULL, ...)
## 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, ...)

Arguments

x

an R object, possibly a formula

data

a data frame for the formula methods

na.rm

a logical indicating whether missing data should be removed before calculation.

level

a level of a factor

...

additional arguments

Details

The default value for na.rm is reversed from the functions in stats.

See Also

link{aggregate}

Examples

sd(age, data=HELP)
sd(~age, data=HELP)
sd(age ~ ., data=HELP)
sd(age ~ 1, data=HELP)
sd(age ~ NULL, data=HELP)
sd(HELP$age)
sd(age ~ sex, data=HELP)
sd( age ~ sex + treat, data=HELP)
sd(age ~ sex, data=HELP, overall=TRUE )
mosaic.par.set(aggregate.overall=TRUE)
sd(age ~ sex, data=HELP)