colVars: Column variances and standard deviations for matrices.

In resample: Resampling Functions

Column variances and standard deviations for matrices.

Description

Quick and dirty function for column variances and standard deviations.

Usage

colVars(x, na.rm = FALSE)
colStdevs(x, ...)

Arguments

x	data frame, matrix, or vector. These versions do not support higher-dimensional arrays.
na.rm	logical. Should missing values (including NaN) be omitted from the calculations?
...	other arguments passed to colVars.

Value

A numeric or complex array of suitable size, or a vector if the result is one-dimensional. The dimnames (or names for a vector result) are taken from the original array.

Note

There are better versions of these functions in the aggregate package
https://www.timhesterberg.net/r-packages.

Author(s)

Tim Hesterberg [e-mail],
https://www.timhesterberg.net/bootstrap-and-resampling

See Also

colSums, var, sd.

Examples

x <- matrix(rnorm(12), 4)
colVars(x)
colStdevs(x)

resample documentation built on June 13, 2022, 5:08 p.m.