colVars: Column and row-wise variances and standard deviations of a...

Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/colVars.R

Description

Column and row-wise variances and standard deviations of a matrix

Usage

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colVars(x, suma = NULL, std = FALSE)
rowVars(x, suma = NULL, std = FALSE)
groupcolVars(x, ina, std = FALSE)

Arguments

x

A matrix with the data.

suma

If you already have the column sums vector supply it, otherwise leave it NULL.

std

A boolean variable specyfying whether you want the variances (FALSE) or the standard deviations (TRUE) of each column.

ina

A numerical vector specifying the groups. If you have numerical values, do not put zeros, but 1, 2, 3 and so on.

Details

We found this in stackoverflow and was created by David Arenburg. We then modified the function to match the sums type formula of the variance, which is faster.

Value

A vector with the colum variances or standard deviations.

Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@yahoo.gr> and Manos Papadakis <papadakm95@gmail.com>.

See Also

colmeans, colMedians, colrange

Examples

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x <- matrix( rnorm(100 * 100), ncol = 100 )
a2 <- colVars(x)
groupcolVars( as.matrix(iris[, 1:4]), as.numeric(iris[, 5]) )

Rfast documentation built on May 19, 2017, 2:16 p.m.

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