R: Column and row wise coefficients of variation

Column and row wise coefficients of variation {Rfast} | R Documentation

## Column and row wise coefficients of variation

### Description

Column and row wise coefficients of variation.

### Usage

    colcvs(x, ln = FALSE, unbiased = FALSE)
    rowcvs(x, ln = FALSE, unbiased = FALSE)

### Arguments

`x` | A numerical matrix with the data.
`ln` | If you have log-normally distributed data (or assume you do), then set this to TRUE.
`unbiased` | A boolean variable indicating whether the unbiased for shpould be returned. This is applicable in case of small samples.

### Details

The colum-wise coefficients of variation are calculated.

### Value

A vector with the coefficient of variation for each column or row.

### Author(s)

Michail Tsagris

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

### See Also

`colsums, colVars`

### Examples

    m <- rnorm(100, 10)
    x <- matrix(rnorm(100 * 100, m, 1), ncol = 100)
    a1 <- colcvs(x)
    a2 <- colcvs(x[1:25, ], unbiased = TRUE)
    a3 <- colcvs( exp(x), ln = TRUE)
    x <- NULL

[Package Rfast version 2.0.4 Index]