R: Column and row-wise mean absolute deviations

Column and rows-wise mean absolute deviations {Rfast} | R Documentation

## Column and row-wise mean absolute deviations

### Description

Column and row-wise mean absolute deviations.

### Usage

    colMads(x,method = "median",na.rm=FALSE,parallel = FALSE)
    rowMads(x,method = "median",na.rm=FALSE,parallel = FALSE)

### Arguments

`x` | A matrix with the data.
`method` | A character vector with values "median", for median absolute deviation or "mean", for mean absolute deviation.
`na.rm` | A logical value TRUE/FALSE to remove NAs.
`parallel` | A boolean value for parallel version.

### Details

The functions is written in C++ in order to be as fast as possible.

### Value

A vector with the column-wise mean absolute deviations.

### Author(s)

Michail Tsagris

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

### See Also

`colMedians, rowMedians, colVars, colmeans, colMeans (buit-in R function)`

### Examples

    x <- matrix( rnorm(100 * 100), ncol = 100 )
    system.time( a <- colMads(x) )

    x<-NULL

[Package Rfast version 2.0.4 Index]