wrMisc: standardW – R documentation

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standardW

Standardize (scale) data

Description

This functions work similar to scale, however, it evaluates the entire input and not column-wise (and independeltly as scale does). With Standarizing we speak of transforming the data to end up with mean=O and sd=1. Furthermore, in case of 3-dim arrays, this function returns also an object with the same dimensions as the input.

Usage

standardW(mat, byColumn = FALSE, na.rm = TRUE)

Arguments

`mat`	(matrix, data.frame or array) data that need to get standardized.
`byColumn`	(logical) if `TRUE` the function will be run independently over all columns such as as `apply(mat,2,standardW)`
`na.rm`	(logical) if `NA`s in the data don't get ignored via this argument, the output will be all `NA`

Value

vector of rescaled data (in dimensions as input)

Examples

dat <- matrix(2*round(runif(100),2), ncol=4)
mean(dat); sd(dat)

dat2 <- standardW(dat)
apply(dat2, 2, sd)
summary(dat2)

dat3 <- standardW(dat, byColumn=TRUE)
apply(dat2, 2, sd)
summary(dat2)
mean(dat2); sd(dat2)

wrMisc

Analyze Experimental High-Throughput (Omics) Data

v1.5.4

GPL-3

Authors

Wolfgang Raffelsberger [aut, cre]

Initial release