stdize {ffmanova} | R Documentation |
Function to center and/or scale the coloumns of a matrix in various ways. The coloumns can be centered with their means or with supplied values, and they can be scaled with their standard deviations or with supplied values.
stdize(x, center = TRUE, scale = TRUE, avoid.zero.divisor = FALSE)
x |
A matrix. |
center |
A logical, or a numeric vector. The values to subtract from each column. If center is TRUE , the mean values are used. |
scale |
A lgical, or a numeric vector. The values to divide each column with. If scale is TRUE , the standard deviations are used. |
avoid.zero.divisor |
A logical. If TRUE , each occurence of 0 in scale is replaced with a 1. |
stdize
standardizes the coloumns of a matrix by subtracting their means (or the supplied values) and dividing by their standard deviations (or the supplied values).
If avoid.zero.divisor
is TRUE
, division-by-zero is guarded against by substituting any 0 in center
(either calculated or supplied) with 1 prior to division.
The main difference between stdize
and scale
is that stdize
divides by the standard deviations even when center
is not TRUE
.
A matrix.
Bjørn-Helge Mevik and Øyvind Langsrud
A <- matrix(rnorm(15, mean = 1), ncol = 3) stopifnot(all.equal(stdize(A), scale(A), check.attributes = FALSE)) ## These are different: stdize(A, center = FALSE) scale(A, center = FALSE)