Row-wise scaling (mean 0, sd 1)

Source: R/utils.R

Standardizes each row of a numeric matrix to have mean 0 and standard deviation 1. Missing values are ignored in the computation of the mean and standard deviation.

tscale(x)

Arguments

x

A numeric matrix. Each row will be scaled independently.

Value

A numeric matrix of the same dimensions as x, where each row has mean 0 and standard deviation 1 (ignoring NAs). If a row has zero variance, it is returned unchanged.

See also

base::scale()

Examples

mat <- matrix(seq_len(9), nrow = 3)
tscale(mat)
#>           [,1] [,2]     [,3]
#> [1,] -1.224745    0 1.224745
#> [2,] -1.224745    0 1.224745
#> [3,] -1.224745    0 1.224745