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Z-Score Standard Normalization

Source: R/z_norm.R
z_norm.Rd

Standardizes numeric features to have mean = 0 and standard deviation = 1. For a matrix or data frame each (numeric) column is standardized on its own. A constant column (or a lone observation) has no spread to divide by and comes back as 0, with NAs kept as NA. With na.rm = FALSE, a column containing an NA has no defined mean and comes back all NA.

Usage

z_norm(x, na.rm = TRUE)

Arguments

x

A numeric vector, matrix, or data frame.

na.rm

Logical; whether to ignore NA values (default TRUE).

Value

Z-score standardized numeric object.

Examples

z_norm(c(10, 20, 30, 40, 50))
#> [1] -1.2649111 -0.6324555  0.0000000  0.6324555  1.2649111