Standardization to z-scores (mean = 0, standard deviation = 1).
normalize_zscore(x)Numeric vector of z-scores. Returns all zeros if standard deviation is zero.
Formula: $$Z = \frac{X - \mu}{\sigma}$$
normalize_zscore(c(10, 20, 30, 40, 50))
#> [1] -1.2649 -0.6325 0.0000 0.6325 1.2649