robust_zscore: Compoute robust z-scores

In cmap/cmapR: CMap Tools in R

Description

robust zscore implementation takes in a 1D vector, returns 1D vector after computing robust zscores rZ = (x-med(x))/mad(x)

Usage

robust_zscore(x, min_mad = 1e-06, ...)

Arguments

x	numeric vector to z-score
min_mad	the minimum allowed MAD, useful for avoiding division by very small numbers
...	further options to median, max functions

Value

transformed version of x

Examples

(x <- rnorm(25))
(robust_zscore(x))

# with min_mad
(robust_zscore(x, min_mad=1e-4))

cmap/cmapR documentation built on Oct. 14, 2021, 12:51 a.m.