robust_zscore {cmapR}R Documentation

Compoute robust z-scores

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))


[Package cmapR version 1.2.1 Index]