robustscale: robust scaling uses median an mad instead of mean and row...

In quantable: Streamline Descriptive Analysis of Quantitative Data Matrices

Description

robust scaling uses median an mad instead of mean and row applies the scaling to the columns (samples) by default

Usage

robustscale(data, dim = 2, center = TRUE, scale = TRUE,
  preserveScale = TRUE)

Arguments

data	matrix or data.frame
dim	should rows (1) or columns (2:default) be scaled
center	subract median (default:TRUE)
scale	scale by mad (default:FALSE)
preserveScale	default TRUE , equalize scales but do not change them

Examples

library(quantable)
tmp = matrix(rep((1:100),times = 4) + rnorm(100*4,0,3),ncol=4)
mean = c(20,30,10,40)
sd = c(4,3,4,5)
tmp = sweep(tmp,2,sd,"*")
tmp = sweep(tmp,2,mean,"+")
boxplot(tmp)
tmp = robustscale(tmp)
boxplot(tmp$data)

Example output

quantable documentation built on May 2, 2019, 4:05 p.m.