RobScale

0th

Percentile

Robust Scaling With Median and Mad

RobScale is a wrapper function for robust standardization, using median and mad instead of mean and sd.

Keywords
robust, univar
Usage
RobScale(x, center = TRUE, scale = TRUE)
Arguments
x
a numeric matrix(like object).

center
a logical value defining whether x should be centered by the median. Centering is done by subtracting the column medians (omitting NAs) of x from their corresponding columns. If center is FALSE, no centering is done.

scale
a logical value defining whether x should be scaled by the mad. Scaling is done by dividing the (centered) columns of x by their mad. If scale is FALSE, no scaling is done.

Value

the centered, scaled matrix. The numeric centering and scalings used (if any) are returned as attributes "scaled:center" and "scaled:scale"

See Also

scale, sweep

Aliases
  • RobScale
Examples
x <- d.pizza$temperature
plot(x=seq_along(x), y=RobScale(x), xlim=c(0,100))
points(x=seq_along(x), y=scale(x), col="red" )
Documentation reproduced from package DescTools, version 0.99.19, License: GPL (>= 2)

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