fp: The folded power transformation

In Compositional: Compositional Data Analysis

The folded power transformation

Description

The folded power transformation.

Usage

fp(x, lambda)

Arguments

x	A matrix with the compositional data. Zero values are allowed.
lambda	The value of the power transformation, it has to be between -1 and 1. If zero values are present it has to be greater than 0. If \lambda=0 the additive log-ratio transformation (alr) is applied. If zero values are present \lambda must be strictly positive.

Details

The folded power transformation is applied to the compositional data.

Value

A matrix with the transformed data.

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris [e-mail].

References

Atkinson, A. C. (1985). Plots, transformations and regression; an introduction to graphical methods of diagnostic regression analysis Oxford University Press.

See Also

alr, bc, green, alfa

Examples

library(MASS)
x <- as.matrix(fgl[, 2:9])
x <- x / rowSums(x)
y1 <- fp(x, 0.2)
y2 <- fp(x, 0)
rbind( colMeans(y1), colMeans(y2) )
rowSums(y1)
rowSums(y2)

Compositional documentation built on Oct. 9, 2024, 5:10 p.m.