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Compositional (version 5.5)

Greenacre's power transformation: Greenacre's power transformation

Description

Greenacre's power transformation.

Usage

green(x, theta)

Arguments

x

A matrix with the compositional data.

theta

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 \(\theta=0\) the log transformation is applied.

Value

A matrix with the power transformed data.

Details

Greenacre's transformation is applied to the compositional data.

References

Greenacre, M. (2009). Power transformations in correspondence analysis. Computational Statistics & Data Analysis, 53(8): 3107-3116. http://www.econ.upf.edu/~michael/work/PowerCA.pdf

See Also

alfa

Examples

Run this code
# NOT RUN {
library(MASS)
x <- as.matrix(fgl[, 2:9])
x <- x / rowSums(x)
y1 <- green(x, 0.1)
y2 <- green(x, 0.2)
rbind( colMeans(y1), colMeans(y2) )
# }

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