The alpha-IT transformation: The \(\alpha\)-IT transformation
Description
The \(\alpha\)-IT transformation.
Usage
ait(x, a, h = TRUE)
Arguments
x
A matrix with the compositional data.
a
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 \(\alpha=0\) the
isometric log-ratio transformation is applied.
h
A boolean variable. If is TRUE (default value) the multiplication with the
Helmert sub-matrix will take place. When \(\alpha=0\) and h = FALSE,
the result is the centred log-ratio transformation (Aitchison, 1986).
In general, when h = FALSE the resulting transformation maps the data onto
a singualr space. The sum of the vectors is equal to 0. Hence, from the simplex
constraint the data go to another constraint.
Value
A matrix with the \(\alpha\)-IT transformed data.
Details
The \(\alpha\)-IT transformation is applied to the compositional data.
References
Clarotto L., Allard D. and Menafoglio A. (2022). A new class of
\(\alpha\)-transformations for
the spatial analysis of Compositional Data. Spatial Statistics, 47.