alr_basis

Compute the transformation matrix to express a composition using the oblique additive log-ratio
coordinates.

A minimum set of functions to perform compositional data analysis
using the log-ratio approach introduced by John Aitchison (1982). Main functions
have been implemented in c++ for better performance.

Marc ComasCuf

coda.base

A Basic Set of Functions for Compositional Data Analysis

Marc Comas-Cufí

alr_basis function

<dl><dt>dim</dt>
<dd>An integer indicating the number of components.
If a dataframe or matrix is provided, the number of components is inferred from the number of columns. If a character vector specifying the names of the parts is provided the number of component is its length.</dd>
<dt>denominator</dt>
<dd>part used as denominator (default behaviour is to use last part)</dd>
<dt>numerator</dt>
<dd>parts to be used as numerator. By default all except the denominator parts are chosen following original order.</dd></dl>

Arguments

Additive log-ratio basis — alr_basis

<dl>

<dt>dim</dt>
<dd>An integer indicating the number of components.
If a dataframe or matrix is provided, the number of components is inferred from the number of columns. If a character vector specifying the names of the parts is provided the number of component is its length.</dd>


<dt>denominator</dt>
<dd>part used as denominator (default behaviour is to use last part)</dd>


<dt>numerator</dt>
<dd>parts to be used as numerator. By default all except the denominator parts are chosen following original order.</dd>

</dl>

alr_basis: Additive log-ratio basis

Description

Usage

Value

Arguments

References

Examples