cc_basis

Constructs an isometric log-ratio (ilr) basis for a compositional dataset,
optimized with respect to canonical correlations with an explanatory dataset.

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

cc_basis function

<dl><dt>Y</dt>
<dd>A compositional dataset (matrix or data frame).</dd>
<dt>X</dt>
<dd>An explanatory dataset (matrix or data frame).</dd></dl>

Arguments

Isometric Log-Ratio Basis Based on Canonical Correlations — cc_basis

<dl>

<dt>Y</dt>
<dd>A compositional dataset (matrix or data frame).</dd>


<dt>X</dt>
<dd>An explanatory dataset (matrix or data frame).</dd>

</dl>

cc_basis: Isometric Log-Ratio Basis Based on Canonical Correlations

Description

Usage

Value

Arguments