cbalance_approx

Balance generated from the first canonical correlation component

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

cbalance_approx function

<dl><dt>Y</dt>
<dd>compositional dataset</dd>
<dt>X</dt>
<dd>explanatory dataset</dd></dl>

Arguments

Balance generated from the first canonical correlation component — cbalance_approx

<dl>

<dt>Y</dt>
<dd>compositional dataset</dd>


<dt>X</dt>
<dd>explanatory dataset</dd>

</dl>

cbalance_approx: Balance generated from the first canonical correlation component

Description

Usage

Value

Arguments