creatbin

Internal function for rdacca.hp() to create diagonal matrix

internal

This function conducts variation partitioning and hierarchical partitioning to calculate the unique, shared (referred as to "common") and individual contributions of each predictor (or matrix) towards explained variation (R-square and adjusted R-square) on canonical analysis (RDA,CCA and db-RDA), applying the algorithm of Lai J.,Zou Y., Zhang J.,Peres-Neto P.(2022) Generalizing hierarchical and variation partitioning in multiple regression and canonical analyses using the rdacca.hp R package.Methods in Ecology and Evolution,13: 782-788 <DOI:10.1111/2041-210X.13800>.

Jiangshan Lai

rdacca.hp

Hierarchical and Variation Partitioning for Canonical Analysis

Kim Nimon

Yao Liu

Pedro Peres-Neto

creatbin function

<dl><dt>col</dt>
<dd>Imput number.</dd>
<dt>binmatrix</dt>
<dd>Imput empty matrix.</dd></dl>

Arguments

Internal function for rdacca.hp() to create diagonal matrix — creatbin

<dl>

<dt>col</dt>
<dd>Imput number.</dd>


<dt>binmatrix</dt>
<dd>Imput empty matrix.</dd>

</dl>

creatbin: Internal function for rdacca.hp() to create diagonal matrix

Description

Usage

Arguments