Hierarchical and Variation Partitioning for Canonical Analysis

This function conducts variation partitioning and hierarchical partitioning to calculate the unique, shared (referred as to "common") and independent contributions of each predictor (or matrix) to explained variation (R-squared and adjusted R-squared) on canonical analysis (RDA,CCA and db-RDA), applying the hierarchy algorithm of Chevan, A. and Sutherland, M. 1991 Hierarchical Partitioning.The American Statistician, 90-96 .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.5-6 by Jiangshan Lai, 20 hours ago


Browse source code at https://github.com/cran/rdacca.hp

Authors: Jiangshan Lai , Pedro Peres-Neto

Documentation:   PDF Manual  

GPL license

Depends on vegan, ggplot2

See at CRAN