candisc: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis

This package includes functions for computing and visualizing generalized canonical discriminant analyses and canonical correlation analysis for a multivariate linear model. Traditional canonical discriminant analysis is restricted to a one-way MANOVA design and is equivalent to canonical correlation analysis between a set of quantitative response variables and a set of dummy variables coded from the factor variable. The candisc package generalizes this to multi-way MANOVA designs for all factors in a multivariate linear model, computing canonical scores and vectors for each term. The graphic functions provide low-rank (1D, 2D, 3D) visualizations of terms in an mlm via the plot.candisc and heplot.candisc methods. Related plots are now provided for canonical correlation analysis when all predictors are quantitative.

Version: 0.6-5
Depends: R (≥ 2.10), car, heplots (≥ 0.8.6), graphics, stats
Suggests: rgl, corrplot
Published: 2013-06-12
Author: Michael Friendly and John Fox
Maintainer: Michael Friendly <friendly at yorku.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: candisc results

Downloads:

Reference manual: candisc.pdf
Package source: candisc_0.6-5.tar.gz
Windows binaries: r-devel: candisc_0.6-5.zip, r-release: candisc_0.6-5.zip, r-oldrel: candisc_0.6-5.zip
OS X Snow Leopard binaries: r-release: candisc_0.6-5.tgz, r-oldrel: candisc_0.6-5.tgz
OS X Mavericks binaries: r-release: candisc_0.6-5.tgz
Old sources: candisc archive

Reverse dependencies:

Reverse suggests: heplots