candisc: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
Version 0.8-0

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 higher-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.

Package details

AuthorMichael Friendly [aut, cre], John Fox [aut]
Date of publication2017-09-19 17:18:42 UTC
MaintainerMichael Friendly <[email protected]>
LicenseGPL (>= 2)
Version0.8-0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("candisc")

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candisc documentation built on Sept. 20, 2017, 1:04 a.m.