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Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
Michael Friendly and John Fox
GPL (>= 2)
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.
Package Version Released
candisc 0.6-5 2 years 49 weeks ago
candisc 0.6-3 3 years 10 weeks ago
candisc 0.6-2 3 years 14 weeks ago
candisc 0.6-1 3 years 16 weeks ago
candisc 0.6-0 3 years 17 weeks ago
candisc 0.5-9
candisc 0.5-21 4 years 24 weeks ago
candisc 0.5-19 5 years 35 weeks ago
candisc 0.5-18 5 years 43 weeks ago
candisc 0.5-16 6 years 27 weeks ago
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