# candisc v0.8-3

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## Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis

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.

## Functions in candisc

 Name Description candisc-package Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis can_lm Transform a Multivariate Linear model mlm to a Canonical Representation Grass Yields from Nitrogen nutrition of grass species Wolves Wolf skulls cancor Canonical Correlation Analysis candisc Canonical discriminant analysis Wine Chemical composition of three cultivars of wine candiscList Canonical discriminant analyses HSB High School and Beyond Data dataIndex Indices of observations in a model data frame Wilks Wilks Lambda Tests for Canonical Correlations vecscale Scale vectors to fill the current plot plot.cancor Canonical Correlation Plots heplot.candisc Canonical Discriminant HE plots vectors Draw Labeled Vectors in 2D or 3D redundancy Canonical Redundancy Analysis heplot.candiscList Canonical Discriminant HE plots heplot.cancor Canonical Correlation HE plots varOrder Order variables according to canonical structure or other criteria No Results!