candisc: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis

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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.

Author
Michael Friendly [aut, cre], John Fox [aut]
Date of publication
2016-11-11 00:07:23
Maintainer
Michael Friendly <friendly@yorku.ca>
License
GPL (>= 2)
Version
0.7-2

View on CRAN

Man pages

cancor
Canonical Correlation Analysis
candisc
Canonical discriminant analysis
candiscList
Canonical discriminant analyses
candisc-package
Visualizing Generalized Canonical Discriminant and Canonical...
can_lm
Transform a Multivariate Linear model mlm to a Canonical...
dataIndex
Indices of observations in a model data frame
Grass
Yields from Nitrogen nutrition of grass species
heplot.cancor
Canonical Correlation HE plots
heplot.candisc
Canonical Discriminant HE plots
heplot.candiscList
Canonical Discriminant HE plots
HSB
High School and Beyond Data
plot.cancor
Canonical Correlation Plots
redundancy
Canonical Redundancy Analysis
varOrder
Order variables according to canonical structure or other...
vecscale
Scale vectors to fill the current plot
vectors
Draw Labeled Vectors in 2D or 3D
Wilks
Wilks Lambda Tests for Canonical Correlations
Wine
Chemical composition of three cultivars of wine
Wolves
Wolf skulls

Files in this package

candisc
candisc/NAMESPACE
candisc/demo
candisc/demo/painters.R
candisc/demo/00Index
candisc/NEWS
candisc/data
candisc/data/Wolves.rda
candisc/data/Grass.rda
candisc/data/HSB.rda
candisc/data/Wine.RData
candisc/R
candisc/R/plot.candisc.R
candisc/R/plot.cancor.R
candisc/R/redundancy.R
candisc/R/can_lm.R
candisc/R/cancor.R
candisc/R/candisc.R
candisc/R/heplot.cancor.R
candisc/R/vectors.R
candisc/R/dataIndex.R
candisc/R/vectors3d.R
candisc/R/candiscList.R
candisc/R/Wilks.cancor.R
candisc/R/heplot.candisc.R
candisc/R/mlm2can.R
candisc/R/heplot3d.cancor.R
candisc/R/varOrder.R
candisc/R/vecscale.R
candisc/MD5
candisc/DESCRIPTION
candisc/man
candisc/man/Wolves.Rd
candisc/man/vectors.Rd
candisc/man/candisc.Rd
candisc/man/dataIndex.Rd
candisc/man/heplot.candisc.Rd
candisc/man/redundancy.Rd
candisc/man/candiscList.Rd
candisc/man/vecscale.Rd
candisc/man/varOrder.Rd
candisc/man/Wilks.Rd
candisc/man/Wine.Rd
candisc/man/can_lm.Rd
candisc/man/plot.cancor.Rd
candisc/man/candisc-package.Rd
candisc/man/Grass.Rd
candisc/man/HSB.Rd
candisc/man/heplot.cancor.Rd
candisc/man/cancor.Rd
candisc/man/heplot.candiscList.Rd