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 |

**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

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
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