candisc: can_lm – R documentation

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can_lm

Transform a Multivariate Linear model mlm to a Canonical Representation

Description

This function uses candisc to transform the responses in a multivariate linear model to scores on canonical variables for a given term and then uses those scores as responses in a linear (lm) or multivariate linear model (mlm).

Usage

can_lm(mod, term, ...)

Arguments

`mod`	A `mlm` object
`term`	One term in that model
`...`	Arguments passed to `candisc`

Details

The function constructs a model formula of the form Can ~ terms where Can is the canonical score(s) and terms are the terms in the original mlm, then runs lm() with that formula.

Value

A lm object if term is a rank 1 hypothesis, otherwise a mlm object

Author(s)

Michael Friendly

Examples

iris.mod <- lm(cbind(Petal.Length, Sepal.Length, Petal.Width, Sepal.Width) ~ Species, data=iris)
iris.can <- can_lm(iris.mod, "Species")
iris.can
Anova(iris.mod)
Anova(iris.can)

candisc

Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis

v0.8-5

GPL (>= 2)

Authors

Michael Friendly [aut, cre], John Fox [aut]

Initial release

2021-01-21