can_lm: Transform a Multivariate Linear model mlm to a Canonical...

In candisc: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis

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).

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.

Usage

can_lm(mod, term, ...)

Arguments

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

Value

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

Author(s)

Michael Friendly

See Also

candisc, cancor

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
car::Anova(iris.mod)
car::Anova(iris.can)

candisc documentation built on May 29, 2024, 6:26 a.m.