can_lm function

Transform a Multivariate Linear model mlm to a Canonical Representation

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.

can_lm(mod, term, ...)

Arguments

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

Returns

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

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)

See Also

candisc, cancor

Author(s)

Michael Friendly