Wilks: Wilks Lambda Tests for Canonical Correlations

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

Tests the sequential hypotheses that the ith canonical correlation and all that follow it are zero,

ρ_i = ρ_{i+1} = \cdots = 0

Usage

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Wilks(object, ...)

## S3 method for class 'cancor'
Wilks(object, ...)
## S3 method for class 'candisc'
Wilks(object, ...)

Arguments

object

An object of class "cancor""} or \code{"candisc""

...

Other arguments passed to methods (not used)

Details

Wilks' Lambda values are calculated from the eigenvalues and converted to F statistics using Rao's approximation.

Value

A data.frame (of class "anova") containing the test statistics

Author(s)

Michael Friendly

References

Mardia, K. V., Kent, J. T. and Bibby, J. M. (1979). Multivariate Analysis. London: Academic Press.

See Also

cancor, ~~~

Examples

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data(Rohwer, package="heplots")
X <- as.matrix(Rohwer[,6:10])  # the PA tests
Y <- as.matrix(Rohwer[,3:5])   # the aptitude/ability variables

cc <- cancor(X, Y, set.names=c("PA", "Ability"))
Wilks(cc)

iris.mod <- lm(cbind(Petal.Length, Sepal.Length, Petal.Width, Sepal.Width) ~ Species, data=iris)
iris.can <- candisc(iris.mod, data=iris)
Wilks(iris.can)

candisc documentation built on May 2, 2019, 6:37 p.m.