Wilks Lambda Tests for Canonical Correlations
Tests the sequential hypotheses that the ith canonical correlation and all that follow it are zero,
ρ_i = ρ_{i+1} = \cdots = 0
Wilks(object, ...) ## S3 method for class 'cancor' Wilks(object, ...) ## S3 method for class 'candisc' Wilks(object, ...)
object |
An object of class |
... |
Other arguments passed to methods (not used) |
Wilks' Lambda values are calculated from the eigenvalues and converted to F statistics using Rao's approximation.
A data.frame (of class "anova") containing the test statistics
Michael Friendly
Mardia, K. V., Kent, J. T. and Bibby, J. M. (1979). Multivariate Analysis. London: Academic Press.
cancor, ~~~
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.