Wilks {candisc} | R Documentation |
Wilks Lambda Tests for Canonical Correlations
Description
Tests the sequential hypotheses that the i
th canonical correlation and
all that follow it are zero,
\rho_i = \rho_{i+1} = \cdots = 0
Usage
Wilks(object, ...)
## S3 method for class 'cancor'
Wilks(object, ...)
## S3 method for class 'candisc'
Wilks(object, ...)
Arguments
object |
An object of class |
... |
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
Methods (by class)
-
Wilks(cancor)
:"cancor"
method. -
Wilks(candisc)
:print()
method for"candisc"
objects.
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
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)
[Package candisc version 0.9.0 Index]