Canonical discriminant analyses
candiscList performs a generalized canonical discriminant analysis for
all terms in a multivariate linear model (i.e., an mlm object),
computing canonical scores and vectors.
candiscList(mod, ...) ## S3 method for class 'mlm' candiscList(mod, type = "2", manova, ndim, ...) ## S3 method for class 'candiscList' plot(x, term, ask = interactive(), graphics = TRUE, ...) ## S3 method for class 'candiscList' print(x, ...) ## S3 method for class 'candiscList' summary(object, ...)
mod |
An mlm object, such as computed by lm() with a multivariate response |
type |
type of test for the model |
manova |
the |
ndim |
Number of dimensions to store in the |
object, x |
A candiscList object |
term |
The name of one term to be plotted for the |
ask |
If |
graphics |
if |
... |
arguments to be passed down. |
An object of class candiscList which is a list of candisc objects
for the terms in the mlm.
Michael Friendly and John Fox
grass.mod <- lm(cbind(N1,N9,N27,N81,N243) ~ Block + Species, data=Grass) grass.canL <-candiscList(grass.mod) names(grass.canL) names(grass.canL$Species) ## Not run: print(grass.canL) ## End(Not run) plot(grass.canL, type="n", ask=FALSE) heplot(grass.canL$Species, scale=6) heplot(grass.canL$Block, scale=2)
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