[R] Classification from candisc
andrewdigby at mac.com
Fri Sep 9 02:39:00 CEST 2011
This is a probably a daft question, but I would appreciate some help.
I want to attempt to separate groups in a dataset using discriminant
function analysis, and have been using linear discriminant analysis
(lda(klaR)) and canonical discriminant analysis (candisc(candisc)).
iris.mod <- lm(cbind(Petal.Length, Sepal.Length, Petal.Width, Sepal.Width) ~
iris.can <- candisc(iris.mod, data=iris)
However, I now want to make classifications based on these discriminant
functions. With LDA, this is easy:
but I can't find a straightforward way of classifying from the CDA results,
since predict() doesn't have a method for the candisc class.
So how can I classify/predict from a candisc object? I think I may be
misunderstanding something fairly fundamental about LDA vs CDA, but any
suggestions would be gratefully received!
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