The PCA doesn't work with class variables so the error is normal. You
should try to work with a discriminant factorial analysis (see
discrimin.coa in ade4).
Alain
andreiabb wrote:
Dear Forum,
I have a class variable 1 (populations A-E), and two other class variables,
variable 2 and variable 3. What I want is to see if the combination of var 2
and var 3, will give me a pattern that allows to distinguish populations.
I found several packages like ade4, with pcaiv function and factoMineR. but
there are not working. Using the ade4 package, when I try to build the pca:
pca1 <- dudi.pca(D, scan = FALSE, nf = 2)
Error in v * row.w : non-numeric argument to binary operator
Does someone has suggestions?
Thanks,
Andy
--
Alain Guillet
Statistician and Computer Scientist
SMCS - Institut de statistique - Université catholique de Louvain
Bureau d.316
Voie du Roman Pays, 20
B-1348 Louvain-la-Neuve
Belgium
tel: +32 10 47 30 50
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