R help - Dec 2009 - Error with Package "Kernlab" for SVM prediction

Hi All,

I am trying to use the "Kernlab" package for training and prediction
using
SVM's. I am getting the following error when I am trying to use the predict
function:
> predictSvm = predict(modelforSVM, testSeq);
Error in `contrasts<-`(`*tmp*`, value = "contr.treatment") :
  contrasts can be applied only to factors with 2 or more levels

The training file is a data frame with 501 columns: Col 1 is "Class"
which
is "+" or "-" and Cols V1 to V500 are "A/C/G/T" .
There are 200 seq's for
training (100 + and - each)
The model that I have generated is as follows:

modelforSVM <- ksvm(Class ~ ., data = train500, kernel = "rbfdot",
kpar "automatic", C = 60, cross = 3, prob.model = TRUE)

The testSeq is a vector of 500 characters casted as a data.frame. I tried
adding the Class column as well later to the testSeq data frame but got the
same error.

I am using R with windows, 32 bit, version 2.9.0

Any help is much appreciated.

Thanks,

Vishal
-- 
Vishal Thapar, Ph.D.
Post Doctoral Researcher
Cold Spring Harbor Lab
Williams Bldg

1 Bungtown Road
Cold Spring Harbor, NY - 11724

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