[R] Need help for SVM code for microarray classification

[Aadhithya]

Hello Steve 
   Thanks for quick responses its really helping me out .Ya I made the
necessary changes you had mentioned. I was not sure of that 'type' argument
where u had told me to set it to SVM . Do you mean I have to give that
argument in this line "cl <- c(c(rep("ALL",10), rep("AML",10)));" and when I
ran the code the following output I had got : 
result: 
pred  ALL AML 
  ALL   7   5 
  AML   3   5
Does this mean that 7 samples of ALL from test file has been classified as
ALL and 5 samples of ALL are classified as AML and so on or is there any
other way we can interpret this result . I had done one more thing I had
taken the transpose of both my test and train files as given below: 
model<- svm(t(train),cl); 
pred <- predict(model,t(test)); 
And the result I had got is : 
Result: 
pred   ALL     AML 
  ALL   10       0 
  AML   0       10 

why is there a difference in the result which I had given in the before
post?does this mean doing transpose classifies the samples better? or is
there any reason for this? 
I am sorry I am troubling you a lot  but seriously its a very timely help I
am really thankful to you. 

-Aadhithya
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