Following is the error I am getting: Error in svm.default(train, cl) : Need numeric dependent variable for regression. My dataset looks like this in both training and testing: ALL ALL ALL ALL ALL ALL ALL ALL ALL ALL AML AML AML AML AML AML AML AML AML AML 0.9389671 1.0892019 0.24647887 0.57042253 0.10798122 0.58685446 0.0 0.5399061 0.20422535 0.2488263 0.84976524 0.7910798 0.39906102 0.5633803 1.0938967 0.86384976 1.0633802 0.713615 0.5375587 0.07042254 1.7179487 0.0 0.32051283 0.012820513 0.0 0.0 0.2820513 0.98717946 0.26923078 0.07692308 0.0 0.0 0.24358974 0.0 0.0 0.46153846 0.0 0.20512821 0.20512821 0.0 1.4024506 0.20640905 0.10084826 0.09142318 0.037700284 0.07257304 0.1206409 0.14514609 2.0 0.11310085 0.030160226 0.15834118 0.0028275212 1.1630538 0.14137606 0.31479737 0.2544769 0.12629595 0.24222432 0.0028275212 first line Has the class whether it is ALL or AML class and from the next line I have the expression values is this the right way to give the dataset to R for SVM classification? Thanks a lot for immediate reply. I am really grateful. - Aadhithya -- View this message in context: http://r.789695.n4.nabble.com/Need-help-for-SVM-code-for-microarray-classification-tp2271652p2272045.html Sent from the R help mailing list archive at Nabble.com.
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