predict.svm() can give you the decision values which are the distances you are looking for (up to a scaling constant). Regards, David
Hi, I know this question has been posed before, but I didnt find the answer in the R-help archive, so please accept my sincere apologies for being repetitive: How can one (elegantly) calculate the distance between data points (in the transformed space, I suppose) and the hyperplane that separates the 2 categories when using svm() from the e1071 library?
thanks a lot, Hans
Dr. David Meyer Department of Information Systems and Operations Vienna University of Economics and Business Administration Augasse 2-6, A-1090 Wien, Austria, Europe Fax: +43-1-313 36x746 Tel: +43-1-313 36x4393 HP: http://wi.wu-wien.ac.at/~meyer/