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/ ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html