I am trying to learn to tune a svm model in R. I'm using the sonar data set used by David Mease in his Google Tech Talk video. I downloaded the data from his site. There are 130 observations in the training set. I am able to run a svm model. But when I try to run this command:
tune_svm <-tune.svm(y~., data=x, gamma=10^(-6:-3), cost=10^(1:2)) where y is the categorical response vector for the training set and x is the training data for x, I get the following error: Error in model.frame.default(formula, data) : variable lengths differ (found for 'V1') I've doublechecked that all the data is the same length. I cleared the workspace to make sure that I didn't have any other data labeled as x or y. Can someone tell me what I am doing wrong here? Thanks. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
