Dear all, I am trying to do a n-fold cross-validation for a regularized discrimant function analysis using rda from the package klaR. However, I have problems to predict the groups from the test/validation sample. The exmaples of the R documantation and some online webpage also do not work. Does anybody know what I have done wrong?
Here my code # I want to use the first 6 observations for validationg the model, case 7 to 36 are # used for the trianing: n_fold<-sample(1:36,36) testset<- n_fold[1:6] trainset<- n_fold[-(1:6)] # regularized DFA with default setting (works fine) z <- rda(group ~ ., data=test[trainset,]) #Now the prediction: a<-predict(z,data=test[testset,])$class Error in predict.rda(z, data = test[testset, ]) : A new data to predict must be supplied. Whatever I do I always get the same error message (including examples form help) Thanks a lot in advance! Best wishes, Daneil -- ______________________________________________ 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.
