Hi dear R users, I am using the function errorest from the libbrary ipred to estimate the 10 fold and bootstrap classification error rate using regularized discriminat function analysis (functiopn rda from library klaR). Is it possible to set my own values for gamma and lambda? Any help will be highly appreciated!
Best wishes, Felix library(klaR) library(ipred) # force predict to return class labels only mypredict.lda <- function(object, newdata) predict(object, newdata = newdata)$class # 10-fold cv of RDA for Iris data errorest(Species ~ ., data=iris, model=rda, estimator = "cv", predict= mypredict.lda) -- ______________________________________________ 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.
