Hello R Help, I have a data set with 30 variables, some of these variables are factors while some are numeric. My response variable is binary and I have made sure that this is set as a factor with two levels and given each level a name "Yes" and "No". I would like to run the randomPackage to discover variable importance but when ever I try the following code:
model <- randomForest(IsBadBuy~. , data = train, importance=TRUE, keep.forest=TRUE) I am given the response: Error in na.fail.default(list(IsBadBuy = c(1L, 1L, 1L, 2L, 1L, 1L, 1L, : missing values in object However, I have gone through all of my variables and I have not found one single missing value. Can someone please advise me? Thank you in advance Graeme -- View this message in context: http://r.789695.n4.nabble.com/Can-I-use-random-Forest-package-tp4569311p4569311.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.