Hello fellow R users, I have been getting a strange error message when using the cv.glmnet function in the glmnet package. I am attempting to fit a multinomial regression using the lasso. covars is a matrix with 80 rows and roughly 4000 columns, all the covariates are binary. resp is an eight level factor. I can fit the model with no errors but when I try to cross-validate after about 30 seconds I get the following:
> glmnet.fit = glmnet(covars,resp,family="multinomial") > glmnet.cv = cv.glmnet(covars,resp,family="multinomial",type="class") Error in if (outlist$msg != "Unknown error") return(outlist) : argument is of length zero It seems like it makes it through the first couple folds but trips up somewhere in the middle. The example in the documentation works perfectly on my machine. Any ideas on what the problem may be? Thanks! Dave -- View this message in context: http://r.789695.n4.nabble.com/glmnet-strange-error-message-tp2240458p2240458.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.
