On Mon, Mar 16, 2009 at 7:21 PM, eitan lavi <lavi.ei...@gmail.com> wrote: > Hello > > I'm having trouble using lars and glmnet functions to predict on a new data > set with different nrow then the original : > > > for instance: > ============= > log.1 = glm(temp.data$TL~(.),temp.data,family = binomial,x=TRUE,y=TRUE)
I don't know if this is the problem or not (you didn't supply a reproducible example), but I'd expect your call to be: log.1 <- glm(TL ~ ., data = temp.data , family = binomial , x = TRUE, y = TRUE) i.e. when you supply a data frame you don't explicitly use it in the formula. Hadley -- http://had.co.nz/ ______________________________________________ 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.
