Hi all, Given a simple logistic regression on a training data set using glm, the number of predicted values is less than the number of observations in the training set:
> fit.train.pred <- predict(fit, type = "response") > nrow(train) [1] 62660 > length(fit.train.pred) [1] 58152 > As a relative newcomer, I've run lots of simple glm, CART etc. models but this is the first time I have seen this happen. Is this a common issue and is there a fix? An option to predict() perhaps? -- Cheers, Mark Mark Drummond m...@markdrummond.ca When I get sad, I stop being sad and be Awesome instead. TRUE STORY. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.