See the note in the help page for ?predict.glm Best, Ista
On Tue, Jan 25, 2011 at 2:59 PM, Axel Urbiz <axel.ur...@gmail.com> wrote: > Dear List, > > I think I'm going crazy here...can anyone explain why do I get the same > predictions in train and test data sets below when the second has a missing > input? > > y <- rnorm(1000) > x1 <- rnorm(1000) > x2 <- rnorm(1000) > train <- data.frame(y,x1,x2) > test <- data.frame(x1) > > myfit <- glm(y ~ x1 + x2, data=train) > summary(myfit) > all(predict(myfit, test) == predict(myfit, train)) > > [1] TRUE > > > > Thanks, > > Axel. > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. > -- Ista Zahn Graduate student University of Rochester Department of Clinical and Social Psychology http://yourpsyche.org ______________________________________________ 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.