Christian Jones wrote: > > Hello together, > > I would like to predict my fitted values on a new dataset. The original > dataset consists of the variable a and b (data.frame(a,b)). The dataset for > prediction consists of the same variables, but variable b has a constant > value (x) added towards it (data.frame (a,b+x). > > The prediction command returns the identical set of predicted values as for > the original dataset yet I would have expected them to change due to b+x. > > Were have I gone wrong? > > Heres my code: > > orig.frame<-data.frame(y,a,b) > > pred.frame<-data.frame(a,b+x) > > attach(orig.frame) > > modela<-glm(y~a+b,binomial) > > pr<-predict(modela,newdata=pred.frame,type="response")
Does this work for you? orig.frame <- data.frame(y, a, b) pred.frame <- data.frame(a, b = b + x) modela <- glm(y ~ a + b, family = binomial, data = orig.frame) pr <- predict(modela, newdata = pred.frame, type = "response") -- Chuck Cleland, Ph.D. NDRI, Inc. 71 West 23rd Street, 8th floor New York, NY 10010 tel: (212) 845-4495 (Tu, Th) tel: (732) 452-1424 (M, W, F) fax: (917) 438-0894 ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
