Your questions is pretty opaque. Please adhere to the posting guide. Provide a self-contained (!) example (i.e., code) that reproduces your problem. Generally, you would predict like this:
x<-rnorm(100) e<-rnorm(100) y<-x+x^2+e reg<-gam(y~s(x)) plot(reg) predict(reg,newdata=data.frame(x=2)) where you can substitute any vector of values for x HTH, Daniel pigpigmeow wrote: > > I have 5 GAMs ( model1, model2, model3, model4 and model5) > Before I use some data X(predictor -January to June data) to form a > equation and calculate the expected value of Y (predictand -January to > June). After variable selection, GAMs (Model 1)were bulit up! R-square > :0.40 > > NOW, I want to use new X'( predictor -July - December data) and put into > Model 1, then get the expected value of Y' (predictand-July -December) > > I used mcgv package, what should I do now? > -- View this message in context: http://r.789695.n4.nabble.com/GAMs-in-R-How-to-put-the-new-data-into-the-model-tp3849851p3850063.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.
