Hi Jorge, thank you very much for your reply. I checked and have got the prediction of new values for lm or glm or nls, the new question is, is there any prediction for the cox model? I tried predict(Surv(y~x),newdata), it only gave the fitted values. Any clue on this? thanks a lot!
On 4/25/08, Jorge Ivan Velez <[EMAIL PROTECTED]> wrote: > > > Hi Lisa, > > See examples in ?predict.lm > > HTH, > > Jorge > > > On Fri, Apr 25, 2008 at 7:47 PM, Lisa <[EMAIL PROTECTED]> wrote: > >> Hi, I have a question about predicting new values from a fitted model in >> R. >> >> For example, if i fit a linear model >> >> fit<-lm(y~x) >> >> predict(fit) will give the fitted values for each x. >> >> I am wondering if there is a way to do some prediction of the fitted for >> some new values of x that are not in the data points? >> >> for example, x=0.5 is not in the original data (not a datapoint), is there >> a >> way to predict the fitted value corresponding to x=0.5 easily? >> >> Thank you! >> >> [[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<http://www.r-project.org/posting-guide.html> >> and provide commented, minimal, self-contained, reproducible code. >> > > > [[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.
