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 > 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.
