predict(sm1,type="terms",terms="s(x2)") see ?predict.gam
Cheers Joris On Mon, Jun 7, 2010 at 7:25 PM, Dipa Hari <harid...@yahoo.com> wrote: > > > Hello Sir, > I am using mgcv package for my data. > My model is y~x1+f(x2),I want to find out the function f(x2) . > Following is the code. > > sm1=gam(y~x1+s(x2),family=binomial, f) > summary(sm1) > plot(sm1,residuals=TRUE, xlab="AGE",pch=20) > > In this plot I am getting S(x2,1.93) on y axixs > How should I get the function for x2 from this plot.or Is there anyother > procedure in R to get this function or value for that particular > function.for example f(x2)= log(x2) so from that plot how can I get this kind > of formula for x2 variable? > How can I find variance covariance matrix for that model and confidence > interval for that model ? I tried delta method but I am not getting result. > Hope you understand my question? > Thanks > > > > > > [[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. > > -- Joris Meys Statistical consultant Ghent University Faculty of Bioscience Engineering Department of Applied mathematics, biometrics and process control tel : +32 9 264 59 87 joris.m...@ugent.be ------------------------------- Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php ______________________________________________ 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.
