For the components: result = predict(b, type="terms") For the total fit: result = predict(b) result = b$fitted.values
On Wed, Dec 7, 2011 at 3:24 AM, Mintewab Bezabih < mintewab.beza...@economics.gu.se> wrote: > Dear R users, > > I have now managed to fit the curve using the thin plate spline as follows: > > library(mgcv) > b <- gam(y~s(x1,x2,k=100),data =dat) > vis.gam(b) > > What I want now is to get the fitted data for y and copy it so that I use > it for further analysis. > > Many thanks in advance > > mintewab > ______________________________________________ > 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.
