> > Thank you for your suggestion. > > Actually, I have already tried it, but I am confused because the plot I get > is not the same as the output of plot(model) or plot.gam(model). The yaxis > is different -- `plot.gam' will always plot the `centered smooth', i.e. the smooth constrained to sum to zero over the data. By default (i.e. using type="link") `predict.gam' will include the intercept in the predctions. If you want centered terms out of `predict.gam' use the `type="terms" option.
> > On the other hand, if I build a more complex model, as for example: > > model<- gam(x ~ s(lat,long) + s(temperature)) > > I would like to extract the information to build the effects for each > explanatory factor (one graph for s(lat,long) and another for > s(temperature)), as R does when you use 'plot(model)' and you press return > for subsequent pages. > Again, try predict.gam with type="terms" best, Simon -- > Simon Wood, Mathematical Sciences, University of Bath, Bath, BA2 7AY UK > +44 1225 386603 www.maths.bath.ac.uk/~sw283 ______________________________________________ R-help@stat.math.ethz.ch 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.
