[R] Gam() function in R

Liaw, Andy andy_liaw at merck.com
Mon Dec 6 05:33:44 CET 2004

Unfortunately that's not really an R question.  I recommend that you read up
on the statistical methods underneath.  One that I'd wholeheartedly
recommend is Prof. Harrell's `Regression Modeling Strategies'.

[BTW, there are now two implementations of gam() in R: one in `mgcv', which
is fairly different from that in  `gam'.  I'm guessing you're referring to
the one in `gam', but please remember to state which contributed package
you're using, along with version of R and OS.]


> From: Janice Tse
> Hi all,
> I'm   a new user of R gam() function. I am wondering how do 
> we decide on the
> smooth function to use?
> The general form is gam(y~s(x1,df=i)+s(x2,df=j).......)  , 
> how do we decide
> on the degree freedom to use for each smoother, and if we shold apply
> smoother to each attribute?
> Thanks!!
> ______________________________________________
> R-help at 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

More information about the R-help mailing list