[R] Gam() function in R
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?
> R-help at stat.math.ethz.ch mailing list
> PLEASE do read the posting guide!
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