[R] Gam() function in R

[Liaw, Andy]

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.]

Cheers,
Andy

> 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!!
> 
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