[R] mgcv

[Joris Meys]

predict(sm1,type="terms",terms="s(x2)")

see ?predict.gam

Cheers
Joris

On Mon, Jun 7, 2010 at 7:25 PM, Dipa Hari <haridipa at yahoo.com> wrote:
>
>
> Hello Sir,
> I am using mgcv package for my data.
> My model is y~x1+f(x2),I want to find out the function f(x2) .
> Following is the code.
>
> sm1=gam(y~x1+s(x2),family=binomial, f)
> summary(sm1)
> plot(sm1,residuals=TRUE, xlab="AGE",pch=20)
>
> In this plot I am getting S(x2,1.93) on y axixs
> How should I get the function for x2 from this plot.or Is there anyother procedure in R  to get this function or value for that particular function.for example f(x2)= log(x2) so from that plot how can I get this kind of formula for x2 variable?
> How can I find variance covariance matrix  for that model and confidence interval for that model ? I tried delta method but I am not getting result.
> Hope you understand my question?
> Thanks
>
>
>
>
>
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>
>
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-- 
Joris Meys
Statistical consultant

Ghent University
Faculty of Bioscience Engineering
Department of Applied mathematics, biometrics and process control

tel : +32 9 264 59 87
Joris.Meys at Ugent.be
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