[R] How to get curve information from a gam model

[David Winsemius]

On Sep 11, 2012, at 12:10 PM, exu wrote:

> Thanks for the response. But I'm relatively new to R, could you elaborate a bit? I tried
> 
> P <-predict.gam(model,type=terms")
> 
> But I'm having a hard time to trying to make sense of the resulting data.

And I'm having even greater difficulty because I cannot see any of it. 

(My prediction: It gave you linear predictors at your original data points, since you did not give it a newdata argument and you only have one term.  I suspect that the chosen smoothing basis might have constructed a matrix output.)

The help page ?mgcv::predict.gam has worked examples. In fact the first example illustrated what I thought you would be attempting. Working through all the examples on a help page is a great way to learn a function's capabilities.

-- 
David.

> 
> Regards,
> 
> Eugene Xu
> LIBREMAX CAPITAL, LLC.
> 830 Third Avenue
> Suite 801
> NewYork, NY 10022
> (212) 612-1598 (O)
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> 
> From: David Winsemius [via R] [mailto:ml-node+s789695n4642822h94 at n4.nabble.com]
> Sent: Tuesday, September 11, 2012 3:00 PM
> To: Eugene Xu
> Subject: Re: How to get curve information from a gam model
> 
> 
> On Sep 11, 2012, at 8:08 AM, exu wrote:
> 
>> I'm using library(mgcv)
>> 
>> I did a gam regression like this
>> 
>> model <- gam(formula = y ~ s(x), family="binomial")
>> 
>> Now I'd like to get 2 vectors x and z (with z=s(x)), so that I can implement
>> the model outside R.  How can I do this?
> 
> ?predict.gam
> 
> --
> 
> David Winsemius, MD
> Alameda, CA, USA
> 

David Winsemius, MD
Alameda, CA, USA