R help - Sep 2011 - GAMs in R : How to put the new data into the model?

I have 5  GAMs ( model1, model2, model3, model4 and model5)
Before I use some data X(predictor -January to June data) to form a equation
and calculate the expected value of Y (predictand -January to June). After
variable selection, GAMs (Model 1)were bulit up! R-square :0.40

NOW, I want to use new X'( predictor -July - December data) and put into
Model 1, then get the expected value of Y' (predictand-July -December)

I used mcgv package, what should I do now?


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Your questions is pretty opaque. Please adhere to the posting guide. Provide
a self-contained (!) example (i.e., code) that reproduces your problem.
Generally, you would predict like this:

x<-rnorm(100)
e<-rnorm(100)
y<-x+x^2+e
reg<-gam(y~s(x))
plot(reg)

predict(reg,newdata=data.frame(x=2))

where you can substitute any vector of values for x

HTH,
Daniel



pigpigmeow wrote:
> 
> I have 5  GAMs ( model1, model2, model3, model4 and model5)
> Before I use some data X(predictor -January to June data) to form a
> equation and calculate the expected value of Y (predictand -January to
> June). After variable selection, GAMs (Model 1)were bulit up! R-square
> :0.40
> 
> NOW, I want to use new X'( predictor -July - December data) and put
into
> Model 1, then get the expected value of Y' (predictand-July -December)
> 
> I used mcgv package, what should I do now?
> 
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For example: 
GAMs and after stepwise regression:
cod<-gam(newCO~RH+s(solar,bs="cr")+windspeed+s(transport,bs="cr"),family=gaussian
(link=log),groupD,methods=REML)

I used 10 year meterorology data (2000-2010) to form equation of
concentration of carbon monoxide.
NOW, I have 2011 meteorology data, I want to use the above GAMs to get the
predict value of concentration of carbon monoxide.

How can I put the 2011 data into this gam and get the expected value of
concentration of Carbon monoxide??


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