[R] GAMs in R : How to put the new data into the model?
Daniel Malter
daniel at umd.edu
Wed Sep 28 07:31:08 CEST 2011
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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