i could remember exactly but it is like something: components <- predict(gam.object, type = "terms")
On Mon, Mar 10, 2008 at 1:36 PM, Michael A. Milligan <[EMAIL PROTECTED]> wrote: > Hello, > > I am estimating a semiparametric partial linear model > using gam of the form > > y=f1(x1)+f2(x2)+beta*X > > where y is the dependent variable, f1(x1) and f2(x2) > are nonparametric functions of the independent > variables x1 and x2, respectively, and beta and X are > vectors of coefficients and independent variables. > The R code is > > EqGamAS <- gam(y ~ X+s(x1)+s(x2)) > > My question is, how can I extract the fitted values > of, say, f1(x1)? Of course fitted(EqGamAS) returns > the fitted values of the entire regression function, > but is there a way to view only one component of the > nonparametric part of the estimation? I have looked > through documentation and help archives and have not > found the answer. I appreciate very much any help > anyone can give me. > > Michael Milligan > Doctoral Candidate > University of New Mexico > > > > ____________________________________________________________________________________ > Be a better friend, newshound, and > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- =============================== WenSui Liu ChoicePoint Precision Marketing Phone: 678-893-9457 Email : [EMAIL PROTECTED] Blog : statcompute.spaces.live.com ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
