On Feb 22, 2011, at 11:34 PM, clc wrote:
Hi i am doing an environmental research
The equation is as follow:
gam(y1 ~ x1 + s(x2) + s(x3) + s(x4), family = gaussian, fit = true)
I would like to obtain the beta coefficient and 95CI of x4 (or
s(x4)), what
should I do?
You should re-think your expectations. There is no "beta coefficient".
The whole point of smooth terms in gam models is that the role of the
beta coefficient in ordinary models is taken over by a function that
varies across the range of x4. If yu want to see its form, you need to
specify the other terms and plot the results of predict(gam(.)) with
varying x4.
Thanks,
Lung
--
View this message in context:
http://r.789695.n4.nabble.com/mgcv-beta-coefficient-and-95-CI-tp3320491p3320491.html
==
David Winsemius, MD
West Hartford, CT
______________________________________________
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.
