See the note in the help page for ?predict.glm
Best,
Ista
On Tue, Jan 25, 2011 at 2:59 PM, Axel Urbiz axel.ur...@gmail.com wrote:
Dear List,
I think I'm going crazy here...can anyone explain why do I get the same
predictions in train and test data sets below when the second has a missing
input?
y - rnorm(1000)
x1 - rnorm(1000)
x2 - rnorm(1000)
train - data.frame(y,x1,x2)
test - data.frame(x1)
myfit - glm(y ~ x1 + x2, data=train)
summary(myfit)
all(predict(myfit, test) == predict(myfit, train))
[1] TRUE
Thanks,
Axel.
[[alternative HTML version deleted]]
__
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.
--
Ista Zahn
Graduate student
University of Rochester
Department of Clinical and Social Psychology
http://yourpsyche.org
__
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.
