On Sep 25, 2009, at 6:29 AM, Ashta wrote:
Dear R-users,
Suppose I have the following sample of data,
0 1 2 4 3
1 2 1 3 1
1 3 3 4 1
0 1 2 1 2
1 4 1 4 2
1 2 2 1 1
The first variable is the response variable where 0 is defective and 1
normal. The other four factors( x1,x2,x3,x4) that influence the
outcome. I
want to fit a binomial model . How do I do that? I am guessing the
response
variable should be transformed but not sure which family of
transformation
to use.
It is easy to do it in SAS but I just want to learn using R
Any help is highly appreciated
Ashta
Presuming that your reference to SAS is to PROC LOGISTIC, then in R
you would use glm() with 'family = binomial'.
Using:
help.search("logistic regression")
would get you a lot of hints.
See ?glm for more information, or alternatively, the lrm() function in
Frank's 'rms' package on CRAN.
I would however hope that your actual working data set is much larger,
as you don't have enough data above to support a single covariate,
much less 4.
HTH,
Marc Schwartz
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