Hello,
I have a logistic regression model
contrasts(z) = contr.helmert(4)
mylogit = glm(binvar~x+y+z,
family=binomial("logit"))
summary(mylogit)
where x is a ratio variable, y is categorical with two levels, z is
categorical with 4 levels.
SPSS gives me the same values for the coefficients as R for x and y. But
those for z and the intercept are different. (I did use the Helmert contrast
in SPSS too.)
Is there some other parameter I need to specify in the model? The method
of entering variables in the model? Is that what is causing the difference?
Thanks,
Ravi Kulkarni
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