Hello all,
I am running a logistic model with a continuous variable as first
predictor and factor variable as the second. I would like to include
an interaction term in the following fashion:
outcome ~ continous + factor + normalized(continuous):factor
My problem is that when I do so, the reference category is not the same as in
outcome ~ continous * factor
Which makes comparison of the models difficult. I am sure there is a way to
force the reference category to be the same all the time, but can't seem to
find a straightforward answer.
Thanks in advance
[[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.
