do you have factors (categorical variables) in the model? it could be just a parameterization difference.
albyn On Thu, Nov 11, 2010 at 12:41:03PM -0500, Benjamin Godlove wrote: > Dear R developers, > > I have noticed a discrepancy between the coefficients returned by R's glm() > for logistic regression and SAS's PROC LOGISTIC. I am using dist = binomial > and link = logit for both R and SAS. I believe R uses IRLS whereas SAS uses > Fisher's scoring, but the difference is something like 100 SE on the > intercept. What accounts for such a huge difference? > > Thank you for your time. > > Ben Godlove > > [[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. > -- Albyn Jones Reed College jo...@reed.edu ______________________________________________ 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.
