Dunno. You might wish to email the maintainer (see ?maintainer), who may not monitor this list, if you do not get a satisfactory reply here.
Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Wed, Jul 26, 2017 at 7:14 AM, john polo <jp...@mail.usf.edu> wrote: > UseRs, > > I have a dataframe with 2547 rows and several hundred columns in R 3.1.3. I > am trying to run a small logistic regression with a subset of the data. > > know_fin ~ > comp_grp2+age+gender+education+employment+income+ideol+home_lot+home+county > > > str(knowf3) > 'data.frame': 2033 obs. of 18 variables: > $ userid : Factor w/ 2542 levels "FNCNM1639","FNCNM1642",..: 1857 157 > 965 1967 164 315 849 1017 699 189 ... > $ round_id : Factor w/ 1 level "Round 11": 1 1 1 1 1 1 1 1 1 1 ... > $ age : int 67 66 44 27 32 67 36 76 70 66 ... > $ county: Factor w/ 80 levels "Adair","Alfalfa",..: 75 75 75 75 75 75 64 > 64 64 64 ... > $ gender : Factor w/ 2 levels "0","1": 1 2 1 1 2 1 2 1 2 2 ... > $ education : Factor w/ 8 levels "1","2","3","4",..: 6 7 6 8 2 4 2 4 2 6 > ... > $ employment: Factor w/ 9 levels "1","2","3","4",..: 8 4 4 4 3 8 5 8 4 4 > ... > $ income : num 550000 80000 90000 19000 42000 30000 18000 50000 > 800000 10000 ... > $ home: num 0 0 0 0 0 0 0 0 0 0 ... > $ ideol : Factor w/ 7 levels "1","2","3","4",..: 2 7 4 3 2 4 2 3 2 6 > ... > $ home_lot : Factor w/ 3 levels "1","2","3": 2 2 2 2 2 2 3 3 1 2 ... > $ hispanic : Factor w/ 2 levels "0","1": 1 1 1 1 1 1 1 1 1 1 ... > $ comp_grp2 : Factor w/ 16 levels "Cr_Gr","Cr_Ot",..: 13 13 13 13 13 13 > 10 10 10 10 ... > $ know_fin : Factor w/ 3 levels "0","1","2": 2 2 2 2 2 2 2 2 2 2 ... > > > With the regular glm() function, I get a warning about "perfect or > quasi-perfect separation"[1]. I looked for a method to deal with this and a > penalized GLM is an accepted method[2]. This is implemented in logistf(). I > used the default settings for the function. > > Just before I run the model, memory.size() for my session is ~4500 (MB). > memory.limit() is ~25500. When I start the model, R immediately becomes > non-responsive. This is in a Windows environment and in Task Manager, the > instance of R is, and has been, using ~13% of CPU aand ~4997 MB of RAM. It's > been ~24 hours now in that state and I don't have any idea of how long this > should take. If I run the same model in the same setting with the base > glm(), the model runs in about 60 seconds. Is there a way to know if the > process is going to produce something useful after all this time or if it's > hanging on some kind of problem? > > > [1]: > https://stats.stackexchange.com/questions/11109/how-to-deal-with-perfect-separation-in-logistic-regression#68917 > [2]: > https://academic.oup.com/biomet/article-abstract/80/1/27/228364/Bias-reduction-of-maximum-likelihood-estimates > > > -- > Men occasionally stumble > over the truth, but most of them > pick themselves up and hurry off > as if nothing had happened. > -- Winston Churchill > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
