> On Mar 15, 2016, at 1:27 PM, Michael Artz <michaelea...@gmail.com> wrote: > > Hi, > I am trying to use the summary from the glm function as a data source. I > am using the call sink(<some file>) then > summary(logisticRegModel)$coefficients then sink().
Since it's a matrix you may need to locate a function that write matrices to files. I seem to remember that the MASS package has one. > The independent > variables are categorical and thus there is always a baseline value for > every category that is omitted from the glm output. Well, it's not really omitted, so much as shared among all variables. For further reading in the halp pages consult: ?model.matrix ?contrasts ?contr.treatment But you probably need to supplement that with an introductory text that covers R regression defaults. > I am interested in how > to get the Z column for all of the categorical values. The Z column? You meant the "z value" column. Again, since it's a matrix you need to use column indexing with "[" summary(logisticRegModel)$coefficients[ , "z value"] Read up on the summary function for glm objects at: ?summary.glm > I don't see any row > for the reference category. What do you imagine the (Intercept) row to be doing? If you are having difficulty understanding this (which is not really an R-specific issue) there are probably already several explanations to similar questions on: http://stats.stackexchange.com/ > > How can I get this Z value in the output? Asked and answered. > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. David Winsemius Alameda, CA, USA ______________________________________________ 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.