See: https://stat.ethz.ch/pipermail/r-help/2007-May/132866.html
On Dec 7, 2007 3:32 AM, Rense Nieuwenhuis <[EMAIL PROTECTED]> wrote: > Dear helpers, > > I've come up with what is probably a simple problem, but I cannot > find the solution. I have a data-set containing survey-data from > several countries. What I want to do is to perform some regression > analyses, for each country separately. The question is, how to do > this nicely (thus without repeating the same syntax with another > `subset' argument). > > I thought of the following: > > model.per.country <- tapply(data, data$COUNTRY, function(x) glm > (dependent.var ~ FEMALE + AGE + EDUCLIN + (), family=binomial, > data=capital)) > > But this does not work. What goes wrong, I think, is that the > dependent variable is clustered according to `Country', but not so > for the predictors. The error message I received: > > Error in tapply(dat, dat$COUNTRY, function(x) glm(participate ~ > FEMALE + : > arguments must have same length > > > > > Could you please help me solving this little problem? > > Thanks in advance: > > Rense Nieuwenhuis > > > > [[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. > ______________________________________________ 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.