Okay, I will do that, thank you. prop.test seems to work, too, someone wrote me?! prop.test(x=c(40,100), n=c(200,300))
I tried it and it seems fine.. is it the same or is chisq.test better? I will read a bit about chi-square tests now.. Thanks a lot, Lila Richard Cotton wrote: > > > Lila86 wrote: >> >> I have two groups (men and women) and I know per group how many of them >> smoke or don't smoke (women 40 of 200; men 100 of 300). I would like to >> know how I can compare in R if men and women differ significantly in >> their smoking. However, because there are more men in the sample than >> women I cannot just compare the number of smokers and non-smokers in both >> groups, right?! (I would not really know how to do that either, to be >> honest :(). >> > > Read up on contingency tables, and take a look at ?chisq.test. > -- View this message in context: http://www.nabble.com/Comparing-proportions-between-groups-tp16348714p16349016.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
