Hi Chris, Is this what you have in mind?
> sum(with(yourdata, tapply(sus, id_r, function(x) any(x==0)))) [1] 13 HTH, Jorge On Wed, Apr 6, 2011 at 4:44 PM, Christopher Desjardins <> wrote: > Hi, > I have longitudinal school suspension data on students. I would like to > figure out how many students (id_r) have no suspensions (sus), i.e. have a > code of '0'. My data is in long format and the first 20 records look like > the following: > > > suslm[1:20,c(1,7)] > id_r sus > 11 0 > 15 10 > 16 0 > 18 0 > 19 0 > 19 0 > 20 0 > 21 0 > 21 0 > 22 0 > 24 0 > 24 0 > 25 3 > 26 0 > 26 0 > 30 0 > 30 0 > 31 0 > 32 0 > 33 0 > > Each id_r is unique and I'd like to know the number of id_r that have a 0 > for sus not the total number of 0. Does that make sense? > Thanks! > Chris > > [[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. > [[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.
