There are more than one way to do it, and it would help if you provided some sample data.
But here is an example for one way to do it: examp.dat <- as.data.frame(matrix(sample(1:5, 100*6, replace=TRUE), ncol=6) tmp.count <- apply(examp.dat, 1, function(x) sum(x>=3)) examp2.dat <- examp.dat[tmp.count <= 4, ] examp.dat is a data frame with example data. tmp.count is then the result of applying an anonymous function to each row, the function counts how many entries in each row are greater than or equal to 3 examp2.dat is then created as the subset where tmp.count is less than or equal to 4. On Wed, Jun 10, 2020 at 12:47 PM Aya Gilad <ayagi...@gmail.com> wrote: > > Hello, > I'm analyzing a 6-question questionnaire. I need to exclude participants > who answered more than 4 questions with a grade of 3 or higher. > How do I write such a code? > Thank you! > > [[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. -- Gregory (Greg) L. Snow Ph.D. 538...@gmail.com ______________________________________________ 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.
