dd <- data.frame(longVariableName1=sample(1:4, 10, replace=TRUE), longVariableName2=sample(1:4, 10, replace=TRUE)) dd # define who is a case and who is not transform(dd, case=(longVariableName1==3 | longVariableName2==3))
But in reality I have 9 of those longVariableName variables, all of this pattern: alphaCauseX, where X is an integer 1:9. For any given observation, if any of them == 3, then case=TRUE Is there a shorter or more elegant way of doing this than typing out that long string of 9 OR clauses? I read about any(), but couldn't quite make that do what I want. Maybe I was using it wrong. Thanks. --Chris Ryan ______________________________________________ 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.
