Dear list, Apologies for a likely naive question.
I am trying to create a discriminating dummy variable using 'ifelse' based on conditions in two variables. Specifically, I want to assign levels in a new factor as '0' or '1' based on a user-defined cut off. I.e. something similar to: >data1<-data.frame(molecule=runif(30,min=0,max=1e3)) >data1$newcol<-ifelse(data1$molecule>2*sd(data1$molecule),1,0) Which is all straightforward. But how do I go on to assign values in variable 'molecule'based on the same cut off, but separately for each level of a second variable, in this case the factor 'fruit' with three levels. That is, how do I derive fruit-specific cut-offs using a data frame with the general structure of that below? >data2<-data.frame(molecule=runif(30,min=0,max=1e3),fruit=factor(rep(c('apple','pear','orange'),10))) Many thanks in advance! [[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.