dat$group <- cut( dat$Var, breaks=c(-Inf,0.1, 0.6,Inf)) levels(dat$group) <- LETTERS[1:3]
--------------------------------------------------------------------------- Jeff Newmiller The ..... ..... Go Live... DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/Batteries O.O#. #.O#. with /Software/Embedded Controllers) .OO#. .OO#. rocks...1k --------------------------------------------------------------------------- Sent from my phone. Please excuse my brevity. Ye Lin <ye...@lbl.gov> wrote: >hey, I want to divide my data into three groups based on the value in >one >column with group name. > >dat: > >Var >0 >0.2 >0.5 >1 >4 >6 > >I tried: > >dat <- cbind(dat, group=cut(dat$Var, breaks=c(0.1,0.6))) > >But it doesnt work, I want to group those <0.1 as group A, 0.1-0.6 as >group >B, >0.6 as group C > >Thanks for your help! > > [[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. ______________________________________________ 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.