Thank you Rui, I did not get the desired result. Here is the output from your script
A B C Y D E 1 A12 B03 C04 0.70 0 0 2 A23 B05 C06 0.05 0 0 3 A14 B06 C07 1.20 0 0 4 A25 A23 A12 3.51 1 1 5 A16 A25 A14 2,16 4 4 On Wed, Dec 13, 2017 at 4:36 PM, Rui Barradas <ruipbarra...@sapo.pt> wrote: > Hello, > > Here is one way. > > tdat$D <- ifelse(tdat$B %in% tdat$A, tdat$A[tdat$B], 0) > tdat$E <- ifelse(tdat$B %in% tdat$A, tdat$A[tdat$C], 0) > > > Hope this helps, > > Rui Barradas > > > On 12/13/2017 9:36 PM, Val wrote: > >> Hi all, >> >> I have a data frame >> tdat <- read.table(textConnection("A B C Y >> A12 B03 C04 0.70 >> A23 B05 C06 0.05 >> A14 B06 C07 1.20 >> A25 A23 A12 3.51 >> A16 A25 A14 2,16"),header = TRUE) >> >> I want match tdat$B with tdat$A and populate the column values of >> tdat$A >> ( col A and Col B) in the newly created columns (col D and col E). >> please >> find my attempt and the desired output below >> >> Desired output >> A B C Y D E >> A12 B03 C04 0.70 0 0 >> A23 B05 C06 0.05 0 0 >> A14 B06 C07 1.20 0 0 >> A25 A23 A12 3.51 B05 C06 >> A16 A25 A14 2,16 A23 A12 >> >> my attempt, >> >> tdat$D <- 0 >> tdat$E <- 0 >> >> if(tdat$B %in% tdat$A) >> { >> tdat$D <- tdat$A[tdat$B] >> tdat$E <- tdat$A[tdat$C] >> } >> but did not work. >> >> Thank you 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/posti >> ng-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> >> [[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.