one way is the following:
dat. <- data.frame(V1 = min(dat$V1):max(dat$V1), V2 = 0)
newdat <- merge(dat, dat., by = "V1", all.y = TRUE, suffixes = c("", "."))
newdat$V2[na.ind] <- newdat$V2.[na.ind <- is.na(newdat$V2)]
newdat[-3]I hope it helps. Best, Dimitris Gundala Viswanath wrote:
Dear all, I have a data frame that looks like this:datV1 V2 1 -8 100 2 -6 20.2 3 -1 1.5 4 2 3.00 5 3 78.8 6 5 33.2 7 6 44.5 8 7 5.00 Now I want to fill the V1 column in series (note that it is gapped), with the corresponding value in V2 as 0. So in the end we would like to have:newdatV1 V2 1 -8 100 2 -6 20.2 3 -7 0 4 -6 0 5 -5 0 6 -4 0 7 -3 0 8 -2 0 9 -1 1.5 10 0 0 11 1 0 12 2 3.00 13 3 78.8 14 4 0 15 5 33.2 16 6 44.5 17 7 5.00 Is there a way to do it in R? - Gundala Viswanath Jakarta - Indonesia ______________________________________________ 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.
-- Dimitris Rizopoulos Assistant Professor Department of Biostatistics Erasmus University Medical Center Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands Tel: +31/(0)10/7043478 Fax: +31/(0)10/7043014 ______________________________________________ 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.
