Hi, Try: Assuming your dataset looks like below (please use ?dput) dat <- read.table(text="Day Jan Feb Mar Apr 1 0 2.5 0.5 2 2 0 6.5 0 29 3 0 9.5 0 0 4 0 0 8 0.5 5 0 5 0.5 110.5 6 0 4 3.5 22 7 11 0 12.5 3.5 8 0 5 8 36.5",sep="",header=TRUE) library(reshape2)
res <- transform(melt(dat,id.var="Day"),Date=paste(Day,match(variable,month.abb),2012,sep="/"),Amount=value)[,-c(1:3)] A.K. On Monday, February 24, 2014 10:20 PM, dila radi <dilarad...@gmail.com> wrote: Hi all, I have a data set in this form: Year: 2012 Day Jan Feb Mar Apr 1 0 2.5 0.5 2 2 0 6.5 0 29 3 0 9.5 0 0 4 0 0 8 0.5 5 0 5 0.5 110.5 6 0 4 3.5 22 7 11 0 12.5 3.5 8 0 5 8 36.5 I want to rearrange the data in this form: Date Amount 1/1/2012 0 2/1/2012 0 3/1/2012 0 4/1/2012 0 ... ... ... ... How can I achieve this? Thank you in advanced! Regards, Dila [[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.
