You can use function reshape(), e.g., DF <- data.frame(ID = LETTERS[1:3], T0 = c(1,4,7), T1 = c(2,5,8), T2 = c(3,6,9))
DF.new <- reshape(DF, idvar = "ID", direction = "long", varying = list(2:4), times = names(DF[-1])) DF.new DF.new[order(DF.new$ID), ] I hope it helps. Best, Dimitris On 9/22/2011 3:54 PM, Eugene Kanshin wrote:
Hello, I need to convert dataframe from: ID T0 T1 T2 A 1 2 3 B 4 5 6 C 7 8 9 to: ID Variable Value A T0 1 A T1 2 A T2 3 B T0 4 B T1 5 B T2 6 C T0 7 C T1 8 C T2 9 i tried to use melt cast but it gives me all the time not exactly what I need. Thank you. [[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.
-- 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 Web: http://www.erasmusmc.nl/biostatistiek/ ______________________________________________ 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.