Sorry, you don't need 'melt' : cast(truc, Subject ~ Quarter)
2009/2/19 David Hajage <dhajag...@gmail.com> > "And I would like to group the Subject by Quarter using as a result in the > table the value of the third variable (Boolean). The final result would > give: > > Subjet Q1 Q2 Q3 Q4 > 1 100 Y Y Y Y > 2 101 N N N N" > > Are you sure that this is the final result you want ? > > You could use the reshape package (and not reshape function) : > library(reshape) > truc <- data.frame(Subject=rep(100:101, each=4), > Quarter=rep(paste("Q",1:4,sep=""),2), Boolean = rep(c("Y","N"),4)) > mtruc <- melt(truc, id = c("Subject", "Quarter")) > cast(mtruc, Subject ~ Quarter) > > Final result : > Subject Q1 Q2 Q3 Q4 > 1 100 Y N Y N > 2 101 Y N Y N > > > 2009/2/19 Pascal Candolfi <pcando...@gmail.com> > > I have the initial matrice: >> >> > *data.frame(Subject=rep(100:101, each=4), Quarter=rep(paste("Q",1:4, >> sep=""),2), Boolean = rep(c("Y","N"),4))* >> Subject Quarter Boolean >> 1 100 Q1 Y >> 2 100 Q2 N >> 3 100 Q3 Y >> 4 100 Q4 N >> 5 101 Q1 Y >> 6 101 Q2 N >> 7 101 Q3 Y >> 8 101 Q4 N >> ... >> > >> >> And I would like to group the Subject by Quarter using as a result in the >> table the value of the third variable (Boolean). The final result would >> give: >> >> Subjet Q1 Q2 Q3 Q4 >> 1 100 Y Y Y Y >> 2 101 N N N N >> ... >> > >> >> I started using the *table(Subject, Quarter)* but can't find a way to >> correspond the Boolean information in the table.... >> Thanks in advance for the ideas... >> >> Pascal Candolfi >> >> [[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. >> > > [[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.