The actual "date" col is in yyyy-mm-dd format, and when I apply this code to my actual data, it mess up the order
On Wed, May 29, 2013 at 11:37 AM, arun <smartpink...@yahoo.com> wrote: > > > Hi, > May be I misunderstood your question: > dat<- read.table(text=" > Date Time Var > 1 1 2 > 1 1 4 > 1 1 5 > 1 2 8 > 1 2 8 > 1 2 9 > 2 1 3 > 2 1 4 > 2 1 4 > ",sep="",header=TRUE) > dat$UniqueID <- paste(dat$Date,dat$Time, sep = '_') > aggregate(dat$Var,list(dat$UniqueID),sum) #isn't this the correct order > # Group.1 x > #1 1_1 11 > #2 1_2 25 > #3 2_1 11 > library(plyr) > ddply(dat,.(UniqueID),summarize,Var=sum(Var)) > # UniqueID Var > #1 1_1 11 > #2 1_2 25 > #3 2_1 11 > A.K. > > > > ----- Original Message ----- > From: Ye Lin <ye...@lbl.gov> > To: R help <r-help@r-project.org> > Cc: > Sent: Wednesday, May 29, 2013 2:23 PM > Subject: [R] combine two columns into one > > Hey all! > > I have a time series dataset like this: > > Date Time Var > 1 1 2 > 1 1 4 > 1 1 5 > 1 2 8 > 1 2 8 > 1 2 9 > 2 1 3 > 2 1 4 > 2 1 4 > > I created a unique id for each row: > dat$UniqueID <- paste(dat$Date,dat$Time, sep = '_') > > then > > aggregate(dat$Var, list(dat$UniqueID), sum) > > however the final output is not in ideal order I look for (I simply this > example provided above).I would like to have order like this: > > 1_1 > 1_2 > 2_1 > > Thanks for your help! > > [[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.
