This is great! Thank you so much.
On Tue, Aug 27, 2013 at 3:06 PM, arun <smartpink...@yahoo.com> wrote: > Hi, > May be this helps: > dat1<- read.table(text=" > id user action > 1 12 login > 2 12 view > 3 12 view > 4 12 view > 5 12 login > 6 12 view > 7 12 view > 8 12 login > ",sep="",header=TRUE,stringsAsFactors=FALSE) > > > split(dat1,cumsum(dat1$action=="login")) > #$`1` > # id user action > #1 1 12 login > #2 2 12 view > #3 3 12 view > #4 4 12 view > # > #$`2` > # id user action > #5 5 12 login > #6 6 12 view > #7 7 12 view > # > #$`3` > # id user action > #8 8 12 login > A.K. > > > > ----- Original Message ----- > From: srecko joksimovic <sreckojoksimo...@gmail.com> > To: R-help@r-project.org > Cc: > Sent: Tuesday, August 27, 2013 3:29 PM > Subject: [R] Iterate over rows and update values based on condition > > Hi, > > I have a data set with structure similar to this: > id user action > 1 12 login > 2 12 view > 3 12 view > 4 12 view > 5 12 login > 6 12 view > 7 12 view > 8 12 login > > I want to create a list of sessions. That means to split table on every > occurrence of "login". Using Java (or some other language), I would > probably iterate through rows and create new List instance on every > "login", but I guess there is more efficient way to do that using R? > > Thanks > > [[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.
