Another approach to to make a table and extract your summaries from the table:
> tbl <- with(Test, table(ID, IsZero=X==0)) > tbl IsZero ID FALSE TRUE 1 3 1 2 0 2 3 0 3 > sum(tbl[,"FALSE"] == 0) [1] 2 > sum(tbl[,"FALSE"] == 0 & rowSums(tbl)>=3) [1] 1 Remove the calls to sum() from those expressions and you will see which ID's satisfy the conditions. Bill Dunlap TIBCO Software wdunlap tibco.com On Mon, Dec 22, 2014 at 10:54 AM, Chel Hee Lee <chl...@mail.usask.ca> wrote: > > > tmp <- split(Test, Test$ID) > > > > # number of subjects with X=0 (all periods) > > x <- lapply(tmp, function(x) all(x$X ==0)) > > length(x[unlist(x)]) > [1] 2 > > > > # number of subjects with X=0 (at least three weeks) > > x <- lapply(tmp, function(x) sum(x$X==0)>=3) > > length(x[unlist(x)]) > [1] 1 > > > > Is this what you are looking for? I hope this helps. > > Chel Hee Lee > > On 12/22/2014 7:45 AM, najuzz wrote: > >> #Hi guys, >> >> #I would like to count the number of individuals that receive X=0 >> troughout >> their observational period. >> #example dataset: >> >> ID<-c(1,1,1,1,2,2,3,3,3) >> X<-c(0,1,2,1,0,0,0,0,0) >> Time<-c(1,2,3,4,1,2,1,2,3) >> Test<-data.frame(ID,X,Time) >> >> # Individuals 2 and 3 have x=0 during all their periods. The count should >> hence equal to two. I simply have >> # no clue how R could solve this for me. As an addon, I would also like to >> know the number of individuals #that report X=0 during all periods plus >> have at least 3 weeks of observations. The answer would be one in #this >> sample datset. >> >> #Thank you >> >> >> >> -- >> View this message in context: http://r.789695.n4.nabble.com/ >> number-of-individuals-where-X-0-during-all-periods- >> longitudinal-data-tp4701023.html >> Sent from the R help mailing list archive at Nabble.com. >> >> ______________________________________________ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> 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 -- To UNSUBSCRIBE and more, see > 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 -- To UNSUBSCRIBE and more, see 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.