Hi Slightly better but still html scrambled.
see in line > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > project.org] On Behalf Of Frank S. > Sent: Tuesday, September 30, 2014 2:55 PM > To: r-help@r-project.org > Subject: [R] Loop does not work: Error in else statement (II) > > > > Hi to all members of R list, > > > > I m working with data.table package, and with 6 > variables: > > > > ID: Subject identifier > > born: Birthdate > > start: Starting date > > register: date of measurement > > value: Value of measurement > > end: date of expiration of the measurements. > > > > So, the natural order of date variables would be: born =< start =< > register =< end. As an example, I have: > > > > DT <- data.table(ID = > as.factor(rep(1:4,each=2)), > > born=as.Date(rep(c("1955-02-20","1990-07-25","1972-03-18", > "1988-05-03"),each=2)), > > start=as.Date(rep(c("1953-03-28","1990-07-01","1983-09-05","1988- > 07-18"),each=2)), > > register = as.Date(c("1955-08-11", "1958-03-28", "1990-07-09", > "1992-07-01", > > "1983-09-05", "2002-09-28", "1992-07-10", "1993-03- > 12")), > > value=c(205, 346, 34, 76, 320, 148, 209, 274), > > end=as.Date(rep(c("1960-11-05", > "1997-10-15", "2002-09-27", > "1997-03-02"),each=2))) > > > > I would want to make 3 operations: > > a) Remove > entire ID s where start is previous to born date (excepting those > subjects whose month and year values are the same in start and born > variables: I assign born date to start date in these cases). > DT$start-DT$born Time differences in days [1] -694 -694 -24 -24 4188 4188 76 76 suggests you can remove line 1 and 2 and check line 3 and 4 as.numeric(format(DT$start, "%Y.%m"))- as.numeric(format(DT$born, "%Y.%m")) [1] -1.99 -1.99 0.00 0.00 11.06 11.06 0.02 0.02 so only lines 1 and 2 shall be removed #first change born to start where appropriate cond1 <- which((as.numeric(format(DT$start, "%Y.%m"))- as.numeric(format(DT$born, "%Y.%m")))==0) DT$born[cond1] <- DT$start[cond1] #then select rows for which start is earlier than born cond2 <-((DT$start-DT$born)<0) #remove rows DT2<-DT[!cond2,] If there are rows which does not hold for some ID it is trickier. Hint DT$ID[cond2] > > b) Remove > only specific rows (not all ID) where register is previous to start #select rows which hold your condition cond3 <-((DT2$register-DT2$born)<0) #no items does not result as TRUE but #remove rows which are TRUE in cond3 DT2 <-DT2[!cond3,] > . > > c) Remove > only specific rows (not all ID) where end is previous to register . > the same principle applies here. You shall be able to do it yourself No if, no else no loop, no error. If there are NAs the solution would be slightly different but in principle similar. Regards Petr > > > DT[ , > > { > > > > if (all(born > start)) > > > { > > > indx <- which(paste(year(born))==paste(year(start)) & > paste(month(born))==paste(month(start))) > > > result <- > list(born=born[indx],start=born[indx],register=register[indx], > > value=value[indx], end=end[indx]) > > > } > > > if (all(register > start) | all(end > register)) > > { > > > indx <- which((register > > start) | (end > register)) > > > result <- > list(born=born[indx],start=start[indx], register=register[indx], > > value=value[indx], end=end[indx]) > > } > > else > > { > > > NULL > > > } > > else > > > { > > > indx <- which(all(register > start) | all(end > register)) > > > result <- list(born=born[indx], start=start[indx], > register=register[indx], > > value=value[indx], end=end[indx]) > > > } > > > result > > > }, by=ID] > > > > Error: unexpected 'else' in: > > " } > > else" > > > > > [[alternative HTML version deleted]] ________________________________ Tento e-mail a jakékoliv k němu připojené dokumenty jsou důvěrné a jsou určeny pouze jeho adresátům. 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