Hi, Try this: dat1<- read.csv("dat7.csv",header=TRUE,stringsAsFactors=FALSE,sep="\t") dat.bru<- dat1[!is.na(dat1$evnmt_brutal),]
fun1<- function(dat){ lst1<- split(dat,dat$patient_id) lst2<- lapply(lst1,function(x) x[cumsum(x$evnmt_brutal==0)>0,]) lst3<- lapply(lst2,function(x) x[!(all(x$evnmt_brutal==1)|all(x$evnmt_brutal==0)),]) lst4<-lapply(lst3,function(x) {vect.brutal=c() for(line in which(x$evnmt_brutal==1)){ if(x$evnmt_brutal[line-1]==0){ vect.brutal=c(vect.brutal,line) } } vect.brutal1<- sort(c(vect.brutal,vect.brutal-1)) x[vect.brutal1,] } ) res<- do.call(rbind,lst4) row.names(res)<- 1:nrow(res) res } fun1(dat.bru)head(fun1(dat.bru),10) # X patient_id number responsed_at t basdai_d evnmt_brutal #1 14 2 13 2011-08-07 13 0.900 0 #2 15 2 14 2011-09-11 14 -0.800 1 #3 22 3 2 2010-06-29 1 -0.800 0 #4 23 3 3 2010-08-05 2 0.000 1 #5 24 3 4 2010-09-05 3 1.200 0 #6 25 3 5 2010-10-13 4 1.925 1 #7 26 3 6 2010-11-15 5 -2.525 0 #8 27 3 7 2010-12-18 6 -0.200 1 #9 53 5 9 2011-02-13 8 0.000 0 #10 54 5 10 2011-03-19 9 -1.200 1 A.K. _______________________________ From: GUANGUAN LUO <guanguan...@gmail.com> To: arun <smartpink...@yahoo.com> Sent: Monday, May 27, 2013 8:48 AM Subject: choose the lines Hello, Arun, in this data, i want to choose every line with the variable " evnmt_brutal"==1 & the precedent line( line-1) with "evnmt_brutal"==0, i had done this, res.bru <- dat7[!is.na(dat7$evnmt_brutal),] vect.brutal=c() for(line in which(res.bru$evnmt_brutal==1)){ if(res.r$evnmt_brutal[line-1]==0){ vect.brutal=c(vect.brutal,line)} } vect.brutal but now i think it's not correct. Because if there are the situations just like this Patient_id evnmt_brutal 1 ... 1 ... 1 0 2 1 2 ... 2 ... I would have chosen the lines of two different patients, so that is not correct. Do you know how can i change a little and get the correct lines just for each patient? Thank you so much. GG ______________________________________________ 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.