Hi Michael, It is not clear how you read the dataset.? It looks like a dataframe. df1<- read.table(text=' "","x" "A1",2 "A2",5 "A3",4 "A4",6 "A5",24 "A6",7 "A7",12 "A8",3 "A9",5 ',sep=",",header=TRUE,row.names=1) ?vec1<-unlist(df1) ?names(vec1)<- row.names(df1) ?names(vec1)[vec1%in% 3:5] #[1] "A2" "A3" "A8" "A9" ?names(vec1)[!is.na(match(vec1,3:5))] #[1] "A2" "A3" "A8" "A9" names(vec1)[vec1>=3 & vec1<=5] #[1] "A2" "A3" "A8" "A9" A.K. ________________________________ From: michael steele <real.steele500 at gmail.com> To: smartpink111 at yahoo.com Sent: Tuesday, July 23, 2013 11:30 AM Subject: Re: Selecting names with regard to visit frequency Hi A.K., Sorry for the confusion. The first option worked. I can't give out the actual data. But I can give something similar to its structure. Output from write.csv(myvector,file="copy") is attached.? A1, A2... represent unique identification codes for individuals. Basically, we are interested in finding individuals who have visited within a certain range. It was easy enough to find those that visited the most and the least, but not somewhere in the middle. Your first option worked and I had tried something similar (I don't remember exactly what) but I must have missed something simple. Thanks steele From:??<smartpink111 at yahoo.com>>Date: Mon, Jul 22, 2013 at 11:05 PM >Subject: Re: Selecting names with regard to visit frequency > > > >HI Steele, >Could you provide a reproducible example for Options 2 and 3 that returns character(0)? Better would be use ?dput(). ?Not sure I understand you correctly. ?Did you meant that none of the options worked or except option 1? ?Also, comment regarding the practicality is also not clear. >Tx. ><quote author='m.steele'> >Thanks A.K., I actually tried something similar to option 1, but I missed >something simple it seems. Options 2 and 3 do not work; they return: >character(0) >It may make a difference that myvector already exists, it displays in the >form I provided. Recreating that vector in your solution may not be >practical in this way as there are pushing towards 1000 names with >corresponding visits. > >Thanks again this has been very helpful and I look forward to learning more. >steele ></quote> >Quoted from: >http://r.789695.n4.nabble.com/Selecting-names-with-regard-to-visit-frequency-tp4672074p4672087.html > > >_____________________________________ >Sent from http://r.789695.n4.nabble.com > > >