Hi you can use
apply(outer(( (1:10)[1:10%in%x]), x, "=="), 1, which) to get list of duplicates. But then you will need to specify which duplicates you want to discard which can be problematic. HTH Petr On 30 Oct 2006 at 11:11, Sřren Merser wrote: From: Sřren Merser <[EMAIL PROTECTED]> To: "R - help" <[email protected]> Date sent: Mon, 30 Oct 2006 11:11:01 +0100 Subject: [R] which duplicated rows to delete > Hi > Say I've this vector with several duplicates > >x<-c(1,2,3,4,2,6,2,8,2,3) > > >which(duplicated(x)) > [1] 5 7 9 10 11 > > But what I realy want is somthing like: > List({2,5,7}, {3,10}, ...) > > Then from each sublist I can specify which of the duplicate items to > drop > > res<-NULL > for(vec in myDuplicateList) > res<-rbind(res, subset(data[vec,], myCrit)) > > I'll get some of the way by sorting my original data appropriately, as > it's the second and following rows that are 'marked' as duplicates, > but that's not quite enough > > Hope for some hints > Kind regards Sřren > > ______________________________________________ > [email protected] 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. Petr Pikal [EMAIL PROTECTED] ______________________________________________ [email protected] 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.
