hello, It's also possible to use the quantile function :
vec0 <- c(0.1,0.2, 0.5, 0.1,0.8, 0.4, 0.9) which(vec0 >= quantile(vec0, 0.7, type = 1)) SD 2014-03-29 18:02 GMT+01:00 arun <smartpink...@yahoo.com>: > Hi, > Try: > vec1 <- setNames(c(0.1,0.2, 0.5, 0.1,0.8, 0.4, 0.9), 1:7) > vec2 <- sort(vec1,decreasing=TRUE) > > names(vec2[seq(ceiling(length(vec2)*0.3))]) > #[1] "7" "5" "3" > A.K. > > Hi, I need your help again. I have some data like this: > 1 2 3 4 5 6 7 ... > 0.1 0.2 0.5 0.1 0.8 0.4 0.9 ... I need to select the 30% > higgest values,but in the ouitput I need the index (position where is the > maximum values). In that case the output will be 7,5,3,... for example. > Thank you > > > ______________________________________________ > 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. > [[alternative HTML version deleted]] ______________________________________________ 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.
