Thank you a lot Peter, Stefan and Pascal, for your quick an inspiring answers.
ecdf(distribution)(value)->percentile was exactly, what I was looking for, as it is in my eyes somehow the equivalent to quantile(distribution, percentile)->value, isn't it. Greetings from sunny Munich, Felix Am 03.03.12 14:33, schrieb peter dalgaard: > > On Mar 3, 2012, at 13:37 , drflxms wrote: > >> Dear all, >> >> I am familiar with obtaining the value corresponding to a chosen >> probability via the quantile function. >> Now I am facing the opposite problem I have a value an want to know it's >> corresponding percentile in the distribution. So is there a function for >> this as well? > > For a single value, mean(x <= a) will do. Otherwise check ecdf(). > >> x <- rnorm(100) >> mean(x <= 2) > [1] 0.97 >> ecdf(x)(2) > [1] 0.97 >> ecdf(x)(-3:3) > [1] 0.00 0.01 0.14 0.48 0.80 0.97 1.00 > > if you need values for your original data points, rank(x)/length(x) should do > (bar missing value issues). > >> >> Thank you for your support in advance, Felix >> >> ______________________________________________ >> 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. > ______________________________________________ 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.
