Would this work for you? if you want to know where the i-th element falls percentage-wise in the distribution of a vector:
sum(x <= x[i])/length(x) This could be turned into a function: pEmpirical <- function(i,x) { if (length(i) > 1) return(apply(as.matrix(i), 1, pEmpirical,x)) r = sum(x <= x[i])/length(x) return(r) } Michael Weylandt 2011/8/2 ר×××× ××ר×××××¥ <gantk...@walla.com> > > I'm familiar with the quantile() command, but what if I have a specific > number that I want to know its location in a vector? I know that in known > distributions, (for example the normal distribution), there is pnorm and > qnorm, but how can I do it with unknown vector? > > > thanks in advance > _________________________________________________________________ > > Walla! Mail - [1]Get your free unlimited mail today > > References > > 1. http://www.walla.co.il/ > > ______________________________________________ > 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.