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×××××¥ <[email protected]>
>
> 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
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