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 ראובן אברמוביץ <gantkant@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
>     _________________________________________________________________
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> References
>
>   1. http://www.walla.co.il/
>
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