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Just a note
Notice that a pvalue calculated as the corrected relative rank of a sample is slightly different from the pvalue as defined in the theoretical parts of statistics textbooks.
But, when n is finite, and p=r/n, then p can be anywhere from 1/n to 1. So Therefore for the inverse cumulative distribution, you should plot q on y, where q=(nr+1)/n, where q is the proportion of y whose rank equals or exceeds the rank of each observed y. The following code produces much the same sort of result using R.
