[R] Transform data to uniform variates

From: Aloui Riadh <riadh_aloui_at_hotmail.com>
Date: Wed, 18 Jun 2008 08:37:05 -0700 (PDT)

To estimate Copula using canonical maximum likelihood method we need first tranforming data to uniform variates. I found this code written by Jun Yan: cbind((rank(dat[, 1]) - 0.5)/n, (rank(dat[, 2]) - 0.5)/n)

where dat represent the considered data.

Why do not use this formula rank(dat)/(n+1) is it the same?

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