On Oct 19, 2010, at 4:24 PM, Peter Francis wrote:
> Dear List,
>
> I am unsure if this is specifically a R question or a stats
> question? I thought i would ask here and if i get no replies it will
> answer that!
>
> I am trying to calculate Gini coefficients in R, based on a slight
> modification of the typical equation that i have seen in a paper.
>
> <PastedGraphic-2.pdf>
I think you should recheck your source document. That looks wrong. You
might try comparing to the Wikipedia page.
You can also get quite a bit of useful information by searching. Here
is a pre-packaged search strategy at Baron's r-help page (with non-
standard target settings):
http://search.r-project.org/cgi-bin/namazu.cgi?query=gini+coefficient&max=100&result=normal&sort=score&idxname=functions&idxname=Rhelp08&idxname=Rhelp10&idxname=Rhelp02
--
David.
>
>
>
> where X is the cumulated proportion of Cars and Y is the cumulated
> proportion of People. The value k indexes from the first to the next
> to last (n-1).
>
> So i have a rough idea of how to implement this in R however i am
> unsure how the data should be sorted. Typically when i have
> calculated Gini coefficients in the past i have sorted "X" into
> ascending order then calculated the cumulative proportion from this.
> However if i have two factors X + Y i am unsure how to sort the
> data? I.E do i sort x and expand the section and also sort y based
> on the sorting of X, or do i sort X calculate the coefficient then
> sort Y and calculate coefficient and add them together?
>
> Once again i am sorry if this is completely the wrong place to ask
> such a question.
>
> Peter
>
David Winsemius, MD
West Hartford, CT