Try this:


df$group <- factor(df$group)
levels(df$group)<- names(sort(tapply(df$weight, df$group, sum),
decreasing=T))


On 28/11/2007, Serguei Kaniovski <Serguei.Kaniovski@wifo.ac.at> wrote:
>
>
> Dear All,
>
> Suppose I have the following dataframe:
>
> country;weight;group
> bul;10;1
> cze;12;1
> grc;12;1
> hun;12;1
> prt;12;1
> rom14;1
> fra;29;2
> ita;29;2
> gbr;29;2
> aut;10;3
> bel;12;3
>
> The "group" variable denotes the id-number of a group of countries. How
> can
> I re-label the groups in the descending order of their cumulative
> "weight",
> which wound be:
>
> country;weight;group
> fra;29;1
> ita;29;1
> gbr;29;1
> bul;10;2
> cze;12;2
> grc;12;2
> hun;12;2
> prt;12;2
> rom14;2
> aut;10;3
> bel;12;3
>
> The first group has the largest sum of weights, the second, with the
> second
> largest, and so on.
>
> Thanks for your help,
> Serguei Kaniovski
>
> ________________________________________
> Austrian Institute of Economic Research (WIFO)
>
> P.O.Box 91                          Tel.: +43-1-7982601-231
> 1103 Vienna, Austria        Fax: +43-1-7989386
>
> Mail: Serguei.Kaniovski@wifo.ac.at
> http://www.wifo.ac.at/Serguei.Kaniovski
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>
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> and provide commented, minimal, self-contained, reproducible code.
>



-- 
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O

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