Hello Alfred,

I found the solution from S. Ellison
(https://stat.ethz.ch/pipermail/r-help/2010-May/238158.html) really inspiring.
Here I am using tail and the library 'plyr':

 set.seed(17*11)
 d<-data.frame(africa=sample(50, 10),
                europe= sample(50, 10),
                n.america= sample(50, 10),
                s.america= sample(50, 10),
                antarctica= sample((1:50)/20, 10)
                )

# using tail
t(apply(d, 1, function(x, n) tail(sort(x), n), n=3))

lapply(split(d, rownames(d)), function(x, n) sort(x)[n:ncol(x)], n=3)

# with plyr from Hadley Wickham
library(plyr)
ldply(split(d, rownames(d)), function(x, n) sort(x)[n : ncol(x)], n=3)

HTH
Patrick

Am 07.05.2010 15:43, schrieb Alfred Schulze:

    Hello,

    i have a dataframe with the GDP for different Country (in the columns) and
    Years (in the rows).

    Now i want for every year the best three values, if possible with name of
    the countries (columnnames).

    For the best it's no problem but for the other two values.

    Thanks,

    Alfred
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