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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