how to "singlify" entries

Hallo

hi netters

I have a rather simple question.  I have a data frame with two
Well, I do not understand you simple question fully. You have 
something like that

dat<-data.frame(X=1:100, Y=sample(1:10,10))
dat$X<-factor(dat$X)
dat$Y<-factor(dat$Y)
dat$Y[5]<-10
variables X and Y, both of which are factors. X has 100 levels while Y
has 10 levels only. The data frame has 100 rows in all, so for X the
values are unique, and Y has many replicate values.  Now I wanna
reduce the data frame into 10 rows only, according to the 10 levels of
Y.  I don't care which value of X is in the same row with Y in the
final data frame, as long as it is in agreement with the original data
frame.
Do you want to choose only some rows from your data frame to 
get unique Y and any corresponding X?

dat[!duplicated(dat$Y),]

Or do you want something different?

HTH
Petr
I think this task can be carried out with some function like
aggregate. but I failed in figuring it out. Could anybody give me a
hint?

Thanks a lot!

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Petr Pikal
petr.pikal at precheza.cz

how to "singlify" entries

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