Hallo On 7 Jun 2004 at 12:18, Nicolas STRANSKY wrote:
> Hi, > > I have a set of data like the following: > [,1] [,2] > [1,] 10 2 > [2,] 7 0 > [3,] 1 0 > [4,] 1 0 > [5,] 15 0 > [6,] 17 4 > [7,] 4 0 > [8,] 19 8 > [9,] 10 2 > [10,] 19 5 Maybe it can be done more elegantly but table and match can probably do what you want. > tab V2 V3 1 10 2 2 7 0 3 1 0 4 1 0 5 15 0 6 17 4 7 4 0 8 19 8 9 10 2 10 19 5 > counts<-table(tab[,1]) > count.no<-as.numeric(names(counts)) > selection<-match(tab[,1],count.no) > cbind(tab,no=as.numeric(counts[selection])) V2 V3 no 1 10 2 2 2 7 0 1 3 1 0 2 4 1 0 2 5 15 0 1 6 17 4 1 7 4 0 1 8 19 8 2 9 10 2 2 10 19 5 2 > Is this what you want? Cheers Petr > > I'd like to aggregate it in order to obtain the frequency (the number > of occurences) for each couple of values (e.g.: (10,2) appears twice, > (7,0) appears once). Something cool would be to have this value in a > third column... I've been looking at aggregate() but either I couldn't > get the right parameters, or this is not the right tool to use... > > Thank's for any help ! > > -- > Nicolas STRANSKY > Équipe Oncologie Moléculaire > Institut Curie - UMR 144 - CNRS Tel : +33 1 42 34 63 > 40 26, rue d'Ulm - 75248 Paris Cedex 5 - FRANCE Fax : +33 1 42 34 > 63 49 > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html Petr Pikal [EMAIL PROTECTED] ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
