Sean Davis <[EMAIL PROTECTED]> writes:
> On Jan 11, 2005, at 7:55 AM, Dimitris Rizopoulos wrote:
>
> > mat <- rnorm(9); dim(mat) <- c(3,3)
> > mat
> > ###########
> > cbind(i=rep(1:nrow(mat), each=ncol(mat)),
> > j=rep(1:ncol(mat), nrow(mat)), value=c(t(mat)))
> >
> That will do it. Thanks!
Also, almost the same (you might want to change the column names and
the levels):
> as.data.frame(as.table(mat))
Var1 Var2 Freq
1 A A 1.30228891
2 B A 0.03432453
3 C A 0.84913086
4 D A -0.72574037
5 A B 0.57836049
6 B B -1.53737385
7 C B -0.73390887
8 D B 1.01061902
9 A C 0.27826502
10 B C -2.50497059
11 C C -0.57292384
12 D C 2.13511711
and
> cbind(i=c(row(mat)),j=c(col(mat)),value=c(mat))
i j value
[1,] 1 1 1.30228891
[2,] 2 1 0.03432453
[3,] 3 1 0.84913086
[4,] 4 1 -0.72574037
[5,] 1 2 0.57836049
[6,] 2 2 -1.53737385
[7,] 3 2 -0.73390887
[8,] 4 2 1.01061902
[9,] 1 3 0.27826502
[10,] 2 3 -2.50497059
[11,] 3 3 -0.57292384
[12,] 4 3 2.13511711
(In both cases you need a transpose or reordering if you want j to
vary the fastest.)
--
O__ ---- Peter Dalgaard Blegdamsvej 3
c/ /'_ --- Dept. of Biostatistics 2200 Cph. N
(*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918
~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907
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