Dear list,
Suppose I have the following matrix:
> M <-
matrix(c("1","2","3","2","4","5","5","3","2","1","3","2","4","4"), ncol=2)
> M
[,1] [,2]
[1,] "1" "3"
[2,] "2" "2"
[3,] "3" "1"
[4,] "2" "3"
[5,] "4" "2"
[6,] "5" "4"
[7,] "5" "4"
In this matrix, row 1 contains elements "1" and "3" and row 3 does the
same. Similarly, rows 6 and 7 contain the same elements. I am looking
for a way to efficiently identify these rows. I cannot use
duplicated(M), since the order of the names in the rows does not matter,
all that matters is that *all* names in a row also *all* appear in
another row.
How can I identify such "duplicated" rows, without going through a
process of looping and shifting elements around?
thanks, Peter
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
