Dear all,
I apologize if my question is quite simple.
I have a dataset (20 columns & 1000 rows) which
some of columns have the same value and the others
have different values.
Here are some piece of my dataset:
obj <- cbind(c(1,1,1,4,0,0,1,4,-1),
c(0,1,1,4,1,0,1,4,-1),
c(1,1,1,4,2,0,1,4,-1),
c(1,1,1,4,3,0,1,4,-1),
c(1,1,1,4,6,0,1,5,-1),
c(1,1,1,4,6,0,1,6,-1),
c(1,1,1,4,6,0,1,7,-1),
c(1,1,1,4,6,0,1,8,-1))
obj.tr <- t(obj)
obj.tr
> obj.tr
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
[1,] 1 1 1 4 0 0 1 4 -1
[2,] 0 1 1 4 1 0 1 4 -1
[3,] 1 1 1 4 2 0 1 4 -1
[4,] 1 1 1 4 3 0 1 4 -1
[5,] 1 1 1 4 6 0 1 5 -1
[6,] 1 1 1 4 6 0 1 6 -1
[7,] 1 1 1 4 6 0 1 7 -1
[8,] 1 1 1 4 6 0 1 8 -1
>
How can I do to check columns 2,3,4,6,7 and 9 have
the same value, and columns 1,5 and 8 have different values.
Best, Muhammad Subianto
______________________________________________
R-help@stat.math.ethz.ch 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.
