--- Muhammad Subianto <[EMAIL PROTECTED]> wrote: > 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 There has to be a better way but this will let you check visually since you only have 20 columns
for(i in 1:8) { tt <-table(obj.tr[,i]) print( i) print (tt) } ______________________________________________ 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.