i) Your code creates w2 but references w1 to create aa.

So you needed 
aa <- matrix(rep(c(0.4, 0.1, 0.2), 3), 3,3)
for a working example.

ii) This
> matrix(as.numeric(aa)[!as.numeric(aa) %in% diag(aa)],2,3)
removes any value that is present in the diagonal of aa. Look up ?"%in%" to see 
what that does; it returns TRUE whenever anything in as.numeric(aa) matches 
anything in your diagonal. All the values in aa match one of c(0.4, 0.1, 0.2). 
So since your whole matrix consists of these three numbers, you told R to leave 
out everything in aa and then create a 2x3 matrix with the result. Hence the NAs

iii) If you want to extract odd parts of a matrix explicitly, see ?"[" and 
particularly the section on indexing using arrays

iv) You can use logical indexing. In the special case of the diagonal, you can 
use diag() to create a matrix of logicals, logically negate that and apply that 
to your matrix:
aa[ !diag(rep(TRUE, 3)) ]

and, in twoi rows:
matrix( aa[ !diag(rep(TRUE, 3)) ], 2,3)

> for examplei have this matrix
> w2<-c(0.1,0.2,0.4,0.2,0.4,0.1)
> aa<-matrix(w1,nrow=3,ncol=3)
> aa
>      [,1] [,2] [,3]
> [1,]  0.4  0.4  0.4
> [2,]  0.1  0.1  0.1
> [3,]  0.2  0.2  0.2
> 
> if i use this code
> matrix(as.numeric(aa)[!as.numeric(aa) %in% diag(aa)],2,3)
> 
> i will obtaine this matrix[,1] [,2] [,3]
> [1,]   NA   NA   NA
> [2,]   NA   NA   NA
> 
> but me i want this matrix[,1] [,2] [,3]
> [1,]  0.1  0.4  0.4
> [2,]  0.2  0.2  0.1
> 
> thank you
> 
>       [[alternative HTML version deleted]]
> 
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