[R] compare vector with selected element from a matrix

[William Dunlap]

Try using a 2-column matrix, with columns formed from C and D, to subscript A.  E.g.,

   > A <- matrix(101:132, nrow=8, ncol=4)
   > C <- seq_len(nrow(A))^2 %% nrow(A) + 1
   > D <- seq_len(nrow(A))^3 %% ncol(A) + 1
   > for(j in seq_len(nrow(A))) print(A[C[j], D[j]])
   [1] 110
   [1] 105
   [1] 126
   [1] 101
   [1] 110
   [1] 105
   [1] 126
   [1] 101
   > A[cbind(C, D)]
   [1] 110 105 126 101 110 105 126 101 

Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com


> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf
> Of Ran Gu
> Sent: Friday, May 10, 2013 12:39 AM
> To: r-help at r-project.org
> Subject: [R] compare vector with selected element from a matrix
> 
> Dear all,
> 
> I want to compare a huge vector with selected element from a matrix.
> 
> A is a matrix and B is a vector. I want to compare each element of B with
> selected element from A. C and D are selection criteria. They are vectors
> of same length as B. C specifies the row number of A, and D specifies the
> column number. A is of dimension 10*100, and B,C,D are all vectors of
> length 72000. Code with for loop:
> 
>    for ( j in 1:length(B) ){
>       E[j] <- B[j] >= A[ C[j], D[j] ]
>     }
> 
> This is too slow. I vectorize this by define a vector including elements
> from A first:
> 
>     A1 <- array(0, length(B))
>     A2 <- A[,D]
>     for ( j in 1:length(B) ){
>       A1[j] <- A2[ C[j], j ]
>     }
>     E <- B >= A1
> 
> This is still too slow. Is there a better way to this?
> 
> 
> --
> Kind regards,
> Ran
> 
> 	[[alternative HTML version deleted]]
> 
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