[R] Counting number of common elements between the rows of two different matrices
jim holtman
jholtman at gmail.com
Fri Nov 4 14:37:50 CET 2011
Try this:
# create dummy data
a <- matrix(sample(20, 50, TRUE), ncol = 5)
b <- matrix(sample(20, 50, TRUE), ncol = 5)
# create combinations to test
x <- expand.grid(seq(nrow(a)), seq(nrow(b)))
# test
result <- mapply(function(m1, m2) any(a[m1, ] %in% b[m2, ])
, x[, 1]
, x[, 2]
)
# create the output matrix
result.m <- matrix(result, nrow = nrow(a), ncol = nrow(b))
On Fri, Nov 4, 2011 at 8:51 AM, Parodi, Pietro <Pietro.Parodi at willis.com> wrote:
>
> Hello
>
> I'm trying to solve this problem without using a for loop but I have so
> far failed to find a solution.
>
> I have two matrices of K columns each, e.g. (K=5), and with numbers of
> row N_A and N_B respectively
>
> A = (1 5 3 8 15;
> 2 7 20 11 13;
> 12 19 20 21 43)
>
> B = (2 6 30 8 16;
> 3 8 19 11 13)
>
> (the actual matrices have hundreds of thousands of entry, that's why I'm
> keen to avoid "for" loops)
>
> And what I need to do is to apply a function which counts the number of
> common elements between ANY row of A and ANY row of B, giving a result
> like this:
>
>
> A1 vs B1: 1 # (8 is a common element)
> A1 vs B2: 1 # (8 is a common element)
> A2 vs B1: 1 # (2 is a common element)
> A2 vs B2: 1 # 11, 13 are common elements
> Etc.
>
> I've built a function that counts the number of common elements between
> two vectors, based on the intersect function in the R manual
>
> common_elements <- function(x,y) length(y[match(x,y,nomatch=0)])
>
> And a double loop who solves my problem would be something like
> (pseudo-code)
>
> For(i in 1:N_A){
> for(j in 1:N_B){
> ce(i,j)=common_elements(a(i),b(j))
> }
> }
>
> Is there an efficient, clean way to do the same job and give as an
> output a matrix N_A x N_B such as that above?
>
> Thanks a lot for your help
>
> Regards
>
> Pietro
>
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--
Jim Holtman
Data Munger Guru
What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.
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