In R I have two matrices X and Z and I would like a matrix W such that the row (i) of W contains row (i) of X interacted with row (i) of Z.
W(i) = X(i1)Z(i1) ... X(iJ)Z(i1) ... X(i1)Z(iK) ... X(iJ)Z(iK)
Here is an example in small scale doing what I want:
set.seed(1)
n <- 3
K <- 2
J <- 3
X <- matrix(rnorm(J*n),ncol=J)
Z <- matrix(rnorm(K*n),ncol=K)
W <- matrix(NA,nrow=n,ncol=K*J)
for (i in 1:n)
{
for (k in 1:K)
{
for (j in 1:J)
{
W[i,j + J*(k-1)] <- X[i,j] * Z[i,k]
}
}
}
Is there a clever way to do that?
I ended up doing
X[,sort(rep(1:J,K))] * Z[,rep(1:K,J)]