I'm trying to code more R-like and avoid loops. Here is an example I'm having
a hard time getting away from loops with, and the real matrices are rather
large, and the computation is too time-consuming.
### Dimensions
N <- 2
M <- 3
P <- 4
### Array and Matrices
nu <- array(NA,dim=c(N,M,P))
Lambda <- matrix(1:12,P,M)
F <- matrix(1:8,N,P)
### Loop to avoid
for (i in 1:N) {for (m in 1:M) {for (p in 1:P) {
nu[i,m,p] <- Lambda[p,m] * F[i,p]
}}}
Any help is appreciated. Thanks.
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