The script below provides a trivial example of filling a large matrix
with values from a small one with corresponding row and column details.
this is fine for a small example but too slow for many large examples (
my small matrices are 65x65 and my large matrices up to 900x900, and I
have many permutations to fill.
is there a more efficient way to achieve this
M<-as.matrix(as.dist(matrix(x,nrow=4,ncol=4,dimnames=list(c("A","B","C","D"),c("A","B","C","D")))))
N<-matrix(NA,nrow=8,ncol=8,dimnames=list(c("A","B","C","D","A","B","C","D"),c("A","B","C","D","A","B","C","D")))
for (r in 1:nrow(N)){
for (c in 1:(ncol(N))){
N[r,c]=M[rownames(N)[r],colnames(N)[c]]
}
}
thanks
Nevil Amos
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