I want to generate multiple multivariate normal samples with different
mean vectors
and common covariance matrix.
I can do this with a loop, but can't quite figure out how to do it with
apply and friends.
In the example below, I want values to have 3 columns: group, x, y
# number of groups,
Hi:
Does this work?
v - lapply(1:nrow(means), function(j) mvrnorm(n, means[j, ], Sigma,
empirical = TRUE))
vals - cbind(group = rep(1:nrow(means), each = n), do.call(rbind, v))
HTH,
Dennis
On Sat, May 7, 2011 at 3:34 PM, Michael Friendly frien...@yorku.ca wrote:
I want to generate multiple
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