Multivariate normal random numbers
Interface functions to use rmvnorm for
hyperSpec-class objects.
rmmvnorm(n, mean, sigma) ## S4 method for signature 'numeric,hyperSpec,matrix' rmmvnorm(n, mean, sigma) ## S4 method for signature 'numeric,hyperSpec,array' rmmvnorm(n, mean, sigma) ## S4 method for signature 'numeric,matrix,matrix' rmmvnorm(n, mean, sigma) ## S4 method for signature 'numeric,matrix,array' rmmvnorm(n, mean, sigma)
n |
vector giving the numer of cases to generate for each group |
mean |
matrix with mean cases in rows |
sigma |
common covariance matrix or array ( |
The mvtnorm method for hyperSpec objects supports producing multivariate normal data for
groups with different mean but common covariance matrix, see the examples.
cov and pooled.cov about calculating covariance of hyperSpec objects.
## multiple groups, common covariance matrix
if (require ("mvtnorm")){
pcov <- pooled.cov (chondro, chondro$clusters)
rnd <- rmmvnorm (rep (10, 3), mean = pcov$mean, sigma = pcov$COV)
plot (rnd, col = rnd$.group)
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