| rmvnorm | R Documentation |
Random generation function from the multivariate Normal distribution with mean equal to mean and covariance matrix sigma.
rmvnorm(n = 10, mean = rep(0, length = ncol(sigma)),
sigma = diag(length(mean)))
n |
Number of observations. |
mean |
Mean vector, default is |
sigma |
positive definite covariance matrix, default is |
A numeric matrix with rows equal to n and columns equal to length(mean).
Reza Mohammadi a.mohammadi@uva.nl
bdgraph.sim, rwish, rgwish
mean <- c(5, 20)
sigma <- matrix(c(4, 2,
2, 5), 2, 2) # covariance matrix
sample <- rmvnorm(n = 500, mean = mean, sigma = sigma)
plot(sample)
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