Creates a random Multivariate Normal when given number of obs, mean, and sigma.

rmvnorm(n, mu, sigma)

Arguments

n

An int, which gives the number of observations. (> 0)

mu

A vector length m that represents the means of the normals.

sigma

A matrix with dimensions m x m that provides the covariance matrix.

Value

A matrix that is a Multivariate Normal distribution

Examples

# Call with the following data: rmvnorm(2, c(0,0), diag(2))
#> [,1] [,2] #> [1,] 1.556334 0.8287504 #> [2,] -1.672667 -1.0440574