Description Usage Arguments Value See Also Examples

Random generation for the multivariate normal (also called Gaussian) distribution.

1 |

`n` |
sample size – number of random vectors of length d to return (as rows in a matrix). |

`cov` |
covariance or correlation matrix with d rows and columns. |

`d` |
dimension of the multivariate normal. |

`mean` |
vector of length d, or matrix with n rows and d columns. |

`rho` |
scalar, vector, or bdVector of length n, containing correlations for bivariate data. This is ignored if cov is supplied. |

`sd` |
vector of length d, or matrix with n rows and d columns, containing standard deviations. If supplied, the rows and columns of cov are multiplied by sd. In particular, if cov is a correlation matrix and sd is a vector of standard deviations, the result is a covariance matrix. If sd is a matrix then one row is used for each observation. |

random sample ( rmvnorm) for the multivariate normal distribution.

1 2 3 4 5 6 7 8 9 10 11 |

```
[,1] [,2]
[1,] 1.3861034 0.3364890
[2,] 1.2502044 -0.5277405
[3,] -0.2697167 0.2074887
[4,] -1.0157893 0.2254733
[5,] 1.9201236 1.3153500
[,1] [,2] [,3]
[1,] 8.934760 0.7432428 1.9202167
[2,] 8.737505 3.2633650 1.2534644
[3,] 11.342857 3.8251114 -2.5012796
[4,] 8.814599 3.2251518 0.7740151
[5,] 8.305913 1.3960000 0.6085833
[,1] [,2]
[1,] 1.3926143 1.0978886
[2,] -2.4311053 -2.1168523
[3,] 0.2731813 0.3657502
[4,] -0.1139043 -0.1088794
[5,] -0.6964237 -0.6535508
[,1] [,2]
[1,] 9.915539 2.773005
[2,] 11.187863 2.184646
[3,] 8.763142 5.338998
[4,] 7.292369 2.359028
[5,] 7.880654 4.348776
```

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