Angular Gaussian random values simulation | R Documentation |

Angular Gaussian random values simulation.

```
riag(n, mu)
```

`n` |
The sample size, a numerical value. |

`mu` |
The mean vector in |

The algorithm uses univariate normal random values and with some mean. The vectors are then scaled to have unit length.

A matrix with the simulated data.

Michail Tsagris.

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.

Mardia, K. V. and Jupp, P. E. (2000). Directional statistics. Chicester: John Wiley & Sons.

Paine P.J., Preston S.P., Tsagris M and Wood A.T.A. (2018). An Elliptically Symmetric Angular Gaussian Distribution. Statistics and Computing, 28(3):689–697.

```
colspml.mle, circ.cor1, circ.cors1
```

```
x <- riag(20, rnorm(4, 3, 1))
```

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