A log-likelihood ratio test for testing whether the sample mena direction is equal to some predefined one.

1 | ```
meandir.test(x, mu, B = 999)
``` |

`x` |
A matrix with the data, unit vectors. |

`mu` |
A unit vector with the hypothesized mean direction. |

`B` |
A number either 1, so no bootstrap calibration is performed or more than 1, so bootstrap calibration is performed. |

The log-likelihood ratio test is performed.

A list including:

`mean.dir` |
The sample mean direction |

`pvalue` |
The p-value of the test. |

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@yahoo.gr> and Giorgos Athineou <athineou@csd.uoc.gr>

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

1 2 3 4 5 | ```
mu <- rnorm(5)
mu <- mu / sqrt( sum(mu^2) )
x <- rvmf(100, mu, 10)
meandir.test(x, mu, 1)
meandir.test(x, mu, 499)
``` |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.