Description Usage Arguments See Also Examples

This function performs a null hypothesis significance test, for a given dataset and outputs a p-value as well as all the information needed for plotting.

1 2 |

`data` |
Data frame including latitude, azimuth and horizon altitude of sites, created
using |

`type` |
(Optional) Type of data visualizarion you want to conduct the test on. Current
options are 'curv' for |

`ncores` |
(Optional) Number of processing cores to use for parallelisation. Defaults to the number of available cores minus 1. |

`nsims` |
(Optional) Number of simulations to run. The higher this number the slower this process will be, but the lower it is the less power the method has. Defaults to 2000 as a base minimum to test for significance at the p=0.0005 level, but the recommended value is 10,000. |

`conf` |
(Optional) Confidence level for p-value calculation and output. Defaults to 0.95, i.e. a 95% confidence envelope. |

`prec` |
(Optional) Smallest possible azimuth for the random sampler, i.e. precision being considered. Defaults to 0.01º. |

`range` |
(Optional) Range of declination values to consider. |

`verbose` |
(Optional) Boolean to decide whether or not |

`...` |
Other parameters to be passed on to |

`reduct.compass`

, `reduct.theodolite`

1 2 3 4 5 6 7 8 9 10 |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.