Description Usage Arguments Value Author(s) References See Also Examples

A permutation test for Lee's L statistic calculated by using nsim random permutations of x and y for the given spatial weighting scheme, to establish the rank of the observed statistic in relation to the nsim simulated values.

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`x` |
a numeric vector the same length as the neighbours list in listw |

`y` |
a numeric vector the same length as the neighbours list in listw |

`listw` |
a |

`nsim` |
number of permutations |

`zero.policy` |
default NULL, use global option value; if TRUE assign zero to the lagged value of zones without neighbours, if FALSE assign NA |

`alternative` |
a character string specifying the alternative hypothesis, must be one of "greater" (default), or "less". |

`na.action` |
a function (default |

`spChk` |
should the data vector names be checked against the spatial objects for identity integrity, TRUE, or FALSE, default NULL to use |

`return_boot` |
return an object of class |

A list with class `htest`

and `mc.sim`

containing the following components:

`statistic` |
the value of the observed Lee's L. |

`parameter` |
the rank of the observed Lee's L. |

`p.value` |
the pseudo p-value of the test. |

`alternative` |
a character string describing the alternative hypothesis. |

`method` |
a character string giving the method used. |

`data.name` |
a character string giving the name(s) of the data, and the number of simulations. |

`res` |
nsim simulated values of statistic, final value is observed statistic |

Roger Bivand, Virgilio GÃ³mez-Rubio Virgilio.Gomez@uclm.es

Lee (2001). Developing a bivariate spatial association measure: An integration of Pearson's r and Moran's I. J Geograph Syst 3: 369-385

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