Description Usage Arguments Value Examples

`resamplingLocalI`

Permute n-1 times the values of the variable of interest to calculate a Null distribution for I. It is done n-1, because one order is the original one, to make sure it is included.

1 | ```
resamplingLocalI(varOfInterest, distM, n = 1000, scaling = TRUE)
``` |

`varOfInterest` |
the variable name or position of the variable we are interested to calculate the spatial autocorrelation. |

`distM` |
the distance matrix. Although the equation requires a weighted distant matrix, the only parameter that will be needed is the distance matrix. This procedure is able to calculate the weighted distance matrix by itself. |

`n` |
number of permutations. |

`scaling` |
The default value is TRUE. However, if the values are previously scaled, this parameter must be set to FALSE.. |

A vector with the n calculated Local Moran's I.

1 2 3 4 | ```
inputFileName<-system.file("testdata", "chen.csv", package="Irescale")
input<-loadFile(inputFileName)
distM<-calculateEuclideanDistance(input$data)
vI<-resamplingLocalI(input$varOfInterest,distM,n=100)
``` |

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