Description Usage Arguments Value Examples

`resamplingI`

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

`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. |

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

`n` |
number of permutations. The default value is 1000 |

`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 Moran's I.

1 2 3 4 5 | ```
inputFileName<-system.file("testdata", "chen.csv", package="Irescale")
input<-loadFile(inputFileName)
distM<-calculateEuclideanDistance(input$data)
I<-calculateMoranI(distM = distM,varOfInterest = input$varOfInterest)
vI<-resamplingI(distM, input$varOfInterest)
``` |

Irescale documentation built on Nov. 22, 2019, 1:07 a.m.

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