# calculateMoranI: Calculates the Moran's I using the algorithm proposed by Chen... In Irescale: Calculate and Rectify Moran's I

## Description

calculateMoranI Moran's I computing method.

I = varOfInterest^t \times weightedM \times varOfInterest

## Usage

 1 calculateMoranI(distM, varOfInterest, scaling = TRUE) 

## Arguments

 distM the distance matrix. Altough the equation asks for weighted distant matrix, the paramenter that is required is only the distance matrix because this procedure calculate calculates the weighted distance mantrix by itself. varOfInterest the variable of interest to calculate Moran's I. scaling if the values are previously scaled, set this parameter to False. The default value is TRUE.

Moran's I

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## Examples

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

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