iCorrection: Scaling process for Moran's I.

In Irescale: Calculate and Rectify Moran's I

Description

iCorrection . consists in centering the I value (I-median) and scaling by the difference between the median and 1st or 99th quantile. The correction is according to the following equation:

I = ≤ft\{ \begin{array}{lr} \frac{(I-median)}{(median - Q1)}& I < median\\ \frac{(I-median)}{(Q99-median)}& I>median\\ \end{array}\right\}

Usage

iCorrection(I, vI, statsVI, scalingUpTo = "Quantile", sd = 1)

Arguments

I	Moran's I, It could be computed using calculateMoranI function.
vI	the vector obtained by resamplingI.
statsVI	the statistic vector obtained from summaryVector.
scalingUpTo	the rescaling could be done up to the 0.01% and 99.9% quantile or max and min values. The two possible options are: "MaxMin", or "Quantile". The default value for this parameter is Quantile.
sd	this represents upto which standard deviation you want to scale I

Value

rescaled I

Examples

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)
statsVI<-summaryVector(vI)
corrections<-iCorrection(I,vI,scalingUpTo="Quantile")

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