plotHistogramOverlayCorrelation: Creates an overlay of the histogram of the data and the...

In Irescale: Calculate and Rectify Moran's I

Description

plotHistogramOverlayCorrelation Overlays the histogram and the theorical normal distribution.

Usage

plotHistogramOverlayCorrelation(originalVec, vec, I, n, bins = 50,
  main = "Histogram")

Arguments

originalVec	The original vector of I, it should be sorted.
vec	the vector to plot.
I	the value of I to plot
n	number of observations in the sample.
bins	the number of bins for the histogram, The default value is 30.
main	the title of the histogram, The default value is "Histogram".

Examples

inputFileName<-system.file("testdata", "chen.csv", package="Irescale")
input<-loadFile(inputFileName)
distM<-calculateEuclideanDistance(input$data)
I<-calculateMoranI(distM = distM,varOfInterest = input$varOfInterest)
originalI<-resamplingI(distM, input$varOfInterest)
correlationI<-ItoPearsonCorrelation(originalI,length(input$varOfInterest))
plotHistogramOverlayCorrelation(originalI,correlationI,I,length(input$varOfInterest))

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