buildStabilityTableForCorrelation: Finds how many iterations are necessary to achieve stability...
In Irescale: Calculate and Rectify Moran's I

Description Usage Arguments Value Examples

buildStabilityTableForCorrelation finds how many iterations are necessary to achieve stability in resampling method, plotting in a log scale.

1 2	buildStabilityTableForCorrelation(data, times = 10, samples = 100, plots = TRUE)

`data`	data structure after loading the file using `loadFile` function
`times`	the number of times `rescaleI` will be executed. The default value is 100.
`samples`	size of the resampling method. The default value is 1000
`plots`	to draw the significance plot

A vector with the average \log(samples) averages I

1
2
3

fileInput <- system.file("testdata", "chen.csv", package="Irescale")
data <- loadFile(fileInput)
resultsChen<-buildStabilityTableForCorrelation(data=data,times=10,samples=100,plots=TRUE)