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

Description Usage Arguments Value Examples

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

1 2	buildStabilityTable(data, times = 10, samples = 100, plots = TRUE, scalingUpTo = "Quantile")

`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
`scalingUpTo`	the rescaling could be done up to the 0.01% and 99.99% quantile or max and min values. The two possible options are: "MaxMin", or "Quantile". The default value for this parameter is "Quantile"

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

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