buildStabilityTable {Irescale}

Finds how many iterations are necessary to achieve stability in resampling method.

Description

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

Usage

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

Arguments

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"

Value

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

Examples

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