buildStabilityTableForCorrelation {Irescale}

Finds how many iterations are necessary to achieve stability in resampling method for rectifying I through pearson corrrelation.

Description

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

Usage

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

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

Value

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

Examples

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