Chi Square Plugin

Chi Square Introduction

The purpose of the ChiSquare plugin is to calculate the ChiSquare and the reduced ChiSquare for two sets of data.

Chi Square Plugin Properties

ExperimentalData: Data representing Experimental data.
ModelData: Data representing Model data.
NrOfModelParameters: Number of model parameters used to create the model data.
ChiSquare: The calculated ChiSquare.
ReducedChiSquare: The calculated reduced ChiSquare.

Chi Square Plugin Events

This plugin does not use any plugin events.

The execute Function

The execute() function will attempt to calculate the ChiSquare, and the reduced ChiSquare, using data supplied by the user.

Python examples

The python script below shows how to use the plugin.

from rrplugins import *

try:
    modelPlugin     = Plugin("tel_test_model")
    noisePlugin     = Plugin("tel_add_noise")
    chiSquarePlugin = Plugin("tel_chisquare")

    #Generate internal test data
    modelPlugin.execute()
    modelData = modelPlugin.TestData
    expData = modelPlugin.TestDataWithNoise

    chiSquarePlugin.ExperimentalData = expData
    chiSquarePlugin.ModelData = modelData
    chiSquarePlugin.NrOfModelParameters = 1

    chiSquarePlugin.execute()

    chi = chiSquarePlugin.ChiSquare
    reduced_chi = chiSquarePlugin.ReducedChiSquare

    print('ChiSquare is: ' + `chi`)
    print('Reduced ChiSquare is: ' + `reduced_chi`)

except Exception as e:
    print('Problem: ' + `e`)