computeTestChiSquaredPoisson {rotRPackage}R Documentation

Compute the chi squared test for Poisson Distribution.

Description

This ROT function, called from a Test C++ object, is given a sample, the Poisson distribution parameter, and optionnaly a test level. It then returns the result of a X² test against the null hypothesis that the sample has un underlying Poisson distribution and returns a list containing the result, statistic and test p-value.

Usage

computeTestChiSquaredPoisson(numericalSample, lambda, testLevel = 0.95, estimatedParameters)

Arguments

numericalSample the sample to be tested (numeric vector)
lambda The lambda parameter (scalar)
testLevel the test level. (scalar in [0:1])
estimatedParameters the test level. (scalar in [0:1])

Value

A list is returned, containing :

testResult The result. 1 means H0 is not rejected. (scalar)
threshold The threshold applied to the p-value when deciding the outcome of the test.
pValue The test p-value. (scalar)

Author(s)

Pierre-Matthieu Pair, Softia for EDF.

Examples

# Standard Normal distribution example. 

print(computeTestChiSquaredPoisson(rpois(1000, 5), 5))
print(computeTestChiSquaredPoisson(rpois(1000, 5), 4))

[Package rotRPackage version 1.4.3 Index]