computeTestKolmogorovLogistic {rotRPackage} | R Documentation |
This ROT function, called from a Test C++ object, is given a sample, a point, the necessary distribution parameters and optionnaly a test level. It then returns the result of a K-S test against the null hypothesis that the sample has un underlying Logistic distribution of the given parameters and returns a list containing the result and test p-value.
computeTestKolmogorovLogistic(numericalSample, alpha, beta, testLevel = 0.95, estimatedParameters)
numericalSample |
the sample to be tested (numeric vector) |
alpha |
The Logistic distribution alphaParameter. |
beta |
The Logistic distribution betaParameter. |
testLevel |
the test level. (scalar in [0:1]) |
estimatedParameters |
the test level. (scalar in [0:1]) |
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) |
Pierre-Matthieu Pair, Softia for EDF.
# Standard Logistic distribution example. print(computeTestKolmogorovLogistic(3.0 + 1.5 * log(1.0 / (1.0 - runif(1000)) - 1.0), 3, 1.5)) print(computeTestKolmogorovLogistic(2.5 + 1.5 * log(1.0 / (1.0 - runif(1000)) - 1.0), 3, 1.5))