KSTestCriticalValue: A simple wrapper to provide the p-value for the K-S one- and...

In FuzzySimRes: Simulation and Resampling Methods for Epistemic Fuzzy Data

A simple wrapper to provide the p-value for the K-S one- and two-sample test.

Description

'KSTestCriticalValue' calculates the p-value for the given critical value, based on the respective function from the stats package.

Usage

KSTestCriticalValue(criticalValue, n1, n2)

Arguments

criticalValue	Critical value for the one- or two-sample K-S test.
n1	Size of the first sample.
n2	Size of the second sample (or NA for the case of the one-sample test).

Details

The function calculates the p-value for the one- and two-sample Kolmogorov-Smirnov test using the respective function from the stats package. The necessary information is the critical value given by criticalValue parameter, and the sizes of one or two samples (parameters n1, n2, respectively). The output is used in one of the epistemic bootstrap methods if the one- or two-sample K-S test is applied.

Value

The output is given as a real number equal to the p-value for the one- or two-sample K-S test.

Examples

# find p-value for the critical value 0.3 and two samples of size 10

KSTestCriticalValue(0.3,10,10)

FuzzySimRes documentation built on Sept. 11, 2024, 8:24 p.m.