ConcordanceTest (version 1.0.3)

CT_Hypothesis_Test: Hypothesis Test for Testing whether Samples Originate from the Same Distribution

Description

This function performs the hypothesis test for testing whether samples originate from the same distribution.

Usage

CT_Hypothesis_Test(Sample_List, Num_Sim = 10000, H = 0, verbose = TRUE)

Value

The function returns a list with the following elements:

1. results: Table with the statistics and the signification levels.

2. C_p-value: Concordance test signification level.

3. H_p-value: Kruskal-Wallis test signification level (only if H = 1).

Arguments

Sample_List

List of numeric data vectors with the elements of each sample.

Num_Sim

The number of used simulations. The default is 10000.

H

0 by default. If set to 1, the Kruskal-Wallis test is also performed and returned.

verbose

A logical indicating if some "progress report" of the simulations should be given. The default is TRUE.

References

Myles Hollander and Douglas A. Wolfe (1973), Nonparametric Statistical Methods. New York: John Wiley & Sons. Pages 115-120.

Examples

## Hollander & Wolfe (1973), 116.
## Mucociliary efficiency from the rate of removal of dust in normal
##  subjects, subjects with obstructive airway disease, and subjects
##  with asbestosis.
x <- c(2.9, 3.0, 2.5, 2.6, 3.2) # normal subjects
y <- c(3.8, 2.7, 4.0, 2.4)      # with obstructive airway disease
z <- c(2.8, 3.4, 3.7, 2.2, 2.0) # with asbestosis
Sample_List <- list(x, y, z)
CT_Hypothesis_Test(Sample_List, Num_Sim = 1000, H = 1)


## Example
A <- c(12,13,15,20,23,28,30,32,40,48)
B <- c(29,31,49,52,54)
C <- c(24,26,44)
Sample_List <- list(A, B, C)
CT_Hypothesis_Test(Sample_List, Num_Sim = 1000, H = 1)

## Example with ties
A <- c(12,13,15,20,24,29,30,32,40,49)
B <- c(29,31,49,52,54)
C <- c(24,26,44)
Sample_List <- list(A, B, C)
CT_Hypothesis_Test(Sample_List, Num_Sim = 1000, H = 1)