CT_Hypothesis_Test {ConcordanceTest} R Documentation

## 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)
```

### 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.

### 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).

### 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)
```

[Package ConcordanceTest version 1.0.0 Index]