kruskal_wallis_test: Kruskal-Wallis Test

In pseudorank: Pseudo-Ranks

Description

This function calculates the Kruskal-Wallis test using pseudo-ranks under the null hypothesis H0F: F_1 = ... F_k.

Usage

kruskal_wallis_test(x, ...)

## S3 method for class 'numeric'
kruskal_wallis_test(x, grp, na.rm = FALSE, pseudoranks = TRUE, ...)

## S3 method for class 'formula'
kruskal_wallis_test(formula, data, na.rm = FALSE, pseudoranks = TRUE, ...)

Arguments

x	numeric vector containing the data
...	further arguments are ignored
grp	factor specifying the groups
na.rm	a logical value indicating if NA values should be removed
pseudoranks	logical value indicating if pseudo-ranks or ranks should be used
formula	optional formula object
data	optional data.frame of the data

Value

Returns an object of class 'pseudorank'

References

Brunner, E., Bathke, A.C., and Konietschke, F. (2018a). Rank- and Pseudo-Rank Procedures for Independent Observations in Factorial Designs - Using R and SAS. Springer Series in Statistics, Springer, Heidelberg. ISBN: 978-3-030-02912-8.

Examples

x = c(1, 1, 1, 1, 2, 3, 4, 5, 6)
grp = as.factor(c('A','A','B','B','B','D','D','D','D'))

# calculate Kruskal-Wallis test using pseudo-ranks
kruskal_wallis_test(x, grp, na.rm = FALSE, pseudoranks = TRUE)

Example output

Kruskal-Wallis Test
 
Test Statistic:  6.736842 
Distribution of Statistic:  Chisq 
Degrees of Freedom:  2 
unweighted relative Effects / Pseudo-ranks:  TRUE
p-Value:  0.03444398 

pseudorank documentation built on Oct. 23, 2020, 7:15 p.m.