kruskal_wallis_test {pseudorank} | R Documentation |
Kruskal-Wallis Test
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)
[Package pseudorank version 1.0.4 Index]