kw.test: Kruskal-Wallis Test

Description

kw.test performs Kruskal-Wallis test.

Usage

kw.test(formula, data, alpha = 0.05, na.rm = TRUE, verbose = TRUE)

Value

A list with class "owt" containing the following components:

statistic: the Kruskal-Wallis test statistic.
parameter: the parameter(s) of the approximate chi-squared distribution of the test statistic.
p.value: the p-value of the test.
alpha: the level of significance to assess the statistical difference.
method: the character string "Kruskal-Wallis Test".
data: a data frame containing the variables in which NA values (if exist) are removed.
formula: a formula of the form lhs ~ rhs where lhs gives the sample values and rhs the corresponding groups.

Arguments

formula: a formula of the form lhs ~ rhs where lhs gives the sample values and rhs the corresponding groups.
data: a tibble or data frame containing the variables in formula.
alpha: the level of significance to assess the statistical difference. Default is set to alpha = 0.05.
na.rm: a logical value indicating whether NA values should be stripped before the computation proceeds.
verbose: a logical for printing output to R console.

Author

Anil Dolgun

References

Dag, O., Dolgun, A., Konar, N.M. (2018). onewaytests: An R Package for One-Way Tests in Independent Groups Designs. The R Journal, 10:1, 175-199.

Sheskin, D. J. (2004). Handbook of Parametric and Nonparametric Statistical Procedures. 3rd Edition. Chapman and Hall CRC. Florida: Boca Raton.

Examples

Run this code


library(onewaytests)

kw.test(Sepal.Length ~ Species, data = iris)

out <- kw.test(Sepal.Length ~ Species, data = iris)
paircomp(out)

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