kruskal_test: Kruskal-Wallis Test

In kassambara/rstatix: Pipe-Friendly Framework for Basic Statistical Tests

Kruskal-Wallis Test

Description

Provides a pipe-friendly framework to perform Kruskal-Wallis rank sum test. Wrapper around the function kruskal.test().

Usage

kruskal_test(data, formula, ...)

Arguments

data	a data.frame containing the variables in the formula.
formula	a formula of the form x ~ group where x is a numeric variable giving the data values and group is a factor with one or multiple levels giving the corresponding groups. For example, formula = TP53 ~ cancer_group.
...	other arguments to be passed to the function kruskal.test.

Value

return a data frame with the following columns:

• .y.: the y variable used in the test.

• n: sample count.

• statistic: the kruskal-wallis rank sum statistic used to compute the p-value.

• p: p-value.

• method: the statistical test used to compare groups.

Examples

# Load data
#:::::::::::::::::::::::::::::::::::::::
data("ToothGrowth")
df <- ToothGrowth

# Kruskal-wallis rank sum test
#:::::::::::::::::::::::::::::::::::::::::
df %>% kruskal_test(len ~ dose)

# Grouped data
df %>%
  group_by(supp) %>%
  kruskal_test(len ~ dose)

kassambara/rstatix documentation built on Feb. 6, 2023, 3:36 a.m.