friedman_test {rstatix} | R Documentation |
Provides a pipe-friendly framework to perform a Friedman rank sum
test, which is the non-parametric alternative to the one-way repeated
measures ANOVA test. Wrapper around the function
friedman.test()
. Read more:
Friedman
test in R.
friedman_test(data, formula, ...)
data |
a data.frame containing the variables in the formula. |
formula |
a formula of the form |
... |
other arguments to be passed to the function
|
return a data frame with the following columns:
.y.
: the y (dependent) variable used in the test.
n
:
sample count.
statistic
: the value of Friedman's chi-squared
statistic, used to compute the p-value.
p
: p-value.
method
: the statistical test used to compare groups.
# Load data
#:::::::::::::::::::::::::::::::::::::::
data("ToothGrowth")
df <- ToothGrowth %>%
filter(supp == "VC") %>%
mutate(id = rep(1:10, 3))
head(df)
# Friedman rank sum test
#:::::::::::::::::::::::::::::::::::::::::
df %>% friedman_test(len ~ dose | id)