View source: R/friedman_test.R
friedman_test | 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)
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