Reproduces coin::wilcox_test(y ~ group): the response is
rank-transformed (midranks) and the standardized sum of ranks in the
second group is referred to the normal (asymptotic) or exact
permutation distribution.
Usage
morie_wilcox_test(
formula,
data,
alternative = "two.sided",
distribution = "asymptotic"
)
Arguments
- formula
y ~ group, group a two-level factor.
- data
A data frame.
- alternative
"two.sided" / "greater" / "less".
- distribution
"asymptotic" (default) or "exact".
Value
A list with statistic (standardized Z) and p.value.
Examples
set.seed(1)
df <- data.frame(y = rnorm(40), g = factor(rep(c("a", "b"), 20)))
str(morie_wilcox_test(y ~ g, df), max.level = 1)
#> List of 3
#> $ statistic: num 0.812
#> $ p.value : num 0.417
#> $ method : chr "morie Wilcoxon permutation test"
