An array of samples (each with at least one non-missing value, as R requires), or one sample with group
labels g.
Optionalg: readonly GroupLabel[]
Group labels, parallel to x.
There is also a formula form, kruskalTest("y ~ g", data) (next overload).
Kruskal-Wallis test from a formula and a data frame. As R's kruskal.test(formula, data): "y ~ g",
one group per level of g. Only the variables of the formula count: the rows where one of them is missing are
dropped.
"y ~ g" (one variable on each side).
The data frame: an object of columns (null or NaN for a missing value).
Kruskal-Wallis rank sum test. Equivalent to R's
kruskal.test().