| Copyright | (c) 2014 Danny Navarro |
|---|---|
| License | BSD3 |
| Maintainer | bos@serpentine.com |
| Stability | experimental |
| Portability | portable |
| Safe Haskell | None |
| Language | Haskell2010 |
Statistics.Test.KruskalWallis
Contents
Description
Synopsis
- kruskalWallisTest :: ( Ord a, Unbox a) => [ Vector a] -> Maybe ( Test ())
- kruskalWallisRank :: ( Unbox a, Ord a) => [ Vector a] -> [ Vector Double ]
- kruskalWallis :: ( Unbox a, Ord a) => [ Vector a] -> Double
- module Statistics.Test.Types
Kruskal-Wallis test
kruskalWallisTest :: ( Ord a, Unbox a) => [ Vector a] -> Maybe ( Test ()) Source #
Perform Kruskal-Wallis Test for the given samples and required
significance. For additional information check
kruskalWallis
. This is just
a helper function.
It uses
Chi-Squared
distribution for approximation as long as the sizes are
larger than 5. Otherwise the test returns
Nothing
.
Building blocks
kruskalWallisRank :: ( Unbox a, Ord a) => [ Vector a] -> [ Vector Double ] Source #
Kruskal-Wallis ranking.
All values are replaced by the absolute rank in the combined samples.
The samples and values need not to be ordered but the values in the result are ordered. Assigned ranks (ties are given their average rank).
kruskalWallis :: ( Unbox a, Ord a) => [ Vector a] -> Double Source #
The Kruskal-Wallis Test.
In textbooks the output value is usually represented by
K
or
H
. This
function already does the ranking.
module Statistics.Test.Types