| Copyright | (c) 2014 Danny Navarro |
|---|---|
| License | BSD3 |
| Maintainer | bos@serpentine.com |
| Stability | experimental |
| Portability | portable |
| Safe Haskell | None |
| Language | Haskell98 |
Statistics.Test.KruskalWallis
Description
- kruskalWallisRank :: [Sample] -> [Sample]
- kruskalWallis :: [Sample] -> Double
- kruskalWallisSignificant :: [Int] -> Double -> Double -> Maybe TestResult
- kruskalWallisTest :: Double -> [Sample] -> Maybe TestResult
Documentation
kruskalWallisRank :: [Sample] -> [Sample] #
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 :: [Sample] -> Double #
The Kruskal-Wallis Test.
In textbooks the output value is usually represented by K or H. This
function already does the ranking.
Arguments
| :: [Int] | The samples' size |
| -> Double | The p-value at which to test (e.g. 0.05) |
| -> Double | K value from |
| -> Maybe TestResult |
Calculates whether the Kruskal-Wallis test is significant.
It uses Chi-Squared distribution for aproximation as long as the sizes are
larger than 5. Otherwise the test returns Nothing.
kruskalWallisTest :: Double -> [Sample] -> Maybe TestResult #
Perform Kruskal-Wallis Test for the given samples and required
significance. For additional information check kruskalWallis. This is just
a helper function.