`scipy.stats._stats_py:tiecorrect`

source: /scipy/stats/_stats_py.py :8257

Signature

def tiecorrect ( rankvals )

Summary

Tie correction factor for Mann-Whitney U and Kruskal-Wallis H tests.

Parameters

rankvals : array_like: A 1-D sequence of ranks. Typically this will be the array returned by rankdata.

Returns

factor : float: Correction factor for U or H.

Notes

Array API Standard Support

tiecorrect has experimental support for Python Array API Standard compatible backends in addition to NumPy. Please consider testing these features by setting an environment variable SCIPY_ARRAY_API=1 and providing CuPy, PyTorch, JAX, or Dask arrays as array arguments. The following combinations of backend and device (or other capability) are supported.

====================  ====================  ====================
Library               CPU                   GPU
====================  ====================  ====================
NumPy                 ✅                     n/a                 
CuPy                  n/a                   ⛔                   
PyTorch               ⛔                     ⛔                   
JAX                   ⛔                     ⛔                   
Dask                  ⛔                     n/a                 
====================  ====================  ====================

See dev-arrayapi for more information.

Examples

from scipy.stats import tiecorrect, rankdata

✓

tiecorrect([1, 2.5, 2.5, 4])

✗

ranks = rankdata([1, 3, 2, 4, 5, 7, 2, 8, 4])

✓

ranks
tiecorrect(ranks)

✗

Aliases

scipy.stats.tiecorrect