scipy.stats.tiecorrect¶
- scipy.stats.tiecorrect(rankvals)¶
Tie correction factor for ties in the 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 stats.rankdata.
Returns: factor : float
Correction factor for U or H.
See also
- rankdata
- Assign ranks to the data
- mannwhitneyu
- Mann-Whitney rank test
- kruskal
- Kruskal-Wallis H test
References
[R314] Siegel, S. (1956) Nonparametric Statistics for the Behavioral Sciences. New York: McGraw-Hill. Examples
>>> tiecorrect([1, 2.5, 2.5, 4]) 0.9 >>> ranks = rankdata([1, 3, 2, 4, 5, 7, 2, 8, 4]) >>> ranks array([ 1. , 4. , 2.5, 5.5, 7. , 8. , 2.5, 9. , 5.5]) >>> tiecorrect(ranks) 0.9833333333333333