scipy.stats.tiecorrect#

scipy.stats.tiecorrect(rankvals)[source]#

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

Parameters:

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

Returns:

factorfloat: 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

[1]

Siegel, S. (1956) Nonparametric Statistics for the Behavioral Sciences. New York: McGraw-Hill.

Examples

>>> from scipy.stats import tiecorrect, rankdata
>>> 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