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