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# scipy.stats.tiecorrect

`scipy.stats.``tiecorrect`(rankvals)

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

  Parameters : | rankvals : 1-d 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
  `mannwhitney`
    Mann-Whitney rank test
  `kruskal`
    Kruskal-Wallis H test

  References

  [R200] | 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

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