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# scipy.stats.mstats.count_tied_groups

`scipy.stats.mstats.``count_tied_groups`(x, use_missing=False)
  Counts the number of tied values in x, and returns a dictionary
    (nb of ties: nb of groups).

  Parameters : | x : sequence Sequence of data on which to counts the ties use_missing : boolean Whether to consider missing values as tied.

  Examples

      >>> z = [0, 0, 0, 2, 2, 2, 3, 3, 4, 5, 6]
      >>> count_tied_groups(z)
      >>> {2:1, 3:2}
      >>> # The ties were 0 (3x), 2 (3x) and 3 (2x)
      >>> z = ma.array([0, 0, 1, 2, 2, 2, 3, 3, 4, 5, 6])
      >>> count_tied_groups(z)
      >>> {2:2, 3:1}
      >>> # The ties were 0 (2x), 2 (3x) and 3 (2x)
      >>> z[[1,-1]] = masked
      >>> count_tied_groups(z, use_missing=True)
      >>> {2:2, 3:1}
      >>> # The ties were 2 (3x), 3 (2x) and masked (2x)

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