#### Previous topic

scipy.stats.mstats.chisquare

#### Next topic

scipy.stats.mstats.describe

# scipy.stats.mstats.count_tied_groups

`scipy.stats.mstats.``count_tied_groups`(x, use_missing=False)

  Counts the number of tied values.

  Parameters: | x : sequence Sequence of data on which to counts the ties use_missing : bool, optional Whether to consider missing values as tied.
  Returns: | count_tied_groups : dict Returns a dictionary (nb of ties: nb of groups).

  Examples

      >>> from scipy.stats import mstats
      >>> z = [0, 0, 0, 2, 2, 2, 3, 3, 4, 5, 6]
      >>> mstats.count_tied_groups(z)
      {2: 1, 3: 2}

  In the above example, the ties were 0 (3x), 2 (3x) and 3 (2x).

      >>> z = np.ma.array([0, 0, 1, 2, 2, 2, 3, 3, 4, 5, 6])
      >>> mstats.count_tied_groups(z)
      {2: 2, 3: 1}
      >>> z[[1,-1]] = np.ma.masked
      >>> mstats.count_tied_groups(z, use_missing=True)
      {2: 2, 3: 1}