statsmodels.stats.inter_rater.aggregate_raters(data, n_cat=None) [source]

convert raw data with shape (subject, rater) to (subject, cat_counts)

brings data into correct format for fleiss_kappa

bincount will raise exception if data cannot be converted to integer.

  • data (array_like, 2-Dim) – data containing category assignment with subjects in rows and raters in columns.
  • n_cat (None or int) – If None, then the data is converted to integer categories, 0,1,2,…,n_cat-1. Because of the relabeling only category levels with non-zero counts are included. If this is an integer, then the category levels in the data are already assumed to be in integers, 0,1,2,…,n_cat-1. In this case, the returned array may contain columns with zero count, if no subject has been categorized with this level.

arr – Contains counts of raters that assigned a category level to individuals. Subjects are in rows, category levels in columns.

Return type:

nd_array, (n_rows, n_cat)

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© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.