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statsmodels.stats.contingency_tables.SquareTable

class statsmodels.stats.contingency_tables.SquareTable(table, shift_zeros=True) [source]

Methods for analyzing a square contingency table.

Parameters:
  • table (array-like) – A square contingency table, or DataFrame that is converted to a square form.
  • shift_zeros (boolean) – If True and any cell count is zero, add 0.5 to all values in the table.
  • methods should only be used when the rows and columns of the (These) –
  • have the same categories. If table is provided as a (table) –
  • DataFrame, the row and column indices will be extended to (Pandas) –
  • a square table, inserting zeros where a row or column is (create) –
  • Otherwise the table should be provided in a square form, (missing.) –
  • the (implicit) row and column categories appearing in the (with) –
  • order. (same) –

Methods

chi2_contribs()
cumulative_log_oddsratios()
cumulative_oddsratios()
fittedvalues()
from_data(data[, shift_zeros]) Construct a Table object from data.
homogeneity([method]) Compare row and column marginal distributions.
independence_probabilities()
local_log_oddsratios()
local_oddsratios()
marginal_probabilities()
resid_pearson()
standardized_resids()
summary([alpha, float_format]) Produce a summary of the analysis.
symmetry([method]) Test for symmetry of a joint distribution.
test_nominal_association() Assess independence for nominal factors.
test_ordinal_association([row_scores, …]) Assess independence between two ordinal variables.

© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.stats.contingency_tables.SquareTable.html