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 : bool
If True and any cell count is zero, add 0.5 to all values in the table.
These methods should only be used when the rows and columns of the
table have the same categories. If `table` is provided as a
Pandas DataFrame, the row and column indices will be extended to
create a square table, inserting zeros where a row or column is
missing. Otherwise the table should be provided in a square form,
with the (implicit) row and column categories appearing in the
same order.
Methods
from_data
(data[, shift_zeros])Construct a Table object from data. homogeneity
([method])Compare row and column marginal distributions. 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. Methods
from_data
(data[, shift_zeros])Construct a Table object from data. homogeneity
([method])Compare row and column marginal distributions. 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. Properties
chi2_contribs
Returns the contributions to the chi^2 statistic for independence. cumulative_log_oddsratios
Returns cumulative log odds ratios. cumulative_oddsratios
Returns the cumulative odds ratios for a contingency table. fittedvalues
Returns fitted cell counts under independence. independence_probabilities
Returns fitted joint probabilities under independence. local_log_oddsratios
Returns local log odds ratios. local_oddsratios
Returns local odds ratios. marginal_probabilities
Estimate marginal probability distributions for the rows and columns. resid_pearson
Returns Pearson residuals. standardized_resids
Returns standardized residuals under independence.