statsmodels.stats.contingency_tables.Table¶
-
class
statsmodels.stats.contingency_tables.
Table
(table, shift_zeros=True)[source]¶ A two-way contingency table.
Parameters: table : array-like
A contingency table.
shift_zeros : boolean
If True and any cell count is zero, add 0.5 to all values in the table.
See also
statsmodels.graphics.mosaicplot.mosaic
,scipy.stats.chi2_contingency
Notes
The inference procedures used here are all based on a sampling model in which the units are independent and identically distributed, with each unit being classified with respect to two categorical variables.
References
- Definitions of residuals:
- https://onlinecourses.science.psu.edu/stat504/node/86
Attributes
table_orig (array-like) The original table is cached as table_orig. Methods
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. from_data
(data[, shift_zeros])Construct a Table object from data. 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. test_nominal_association
()Assess independence for nominal factors. test_ordinal_association
([row_scores, …])Assess independence between two ordinal variables.