STATBEAN Contingency Table Calculator Name: ContingencyTables
Purpose: Performs contingency table analysis and calculates measures of association for rows and columns in contingency tables.
Name | Type | Description | Possible Values | Default Value |
columnLabelVariableName | String | The name of the column containing row labels. | Any string. | "Label" |
frequencyVariableName | String | The name of the column containing cell frequencies, in row-by-row order | Any string. | "Frequency" |
numberOfColumns | int | Number of columns. | 1+ | 0 |
numberOfRows | int | Number of rows. | 1+ | 0 |
rowLabelVariableName | String | The name of the column containing row labels. | Any string. | "Label" |
Name | Description | Arguments | Return Value |
double getContingencyCoefficient() | Returns statistic for test of association. | None. | Statistic. |
double getChiSquared() | Returns statistic for test of association. | None. | Statistic. |
int getChiSquaredDf() | Returns degrees of freedom for test of association. | None. | degrees of freedom. |
double getChiSquaredPValue() | Returns P-value for test of association. | None. | P-value. |
double getConditionalGamma() | Returns statistic for test of association. | None. | Statistic. |
double getCramersV() | Returns statistic for test of association. | None. | Statistic. |
double getEtaColumnsDependent() | Returns statistic for test of association. | None. | Statistic. |
double getEtaRowsDependent() | Returns statistic for test of association. | None. | Statistic. |
double getFisherPvalue() | Returns P-value for test of association. | None. | P-value. |
double getKendallsTauB() | Returns statistic for test of association. | None. | Statistic. |
double getKendallsTauBPValue() | Returns P-value for test of association. | None. | P-value. |
double getKendallsTauC() | Returns statistic for test of association. | None. | Statistic. |
double getLambdaSymmetric() | Returns statistic for test of association. | None. | Statistic. |
double getLambdaRowsDependent() | Returns statistic for test of association. | None. | Statistic. |
double getLambdaColumnsDependent() | Returns statistic for test of association. | None. | Statistic. |
double getPearsonsR() | Returns statistic for test of association. | None. | Statistic. |
int getPearsonsRDf() | Returns degrees of freedom for test of association. | None. | Degrees of freedom. |
double getPearsonsRPValue() | Returns P-value for test of association. | None. | P-value. |
double getSomersDColumnsDependent() | Returns statistic for test of association. | None. | Statistic. |
double getSomersDRowsDependent() | Returns statistic for test of association. | None. | Statistic. |
double getSomersDSymmetric() | Returns statistic for test of association. | None. | Statistic. |
int getTotalCount() | Returns sum of the frequencies. | None. | Sum. |
double getUncertaintyCoefficientColumnsDependent() | Returns statistic for test of association. | None. | Statistic. |
double getUncertaintyCoefficientRowsDependent() | Returns statistic for test of association. | None. | Statistic. |
double getUncertaintyCoefficientSymmetric() | Returns statistic for test of association. | None. | Statistic. |
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