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vcd (version 1.4-13)

assocstats: Association Statistics

Description

Computes the Pearson chi-Squared test, the Likelihood Ratio chi-Squared test, the phi coefficient, the contingency coefficient and Cramer's V for possibly stratified contingency tables.

Usage

assocstats(x)

Value

In case of a 2-dimensional table, a list with components:

chisq_tests

a \(2 \times 3\) table with the chi-squared statistics.

phi

The absolute value of the phi coefficient (only defined for \(2 \times 2\) tables).

cont

The contingency coefficient.

cramer

Cramer's V.

In case of higher-dimensional tables, a list of the above mentioned structure, each list component representing one stratum defined by the combinations of all levels of the stratum dimensions.

Arguments

x

a contingency table, with possibly more than 2 dimensions. In this case, all dimensions except the first two ones are considered as strata.

Author

David Meyer David.Meyer@R-project.org

References

Michael Friendly (2000), Visualizing Categorical Data. SAS Institute, Cary, NC.

Fleiss, J. L. (1981). Statistical methods for rates and proportions (2nd ed). New York: Wiley

Examples

Run this code
data("Arthritis")
tab <- xtabs(~Improved + Treatment, data = Arthritis)
summary(assocstats(tab))

assocstats(UCBAdmissions)

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