R: Association Statistics

assocstats {vcd} | R Documentation

## 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)

### 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.

### Value

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

`chisq_tests` | a 2 x 3 table with the chi-squared statistics.
`phi` | The absolute value of the phi coefficient (only defined for 2 x 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.

### Author(s)

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

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

    assocstats(UCBAdmissions)

[Package vcd version 1.4-4 Index]