assocstats: Association Statistics

In vcd: Visualizing Categorical Data

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 \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.

Author(s)

David Meyer [e-mail]

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)

vcd documentation built on Sept. 17, 2024, 1:08 a.m.