# assocstats

From vcd v1.4-4
0th

Percentile

##### Association Statistics

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.

Keywords
category
##### 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.

##### 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

##### Aliases
• assocstats
• summary.assocstats
• print.assocstats
• print.summary.assocstats
##### Examples
library(vcd) # NOT RUN { data("Arthritis") tab <- xtabs(~Improved + Treatment, data = Arthritis) summary(assocstats(tab)) assocstats(UCBAdmissions) # } 
Documentation reproduced from package vcd, version 1.4-4, License: GPL-2

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