associationTest: Chi-square test of association / independence
In lsr: Companion to "Learning Statistics with R"

Description Usage Arguments Details Value Examples

Convenience function that runs a chi-square test of association/independence. This is a wrapper function intended to be used for pedagogical purposes only.

1	associationTest(formula, data = NULL)

`formula`	One-sided formula specifying the two variables (required).
`data`	Optional data frame containing the variables.

The associationTest function runs the chi-square test of association on the variables specified in the formula argument. The formula must be a one-sided formula of the form ~variable1 + variable2, and both variables must be factors.

An object of class 'assocTest'. When printed, the output is organised into six short sections. The first section lists the name of the test and the variables included. The second lists the null and alternative hypotheses for the test. The third shows the observed contingency table, and the fourth shows the expected contingency table under the null. The fifth prints out the test results, and the sixth reports an estimate of effect size.

df <- data.frame(
gender=factor(c("male","male","male","male","female","female","female")),
answer=factor(c("heads","heads","heads","heads","tails","tails","heads"))
)

associationTest( ~ gender + answer, df )