lsr (version 0.5.2)

associationTest: Chi-square test of association / independence

Description

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

Usage

associationTest(formula, data = NULL)

Arguments

formula

One-sided formula specifying the two variables (required).

data

Optional data frame containing the variables.

Value

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.

Details

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.

Examples

# NOT RUN {
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 )

# }