# associationTest

##### Chi-square test of association / independence

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.

##### 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.

##### Value

##### Warning

This package is under development, and has been released only due to teaching constraints. Until this notice disappears from the help files, you should assume that everything in the package is subject to change. Backwards compatibility is NOT guaranteed. Functions may be deleted in future versions and new syntax may be inconsistent with earlier versions. For the moment at least, this package should be treated with extreme caution.

##### See Also

##### Examples

`library(lsr)`

```
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 )
```

*Documentation reproduced from package lsr, version 0.5, License: GPL-3*