cramersv | R Documentation |

This function calculates Cramer's V, a measure of association between two categorical variables.

```
cramersv(x)
```

`x` |
The result of |

Cramer's V is a scaled version of the chi-squared test statistic `\chi^2`

and
takes values in `[0, 1]`

. It is calculated as
`\sqrt{\chi^2 / (n \cdot (k - 1))}`

, where `n`

is the number of observations,
and `k`

is the smaller of the number of levels of the two variables.

Yates continuity correction is never applied. So in the 2x2 case, if `x`

is the
result of `stats::chisq.test()`

, make sure no continuity correction was applied.
Otherwise, results can be inconsistent.

A numeric vector of length one.

Cramer, Harald. 1946. Mathematical Methods of Statistics. Princeton: Princeton University Press, page 282 (Chapter 21. The two-dimensional case).

`ci_cramersv()`

```
cramersv(mtcars[c("am", "vs")])
```

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.