cat_compare | R Documentation |

`cat_compare`

gives details about the association between two categorical variables.

```
cat_compare(x, y, plot = TRUE)
```

`x` |
A categorical variable: the predictor or group variable, if appropriate |

`y` |
A categorical variable: the outcome, if appropriate |

`plot` |
Logical. Whether a mosaic plot should be drawn |

Strictly, x and y do not need to be factors but will be coerced into factors.

Returns a list including (1) two-way table of counts, (2) chi-squared test for independence, (3) Cramer's V standardized effect, and (4) ggplot2 column plot of proportions conditional on x, if requested.

The table of counts will include missing values of both variables, but these rows/columns are discarded prior to the chi-squared test and Cramer's V calculations.

```
v1 = rbinom(n=50, size=1, p=0.5)
v2 = rbinom(n=50, size=2, p=0.3 + 0.2*v1)
cat_compare(x=v1, y=v2, plot=TRUE)
```

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