fisher {broman} | R Documentation |

## Fisher's exact test for a two-way table

### Description

Performs a sampling version of Fisher's exact test for a two-way contingency table.

### Usage

```
fisher(tab, n.sim = 1000)
```

### Arguments

`tab` |
A matrix of counts. |

`n.sim` |
Number of samples of permuted tables to consider. |

### Details

This is like the function `stats::fisher.test()`

, but
calculates an approximate P-value rather than performing a complete
enumeration. This will be better for large, sparse tables.

### Value

A single number: the P-value testing independence of rows and columns in the table.

### See Also

`stats::chisq.test()`

, `stats::fisher.test()`

, `chisq()`

### Examples

```
TeaTasting <- matrix(c(3,1,1,3),nrow=2)
fisher(TeaTasting,1000)
```

[Package

*broman*version 0.84 Index]