# Full randomization test

### Description

Performs a two sample full randomization test on vectors of data.

### Usage

1 | ```
frt(x, y, alternative = "two.sided")
``` |

### Arguments

`x` |
a numeric vector |

`y` |
a numeric vector |

`alternative` |
a character string specifying the alternative hypothesis, must be one of " |

### Details

The function tests all the *(n + m)! / n!m!* possible arrangements, where *n* and *m* are the lengths of `x`

and `y`

respectively. This number (just as computational times and memory requirements) grows extremely fast with *n* and *m*.

### Value

`numeric` |
the probability of the null hypothesis of no difference between means. |

### Author(s)

Giangiacomo Bravo

### References

Box, G.E.P, Hunter, J.S. and Hunter, G.W. (2005), *Statistics for Experimenters: Design, Innovation, and Discovery. Second Edition*. Hoboken, NJ: Wiley.

### See Also

`frt.paired`

### Examples

1 2 3 4 5 6 7 |