Description Usage Arguments Details Value Note Author(s) References Examples

Performs one-sample and two-sample permutation tests on vectors of data.

1 2 |

`x` |
A (non-empty) numeric vector of data values. |

`y` |
An optional numeric vector data values. |

`alternative` |
A character string specifying the alternative hypothesis, and
must be one of |

`mu` |
A number indicating the null value of the location parameter (or the difference in location parameters if performing a two-sample test). |

`paired` |
Logical, indicating whether or not a two-sample test should be paired, and is ignored for a one-sample test. |

`all.perms` |
Logical. The exact p-value is attempted when |

`num.sim` |
The upper limit on the number of permutations generated. |

`plot` |
Logical. If |

`stat` |
Function, naming the test statistic, such as |

`...` |
Optional arguments to |

A paired test using data `x`

and nonNULL `y`

is
equivalent to a one-sample test using data `x-y`

.
The output states more details about the permutation test, such as one-sample or two-sample,
and whether or not the `p.value`

calculated was based on all permutations.

`alternative` |
Same as the input. |

`mu` |
Same as the input. |

`p.value` |
The p-value of the permutation test. |

The formulas computed within `perm.test`

are based on the textbook by Higgins (2004).

Steven T. Garren, James Madison University, Harrisonburg, Virginia, USA

Higgins, J. J. (2004) *Introduction to Modern Nonparametric Statistics*.

1 2 3 4 5 6 7 8 9 10 11 |

```
[1] 1.6013242 1.5846410 -0.5714917 0.3988142 0.5416978 1.3851507
[7] -0.2418826 1.3553764 0.5802484 -0.4113348
[[1]]
[1] "One-sample permutation test was performed."
[[2]]
[1] "p-value was calculated based on all permutations."
$alternative
[1] "two.sided"
$mu
[1] 0
$p.value
[1] 0.078125
[1] 1.5735208 1.5312516 0.4463142 1.2528721 -0.5620620 2.3429980
[7] 0.7756172 1.6497653 0.7889176 0.5107436 0.7542697 1.4606170
[13] 0.4759810
[[1]]
[1] "Unpaired two-sample permutation test was performed."
[[2]]
[1] "p-value was estimated based on 20000 simulations."
$alternative
[1] "two.sided"
$mu
[1] 0
$p.value
[1] 0.2584
```

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