boot.t.test | R Documentation |

Performs the bootstrap t-test as described in Algorithm 16.2 in Efron and Tibshirani (1993).

```
boot.t.test(x, y, reps = 1000, mu = 0, alternative = c("two.sided", "less", "greater"))
```

`x ` |
Vector of values from the first group. |

`y ` |
Vector of values from the second group. |

`reps ` |
Number of bootstrap replications to use. |

`mu ` |
Null hypothesised difference between the group means. |

`alternative ` |
The alternative hypothesis to use (default = "two.sided"). |

The numerator of the test statistic is calculated as `(x - y) - mu`

.

Returns a list containing the following items:

`mu0 ` |
The null hypothesised difference. |

`statistic ` |
The test statistic. |

`alternative ` |
Alternative hypothesis. |

`p.value ` |
The p-value for the test. |

Theo Pepler

Efron, B. and Tibshirani, R. (1993). An Introduction to the Bootstrap. Chapman and Hall/CRC.

```
xvec <- rnorm(15)
yvec <- rnorm(15) - 0.7
boot.t.test(x = xvec, y = yvec)
boot.t.test(x = xvec, y = yvec, mu = 0.7)
```

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