Description Usage Arguments Value Author(s) References See Also Examples

In multiple testing problem, the adjusted P-values correspond to test statistics can be used with any fixed alpha to dertermine which hypotheses to be rejected.

1 |

`teststats` |
The k-vector of test statistics, |

`alternative` |
The alternative hypothesis: "U"=upper one-sided test (default); "L"=lower one-sided test; "B"=two-sided test. For lower one-sided tail test, use the negations of each of the test statistics. |

`df` |
Degree of freedom of the t-test statistics. When (approximately) normally distributed test statistics are applied, set df=Inf (default). |

`corr` |
Specified for equally correlated test statistics, which is the common correlation between the test statistics, default=0.5. |

`corr.matrix` |
Specified for unequally correlated test statistics, which is the correlation matrix of the test statistics, default=NA. |

`mcs` |
The number of monte carlo sample points to numerically approximate the probability that to solve critical values for a given P value, refer to Equation (3.3) in Dunnett and Tamhane (1992), default=1e+05. |

Return a LIST containing:

`"ordered test statistics"` |
ordered test statistics from smallest to largest |

`"Adjusted P-values of ordered test statistics"` |
adjusted P-values correspond to the ordered test statistics |

FAN XIA <phoebexia@yahoo.com>

Charles W. Dunnett and Ajit C. Tamhane. A step-up multiple test procedure. Journal of the American Statistical Association, 87(417):162-170, 1992.

1 |

```
Loading required package: mvtnorm
$`ordered test statistics`
H1 H2
2.2 2.7
$`Adjusted P-values of ordered test statistics`
[1] 0.018 0.010
```

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