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

Performs the Benjamini-Yekutieli FDR-controlling method for multiple hypothesis testing.

1 | ```
BY(u, alpha = 0.05)
``` |

`u ` |
A (non-empty) numeric vector of p-values. |

`alpha ` |
Numeric value. The significance level of the test. |

The function BY allows for the application of the Benjamini and Yekutieli (2001) false discovery rate controlling procedure under dependence assumptions. The false discovery rate is estimated by the simple method proposed by: Dalmasso, Broet, Moreau (2005), by taking n=1 in their formula.

A list containing the following values:

`Rejections ` |
The number of effects declared by the BY procedure. |

`FDR ` |
The estimated false discovery rate. |

`Adjusted.pvalues ` |
The adjusted p-values. |

`data ` |
The original p-values. |

`alpha ` |
The specified significance level for the test. |

`call ` |
The matched call. |

Irene Castro Conde and Jacobo de Uña Álvarez

Benjamini Y and Yekutieli D (2001). The control of the false discovery rate in multiple testing under dependency. *Annals of Statistics* 29, 1165–1188.

Dalmasso C, Broet P and Moreau T (2005). A simple procedure for estimating the false discovery rate. *Bioinformatics* 21:660–668

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sgof documentation built on May 30, 2017, 6:08 a.m.

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