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

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

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

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

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

The function BH allows for the application of the Benjamini and Hochberg (1995) false discovery rate controlling procedure. 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 BH 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 Hochberg Y (1995). Controlling the False Discovery Rate: A
Practical and Powerful Approach to Multiple Testing. *Journal of the Royal Statistical Society Series B (Methodological)* 57, 289–300.

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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