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

The function for computing the adjusted p-values based on original p-values and fold *k*.

1 | ```
gsidak.p.adjust(p, k, alpha, make.decision)
``` |

`p` |
numeric vector of p-values (possibly with |

`k` |
number of allowed type 1 errors in k-FWER controls. |

`alpha` |
significant level used to compare with adjusted p-values to make decisions, the default value is 0.05. |

`make.decision` |
logical; if |

A numeric vector of the adjusted p-values (of the same length as `p`

) if `make.decision = FALSE`

, or a list including original p-values, adjusted p-values and decision rules if `make.decision = TRUE`

.

Yalin Zhu

Guo, W., & Romano, J. (2007).
A generalized Sidak-Holm procedure and control of generalized error rates under independence.
*Statistical Applications in Genetics and Molecular Biology*, **6**(1).

`gbonf.p.adjust`

, `p.adjust`

, `Sidak.p.adjust`

.

1 2 | ```
p <- c(0.031,0.023,0.029,0.005,0.031,0.000,0.874,0.399,0.293,0.077)
gsidak.p.adjust(p, k=2)
``` |

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