bonferroni: Bonferroni correction...
In mutoss: Unified multiple testing procedures

Description Usage Arguments Details Value Author(s) References

Bonferroni correction

1	bonferroni(pValues, alpha, silent=FALSE)

`pValues`	A numeric vector containing the unadjusted pValues. No assumption is made on the dependence structure.
`alpha`	The overall type I error at which the FWER shall be controlled (optional).
`silent`	logical scalar. If `TRUE` no output is generated.

The classical Bonferroni correction outputs adjusted p-values, ensuring strong FWER control under arbitrary dependence of the input p-values. It simply multiplies each input p-value by the total number of hypotheses (and ceils at value 1).

It is recommended to use Holm's step-down instead, which is valid under the exact same assumptions and more powerful.

A list containing:

`adjPValues`	A numeric vector containing the new adjusted pValues
`rejected`	(if alpha is given) A logical vector indicating which hypotheses are rejected
`errorControl`	A Mutoss S4 class of type `errorControl`, containing the type of error controlled by the function.

MuToss-Coding Team

Bonferroni, C. E. (1935) Il calcolo delle assicurazioni su gruppi di teste. 'In Studi in Onore del Professore Salvatore Ortu Carboni. Rome: Italy, pp. 13-60.

Bonferroni, C. E. (1936) Teoria statistica delle classi e calcolo delle probabilita. Pubblicazioni del R Istituto Superiore di Scienze Economiche e Commerciali di Firenze 8, 3-62, 1936.

mutoss documentation built on May 2, 2019, 5:56 p.m.