Description Usage Arguments Details Value References Examples

This function takes the particular list of possible hypthesis to correct for multiple testing, as defined in Li (2008).

1 | ```
adjustLi(pvalues)
``` |

`pvalues` |
Raw p-values in either a vector or a matrix. Note that in case the p-values are in a matrix, all the values are used for the correction. Therefore, if the matrix contains repeated values (as those output by some methods in this package), the repetitions have to be removed. |

The test has been implemented according to the version in Garcia *et al.* (2010), page 2680-2682. This is a simple procedure that provides good results when the highest p-value corrected is below 0.5. However, When the highest p-value is close to 1 the correction is extremely conservative. Actually, when the highest p-value is 1, all the corrected p-values are set at 1. Therefore, it is not advisable to be used under these circumstances.

A vector or matrix with the corrected p-values

S. Garcia, A. Fernandez, J. Luengo and F. Herrera (2010) Advanced nonparametric tests for multiple comparison in the design of experiments in computational intelligence and data mining: Experimental analysis of power. *Information Sciences*, 180, 2044-2064.

J. Li (2008) A two-step rejection prcedure for testing mulitple hypotheses. *Journal of Statistical Planning and Inference*, 138, 1521-1527.

1 2 3 | ```
data(data_gh_2008)
raw.pvalues <- friedmanPost(data.gh.2008)
adjustLi(raw.pvalues)
``` |

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