This function computes the raw p-values for the post hoc based on Friedman's test.

1 | ```
friedmanPost(data, control = NULL, ...)
``` |

`data` |
Data set (matrix or data.frame) to apply the test. The column names are taken as the groups and the values in the matrix are the samples. |

`control` |
Either the number or the name of the column for the control algorithm. If this parameter is not provided, the all vs all comparison is performed. |

`...` |
Not used. |

The test has been implemented according to the version in Demsar (2006), page 12.

A matrix with all the pairwise raw p-values (all vs. all or all vs. control).

J. Demsar (2006) Statistical Comparisons of Classifiers over Multiple Data Sets. *Journal of Machine Learning Research*, 7, 1-30.

1 2 3 | ```
data(data_gh_2008)
friedmanPost(data.gh.2008)
friedmanPost(data.gh.2008, control=1)
``` |

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