View source: R/helper_function.R

permutation_pc | R Documentation |

A permutation test that randomly permutes the sample labels in distinct biological groups for each biomolecule. The difference in paired partial correlation is considered statistically significant if it falls into the 2.5 empirical distribution curve.

permutation_pc( m, p, n_group_1, n_group_2, data_group_1, data_group_2, rho_group_1_opt, rho_group_2_opt )

`m` |
This is the number of permutations. |

`p` |
This is the number of biomarker candidates. |

`n_group_1` |
This is the number of subjects in group 1. |

`n_group_2` |
This is the number of subjects in group 2. |

`data_group_1` |
This is a |

`data_group_2` |
This is a |

`rho_group_1_opt` |
This is an optimal tuning parameter to obtain a sparse differential network for group 1. |

`rho_group_2_opt` |
This is an optimal tuning parameter to obtain a sparse differential network for group 2. |

A multi-dimensional matrix that contains the permutation result.

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