Description Usage Arguments Value

A permutation test that randomly permutes the sample labels in distinct biological groups for each biomolecule. The difference in each paired biomolecule is considered significant if it falls into the 2.5 distribution curve. This function is used in non_partial_corr.R

1 2 | ```
permutation_cor(m, p, n_group_1, n_group_2, data_group_1, data_group_2,
type_of_cor)
``` |

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

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

`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 |

`type_of_cor` |
If this is NULL, pearson correlation coefficient will be calculated by default. Otherwise, a character string "spearman" will calculate the spearman correlation coefficient. |

A multi-dimensional matrix that contains the permutation results

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