View source: R/helper_function.R

permutation_cor | R Documentation |

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

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. |

`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 |

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

A multi-dimensional matrix that contains the permutation result.

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