Description Usage Arguments Value

View source: R/helper_function.R

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.

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 as default. Otherwise, a character string "spearman" will calculate the spearman correlation coefficient. |

A multi-dimensional matrix that contains the permutation result.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.