permutation_pc: Permutations to build differential network using partial...

In kg737/INDEED_Patch: Integrated Differential Expression and Differential Network Analysis (INDEED)

Description

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

Usage

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

Arguments

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 n*p matrix or data.frame containing group 1 data.
data_group_2	This is a n*p matrix of data.frame containing group 2 data.
rho_group_1_opt	This is an optimal tuning parameter to sparse the differential network for group 1
rho_group_2_opt	This is an optimal tuning parameter to sparse the differential network for group 2

Value

A multi-dimensional matrix that contains the permutation results

kg737/INDEED_Patch documentation built on May 22, 2019, 6:32 p.m.