permutation_pc {INDEED} | 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 significant if it falls into the 2.5 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 |
number of permutations. |
p |
number of biomarker candidates. |
n_group_1 |
number of subjects in group 1. |
n_group_2 |
number of subjects in group 2. |
data_group_1 |
a n*p matrix or data.frame containing group 1 data. |
data_group_2 |
a n*p matrix of data.frame containing group 2 data. |
rho_group_1_opt |
optimal tuning parameter to sparse the differential network for group 1 |
rho_group_2_opt |
optimal tuning parameter to sparse the differential network for group 2 |
A multi-dimensional matrix that contains the permutation results