select_coefficients: Selection of coefficients based on the outcome of...

In EBlini/FCnet: Analysis of Functional Connectivity matrices through elastic NETs

Selection of coefficients based on the outcome of permutateLOO

Description

This function assesses the original coefficients against the ones obtained from permutated samples as returned by permutateLOO() (with the parameter return_coeffs set to TRUE). It returns a vector of weights as well as a dichotomic mask reflecting which values pass a given threshold.

Usage

select_coefficients(coeffs, permutated_coeffs, threshold = 0.05)

Arguments

coeffs	Coefficients can either be passed as a list (as one created, for example, by FCnetLOO()), or as a data.frame (which must, however, have the same structure as the one returned by FCnetLOO()). This function finds consensus coefficients first trough the function specified by optionsFCnet("consensus_function"),which by default is the median.
permutated_coeffs	A list, such as an object created by permutateLOO() (with the parameter return_coeffs set to TRUE), or a data.frame (which must, however, have the same structure as the one returned by permutateLOO())
threshold	Significance threshold against which evaluate the coefficients. It is assumed to be two-tailed, and defaults to 0.05.

Value

A list with two entries: coeffs, i.e. the values of coefficients passing the statistical threshold, and mask, reporting which coefficients are retained.

EBlini/FCnet documentation built on April 13, 2022, 10:23 p.m.