apply_thresholds: Threshold additional set of matrices

In brainGraph: Graph Theory Analysis of Brain MRI Data

Description

apply_thresholds thresholds an additional set of matrices (e.g., FA-weighted matrices for DTI tractography) based on the matrices that have been returned from create_mats. This ensures that the same connections are present in both sets of matrices.

Usage

apply_thresholds(sub.mats, group.mats, W.files, inds)

Arguments

sub.mats	List (length equal to number of thresholds) of numeric arrays (3-dim) for all subjects
group.mats	List (equal to number of thresholds) of lists (equal to number of groups) of numeric matrices for group-level data
W.files	Character vector of the filenames of the files with connectivity matrices
inds	List (length equal to number of groups) of integers; each list element should be a vector of length equal to the group sizes

Details

The argument W.files accepts the same formats as A.files; see create_mats for details.

Value

List containing:

W	A 3-d array of the raw connection matrices
W.norm.sub	List of 3-d arrays of the normalized connection matrices for all given thresholds
W.norm.mean	List of lists of numeric matrices averaged for each group

Author(s)

Christopher G. Watson, [e-mail]

Examples

## Not run: 
  W.mats <- apply_thresholds(A.norm.sub, A.norm.mean, f.W, inds)

## End(Not run)

brainGraph documentation built on Oct. 23, 2020, 6:37 p.m.