extract.edges

Generates edge-wise masks for calculating subject-level network strengths

Usage

extract.edges(NBS.obj, network = 1)

Arguments

NBS.obj

A list object generated from an earlier NBS() analysis

network

the network number (reported in the earlier NBS results) of the network to be masked. Set to 1 by default

Value

Returns a list object containing

• clust.tstat thresholded edge-wise t-statistics.Edges not belonging to this cluster will be zeroed.

• pos.edges A vector of 1s and 0s indicating the significant network-thresholded positive edges.

• neg.edges A vector of -1s and 0s indicating the significant network-thresholded negative edges.

• pos.mask A vector of 1s and 0s indicating the significant network-thresholded positive edges.

• neg.mask A vector of 1s and 0s indicating the significant network-thresholded negative edges.

Details

This function generates positive and negative masks (vectors of 1s and 0s), where 1s indicate a significant network-thresholded edge. These masks can then be used to perform a matrix multiplication with the vectorized FC matrices to object subject-level network strengths

Examples

if (FALSE) { # \dontrun{
extract.edges(model1,network=1)
} # }