extract.edges.RdGenerates edge-wise masks for calculating subject-level network strengths
extract.edges(NBS.obj, network = 1)A list object generated from an earlier NBS() analysis
the network number (reported in the earlier NBS results) of the network to be masked. Set to 1 by default
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.
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
if (FALSE) {
extract.edges(model1,network=1)
}