edgerep: Edge Replication

In NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis

Description

Computes the number of edges that replicate between two cross-sectional networks

Usage

edgerep(A, B, corr = c("pearson", "spearman", "kendall"))

Arguments

A	An adjacency matrix of network A
B	An adjacency matrix of network B
corr	Correlation method for assessing the relationship between the replicated edge weights. Defaults to "pearson". Set to "spearman" for non-linear or monotonic associations. Set to "kendall" for rank-order correlations

Value

Returns a list containing:

replicatedEdges	The edges that replicated and their weights
replicated	Number of edges that replicated
meanDiff	The average edge weight difference between the edges that replicated
sdDiff	The standard deviation edge weight difference between the edges that replicated
cor	The correlation between the edges that replicated

Lists for each network contain:

totalEdges	Total possible number of edges to be replicated
percentage	Percentage of edges that replicated relative to total possible
density	The density of the network

Author(s)

Alexander Christensen <[e-mail]>

Examples

# normal set to FALSE for CRAN tests
tmfg <- TMFG(neoOpen, normal = FALSE)$A

# normal set to FALSE for CRAN tests
mast <- MaST(neoOpen, normal = FALSE)

edges <- edgerep(tmfg, mast)

NetworkToolbox documentation built on May 28, 2021, 5:11 p.m.