Learn R Programming

GraphAT (version 1.44.0)

perms: Randomly permute edges or node labels in a graph

Description

Given an adjacency matrix for a graph, permEdgesM2M will return an adjacency matrix after an Erdos-Renyi random permutation of the edges in the graph. perNodesM2M will return an adjacency matrix for a graph with identical structure, but with the node labels permuted.

Usage

permEdgesM2M(mat) permNodesM2M(mat)

Arguments

mat
A square adjacency matrix for a graph.

Value

A square adjacency matrix for the new graph, subject to a random permutation of the edges or nodes.

References

Balasubramanian, et al. (2004) A graph theoretic approach to integromics - integrating disparate sources of functional genomics data.

See Also

permPower

Examples

Run this code
g <- matrix(c(0,1,1,1,1,0,0,0,1,0,0,0,1,0,0,0),nrow=4)

g1 <- permEdgesM2M(g)
g2 <- permNodesM2M(g)

Run the code above in your browser using DataLab