sim.rand.graph.par: Simulate N random graphs w/ same clustering and degree...

Description Usage Arguments Value See Also Examples

View source: R/sim_rand_graph_par.R

Description

This function will simulate N simple random graphs with the same clustering and degree sequence as the input. Essentially a wrapper for sim.rand.graph.clust and set_brainGraph_attr. It uses foreach to speed it up. If you do not want to match by clustering, then it will do a simple rewiring of the given graph (the number of rewire's equaling the larger of 1e4 and 10 * number of edges).

Usage

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sim.rand.graph.par(g, N, clustering = TRUE, ...)

Arguments

g

An igraph graph object

N

Integer; the number of random graphs to simulate

clustering

Logical; whether or not to control for clustering (default: TRUE

...

Other parameters (passed to sim.rand.graph.clust)

Value

A list of N random graphs with vertex and graph attributes

See Also

sim.rand.graph.clust, rewire, sample_degseq, keeping_degseq

Examples

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## Not run: 
rand1 <- sim.rand.graph.par(g[[1]][[N]], N=1e3, clustering=F)
rand1.cl <- sim.rand.graph.par(g[[1]][[N]], N=1e2, max.iters=1e3)

## End(Not run)

brainGraph documentation built on May 30, 2017, 1:34 a.m.

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