randomEGraph: Random Edge Graph
In graph: graph: A package to handle graph data structures

Description Usage Arguments Details Value Author(s) See Also Examples

A function to create random graphs according to a random edge model. The user supplies the set of nodes for the graph as V and either a probability, p, that is used for each edge or the number of edges, edges they want to have in the resulting graph.

1	randomEGraph(V, p, edges)

`V`	The nodes for the graph.
`p`	The probability of an edge being selected.
`edges`	The number of edges wanted.

The user must specify the set of nodes and either a probability for edge selection or the number of edges wanted, but not both. Let nV denote the number of nodes. There are choose(nV, 2) edges in the complete graph. If p is specified then a biased coin (probability of heads being p) is tossed for each edge and if it is heads that edge is selected. If edges is specified then that many edges are sampled without replacement from the set of possible edges.

An object of class graphNEL-class that contains the nodes and edges.

R. Gentleman

randomGraph

  set.seed(123)
  V <- letters[14:22]
  g1 <- randomEGraph(V, .2)

  g2 <- randomEGraph(V, edges=30)

Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colMeans, colSums, colnames,
    dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
    intersect, is.unsorted, lapply, lengths, mapply, match, mget,
    order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
    rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
    union, unique, unsplit, which, which.max, which.min