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

This function generates a random graph according to a model that
involves a latent variable. The construction is to randomly assign
members of the set `M`

to the nodes, `V`

. An edge is assigned
between two elements of `V`

when they both have the same element
of `M`

assigned to them. An object of class `graphNEL`

is
returned.

1 | ```
randomGraph(V, M, p, weights=TRUE)
``` |

`V` |
The nodes of the graph. |

`M` |
A set of values used to generate the graph. |

`p` |
A value between 0 and 1 that indicates the probability of
selecting an element of |

`weights` |
A logical indicating whether to use the number of
shared elements of |

The model is quite simple. To generate a graph, `G`

, the user
supplies the list of nodes, `V`

and a set of values `M`

which will be used to create the graph. For each node in `V`

a
logical vector with length equal to the length of `M`

is
generated. The probability of a `TRUE`

at any position is
determined by `p`

. Once valus from `M`

have been assigned to
each node in `V`

the result is processed into a graph. This is
done by creating an edge between any two elements of `V`

that
share an element of `M`

(as chosen by the selection process).

The sizes of `V`

and `M`

and the values of `p`

determine how dense the graph will be.

An object of class `graphNEL-class`

is returned.

R. Gentleman

1 2 3 4 5 6 | ```
set.seed(123)
V <- letters[1:10]
M <- 1:4
g1 <- randomGraph(V, M, 0.2)
numEdges(g1) # 16, in this case
edgeNames(g1)# "<from> ~ <to>" since undirected
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.