DiagrammeR (version 1.0.10)

add_islands_graph: Create a random islands graph with edges between the islands

Description

To an existing graph object, add several Erdos-Renyi random graphs (the islands) using a common set of parameters, connected together by a fixed number of edges.

Usage

add_islands_graph(
  graph,
  n_islands,
  island_size,
  p,
  edges_between,
  type = NULL,
  label = TRUE,
  rel = NULL,
  node_aes = NULL,
  edge_aes = NULL,
  node_data = NULL,
  edge_data = NULL,
  set_seed = NULL
)

Arguments

graph

A graph object of class dgr_graph.

n_islands

The number of islands in the generated graph.

island_size

The size of the islands in the generated graph.

p

The probability of there being edges between the islands.

edges_between

The number of edges between islands.

type

An optional string that describes the entity type for all the nodes to be added.

label

A logical value where setting to TRUE ascribes node IDs to the label and FALSE yields a blank label.

rel

An optional string for providing a relationship label to all edges to be added.

node_aes

An optional list of named vectors comprising node aesthetic attributes. The helper function node_aes() is strongly recommended for use here as it contains arguments for each of the accepted node aesthetic attributes (e.g., shape, style, color, fillcolor).

edge_aes

An optional list of named vectors comprising edge aesthetic attributes. The helper function edge_aes() is strongly recommended for use here as it contains arguments for each of the accepted edge aesthetic attributes (e.g., shape, style, penwidth, color).

node_data

An optional list of named vectors comprising node data attributes. The helper function node_data() is strongly recommended for use here as it helps bind data specifically to the created nodes.

edge_data

An optional list of named vectors comprising edge data attributes. The helper function edge_data() is strongly recommended for use here as it helps bind data specifically to the created edges.

set_seed

Supplying a value sets a random seed of the Mersenne-Twister implementation.

Examples

# Create a graph of islands
islands_graph <-
  create_graph() %>%
  add_islands_graph(
    n_islands = 4,
    island_size = 10,
    p = 0.5,
    edges_between = 1,
    set_seed = 23)

# Get a count of nodes
islands_graph %>% count_nodes()

# Get a count of edges
islands_graph %>% count_edges()