add_gnm_graph {DiagrammeR} | R Documentation |
To an existing
graph object, add a graph built
according to the Erdos-Renyi
G(n, m) model. This uses the
same constant probability when
creating the fixed number of
edges. Thus for n
nodes
there will be m
edges and,
if the loops
argument is
set as TRUE
, then random
loop edges will be part of
m
.
add_gnm_graph(graph, n, m, loops = FALSE, type = NULL, label = TRUE, rel = NULL, node_aes = NULL, edge_aes = NULL, node_data = NULL, edge_data = NULL, set_seed = NULL)
graph |
a graph object of
class |
n |
the number of nodes comprising the generated graph. |
m |
the number of edges in the generated graph. |
loops |
a logical value
(default is |
type |
an optional string that describes the entity type for all the nodes to be added. |
label |
a boolean value where
setting to |
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 |
edge_aes |
an optional list
of named vectors comprising edge
aesthetic attributes. The helper
function |
node_data |
an optional list
of named vectors comprising node
data attributes. The helper
function |
edge_data |
an optional list
of named vectors comprising edge
data attributes. The helper function
|
set_seed |
supplying a
value sets a random seed of the
|
# Create an undirected GNM # graph with 100 nodes and # 120 edges gnm_graph <- create_graph( directed = FALSE) %>% add_gnm_graph( n = 100, m = 120) # Get a count of nodes gnm_graph %>% count_nodes() # Get a count of edges gnm_graph %>% count_edges()