Select edges in a graph

Select edges from a graph object of class dgr_graph.

Usage

select_edges(
  graph,
  conditions = NULL,
  set_op = "union",
  from = NULL,
  to = NULL,
  edges = NULL
)

Arguments

graph

A graph object of class dgr_graph.

conditions

An option to use filtering conditions for the retrieval of edges.

set_op

The set operation to perform upon consecutive selections of graph nodes. This can either be as a union (the default), as an intersection of selections with intersect, or, as a difference on the previous selection, if it exists.

from

An optional vector of node IDs from which the edge is outgoing for filtering the list of edges present in the graph.

to

An optional vector of node IDs to which the edge is incoming for filtering the list of edges present in the graph.

edges

An optional vector of edge IDs for filtering the list of edges present in the graph.

Value

A graph object of class dgr_graph.

Examples

# Create a node data frame (ndf)
ndf <-
  create_node_df(
    n = 4,
    type = "basic",
    label = TRUE,
    value = c(3.5, 2.6, 9.4, 2.7))

# Create an edge data frame (edf)
edf <-
  create_edge_df(
    from = c(1, 2, 3),
    to = c(4, 3, 1),
    rel = c("a", "z", "a"),
    value = c(6.4, 2.9, 5.0))

# Create a graph with the ndf and edf
graph <-
  create_graph(
    nodes_df = ndf,
    edges_df = edf)

# Explicitly select the edge `1`->`4`
graph <-
  graph %>%
  select_edges(
    from = 1,
    to = 4)

# Verify that an edge selection has been made
# using the `get_selection()` function
graph %>% get_selection()
#> [1] 1

# Select edges based on the relationship label
# being `z`
graph <-
  graph %>%
  clear_selection() %>%
  select_edges(
    conditions = rel == "z")

# Verify that an edge selection has been made, and
# recall that the `2`->`3` edge uniquely has the
# `z` relationship label
graph %>% get_selection()
#> [1] 2

# Select edges based on the edge value attribute
# being greater than 3.0 (first clearing the current
# selection of edges)
graph <-
  graph %>%
  clear_selection() %>%
  select_edges(
    conditions = value > 3.0)

# Verify that the correct edge selection has been
# made; in this case, edges `1`->`4` and
# `3`->`1` have values for `value` > 3.0
graph %>% get_selection()
#> [1] 1 3