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.

## 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
```