make_edges: Calculate vertices for network visualisations.

In shanej90/nodemaker: Prepare data for use in network diagrams and get started with plotting

Calculate vertices for network visualisations.

Description

Calculates weightings between nodes for a network diagram.

Usage

make_edges(
  connections_data,
  node_id,
  node_number,
  connection_id,
  join_col = deparse(substitute(connection_id)),
  from_to_col = NULL,
  weight_col = NULL,
  weight_col_fun = NULL,
  ...
)

Arguments

connections_data	Dataframe detailing connections between nodes, as generated via make_connections(). This can have duplicate rows for node - connection object combinations, to account for how edge weighting should be handled.
node_id	Original ID (can be character) for each node as per source dataframe.
node_number	Numeric ID for each node - can be generated as per make_connections().
connection_id	Field to connect related nodes as per initial source data.
join_col	Column (as character string) to join connections data back onto itself. Defaults to the connection_id field.
from_to_col	Column (character string "from" or "to") use in determining which is from node and which is to node. You need to pre-define this column if you want to use the functionality. If not provided, which node is selected as from and to will depend on the node_number.
weight_col	Column used to set edge weights. If not set, a count of unique connecting objects between nodes will be used.
weight_col_fun	Function to apply to weight_col() data to get edges.
...	Additional arguments to pass to weight_col_fun().

Value

A dataframe containing details of vertices between nodes, including weights. Note this will have unique rows for each node-to-node combination.

shanej90/nodemaker documentation built on Feb. 22, 2025, 2:39 p.m.