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Reverse Edge Direction

Source: R/wrangle-structure.R
reverse_edges.Rd

Swaps the endpoints of every edge, which transposes the weight matrix. In a transition network the reversed arcs show where each transition came from. Additional edge columns are kept.

Usage

reverse_edges(x, keep_format = FALSE, directed = NULL)

Arguments

x

Network input.

keep_format

Logical. If TRUE, a matrix, igraph, statnet network or tna input is returned in its own format. An edge-list data frame or a qgraph object is returned as a cograph_network with a cograph_no_format_roundtrip warning. Default FALSE returns a cograph_network.

directed

Logical or NULL. Directedness used to read the input. NULL (default) detects it from the input.

Value

A cograph_network with every edge reversed, or the input format when keep_format = TRUE. An undirected network is returned unchanged, with a cograph_no_effect warning.

See also

to_directed, to_undirected

Examples

reverse_edges(regulation_net)
#> Cograph network: 10 nodes, 30 edges ( directed )
#> Source: matrix 
#>   Nodes (10): Explore, Plan, Monitor, Adapt, Reflect, Discuss, ... +4 more
#>   Edges: 30 / 90 (density: 33.3%)
#>   Weights: [0.050, 0.490]  |  mean: 0.265
#>   Strongest edges:
#>     Evaluate -> Plan  0.490
#>     Monitor -> Share  0.490
#>     Adapt -> Evaluate  0.430
#>     Reflect -> Synthesize  0.420
#>     Discuss -> Plan  0.400
#> Layout: none 
#>   Use as.data.frame() for the edge table, as.data.frame(what = "nodes") for the nodes.