Changes the order in which the nodes are stored, which is the order in which plotting functions place them. The edges and their weights are unchanged.
Arguments
- x
Network input.
- order
Node labels or indices, in the wanted order, or one of
"label","degree"or"strength"."label"sorts alphabetically, and the two measures sort in decreasing order. A vector that does not name every node exactly once raises acograph_bad_selectionerror.- 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_networkwith acograph_no_format_roundtripwarning. Default FALSE returns acograph_network.- directed
Logical or NULL. Directedness used to read the input. NULL (default) detects it from the input.
Value
A cograph_network with the nodes in the requested order and
edge indices remapped, or the input format when keep_format = TRUE.
Examples
reorder_nodes(regulation_net, order = "degree")
#> Cograph network: 10 nodes, 30 edges ( directed )
#> Source: matrix
#> Nodes (10): Monitor, Plan, Create, Explore, Adapt, Reflect, ... +4 more
#> Edges: 30 / 90 (density: 33.3%)
#> Weights: [0.050, 0.490] | mean: 0.265
#> Strongest edges:
#> Share -> Monitor 0.490
#> Plan -> Evaluate 0.490
#> Evaluate -> Adapt 0.430
#> Synthesize -> Reflect 0.420
#> Plan -> Discuss 0.400
#> Layout: none
#> Use as.data.frame() for the edge table, as.data.frame(what = "nodes") for the nodes.
