View source: R/plot-mixed-network.R
| plot_mixed_network | R Documentation |
Plot a network combining symmetric (undirected) and asymmetric (directed) matrices with appropriate edge styling.
Creates a network visualization combining edges from a symmetric matrix (rendered as straight undirected edges) and an asymmetric matrix (rendered as curved directed edges).
plot_mixed_network(
sym_matrix,
asym_matrix,
layout = "oval",
sym_color = "ivory4",
asym_color = COGRAPH_SCALE$tna_edge_color,
curvature = 0.3,
edge_width = NULL,
node_size = 7,
title = NULL,
threshold = 0,
edge_labels = TRUE,
arrow_size = 0.61,
edge_label_size = 0.6,
edge_label_position = 0.7,
initial = NULL,
...
)
sym_matrix |
A symmetric matrix representing undirected relationships. These edges will be drawn straight without arrows. |
asym_matrix |
An asymmetric matrix representing directed relationships. These edges will be drawn curved with arrows. Reciprocal edges curve in opposite directions. |
layout |
Layout algorithm or coordinate matrix. Default "oval". |
sym_color |
Color for symmetric/undirected edges. Default "#457B9D" (steel blue). |
asym_color |
Color for asymmetric/directed edges. Can be a single color or a vector of two colors for positive/negative directions. Default "#003355" (dark blue, matching TNA style). |
curvature |
Curvature magnitude for directed edges. Default 0.3. |
edge_width |
Edge width(s). If NULL (default), scales automatically by edge weight like TNA plots. Pass a numeric value to override. |
node_size |
Node size. Default 7. |
title |
Plot title. Default NULL. |
threshold |
Minimum absolute edge weight to display. Values with
|
edge_labels |
Show edge weight labels. Default TRUE. |
arrow_size |
Arrow head size for directed edges. Default 0.61 (TNA style). |
edge_label_size |
Size of edge labels. Default 0.6. |
edge_label_position |
Position of edge labels along edge (0-1). Default 0.7. |
initial |
Optional named numeric vector of initial state probabilities (length = number of nodes). When provided, nodes are drawn as donuts with the fill proportion equal to the initial probability. Default NULL. |
... |
Additional arguments passed to splot(). |
Invisibly returns the combined cograph_network object.
# Create symmetric matrix (undirected)
sym <- matrix(0, 4, 4, dimnames = list(LETTERS[1:4], LETTERS[1:4]))
sym[1,2] <- sym[2,1] <- 0.5
sym[3,4] <- sym[4,3] <- 0.6
# Create asymmetric matrix (directed)
asym <- matrix(0, 4, 4, dimnames = list(LETTERS[1:4], LETTERS[1:4]))
asym[1,3] <- 0.7
asym[3,1] <- 0.3
asym[2,4] <- 0.8
asym[4,2] <- 0.4
# Plot combined network
plot_mixed_network(sym, asym, title = "Mixed Network")
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