plot_mtna: Multi-Cluster TNA Network Plot

Description

Visualizes multiple network clusters with summary edges between clusters and individual edges within clusters. Each cluster is displayed as a shape (circle, square, diamond, triangle) containing its nodes.

Usage

plot_mtna(
  x,
  cluster_list,
  layout = "circle",
  spacing = 3,
  shape_size = 1.2,
  node_spacing = 0.5,
  colors = NULL,
  shapes = NULL,
  edge_colors = NULL,
  bundle_edges = TRUE,
  bundle_strength = 0.8,
  summary_edges = TRUE,
  within_edges = TRUE,
  show_border = TRUE,
  legend = TRUE,
  legend_position = "topright",
  curvature = 0.3,
  node_size = 2,
  scale = 1,
  ...
)
mtna(
  x,
  cluster_list,
  layout = "circle",
  spacing = 3,
  shape_size = 1.2,
  node_spacing = 0.5,
  colors = NULL,
  shapes = NULL,
  edge_colors = NULL,
  bundle_edges = TRUE,
  bundle_strength = 0.8,
  summary_edges = TRUE,
  within_edges = TRUE,
  show_border = TRUE,
  legend = TRUE,
  legend_position = "topright",
  curvature = 0.3,
  node_size = 2,
  scale = 1,
  ...
)

Value

Invisibly returns NULL for summary mode, or the plot_tna result.

Arguments

x: A tna object or weight matrix.
cluster_list: List of character vectors defining clusters. Each cluster becomes a separate shape in the layout.
layout: How to arrange the clusters: "circle" (default), "grid", "horizontal", "vertical".
spacing: Distance between cluster centers. Default 3.
shape_size: Size of each cluster shape (shell radius). Default 1.2.
node_spacing: Radius for node placement within shapes (0-1 relative to shape_size). Default 0.5.
colors: Vector of colors for each cluster. Default auto-generated.
shapes: Vector of shapes for each cluster: "circle", "square", "diamond", "triangle". Default cycles through these.
edge_colors: Vector of edge colors by source cluster. Default auto-generated.
bundle_edges: Logical. Bundle inter-cluster edges through channels. Default TRUE.
bundle_strength: How tightly to bundle edges (0-1). Default 0.8.
summary_edges: Logical. Show aggregated summary edges between clusters instead of individual node edges. Default TRUE.
within_edges: Logical. When summary_edges is TRUE, also show individual edges within each cluster. Default TRUE.
show_border: Logical. Draw a border around each cluster. Default TRUE.
legend: Logical. Whether to show legend. Default TRUE.
legend_position: Position for legend. Default "topright".
curvature: Edge curvature. Default 0.3.
node_size: Size of nodes inside shapes. Default 2.
scale: Scaling factor for high resolution plotting.
...: Additional parameters passed to plot_tna().

Examples

Run this code

# Create network with 4 clusters
nodes <- paste0("N", 1:20)
m <- matrix(runif(400, 0, 0.3), 20, 20)
diag(m) <- 0
colnames(m) <- rownames(m) <- nodes

clusters <- list(
  North = paste0("N", 1:5),
  East = paste0("N", 6:10),
  South = paste0("N", 11:15),
  West = paste0("N", 16:20)
)

# Summary edges between clusters + individual edges within
plot_mtna(m, clusters, summary_edges = TRUE)

# Control spacing and sizes
plot_mtna(m, clusters, spacing = 4, shape_size = 1.5, node_spacing = 0.6)

Run the code above in your browser using DataLab