Plot an Association Graph

Plot method for assoc_graph objects, displaying the association structure of a loglinear model as a network diagram.

Usage

# S3 method for class 'assoc_graph'
plot(
  x,
  layout = NULL,
  groups = NULL,
  colors = c("lightblue", "lightyellow", "lightgreen", "lightsalmon", "plum"),
  vertex.size = 30,
  vertex.label.cex = 1.2,
  edge.width = 2,
  edge.label = NULL,
  ...
)

Arguments

x

An assoc_graph object, as returned by assoc_graph.

layout

Layout function or coordinate matrix for node positions. Defaults to layout_in_circle for up to 6 nodes, layout_with_fr otherwise.

groups

Optional named list assigning variables to groups for coloring, e.g., list(response = "Survived", predictors = c("Class", "Sex", "Age")).

colors

Character vector of colors for groups. Recycled as needed.

vertex.size

Vertex size (default 30).

vertex.label.cex

Label size for vertex names (default 1.2).

edge.width

Edge width (default 2). If edge weights are present, widths are scaled from the weights automatically.

edge.label

Optional edge labels. If TRUE and edge weights are present, the weight values are used as labels.

...

Additional arguments passed to plot.igraph, such as main for a title.

Value

The assoc_graph object x, returned invisibly.

See also

assoc_graph, plot.igraph

Other loglinear models: assoc_graph(), get_model(), glmlist(), joint(), seq_loglm()

Examples

# Basic structural plot
g <- conditional(3, factors = c("A", "B", "C")) |> assoc_graph()
plot(g, main = "Conditional independence: [AC] [BC]")


# With grouped node colors
g <- saturated(4, factors = c("A", "B", "C", "D")) |> assoc_graph()
plot(g, groups = list(c("A", "B"), c("C", "D")),
     main = "Saturated model")