Faithful GIMME network plot (the gimme-package convention, via cograph)

Draws a GIMME result the way the gimme package does: a single p-node network where dashed edges are lag-1 (temporal) and solid edges are lag-0 (contemporaneous), edge width is the proportion of subjects that have the path, black edges are group-level paths and grey edges individual-level, and autoregression shows as a dashed self-loop. Rendered with cograph::splot(), so a lag and a contemporaneous effect between the same pair are drawn as two parallel edges.

Usage

plot_gimme(
  x,
  weight = c("prop", "coef"),
  group_color = "black",
  individual_color = "grey60",
  layout = "circle",
  curvature = 0.25,
  edge_scale = 5,
  ...
)

Arguments

x

A net_gimme object from fit_gimme().

weight

"prop" (default, proportion of subjects) or "coef" (group-average standardized coefficient) for edge width.

group_color, individual_color

Edge colours for group- vs individual-level paths. Defaults "black" / "grey60".

layout

cograph layout passed to cograph::splot(). Default "circle", matching gimme.

curvature

Edge curvature (separates parallel lag/contemp edges). Default 0.25.

edge_scale

Multiplier mapping weight to drawn line width. Default 5.

...

Further arguments forwarded to cograph::splot().

Value

Invisibly, the mixed cograph_network object that was plotted.

See also

as_netobject() for the matrix view.

Examples

# \donttest{
set.seed(1)
panel <- data.frame(
  id = rep(1:5, each = 30),
  t  = rep(seq_len(30), 5),
  A  = rnorm(150), B = rnorm(150), C = rnorm(150)
)
gm <- fit_gimme(panel, vars = c("A", "B", "C"), id = "id", time = "t")
plot_gimme(gm)

# }