Create plots for SRM actor, dyadic, partner effects

Visualizes SRM effects computed by srm_effects(). Actor and partner effects produce horizontal bar charts sorted by absolute magnitude (dark bars = positive, gray bars = negative). Unique (dyadic) effects produce a heatmap on a diverging color scale: blue cells indicate weaker-than-expected ties, white cells are close to predicted, and dark cells indicate stronger-than-expected ties.

Usage

srm_plot(
  mat,
  type = c("actor", "partner", "dyadic"),
  n = 10,
  time = NULL,
  facet = FALSE
)

Arguments

mat: An effect matrix or list of effect matrices from srm_effects(). Must not be an srm object.
type: One of "actor", "partner", or "dyadic". For bipartite networks, "dyadic" selects top rows and columns independently.
n: Maximum number of actors/partners to display, selected by absolute magnitude (default 10).
time: Optional character vector of time-point names to subset when mat is a named list.
facet: If TRUE and mat is a list, facet actor/partner plots across time. Dyadic heatmaps are returned as separate plots instead.

Value

A ggplot object, or a list of ggplot objects for unfaceted longitudinal input.

Details

For the unified interface (plot directly from an srm object), use plot.srm() instead.

Examples

# actor effect bar plot
data(classroom)
actor_eff = srm_effects(classroom, type = "actor")
srm_plot(actor_eff, type = "actor", n = 8)


# dyadic heatmap
unique_eff = srm_effects(classroom, type = "unique")
srm_plot(unique_eff, type = "dyadic", n = 8)