plot_sample_size_EGA_montecarlo: Plot Monte Carlo EGA Sample Size Results

In InterconectaR: Psychological Network Analysis and Psychometric Insights

Plot Monte Carlo EGA Sample Size Results

Description

Creates a visual summary of the output from sample_size_EGA_montecarlo(). The plot shows selected performance metrics across candidate sample sizes, target criteria, and the recommended sample size when one is available. Optionally adds 95 percent Monte Carlo uncertainty ribbons for ARI and edge correlation.

Usage

plot_sample_size_EGA_montecarlo(
  x,
  metrics = c("p_dimensions", "median_ari", "median_edge_correlation",
    "median_sensitivity", "median_specificity", "median_precision", "median_fdr"),
  show_criteria = TRUE,
  show_recommended = TRUE,
  show_uncertainty = TRUE,
  point_size = 2.4,
  line_width = 0.8,
  ...
)

Arguments

x	Object returned by sample_size_EGA_montecarlo().
metrics	Character vector with summary metrics to plot. Defaults to the main recovery metrics bounded between 0 and 1.
show_criteria	Logical; draw horizontal target lines when criteria are available.
show_recommended	Logical; draw a vertical line at the recommended sample size when available.
show_uncertainty	Logical; draw 95 percent Monte Carlo bands when the relevant quantile columns are present in x$summary.
point_size	Numeric point size.
line_width	Numeric line width.
...	Ignored. Included for compatibility with plot().

Value

A ggplot object.

Examples

res <- sample_size_EGA_montecarlo(
  community_sizes = c(4, 4), within_edge = 0.20,
  sample_sizes = c(100, 200, 400), n_rep = 10,
  data_type = "continuous", seed = 1, verbose = FALSE,
  control = list(boots = 100, corr = "pearson", algorithm = "walktrap")
)
plot_sample_size_EGA_montecarlo(res)

InterconectaR documentation built on Oct. 16, 2026, 1:06 a.m.