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Plot Network Estimation Results

Source: R/compare_network_estimation.R
plot_network_estimation.Rd

Create publication-ready plots for network estimation comparison results. Default is a histogram optimized for high iteration counts.

Usage

plot_network_estimation(
  results,
  metric_name = "Pearson",
  plot_type = "histogram",
  show_stats = TRUE,
  bins = NULL
)

Arguments

results

A network_estimation object or data frame with individual results.

metric_name

Character. Metric to plot. Default: "Pearson".

plot_type

Character. One of "histogram" (default), "boxplot", "density", "bar", or "ridgeline".

show_stats

Logical. Show mean/median statistics. Default: TRUE.

bins

Integer. Number of bins for histogram. Default: auto-calculated based on iterations (uses Sturges' rule).

Value

A ggplot object.

Details

The histogram plot is optimized for high iteration counts (100+) and shows:

  • Turquoise bars with density overlay

  • Green vertical line for mean

  • Orange dotted line for median

  • Subtitle with exact mean and median values

Examples

if (FALSE) { # \dontrun{
results <- compare_network_estimation(group_regulation, iterations = 100)

# Default histogram
plot_network_estimation(results)

# Different metrics
plot_network_estimation(results, metric_name = "Spearman")
plot_network_estimation(results, metric_name = "Euclidean")

# Different plot types
plot_network_estimation(results, plot_type = "boxplot")
plot_network_estimation(results, plot_type = "density")
} # }