Plot Sampling Distribution for a Single Metric

Create a visualization showing the distribution of a single metric's values across all sampling iterations.

Usage

plot_sampling_distribution(individual_results, category, metric)

Arguments

individual_results

Data frame of raw metric values from iterations, as returned by run_sampling_analysis() or compare_tna_models().

category

The category of the metric to plot (e.g., "Correlations").

metric

The specific metric name to plot (e.g., "Pearson").

Value

A ggplot object showing the distribution.

Examples

if (FALSE) { # \dontrun{
library(tna)
model <- tna(group_regulation)
results <- run_sampling_analysis(model, iterations = 100)

# Plot Pearson correlation distribution
plot_sampling_distribution(
  results$individual,
  category = "Correlations",
  metric = "Pearson"
)
} # }