Create summary plot for cross-validation heterogeneity results — margot_plot_cv_summary • margot

Creates a summary bar plot showing the proportion of significant models and their distribution across positive/negative effects.

Usage

margot_plot_cv_summary(
  cv_results,
  title = NULL,
  positive_color = "#4CAF50",
  negative_color = "#F44336",
  neutral_color = "#9E9E9E"
)

Arguments

cv_results: A margot_cv_results object from margot_rate_cv()
title: Character string for the plot title. Default generates based on results.
positive_color: Color for positive effects. Default "#4CAF50" (green).
negative_color: Color for negative effects. Default "#F44336" (red).
neutral_color: Color for non-significant effects. Default "#9E9E9E" (gray).

Value

A ggplot object