Visualization Functions for Mills Ratio Analysis — plot_mills

Functions to create static and interactive visualizations of Mills ratios, supporting both ggplot2 and plotly outputs.

Usage

plot_mills_curves(
  data,
  log_y = FALSE,
  log_x = FALSE,
  interactive = FALSE,
  title = "Mills Ratio Comparison",
  show_asymptotic = TRUE
)

Arguments

data: Data frame from simulate_mills_curves()
log_y: Logical; if TRUE, uses log scale for y-axis
log_x: Logical; if TRUE, uses log scale for x-axis
interactive: Logical; if TRUE, returns plotly object
title: Plot title
show_asymptotic: Logical; if TRUE, shows asymptotic approximations

Value

ggplot2 or plotly object

Author

John Gavin john.b.gavin@gmail.com Plot Mills Ratio Curves

Examples

# Generate and plot Mills ratio curves
curves <- simulate_mills_curves(distributions = c("normal", "t30", "exponential"))
plot_mills_curves(curves, log_y = TRUE)