Plot Prevalence Over Time

Create a ggplot2 visualization of prevalence over time. This is the recommended plotting function for R users, providing native R graphics that integrate with the R ecosystem (RStudio plots pane, R Markdown, etc.).

This function provides equivalent functionality to the Python minte.create_scenario_plots() function but uses ggplot2 instead of matplotlib.

Usage

plot_prevalence(results, scenarios = NULL, title = "Prevalence Over Time")

Arguments

results

A minter_results object or data frame with prevalence data.

scenarios

Character vector. Which scenarios to plot. If NULL, plot all.

title

Character. Plot title.

Value

A ggplot2 object that can be printed, saved with ggsave(), or further customized with ggplot2 functions.

See also

• plot_cases() for plotting clinical cases

• create_scenario_plots_mpl() for Python/matplotlib plotting (saves to files)

Examples

if (FALSE) { # \dontrun{
results <- run_minter_scenarios(...)

# Basic plot
p <- plot_prevalence(results)
print(p)

# Filter to specific scenarios
p <- plot_prevalence(results, scenarios = c("scenario_1", "scenario_2"))

# Customize with ggplot2
p <- plot_prevalence(results) +
  ggplot2::theme_bw() +
  ggplot2::scale_color_brewer(palette = "Set1")

# Save to file
ggplot2::ggsave("prevalence.png", p, width = 10, height = 6)
} # }