plot_hcru: plot_hcru

In hcruR: Estimate, Compare, and Visualize Healthcare Resource Utilization for Real-World Evidence

plot_hcru

Description

This function provides the visualization of the events of the settings grouped by cohort and time window.

Usage

plot_hcru(
  summary_df,
  x_var = "time_window",
  y_var = "Cost",
  cohort_col = "cohort",
  facet_var = "care_setting",
  facet_var_n = 3,
  title = "Average total cost by domain and cohort",
  x_label = "Healthcare Setting (Domain)",
  y_label = "Average total cost",
  fill_label = "Cohort"
)

Arguments

summary_df	Output from estimate_hcru()
x_var	A character specifying column name to be plotted on x-axis
y_var	A character specifying column name to be plotted on y-axis
cohort_col	A character specifying cohort column name
facet_var	A character specifying column name to generate faceted plots
facet_var_n	A numeric specifying number of columns for facet output
title	A character specifying the plot title
x_label	A character specifying x-axis label
y_label	A character specifying y-axis label
fill_label	A character specifying fill legend label

Details

Plot HCRU Event Summary

Value

ggplot object

Examples

df <- data.frame(
  time_window = rep(c("Pre", "Post"), each = 2),
  cohort = rep(c("A", "B"), 2),
  care_setting = rep("Setting1", 4),
  Cost = c(100, 120, 110, 130)
)
plot_hcru(
  summary_df = df,
  x_var = "time_window",
  y_var = "Cost",
  cohort_col = "cohort",
  facet_var = "care_setting",
  facet_var_n = 1,
  title = "Example Plot",
  x_label = "Time Window",
  y_label = "Cost",
  fill_label = "Cohort"
)

hcruR documentation built on Sept. 2, 2025, 1:09 a.m.