Create a choropleth map of Gender Disparity Ratio

Usage

plot_gdr_map(
  data,
  years = NULL,
  breaks = c(0, 0.5, 0.95, 1.05, 2, Inf),
  labels = c("< 0.5", "[0.5, 0.95)", "[0.95, 1.05]", "(1.05, 2.0]", "> 2.0"),
  colors = c("#878787", "#b7b7b7", "#64c2a5", "#b1abd0", "#7f74ac"),
  title = NULL,
  legend_title = "Age-standardized GDR"
)

Arguments

data: A data.frame with at least: iso3, gdr, and optionally year. Use merge_location_type() to add iso3 to qci_gdr() output.
years: Integer vector. Default NULL (all).
breaks: Numeric vector of GDR breakpoints. Default c(0, 0.5, 0.95, 1.05, 2.0, Inf).
labels: Character vector of labels for GDR bins. Default c("< 0.5", "[0.5, 0.95)", "[0.95, 1.05]", "(1.05, 2.0]", "> 2.0").
colors: Character vector of 5 colors. Default grey-to-purple scale.
title: Character. Default NULL (auto-generated).
legend_title: Character. Default "Age-standardized GDR".

Value

A ggplot2 object.

Examples

if (FALSE) { # \dontrun{
result <- qci_pipeline(sample_gbd)
gdr <- qci_gdr(result$wide)
gdr_map <- merge_location_type(gdr)
plot_gdr_map(gdr_map, years = c(1990, 2019))
} # }