Scatter plot of Male vs Female QCI by region

Creates a scatter plot with Male QCI on x-axis and Female QCI on y-axis, colored by region or custom grouping. Includes a diagonal reference line (y = x).

Usage

plot_qci_scatter(
  data,
  score_var = "qci_score",
  year,
  age = "Age-standardized",
  color_by = NULL,
  point_size = 2,
  show_diagonal = TRUE
)

Arguments

data: A data.frame with columns: location_name, qci_score (or column specified by score_var), sex_name, year, age_name. Should include both Male and Female rows.
score_var: Character. Column name for the score. Default "qci_score".
year: Integer. Single year to plot. Required.
age: Character. Default "Age-standardized".
color_by: Character. Column name to color points by (e.g., "type"). Default NULL (no color grouping).
point_size: Numeric. Point size. Default 2.
show_diagonal: Logical. Show y = x line. Default TRUE.

Value

A ggplot2 object.

Examples

if (FALSE) { # \dontrun{
result <- qci_pipeline(sample_gbd)
map_data <- merge_location_type(result$wide)
plot_qci_scatter(map_data, year = 2019, color_by = "type")
} # }