Split main figure into three panels by data availability — plot_main_figure

Calls plot_main_figure() three times — once per pathogen group — and assembles the results into a single vertically-stacked figure labelled A, B, and C.

Usage

plot_main_figure_split(
  all_results,
  group_a = c("SARS", "COVID_19", "Flu", "Measles"),
  group_b = c("Nipah", "EVD", "MERS", "CCHF", "Cholera", "Typhoid", "Dengue", "YFV",
    "Mpox", "Smallpox"),
  group_c = c("MVD", "Lassa", "Zika", "RVF"),
  panel_labels = c("A", "B", "C"),
  model_weights = NULL,
  ncol = 4L,
  ...
)

Arguments

all_results: Nested results list (same as plot_main_figure()).
group_a: Character vector of pathogen keys for panel A (high data).
group_b: Character vector of pathogen keys for panel B (moderate data).
group_c: Character vector of pathogen keys for panel C (low data).
panel_labels: Length-3 character vector of panel labels.
model_weights: Pre-computed model weights from compute_pathogen_model_bayes_factors(). If NULL, computed once and shared across all three panels.
ncol: Number of columns within each panel group.
...: Additional arguments forwarded to plot_main_figure().

Value

A patchwork figure.