build_pr_distribution_chapters: Build a faceted PR distribution - one small histogram per...

In syrona: Stratified Prevalence Comparison Across OMOP CDM Datasets

Build a faceted PR distribution - one small histogram per chapter

Description

Interactive (ggiraph): clicking a chapter facet returns its chapter_id.

Usage

build_pr_distribution_chapters(
  data,
  d1_name,
  d2_name,
  scale_mode = "fold",
  fold_thresh = FOLD_THRESHOLD,
  domain_label = "conditions"
)

Arguments

data	Filtered meta_summary joined with chapters (one row per concept x chapter). Expected columns: log2_pr, fold_diff, sig, concept_id, chapter_name, chapter_id.
d1_name	Name of reference dataset.
d2_name	Name of comparison dataset.
scale_mode	"fold" or "log2".
fold_thresh	Fold difference threshold.
domain_label	Label for domain.

Value

A girafe object. Selection data_id = chapter_id (character).

syrona documentation built on Sept. 5, 2026, 1:06 a.m.