Creating ggplot2 Extensions: A Developer's Guide

Introduction

ggplot2's extensible architecture allows developers to create custom visualization components. This guide walks through the process of building your own extensions.

Creating a Custom Geom

StatChord <- ggproto("StatChord", Stat,
  compute_group = function(data, scales) {
    # Custom computation logic
    return(transformed_data)
  }
)

geom_chord <- function(mapping = NULL, data = NULL, ...) {
  layer(
    stat = StatChord,
    geom = GeomCurve,
    data = data,
    mapping = mapping,
    ...
  )
}

Testing Extensions

Robust testing ensures your extension works reliably across different scenarios and data structures.

Resources

• Official Extension Guide
• Tidyverse Documentation