# hadley/adv-r

Advanced R: a book

Repository: https://github.com/hadley/adv-r
Canonical: https://ross.abutalabs.com/products/adv-r
Homepage: http://adv-r.hadley.nz
Language: TeX
License: NOASSERTION
License Family: other
Topics: book, r, programming, bookdown
Last push: 2025-03-13T02:10:32+00:00

## Health v2 (maintenance only)
Score: 28/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 11, release rhythm 8, longevity 100
- inputs: {"age_days": 4761, "days_push": 539, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2457, forks 1691 (observed 2026-08-28T04:06:53.253921+00:00)

## What it is
The source for 'Advanced R', an open-access book by Hadley Wickham teaching advanced R programming concepts, built with bookdown. It covers language internals like environments, closures, metaprogramming, and performance for R users and programmers coming from other languages.

## Use cases
- learn advanced R programming
- understand R environments and closures
- learn R metaprogramming
- improve R coding skills
- understand why R works the way it does
- free online R book for experienced programmers

## When to choose
- you already know R basics and want deeper language understanding
- you want a free, authoritative reference on R internals
- you're transitioning to R from another language

## When to avoid
- you're a complete beginner learning R from scratch
- you need a data science workflow tutorial rather than language internals
- you need a printed reference with no internet access

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: programming-languages, tutorials, data-science
- platform: -
- tags: r-language, bookdown, open-textbook, advanced-programming, r

## Member repositories
- hadley/adv-r (main) score 28

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:53.253921+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:30:01.915324+00:00, confidence not recorded.
  - readme: https://github.com/hadley/adv-r (fetched 2026-08-28T04:06:53.253921+00:00, sha 31fda3c82d70)
  - homepage: http://adv-r.hadley.nz (fetched 2026-08-29T10:11:10.511383+00:00, sha 9a5959a08bb2)
- Data as of 2026-08-30T08:39:29.467469+00:00.