# matloff/fasteR

Fast Lane to Learning R!

Repository: https://github.com/matloff/fasteR
Canonical: https://ross.abutalabs.com/products/matloff-faster
Language: R
License Family: other
Last push: 2026-01-03T03:37:28+00:00

## Health v2 (maintenance only)
Score: 59/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 60, release rhythm 35, longevity 100
- inputs: {"age_days": 2684, "days_push": 242, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1156, forks 192 (observed 2026-08-28T04:03:48.126762+00:00)

## What it is
fasteR is a free online tutorial by Prof. Norm Matloff that teaches the R programming language to complete beginners, including nonprogrammers. It focuses on quickly becoming productive in base R for real-world data analysis through conversational, hands-on lessons.

## Use cases
- learn R from scratch with no programming background
- quickly become productive in R for data analysis
- find a beginner-friendly alternative to RStudio-heavy R courses
- learn base R without the Tidyverse
- practice R with real datasets and exercises

## When to choose
- you are a nonprogrammer or R beginner wanting a fast, practical introduction
- you prefer learning base R over the Tidyverse ecosystem
- you want lesson-driven, example-based learning with real data

## When to avoid
- you are an experienced programmer seeking advanced or reference material
- you specifically want to learn the Tidyverse or RStudio workflows
- you need a structured course with certification or instructor support

## Facets
- artifact type: learning-resource
- maturity: active
- function: data-science
- domain: data-science, tutorials, education
- platform: cross-platform
- tags: r-language, tutorial, beginner-friendly, data-analysis

## Member repositories
- matloff/fasteR (main) score 59

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:48.126762+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 2026-08-30T06:32:08.545110+00:00, confidence not recorded.
  - readme: https://github.com/matloff/fasteR (fetched 2026-08-28T04:03:48.126762+00:00, sha 11f07814308a)
- Data as of 2026-08-30T08:39:29.467469+00:00.