explaingit

hadley/mylittlepony

Analysis updated 2026-07-08 · repo last pushed 2018-11-09

18RAudience · developerComplexity · 1/5DormantSetup · easy

TLDR

A beginner-friendly R package that teaches people how to build their own R packages. It provides a simple sandbox for practicing the basics of bundling code into shareable units.

Mindmap

mindmap
  root((repo))
    What it does
      Teaches R package creation
      Provides practice environment
      Low-stakes learning space
    Tech stack
      R language
      Package structure
      Documentation tools
      Testing basics
    Use cases
      Bundle data cleaning scripts
      Share code with colleagues
      Learn package fundamentals
      Practice documentation
    Audience
      R beginners
      Data analysts
      Researchers
      Students
Click or tap to explore — scroll the page freely

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Learn how to organize R code into a reusable package structure.

USE CASE 2

Practice writing documentation and tests for an R package.

USE CASE 3

Turn frequently used data-cleaning scripts into a shareable package for colleagues.

USE CASE 4

Build confidence with R package development in a low-pressure environment.

What is it built with?

R

How does it compare?

hadley/mylittleponyjohnmyleswhite/ml_for_hackersswirldev/swirl_courses
Stars183,7394,545
LanguageRRR
Last pushed2018-11-09
MaintenanceDormant
Setup difficultyeasymoderateeasy
Complexity1/52/51/5
Audiencedeveloperdeveloperdata

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

No special setup needed beyond having R installed and a basic familiarity with the language.

No license information is provided in the explanation, so usage rights are unclear.

In plain English

The mylittlepony project is a teaching tool designed to help people learn the basics of building software packages in the R programming language. Rather than being a tool meant for everyday practical use, it serves as a friendly, approachable starting point for beginners who want to understand how developers bundle their code into shareable, reusable units. In programming, a "package" is a way to organize code, documentation, and data so that it can be easily distributed and used by others. Creating one from scratch involves understanding a specific folder structure, writing documentation, and testing your code to ensure it works reliably. This project provides a simple, low-stakes environment where newcomers can practice these exact steps. Because the project is inherently basic and approachable, it removes the pressure of working on a complex, real-world application while learning the underlying concepts. This package would primarily be used by data analysts, researchers, or students who already know a bit of R and are ready to take the next step in their coding journey. For example, a data scientist who frequently writes the same data-cleaning scripts might use the lessons from this project to learn how to bundle those scripts into a proper package. This allows them to easily share their work with colleagues or the broader public instead of copying and pasting code between different projects. The project is notable for its playful naming, which signals that it is meant to be unintimidating and fun. It is clearly intended for educational purposes rather than production use, making a tradeoff in favor of simplicity and clarity over advanced functionality. The README doesn't go into detail about specific tutorials or instructions, but the project's purpose is clear: it exists to guide beginners through the foundational mechanics of R package development in an approachable way.

Copy-paste prompts

Prompt 1
I want to learn how to create my first R package. Walk me through the basic folder structure and files I need, using a simple example with one function.
Prompt 2
Help me understand the essential steps to build and test an R package from scratch, including how to write documentation using Roxygen2.
Prompt 3
I have several R data-cleaning scripts I reuse often. Show me how to bundle them into a proper R package so I can share them with my team.
Prompt 4
Create a minimal R package example with one function, basic documentation, and a simple test file so I can see how all the pieces fit together.

Frequently asked questions

What is mylittlepony?

A beginner-friendly R package that teaches people how to build their own R packages. It provides a simple sandbox for practicing the basics of bundling code into shareable units.

What language is mylittlepony written in?

Mainly R. The stack also includes R.

Is mylittlepony actively maintained?

Dormant — no commits in 2+ years (last push 2018-11-09).

What license does mylittlepony use?

No license information is provided in the explanation, so usage rights are unclear.

How hard is mylittlepony to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is mylittlepony for?

Mainly developer.

Open on GitHub → Explain another repo

This repo across BitVibe Labs

Verify against the repo before relying on details.