Awesome R

Awesome

A curated list of awesome R packages and tools. Inspired by awesome-machine-learning.

2020

2019

Integrated Development Environments

Integrated Development Environment

Syntax

Packages change the way you use R.

Data Manipulation

Packages for cooking data.

Data Formats

Packages for reading and writing data of different formats.

Graphic Displays

Packages for showing data.

HTML Widgets

Packages for interactive visualizations.

Reproducible Research

Packages for literate programming and reproducible workflows.

Web Technologies and Services

Packages to surf the web.

Parallel Computing

Packages for parallel computing.

High Performance

Packages for making R faster.

Language API

Packages for other languages.

Database Management

Packages for managing data.

Machine Learning

Packages for making R cleverer.

Natural Language Processing

Packages for Natural Language Processing.

Bayesian

Packages for Bayesian Inference.

Optimization

Packages for Optimization.

Finance

Packages for dealing with money.

Bioinformatics and Biostatistics

Packages for processing biological datasets.

Network Analysis

Packages to construct, analyze and visualize network data.

Spatial

Packages to explore the earth.

R Development

Packages for packages.

Logging

Packages for Logging

Data Packages

Handy Data Packages

Other Tools

Handy Tools for R

Other Interpreters

Alternative R engines.

Learning R

Packages for Learning R.

Resources

Where to discover new R-esources.

Websites

Manuals

Tools and References

News and Info

Books

Free and Online

Paid

Book/monograph Lists and Reviews

Podcasts

Reference Cards

MOOCs

Massive open online courses.

Lists

Great resources for learning domain knowledge.

R Ecosystems

R communities and package collections (in alphabetical order):

2018

2017

Other Awesome Lists

Contributing

Your contributions are always welcome!

This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License - CC BY-NC-SA 4.0