R resources (free courses, books, tutorials, & cheat sheets)

Help yourself to these free books, tutorials, packages, cheat sheets, and many more materials for R programming. There’s a separate overview for handy R programming tricks. If you have additions, please comment below or contact me!

LAST UPDATED: 2019-10-19


Table of Contents (clickable)

Completely new to R? → Start learning here!


Introductory R

Introductory Books

Online Courses

Style Guides

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Advanced R

Package Development

Non-standard Evaluation

Functional Programming

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Cheat Sheets

Many of the above cheat sheets are hosted in the official RStudio cheat sheet overview.


Data Manipulation


Data Visualization

Colors

Interactive / HTML / JavaScript widgets

ggplot2

ggplot2 extensions

Miscellaneous

  • coefplot – visualizes model statistics
  • circlize – circular visualizations for categorical data
  • clustree – visualize clustering analysis
  • quantmod – candlestick financial charts
  • dabestr– Data Analysis using Bootstrap-Coupled ESTimation
  • cartography – create and integrate maps in your R workflow
  • colorspace – HSL based color palettes
  • viridis – Matplotlib viridis color pallete for R
  • munsell – Munsell color palettes for R
  • Cairo – high-quality display output
  • igraph – Network Analysis and Visualization
  • graphlayouts – new layout algorithms for network visualization
  • lattice – Trellis graphics
  • tmap – thematic maps
  • trelliscopejs – interactive alternative for facet_wrap
  • rgl – interactive 3D plots
  • corrplot – graphical display of a correlation matrix
  • googleVis – Google Charts API
  • plotROC – interactive ROC plots
  • extrafont – fonts in R graphics
  • rvg – produces Vector Graphics that allow further editing in PowerPoint or Excel
  • showtext – text using system fonts
  • animation – animated graphics using ImageMagick.
  • misc3d – 3d plots, isosurfaces, etc.
  • xkcd – xkcd style graphics
  • imager – CImg library to work with images
  • ungeviz – tools for visualize uncertainty
  • waffle – square pie charts a.k.a. waffle charts
  • Creating spectograms in R with hht, warbleR, soundgen, signal, seewave, or phonTools

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Shiny, Dashboards, & Apps


Markdown & Other Output Formats


Cloud, Server, & Database

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Statistical Modeling & Machine Learning

Books

Courses

Cheat sheets

Time series

Survival analysis

Bayesian

Miscellaneous

  • corrr – easier correlation matrix management and exploration

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Natural Language Processing & Text Mining

Regular Expressions

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Geographic & Spatial mapping


Bioinformatics & Computational Biology

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Integrated Development Environments (IDEs) &
Graphical User Inferfaces (GUIs)

Descriptions mostly taken from their own websites:

  • RStudio*** – Open source and enterprise ready professional software
  • Jupyter Notebook*** – open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text across dozens of programming languages.
  • Microsoft R tools for Visual Studio – turn Visual Studio into a powerful R IDE
  • R Plugins for Vim, Emax, and Atom editors
  • Rattle*** – GUI for data mining
  • equisse – RStudio add-in to interactively explore and visualize data
  • R Analytic Flow – data flow diagram-based IDE
  • RKWard – easy to use and easily extensible IDE and GUI
  • Eclipse StatET – Eclipse-based IDE
  • OpenAnalytics Architect – Eclipse-based IDE
  • TinnR – open source GUI and IDE
  • DisplayR – cloud-based GUI
  • BlueSkyStatistics – GUI designed to look like SPSS and SAS 
  • ducer – GUI for everyone
  • R commander (Rcmdr) – easy and intuitive GUI
  • JGR – Java-based GUI for R
  • jamovi & jmv – free and open statistical software to bridge the gap between researcher and statistician
  • Exploratory.io – cloud-based data science focused GUI
  • Stagraph – GUI for ggplot2 that allows you to visualize and connect to databases and/or basic file types
  • ggraptr – GUI for visualization (Rapid And Pretty Things in R)
  • ML Studio – interactive Shiny platform for data visualization, statistical modeling and machine learning

R & other software and languages

R & Excel

R & Python

R & SQL

  • sqldf – running SQL statements on R data frames

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R Help, Connect, & Inspiration


R Blogs


R Jobs

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29 Comments Add yours

  1. Pingback: Python Resources
  2. batpigandme says:

    Hi Paul,
    Just wanted to let you know that the sheet you have listed as “R Regular Expression Cheatsheet simple” is by Lise Vaudor. Figured you could toss an attribution on there!
    Thanks,
    Mara

    Liked by 1 person

    1. Lise Vaudor’s name has been added to the reference. Thank you for this clarification!

      Like

      1. batpigandme says:

        🌟 awesome! I love her cheat sheets so much, and it’s so easy to lose attribution as things get pinned and retweeted, Tumblred, umm, MySpaced? Is that still a thing? 😂

        Like

  3. Hi Paul,

    You may want to check this Slack-group out and add it to your list (best guess “R Help, Connect and Inspiration”)

    View at Medium.com

    Liked by 1 person

    1. Hi Mark, it seems that subscription to this group is no longer possible? Or do you have a link directly to the Slack group?

      Like

  4. tomtzp says:

    Rense Nieuwenhuis’ blog have interesting issues like Multilevel Model Specification (NLME) http://www.rensenieuwenhuis.nl/r-sessions-21-multilevel-model-specification-nlme/

    Liked by 1 person

  5. Genesis says:

    It’s enormous that you are getting thoughts from this post as well as from our dialogue made at
    this place.

    Like

  6. Brian Latinski says:

    New Edition of R in Action is out in its early-access form and it seems great.

    https://www.manning.com/books/r-in-action-third-edition

    Liked by 1 person

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