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!

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LAST UPDATED: 2021-09-24

Table of Contents (clickable)

Beginner
Advanced
Cheat sheets
Data manipulation
Data visualization
Dashboards & Shiny
Markdown
Database connections
Machine learning
Text mining
Geospatial analysis
Bioinformatics
R IDEs
Software & language connections
Help
Blogs
Conferences, Events, & Groups
Jobs
Other tips & tricks

Completely new to R? → Start learning here!

Introductory R

Introductory Books

Online Courses

Youtube R classes by Chris Bilder
37 Youtube R Tutorials by Flavio Azevedo***
Essential R tutorials by Gilad Feldman
Data Carpentry Social Science in R
Statistics and R, by Rafael Irizarry and Michael Love
Learn R via R-coder.com

Style Guides

Google’s R style guide
Tidyverse style guide by Hadley Wickham
Advanced R style guide by Hadley Wickham
R style guide for stat405 by Hadley Wickham
R style guide by Collin Gillespie
Best practices for R Coding by Arnaud Amsellem / The R Trader
The State of Naming Conventions in R (Bååth, 2012)
A guide for switching from base R to the tidyverse

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Advanced R

Package Development

Mastering Software Development in R (Peng, Kross, & Anderson, 2017)
R Packages (Wickham & Bryan, ???)
rOpenSci Packages: Development, Maintenance, and Peer Review
How to develop good R packages (for open science) by Maëlle Salmon
Tutorial on creating R packages by Friedrich Leisch
Developing R Packages by Jeff Leek
Writing an R package from scratch by Hilary Parker
Write your own R package by STAT545
Making an R Package, by R.M. Ripley
Prepare your package for CRAN
Introduction to roxygen2 by Hadley Wickham
How to build package vignettes with knitr by Yihui Xie
knitr in a nutshell: a minimal tutorial by Karl Broman
Rtools: Building R for Windows by Brian Ripley, Duncan Murdoch, and Jeroen Ooms
devtools – tools to make an R developer’s life easier
roxygen2 – tools for describing functions in comments next to their definitions
Rd2roxygen – tools for converting Rd to roxygen documentation
testthat – tools that simplify the testing of R packages

Non-standard Evaluation

Functional Programming

Writing Functions in R by Hadley Wickham via DataCamp.com
R for Data Science chapters on Functions and Iteration
(Grolemund & Wickham, 2018)***
Advanced R chapter on Functions (Wickham, 2014)
Lesson on writing, testing, and documenting custom functions by Software-Carpentry.org
User-defined R fuctions tutorial by Carlo Fanara via DataCamp.com
Functional programming lecture by Duke University
purrr tutorial by Jenny Bryan***
Intro to purrr tutorial by Emorie Beck
Learn purrr tutorial by Dan Ovando
purrr cheat sheet by RStudio

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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

R Color Guide***
colourpicker – widget that allows users to choose colours
paletteer – comprehensive collection of color palettes in R***
ggplot2 colour guide***
Canva’s 100 color palette included in ggthemes::scale_color_canva
Wes Anderson color palettes
Multicolored annotated text in ggplot2 by Andrew Whitby & Visuelle Data
Picular.co – Google, but for colors

Interactive / HTML / JavaScript widgets

R HTML Widgets Gallery***
plotly – interactive plots
billboarder – easy interface to billboard.js, a JavaScript chart library based on D3
d3heatmap – interactive D3 heatmaps
altair – Vega-Lite visualizations via Python
DT – interactive tables
DiagrammeR – interactive diagrams (DiagrammeR cheat sheet)
dygraphs – interactive time series plots
formattable – formattable data structures
ggvis – interactive ggplot2
highcharter – interactive Highcharts plots
leaflet – interactive maps
metricsgraphics – interactive JavaScript bare-bones line, scatterplot and bar charts
networkD3 – interative D3 network graphs
scatterD3 – interactive scatterplots with D3
rbokeh – interactive Bokeh plots
rCharts – interactive Javascript charts
rcdimple – interactive JavaScript bar charts and others
rglwidget – interactive 3d plots
threejs – interactive 3d plots and globes
visNetwork – interactive network graphs
wordcloud2 – interface to wordcloud2.js.
timevis – interactive timelines

ggplot2

Code examples of top-50 ggplot2 visualizations***
ggplot2 Cheatsheet by RStudio
ggplot2 Quick Reference Guide
ggplot2 Code Snippets
ggplot2 Code Snippets 2
Hitchhiker’s Guide to ggplot2 in R (Burchell & Vargas, 2016)
A practical introduction with R and ggplot2 (Healy, 2017)
Data Vizualization: A practical introduction (Healy, 2018)
Complete ggplot2 Tutorial
Principles & Practice of Data Visualization CS631 at Oregon Health & Science University
Data visualization cheat sheet by RStudio with ggplot2
Setting custom ggplot themes with ggthemr
Creating custom, reproducible color palettes by Simon Jackson
Rearranging values within ggplot2 facets
Combine plots using patchwork or cowplot
equisse – RStudio addin to interactively explore data with ggplot2 without coding

ggplot2 extensions

ggplot2 extensions overview***
ggthemes – plot style themes
hrbrthemes – opinionated, typographic-centric themes
ggmap – maps with Google Maps, Open Street Maps, etc.
ggiraph – interactive ggplots
gghighight – highlight lines or values, see vignette
ggstance – horizontal versions of common plots
GGally – scatterplot matrices
ggalt – additional coordinate systems, geoms, etc.
ggbeeswarm – column scatter plots or voilin scatter plots
ggforce – additional geoms, see visual guide
ggrepel – prevent plot labels from overlapping
ggraph – graphs, networks, trees and more
ggpmisc – photo-biology related extensions
geomnet – network visualization
ggExtra – marginal histograms for a plot
gganimate – animations, see also the gganimate wiki page
ggpage – pagestyled visualizations of text based data
ggpmisc – useful additional geom_* and stat_* functions
ggstatsplot – include details from statistical tests in plots
ggspectra – tools for plotting light spectra
ggnetwork – geoms to plot networks
ggpoindensity – cross between a scatter plot and a 2D density plot
ggradar – radar charts
ggsurvplot (survminer) – survival curves
ggseas – seasonal adjustment tools
ggthreed – (evil) 3D geoms
ggtech – style themes for plots
ggtern – ternary diagrams
ggTimeSeries – time series visualizations
ggtree – tree visualizations
treemapify – wilcox’s treemaps
seewave – spectograms

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
devoutsvg – an SVG graphics device (with pattern fills)
devoutpdf – an PDF graphics device
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

Shiny Cheat Sheet by RStudio
Shiny Tutorial
A collection of links to Shiny applications that have been shared on Twitter.
Enterprise-ready dashboards with Shiny and databases
Several packages to upgrade your Shiny dashboards
More Shiny Resources by Rob Gilmore
More Shiny Resources for Statistics by Yingjie Hu
Building Shiny apps – an interactive tutorial by Dean Attali
Advanced Shiny tips & tricks by Dean Attali (version 2)
flexdashboard – dashboard creation simplified
colourpicker – widget that allows users to choose colours
brighter – toolbox with helpful functions for shiny development
DesktopDeployR – self-contained R-based desktop applications

Markdown & Other Output Formats

R Markdown cheat sheet by RStudio
R Markdown reference guide by RStudio
R Markdown Basics
R Markdown tutorial by RStudio
R Markdown gallery by RStudio
The knitr book (Xie, 2015)
Getting used to R, RStudio, and R Markdown (2016)
R Markdown: The Definitive Guide (Xie, Allaire, & Grolemund, 2018)
Introduction to R Markdown (Clark, 2018)
R Markdown for Scientists (Tierney, 2019)
R Markdown Tips and Tricks
Pimp my RMD by Holtz Yan
Pandoc syntax highlighting examples by Garrick Aden-Buie
Creating slides with R Markdown (Video) by Brian Caffo
Introduction to xaringan by Yihui Xie
A quick demonstration of xarigan
General Markdown cheat sheet
blogdown websites with R Markdown (Xie, Thomas, & Hill, 2018)
blogdown tutorials
How to build a website with blogdown in R, by Storybench
radix – online publication format designed for scientific and technical communication
A template RStudio project with data analysis and manuscript writing by Thomas Julou
Multiple reports from a single Markdown file (example 1) (example2)

tidystats – automating updating of model statistics
papaja – preparing APA journal articles
blogdown – build websites with Markdown & Hugo
huxtable – create Excel, html, & LaTeX tables
xaringan – make slideshows via remark.js and markdown
summarytools – produces neat, quick data summary tables
citr – RStudio Addin to Insert Markdown Citations

Cloud, Server, & Database

Access and manage Google spreadsheets from R with googlesheets
Tutorial: Database Queries with R
Introduction to sparklyr by DataCamp
Running R on AWS
AWS EC2 Tutorial For Beginners
Using RStudio on Amazon EC2 under the Free Usage Tier
Getting started with databases using R, by RStudio
- RMySQL – connects to MySQL and MariaDB
- RPostgreSQL – connects to Postgres and Redshift.
- RSQLite – embeds a SQLite database.
- odbc – connects to many commercial databases via the open database connectivity protocol.
- bigrquery – connects to Google’s BigQuery.
- DBI – separates the connectivity to the DBMS into a “front-end” and a “back-end”.
- dbplot – leverages dplyr to process calculations of plot inside database
- dplyr – also works with remote on-disk data stored in databases
- tidypredict – run predictions inside the database

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Statistical Modeling & Machine Learning

Books

Courses

Introduction to Statistical Learning*** at Stanford University by Trevor Hastie and Rob Tibshirani
Introduction to R for Data Science @Microsoft
Introduction to R for Data Science @FutureLearn by Hadley Wickham
PSY2002: Advanced Statistics at University of Toronto by Elizabeth Page-Gould
STAT 450/870: Regression Analysis at University of Nebraska-Lincoln by Chris Bilder
STAT 850: Computing Tools for Statisticians at University of Nebraska-Lincoln by Chris Bilder
STAT 873: Applied Multivariate Statistical Analysis at University of Nebraska-Lincoln by Chris Bilder
STAT 875: Categorical Data Analysis at University of Nebraska-Lincoln by Chris Bilder
STAT 950: Computational Statistics at University of Nebraska-Lincoln by Chris Bilder
Joint Statistical Meetings: Analysis of Categorical Data by Chris Bilder

Cheat sheets

Time series

CRAN Task View – TimeSeries
R xts cheat sheet
Forecasting: Principles and Practice (Hyndman & Athanasopoulos, 2017)
A little book of R for time series (tutorial)
ARIMA forecasting in R (6-part Youtube series)
Introduction to the tsfeatures package
Tutorials: Part 1, Part 2, Part 3, & Part 4 of tidy time series @Business-Science.io with tidyquant
Packages:
- xts – extensible time series
- tsfeatures – methods for extracting various features from time series data
- tidyquant – tidyverse-style financial analysis

Survival analysis

CRAN Task View – Survival
R survival analysis cheat sheet by Przemysław Biecek
Packages:
- survival – functionality for survival and hazard models
- ggsurvplot (survminer) – survival curves

Bayesian

Miscellaneous

corrr – easier correlation matrix management and exploration

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Natural Language Processing & Text Mining

Text Mining Tutorial with tm
Tidy Text Mining (Silges & Robinson, 2017) with tidytext
Text Analysis with R for Students of Literature (Jockers, 2014)
Tidytext tutorials by computational journalism
21 Recipes for Mining Twitter Data (Rudis, 2017) with rtweet
Emil Hvitfeldt’s R-text-data GitHub repository
Course: Introduction to Text Analytics with R @DataScienceDojo
Course: Twitter Text Mining and Social Network Analysis (Zhoa, 2016) @RDataMining with twitteR
Quantitative Analysis of Textual Data with quanteda cheat sheet by Stefan Müller and Kenneth Benoit
List of resources for NLP & Text Mining by Stephen Thomas
Packages — for an overview: CRAN Task View – Natural Language Processing:
- tm – text mining.
- tidytext – text mining using tidyverse principles
- quanteda – framework for quantitative text analysis
- gutenbergr – public domain works (free books to practice on)
- corpora – statistics and data sets for corpus frequency data.
- tau – Text Analysis Utilities
- Sentiment140 – headache-free sentiment analysis
- sentimentr – sentiment analysis using text polarity
- openNLP – sentence detector, tokenizer, pos-tagger, shallow and full syntactic parser, named-entity detector, and maximum entropy models with OpenNLP.
- cleanNLP – natural language processing via tidy data models
- RSentiment – English lexicon-based sentiment analysis with negation and sarcasm detection functionalities.
- RWeka – data mining tasks with Weka
- wordnet – a large lexical database of English with WordNet .
- stringi – language processing wrappers
- textcat – provides support for n-gram based text categorization.
- text2vec – text vectorization, topic modeling (LDA, LSA), word embeddings (GloVe), and similarities.
- lsa – Latent Semantic Analysis
- topicmodels -Latent Dirichlet Allocation (LDA) and Correlated Topics Models (CTM)
- lda -Latent Dirichlet Allocation and related models

Regular Expressions

R Regular Expression cheat sheet by Lise Vaudor
R Regular Expression cheat sheet
R Regular Expression cheat sheet (page 2) by RStudio
regexplain – interactive RStudio addin for regular expressions
Regular Expressions in R – Part 1: Introduction and base R functions
R Regular Expressions by Jon M. Calder in swirl()
R Regular Expression Video Tutorial by Roger Peng
General Regular Expression cheat sheet
General Regular Expression Video Tutorial by Roger Peng
General Regular Expression cheat sheet by OverAPI.com

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Geographic & Spatial mapping

Making Maps with R (tutorial) with ggmaps, maps, and mapdata
Importing OpenStreetMap data (tutorial) with osmar
Geocomputation with R (Lovelace, Nowosad, & Muenchow, 2018)
Spatial manipulation with Simple Features (sf) cheat sheet by Ryan Garnett

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