Awesome R

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

For better navigation, see https://awesome-r.com

for Top 50 CRAN downloaded packages or repos with 400+

Awesome R
Resources
- Websites
- Books
- Podcasts
- Reference Cards
- MOOCs
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Other Awesome Lists
Contributing

2018

r2d3 - R Interface to D3 Visualizations
rstats-ed - List of courses teaching R
promises - Abstractions for Promise-Based Asynchronous Programming
tinytex - A lightweight and easy-to-maintain LaTeX distribution
Readings in Applied Data Science - These readings reflect Hadley's personal thoughts about applied data science.

2017

prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
tidyverse - Easily install and load packages from the tidyverse
purrr - A functional programming toolkit for R
hrbrthemes - 🔏 Opinionated, typographic-centric ggplot2 themes and theme components
xaringan - Create HTML5 slides with R Markdown and the JavaScript library
blogdown - Create Blogs and Websites with R Markdown
glue - Glue strings to data in R. Small, fast, dependency free interpreted string literals.
covr - Test coverage reports for R
lintr - Static Code Analysis for R
reprex - Render bits of R code for sharing, e.g., on GitHub or StackOverflow.
reticulate - R Interface to Python
tensorflow - TensorFlow for R
utf8 - Manipulating and printing UTF-8 text that fixes multiple bugs in R's UTF-8 handling.
Patchwork - Combine separate ggplots into the same graphic.

Integrated Development Environments

Integrated Development Environment

RStudio - A powerful and productive user interface for R. Works great on Windows, Mac, and Linux.
Emacs + ESS - Emacs Speaks Statistics is an add-on package for emacs text editors.
Sublime Text + R-Box - Add-on package for Sublime Text 2/3.
TextMate + r.tmblundle - Add-on package for TextMate 1/2.
StatET - An Eclipse based IDE for R.
Revolution R Enterprise - Revolution R would be offered free to academic users and commercial software would focus on big data, large scale multiprocessor functionality.
R Commander - A package that provides a basic graphical user interface.
IRkernel - R kernel for Jupyter.
Deducer - A Menu driven data analysis GUI with a spreadsheet like data editor.
Radiant - A platform-independent browser-based interface for business analytics in R, based on the Shiny.
Vim-R - Vim plugin for R.
Nvim-R - Neovim plugin for R.
JASP - A complete package for both Bayesian and Frequentist methods, that is familiar to users of SPSS.
Bio7 - A IDE contains tools for model creation, scientific image analysis and statistical analysis for ecological modelling.
RTVS - R Tools for Visual Studio.
rtichoke - A modern R console with syntax highlighting.
RKWard - An extensible IDE/GUI for R.

Syntax

Packages change the way you use R.

magrittr - Let's pipe it.
pipeR - Multi-paradigm Pipeline Implementation.
lambda.r - Functional programming and simple pattern matching in R.
purrr - A FP package for R in the spirit of underscore.js.

Data Manipulation

Packages for cooking data.

dplyr - Fast data frames manipulation and database query.
data.table - Fast data manipulation in a short and flexible syntax.
reshape2 - Flexible rearrange, reshape and aggregate data.
readr - A fast and friendly way to read tabular data into R.
haven - Improved methods to import SPSS, Stata and SAS files in R.
tidyr - Easily tidy data with spread and gather functions.
broom - Convert statistical analysis objects into tidy data frames.
rlist - A toolbox for non-tabular data manipulation with lists.
jsonlite - A robust and quick way to parse JSON files in R.
ff - Data structures designed to store large datasets.
lubridate - A set of functions to work with dates and times.
stringi - ICU based string processing package.
stringr - Consistent API for string processing, built on top of stringi.
bigmemory - Shared memory and memory-mapped matrices. The big* packages provide additional tools including linear models (biglm) and Random Forests (bigrf).
fuzzyjoin - Join tables together on inexact matching.
tidyverse - Easily install and load packages from the tidyverse.

Graphic Displays

Packages for showing data.

ggplot2 - An implementation of the Grammar of Graphics.
ggfortify - A unified interface to ggplot2 popular statistical packages using one line of code.
ggrepel - Repel overlapping text labels away from each other.
ggalt - Extra Coordinate Systems, Geoms and Statistical Transformations for ggplot2.
ggtree - Visualization and annotation of phylogenetic tree.
ggtech - ggplot2 tech themes and scales
ggplot2 Extensions - Showcases of ggplot2 extensions.
lattice - A powerful and elegant high-level data visualization system.
corrplot - A graphical display of a correlation matrix or general matrix. It also contains some algorithms to do matrix reordering.
rgl - 3D visualization device system for R.
Cairo - R graphics device using cairo graphics library for creating high-quality display output.
extrafont - Tools for using fonts in R graphics.
showtext - Enable R graphics device to show text using system fonts.
animation - A simple way to produce animated graphics in R, using ImageMagick.
gganimate - Create easy animations with ggplot2.
misc3d - Powerful functions to deal with 3d plots, isosurfaces, etc.
xkcd - Use xkcd style in graphs.
imager - An image processing package based on CImg library to work with images and display them.
hrbrthemes - 🔏 Opinionated, typographic-centric ggplot2 themes and theme components.
waffle - 🍁 Make waffle (square pie) charts in R.
dendextend - visualizing, adjusting and comparing trees of hierarchical clustering.
r2d3 - R Interface to D3 Visualizations
Patchwork - Combine separate ggplots into the same graphic.

HTML Widgets

Packages for interactive visualizations.

heatmaply - Interactive heatmaps with D3.
d3heatmap - Interactive heatmaps with D3 (no longer maintained).
DataTables - Displays R matrices or data frames as interactive HTML tables.
DiagrammeR - Create JS graph diagrams and flowcharts in R.
dygraphs - Charting time-series data in R.
formattable - Formattable Data Structures.
ggvis - Interactive grammar of graphics for R.
Leaflet - One of the most popular JavaScript libraries interactive maps.
MetricsGraphics - Enables easy creation of D3 scatterplots, line charts, and histograms.
networkD3 - D3 JavaScript Network Graphs from R.
scatterD3 - Interactive scatterplots with D3.
plotly - Interactive ggplot2 and Shiny plotting with plot.ly.
rCharts - Interactive JS Charts from R.
rbokeh - R Interface to Bokeh.
threejs - Interactive 3D scatter plots and globes.
timevis - Create fully interactive timeline visualizations.
visNetwork - Using vis.js library for network visualization.
wordcloud2 - R interface to wordcloud2.js.
highcharter - R wrapper for highcharts based on htmlwidgets

Reproducible Research

Packages for literate programming and reproducible workflows.

knitr - Easy dynamic report generation in R.
tinytex - A lightweight and easy-to-maintain LaTeX distribution
xtable - Export tables to LaTeX or HTML.
rapport - An R templating system.
rmarkdown - Dynamic documents for R.
slidify - Generate reproducible html5 slides from R markdown.
Sweave - A package designed to write LaTeX reports using R.
texreg - Formatting statistical models in LaTex and HTML.
checkpoint - Install packages from snapshots on the checkpoint server.
brew - Pre-compute data to enhance your report templates. Can be combined with knitr.
ReporteRs - An R package to generate Microsoft Word, Microsoft PowerPoint and HTML reports.
bookdown - Authoring Books with R Markdown.
ezknitr - Avoid the typical working directory pain when using 'knitr'
drake - An rOpenSci package for reproducible data science workflows too big for knitr.

Web Technologies and Services

Packages to surf the web.

Web Technologies List - Information about how to use R and the world wide web together.
shiny - Easy interactive web applications with R. See also awesome-rshiny
shinyjs - Easily improve the user interaction and user experience in your Shiny apps in seconds.
RCurl - General network (HTTP/FTP/...) client interface for R.
curl - A Modern and Flexible Web Client for R.
httr - User-friendly RCurl wrapper.
httpuv - HTTP and WebSocket server library.
XML - Tools for parsing and generating XML within R.
rvest - Simple web scraping for R, using CSSSelect or XPath syntax.
OpenCPU - HTTP API for R.
Rfacebook - Access to Facebook API via R.
RSiteCatalyst - R client library for the Adobe Analytics.
plumber - A library to expose existing R code as web API.

Parallel Computing

Packages for parallel computing.

parallel - R started with release 2.14.0 which includes a new package parallel incorporating (slightly revised) copies of packages multicore and snow.
Rmpi - Rmpi provides an interface (wrapper) to MPI APIs. It also provides interactive R slave environment.
foreach - Executing the loop in parallel.
future - A minimal, efficient, cross-platform unified Future API for parallel and distributed processing in R; designed for beginners as well as advanced developers.
SparkR - R frontend for Spark.
DistributedR - A scalable high-performance platform from HP Vertica Analytics Team.
ddR - Provides distributed data structures and simplifies distributed computing in R.
sparklyr - R interface for Apache Spark from RStudio.
batchtools - High performance computing with LSF, TORQUE, Slurm, OpenLava, SGE and Docker Swarm.

High Performance

Packages for making R faster.

Rcpp - Rcpp provides a powerful API on top of R, make function in R extremely faster.
Rcpp11 - Rcpp11 is a complete redesign of Rcpp, targetting C++11.
compiler - speeding up your R code using the JIT

Language API

Packages for other languages.

rJava - Low-level R to Java interface.
jvmr - Integration of R, Java, and Scala.
rJython - R interface to Python via Jython.
rPython - Package allowing R to call Python.
runr - Run Julia and Bash from R.
RJulia - R package Call Julia.
JuliaCall - Seamless Integration Between R and Julia.
RinRuby - a Ruby library that integrates the R interpreter in Ruby.
R.matlab - Read and write of MAT files together with R-to-MATLAB connectivity.
RcppOctave - Seamless Interface to Octave and Matlab.
RSPerl - A bidirectional interface for calling R from Perl and Perl from R.
V8 - Embedded JavaScript Engine.
htmlwidgets - Bring the best of JavaScript data visualization to R.
rpy2 - Python interface for R.

Database Management

Packages for managing data.

RODBC - ODBC database access for R.
DBI - Defines a common interface between the R and database management systems.
elastic - Wrapper for the Elasticsearch HTTP API
mongolite - Streaming Mongo Client for R
odbc - Connect to ODBC databases (using the DBI interface)
RMariaDB - An R interface to MariaDB (a replacement for the old RMySQL package)
RMySQL - R interface to the MySQL database.
ROracle - OCI based Oracle database interface for R.
RPostgreSQL - R interface to the PostgreSQL database system.
RSQLite - SQLite interface for R
RJDBC - Provides access to databases through the JDBC interface.
rmongodb - R driver for MongoDB.
rredis - Redis client for R.
RCassandra - Direct interface (not Java) to the most basic functionality of Apache Cassanda.
RHive - R extension facilitating distributed computing via Apache Hive.
RNeo4j - Neo4j graph database driver.
rpostgis - R interface to PostGIS database and get spatial objects in R.

Machine Learning

Packages for making R cleverer.

AnomalyDetection - AnomalyDetection R package from Twitter.
ahaz - Regularization for semiparametric additive hazards regression.
arules - Mining Association Rules and Frequent Itemsets
bigrf - Big Random Forests: Classification and Regression Forests for Large Data Sets
bigRR - Generalized Ridge Regression (with special advantage for p >> n cases)
bmrm - Bundle Methods for Regularized Risk Minimization Package
Boruta - A wrapper algorithm for all-relevant feature selection
BreakoutDetection - Breakout Detection via Robust E-Statistics from Twitter.
bst - Gradient Boosting
CausalImpact - Causal inference using Bayesian structural time-series models.
C50 - C5.0 Decision Trees and Rule-Based Models
caret - Classification and Regression Training
Clever Algorithms For Machine Learning
CORElearn - Classification, regression, feature evaluation and ordinal evaluation
CoxBoost - Cox models by likelihood based boosting for a single survival endpoint or competing risks
Cubist - Rule- and Instance-Based Regression Modeling
e1071 - Misc Functions of the Department of Statistics (e1071), TU Wien
earth - Multivariate Adaptive Regression Spline Models
elasticnet - Elastic-Net for Sparse Estimation and Sparse PCA
ElemStatLearn - Data sets, functions and examples from the book: "The Elements of Statistical Learning, Data Mining, Inference, and Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
evtree - Evolutionary Learning of Globally Optimal Trees
forecast - Timeseries forecasting using ARIMA, ETS, STLM, TBATS, and neural network models
forecastHybrid - Automatic ensemble and cross validation of ARIMA, ETS, STLM, TBATS, and neural network models from the "forecast" package
prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
FSelector - A feature selection framework, based on subset-search or feature ranking approches.
frbs - Fuzzy Rule-based Systems for Classification and Regression Tasks
GAMBoost - Generalized linear and additive models by likelihood based boosting
gamboostLSS - Boosting Methods for GAMLSS
gbm - Generalized Boosted Regression Models
glmnet - Lasso and elastic-net regularized generalized linear models
glmpath - L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model
GMMBoost - Likelihood-based Boosting for Generalized mixed models
grplasso - Fitting user specified models with Group Lasso penalty
grpreg - Regularization paths for regression models with grouped covariates
h2o - Deeplearning, Random forests, GBM, KMeans, PCA, GLM
hda - Heteroscedastic Discriminant Analysis
ipred - Improved Predictors
kernlab - kernlab: Kernel-based Machine Learning Lab
klaR - Classification and visualization
kohonen - Supervised and Unsupervised Self-Organising Maps.
lars - Least Angle Regression, Lasso and Forward Stagewise
lasso2 - L1 constrained estimation aka ‘lasso’
LiblineaR - Linear Predictive Models Based On The Liblinear C/C++ Library
lme4 - Mixed-effects models
LogicReg - Logic Regression
maptree - Mapping, pruning, and graphing tree models
mboost - Model-Based Boosting
Machine Learning For Hackers
mlr - Extensible framework for classification, regression, survival analysis and clustering
mvpart - Multivariate partitioning
MXNet - MXNet brings flexible and efficient GPU computing and state-of-art deep learning to R.
ncvreg - Regularization paths for SCAD- and MCP-penalized regression models
nnet - eed-forward Neural Networks and Multinomial Log-Linear Models
oblique.tree - Oblique Trees for Classification Data
pamr - Pam: prediction analysis for microarrays
party - A Laboratory for Recursive Partytioning
partykit - A Toolkit for Recursive Partytioning
penalized - L1 (lasso and fused lasso) and L2 (ridge) penalized estimation in GLMs and in the Cox model
penalizedLDA - Penalized classification using Fisher's linear discriminant
penalizedSVM - Feature Selection SVM using penalty functions
quantregForest - quantregForest: Quantile Regression Forests
randomForest - randomForest: Breiman and Cutler's random forests for classification and regression.
randomForestSRC - randomForestSRC: Random Forests for Survival, Regression and Classification (RF-SRC).
ranger - A Fast Implementation of Random Forests.
rattle - Graphical user interface for data mining in R.
rda - Shrunken Centroids Regularized Discriminant Analysis
rdetools - Relevant Dimension Estimation (RDE) in Feature Spaces
REEMtree - Regression Trees with Random Effects for Longitudinal (Panel) Data
relaxo - Relaxed Lasso
rgenoud - R version of GENetic Optimization Using Derivatives
rgp - R genetic programming framework
Rmalschains - Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains) in R
rminer - Simpler use of data mining methods (e.g. NN and SVM) in classification and regression
ROCR - Visualizing the performance of scoring classifiers
RoughSets - Data Analysis Using Rough Set and Fuzzy Rough Set Theories
rpart - Recursive Partitioning and Regression Trees
RPMM - Recursively Partitioned Mixture Model
RSNNS - Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS)
Rsomoclu - Parallel implementation of self-organizing maps.
RWeka - R/Weka interface
RXshrink - RXshrink: Maximum Likelihood Shrinkage via Generalized Ridge or Least Angle Regression
sda - Shrinkage Discriminant Analysis and CAT Score Variable Selection
SDDA - Stepwise Diagonal Discriminant Analysis
SuperLearner and subsemble - Multi-algorithm ensemble learning packages.
svmpath - svmpath: the SVM Path algorithm
tgp - Bayesian treed Gaussian process models
tree - Classification and regression trees
varSelRF - Variable selection using random forests
xgboost - eXtreme Gradient Boosting Tree model, well known for its speed and performance.

Natural Language Processing

Packages for Natural Language Processing.

text2vec - Fast Text Mining Framework for Vectorization and Word Embeddings.
tm - A comprehensive text mining framework for R.
openNLP - Apache OpenNLP Tools Interface.
koRpus - An R Package for Text Analysis.
zipfR - Statistical models for word frequency distributions.
NLP - Basic functions for Natural Language Processing.
LDAvis - Interactive visualization of topic models.
topicmodels - Topic modeling interface to the C code developed by by David M. Blei for Topic Modeling (Latent Dirichlet Allocation (LDA), and Correlated Topics Models (CTM)).
syuzhet - Extracts sentiment from text using three different sentiment dictionaries.
SnowballC - Snowball stemmers based on the C libstemmer UTF-8 library.
quanteda - R functions for Quantitative Analysis of Textual Data.
Topic Models Resources - Topic Models learning and R related resources.
NLP for - NLP related resources in R. @Chinese
MonkeyLearn - 🐒 R package for text analysis with Monkeylearn 🐒.
tidytext - Implementing tidy principles of Hadley Wickham to text mining.
utf8 - Manipulating and printing UTF-8 text that fixes multiple bugs in R's UTF-8 handling.

Bayesian

Packages for Bayesian Inference.

coda - Output analysis and diagnostics for MCMC.
mcmc - Markov Chain Monte Carlo.
MCMCpack - Markov chain Monte Carlo (MCMC) Package.
R2WinBUGS - Running WinBUGS and OpenBUGS from R / S-PLUS.
BRugs - R interface to the OpenBUGS MCMC software.
rjags - R interface to the JAGS MCMC library.
rstan - R interface to the Stan MCMC software.

Optimization

Packages for Optimization.

lpSolve - Interface to Lp_solve to Solve Linear/Integer Programs.
minqa - Derivative-free optimization algorithms by quadratic approximation.
nloptr - NLopt is a free/open-source library for nonlinear optimization.
ompr - Model mixed integer linear programs in an algebraic way directly in R.
Rglpk - R/GNU Linear Programming Kit Interface
ROI - The R Optimization Infrastructure ('ROI') is a sophisticated framework for handling optimization problems in R.

Finance

Packages for dealing with money.

quantmod - Quantitative Financial Modelling & Trading Framework for R.
TTR - Functions and data to construct technical trading rules with R.
PerformanceAnalytics - Econometric tools for performance and risk analysis.
zoo - S3 Infrastructure for Regular and Irregular Time Series.
xts - eXtensible Time Series.
tseries - Time series analysis and computational finance.
fAssets - Analysing and Modelling Financial Assets.

Bioinformatics and Biostatistics

Packages for processing biological datasets.

Bioconductor - Tools for the analysis and comprehension of high-throughput genomic data.
genetics - Classes and methods for handling genetic data.
gap - An integrated package for genetic data analysis of both population and family data.
ape - Analyses of Phylogenetics and Evolution.
pheatmap - Pretty heatmaps made easy.

Network Analysis

Packages to construct, analyze and visualize network data.

Network Analysis List - Network Analysis related resources.
igraph - A collection of network analysis tools.
network - Basic tools to manipulate relational data in R.
sna - Basic network measures and visualization tools.
netdiffuseR - Tools for Analysis of Network Diffusion.
networkDynamic - Support for dynamic, (inter)temporal networks.
ndtv - Tools to construct animated visualizations of dynamic network data in various formats.
statnet - The project behind many R network analysis packages.
ergm - Exponential random graph models in R.
latentnet - Latent position and cluster models for network objects.
tnet - Network measures for weighted, two-mode and longitudinal networks.
rgexf - Export network objects from R to GEXF, for manipulation with network software like Gephi or Sigma.
visNetwork - Using vis.js library for network visualization.

Spatial

Packages to explore the earth.

CRAN Task View: Analysis of Spatial Data- Spatial Analysis related resources.
Leaflet - One of the most popular JavaScript libraries interactive maps.
ggmap - Plotting maps in R with ggplot2.
REmap - R interface to the JavaScript library ECharts for interactive map data visualization.
sf - Improved Classes and Methods for Spatial Data.
sp - Classes and Methods for Spatial Data.
rgeos - Interface to Geometry Engine - Open Source
rgdal - Bindings for the Geospatial Data Abstraction Library
maptools - Tools for Reading and Handling Spatial Objects
gstat - Spatial and spatio-temporal geostatistical modelling, prediction and simulation.
spacetime - R classes and methods for spatio-temporal data.
RColorBrewer - Provides color schemes for maps
spatstat - Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
spdep - Spatial Dependence: Weighting Schemes, Statistics and Models
tigris - Download and use Census TIGER/Line shapefiles in R

R Development

Packages for packages.

Package Development List - R packages to improve package development.
promises - Abstractions for Promise-Based Asynchronous Programming
devtools - Tools to make an R developer's life easier.
testthat - An R package to make testing fun.
R6 - simpler, faster, lighter-weight alternative to R's built-in classes.
pryr - Make it easier to understand what's going on in R.
roxygen - Describe your functions in comments next to their definitions.
lineprof - Visualise line profiling results in R.
packrat - Make your R projects more isolated, portable, and reproducible.
installr - Functions for installing softwares from within R (for Windows).
import - An import mechanism for R.
modules - An alternative (Python style) module system for R.
Rocker - R configurations for Docker.
RStudio Addins - List of RStudio addins.
drat - Creation and use of R repositories on GitHub or other repos.
covr - Test coverage for your R package and (optionally) upload the results to coveralls or codecov.
lintr - Static code analysis for R to enforce code style.
staticdocs - Generate static html documentation for an R package.
sinew - Generate roxygen2 skeletons populated with information scraped from the function script.

Logging

Packages for Logging

futile.logger - A logging package in R similar to log4j
log4r - A log4j derivative for R
logging - A logging package emulating the python logging package.

Data Packages

Handy Data Packages

engsoccerdata - English and European soccer results 1871-2016.
gapminder - Excerpt from the Gapminder dataset (data about countries throught the past 50 years).

Other Tools

Handy Tools for R

git2r - Gives you programmatic access to Git repositories from R.

Other Interpreters

Alternative R engines.

CXXR - Refactorising R into C++.
fastR - FastR is an implementation of the R Language in Java atop Truffle and Graal.
pqR - a "pretty quick" implementation of R
renjin - a JVM-based interpreter for R.
rho - Refactor the interpreter of the R language into a fully-compatible, efficient, VM for R.
riposte - a fast interpreter and JIT for R.
TERR - TIBCO Enterprise Runtime for R.

Learning R

Packages for Learning R.

swirl - An interactive R tutorial directly in your R console.
DataScienceR - a list of R tutorials for Data Science, NLP and Machine Learning.

Resources

Where to discover new R-esources.

Websites

R-project - The R Project for Statistical Computing.
R Weekly - Weekly updates about R and Data Science. R Weekly is openly developed on GitHub.
R Bloggers - There are people scattered across the Web who blog about R. This is simply an aggregator of many of those feeds.
Quick-R - An excellent quick reference.
Advanced R - An online version of the Advanced R book.
Efficient R Programming - An online home of the O’Reilly book: Efficient R Programming.
CRAN Task Views - Task Views for CRAN packages.
The R Programming Wikibook - A collaborative handbook for R.
R-users - A job board for R users (and the people who are looking to hire them)
R Cookbook - A problem-oriented website that supports the R Graphics Cookbook.
tryR - A quick course for getting started with R.
RDocumentation - Search through all CRAN, Bioconductor, Github packages and their archives with RDocumentation.

Books

Readings in Applied Data Science - These readings reflect Hadley's personal thoughts about applied data science.
R Books List - List of R Books.
The Art of R Programming - It's a good resource for systematically learning fundamentals such as types of objects, control statements, variable scope, classes and debugging in R.
Free Books - CRAN Contributed Documentation in many languages.
R Cookbook - A quick and simple introduction to conducting many common statistical tasks with R.
Books written as part of the Johns Hopkins Data Science Specialization:
- Exploratory Data Analysis with R - Basic analytical skills for all sorts of data in R.
- R Programming for Data Science - More advanced data analysis that relies on R programming.
- Report Writing for Data Science in R - R-based methods for reproducible research and report generation.
R Packages - A book (in paper and website formats) on writing R packages.
R in Action - This book aims at all levels of users, with sections for beginning, intermediate and advanced R ranging from "Exploring R data structures" to running regressions and conducting factor analyses.
Use R! - This series of inexpensive and focused books from Springer publish shorter books aimed at practitioners. Books can discuss the use of R in a particular subject area, such as Bayesian networks, ggplot2 and Rcpp.
R for SAS and SPSS users - An excelllent resource for users already familiar with SAS or SPSS.
An Introduction to R - A very good introductory text on R, also covers some advanced topics.
Introduction to Statistical Learning with Application in R - A simplified and "operational" version of The Elements of Statistical Learning. Free softcopy provided by its authors.
The R Inferno - Patrick Burns gives insight into R's ins and outs along with its quirks!
R for Data Science - Free book from RStudio developers with emphasis on data science workflow.
Learning R Programming - Learning R as a programming language from basics to advanced topics.

Podcasts

Not So Standard Deviations - The Data Science Podcast.
- @Roger Peng and @Hilary Parker.
R World News - R World News helps you keep up with happenings within the R community.
- @Bob Rudis and @Jay Jacobs.
The R-Podcast - Giving practical advice on how to use R.
- @Eric Nantz.
R Talk - News and discussions of statistical software and language R.
- @Oliver Keyes, @Jasmine Dumas, @Ted Hart and @Mikhail Popov.
R Weekly - Weekly news updates about the R community.

Reference Cards

RStudio Cheat Sheets
R Reference Card 2.0 - Material from R for Beginners by permission of Emmanuel Paradis (Version 2 by Matt Baggott).
Regression Analysis Refcard - R Reference Card for Regression Analysis.
Reference Card for ESS - Reference Card for ESS.

MOOCs

Massive open online courses.

Johns Hopkins University Data Science Specialization - 9 courses including: Introduction to R, literate analysis tools, Shiny and some more.
HarvardX Biomedical Data Science - Introduction to R for the Life Sciences.
Explore Statistics with R - Covers introduction, data handling and statistical analysis in R.

Lists

Great resources for learning domain knowledge.

Books - List of R Books.
ggplot2 Extensions - Showcases of ggplot2 extensions.
Natural Language Processing - NLP related resources in R. @Chinese
Network Analysis - Network Analysis related resources.
Open Data - Using R to obtain, parse, manipulate, create, and share open data.
Posts - Great R blog posts or Rticles.
Package Development - R packages to improve package development.
R Project Conferences - Information about useR! Conferences and DSC Conferences.
RStartHere - A guide to some of the most useful R packages, organized by workflow.
RStudio Addins - List of RStudio addins.
Topic Models - Topic Models learning and R related resources.
Web Technologies - Information about how to use R and the world wide web together.

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

ashishtele/awesome-R