Awesome R

A curated list of awesome R frameworks, packages and software. Inspired by awesome-machine-learning.

Awesome R
Resources
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Contributing

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.
IPython - An interactive Python interpreter, and it supports execution of R code while capturing both output and figures.
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.
JASP - A complete package for both Bayesian and Frequentist methods, that is familiar to users of SPSS.

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.

Graphic Displays

Packages for showing data.

ggplot2 - An implementation of the Grammar of Graphics.
lattice - A powerful and elegant high-level data visualization system.
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.
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.

HTML Widgets

Packages for interactive visualizations.

d3heatmap - Interactive heatmaps with D3.
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.
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.

Reproducible Research

Packages for literate programming.

knitr - Easy dynamic report generation in R.
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.

Web Technologies and Services

Packages to surf the web.

shiny - Easy interactive web applications with R.
RCurl - General network (HTTP/FTP/...) client interface 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.

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.
SparkR - R frontend for Spark.

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.
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
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.

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
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
Introduction to Statistical Learning
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
LogicReg - Logic Regression
maptree - Mapping, pruning, and graphing tree models
mboost - Model-Based Boosting
Machine Learning For Hackers
mvpart - Multivariate partitioning
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).
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)
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.

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.
tmcn - A Text mining toolkit for international characters especially for Chinese.
Rwordseg - Chinese word segmentation.
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.

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.

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

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.

igraph - A collection of network analysis tools.
network - Basic tools to manipulate relational data in R.
sna - Basic network measures and visualization tools.
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.

R Development

Packages for packages.

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.
Rocker - R configurations for Docker.
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.

Other Interpreters

Alternative R engines.

renjin - a JVM-based interpreter for R.
pqR - a "pretty quick" implementation of R
fastR - FastR is an implementation of the R Language in Java atop Truffle and Graal.
riposte - a fast interpreter and JIT for R.
TERR - TIBCO Enterprise Runtime for R.
RRE - Revolution R Enterprise.
CXXR - Refactorising R into C++.

Learning R

Packages for Learning R.

swirl - An interactive R tutorial directly in your R console.

Resources

Where to discover new R-esources.

Websites

R-project - The R Project for Statistical Computing.
R Bloggers - There are people scattered across the Web who blog about R. This is simply an aggregator of many of those feeds.
DataCamp - Learn R data analytics online.
Quick-R - An excellent quick reference.
Advanced R - An in-progress book site for Advanced R.
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.

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.
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.

Reference Cards

R Reference Card 2.0 - Material from R for Beginners by permission of Emmanuel Paradis (Version 2 by Matt Baggott).
Data Mining Refcard - R Reference Card for Data Mining.
Regression Analysis Refcard - R Reference Card for Regression Analysis.
Reference Card for ESS - Reference Card for ESS.
R Markdown Cheat sheet - Quick reference guide for writing reports with R Markdown.
Shiny Cheat sheet - Quick reference guide for building Shiny apps.

MOOCs

Massive open online courses.

The Analytics Edge - Hands-on introduction to data analysis with R from MITx.
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.

Other Awesome Lists

Contributing

Your contributions are always welcome!

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