GitHub - vnijs/awesome-R: A curated list of awesome R frameworks, packages and software.

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+

Integrated Development Environments

Integrated Development Environment

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.

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.

HTML Widgets

Packages for interactive visualizations.

Reproducible Research

Packages for literate programming.

Web Technologies and Services

Packages to surf the web.

Parallel Computing

Packages for parallel computing.

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.
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).
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.

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.

minqa - Derivative-free optimization algorithms by quadratic approximation.
nloptr - NLopt is a free/open-source library for nonlinear optimization.
lpSolve - Interface to Lp_solve to Solve Linear/Integer Programs.

Finance

Packages for dealing with money.

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.
ddpcr - Analysis and visualization of Droplet Digital PCR data.

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.
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

R Development

Packages for packages.

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 paste 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.
DataCamp - Learn R data analytics online.
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

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

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.
R Markdown Cheat sheet - Quick reference guide for writing reports with R Markdown.
Shiny Cheat sheet - Quick reference guide for building Shiny apps.
ggplot2 Cheat sheet - Quick reference guide for data visualisation with ggplot2.
devtools Cheat sheet - Quick reference guide to package development in R.

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.
Explore Statistics with R - Covers introduction, data handling and statistical analysis in R.

Lists

Great resources for learning domain knowledge.

Other Awesome Lists

Contributing

Your contributions are always welcome!

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