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awesome-R

https://github.com/prakashpn/awesome-R

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Podcasts
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- Not So Standard Deviations - The Data Science Podcast.
- @Roger Peng
- R World News - R World News helps you keep up with happenings within the R community.
- @Bob Rudis
- 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
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
- R Talk - News and discussions of statistical software and language R.
Books
- Learning R Programming - Learning R as a programming language from basics to advanced topics.
- Free Books - CRAN Contributed Documentation in many languages.
- R Cookbook - A quick and simple introduction to conducting many common statistical tasks with R.
- 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.
- 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.
- 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.
Data Manipulation
- ff - Data structures designed to store large datasets.
- lubridate - A set of functions to work with dates and times.
- stringi <img class="emoji" alt="heart" src="https://awesome-r.com/heart.png" height="20" align="absmiddle" width="20"> - ICU based string processing package.
- bigmemory - Shared memory and memory-mapped matrices. The big\* packages provide additional tools including linear models ([biglm](http://cran.r-project.org/web/packages/biglm/index.html)) and Random Forests ([bigrf](https://github.com/aloysius-lim/bigrf)).
Reproducible Research
- brew - Pre-compute data to enhance your report templates. Can be combined with knitr.
- xtable - Export tables to LaTeX or HTML.
- rapport - An R templating system.
- Sweave - A package designed to write LaTeX reports using R.
- texreg - Formatting statistical models in LaTex and HTML.
- ReporteRs - An R package to generate Microsoft Word, Microsoft PowerPoint and HTML reports.
Database Management
- RMySQL - R interface to the MySQL database.
- ROracle - OCI based Oracle database interface for R.
- RODBC - ODBC database access for R.
- RSQLite - SQLite interface for R
- RJDBC - Provides access to databases through the JDBC interface.
- rredis - Redis client for R.
- RCassandra - Direct interface (not Java) to the most basic functionality of Apache Cassanda.
2017
- prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
- 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.
- 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.
- 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.
Integrated Development Environments
- StatET - An Eclipse based IDE for R.
- Deducer - A Menu driven data analysis GUI with a spreadsheet like data editor.
- JASP - A complete package for both Bayesian and Frequentist methods, that is familiar to users of SPSS.
- R Commander - A package that provides a basic graphical user interface.
Graphic Displays
- 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.
- animation - A simple way to produce animated graphics in R, using [ImageMagick](http://imagemagick.org/).
- misc3d - Powerful functions to deal with 3d plots, isosurfaces, etc.
- xkcd - Use xkcd style in graphs.
Web Technologies and Services
- RCurl - General network (HTTP/FTP/...) client interface for R.
- XML <img class="emoji" alt="heart" src="https://awesome-r.com/heart.png" height="20" align="absmiddle" width="20"> - Tools for parsing and generating XML within R.
- OpenCPU <img class="emoji" alt="heart" src="https://awesome-r.com/heart.png" height="20" align="absmiddle" width="20"> - HTTP API for R.
Parallel Computing
- parallel - R started with release 2.14.0 which includes a new package parallel incorporating (slightly revised) copies of packages [multicore](http://cran.r-project.org/web/packages/multicore/index.html) and [snow](http://cran.r-project.org/web/packages/snow/index.html).
- Rmpi - Rmpi provides an interface (wrapper) to MPI APIs. It also provides interactive R slave environment.
- foreach <img class="emoji" alt="heart" src="https://awesome-r.com/heart.png" height="20" align="absmiddle" width="20"> - Executing the loop in parallel.
Language API
- rJava - Low-level R to Java interface.
- rJython - R interface to Python via Jython.
- rPython - Package allowing R to call Python.
- R.matlab - Read and write of MAT files together with R-to-MATLAB connectivity.
- RSPerl - A bidirectional interface for calling R from Perl and Perl from R.
- htmlwidgets - Bring the best of JavaScript data visualization to R.
- RinRuby - a Ruby library that integrates the R interpreter in Ruby.
Machine Learning
- ahaz - Regularization for semiparametric additive hazards regression.
- arules - Mining Association Rules and Frequent Itemsets
- bigrf - Big Random Forests: Classification and Regression Forests for
- bigRR - Generalized Ridge Regression (with special advantage for p >> n
- bmrm - Bundle Methods for Regularized Risk Minimization Package
- Boruta - A wrapper algorithm for all-relevant feature selection
- bst - Gradient Boosting
- C50 - C5.0 Decision Trees and Rule-Based Models
- caret <img class="emoji" alt="heart" src="https://awesome-r.com/heart.png" height="20" align="absmiddle" width="20"> - Classification and Regression Training
- CORElearn - Classification, regression, feature evaluation and ordinal
- CoxBoost - Cox models by likelihood based boosting for a single survival
- 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
- 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
- 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
- gamboostLSS - Boosting Methods for GAMLSS
- gbm - Generalized Boosted Regression Models
- glmnet <img class="emoji" alt="heart" src="https://awesome-r.com/heart.png" height="20" align="absmiddle" width="20"> - Lasso and elastic-net regularized generalized linear models
- glmpath - L1 Regularization Path for Generalized Linear Models and Cox
- 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
- h2o <img class="emoji" alt="heart" src="https://awesome-r.com/heart.png" height="20" align="absmiddle" width="20"> - 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
- LogicReg - Logic Regression
- maptree - Mapping, pruning, and graphing tree models
- mboost - Model-Based Boosting
- mvpart - Multivariate partitioning
- MXNet <img class="emoji" alt="heart" src="https://awesome-r.com/heart.png" height="20" align="absmiddle" width="20"> - MXNet brings flexible and efficient GPU computing and state-of-art deep learning to R.
- ncvreg - Regularization paths for SCAD- and MCP-penalized regression
- 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
- 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)
- relaxo - Relaxed Lasso
- rgenoud - R version of GENetic Optimization Using Derivatives
- rgp - R genetic programming framework
- Rmalschains - Continuous Optimization using Memetic Algorithms with Local
- rminer - Simpler use of data mining methods (e.g. NN and SVM) in
- 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
- Rsomoclu - Parallel implementation of self-organizing maps.
- RWeka - R/Weka interface
- RXshrink - RXshrink: Maximum Likelihood Shrinkage via Generalized Ridge or Least
- sda - Shrinkage Discriminant Analysis and CAT Score Variable Selection
- SDDA - Stepwise Diagonal Discriminant Analysis
- svmpath - svmpath: the SVM Path algorithm
- tgp - Bayesian treed Gaussian process models
- tree - Classification and regression trees
- varSelRF - Variable selection using random forests
- xgboost <img class="emoji" alt="heart" src="https://awesome-r.com/heart.png" height="20" align="absmiddle" width="20"> - eXtreme Gradient Boosting Tree model, well known for its speed and performance.
Optimization
- Rglpk - R/GNU Linear Programming Kit Interface
- ROI - The R Optimization Infrastructure ('ROI') is a sophisticated framework for handling optimization problems in R.
- 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.
Finance
- quantmod <img class="emoji" alt="heart" src="https://awesome-r.com/heart.png" height="20" align="absmiddle" width="20"> - 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 <img class="emoji" alt="heart" src="https://awesome-r.com/heart.png" height="20" align="absmiddle" width="20"> - 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.
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.
- NLP - Basic functions for Natural Language Processing.
- 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.
Bayesian
- 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.
Bioinformatics and Biostatistics
- 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
- 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.
- 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](http://gexf.net/format/), for manipulation with network software like [Gephi](https://gephi.org/) or [Sigma](http://sigmajs.org/).
Spatial
- CRAN Task View: Analysis of Spatial Data - Spatial Analysis related resources.
- rgeos - Interface to Geometry Engine - Open Source
- rgdal - Bindings for the Geospatial Data Abstraction Library
- maptools - Tools for Reading and Handling Spatial Objects
- RColorBrewer - Provides color schemes for maps
- spdep - Spatial Dependence: Weighting Schemes, Statistics and Models
R Development
- Rocker <img class="emoji" alt="heart" src="https://awesome-r.com/heart.png" height="20" align="absmiddle" width="20"> - R configurations for [Docker](https://www.docker.com/).
Logging
- logging - A logging package emulating the python logging package.
Other Interpreters
- 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
- TERR - TIBCO Enterprise Runtime for R.
Websites
- R-project - The R Project for Statistical Computing.
- Advanced R <img class="emoji" alt="heart" src="https://awesome-r.com/heart.png" height="20" align="absmiddle" width="20"> - An online version of the Advanced R book.
- 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](http://shop.oreilly.com/product/0636920023135.do).
- RDocumentation - Search through all CRAN, Bioconductor, Github packages and their archives with RDocumentation.
Reference Cards
- Regression Analysis Refcard - R Reference Card for Regression Analysis.
- R Reference Card 2.0 - Material from R for Beginners by permission of Emmanuel Paradis (Version 2 by Matt Baggott).
MOOCs
- 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
- Posts - Great R blog posts or Rticles.
- R Project Conferences - Information about useR! Conferences and DSC Conferences.
- awesome-awesomeness
- Books - List of R Books.
- CC BY-NC-SA 4.0
- Network Analysis - Network Analysis related resources.
- Natural Language Processing <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f1e8-1f1f3.png" width="20" heigth="20" align="absmiddle" class="emoji" alt=":cn:"> - NLP related resources in R. @Chinese
2018
- Readings in Applied Data Science - These readings reflect Hadley's personal thoughts about applied data science.
- promises - Abstractions for Promise-Based Asynchronous Programming

Programming Languages

R 10 C 1 CSS 1 Ruby 1

Ecosyste.ms: Awesome

awesome-R

Podcasts

Books

Data Manipulation

Reproducible Research

Database Management

2017

Integrated Development Environments

Graphic Displays

Web Technologies and Services

Parallel Computing

Language API

Machine Learning

Optimization

Finance

Natural Language Processing

Bayesian

Bioinformatics and Biostatistics

Network Analysis

Spatial

R Development

Logging

Other Interpreters

Websites

Reference Cards

MOOCs

Lists

2018