Awesome R
A curated list of awesome R packages and tools. Inspired by awesome-machine-learning.
for Top 50 CRAN downloaded packages or repos with 400+
2020
- VSCode - vscode-R + vscode-r-lsp VSCode R Langauage Support
- gt - Easily generate information-rich, publication-quality tables from R
- lightgbm - Light Gradient Boosting Machine.
- torch - Tensors and Neural Networks with ‘GPU’ Acceleration.
2019
- ggforce - ggplot2 extension framework
- rayshader - 2D and 3D data visualizations via rgl
- vroom - Fast reading of delimited files
Integrated Development Environments
Integrated Development Environment
- VSCode - vscode-R + vscode-r-lsp VSCode R Langauage Support
- 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.
- Microsoft R - 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.
- Jamovi and JASP - Desktop software for both Bayesian and Frequentist methods, using a UI familiar to SPSS users.
- Bio7 - An IDE contains tools for model creation, scientific image analysis and statistical analysis for ecological modelling.
- RTVS - R Tools for Visual Studio.
- radian (formerly 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.
- 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.
- 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.
- snakecase - Automatically parse and convert strings into cases like snake or camel among others.
- DataExplorer - Fast exploratory data analysis with minimum code.
Data Formats
Packages for reading and writing data of different formats.
- arrow - An interface to the Arrow C++ library.
- feather - Fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow.
- fst - Lightning Fast Serialization of Data Frames for R.
- haven - Improved methods to import SPSS, Stata and SAS files in R.
- jsonlite - A robust and quick way to parse JSON files in R.
- qs - Quick serialization of R objects.
- readxl - Read excel files (.xls and .xlsx) into R.
- readr - A fast and friendly way to read tabular data into R.
- rio - A Swiss-Army Knife for Data I/O.
- readODS - Read OpenDocument Spreadsheets into R as data.frames.
- RcppTOML - Rcpp Bindings to C++ parser for TOML files.
- vroom - Fast reading of delimited files.
- writexl - Portable, light-weight data frame to xlsx exporter for R.
- yaml - R package for converting objects to and from YAML.
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.
- ggstatsplot - ggplot2 Based Plots with Statistical Details
- 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.
- idendro - interactive exploration of dendrograms (trees of hierarchical clustering).
- r2d3 - R Interface to D3 Visualizations
- Patchwork - Combine separate ggplots into the same graphic.
- plot3D - Plotting Multi-Dimensional Data
- plot3Drgl - Plotting Multi-Dimensional Data - Using ‘rgl’
- httpgd - Asynchronous http server graphics device for R.
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
- echarts4r - R wrapper to Echarts version 4
Reproducible Research
Packages for literate programming and reproducible workflows.
- knitr - Easy dynamic report generation in R.
- redoc - Reversible Reproducible Documents
- 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.
- officer - An R package to generate Microsoft Word, Microsoft PowerPoint and HTML reports.
- flextable - An R package to embed complex tables (merged cells, multi-level headers and footers, conditional formatting) in Microsoft Word, Microsoft PowerPoint and HTML reports. It cooperates with the [officer] package and integrates with [rmarkdown] 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.
- R Suite - A package to design flexible and reproducible deployment workflows for R.
- kable - Build fancy HTML or ‘LaTeX’ tables using ‘kable()’ from ‘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.
- xml2 - Optimized tools for parsing and generating XML within R.
- rvest - Simple web scraping for R, using CSSSelect or XPath syntax.
- OpenCPU - HTTP API for R handling concurrent calls, based on the Apache2 web server, to expose R code as REST web services and create full-sized, multi-page web applications.
- 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.
- golem - A framework for building production-grade Shiny apps.
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
- cpp11 - cpp11 is a header-only R package that helps R package developers handle R objects with C++ code. It’s similar to Rcpp but with different design trade-offs and features.
Language API
Packages for other languages.
- rJava - Low-level R to Java interface.
- jvmr - Integration of R, Java, and Scala.
- reticulate - Interface to ‘Python’.
- 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.
- RPostgres - an DBI-compliant interface to the postgres database.
- 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.
- redux - Redis client for R.
- RCassandra - Direct interface (not Java) to the most basic functionality of Apache Cassandra.
- 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.
- anomalize - Tidy Anomaly Detection using Twitter’s AnomalyDetection method.
- 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
- fable - a collection of commonly used univariate and multivariate time series forecasting models
- 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.
- L0Learn - Fast algorithms for best subset selection
- 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
- lightgbm - Light Gradient Boosting Machine.
- lme4 - Mixed-effects models
- nlme - Mixed-effects models, handling user-specified matrix of residual covariance, relevant for the analysis of repeated observations in longitudinal trials
- glmmTMB - Generalized mixed-effects models, handling user-specified matrix of residual covariance, relevant for the analysis of repeated observations in longitudinal trials
- 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 [DEPRECIATED]
- mlr3 - Next generation 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.
- survminer - Survival Analysis & Visualization
- survival - Survival Analysis
- svmpath - svmpath: the SVM Path algorithm
- tgp - Bayesian treed Gaussian process models
- tidymodels - A collection of packages for modeling and statistical analysis that share the underlying design philosophy, grammar, and data structures of the tidyverse.
- torch - Tensors and Neural Networks with ‘GPU’ Acceleration.
- 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.
- corporaexplorer - Dynamic exploration of text collections
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.
- pedquant - Public Economic Data and Quantitative Analysis
- 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.
- scorecard - Credit Risk Scorecard
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.
- lme4 - Generalized mixed-effects models.
- nlme - Mixed-effects models, handling user-specified matrix of residual covariance, relevant for the anaysis of repeated observations in longitudinal trials.
- glmmTMB - Generalized mixed-effects models, handling user-specified matrix of residual covariance, relevant for the anaysis of repeated observations in longitudinal trials.
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.
- tidygraph - A tidy API for graph manipulation
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
- GWmodel - Geographically-Weighted Models
- tmap - R package for thematic maps
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 through the past 50 years).
- wbstats - Tools for searching and downloading data and statistics from the World Bank Data API and the World Bank Data Catalog API.
- ICON - complex systems & networks datasets from the Index of COmplex Networks (ICON) database webpage.
- RCOBOLDI - Import COBOL CopyBook data files directly into R as properly structured data frames. Package builds are available via Drat and DockerHub.
Other Tools
Handy Tools for R
- git2r - Gives you programmatic access to Git repositories from R.
- Conda - Most R packages are available through the Conda polyglot cross-platform dependency manager.
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
Manuals
- R-project - The R Project for Statistical Computing.
- An Introduction to R - A very good introductory text on R, also covers some advanced topic. See also the
Manuals
section on CRAN
- CRAN Contributed Docs - CRAN Contributed Documentation in many languages.
- Quick-R - An excellent quick reference
- tryR - A quick course for getting started with R.
Tools and References
- RDocumentation - Search through all CRAN, Bioconductor, Github packages and their archives with RDocumentation.
- rdrr.io - Find R package documentation. Try R packages in your browser.
- CRAN Task Views - Task Views for CRAN packages.
- rnotebook.io - Create online R Jupyter Notebooks for free.
News and Info
- 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.
- R-users - A job board for R users (and the people who are looking to hire them)
Books
Free and Online
Paid
- 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, 2nd ed. by JD Long & Paul Teetor (2019) - A quick and simple introduction to conducting many common statistical tasks with R.
- 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! Series by Springer - 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.
- Learning R Programming - Learning R as a programming language from basics to advanced topics.
Book/monograph Lists and Reviews
Podcasts
Reference Cards
MOOCs
Massive open online courses.
Lists
Great resources for learning domain knowledge.
R Ecosystems
R communities and package collections (in alphabetical order):
2018
- fable - univariate and multivariate time series forecasting models
- 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.
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