A curated list of awesome R packages and tools. Inspired by 66861⭐
14781🍴
awesome-machine-learning).
for 665⭐
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Top 50 CRAN downloaded packages or repos with 400+
- Awesome R
- 2023
- 2020
- 2019
- 2018
- Integrated Development Environments
- Syntax
- Data Manipulation
- Graphic Displays
- Html Widgets
- Reproducible Research
- Web Technologies and Services
- Parallel Computing
- High Performance
- Language API
- Database Management
- Machine Learning
- Natural Language Processing
- Bayesian
- Optimization
- Finance
- Bioinformatics and Biostatistics
- Network Analysis
- Spatial
- R Development
- Logging
- Data Packages
- Other Tools
- Other Interpreters
- Learning R
- Resources
- Other Awesome Lists
- Contributing
- 🌎 VSCode - 🌎 vscode-R + 🌎 vscode-r-lsp VSCode R Langauage Support
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gt) - Easily generate information-rich, publication-quality tables from R- 🌎 lightgbm - Light Gradient Boosting Machine.
- 🌎 torch - Tensors and Neural Networks with 'GPU' Acceleration.
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ggforce) - ggplot2 extension framework2092⭐
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rayshader) - 2D and 3D data visualizations via rgl625⭐
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vroom) - Fast reading of delimited files
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.
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Sublime Text + R-IDE) - Add-on package for Sublime Text 2/3.25⭐
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TextMate + r.tmblundle) - Add-on package for TextMate 1/2.- StatET - An Eclipse based IDE for R.
- R Commander - A package that provides a basic graphical user interface.
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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.
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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.
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radian ) (formerly rtichoke) - A modern R console with syntax highlighting.- 🌎 RKWard - An extensible IDE/GUI for R.
Packages change the way you use R.
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magrittr ) - Let's pipe it.169⭐
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pipeR) - Multi-paradigm Pipeline Implementation.217⭐
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lambda.r) - Functional programming and simple pattern matching in R.1298⭐
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purrr) - A FP package for R in the spirit of underscore.js.
Packages for cooking data.
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dplyr ) - Fast data frames manipulation and database query.3652⭐
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data.table ) - Fast data manipulation in a short and flexible syntax.210⭐
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reshape2 ) - Flexible rearrange, reshape and aggregate data.1390⭐
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tidyr) - Easily tidy data with spread and gather functions.20⭐
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broom ) - Convert statistical analysis objects into tidy data frames.204⭐
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rlist) - A toolbox for non-tabular data manipulation with lists.- ff - Data structures designed to store large datasets.
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lubridate) - A set of functions to work with dates and times.309⭐
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stringi ) - ICU based string processing package.620⭐
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stringr ) - Consistent API for string processing, built on top of stringi.127⭐
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bigmemory) - Shared memory and memory-mapped matrices. The big* packages provide additional tools including linear models (biglm) and Random Forests (91⭐
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bigrf)).677⭐
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fuzzyjoin) - Join tables together on inexact matching.1692⭐
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tidyverse) - Easily install and load packages from the tidyverse.149⭐
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snakecase) - Automatically parse and convert strings into cases like snake or camel among others.519⭐
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DataExplorer) - Fast exploratory data analysis with minimum code.
Packages for reading and writing data of different formats.
- 🌎 arrow - An interface to the Arrow C++ library.
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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.
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haven) - Improved methods to import SPSS, Stata and SAS files in R.384⭐
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jsonlite) - A robust and quick way to parse JSON files in R.411⭐
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qs) - Quick serialization of R objects.- 🌎 readxl - Read excel files (.xls and .xlsx) into R.
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readr ) - A fast and friendly way to read tabular data into R.605⭐
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rio) - A Swiss-Army Knife for Data I/O.?⭐
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readODS) - Read OpenDocument Spreadsheets into R as data.frames.36⭐
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RcppTOML) - Rcpp Bindings to C++ parser for TOML files.625⭐
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vroom) - Fast reading of delimited files.- 🌎 writexl - Portable, light-weight data frame to xlsx exporter for R.
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yaml) - R package for converting objects to and from YAML.
Packages for showing data.
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ggplot2 ) - An implementation of the Grammar of Graphics.528⭐
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ggfortify) - A unified interface to ggplot2 popular statistical packages using one line of code.1227⭐
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ggrepel) - Repel overlapping text labels away from each other.671⭐
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ggalt) - Extra Coordinate Systems, Geoms and Statistical Transformations for ggplot2.2072⭐
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ggstatsplot) - ggplot2 Based Plots with Statistical Details858⭐
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ggtree) - Visualization and annotation of phylogenetic tree.393⭐
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ggtech) - ggplot2 tech themes and scales- 🌎 ggplot2 Extensions - Showcases of ggplot2 extensions.
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lattice) - A powerful and elegant high-level data visualization system.319⭐
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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.
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extrafont) - Tools for using fonts in R graphics.487⭐
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showtext) - Enable R graphics device to show text using system fonts.207⭐
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animation) - A simple way to produce animated graphics in R, using ImageMagick.1957⭐
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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.
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hrbrthemes) - 🔏 Opinionated, typographic-centric ggplot2 themes and theme components.778⭐
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waffle) - 🍁 Make waffle (square pie) charts in R.154⭐
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dendextend) - visualizing, adjusting and comparing trees of hierarchical clustering.9⭐
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idendro) - interactive exploration of dendrograms (trees of hierarchical clustering).- 🌎 r2d3 - R Interface to D3 Visualizations
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Patchwork) - Combine separate ggplots into the same graphic.- plot3D - Plotting Multi-Dimensional Data
- 🌎 plot3Drgl - Plotting Multi-Dimensional Data - Using 'rgl'
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httpgd) - Asynchronous http server graphics device for R.
Packages for interactive visualizations.
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heatmaply) - Interactive heatmaps with D3.237⭐
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d3heatmap) - Interactive heatmaps with D3 (no longer maintained).- DataTables - Displays R matrices or data frames as interactive HTML tables.
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DiagrammeR ) - Create JS graph diagrams and flowcharts in R.364⭐
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dygraphs) - Charting time-series data in R.699⭐
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formattable ) - Formattable Data Structures.715⭐
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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.
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scatterD3) - Interactive scatterplots with D3.2595⭐
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plotly ) - Interactive ggplot2 and Shiny plotting with 🌎 plot.ly.1192⭐
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rCharts ) - Interactive JS Charts from R.- rbokeh - R Interface to Bokeh.
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threejs) - Interactive 3D scatter plots and globes.670⭐
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timevis) - Create fully interactive timeline visualizations.548⭐
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visNetwork) - Using vis.js library for network visualization.401⭐
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wordcloud2) - R interface to wordcloud2.js.726⭐
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highcharter) - R wrapper for highcharts based on htmlwidgets602⭐
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echarts4r) - R wrapper to Echarts version 4
Packages for literate programming and reproducible workflows.
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knitr ) - Easy dynamic report generation in R.516⭐
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redoc) - Reversible Reproducible Documents1003⭐
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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.
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slidify ) - Generate reproducible html5 slides from R markdown.- 🌎 Sweave - A package designed to write LaTeX reports using R.
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texreg) - Formatting statistical models in LaTex and HTML.164⭐
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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.
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ezknitr) - Avoid the typical working directory pain when using 'knitr'- 🌎 targets - Make-like pipeline tool for organizing and running data science workflows, automatically skipping steps that have already been done. Supported by 🌎 rOpenSci.
- R Suite - A package to design flexible and reproducible deployment workflows for R.
- 🌎 kable - Build fancy HTML or 'LaTeX' tables using 'kable()' from 'knitr'.
Packages to surf the web.
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Web Technologies List) - Information about how to use R and the world wide web together.5418⭐
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shiny ) - Easy interactive web applications with R. See also814⭐
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awesome-rshiny)741⭐
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shinyjs) - Easily improve the user interaction and user experience in your Shiny apps in seconds.- RCurl - General network (HTTP/FTP/...) client interface for R.
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curl) - A Modern and Flexible Web Client for R.988⭐
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httr ) - User-friendly RCurl wrapper.230⭐
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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.
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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.
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Rfacebook) - Access to Facebook API via R.127⭐
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RSiteCatalyst) - R client library for the Adobe Analytics.1411⭐
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plumber) - A library to expose existing R code as web API.- 🌎 golem - A framework for building production-grade Shiny apps.
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.
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SparkR ) - R frontend for Spark.163⭐
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DistributedR) - A scalable high-performance platform from HP Vertica Analytics Team.118⭐
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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.
Packages for making R faster.
- Rcpp - Rcpp provides a powerful API on top of R, make function in R extremely faster.
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Rcpp11) - Rcpp11 is a complete redesign of Rcpp, targetting C++11.- compiler - speeding up your R code using the JIT
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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.
Packages for other languages.
- rJava - Low-level R to Java interface.
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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.
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runr) - Run Julia and Bash from R.146⭐
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RJulia) - R package Call Julia.270⭐
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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.
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RcppOctave) - Seamless Interface to Octave and Matlab.- RSPerl - A bidirectional interface for calling R from Perl and Perl from R.
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V8) - Embedded JavaScript Engine.- htmlwidgets - Bring the best of JavaScript data visualization to R.
- rpy2 - Python interface for R.
Packages for managing data.
- RODBC - ODBC database access for R.
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DBI) - Defines a common interface between the R and database management systems.247⭐
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elastic) - Wrapper for the Elasticsearch HTTP API286⭐
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mongolite) - Streaming Mongo Client for R394⭐
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odbc) - Connect to ODBC databases (using the DBI interface)134⭐
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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.
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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.
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rmongodb) - R driver for MongoDB.95⭐
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redux) - Redis client for R.- RCassandra - Direct interface (not Java) to the most basic functionality of Apache Cassandra.
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RHive) - R extension facilitating distributed computing via Apache Hive.238⭐
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RNeo4j) - Neo4j graph database driver.79⭐
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rpostgis) - R interface to PostGIS database and get spatial objects in R.
Packages for making R cleverer.
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anomalize) - Tidy Anomaly Detection using Twitter's AnomalyDetection method.3585⭐
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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
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BreakoutDetection ) - Breakout Detection via Robust E-Statistics from Twitter.- bst - Gradient Boosting
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CausalImpact ) - Causal inference using Bayesian structural time-series models.- C50 - C5.0 Decision Trees and Rule-Based Models
- caret - Classification and Regression Training
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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
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fable) - a collection of commonly used univariate and multivariate time series forecasting models18837⭐
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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.
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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
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Machine Learning For Hackers )1651⭐
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mlr) - Extensible framework for classification, regression, survival analysis and clustering [DEPRECIATED]963⭐
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mlr3 ) - Next generation extensible framework for classification, regression, survival analysis and clustering- mvpart - Multivariate partitioning
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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).
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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
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SuperLearner) and subsemble - Multi-algorithm ensemble learning packages.521⭐
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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
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xgboost ) - eXtreme Gradient Boosting Tree model, well known for its speed and performance.
Packages for Natural Language Processing.
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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.
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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.
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quanteda) - R functions for Quantitative Analysis of Textual Data.228⭐
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Topic Models Resources) - Topic Models learning and R related resources.?⭐
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NLP for ) - NLP related resources in R. @Chinese93⭐
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MonkeyLearn) - 🐒 R package for text analysis with Monkeylearn 🐒.- tidytext - Implementing tidy principles of Hadley Wickham to text mining.
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utf8) - Manipulating and printing UTF-8 text that fixes multiple bugs in R's UTF-8 handling.- 🌎 corporaexplorer - Dynamic exploration of text collections
Packages for Bayesian Inference.
- 🌎 brms - High-level interface for Bayesian regression models using Stan.
- 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.
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.
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.
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scorecard) - Credit Risk Scorecard
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.
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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.
Packages to construct, analyze and visualize network data.
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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.
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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.
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visNetwork) - Using vis.js library for network visualization.551⭐
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tidygraph) - A tidy API for graph manipulation
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.
770⭐
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ggmap) - Plotting maps in R with ggplot2.257⭐
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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
198⭐
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gstat) - Spatial and spatio-temporal geostatistical modelling, prediction and simulation.74⭐
20🍴
spacetime) - R classes and methods for spatio-temporal data.- 🌎 RColorBrewer - Provides color schemes for maps
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spatstat) - Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests- 🌎 spdep - Spatial Dependence: Weighting Schemes, Statistics and Models
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tigris) - Download and use Census TIGER/Line shapefiles in R- 🌎 GWmodel - Geographically-Weighted Models
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tmap) - R package for thematic maps
Packages for packages.
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Package Development List) - R packages to improve package development.- 🌎 promises - Abstractions for Promise-Based Asynchronous Programming
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761🍴
devtools ) - Tools to make an R developer's life easier.898⭐
321🍴
testthat ) - An R package to make testing fun.417⭐
57🍴
R6 ) - simpler, faster, lighter-weight alternative to R's built-in classes.203⭐
43🍴
pryr ) - Make it easier to understand what's going on in R.605⭐
233🍴
roxygen ) - Describe your functions in comments next to their definitions.105⭐
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lineprof) - Visualise line profiling results in R.1037⭐
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renv ) - Make your R projects more isolated, portable, and reproducible.?⭐
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installr) - Functions for installing softwares from within R (for Windows).?⭐
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import) - An import mechanism for R.880⭐
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box ) - A modern module system for R.- Rocker - R configurations for 🌎 Docker.
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RStudio Addins) - List of RStudio addins.154⭐
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drat) - Creation and use of R repositories on GitHub or other repos.338⭐
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covr) - Test coverage for your R package and (optionally) upload the results to 🌎 coveralls or 🌎 codecov.1213⭐
186🍴
lintr) - Static code analysis for R to enforce code style.730⭐
336🍴
staticdocs) - Generate static html documentation for an R package.166⭐
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sinew) - Generate roxygen2 skeletons populated with information scraped from the function script.
Packages for Logging
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futile.logger) - A logging package in R similar to log4j93⭐
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log4r) - A log4j derivative for R- 🌎 logging - A logging package emulating the python logging package.
Handy Data Packages
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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.
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2🍴
ICON) - complex systems & networks datasets from the Index of COmplex Networks (ICON) database webpage.14⭐
2🍴
RCOBOLDI) - Import COBOL CopyBook data files directly into R as properly structured data frames. Package builds are available via1⭐
0🍴
Drat) and 🌎 DockerHub.
Handy Tools for R
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git2r) - Gives you programmatic access to Git repositories from R.- 🌎 Conda - Most R packages are available through the Conda polyglot cross-platform dependency manager.
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.
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rho) - Refactor the interpreter of the R language into a fully-compatible, efficient, VM for R.90⭐
10🍴
riposte) - a fast interpreter and JIT for R.- TERR - TIBCO Enterprise Runtime for R.
Packages for Learning R.
- swirl - An interactive R tutorial directly in your R console.
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DataScienceR ) - a list of R tutorials for Data Science, NLP and Machine Learning.
Where to discover new R-esources.
- 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.
- 🌎 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.
- 🌎 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)
- R for Data Science by Garrett Grolemund & Hadley Wickham - Free book from RStudio developers with emphasis on data science workflow.
- R Cookbook by Winston Chang - A problem-oriented online book that supports his R Graphics Cookbook, 2nd ed. (2018).
- 🌎 Advanced R, 2nd ed. by Hadley Wickham (2019) - An online version of the Advanced R book.
- 🌎 R Packages, 2nd ed. by Hadley Wickham & Jennifer Bryan - A book (in paper and website formats) on writing R packages.
- Books written as part of the Johns Hopkins Data Science Specialization:
- 🌎 Exploratory Data Analysis with R by Roger D. Peng (2016) - Basic analytical skills for all sorts of data in R.
- 🌎 R Programming for Data Science by Roger D. Peng (2019) - More advanced data analysis that relies on R programming.
- 🌎 Report Writing for Data Science in R by Roger D. Peng (2019) - R-based methods for reproducible research and report generation.
- R for SAS and SPSS users by Bob Muenchen (2012) - An excellent resource for users already familiar with SAS or SPSS.
- Introduction to Statistical Learning with Application in R by Gareth James et al. (2017) - A simplified and "operational" version of The Elements of Statistical Learning. Free softcopy provided by its authors.
- The R Inferno by Patrick Burns (2011) - Patrick Burns gives insight into R's ins and outs along with its quirks!
- 🌎 Efficient R Programming by Colin Gillespie & Robin Lovelace (2017) - An online version of the O’Reilly book: Efficient R Programming.
- 🌎 The R Programming Wikibook - A collaborative handbook for R.
- 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.
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R Books List) - List of R Books.1616⭐
229🍴
Readings in Applied Data Science) - These readings reflect Hadley's personal thoughts about applied data science.
- 🌎 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.
- 🌎 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.
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.
Great resources for learning domain knowledge.
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Books) - List of R Books.- 🌎 ggplot2 Extensions - Showcases of ggplot2 extensions.
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Natural Language Processing ) - NLP related resources in R. @Chinese3638⭐
613🍴
Network Analysis) - Network Analysis related resources.199⭐
47🍴
Open Data) - Using R to obtain, parse, manipulate, create, and share open data.- Posts - Great R blog posts or Rticles.
42⭐
6🍴
Package Development) - R packages to improve package development.- 🌎 R Project Conferences - Information about useR! Conferences and DSC Conferences.
665⭐
218🍴
RStartHere) - A guide to some of the most useful R packages, organized by workflow.848⭐
142🍴
RStudio Addins) - List of RStudio addins.228⭐
53🍴
Topic Models) - Topic Models learning and R related resources.175⭐
66🍴
Web Technologies) - Information about how to use R and the world wide web together.
R communities and package collections (in alphabetical order):
- rOpenGov Open government data, computational social science, digital humanities
- rOpenHealth Public health data
- 🌎 rOpenSci Open science
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fable) - univariate and multivariate time series forecasting models- 🌎 r2d3 - R Interface to D3 Visualizations
453⭐
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rstats-ed) - List of courses teaching R- 🌎 promises - Abstractions for Promise-Based Asynchronous Programming
- 🌎 tinytex - A lightweight and easy-to-maintain LaTeX distribution
1616⭐
229🍴
Readings in Applied Data Science) - These readings reflect Hadley's personal thoughts about applied data science.
18837⭐
4557🍴
prophet) - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.1692⭐
291🍴
tidyverse) - Easily install and load packages from the tidyverse1298⭐
276🍴
purrr) - A functional programming toolkit for R1252⭐
95🍴
hrbrthemes) - 🔏 Opinionated, typographic-centric ggplot2 themes and theme components1505⭐
281🍴
xaringan) - Create HTML5 slides with R Markdown and the JavaScript library1752⭐
334🍴
blogdown) - Create Blogs and Websites with R Markdown727⭐
65🍴
glue) - Glue strings to data in R. Small, fast, dependency free interpreted string literals.338⭐
119🍴
covr) - Test coverage reports for R1213⭐
186🍴
lintr) - Static Code Analysis for R742⭐
81🍴
reprex) - Render bits of R code for sharing, e.g., on GitHub or StackOverflow.1688⭐
334🍴
reticulate) - R Interface to Python1330⭐
321🍴
tensorflow) - TensorFlow for R113⭐
4🍴
utf8) - Manipulating and printing UTF-8 text that fixes multiple bugs in R's UTF-8 handling.2504⭐
162🍴
Patchwork) - Combine separate ggplots into the same graphic.
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awesome-awesomeness)10162⭐
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lists)814⭐
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awesome-rshiny)
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
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qinwf/awesome-R)