How To Download R Packages From Github
Awesome R
A curated list of awesome R packages and tools. Inspired by awesome-machine-learning.
for Peak 50 CRAN downloaded packages or repos with 400+
- Awesome R
- 2020
- 2019
- 2018
- Integrated Evolution Environments
- Syntax
- Data Manipulation
- Graphic Displays
- Html Widgets
- Reproducible Research
- Web Technologies and Services
- Parallel Calculating
- High Performance
- Language API
- Database Direction
- Machine Learning
- Natural Language Processing
- Bayesian
- Optimization
- Finance
- Bioinformatics and Biostatistics
- Network Analysis
- Spatial
- R Evolution
- Logging
- Data Packages
- Other Tools
- Other Interpreters
- Learning R
- Resources
- Websites
- Books
- Podcasts
- Reference Cards
- MOOCs
- Lists
- Other Awesome Lists
- Contributing
2020
- VSCode - vscode-R + vscode-r-lsp VSCode R Langauage Support
- gt - Hands generate data-rich, publication-quality tables from R
- lightgbm
- Light Gradient Boosting Machine. - torch - Tensors and Neural Networks with 'GPU' Acceleration.
2019
Integrated Development Environments
Integrated Development Surroundings
Syntax
Packages change the way yous employ R.
- magrittr
- Permit's pipe it. - pipeR - Multi-prototype Pipeline Implementation.
- lambda.r - Functional programming and simple pattern matching in R.
- purrr - A FP bundle for R in the spirit of underscore.js.
Data Manipulation
Packages for cooking data.
Data Formats
Packages for reading and writing information of unlike formats.
Graphic Displays
Packages for showing information.
- ggplot2
- An implementation of the Grammar of Graphics. - ggfortify - A unified interface to ggplot2 popular statistical packages using ane 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 practice 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 testify text using arrangement fonts.
- animation - A simple way to produce animated graphics in R, using ImageMagick.
- gganimate - Create like shooting fish in a barrel animations with ggplot2.
- misc3d - Powerful functions to deal with 3d plots, isosurfaces, etc.
- xkcd - Use xkcd style in graphs.
- imager - An epitome processing package based on CImg library to work with images and brandish them.
- hrbrthemes -
🔏 Opinionated, typographic-centric ggplot2 themes and theme components. - waffle -
🍁 Make waffle (square pie) charts in R. - dendextend - visualizing, adjusting and comparing copse of hierarchical clustering.
- idendro - interactive exploration of dendrograms (trees of hierarchical clustering).
- r2d3 - R Interface to D3 Visualizations
- Patchwork - Combine separate ggplots into the aforementioned 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.
Reproducible Enquiry
Packages for literate programming and reproducible workflows.
Web Technologies and Services
Packages to surf the web.
Parallel Computing
Packages for parallel computing.
Loftier Functioning
Packages for making R faster.
- Rcpp
- Rcpp provides a powerful API on summit of R, brand role in R extremely faster. - Rcpp11 - Rcpp11 is a complete redesign of Rcpp, targetting C++11.
- compiler - speeding upwards your R lawmaking using the JIT
- cpp11 - cpp11 is a header-only R packet that helps R package developers handle R objects with C++ code. It'southward similar to Rcpp simply with different design trade-offs and features.
Language API
Packages for other languages.
- rJava - Low-level R to Coffee interface.
- jvmr - Integration of R, Java, and Scala.
- reticulate
- Interface to 'Python'. - rJython - R interface to Python via Jython.
- rPython - Packet allowing R to phone call Python.
- runr - Run Julia and Fustigate from R.
- RJulia - R bundle Phone 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.
- rubberband - 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 admission to databases through the JDBC interface.
- rmongodb - R driver for MongoDB.
- redux - Redis client for R.
- RCassandra - Direct interface (non Java) to the most bones 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.
Car Learning
Packages for making R cleverer.
- anomalize - Tidy Bibelot Detection using Twitter's AnomalyDetection method.
- AnomalyDetection
- AnomalyDetection R package from Twitter. - ahaz - Regularization for semiparametric condiment hazards regression.
- arules - Mining Association Rules and Frequent Itemsets
- bigrf - Big Random Forests: Classification and Regression Forests for Big Data Sets
- bigRR - Generalized Ridge Regression (with special advantage for p >> n cases)
- bmrm - Parcel Methods for Regularized Take chances Minimization Packet
- Boruta - A wrapper algorithm for all-relevant feature pick
- BreakoutDetection
- Breakout Detection via Robust Eastward-Statistics from Twitter. - bst - Slope Boosting
- CausalImpact
- Causal inference using Bayesian structural fourth dimension-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 past likelihood based boosting for a single survival endpoint or competing risks
- Cubist - Dominion- and Case-Based Regression Modeling
- e1071 - Misc Functions of the Section of Statistics (e1071), TU Wien
- globe - Multivariate Adaptive Regression Spline Models
- elasticnet - Elastic-Net for Sparse Estimation and Thin 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 serial data that has multiple seasonality with linear or non-linear growth. - FSelector - A characteristic option framework, based on subset-search or feature ranking approches.
- frbs - Fuzzy Dominion-based Systems for Classification and Regression Tasks
- GAMBoost - Generalized linear and additive models by likelihood based boosting
- gamboostLSS - Boosting Methods for GAMLSS
- gbm - Generalized Additional Regression Models
- glmnet
- Lasso and elastic-cyberspace 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 Cocky-Organising Maps.
- L0Learn - Fast algorithms for all-time subset selection
- lars - Least Bending Regression, Lasso and Forrard Stagewise
- lasso2 - L1 constrained interpretation aka 'lasso'
- LiblineaR - Linear Predictive Models Based On The Liblinear C/C++ Library
- lightgbm
- Light Gradient Boosting Machine. - lme4
- Mixed-furnishings 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, treatment 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 nomenclature, regression, survival analysis and clustering - mvpart - Multivariate partitioning
- MXNet
- MXNet brings flexible and efficient GPU computing and land-of-art deep learning to R. - ncvreg - Regularization paths for SCAD- and MCP-penalized regression models
- nnet - eed-forrad Neural Networks and Multinomial Log-Linear Models
- oblique.tree - Oblique Trees for Classification Information
- 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 penalisation 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 Copse with Random Effects for Longitudinal (Console) 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 information mining methods (east.g. NN and SVM) in classification and regression
- ROCR - Visualizing the performance of scoring classifiers
- RoughSets - Data Analysis Using Rough Prepare and Fuzzy Crude Ready 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 Assay and CAT Score Variable Pick
- SDDA - Stepwise Diagonal Discriminant Analysis
- SuperLearner and subsemble - Multi-algorithm ensemble learning packages.
- survminer - Survival Assay & 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 assay that share the underlying design philosophy, grammar, and data structures of the tidyverse.
- torch - Tensors and Neural Networks with 'GPU' Acceleration.
- tree - Nomenclature and regression copse
- varSelRF - Variable selection using random forests
- xgboost
- eXtreme Gradient Boosting Tree model, well known for its speed and performance.
Tongue 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 Packet for Text Analysis.
- zipfR - Statistical models for word frequency distributions.
- NLP - Bones functions for Natural language Processing.
- LDAvis - Interactive visualization of topic models.
- topicmodels - Topic modeling interface to the C code developed past past David Thou. Blei for Topic Modeling (Latent Dirichlet Allotment (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 Information.
- Topic Models Resource - Topic Models learning and R related resource.
- NLP for
- NLP related resource in R. @Chinese - MonkeyLearn -
🐒 R package for text analysis with Monkeylearn🐒 . - tidytext - Implementing tidy principles of Hadley Wickham to text mining.
- utf8 - Manipulating and press UTF-eight text that fixes multiple bugs in R'southward UTF-8 treatment.
- 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) Parcel.
- R2WinBUGS - Running WinBUGS and OpenBUGS from R / South-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_solveto Solve Linear/Integer Programs. - minqa - Derivative-free optimization algorithms by quadratic approximation.
- nloptr - NLopt is a free/open up-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 treatment optimization problems in R.
Finance
Packages for dealing with money.
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 packet for genetic data assay of both population and family data.
- ape - Analyses of Phylogenetics and Evolution.
- pheatmap - Pretty heatmaps made easy.
- lme4 - Generalized mixed-effects models.
- nlme - Mixed-furnishings models, handling user-specified matrix of balance covariance, relevant for the anaysis of repeated observations in longitudinal trials.
- glmmTMB - Generalized mixed-furnishings models, handling user-specified matrix of residue 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 Improvidence.
- networkDynamic - Support for dynamic, (inter)temporal networks.
- ndtv - Tools to construct blithe visualizations of dynamic network information in various formats.
- statnet - The project behind many R network assay packages.
- ergm - Exponential random graph models in R.
- latentnet - Latent position and cluster models for network objects.
- tnet - Network measures for weighted, two-way and longitudinal networks.
- rgexf - Consign 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 world.
- CRAN Task View: Assay of Spatial Data- Spatial Analysis related resources.
- Leaflet - One of the most pop 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 Information.
- 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.
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 bundle.
Data Packages
Handy Data Packages
- engsoccerdata - English and European soccer results 1871-2016.
- gapminder - Excerpt from the Gapminder dataset (information about countries through the past 50 years).
- wbstats - Tools for searching and downloading information 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 information frames. Parcel 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 bachelor through the Conda polyglot cantankerous-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.
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. Run across also the
Manualssection on CRAN - CRAN Contributed Docs - CRAN Contributed Documentation in many languages.
- Quick-R - An excellent quick reference
- tryR - A quick grade 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 bundle documentation. Endeavour R packages in your browser.
- CRAN Job 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 Scientific discipline. R Weekly is openly developed on GitHub.
- R Bloggers - There are people scattered across the Web who blog about R. This is but an aggregator of many of those feeds.
- R-users - A task lath for R users (and the people who are looking to hire them)
Books
Costless and Online
- R for Information Science by Garrett Grolemund & Hadley Wickham - Free book from RStudio developers with emphasis on data science workflow.
- R Cookbook by Winston Chang - A trouble-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 Avant-garde R book. - R Packages, 2nd ed. past Hadley Wickham & Jennifer Bryan - A book (in paper and website formats) on writing R packages.
- Books written equally office of the Johns Hopkins Data Science Specialization:
- Exploratory Data Analysis with R by Roger D. Peng (2016) - Bones analytical skills for all sorts of data in R.
- R Programming for Data Scientific discipline by Roger D. Peng (2019) - More avant-garde information analysis that relies on R programming.
- Written report Writing for Information Science in R by Roger D. Peng (2019) - R-based methods for reproducible inquiry and report generation.
- R for SAS and SPSS users past Bob Muenchen (2012) - An first-class 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 past Patrick Burns (2011) - Patrick Burns gives insight into R'southward ins and outs along with its quirks!
- Efficient R Programming past 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.
Paid
- The Art of R Programming - Information technology'due south a good resource for systematically learning fundamentals such as types of objects, command statements, variable scope, classes and debugging in R.
- R Cookbook, 2d ed. by JD Long & Paul Teetor (2019) - A quick and uncomplicated introduction to conducting many common statistical tasks with R.
- R in Activity - This book aims at all levels of users, with sections for offset, intermediate and advanced R ranging from "Exploring R data structures" to running regressions and conducting gene analyses.
- Use R! Series by Springer - This series of inexpensive and focused books from Springer publish shorter books aimed at practitioners. Books tin discuss the use of R in a particular subject area, such equally Bayesian networks, ggplot2 and Rcpp.
- Learning R Programming - Learning R as a programming language from basics to advanced topics.
Book/monograph Lists and Reviews
- R Books List - List of R Books.
- Readings in Practical Data Science - These readings reverberate Hadley's personal thoughts about applied data science.
Podcasts
- Not So Standard Deviations - The Data Science Podcast.
- @Roger Peng and @Hilary Parker.
- R World News - R Globe News helps you proceed up with happenings inside the R community.
- @Bob Rudis and @Jay Jacobs.
- The R-Podcast - Giving practical communication on how to apply R.
- @Eric Nantz.
- R Talk - News and discussions of statistical software and language R.
- @Oliver Keyes, @Jasmine Dumas, @Ted Hart and @Mikhail Popov.
- R Weekly - Weekly news updates about the R community.
Reference Cards
- RStudio Cheat Sheets
- R Reference Card 2.0 - Cloth from R for Beginners past permission of Emmanuel Paradis (Version 2 by Matt Baggott).
- Regression Assay Refcard - R Reference Carte for Regression Assay.
- Reference Card for ESS - Reference Card for ESS.
MOOCs
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.
Lists
Nifty resources for learning domain knowledge.
- Books - Listing of R Books.
- ggplot2 Extensions - Showcases of ggplot2 extensions.
- Natural Language Processing
- NLP related resources in R. @Chinese - Network Analysis - Network Analysis related resources.
- Open up Data - Using R to obtain, parse, manipulate, create, and share open data.
- Posts - Great R blog posts or Rticles.
- Package Development - R packages to improve package development.
- R Project Conferences - Data nigh useR! Conferences and DSC Conferences.
- RStartHere - A guide to some of the most useful R packages, organized by workflow.
- RStudio Addins - Listing of RStudio addins.
- Topic Models - Topic Models learning and R related resource.
- Web Technologies - Information about how to utilise R and the world wide web together.
R Ecosystems
R communities and package collections (in alphabetical order):
- rOpenGov Open government information, computational social science, digital humanities
- rOpenHealth Public wellness information
- rOpenSci Open scientific discipline
2018
2017
- prophet - Tool for producing loftier 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
- gum - Gum strings to information in R. Minor, fast, dependency costless interpreted string literals.
- covr - Test coverage reports for R
- lintr - Static Code Analysis for R
- reprex - Render bits of R lawmaking for sharing, e.g., on GitHub or StackOverflow.
- reticulate - R Interface to Python
- tensorflow - TensorFlow for R
- utf8 - Manipulating and printing UTF-eight text that fixes multiple bugs in R'southward UTF-eight handling.
- Patchwork - Combine split up ggplots into the aforementioned graphic.
Other Awesome Lists
- awesome-awesomeness
- lists
- awesome-rshiny
Contributing
Your contributions are ever welcome!
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How To Download R Packages From Github,
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