R language

R for Data Science is nice.

Links

• The R language, for programmers
• gt package - Easily generate information-rich, publication-quality tables from R.
• usethis - Automates repetitive tasks that arise during project setup and development, both for R packages and non-package projects.
• RStudio Cheat Sheets
• mlr - Machine learning in R.
• Why I use R (2019) (HN)
• Text Mining with R (2019)
• R LSP - Implementation of the Language Server Protocol for R.
• Tools to make an R developer's life easier
• R Base Plotting Without Wrappers
• Lesser Known R Features
• R for Data Science
• R Graphics Cookbook (2019)
• HN: R 4.0 (2020)
• MOSAIC R package - Designed to facilitate the use of R in statistics and calculus.
• A roadmap for getting started with R (2020)
• hugodown - Make websites with hugo and RMarkdown.
• Palmer Archipelago (Antarctica) Penguins data package
• Plumber - Turn your R code into a web API.
• R-bloggers - R news and tutorials contributed by hundreds of R bloggers.
• R for Everyone
• TidyTuesday - Weekly social data project in R.
• Teaching Statistics and Data Science Online (Code)
• R & stats illustrations
• Tidy Modeling with R
• Torch - PyTorch port using LibTorch for R. (Intro)
• coro - Coroutines for R.
• purrr - Functional programming toolkit for R. (Web)
• ggplot2 - Implementation of the Grammar of Graphics in R. (Awesome)
• Tidyverse - Opinionated collection of R packages designed for data science. (GitHub) (Web Code)
• Programming R at native speed using Haskell (2020) (HN)
• jqr - R interface to jq, a JSON processor.
• Plotly - Interactive graphing library for R.
• remotes - Install R Packages from remote or local repositories.
• Shiny - Easy interactive web applications with R. (Web)
• Mastering Shiny book (Code)
• insight - Easy access to model information for various model objects.
• Awesome R Learning Resources
• reticulate - R Interface to Python.
• JuliaCall - Embed Julia in R.
• docopt - Command-line interface description language for R. (Web)
• parameters - Utilities for processing the parameters of various statistical models.
• flexdashboard - Easy interactive dashboards for R.
• recipes - Preprocessing engine to generate design matrices.
• golgotha - Contextualised Embeddings and Language Modelling using BERT and Friends using R.
• modelsummary - Beautiful and customizable model summaries in R.
• r-cli - Tools for making beautiful & useful command line interfaces using R.
• pod - Write Reusable, Composable and Modular R Code.
• ggcharts - Get You to Your Desired Plot Faster.
• tweenr - Package for interpolating data, mainly for animations.
• SDS 375: Data Visualization in R (Code)
• Modern Text Features in R (2021) (HN)
• An Ode to Stable Interfaces: R and R Core Deserve So Much Praise (2021)
• llr - Lisp-like-R: A clojure inspired lisp that compiles to R in R.
• Notes on R programming Newsletter
• mgcViz - Visual tools for Generalized Additive Models.
• Rhumba - R package manager that is blazingly fast. Powered by mamba.
• dm - Working with relational data models in R.
• Interactive Studio for Explanatory Model Analysis
• rOpenSci - Open tools for open science. (GitHub)
• collapse - Advanced and Fast Data Transformation in R.
• Epidemiologist R Handbook - R for applied epidemiology and public health. (HN)
• deepdep - Visualise and Explore Deep Dependencies of R packages.
• stringi - String Processing Package for R.
• How I Learned to Love Failing at Compiling R (2020)
• Learn R Through Examples (2020) (HN)
• robservable - Allows the use of Observable notebooks (or parts of them) as htmlwidgets in R. (Web)
• jsonlite - Robust, High Performance JSON Parser and Generator for R.
• radian - 21 century R console.
• Why do we use R rather than Excel? (2021) (HN)
• Supervised Machine Learning for Text Analysis in R (2021) (Code)
• performance - Test if your model is a good model.
• rmonad - Pipelines you can compute on.
• inspectdf - Tools for Exploring and Comparing Data Frames.
• htmldf - Simple scraping and tidy webpage summaries.
• R Posts You Might Have Missed (2020)
• scattermore - Very fast scatterplots for R.
• spatialRF - Easy Spatial Regression with Random Forest.
• pins - Pin, Discover and Share Resources.
• fabricatr - Imagine Your Data Before You Collect It.
• DeclareDesign - Tools for declaring and diagnosing the properties of research designs. (GitHub)
• capsule - Inversion of renv for low effort reproducible R package libraries.
• see - Visualization toolbox for beautiful and publication-ready figures.
• lubridate - Make working with dates in R just that little bit easier.
• butcher - Reduce the size of model objects saved to disk.
• Awesome R package development
• ggstatsplot - Enhancing {ggplot2} plots with statistical analysis.
• esquisse - RStudio add-in to make plots interactively with ggplot2.
• GitHub Actions for the R language
• Awesome R Data Viz
• datawizard - Lightweight package to easily manipulate, clean, transform, and prepare your data for analysis.
• glue - Glue strings to data in R. Small, fast, dependency free interpreted string literals.
• Hole punch - Make your R project Binder ready.
• Simple Features for R
• metafor - Meta-analysis package for R.
• MetBrewer - Color palette package in R inspired by works at the Metropolitan Museum of Art in New York. (Tweet)
• RStudio - Integrated development environment (IDE) for R. (Code)
• rocker - R configurations for Docker.
• workflowr - Organized + reproducible + shareable data science in R.
• R project workflows
• Rserve - TCP/IP server which allows other programs to use facilities of R from various languages.
• rayshader - R Package for 2D and 3D mapping and data visualization.
• easystats - Collection of R stats packages.
• containerit - Packages R script/session/workspace and all dependencies as a Docker container by automagically generating a suitable Dockerfile.
• gghighlight - Highlight points and lines in ggplot2.
• string2path - R package to convert string to path.
• report - Automated reporting of objects in R.
• tidyr - Tidy Messy Data.
• vetiver - Version, share, deploy, and monitor models.
• portal - Move R datasets between local sessions.
• flow - View and Browse Code Using Flow Diagrams.
• Rex - Friendly regular expressions for R.
• Autoinst - Automatically install packages when they are missing.
• lintr - Static code analysis for R.
• covr - Test coverage reports for R.
• cpp11 - Helps you to interact with R objects using C++ code.
• vroom - Fastest delimited reader for R.
• geomtextpath - Create curved text in ggplot2.
• rim - R Installation Manager.
• WebR - R in the Browser. Compile the statistical language R into WASM for use in a browser.
• R internals - Documentation for R's internal C API.
• startr - Template for data journalism in R.
• styler - Non-invasive pretty printing of R code.
• Quick Introduction to R (HN)
• wgpugd - WebGPU Graphics Device for R.
• CausalImpact - R package for causal inference in time series.
• units - Measurement Units for R.
• lavaanPlot - R package for plotting lavaan path models with DiagrammeR.
• bayestestR - Utilities for analyzing Bayesian models and posterior distributions.
• ambiorix - Web framework for R.
• broom - Convert statistical analysis objects from R into tidy format.
• Frustration: One Year With R - Extremely long review of R. (HN)
• Learning R for visualizing humanities data
• R Weekly - Blogs to Learn R from the Community. (Code)
• callr - Call R from R.
• graphlayouts - New layout algorithms for network visualizations in R.
• R/igraph - R package of the igraph network analysis library.
• ggspatial - Enhancing spatial visualization in ggplot2.
• ggraph - Grammar of Graph Graphics.
• ggtree - R package for visualization of phylogenetic trees with their annotation data.
• corrr - Explore correlations in R.
• ggstamp - Convenience functions for creating annotation layers in the ggplot2 and grammar of graphics framework.
• kittyR - Kitty pictures and meows from R console.
• pointblank - Data quality assessment and metadata reporting for data frames and database tables.
• r3dmol - R package for visualizing molecular data in 3D.
• reprex - Render bits of R code for sharing, e.g., on GitHub or StackOverflow.
• Geocomputation with R
• Efficient R programming (2021) (Code)
• Cargo Framework - Framework is provided to transparently develop R packages using Rust with minimal overhead, and more wrappers are easily added.
• WikidataR - R package for the Wikidata API.
• storr - Object cacher for R.
• rmarkdown - Dynamic Documents for R.
• rayrender - R package for ray tracing scenes in created in R.
• eventloop - Event Loop in R.
• ggdist - Visualizations of distributions and uncertainty.
• testthat - R package for testing.
• naniar - Tidy data structures, summaries, and visualizations for missing data.
• visdat - Preliminary Exploratory Visualization of Data.
• RMarkdown for Scientists (Code)
• fledge - Streamline the process of versioning R packages and updating NEWS.
• skimr - Frictionless, pipeable approach to dealing with summary statistics.
• swiftr - Seamless R and Swift Integration.
• Fast Lane to Learning R (HN)
• pak - Fresh Approach to R Package Installation.
• httr2 - Make HTTP requests and process their responses. A modern reimagining of httr.
• Parsing R code: Freedom of expression is not always a good idea (2012) (HN)
• furrr - Apply Mapping Functions in Parallel using Futures.
• Tutorial: An Introduction to Futureverse for Parallel Processing in R
• causact - R package to accelerate Bayesian analytics workflows.
• generics - Common generic methods.
• fastmatrix - Fast computation of some matrices useful in statistics.
• NetCoMi - Network Comparison for Microbial Compositional Data.
• R vs. Python for Data Science
• camcorder - Track and record the ggplots that are created across one or multiple sessions.
• rstatix - Pipe-friendly Framework for Basic Statistical Tests in R.
• nplyr - Grammar of nested data manipulation.
• lambdr - Run R containers on AWS Lambda.
• ViewPipeSteps - Create tabs of View() output for each chained pipe.
• Online R learning for applied statistics
• Introduction to ML with R using tidymodels
• Slider - Sliding Window Functions.
• Collection of various algorithms implemented in R
• rollRegres - R package for fast rolling and expanding linear regression models.