R is a free programming language and software environment for statistical computing and graphics. R has a wide variety of statistical linear and non-linear modeling and provides numerous graphical techniques.
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
🎨🎨🎨 Collection of most color palettes in a single R package
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Read flat files (csv, tsv, fwf) into R
Data Science Course in a Box
:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
GPT RStudio addins that enable GPT assisted coding, writing & analysis
httr: a friendly http package for R
A comprehensive tutorial about GWAS and PRS
Improve the readability of R code with the pipe
R interface for Apache Spark
Create Generative Art with R
Write reusable, composable and modular R code
:art: Visualisation toolbox for beautiful and publication-ready figures
A Framework for Building Robust Shiny Apps
:christmas_tree:Visualization and annotation of phylogenetic trees
An R 📦 to make testing 😀
The R Installation Manager
On top of spaghetti, all covered in cheese....
Shiny Dashboarding framework
Paginate the HTML Output of R Markdown with CSS for Print
Themes for ggplot2.
A JupyterLab plugin to facilitate invocation of code formatters.
Performance Benchmark of top Github languages
Easy access to official spatial data sets of Brazil in R and Python
Set up commonly used 📦 components
R package for thematic maps
Organize your project into a research website
Quantitative Financial Modelling Framework
An R package for the Quantitative Analysis of Textual Data
Visualizations of distributions and uncertainty
Use RMarkdown to generate PDF Conference Posters via HTML
shinyWidgets : Extend widgets available in shiny
R Interface to Leaflet Maps
R Weekly
R programming tips for data cleaning, data visualisation, statistical modelling and machine learning
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
R Markdown: The Definitive Guide (published by Chapman & Hall/CRC in July 2018)
google data analytics professional certificate
A fresh approach to package installation
:maple_leaf: Make waffle (square pie) charts in R
Seamless R and C++ Integration
Make working with dates in R just that little bit easier
Google Spreadsheets R API
🐦 R client for interacting with Twitter's [stream and REST] APIs
English and European soccer results 1871-2022
Google Earth Engine for R
Non-invasive pretty printing of R code
Exercises (incl. analyses) with R language (math+statistics)
Generate static html documentation for an R package