r
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.
Repositories (1237)
GitHub Actions for the R community
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
Compilation of R and Python programming codes on the Data Professor YouTube channel.
🎨🎨🎨 Collection of most color palettes in a single R package
Read flat files (csv, tsv, fwf) into R
Data Science Course in a Box
A comprehensive tutorial about GWAS and PRS
:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
GPT RStudio addins that enable GPT assisted coding, writing & analysis
The R Installation Manager
httr: a friendly http package for R
Write reusable, composable and modular R code
Improve the readability of R code with the pipe
R interface for Apache Spark
Create Generative Art with R
:art: Visualisation toolbox for beautiful and publication-ready figures
A Framework for Building Robust Shiny Apps
Easy access to official spatial data sets of Brazil in R and Python
An R 📦 to make testing 😀
:christmas_tree:Visualization and annotation of phylogenetic trees
Paginate the HTML Output of R Markdown with CSS for Print
Shiny Dashboarding framework
On top of spaghetti, all covered in cheese....
Set up commonly used 📦 components
R package for thematic maps
Themes for ggplot2.
Performance Benchmark of top Github languages
Quantitative Financial Modelling Framework
Organize your project into a research website
A JupyterLab plugin to facilitate invocation of code formatters.
An R package for the Quantitative Analysis of Textual Data
Use RMarkdown to generate PDF Conference Posters via HTML
Visualizations of distributions and uncertainty
shinyWidgets : Extend widgets available in shiny
R Interface to Leaflet Maps
A fresh approach to package installation
R Weekly
google data analytics professional certificate
R programming tips for data cleaning, data visualisation, statistical modelling and machine learning
R Markdown: The Definitive Guide (published by Chapman & Hall/CRC in July 2018)
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Make working with dates in R just that little bit easier
Seamless R and C++ Integration
:maple_leaf: Make waffle (square pie) charts in R
科研绘图配色推荐器
Google Spreadsheets R API
Exercises (incl. analyses) with R language (math+statistics)
English and European soccer results 1871-2022
🐦 R client for interacting with Twitter's [stream and REST] APIs
Google Earth Engine for R