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.
Easily insert FontAwesome icons into R Markdown docs and Shiny apps
Fast and versatile argument checks
三 R package: An Inclusive, Unifying API for Progress Updates
Remote Sensing Data Analysis in R 🛰
R web API framework for building high-performance microservices and app backends
ADaM in R Asset Library
Get You to Your Desired Plot Faster
Package an R workspace and all dependencies as a Docker container
Data model diagrams in R
R package to infer biological activities from omics data using a collection of methods.
Microsoft's Fluent UI for Shiny apps
A simple HTTP server in R
A meta-analysis package for R
A series of Jupyter notebook to learn Google Earth Engine with Python
Embed Julia in R
vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under...
Computer Vision and Image Recognition algorithms for R users
new layout algorithms for network visualizations in R
R package to model Mixed Integer Linear Programs
Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.
jQuery UI Interactions and Effects for Shiny
统计之都主站
:speech_balloon: Create regular expressions easily
Golang RServe client. Use R from Go
A 'ggplot2' extension that focusses on expanding the plotter's arsenal of guides, such as axes, legends and colour bars. It brings various improve...
Repo for academictwitteR package to query the Twitter Academic Research Product Track v2 API endpoint.
Use the Google Analytics API from R
Variable assignment with zeal! (or multiple, unpacking, and destructuring assignment in R)
:warning: ARCHIVED :warning: Search across and get full text for OA & closed journals
A Tutorial for Setting R Development Environment with VScode, Dev Containers, and Docker
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
This repository contains the R, Python, D3, and Svelte code used to produce my visualisations for the #TidyTuesday challenges.
Complex, interactive heatmaps in R
A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
Repository for the second edition of 'Data Science in Education Using R' by Emily A. Bovee, Ryan A. Estrellado, Joshua M. Rosenberg, and Isabella C. V...
very fast scatterplots for R
PDF Toolkit. :paperclip: :hammer: :wrench: :scissors: :bookmark_tabs: :file_folder::paperclip: :bookmark: :construction: :construction_worker:
An R package to hold and facilitate interaction with natural earth map data :earth_africa:
Create Standalone Installable Shiny Apps
An R Port of Stata's 'margins' Command
A minimalistic router for your Shiny apps.
Run predictions inside the database
TrelliscopeJS R Package
Make HTTP requests and process their responses. A modern reimagining of httr.
Format R Code Automatically
Time series features
:chart_with_upwards_trend: Estimate effects, contrasts and means based on statistical models
TODOr - RStudio add-in for finding TODO, FIXME, CHANGED etc. comments in your code.
Landscape Metrics for Categorical Map Patterns 🗺️ in R
Tools for cleaning and normalizing text data