Personal scoop bucket I use as an R user and software engineer

Zero Setup Open Science Codespaces. Quick and Easy Github Codespaces for RStudio, Tidyverse, Shiny, Python and more.

Easy interactive web applications with R

A complete dockerized setup containing R, RStudio and all my packages I need in daily business as ready-to-use-out-of-the-box containers.

Kubernetes operator for running RStudio on Kubernetes

The aim of the Project CLIMAREADY is the assessment of the adaptability of residential dwellings in Spain to the global warming, promoting passive measures in the design and use of the buildings to get an adequate indoor environment in summer conditions, minimising and quantifying overheating risks and with the minimum cooling.

My B.Sc. project involves a collaboration with the M3 Lab Group at SDU. The purpose is to create a Shiny app that will be published. My code will be used in the app to visualize and analysis Metabolomics, Lipidomics data.

Colección de proyectos en formato RMarkdown generados con RStudio, enfocados en el análisis y visualización de datos, y la creación de informes reproducibles.

WhiteboxTools R Frontend

🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.

🚨 GROW YOUR AUDIENCE WITH HUGOBLOX! 🚀 HugoBlox is an easy, fast no-code website builder for researchers, entrepreneurs, data scientists, and developers. Build stunning sites in minutes. 适合研究人员、企业家、数据科学家和开发者的简单快速无代码网站构建器。用拖放功能、可定制模板和内置SEO工具快速创建精美网站！

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Meetup presentations and material from R-Ladies Rome

RStudio addin for searching for all local projects and editing the most recently used project list

DataLab is a comprehensive repository housing a collection of dynamic data analysis projects crafted entirely in Python and R.

An unoffical apt repository for installing RStudio on Debian/Ubuntu

Curso prático de Ciência Aberta focado em ferramentas para reprodutibilidade: OSF, Zenodo, Zotero, Git/GitHub, RStudio/Quarto, e Docker. Aprenda a tornar sua pesquisa transparente, colaborativa e reprodutível. Ideal para pós-graduandos e cientistas de todas as áreas.

(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) JupyterLab R docker images. Please submit Pull Requests to the GitLab repository. Mirror of

World of Linear Models: Statistics & Data Analysis in R