YakData SmartDesktop with RStudio Desktop

The Best Way to Download & Install
RStudio Desktop on Mac or Windows in 2022

A smart, portable, reproducible way to develop R programs, Shiny web apps & RMarkdown docs on your desktop. Includes R 4.1.2, the RStudio Desktop IDE, the tidyverse, verse and geospatial-related tools from the R rocker-org project as a web app. All wrapped neatly into Docker via docker-compose.

Deploy it to your computer from GitHub at Stephen-McDaniel/SmartDesktop-RStudio.

Check out our production-ready way to securely share R shiny web apps & RMarkdown documents cross the organization, YakData SmartManager for ShinyProxy.

ggplot2 graph in RStudio Desktop

YakData SmartDesktop with RStudio Desktop Server is the best way to download & install RStudio Desktop for use on Mac or Windows computers in 2022. It includes R 4.1.2 from the Rocker project, the RStudio IDE as a web app, hundreds of top data science packages included and it is all managed easily with Docker Desktop. This is the smart way to develop R programs, Shiny web apps & RMarkdown docs on your desktop in 2022.

πŸš€ Features

+ Save hours of time to get up and running with a complete desktop IDE for R.

+ Includes over 200 of the most commonly used R packages pre-installed. Preloaded with the tidyverse, verse and geospatial-related tools from the R rocker-org project. Includes tex & publishing-related packages from verse.

+ Designed to install packages from RStudio Package Manager on a fixed date. Easily change this in Rapid installation of most packages as this image is based on Ubuntu.

+ Easy access to all the RStudio configuration and startup values.

+ The end of complex uninstall/upgrade paths for R and RStudio on your laptop/desktop system.

+ Easily recreate an identical environment on another system.

+ Run multiple versions of R side-by-side with multiple SmartDesktop project directories.

+ Define various environments for a particular R version with multiple docker-compose files.

+ Control resources used by your R sessions with docker-compose. No more system lock because an R session unexpectedly stole all your desktop resources.

+ Pause and restart a long-running R session with Docker Desktop!

πŸ“· Screenshots

ggplot2 graph in RStudio Desktop
ggplot2 graph in RStudio Desktop
Shiny app graph brushing in RStudio Desktop
Install package to site-library

🧰 Install and setup

Head over to to get up and running with YakData SmartDesktop for RStudio.

If you benefit from this project, please click the ⭐ button on this GitHub repository and let your colleagues know about it.

⭐ Inspiration

+ RStudio Open Source Server IDE is a free, open-source IDE for R, Shiny apps and RMarkdown content.

+ The RStudio Open Source Server IDE is backed by years of development, feedback and releases.

+ Make it easy to create a reproducible, self-contained R development environment on any system.

πŸ“˜ Docs

RStudio IDE repository:

RStudio Package Manager:

Docker Desktop:

🎑 Alternatives

Alternatives include self-install of the R, the RStudio IDE, tidyverse, verse and more directly on your OS.

πŸ‘¨πŸΌβ€πŸ’» About RStudio

RStudio is the leading development environment for R programming, R Shiny apps and RMaarkdown documents. Features include:

+ Highly customizable with powerful tools for R including a console, source editor, plot viewer, workspace management, integrated help, command history and more.

+ Execute code incrementally by line, by selected text or as a complete program.

+ Syntax highlighting editor with drop-down code completion.

+ Smooth integration of R Shiny app development including a local Shiny server and the ability to debug your app in a local browser.

+ RStudio Desktop in this project runs as a desktop server, ensuring reproducibility and portability.

🐳 Docker Desktop

Once you work with Docker Desktop, you will wonder why you wasted all those hours struggling with R installation directly on your computer!

+ Containerize and share any application locally and on your favorite cloud platform, in multiple languages and frameworks.

+ It is easy to install, setup and use a complete Docker development environment.

+ If you use a Windows computer, gain the ability to toggle between Linux and Windows Server environments ON YOUR LOCAL COMPUTER!

+ Volume mounting for code and data, including file change notifications and easy access to running containers on the localhost network.

πŸ₯‡ The tidyverse

The tidyverse includes many leading R packages for data science, forecasting, analytics and data management. The developers state, β€œThe tidyverse is an opinionated collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures.”

A subset of the included packages: ggplot2, dplyr, tidyr, readr, purrr, tibble, stringr, forcats and many other packages with more specialized usage. They are not loaded automatically with library(tidyverse), so you’ll need to load each one with its own call to library().

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