+ Save hours of time to get up and running with a complete desktop Rstudio Desktop IDE for R. It includes R 4.1.3 from the Rocker project and the RStudio IDE as a web app wrapped neatly into Docker. + YakData SmartDesktop with RStudio Desktop Server Open Source is the smart way to develop R programs, Shiny web apps & RMarkdown docs on your desktop. Get started on GitHub at Stephen-McDaniel/SmartDesktop-RStudio. And since Docker is so incredibly ubiquitous, you know Windows, Mac, and Linux users will all be happy! All wrapped neatly into Docker via docker-compose. Includes R 4.1.3, the RStudio Desktop IDE, the tidyverse, verse, and geospatial-related tools from the R rocker-org project as a web app. The intelligent, portable, reproducible way to develop R programs, Shiny web apps & RMarkdown docs on your desktop.
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You can expect to update RStudio much more often than R itself.įor example, I update RStudio every month or so, whereas I update R 1 or 2 times per year.You know that R 4.1.3 is out but don’t want to disrupt your current setup? Want to have multiple R versions with compartmentalized projects and libraries on your computer? Teaching people how to use R and need the entire class to all be on the same, easy-to-install system complete with R 4.1.3, RStudio Desktop, shiny dev environment, the tidyverse, geospatial tools, tex & publishing-related packages included? YakData SmartDesktop with RStudio Server Open Source The Preview version includes new (upcoming) features, but it is also generally very stable and highly usable. The Preview version is often the same as the general release.īut in the build-up to a new general release, the Preview release is used for release candidates. Unless you have a specific reason to prefer the released version, try the Preview.
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In particular, you can no longer install pre-built binary add-on packages from CRAN. Once you are 2 minor versions behind (4.5.whatever or earlier in this example), you will start to suffer. It’s probably OK if you are still on 4.6.whatever, which is one minor version behind and is called “r-oldrel”.īeing one minor version behind usually doesn’t cause trouble. As the 4.something series unfolds, I advise that you never fall more than 1 minor version behind.Ĭoncrete example: let’s say the released version of R is 4.7.1, which is totally fictional and well beyond the current version of R at the time of writing. You can be more relaxed about upgrading minor versions, but you still want to stay reasonably current.
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It is a good idea to be on the current major version, meaning 4.something at this point, especially if you want to get the most out of a workshop.Įach major version is followed by several years of smaller releases (minor and patch releases). Is your R version “old”? R had a major version change in April 2020, with the release of 4.0.0. By definition, these problems are going away and we’d rather focus on edge cases with current versions, which affect lots of people. Also, frankly, there is a limit to our motivation. In live workshops, there is a limit to how much we can help with ancient versions of R or RStudio.
But at some point, running old versions of software adds unnecessary difficulty. You don’t want to adopt new things on day one. 5.1 How to think about upgrading R and RStudio
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