![]() ![]() The book has lots of good insights on learning and getting the most out of RStudio, and also covers some more advanced topics like authoring packages. We’ll be announcing a preview of this release on our blog within the next few weeks.įinally, we also wanted to mention that O’Reilly has published a book by John Verzani on using RStudio. This release will include some major new features including a project system, code navigation, as well as an integrated version control UI (for subversion and git). In the meantime we’ve also been busy at work on the next release of RStudio (v0.95). As of RStudio v1.3, the preferences in the Global Options dialog (and a number of other preferences that aren’t) are now saved in simple, plain-text JSON files. There are also a number of other bug fixes which make this a worthwhile update even for users not running R 2.14 (see the release notes for details). For R 2.14 users this release includes tweaks related to compatibility with the R 2.14 graphics engine as well as compatibility with the new parallel package. 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.With R 2.14 slated to be released next week we wanted to encourage everyone planning to upgrade to also update to the latest release of RStudio ( v0.94.110). 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. 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. 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 can check for new versions of RStudio from within. You don’t want to adopt new things on day one. Next time you open R-Studio it will be the most up to date version. 5.1 How to think about upgrading R and RStudio
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