The 1.0.6 release of RStudio Package Manager helps R users understand packages. The primary feature in this release is embedded package READMEs, detailed below. If you’re new to Package Manager, it is an on-premise product built to give teams and organizations reliable and consistent package management. Download an evaluation today.
Many R packages have rich README files that can include:
This information can help a new user when they are first introduced to a package, or help an experienced user or admin gauge package quality. Package READMEs distill and supplement the rich information available in vignettes, Description files, and help files.
Starting in version 1.0.6, READMEs are automatically shown alongside the traditional package metadata. For CRAN packages, Package Manager will automatically show a README for the 12,000 CRAN packages that have them. READMEs are also displayed for internal packages sourced from Git or local files. These READMEs provide an easy way for package authors to document their code for colleagues, publicize new releases and features, and disseminate knowledge to team members.
Please consult the full release notes.
Please note the breaking changes and deprecations above. Upgrading to 1.0.6 from 1.0.4 will take less than five minutes. There will be a five-to-ten minute delay in the next CRAN sync following the upgrade. If you are upgrading from an earlier version, be sure to consult the release notes for the intermediate releases, as well.
Don’t see that perfect feature? Wondering why you should be worried about package management? Email us; our product team is happy to help!
In this series, we walk through lesser-known tips and tricks to help you work more effectively and efficiently in R Markdown. This first post focuses on working with R Markdown in the RStudio IDE.
Welcome to rstudio.com/blog! We are excited to announce updates to the RStudio blog and can’t wait to share what’s possible with great data science tools.
In an upcoming webinar on November 17th, Solita will showcase how they successfully combined the strengths of RStudio and Tableau at one of Sweden’s largest government agencies.