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RStudio -- Powering up R with seamless integration of Data Science tools
Updated August 05, 2021

RStudio -- Powering up R with seamless integration of Data Science tools

Robin Donatello | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with RStudio

All courses in the statistics degree, the data science certificate, and quantitative courses in other sciences, such as biology, ecology, and economics that use the programming language R do so using the RStudio IDE. This potentially reaches 1,000 students annually. We use R/RStudio to teach students how to do modern statistics and data analysis.
  • Seamless integration with professional quality reporting packages (R Markdown, xaringan, Sweave), other coding languages (Markdown, SQL, Python, C++), version control, and the terminal
  • Environment management (using Rprojects)
  • Pop-up tool tips for function arguments
  • Tab completion!
  • Change the default global options to not save Rdata sets between instances; this is very unfriendly for beginner users
  • Better GUI support for exporting images out of the viewer pane
  • Our business objective is to educate students on content, but also provide them with tangible skills that are used in the workplace. Many students have cited having experience in R/RStudio as being something that gave them an advantage in the hiring process.
  • Using R within R Studio allows researchers to do more science with less overhead, streamlining the research process, which can lead to more grants (something universities always want faculty to win).

Do you think Posit delivers good value for the price?

Yes

Are you happy with Posit's feature set?

Yes

Did Posit live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Posit go as expected?

Yes

Would you buy Posit again?

Yes

The four-pane setup allows for easy access to the console, script, files, and environment and makes navigating between various parts of the project a lower cognitive burden. For new learners, having everything in one place is very critical, and using R Projects helps reduce the confusion and frustration around file paths. One button "knit" for Rmarkdown files creates a very clean lab notebook feel, which lowers the barrier to creating professional looking reports.