RStudio Development Environment

March 23, 2012

(This article was first published on ProgrammingR, and kindly contributed to R-bloggers)

RStudio LayoutCompared to many other languages of equal popularity, there are realtively few development environments for R. In fact, the total number of production ready R IDEs could probably be counted on one hand. That deficiency is a small price to pay to use R and if you’re not already accustomed to using IDEs for other languages, you probably haven’t missed it too much. But RStudio goes a long way toward providing a full-featured R development platform, that, once you’ve used it, quickly becomes hard to give up again.

RStudio has some nice graphical features and the layout is clean and logical for the most part. Functionally, some of the best features are:

  • Plot caching (allows you to flip back through previous graphs without rerunning them, making it much easier to review your graphical output)
  • Function, object and parameter listing and completion that works even with user-defined functions
  • Shortcuts for quickly drilling down into functions

RStudio paramater completion

RStudio also provides version control integration (Git, SVN) which could prove to be very helpful, but I haven’t yet tested it. I can’t speak to how well it works, just that it is available.

In addition to these positives, RStudio has an active support system with developer participation via the RStudio support site.

Overall, I’ve been very impressed with RStudio over the past few weeks. If you haven’t yet tested it, I suggest you give it a try. Given the growth of R over recent years, I think it’s time we expected development tools to mature to the level that they have for other programming languages with similar levels of adoption. The only way that will produce sustainable, mature products is if there is a constant demand in the market.

Already using something else? Feel free to mention your favorite R IDE in the comments.

ProgrammingR offers two ways for you to stay up to date. To be notified when new articles and book reviews are posted, subscribe to the ProgrammingR articles feed. To be notified when new R-based job listings are posted, subscribe to the ProgrammingR jobs feed. You may also want to post an R consultant listing, hire an R consultant, or ask a question in the forums.

The post RStudio Development Environment appeared first on ProgrammingR.

To leave a comment for the author, please follow the link and comment on their blog: ProgrammingR. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


Mango solutions

RStudio homepage

Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training



CRC R books series

Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)