I am a sucker for beautiful applications. The latest R-related application to catch my eye is RStudio.

RStudio™ is a free and open source integrated development environment (IDE) for R. You can run it on your desktop (Windows, Mac, or Linux) or even over the web using RStudio Server.

You may find RStudio described as a GUI for R (see here), but that refers to the GUI elements present in RStudio that facilitate code development. If you want to use R without writing code, you have a few options, such as Deducer and R Commander, but to exploit the full power of R you will eventually need to learn how to write code.

I hadn’t previously sought out a text editor (or IDE) for R because I was satisfied with the features of the built-in editor for R on Mac OS X. As such, my enthusiasm for RStudio is not based on a comparison to alternatives such as Emacs Speaks Statistics (ESS). But the beauty, cross-platform compatibility, and generally favorable reviews of RStudio made it the top candidate to take for a test drive.

I will not duplicate the efforts of previous bloggers (see here and here) by providing an overview of RStudio’s best features, but I particularly love the integration with the wonderful R package knitr for dynamic report generation in LaTeX, HTML, Markdown, and more. I first started using LaTeX to typeset my dissertation, became smitten, and vowed to never use Word again (an overzealous oath). However, I only recently created my first dynamic report using knitr and LaTeX. I anticipate that my exploration of knitr, facilitated by RStudio, will spawn several future blog posts, partly because it allows me to continue to beat the drum for reproducible research.

Lastly, if you are using R on Windows through the built-in editor, then you are missing out on a number of wonderful features to improve your workflow and you should download RStudio immediately.