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. But the beauty, cross-platform compatibility, and generally favorable reviews of RStudio made it the top candidate to take for a test drive. As such, my enthusiasm for RStudio is not based on a comparison to popular alternatives such as Emacs Speaks Statistics (ESS) and Tinn-R. 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 (known as R.app see here for a comparison of R.app and RStudio). 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. 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 watch the screencast, you will also get an overview of the functionality of RStudio. You can run it on your desktop (Windows, Mac, or Linux) or even over the web using RStudio Server.įor a glimpse of the beauty of RStudio, take 2 minutes to watch the screencast found on the RStudio home page. RStudio™ is a free and open source integrated development environment (IDE) for R. The latest R-related application to catch my eye is RStudio.

I am a sucker for beautiful applications (like the ggplot2 web tool mentioned here).

Tinn r mac os x download