Site icon R-bloggers

R GUIs: Which one fits you?

[This article was first published on Statistical Graphics and more » R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

The gap of the new “digital divide” between those who only use computers when they are as easy to use as iPads and smartphones and those who like (or at least accept) to type commands to perform jobs, seems to get bigger and bigger.

R – the lingua franca of statistical computing – is exactly such a command-line based language, reasonably well designed but still not GUI based at all. At this point GUIs are the only solution to make R accessible for “generation point-and-click” and bridge the divide.

Personally, I am happy to use all well designed GUIs but as well see the power of language based command line interfaces – you need to work with both to be most effective.
But let’s come to the comparison of the four different frontends for R (in lexicographic order) which try to do more than the built-in standard GUIs for the supported platforms:

(mouse-over the entries in the table to get more details)

JGR

RCommander

RKWard

R Studio

Technology JAVA tcl/tk KDE Qt
Platform
Installation simple simple painful easy
Approach IDE comprehensive comprehensive IDE
Interface SDI MDI (plus R) TDI MDI
Maturity 1.7-5 1.6-3 0.5.5 0.92.44
Console yes yes yes yes
CodeEditor yes no yes yes
Objbrowser yes no yes yes
DataEditor yes via fix() yes no
ModelBrws yes no no no
Logging console console extended console
Plugins via iWidgets yes yes no
Web-Client no no no yes

There are certainly more frontends and features (especially on the technical side) to consider, and not everybody will share my verdict on every point (which I even probably didn’t get completely right), but that’s what comments are for  …

My summary recommendations (regarding the four candidates) are:

To leave a comment for the author, please follow the link and comment on their blog: Statistical Graphics and more » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.