R GUIs: Which one fits you?

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:

• working styles are very different such that many of the above mentioned issues may be pointless
• for many of us the built-in GUIs are pretty good already, but differ from platform to platform (so you maybe want to avoid any further hassle)
• if you are on a Mac, half of the choices are gone already …
• those who really don’t like to “being helped” by your software, opt for the IDE approaches!
• those who really don’t want to learn any of the R-syntax and are purely on a user level, use one of the comprehensive approaches – you still might not be too happy though
• if you hate installation procedures, make sure to avoid RKWard (under Windows)
• the sleekest GUI is definitely R Studio
• if the webpage would be wider, I should have certainly mentioned Deducer, which is a comprehensive offspring of JGR.