A brief survey of R web interfaces

November 29, 2009
By

(This article was first published on What You're Doing Is Rather Desperate » R, and kindly contributed to R-bloggers)

I’m looking at ways to provide access to R via a web application. First rule: see what’s available first, before you reinvent the wheel. It’s not pretty.

From the R Web Interfaces FAQ:

Software Brief notes
Rweb Page last updated 1999. Of the 3 example links on the page one ran very slowly, the second not at all and the third is broken.
R-Online Or rather, not online. Unless this CGI form is the same thing. I tried Example 1, it returned a server error.
Rcgi Links to several CGI forms, none of which worked for me.
CGI-based R access Link did not load.
CGIwithR Package now maintained at Omegahat. Did not attempt installation. Last updated 2005.
Rpad I could not connect to this URL.
RApache The pick of the bunch. Provides server-side access to R through an Apache module. I was able to install RApache on 32-bit (but not 64-bit) Ubuntu 9.10 and get it running. Could use more documentation.
Rserve Serves R via TCP/IP. Last updated 2006.
OpenStatServer Broken link. No longer exists, so far as I can tell.
R PHP Online Link out of date (but you can follow it to the newer page). Last updated 2003, so unlikely to be much use.
R-php Last updated 2006; the example that I tried gave a server error.
webbioc A Bioconductor package. Did not investigate further.
Rwui An application to create R web interfaces. My browser hung at “waiting for cache”. I gave up.

So, aside from RApache and some very old-fashioned and/or broken CGI scripts, I conclude that there is little interest in writing beautiful, modern statistical web applications (notable exception). Not so much a case of “reinventing” as “inventing”.


Posted in computing, R, research diary, statistics, web resources

To leave a comment for the author, please follow the link and comment on his blog: What You're Doing Is Rather Desperate » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: 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...

Tags: , , , ,

Comments are closed.