Well, a more appropriate subject would help (see the posting guide), as would a more precise description of the server OS.
Look at the R GUIs link on http://www.r-project.org/other-projects.html. I'd look at JGR if you can get it to work - 'unix' is non-specific and it is often hard enough to get Java and C-based programs to work work together on Linux -- but if 'unix' is Solaris you may be in luck. It is 'prize-winning' (the Chambers' prize in 2005). But if you are using a server remotely any GUI may be slow, and I think most such R users use the commnand line and edit scripts locally in their favourite R editor. R is developed on the command line so that is fastest and most stable. Some of the GUIs are flaky and/or 'awkward' (to quote a poster here about one with a name reminiscent of that word -- and I concur, but GUIs are a matter of taste). I used a Solaris box at home until 2003, so I have a lot of experience with R on 'unix' (and still run it on Solaris servers, although mainly for testing). I used the command line and edited in Emacs+ESS. I believe you would find that by far the most common mode of work on a Unix box. People underestimate the work needed in producing a GUI: standard GUI platforms provide toolkits and lots of pre-programmed widgets, but even with those it is considerable work. On Tue, 22 Jan 2008, Wensui Liu wrote: > Any insight? > I really appreciate your input. > > wensui > > On 1/22/08, Wensui Liu <[EMAIL PROTECTED]> wrote: >> Dear All, >> I finally have chance to have R install on our unix server. However, >> the system admin asked me if I prefer command-line or gui interface. >> I have experience with R on linux before but never use R on unix. Here >> are my questions that I need you guys help. >> 1) is there a good gui for R/unix like we do for windows and mac? >> 2) if the answer for 1) is yes, which one is better interms of >> computing performance and stability, cmd or gui? >> 3) do you have experience with ess+emacs on unix with R? Any insight? >> >> This will be an experimental use of R in our company. If I can make a >> successful case out of it, we might be able to use it in a larger >> scale. So your input and help are highly appreciated. > > -- > =============================== > WenSui Liu > Statistical Project Manager > ChoicePoint Precision Marketing > (http://spaces.msn.com/statcompute/blog) > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.