R has very good GUI packages that I have used - R Commander RCmdr and Rattle rattle . Since I work on multiple packages with constraints of time, I almost always use the GUI rather go through the intricacies of command line .
The log of these GUIs shows the relevant R command that was used, so you can actually learn the language also. I have written about the ease of learning R , if you begin with these two packages first and are working in a commercial data environment on http://decisionstats.com/2008/learning-r-easily-two-guis/ On Thu, May 22, 2008 at 9:30 PM, Monica Pisica <[EMAIL PROTECTED]> wrote: > > Hi, > > I am doing a very informal presentation for my office about R capabilities > to deal with and analyze spatial data, display data and maps, and > connections with GIS. I've used in my presentation info from the CRAN, the > spatial Task view, and the more striking graphics examples from > http://addictedtor.free.fr/graphiques/thumbs.php and NCEAS > http://www.nceas.ucsb.edu/scicomp/GISSeminar/UseCases/MapProdWithRGraphics/OneMapProdWithRGraphics.htmltogether > with examples of my own work. > > I am finishing with pros and cons about R and I am wondering if you can > come up with other examples, or comments. Here they are: > > Pros: > > - R is a programming environment well suited for statistical analysis. > - R is open source and cross platforms (Windows, Mac, Linux). > - Fortran, C (C++), and Python wrappers are in place. > - Deals well with spatial data, has a robust graphical interface and has an > active user group list / forum. > - External packages for R are almost daily increasing, most of them based > on published up-to-date books and peer-reviewed articles. > - R related books quite a few . > > Cons: > > - R has a very steep learning curve. > - There is no perfect "beginner" book. > - Experience with other programming languages is a plus / minus. > - You can save scripts, but not *.exe. > - It is updated several times a year (good) but there are no up-grades. > - It seems that it is hard to install correctly under Linux. > - Everything you want to do is a command line, minimal GUI. > - Memory management problems (depends on your OS), especially when > displaying big images at high resolution or working with huge matrices > (hundreds of Mb). > > Also i am wondering if R works under 64 bit computers and if it takes > advantage of it. > > Thanks, > > Monica > > _________________________________________________________________ > > > Refresh_family_safety_052008 > ______________________________________________ > 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. > [[alternative HTML version deleted]]
______________________________________________ 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.
