What things you should learn in addition to R depends on what types of things you want to do. But here are some of the programs that I recommend people take a look at:
gnuplot ggobi Imagemagick LaTeX xfig Make Emacs (or other programming editor) SQL Perl (or other scripting language) Tk (actually more an extension than a language/package) I also recommend that people doing statistics know at least the basics of 3 different stats packages (S-Plus and R don't count as 2 separate packages) Depending on your situation, some of the above may be useful, others may not. And things can change, I find myself using Perl much less than I used to (but am still glad to have it as one of my tools). -- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > project.org] On Behalf Of Juliet Hannah > Sent: Monday, April 20, 2009 9:49 AM > To: r-help@r-project.org > Subject: [R] what is R best for; what should one learn in addition to R > > Hi, > > I've been working with R for a couple of years, and I've > been able to get most of the things done that I needed (sometimes in > a roundabout way). A few experienced statisticians told me that > R is best for interactive data analysis, but for large-scale > computations, one needs something else. > > I understand that this all depends on what you are trying to > accomplish, and R offers many ways to make large-scale > computing possible. > > I am seeking advice from those of you who do statistical > programming outside of R. What do you use, and what kinds > of applications require you to use something other than R? > > I have some experience with Java, C++, and Perl. Where would you > suggest that I concentrate my efforts so that if R does not handle > what I need well, I will be equipped to handle it. > > Thanks, > > Juliet > > ______________________________________________ > 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. ______________________________________________ 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.