On 22 May 2014, at 00:32 , Vincent Goulet <[email protected]> wrote:
> Ok, I'm biased here, but for me (and my students!) the simple procedure is: > > 1. Install the R binary from CRAN; > > 2. Install my Emacs distribution for OS X that comes bundled with ESS: > http://vgoulet.act.ulaval.ca/en/emacs/mac 2a. (variant) Install Aquamacs, which also comes with ESS and AUCTeX. > > 3. Enjoy. > > Envoyé de mon iPad > >> Le 2014-05-21 à 15:37, Grant Rettke <[email protected]> a écrit : >> >> Hi, >> >> I'm working on setting up a new to me OSX machine with R. My preference is >> via Homebrew, with which I'll >> be using Emacs and ESS. Looking out for trouble, I tried to do a little >> legwork first of all to see what is the status quo for installing R on >> Mavericks. There are more than a few options and I am wanting to get your >> feedback on what worked for you, and if you happened to follow any of these >> directions. Here is what I found: >> >> https://onote2.github.io/2013/12/04/install-r-on-mac-os-x-109-mavericks/ >> >> The simplest. Looks great. >> >> http://davidsimpson.me/2013/02/26/installing-r-on-os-x/ >> >> Also simple. >> >> http://zmjones.com/mac-setup/#R >> >> Also quite simple. >> >> http://www.moncefbelyamani.com/how-to-install-xcode-homebrew-git-rvm-ruby-on-mac/#step-1 >> https://github.com/Homebrew/homebrew-science/issues/427 >> >> Sometimes things go wrong? >> >> http://cran.r-project.org/bin/macosx/ >> >> If all else fails, or perhaps are any of you Emacs users using this instead >> of Homebrew? >> >> It looks pretty straightforward at this point; just wanted to talk to some >> other folks and see what worked for them. >> >> Kind regards, >> >> Grant Rettke | AAAS, ACM, ASA, FSF, IEEE, SIAM, Sigma Xi >> [email protected] | http://www.wisdomandwonder.com/ >> “Wisdom begins in wonder.” --Socrates >> ((λ (x) (x x)) (λ (x) (x x))) >> “Life has become immeasurably better since I have been forced to stop >> taking it seriously.” --Thompson >> >> [[alternative HTML version deleted]] >> >> _______________________________________________ >> R-SIG-Mac mailing list >> [email protected] >> https://stat.ethz.ch/mailman/listinfo/r-sig-mac > > _______________________________________________ > R-SIG-Mac mailing list > [email protected] > https://stat.ethz.ch/mailman/listinfo/r-sig-mac -- Peter Dalgaard, Professor Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: [email protected] Priv: [email protected] _______________________________________________ R-SIG-Mac mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-mac
