Re: [Analytics] Attention, R nerds

On Mon, Feb 11, 2013 at 6:49 PM, Dario Taraborelli <dtaraborelli(a)wikimedia.org> wrote: Jeff/Andrew for your support wrote: installed. What this means is the following; if you have something from the db you want to analyse, there's no need to faff around on the command line or inside MySQL to manually export it as a file, import it into R, analyse it, and then leave a big juicy TSV around for people to poke at when they're bored. You can run SQL queries against the slaves from inside R, and have these queries and associated data fall off and die as soon as you close the session or run rm(). It's also good for replicability, since people will now (largely) be able to retrieve the same data and run the same analysis using a single script. Thanks to Jeff Green and Andrew Otto for getting it up and running :). I didn't read this blog yet but it looks relevant to you guys. See below. -Jeremy ---------- Forwarded message ---------- From: Dan Nguyen <dn(a)skift.com> Date: Tue, Feb 12, 2013 at 1:50 PM Subject: [NICAR-L] 10 R packages I wish I knew about earlier http://blog.yhathq.com/posts/10-R-packages-I-wish-I-knew-about-earlier.html The subject is actually just the title of the post, I've barely ever used R though this really well-illustrated list has convinced me to put more effort into checking it out. I especially like the libraries that can directly access your SQL databases and let you write SQL inside an R script. -- Dan Nguyen Head of Data at Skift.com Twitter: @dancow dn(a)skift.com _______________________________________________ Analytics mailing list Analytics(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics