Good resources all! Four (or five?) of those packages are all written by *the
same guy*, Hadley Wickham, who is, imo, pretty much single-handedly
responsible for making R something people willingly use.
(if any of you have not used plyr or ggplot2 yet, you now have no excuse)
On 12 February 2013 13:57, Jeremy Baron <jeremy(a)tuxmachine.com> wrote:
On Mon, Feb 11, 2013 at 6:49 PM, Dario Taraborelli
<dtaraborelli(a)wikimedia.org> wrote:
that's great to hear, thanks Oliver for
taking the lead on this and
Jeff/Andrew for your support
On Feb 11, 2013, at 9:41 AM, Andrew Otto <otto(a)wikimedia.org> wrote:
> Awessoooome!
>
>
> On Feb 11, 2013, at 12:21 PM, Oliver Keyes <okeyes(a)wikimedia.org>
wrote:
>
>> Any R nerds with Stat1 access: Stat1 now has the RMySQL package
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
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Oliver Keyes
Community Liaison, Product Development
Wikimedia Foundation