[R] Who uses R?

[Simon Blomberg]

See the "Members and Donors" section on the left-hand side of the R web
site.

Cheers,

Simon.

Note to self: Become a supporting member.

On Tue, 2007-09-25 at 11:59 +0100, Gesmann, Markus wrote:
> Dear Eleni,
> 
> Maybe the participants of the useR conferences are a good start, see
> e.g.
> http://www.r-project.org/useR-2006/participants.html
> 
> Kind regards,
> 
> Markus Gesmann 
> FPMA
> Lloyd's Market Analysis
> Lloyd's * One Lime Street * London * EC3M 7HA
> Telephone +44 (0)20 7327 6472
> Fax       +44 (0)20 7327 5718
> http://www.lloyds.com
> 
> SAVE PAPER - THINK BEFORE YOU PRINT
> 
> 
> 
> 
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
> On Behalf Of Eleni Rapsomaniki
> Sent: 25 September 2007 11:46
> To: r-help at r-project.org
> Subject: [R] Who uses R?
> 
> 
> Dear R users,
> 
> I have started work in a Statistics government department and I am
> trying to
> convince my bosses to install R on our computers (I can't do proper
> stats in
> Excel!!). They asked me to prove that this is a widely used software
> (and not
> just another free-source, bug infected toy I found on the web!) by
> suggesting
> other big organisations that use it. Are you aware of any reputable
> places
> (academic or not) that use R? (e.g. maybe you work for them)
> 
> I would be really grateful for any advice on this. Also suggestions on
> arguments
> I could use to persuade them that R is so much better than Excel would
> be very
> much appreciated.
> 
> Many Thanks
> Eleni Rapsomaniki
> 
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-- 
Simon Blomberg, BSc (Hons), PhD, MAppStat. 
Lecturer and Consultant Statistician 
Faculty of Biological and Chemical Sciences 
The University of Queensland 
St. Lucia Queensland 4072 
Australia
Room 320 Goddard Building (8)
T: +61 7 3365 2506 
email: S.Blomberg1_at_uq.edu.au

Policies:
1.  I will NOT analyse your data for you.
2.  Your deadline is your problem.

The combination of some data and an aching desire for 
an answer does not ensure that a reasonable answer can 
be extracted from a given body of data. - John Tukey.