On Nov 22, 2009, at 4:45 PM, stephen's mailinglist account wrote:
On Sun, Nov 22, 2009 at 11:14 AM, frenchcr <frenc...@btinternet.com>
wrote:
Please help me persuade IT to install R on my computer!
All suggestions welcome.
Our IT department run scared when you mention software that they
have no
working experience of.
I need to know the pros and cons of having R on corporate desktops.
Please no funny stuff, this is quite a serious issue for us.
Pros and cons would be good.
Thanks.
--
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PLEASE do read the posting guide
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and provide commented, minimal, self-contained, reproducible code.
I requested to have R installed at work.
For me it helped that I have a lot of non-standard technical
packages anyway
that are off radar for support from the IT department anyway - they
only
support for original install rights anyway.
They wanted to know what the licence was - GPL is recognised and
they don't
run a mile.
I did my homework and found some other people on a company research
site
were already using R so I could use that as justification.
I had some code ready to run that could produce graphs easily that
are very
hard to do in Excel and require a lot of custom code (and even then
aren't
good).
We do use some other stats packages anyway and are being encouraged
to use
proper packages rather than kludging through in Excel
References like this (below) have been circulated at work which adds
weight
to arguments that we should not just accept the 'standard' Office
install.
Although I did not use this in my justification.
@ARTICLE{,
author = {B.D. McCullough and David A. Heiser},
I'm not surprised to see McCollough and Heiser's names on such an
article. They have both a long track record of pointing out Excel's
statistical deficiencies. (I don't they did so together in the past.)
MS has turned a deaf ear to their efforts to point the way to correct
methods. It is truly amazing that MS continues to ignore constrictive
criticism and that such arrogance is compounded by corporate policies
encouraging reliance on demonstrably faulty tools. The full list of
articles documenting MS's resistance to statistical corrections would
be much longer that just this one article and extends back more than a
decade.
title = {On the accuracy of statistical procedures in Microsoft Excel
2007},
journal = {Computational Statistics \& Data Analysis},
year = {2008},
volume = {52},
pages = {4570--4578},
number = {10}
}
( http://dx.doi.org/10.1016/j.csda.2008.03.004)
I use R via TINN-R (http://www.sciviews.org/Tinn-R/) on a Windows
desktop.
Stephen
--
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
