[R] Reasons to Use R
Greg.Snow at intermountainmail.org
Mon Apr 9 19:45:27 CEST 2007
The licences keep changing, some have in the past but don't now, some
you can get an additional licence for home at a discounted price. Some
it depends on the type of licence you have at work (currently our SAS
licence is such that the 3 people in my group can all have it installed,
but at most 1 can be using it at any 1 time, how does that affect
installing/using it at home). I may be able to install some of the
software at home also, but for most of them I have given up trying to
figure out the legality of it and so I have not installed them at home
to be on the safe side.
Some of the doctors I work with who are also affiliated with the local
university have mentioned that they can get a discounted academic
version of SAS and could use that, but my interpretation of the academic
licence that one showed me (probably not the most recent) said (in my
interpretation, I am not a lawyer) that if they published the results
without paying a licence upgrade fee, they would be violating the
licence (the academic version was intended for teaching only).
The R licence on the other hand is pretty clear that I can install it
and use it pretty much anywhere I want.
You are right in correcting me, R is not the only package that can be
used on multiple computers. I do think it is the most straight forward
of the good ones.
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
greg.snow at intermountainmail.org
> -----Original Message-----
> From: Gabor Grothendieck [mailto:ggrothendieck at gmail.com]
> Sent: Monday, April 09, 2007 10:44 AM
> To: Greg Snow
> Cc: Lorenzo Isella; r-help at stat.math.ethz.ch
> Subject: Re: [R] Reasons to Use R
> I might be wrong about this but I thought that the licenses
> for at least some of the commercial packages do let you make
> a copy of the one you have at work for home use.
> On 4/9/07, Greg Snow <Greg.Snow at intermountainmail.org> wrote:
> > Here are a couple more thougts to add to what you have
> already received:
> > You mentioned that price is not at issue, but there are other costs
> > than money that you may want to look at. On my work
> machine I have R,
> > S-PLUS, SAS, SPSS, and a couple of other stats programs; on
> my laptop
> > and home computers I have R installed. So, if a deadline
> is looming
> > and I am working on a project mainly in R, it is easy to
> work on it on
> > the bus or at home (or in a boring meeting), the same does not work
> > for a SAS or SPSS project (Hmm, thinking about this now,
> maybe I need
> > to do less in R :-).
> > R and S-PLUS are very flexible/customizable, if you have a certain
> > plot that you make often you can write your own
> function/script to do
> > it automatically, most other programs will give you their standard,
> > then you have to modify it to meet your specifications.
> With sweave
> > (and the odf and html extensions) you can automate whole
> reports, very
> > useful for things that you do month after month.
> > And what I think is the biggest advantage of R and S-PLUS
> is that they
> > strongly encourage you to think about your data. Other
> programs (at
> > least that I am familiar with) tend to have 1 specific way
> of treating
> > your data, and expect you to modify your data to fit that programs
> > model. These models can be overrestrictive (force you to
> > your data to fit their model) or underrestrictive (allow
> things that
> > should really be separate data objects to be combined into a single
> > "dataset") and sometimes both. S on the other hand allows many
> > different ways to store and work with your data, and as you analyze
> > the data, different branches of new analysis open up depending on
> > early results rather than just getting stock output for a
> > If all you want is a black box where data goes in one end and a
> > specific answer comes out the other, then most programs
> will work; but
> > if you want to really understand what your data has to tell
> you, then
> > R/S-PLUS makes this easy and natural.
> > Hope this helps,
> > --
> > Gregory (Greg) L. Snow Ph.D.
> > Statistical Data Center
> > Intermountain Healthcare
> > greg.snow at intermountainmail.org
> > (801) 408-8111
> > > -----Original Message-----
> > > From: r-help-bounces at stat.math.ethz.ch
> > > [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Lorenzo
> > > Isella
> > > Sent: Thursday, April 05, 2007 9:02 AM
> > > To: r-help at stat.math.ethz.ch
> > > Subject: [R] Reasons to Use R
> > >
> > > Dear All,
> > > The institute I work for is organizing an internal
> workshop for High
> > > Performance Computing (HPC).
> > > I am planning to attend it and talk a bit about fluid
> dynamics, but
> > > there is also quite a lot of interest devoted to data
> > > post-processing and management of huge data sets.
> > > A lot of people are interested in image processing/pattern
> > > recognition and statistic applied to geography/ecology,
> but I would
> > > like not to post this on too many lists.
> > > The final aim of the workshop is understanding hardware
> > > requirements and drafting a list of the equipment we
> would like to
> > > buy. I think this could be the venue to talk about R as well.
> > > Therefore, even if it is not exactly a typical mailing list
> > > question, I would like to have suggestions about where to collect
> > > info about:
> > > (1)Institutions (not only academia) using R (2)Hardware
> > > requirements, possibly benchmarks (3)R & clusters, R &
> multiple CPU
> > > machines, R performance on different hardware.
> > > (4)finally, a list of the advantages for using R over commercial
> > > statistical packages. The money-saving in itself is not a reason
> > > good enough and some people are scared by the lack of
> > > support, though this mailing list is simply wonderful.
> > >
> > > Kind Regards
> > >
> > > Lorenzo Isella
> > >
> > > ______________________________________________
> > > R-help at stat.math.ethz.ch mailing list
> > > https://stat.ethz.ch/mailman/listinfo/r-help
> > > PLEASE do read the posting guide
> > > http://www.R-project.org/posting-guide.html
> > > and provide commented, minimal, self-contained, reproducible code.
> > >
> > ______________________________________________
> > R-help at stat.math.ethz.ch mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> > http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
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