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 <[EMAIL PROTECTED]> 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 restructure > 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 procedure. 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 > [EMAIL PROTECTED] > (801) 408-8111 > > > > > -----Original Message----- > > From: [EMAIL PROTECTED] > > [mailto:[EMAIL PROTECTED] On Behalf Of Lorenzo Isella > > Sent: Thursday, April 05, 2007 9:02 AM > > To: [email protected] > > 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 professional support, though this mailing list is > > simply wonderful. > > > > Kind Regards > > > > Lorenzo Isella > > > > ______________________________________________ > > [email protected] 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. > > > > ______________________________________________ > [email protected] 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. > ______________________________________________ [email protected] 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.
