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 Intermountain Healthcare [EMAIL PROTECTED] (801) 408-8111 > -----Original Message----- > From: Gabor Grothendieck [mailto:[EMAIL PROTECTED] > Sent: Monday, April 09, 2007 10:44 AM > To: Greg Snow > Cc: Lorenzo Isella; [email protected] > 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 <[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.
