Hi,

IMHO, "- Everything you want to do is a command line, minimal GUI", this should 
be considered a "Pro". The commandline is much more powerful than a GUI.

Cheers,

John


Monica Pisica wrote:

> 
> Charles,
>  
> I don't consider packages as up-grades, i consider them as enhancements ..... 
> When a new R version is in place you cannot up-grade your old R version, you 
> have to do a new installation and re-load all the packages you used to have 
> and delete / un-install the old version.... of course you can customize how 
> you do this but it is not an up-grade per se as you would go for example from 
> "softname" v.3 to "softname" v.4 using an up-grad einstead of a full 
> installation version. New versions of R are always full versions ..... while 
> this does not bother me a bit since now i have a way of installing everything 
> with very little hassle, it may confuse and even frustrate others less 
> dedicated to using R. So - in my opinion - for a novice in R this might be a 
> "minus". 
>  
> Monica> From: [EMAIL PROTECTED]> To: [EMAIL PROTECTED]; r-help@r-project.org> 
> Subject: RE: [R] Pros and Cons of R> Date: Thu, 22 May 2008 12:24:49 -0400> > 
> What do you mean, "there are no up-grades?" There are 1,401 ancillary> 
> packages - all free. That sounds like upgrades to me.> > Of course there is 
> no *perfect* beginner's book, but Peter Dalgaard's> Introductory Statistics 
> with R (Paperback), Springer, 3d printing edition> (January 9, 2004) is 
> pretty close. If you don't know much statistics, it> will teach you 
> statistics while teaching you R. If you already know> statistics, it will 
> demonstrate how to do familiar things using R.> > > Charles Annis, P.E.> > 
> [EMAIL PROTECTED]> phone: 561-352-9699> eFax: 614-455-3265> 
> http://www.StatisticalEngineering.com> > > -----Original Message-----> From: 
> [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On> Behalf Of Monica Pisica> 
> Sent: Thursday, May 22, 2008 12:00 !
 PM> To: r-help@r-project.org> Subject: [R] Pros and Cons of R> > > Hi,> > I am 
doing a very informal presentation for my office about R capabilities> to deal 
with and analyze spatial data, display data and maps, and> connections with 
GIS. I've used in my presentation info from the CRAN, the> spatial Task view, 
and the more striking graphics examples from> 
http://addictedtor.free.fr/graphiques/thumbs.php and NCEAS> 
http://www.nceas.ucsb.edu/scicomp/GISSeminar/UseCases/MapProdWithRGraphics/O> 
neMapProdWithRGraphics.html together with examples of my own work.> > I am 
finishing with pros and cons about R and I am wondering if you can come> up 
with other examples, or comments. Here they are:> > Pros:> > - R is a 
programming environment well suited for statistical analysis.> - R is open 
source and cross platforms (Windows, Mac, Linux).> - Fortran, C (C++), and 
Python wrappers are in place.> - Deals well with spatial data, has a robust 
graphical interface and has an> active user g!
 roup list / forum.> - External packages for R are almost daily!
 increasing, most of them based on> published up-to-date books and 
peer-reviewed articles.> - R related books - quite a few ..> > Cons:> > - R has 
a very steep learning curve.> - There is no perfect "beginner" book.> - 
Experience with other programming languages is a plus / minus.> - You can save 
scripts, but not *.exe.> - It is updated several times a year (good) but there 
are no up-grades.> - It seems that it is hard to install correctly under 
Linux.> - Everything you want to do is a command line, minimal GUI.> - Memory 
management problems (depends on your OS), especially when> displaying big 
images at high resolution or working with huge matrices> (hundreds of Mb).> > 
Also i am wondering if R works under 64 bit computers and if it takes> 
advantage of it.> > Thanks,> > Monica> > 
_________________________________________________________________> > > 
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