Good morning, everyone, I am sorry for this off-topic post but think I can get great answer from this list. My question is what is the best OS on PC (laptop) for statistical computing and why. I really appreciate your insight. Have a nice day.
Gabor Grothendieck
2007-Sep-10 16:26 UTC
[R] off-topic: better OS for statistical computing
You want whatever all the people you are working with are using to make it as easy as possible to work together with them. On 9/10/07, Wensui Liu <liuwensui at gmail.com> wrote:> Good morning, everyone, > I am sorry for this off-topic post but think I can get great answer > from this list. > My question is what is the best OS on PC (laptop) for statistical > computing and why. > I really appreciate your insight. > Have a nice day.
On 11/09/2007, at 4:22 AM, Wensui Liu wrote:> Good morning, everyone, > I am sorry for this off-topic post but think I can get great answer > from this list. > My question is what is the best OS on PC (laptop) for statistical > computing and why. > I really appreciate your insight. > Have a nice day.Linux. It's best for ***everything***. cheers, Rolf Turner ###################################################################### Attention:\ This e-mail message is privileged and confidenti...{{dropped}}
Linux! Mac OS is ok to me2. On 9/10/07, Wensui Liu <liuwensui at gmail.com> wrote:> Good morning, everyone, > I am sorry for this off-topic post but think I can get great answer > from this list. > My question is what is the best OS on PC (laptop) for statistical > computing and why. > I really appreciate your insight. > Have a nice day. > > ______________________________________________ > 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. >-- Weiwei Shi, Ph.D Research Scientist GeneGO, Inc. "Did you always know?" "No, I did not. But I believed..." ---Matrix III
> My question is what is the best OS on PC (laptop) for statistical > computing and why.A free/open source *nix operating system is the best you can have todate, for almost everything, noticeably stability, security, scalability, networking and development, given that your hardware is supported and the system is well administrated. Since you're talking about a laptop, Linux has the best hardware support right now, and should be your choice. Linux is *very* flexible, stable, and gives you some good admin habit. Is the best choice for number crunching, large databases and heavy development. You have all kind of programming languages, compilers and scientific softwares just a few commands away (pacman -S R, apt-get install R, yum install R and so on) and they integrate perfectly within your system. On the other side, you should have a certain insight of this OS (and in general of computing) to reach the best performances your hardware can give; most of user-friendly distributions are as bloated as windows, well, maybe just a little less, and if you don't know (and are not interested in learning) how to tweak them, you don't have great advantages in terms of performances and desktop experience. My experience (mostly in university/research labs) shows that if you really have to get into 'not basic' computing, involving for example c/fortran/c++ development along with R/matlab/mathematica ('high level' languages), or using for some reason clusters or distribuited resources, then you really want to work natively on linux. You can script and control everything, just as you want it to be, in a very simple way, from the jobs schedule to the graphic interfaces; this is for me the best feature of linux. For some the problem is that linux (and in general unix software) tends not to be 'visual'. That's true, and I consider it a major feature, when it comes to heavy tasks with large datasets: grep, sed, awk and perl will always perform better than excel or visual basic macros... and the advantage of linux on the windows ports of these tools is that the whole system is built around them, and they integrate perfectly in the powerfull shell. If you just need to draw some picture to summarize data, and put them in a WYSIWYG report/presentation, then the OS is not the point. If you need to use specific proprietary apps only available for win or mac (word/excel/powerpoint/photoshop/flash/arcview/autocad...) then you're locked in in that platform, but hey, that's not statistical computing... In my humble opinion: linux is by far best suited for development and scientific computing, given the skills to admin it and the freedom from platform-specific software. Mac os X 'just works' and is definitely better and more attractive to me than windows.
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