Re: [R] Installation of R on UNIX - Sparc Solaris v8 [SEC=UNCLASSIFIED]

From: Prof Brian Ripley <ripley_at_stats.ox.ac.uk>
Date: Thu, 14 Feb 2008 06:22:03 +0000 (GMT)

On Thu, 14 Feb 2008, Jin.Li_at_ga.gov.au wrote:

> Dear Prof Ripley and Don,
>
> Thank you all for your kind reply.
>
> The UNIX system we have is Sparc Solaris v8 (a 64bit version). The
> Precompiled binary distributions of the base system and contributed packages
> are only available for Linux, MacOS X and Windows. The only thing available
> for UNIX seems Source Code for all Platforms. Could you please guide me to
> the "Prebuilt versions of R are available for Solaris" and the Solaris
> binary?

There are binaries for that too, as mentioned in the manual. I don't know why I have to read the manual for you, but see http://www.sunfreeware.com/indexintel8.html. They have R 2.6.0.

> By the way, given the UNIX system is pretty old (Solaris v8), could the
> latest version of R be installed on such old system or we have to install an
> earlier version of R?

R 2.6.2 will install from the sources.

> Thanks a lot in advance.
>
> Regards,
> Jin
>
> -----Original Message-----
> From: Prof Brian Ripley [mailto:ripley_at_stats.ox.ac.uk]
> Sent: Tuesday, 12 February 2008 5:06
> To: Li Jin
> Cc: r-help_at_r-project.org
> Subject: Re: [R] Linux, UNIX, XP32, Vista X64 or ...? [SEC=UNCLASSIFIED]
>
> On Tue, 12 Feb 2008, Jin.Li_at_ga.gov.au wrote:
>
>> Thanks to all for your kind suggestions.
>>
>> After some discussion with our IT staff, I was told the UNIX system we have
>> is Solaris and installation of R is very time consuming because "Given that
>> this software is not standard, and given the amount of time required to
>> compile the software (and potentially it's dependencies), it will need to
> be
>> resourced as a project ..." From my experience with IT staff, it may take
>> quite a long time for them to set up such project, let alone the
>> installation.
>
> Prebuilt versions of R are available for Solaris -- and the 'R
> Installation and Administration' manual told them so.
>
>> Given that, I wonder if it is possible to install it myself. As I have
>> mentioned before, I have no experience in using UNIX, but I will have an
>> access to the UNIX system soon. Any suggestions and help are greatly
>> appreciated.
>
> It is easy to install R from the sources if you have the compilers and
> e.g. Tcl/Tk installed. But a Solaris box quite possibly does not, and
> then a binary install is much easier.
>
>>
>> Regards,
>> Jin
>>
>> -----Original Message-----
>> From: Gabor Grothendieck [mailto:ggrothendieck_at_gmail.com]
>> Sent: Monday, 28 January 2008 11:38
>> To: Li Jin
>> Cc: r-help_at_r-project.org
>> Subject: Re: [R] Linux, UNIX, XP32, Vista X64 or ...? [SEC=UNCLASSIFIED]
>>
>> On the PC there is a builtin GUI but not on UNIX and there are
>> some packages that are OS specific in which case you might
>> get more or less selection but probably more. Also depending
>> on the specific system you may have greater difficulty installing
>> certain packages due to the need to compile them on UNIX
>> and the possibility exists that you don't quite have the right
>> libraries. On Windows you get binaries so this is not a problem.
>> I have repeatedly found that common packages that I took
>> for granted on Windows had some problem with installation
>> on UNIX and I had to hunt around and figure out what the problem
>> was with my UNIDX libraries or possibly some other problem.
>> For all R packages this won't be a problem but for packages
>> that use C and FORTRAN this can be. Although I am lumping
>> all UNIX systems together I think this varies quite a bit from
>> one particular type/distro of UNIX/Linux to another and I suspect if you
>> are careful in picking out the right one (if you have a choice) you
>> will actually have zero problems.
>>
>> On Jan 23, 2008 6:08 PM, <Jin.Li_at_ga.gov.au> wrote:
>>> Dear All,
>>> I am currently using R in Windows PC with a 2 GB of RAM. Some pretty large
>>> datasets are expected soon, perhaps in an order of several GB. I am facing
>> a
>>> similar situation like Ralph, either to get a new PC with a bigger RAM or
>>> else. I am just wondering if R is getting faster in other systems like
> UNIX
>>> or Linux. Any suggestions are appreciated.
>>> Regards,
>>> Jin
>>> --------------------------------------------
>>> Jin Li, PhD
>>> Spatial Modeller/
>>> Computational Statistician
>>> Marine & Coastal Environment
>>> Geoscience Australia
>>> Ph: 61 (02) 6249 9899
>>> Fax: 61 (02) 6249 9956
>>> email: jin.li_at_ga.gov.au
>>> --------------------------------------------
>>>
>>>
>>> -----Original Message-----
>>> From: r-help-bounces_at_r-project.org [mailto:r-help-bounces_at_r-project.org]
> On
>>> Behalf Of Prof Brian Ripley
>>> Sent: Thursday, 24 January 2008 12:05
>>> To: Ralph79
>>> Cc: r-help_at_r-project.org
>>> Subject: Re: [R] Problems with XP32-"3GB-patch"?/ Worth upgrading to Vista
>>> X64?
>>>
>>> On Wed, 23 Jan 2008, Ralph79 wrote:
>>>
>>>>
>>>> Dear R-Users,
>>>>
>>>> as I will start a huge simulation in a few weeks, I am about to buy a new
>>>> and fast PC. I have noticed, that the RAM has been the limiting factor in
>>>> many of my calculations up to now (I had 2 GB in my "old" system, but
>>>> Windows still used quite a lot of virtual memory), hence my new computer
>>>> will have 4 GB of fast DDR2-800 RAM.
>>>>
>>>> However, I know that 1.) Windows 32 bit cannot make use of more than
>> about
>>>> 3,2 GB RAM and 2.) it is normally not allowed to allocate more than 2 GB
>> of
>>>> RAM to one single application (at least under XP, I don't know if that
>> has
>>>> changed under Vista?).
>>>>
>>>> I remember from the R-FAQ that you can manually adjust XP so that it

>>>> allocates up to 3 GB to one application ("the 3GB patch"), but I read in
>> a
>>>> PC-magazine and some message boards that this may cause problems. Does
>>>> anybody of you successfully use this "trick" without any problems?
>>>
>>> Yes, many people: most 32-bit Exchange servers use it. Please don't rate
>>> the advice in the R documentation below tittle-tattle you read on the web.
>>>
>>>> Would it be wise to use a 64bit OS, as e.g. Vista X64? I think, under
>> Vista
>>>> X64 it should be no problem to allocate 4 GB of RAM to R. Any experiences
>>>> with that?
>>>
>>> That's what the rw-FAQ says, and we do write answers based on experience!
>>>
>>>> Thanks in advance,
>>>> Ralph Wirth
>>>>
>>>>
>>>> -----
>>>> Ralph Wirth
>>>> University Erlangen-Nuremberg, Chair of Statistics
>>>> GfK Group, Department of Methods and Product Development
>>>>
>>>>
>>>
>>> --
>>> Brian D. Ripley, ripley_at_stats.ox.ac.uk
>>> Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
>>> University of Oxford, Tel: +44 1865 272861 (self)
>>> 1 South Parks Road, +44 1865 272866 (PA)
>>> Oxford OX1 3TG, UK Fax: +44 1865 272595
>>>
>>> ______________________________________________
>>> R-help_at_r-project.org 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_r-project.org 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_r-project.org 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.
>>
>
> --
> Brian D. Ripley, ripley_at_stats.ox.ac.uk
> Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
> University of Oxford, Tel: +44 1865 272861 (self)
> 1 South Parks Road, +44 1865 272866 (PA)
> Oxford OX1 3TG, UK Fax: +44 1865 272595
>

-- 
Brian D. Ripley,                  ripley_at_stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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