[R] Approximately how big is an installation of all packages.

Prof Brian Ripley ripley at stats.ox.ac.uk
Mon Apr 16 19:08:20 CEST 2012


Note that the answer also depends on the platform (Uwe probably has two 
archs on Windows and no debug info in his DLLs), whether you 
byte-compile the packages, the optimization flags you use when compiling 
....

CRAN is around 3 - 4GB depending on the platform.  Specifically, 3.5GB 
for x86_64 Linux with debug info.  BioC software plus all the data 
packages needed to check the software packages is 20GB on that system.

On 16/04/2012 17:52, Uwe Ligges wrote:
>
>
> On 16.04.2012 16:16, Keith Weintraub wrote:
>> Can you tell me the size of those 3 packages separately?
>
>
> These are 5000 packages. If you want to kniow, why don't you try out?
> I have them in one library only.
>
> Uwe Ligges
>
>
>> That is CRAN, BioC software, BioC data.
>>
>> If you can only give me CRAN vs the rest that's fine too. Whatever is
>> easiest.
>>
>> Thanks,
>> KW
>>
>> --
>>
>> On Apr 16, 2012, at 9:12 AM, Uwe Ligges wrote:
>>
>>>
>>>
>>> On 16.04.2012 00:16, Keith Weintraub wrote:
>>>> Folks,
>>>>
>>>> If you know the answer great.
>>>>
>>>> If you can tell me which command to use to find out that information
>>>> please let me know.
>>>>
>>>> If this is the wrong forum, my apologies.
>>>
>>>
>>> What is your definition of all packages?
>>>
>>> If you mean almost all CRAN and BioC software packages plus few BioC
>>> data packages, then I see an installed size of roughly 8Gb under
>>> Windows.
>>>
>>> Uwe Ligges
>>>
>>>
>>>
>>>
>>>> Thanks,
>>>> KW
>>>>
>>>> --
>>>>
>>>>
>>>> [[alternative HTML version deleted]]
>>>>
>>>> ______________________________________________
>>>> 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



More information about the R-help mailing list