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

Keith Weintraub kw1958 at gmail.com
Tue Apr 17 11:53:26 CEST 2012


Thanks. That's a great help!


KW

On Apr 16, 2012, at 1:08 PM, Prof Brian Ripley <ripley at stats.ox.ac.uk>  
wrote:

> 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
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>>>
>>>
>>
>> ______________________________________________
>> 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



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