[R] How to download all packages and then install

Prof Brian Ripley ripley at stats.ox.ac.uk
Fri Feb 24 13:36:56 CET 2012


On Fri, 24 Feb 2012, Xiong Deng wrote:

> Hi,
> 
> I tried to use the given rsync command to make the mirror twice. However, both failed,
> showing:
> 
> rsync: read error: Connection reset by peer (104)
> rsync error: error in rsync protocol data stream (code 12) at io.c(515)
> rsync: connection unexpectedly closed (112150 bytes received so far) [generator]
> rsync error: error in rsync protocol data stream (code 12) at io.c(359)
> 
> Any ideas?

Sort out your connectivity.

> 
> Thanks
> Xiong
> 
> On 21 February 2012 15:54, Prof Brian Ripley <ripley at stats.ox.ac.uk> wrote:
>       On 21/02/2012 03:31, Xiong Deng wrote:
>             Hi,
>
>             I am working on a stand-alone Linux Redhat machine, which is
>             disconnected
>             to outside...But I need R to be installed on the machine....
>
>             The only way available, so far as I know, is to download all the
>             packages
>             first and then copy to the machine and finally install them
>             locally...
>
>             But how can I download all the packages instead of using the
>             install.packages(....) ?
> 
> 
> The simplest way is to create a local CRAN mirror, then use a file:// URL to refer to
> it.
> 
> The part of CRAN you need is ca 2GB at present.  I use an rsync script something like
> 
> rsync -rvCtL --delete --include="*.tar.gz" --include="PACKAGES*" --exclude="*/*"
> cran.r-project.org::CRAN/src/contrib .
> 
> (so as not to mirror the 16GB Archive) and access it via
> contriburl="file:///.../R/packages/contrib"
> 
>
>       Thanks
>       Xiong
>
>              [[alternative HTML version deleted]]
>
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> 
> --
> 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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