[R] installing the x86_64 R Binary on Fedora Core 5

[Prof Brian Ripley]

On Thu, 24 Aug 2006, roger bos wrote:

> Thanks so much Marc & Stefan!  The GUI wasn't telling me what I was
> missing.  The terminal told me I was missing tk-8.4.12-1.2.x86_64.rpm so I
> went and got that and it installed without errors.  Then I could't figure
> out how to launch R through the GUI so I went back to the terminal and typed
> "R" and it launched.  I have a lot to learn but I want to thank you so much
> for getting me started.
> 
> Another question:
> As I said, I don't have internet access on the linux machine, so is there
> any way to copy the library folder from my windows machine to the linux box
> and install the packages from there?

No, but what you can do on Windows is use 
download.packages(..., type="source"), and copy the folder into which you 
downloaded to your Linux box.

To avoid continually needing root access, I would do

cd ~
mkdir Rlibrary
cat > .Renviron
~/Rlibrary
^D

cd folder-with-downloaded-sources
foreach f (*.tar.gz)
R CMD INSTALL -l ~/Rlibrary $f
end

The next time you start R the installed packages should be available to 
you.


> 
> Roger
> 
> 
> 
> 
> On 8/24/06, Stefan Grosse <singularitaet at gmx.net> wrote:
> >
> > Hi Roger,
> >
> > I dunno what exactly might be the source of that mistake but I would
> > strongly recommend to install R while you are online. Often other
> > packages must be installed for dependencies.
> >
> > (And then I recommend using the smart package manager (
> > http://labix.org/smart ) which is a great tool and handling dependencies
> > better.)
> >
> > You could use rpm at the command line level.
> >
> > open a shell, type su and give your password, change to the folder where
> > the rpm is downloaded to, type
> > rpm -ivh R-2.3.1-1.fc5.x86_64.rpm  will try to install and give you
> > information on whats missing...
> >
> > Stefan Grosse
> >
> > roger bos schrieb:
> > > I am looking for help install the x86_64 R Binary onto my FC5
> > machine.  At
> > > the risk of subjecting myself to tons of criticism, I must confess that
> > I
> > > don't know anything about Linux and I have never compiled R from source.
> > > Therefore, I choose FC5 because I see that a 64-bit binary is already
> > > available.
> > >
> > > Here is what I tried:  I installed FC5 with all options (productivity,
> > > software development, and web server).  FC5 boots up fine.  I downloaded
> > all
> > > the R binary files in that FC5 directory to my USB drive and copied
> > > them onto my linux machine (where I don't yet have internet access).  I
> > > created a folder in my rbos's Home directory and copied the files
> > there.  I
> > > clicked on the R-2.3.1-1.fc5.x86_64.rpm and right-clicked to choose
> > 'open
> > > with "install software"'  It asked me for my root password.  I put in
> > the
> > > same root password I choose when I installed FC5.  I get a "installing
> > > packages" screen that shows the R filename and I click Apply.  It then
> > give
> > > me an Error: "Unable to retrieve software information".
> > >
> > > Can anyone tell me what steps I am missing?  The R install guide states
> > that
> > > binary installs are platform specific so it only considers building from
> > the
> > > sources.  I look forward to learning a lot about Linux and using more
> > than
> > > just the GUI, but to get started, I just want to learn how to install a
> > > binary of R.
> > >
> > > Thanks so much,
> > >
> > > Roger
> > >
> > >       [[alternative HTML version deleted]]
> > >
> > > ______________________________________________
> > > 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.
> > >
> > >
> > >
> >
> >
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> 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.
> 

-- 
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