On 01/01/2013 20:39, Duncan Murdoch wrote:
On 13-01-01 2:42 PM, Martin Batholdy wrote:
Hi,
I have a laptop (Mac OS) and a remote PC (Ubuntu) and would like to do
the heavy work on the remote machine but control it via the laptop.
I managed to install ssh server and can now remotely connect to my PC
via ssh and can start an R session in the terminal.
However, I still don't quite understand how I can now "exchange" R
objects.
I have the raw data I want to read and analyse on my laptop.
So I need to read the files on the laptop and 'send' the r object to
the remote PC.
The remote PC should then do the heavy calculations and send back the
result data frames, so that I can export/save the result tables on my
laptop.
Is this even possible with ssh (send R objects from client to server
and vice versa)?
Use save() and load() to create and read binary files containing the
objects you want to exchange. Use scp to move them between systems. (Or
sftp, or something else to move files.)
You could use package 'parallel' to run workers on the 'remote PC'.
There are also packages like Rserve (http://www.rforge.net/Rserve/, and
also RSclient).
Are there R packages who help to establish ssh connections?
Not that I know of. You just use the command line utilities via
system() or shell().
Yes, but e.g. parallel does have wrappers.
Can I also connect to the server via the R gui?
Not with base R. There are some front ends written by others that do
this, e.g. RStudio.
The 'R gui'? You mean R.app on OS X? That's just like any other R
console, so you can via parallel or RSclient.
A lot of the messy details are already taken care of via package
parallel, so that is where I would start. Simple use makeCluster to set
up a cluster of size 1 on the remote machine, clusterExport to transfer
and clusterCall to submit tasks.
--
Brian D. Ripley, rip...@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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