[R] Running R Remotely on LINUX

arnaud gaboury arnaud.gaboury at gmail.com
Wed Apr 15 08:39:03 CEST 2015

On Tue, Apr 14, 2015 at 10:09 PM, John Sorkin
<jsorkin at grecc.umaryland.edu> wrote:
>  I suggest that you investigate installing RStudio server on the Linux
> Box. If you do this, you can logon to RStudio (on the Linux server), and
> it will look exactly like RStudio running on a windows box. You may need
> some help configuring the Linux box to allow access to port 8787, which
> is the default port that RStudio Server uses. You may also have to set
> port forwarding on your cable modem or firewall.
> John

In case you just need a R server, with no IDE (like Rstudio provides
it), please have a look at this project[0]

> John David Sorkin M.D., Ph.D.
> Professor of Medicine
> Chief, Biostatistics and Informatics
> University of Maryland School of Medicine Division of Gerontology and
> Geriatric Medicine
> Baltimore VA Medical Center
> 10 North Greene Street
> GRECC (BT/18/GR)
> Baltimore, MD 21201-1524
> (Phone) 410-605-7119
> (Fax) 410-605-7913 (Please call phone number above prior to faxing)
>>>> Jeff Newmiller <jdnewmil at dcn.davis.ca.us> 04/14/15 2:54 PM >>>
> You should investigate using the parallel package. You have to have R
> installed on the Linux machine along with any contributed packages you
> use, but you can delegate tasks to it from within an Rgui or RStudio
> session running on your Windows box. There are even tutorials online
> that step you through setting up a "cloud" computer to serve this
> purpose.
> It is possible to install R under your own account on a Linux server,
> but there are more hiccups to overcome in doing so. There is a small
> charge for using cloud servers, but if you use it right then the cost
> can be quite cheap.
> Note that while you can set up Windows servers in the cloud, they are
> not as well suited to this remote use as Linux servers are, so it is
> worth the effort to learn enough to do that.
> ---------------------------------------------------------------------------
> Jeff Newmiller The ..... ..... Go Live...
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> ---------------------------------------------------------------------------
> Sent from my phone. Please excuse my brevity.
> On April 14, 2015 9:57:28 AM PDT, Michael Haenlein
> <haenlein at escpeurope.eu> wrote:
>>Dear all,
>>I am used to running R locally on my Windows-based PC. Since some of my
>>computations are taking a lot of time I am now trying to move to a
>>remote R
>>session on a LINUX server but I am having trouble to getting things
>>I am able to access the LINUX server using PuTTY and SSH. Once I have
>>access I can log in with my username and password (which is asked
>>keyboard-interactive authentication). I can then open an R session.
>>Since I am not used to working with LINUX, I have several questions:
>>(1) Ideally I am looking for a Windows-based software that would allow
>>to work on R as I am used to with the difference that the computations
>>run remotely on the LINUX server. Does a software like this exist?
>>note that I do not think that I can install any software on the LINUX
>>server. But I can install stuff on my Windows-based PC.
>>(2) I am running an extensive simulation that takes about one week to
>>Right now it seems that when I log out of R on LINUX and close PuTTY,
>>the R
>>session closes as well. Is there a way to let R run in the background
>>the week and just check into the progress 1-2 times a day?
>>(3) Can I open several instances of R in parallel? On my PC I sometimes
>>have 2-3 windows open in parallel that work on different calculations
>>save time. Not sure to which extent this is possible on LINUX.
>>I assume that this questions are very naïve. But since I’m only used to
>>working with Windows I’m quite stuck at the moment. Any help would be
>>Thanks in advance,
>>Michael Haenlein
>>Professor of Marketing
>>ESCP Europe
>>    [[alternative HTML version deleted]]
>>R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>https://stat.ethz.ch/m>and provide commented, minimal, self-contained, reproducible code.
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