Hi Michael, On Tue, Apr 14, 2015 at 12:57 PM, Michael Haenlein <haenl...@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 work. > > 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 through > 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 me > to work on R as I am used to with the difference that the computations are > run remotely on the LINUX server. Does a software like this exist? Please > 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.
I'm not even sure what this question means, sorry. > (2) I am running an extensive simulation that takes about one week to run. > 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 for > the week and just check into the progress 1-2 times a day? Start screen on the linux system, then start R. Once the R job is running, you can disconnect from the screen with Ctrl-A Ctrl-D and the R job will continue in the background. Google linux screen for more information. > (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 to > save time. Not sure to which extent this is possible on LINUX. Sure. Using screen you can have multiple sessions going. Sarah -- Sarah Goslee http://www.functionaldiversity.org ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
