Hi Matt,
Could you please let me know how you got this issue resolved? I also have 
the same issue. Appreciate your help.
Thanks!
On Friday, August 21, 2015 at 7:13:49 PM UTC-5, Matt Gardner wrote:

> I have installed JupyterHub on a shared system with local users.  I have 
> also configured the sudospawner following the great instructions here 
> <https://github.com/jupyter/jupyterhub/wiki/Using-sudo-to-run-JupyterHub-without-root-privileges>.
>   
> The install is on Ubuntu 14.04 running on an OpenStack cloud computing 
> environment.  All seems to be working fine with the vanilla install.
>
> My team can all log in to the server so my next task is to set up the R 
> Kernel (later I will be adding Scala and Spark after I get R working).  
>
> I installed the R kernel like this:
>
> sudo apt-get install r-base-core
> sudo apt-get install libzmq3-dev
> sudo apt-get install python-zmq
>
> Then from within R I ran:
>
> > install.packages(c('rzmq','repr','IRkernel','IRdisplay'),
>                   repos = c('http://irkernel.github.io/', 
> getOption('repos')),
>                   type = 'source')
> > IRkernel::installspec(user=FALSE)
>
>
> Once that ran I restarted the jupyterhub server and logged in - fantastic 
> - I had R kernel working.....or so I thought.  When I asked my colleagues 
> to sign in it looked good - they could see the R kernel (getting exciting 
> now!) - but as soon as they launch an R notebook the R kernel crashed 
> almost immediately with the message "DEAD KERNEL" - restarting did not 
> help.  Any ideas where to start looking?
>
> BTW - Python kernel works fine.
>
> Matt
>
>
>
>
>
>
>

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