Hi Peter,
  
   It dies after executing a command, e.g., library("dplyr"). 

   I'll try the workaraound (on Monday :-) and let you know. 

   Thanks for your attention.

   Regards,
Mário M.

Em sábado, 19 de novembro de 2016 01:44:51 UTC-2, Peter Parente escreveu:
>
> Hi Mario,
>
> Does your R kernel die immediately or after executing a command? If it's 
> the latter, there's a known problem with the r-base package in Anaconda at 
> the moment tracked here: 
> https://github.com/ContinuumIO/anaconda-issues/issues/1063
>
> conda install 'r-base=3.3.1 1' is a workaround.
>
> Cheers,
> Pete
>
>
> On Friday, November 18, 2016 at 6:05:51 PM UTC-5, Mario Menezes wrote:
>>
>> Hi,
>>
>>   I´m trying to serve R kernel from my jupyterhub installation, but no 
>> matter what I try, the kernel always die.
>>
>>   My jupyterhub installation is working fine, launching single-server 
>> notebooks for Python2 and Python3.
>>
>>   I´ve installed r-essentials directly from Anaconda3 to avoid any 
>> conflict; no R installed at the system level.
>>
>>   After installation, opened the R console (terminal) and run 
>> IRkernel::installspec(user = FALSE). The kernel appears in Jupyter menu, 
>> together  Python entires.
>>
>>   I´m running a CentOS7 server, Jupyterhub running by root (sudo was not 
>> able to authenticate users), behing a nginx reverse proxy. 
>>
>>   BTW, how to enable debug information in jupyterhub config?
>>
>>   Bellow is my conda information, and attached my conda --list 
>> information.
>>
>>   Appreciate any help.
>>
>> Mario M.
>>
>>   # conda info
>> Current conda install:
>>
>>                platform : linux-64
>>           conda version : 4.2.12
>>        conda is private : False
>>       conda-env version : 4.2.12
>>     conda-build version : 2.0.2
>>          python version : 3.5.2.final.0
>>        requests version : 2.11.1
>>        root environment : /srv/anaconda3  (writable)
>>     default environment : /srv/anaconda3
>>        envs directories : /srv/anaconda3/envs
>>           package cache : /srv/anaconda3/pkgs
>>            channel URLs : https://conda.anaconda.org/r/linux-64
>>                           https://conda.anaconda.org/r/noarch
>>                           https://repo.continuum.io/pkgs/free/linux-64
>>                           https://repo.continuum.io/pkgs/free/noarch
>>                           https://repo.continuum.io/pkgs/pro/linux-64
>>                           https://repo.continuum.io/pkgs/pro/noarch
>>             config file : /root/.condarc
>>            offline mode : False
>>
>>
>>

-- 
You received this message because you are subscribed to the Google Groups 
"Project Jupyter" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to [email protected].
To post to this group, send email to [email protected].
To view this discussion on the web visit 
https://groups.google.com/d/msgid/jupyter/5ab6da5d-89b2-4047-a56a-ea435416c491%40googlegroups.com.
For more options, visit https://groups.google.com/d/optout.

Reply via email to