Hi Peter,

   Good news! As you said, installing r-base (3.3.1 1) fixed the problem; I
did  a few tests and it seems to be running smoothly now.

   Thanks for your help!

   Best regards,

Mário M.

--
*Mario O.de Menezes, Ph.D.*
"Many are the plans in a man's heart, but is the Lord's purpose that
prevails" Pv 19.21
http://www.momenezes.com     -    LinuxUser: #24626



2016-11-19 10:51 GMT-02:00 Mario Menezes <[email protected]>:

> 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/Conti
>> nuumIO/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
>>>
>>>
>>> --
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