Thanks Nick; RStudio looks like a really good tool for development work.

The impression I get though, is that the server is designed for allowing 
interactive R sessions over the web; whereas for us Django is the primary 
requirement and calls to R should happen "behind the scenes".  

On Tuesday, 30 April 2013 15:43:01 UTC+2, Nick Santos wrote:
>
> Is Django a hard and fast requirement? If so, is it just about integrating 
> the routines? I think otherwise something like RStudio Server would work 
> for you. I've deployed it previously and it was a pretty nice setup. It's 
> based on Unix user accounts, so R processes run as if users were running 
> them on a desktop, except not. You may be able to share code in this 
> environment too, but I haven't played with it a ton.
>
> http://www.rstudio.com/ide/docs/server/getting_started
>
> -Nick
>
> On Tue, Apr 30, 2013 at 12:06 AM, Derek <[email protected] 
> <javascript:>>wrote:
>
>> " if you write your own R  analysis routines, why have them run in a web 
>> system"
>>
>> Two issues here:
>>
>> 1. We are writing R routines for someone else; who needs 'analysis on 
>> demand'
>> 2. A web system means that multiple users in multiple locations can all 
>> readily access the same analysis routines (but with different data sets)
>>
>> I agree that if you work on a desktop, with no need to access shared data 
>> or use the same analysis routines as anyone else, then a web interface 
>> makes no sense.
>>
>> Basically we are trying to harness two disparate systems; each of which 
>> is very powerful in their own sphere, to create an application that is 
>> really useful for better and more efficient science.
>>
>>
>> On 29 April 2013 16:59, Javier Guerra Giraldez 
>> <[email protected]<javascript:>
>> > wrote:
>>
>>> On Mon, Apr 29, 2013 at 2:13 AM, Derek <[email protected] <javascript:>> 
>>> wrote:
>>> > hat no one is actually using R in a production environment themselves 
>>> (which
>>> > is a little surprising to me).
>>>
>>>
>>> well R itself is widely used in production... but the intersection
>>> with Django is very small.  (after all, if you write your own R
>>> analysis routines, why have them run in a web system)
>>>
>>> --
>>> Javier
>>>
>>
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>
>

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