[R] Creating interactive graphs and exporting to Intranet site

[Chris Battiston]

Thanks Duncan - I have 16 groups so generating one output per should be fairly easy.  Unfortunately the constraints are not mine but those from the Senior VP team combined with company policy.  As I said to someone else I may go with an alternative software (Access database maybe) which will be able to do more of what I need.

Have a great day
Chris

Sent from my iPhone

> On Apr 23, 2017, at 16:11, Duncan Murdoch <murdoch.duncan at gmail.com> wrote:
> 
>> On 22/04/2017 10:29 PM, Chris Battiston wrote:
>> Good evening,
>> 
>> I’m relatively new to using R and am trying to find a way to create a series of interconnected graphs where I have a filter (either a drop down or series of checkboxes) where when an option is selected, all graphs are updated to show that group’s data.  I need to keep these graphs internal to our organization, so can’t use Shiny etc.; I am also unable to run R or other products on my server (company policy).  So, basically what I’m trying to do is create the dashboard on my desktop, export the HTML or whatever files, and post those to the Intranet.  I have tried ggvis, iplots, and a variety of other packages but I cannot seem to get them to work as i need them to.
>> 
>> Any suggestions?  I need to present my proposed plan to the directors on Wednesday and really don’t want to use Excel for the graphs - I want this to be intuitive for them, but ensuring that the report is easily maintained and more flexible than a Pivot Table.
>> 
> 
> Given that you can't run R on the server, you would basically need to produce all possible displays in advance, then have your web page select which one to show based on the controls on the page. (You might be able to show all data, then have the checkboxes set some points to be invisible, but that gets tricky.)
> 
> The rgl package does things like that but is aimed at 3D plots; getting it to do good looking 2D plots isn't easy.
> 
> On the other hand, this is pretty easy to do using Shiny or RStudio Connect (a paid service, see https://www.rstudio.com/products/connect/), which could run on your own server.  So I'd try to relax your constraints.
> 
> Duncan Murdoch