[R] Creating interactive graphs and exporting to Intranet site
wjm1 at caa.columbia.edu
Mon Apr 24 05:40:38 CEST 2017
Hi Chris (and Sarah),
Chris you've listed a lot of restrictions, but I just wanted to
mention Jeroen Ooms' work developing OpenCPU:
"The OpenCPU system exposes an http API for embedded scientific
computing with R. The server can run either as a single-user
development server within the interactive R session, or as a
multi-user linux stack based on rApache and NGINX."
You may be able to figure out a way to work around (some of) your
William Michels, Ph.D.
On Sun, Apr 23, 2017 at 2:26 PM, Sarah Goslee <sarah.goslee at gmail.com> wrote:
> HI Chris,
> You can use the R plotly library on your own computer to create the
> interactive graph, then upload the code to the server.
> I have a setup like that where real-time data is processed every hour,
> a Rmarkdown file is rendered using the R plotly package to make the
> graphs, and then the resulting html file is copied to the server.
> It sounds like exactly what you need.
> On Sat, Apr 22, 2017 at 10:29 PM, Chris Battiston
> <darth.pathos at gmail.com> 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.
>> Thanks so much for your time and have a good evening
> Sarah Goslee
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