Just open a txt editor and add the following line: R -e 'shiny::runApp('app.R',launch.browser=TRUE) bat' executable file with code that runs your app from the command line. You can also run your shiny app from a '. If you'd like a guide on how to connect it to GitHub/Bitbucket check out the Continuous Installation guide :). If you are interested in other features, check out FI Labs - RInno. Remotes = c('talgalili/installr', 'daattali/shinyjs')) Pkgs = c('shiny', 'jsonlite', 'magrittr', 'plotly', 'ggplot2'), You can also include GitHub packages to the remotes argument: create_app( It defaults to include shiny, magrittr and jsonlite, so if you are using other packages like ggplot2 or plotly, just add them to the pkgs argument. If you would like to include R for your co-workers who don't have it installed, add include_R = TRUE to create_app: create_app(app_name = 'myapp', app_dir = 'path/to/myapp', include_R = TRUE) Then you just need to call two functions to create an installation framework: create_app(app_name = 'myapp', app_dir = 'path/to/myapp') To get started: install.packages('RInno') It also automates the process you referenced above and allows you to connect your app to GitHub/Bitbucket to push out updates to locally installed shiny apps via API calls on startup. when a company does not want to share their data with a third party. I'm not sure if it would be a great fit on the code obscurity question, but the RInno package is designed to help with the data security problem, i.e. That said, any user who knows R (and has sufficient intent)Īre there better, more fool-proof ways to impede access? That should not have access to the code) the best you can do is impedeĪccess by first compiling the sensitive source code into a binary Lastly, keep in mind that your source code is easily accessible. Is there a way to restrict such access? In the tutorial (the first link that I posted), this is what the author says: Ideally, I would not want my users to be able to access the source code.

I was able to follow the approach and create a standalone desktop application, with an installer file, which I can now start sharing. This is quite neat, because the users installing it need not have R (and any other required packages) to install and run the app (it has portable versions of R, chrome etc) I was exploring various options, and I came across a technique for bundling your app as a standalone desktop application, with an installer file, which you can then share & distribute. I have developed a RShiny application which I would like to share internally with my colleagues (Hosting the app on a server, is not an option at this stage).

Create shiny app in rstudio