# Trouble running Shiny application from MyBinder

**URL:** <https://discourse.jupyter.org/t/trouble-running-shiny-application-from-mybinder/8138>\
**Category:** repo help\
**Created:** [February 27, 2021, 9:21pm UTC](https://discourse.jupyter.org/t/trouble-running-shiny-application-from-mybinder/8138 "2021-02-27T21:21:02Z")\
**Posts on this page:** 1\
**Showing post:** 5

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**Author:** ![fomightez](https://yyz1.discourse-cdn.com/flex031/user_avatar/discourse.jupyter.org/fomightez/32/495_2.png) [@fomightez](https://discourse.jupyter.org/u/fomightez)\
**Post date:** [March 9, 2021, 6:38pm UTC](https://discourse.jupyter.org/t/trouble-running-shiny-application-from-mybinder/8138/5 "2021-03-09T18:38:18Z")

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> [@moldach](#):
>
> Following instructions for [using binder with R](https://github.com/binder-examples/r)

Despite saying that, I see numerous ways in which you didn’t follow the guide repo.

Once users are more familiar with how MyBinder works and the requirements for various abilities, they can start with a blank repository and convert it to be Binder-ready. As a Binder initiate, the way to go about using the example repositories is to use them, in your case it would be [the example R repo that had Jupyter + R, RStudio and RShiny](https://github.com/binder-examples/r), to make a new repo using the `Use this template` button, and then gradually convert it to their custom code and see when things break. For example, your repo doesn’t even launch RStudio properly right now. Indeed, when you click on `New` under the Jupyter Dashboard, you should see `R` as a kernel choice below `Python 3`. (Compare what happens when you [launch from the example](http://mybinder.org/v2/gh/binder-examples/r/master?filepath=index.ipynb) and then click on the Jupyter logo in the upper left to go to the Jupyter Dashboard. The `New` drop-down menu will be over on the left above the list of files.) You aren’t using the two file approach for your Shiny app, see [here](https://discourse.jupyter.org/t/help-spinning-up-a-shiny-app/2025/5) and the discussion linked from there. The list of detailed discrepancies goes on and contributes to the symptoms you are seeing.

`R` not being listed on the `New` drop-down menu in the Jupyter dashboard from lanches from your repo is **a big red-flag**. If R isn’t available, you cannot expect much else R-based to work, and so that is a good place to start.  
It would probably also help if you searched the terms `rstudio` and, separately `shiny`, on this forum and looked at what was discussed and examine repos linked.

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