publishing-apps.qmd

---
title: "Introduction to Shiny"
subtitle: "Session - publishing"
---

```{r}
#| label: "libs"
#| include: false
#| eval: true
#| echo: false

library(countdown)
```

## Brief overview of options

::: {.incremental}
- Details of the options, and implications for sensitive data can be found on NHS-R's [Statement on Tools](https://tools.nhsrcommunity.com/statement-on-using-tools-shiny.html)

- Wherever data is sensitive the ideal is to host a Shiny app using something like [Posit Connect](https://posit.co/products/enterprise/connect/).

- More information on non-sensitive data options can be followed from the [Shiny Intro book](https://debruine.github.io/shinyintro/sharing.html#shinyapps.io) from PsyTeachR.

- Setting that up is beyond the scope of this course but there will be people in NHS-R Community who have experience of doing this in their organisations.
:::

## Share in an R package

For other R users one of the best ways to launch the Shiny, without having to open a particular script and run a button, it is possible to launch it from an [R package](https://debruine.github.io/shinyintro/sharing.html#in-an-r-package).

Creating an R package is easy to set up with a package called {usethis} and there is a great slide deck on how to get set up started through R Forwards:

* [Packages in a nutshell](http://bit.ly/pkg-dev-1)
* [Setting up your system](http://bit.ly/pkg-dev-2)
* [Your first package](http://bit.ly/pkg-dev-3)
* [Package documentation](http://bit.ly/pkg-dev-4)

## Hosting for non-sensitive/simple apps

Free options:

::: {.incremental}
- [RPubs](https://rpubs.com/) - no search facility
- [ShinyLive](https://posit-dev.github.io/r-shinylive/) - requires GitHub or [Netlify](https://www.netlify.com/) to publish. Example of a [Shiny app](https://nhs-r-community.github.io/shinylive-example/) and embedded into a Quarto [blog](https://www.rostrum.blog/posts/2023-10-08-govspeakify-tables/) 
- [shinyapps.io](https://www.shinyapps.io/) - up to 5 apps can be hosted
:::

## Hosting for sensitive data

::: {.incremental}
- [shinyapps.io](https://www.shinyapps.io/) - Standard or Professional account
- A possibility using [DevOps and Virtual Machines like Docker](https://github.com/erossini/DeployShinyProxyAndApps) or through [Azure Databricks](https://learn.microsoft.com/en-us/azure/databricks/sparkr/shiny) 
- Always have the option to run locally through RStudio or VS Code
:::

## End session