Link to RStudio Connect deployment resources

README.Rmd

@@ -80,13 +80,19 @@ Minimal example | <https://github.com/wlandau/targets-minimal>
 Machine learning with Keras | <https://github.com/wlandau/targets-keras>
 Validating a minimal Stan model | <https://github.com/wlandau/targets-stan>
 Using Target Markdown and `stantargets` to validate a Bayesian longitudinal model for clinical trial data analysis | <https://github.com/wlandau/rmedicine2021-pipeline>
+Shiny app that runs a pipeline | <https://github.com/wlandau/targets-shiny>
+Deploying a pipeline to RStudio Connect | <https://github.com/sol-eng/targets-deployment-rsc>
 
 ## Apps
 
-* [`targets-shiny`](https://github.com/wlandau/targets-shiny): a simple prototype of a Shiny app with a `targets` backend. Shows how to build powerful data pipelines inside apps.
 * [`tar_watch()`](https://docs.ropensci.org/targets/reference/tar_watch.html): a built-in Shiny app to visualize progress while a pipeline is running. Available as a Shiny module via [`tar_watch_ui()`](https://docs.ropensci.org/targets/reference/tar_watch_ui.html) and [`tar_watch_server()`](https://docs.ropensci.org/targets/reference/tar_watch_server.html).
 * [`targetsketch`](https://wlandau.shinyapps.io/targetsketch): a Shiny app to help sketch pipelines ([app](https://wlandau.shinyapps.io/targetsketch), [source](https://github.com/wlandau/targetsketch)).
 
+## Deployment
+
+* <https://solutions.rstudio.com/r/workflows/> explains how to deploy a pipeline to RStudio Connect ([example code](https://github.com/sol-eng/targets-deployment-rsc)).
+* [`tar_github_actions()`](https://docs.ropensci.org/targets/reference/tar_github_actions.html) sets up a pipeline to run on GitHub Actions. The [minimal example](https://github.com/wlandau/targets-minimal) demonstrates this approach.
+
 ## Extending and customizing targets
 
 * [R Targetopia](https://wlandau.github.io/targetopia/): a collection of [R packages](https://wlandau.github.io/targetopia/packages.html) that extend `targets`. [These packages](https://wlandau.github.io/targetopia/packages.html) simplify pipeline construction for specific fields of Statistics and data science.

README.md

@@ -116,12 +116,11 @@ the results.
 | Machine learning with Keras                                                                                        | <https://github.com/wlandau/targets-keras>          |
 | Validating a minimal Stan model                                                                                    | <https://github.com/wlandau/targets-stan>           |
 | Using Target Markdown and `stantargets` to validate a Bayesian longitudinal model for clinical trial data analysis | <https://github.com/wlandau/rmedicine2021-pipeline> |
+| Shiny app that runs a pipeline                                                                                     | <https://github.com/wlandau/targets-shiny>          |
+| Deploying a pipeline to RStudio Connect                                                                            | <https://github.com/sol-eng/targets-deployment-rsc> |
 
 ## Apps
 
--   [`targets-shiny`](https://github.com/wlandau/targets-shiny): a
-    simple prototype of a Shiny app with a `targets` backend. Shows how
-    to build powerful data pipelines inside apps.
 -   [`tar_watch()`](https://docs.ropensci.org/targets/reference/tar_watch.html):
     a built-in Shiny app to visualize progress while a pipeline is
     running. Available as a Shiny module via
@@ -133,6 +132,16 @@ the results.
     ([app](https://wlandau.shinyapps.io/targetsketch),
     [source](https://github.com/wlandau/targetsketch)).
 
+## Deployment
+
+-   <https://solutions.rstudio.com/r/workflows/> explains how to deploy
+    a pipeline to RStudio Connect ([example
+    code](https://github.com/sol-eng/targets-deployment-rsc)).
+-   [`tar_github_actions()`](https://docs.ropensci.org/targets/reference/tar_github_actions.html)
+    sets up a pipeline to run on GitHub Actions. The [minimal
+    example](https://github.com/wlandau/targets-minimal) demonstrates
+    this approach.
+
 ## Extending and customizing targets
 
 -   [R Targetopia](https://wlandau.github.io/targetopia/): a collection

inst/WORDLIST

@@ -257,6 +257,8 @@ RMSPE
 roadmap
 ropensci
 rOpenSci
+rsc
+rstudio
 RStudio
 Rtools
 Rüeger