diff --git a/README.Rmd b/README.Rmd index d6a825bd9..0580b562d 100644 --- a/README.Rmd +++ b/README.Rmd @@ -80,13 +80,19 @@ Minimal example | Machine learning with Keras | Validating a minimal Stan model | Using Target Markdown and `stantargets` to validate a Bayesian longitudinal model for clinical trial data analysis | +Shiny app that runs a pipeline | +Deploying a pipeline to RStudio Connect | ## 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 + +* 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. diff --git a/README.md b/README.md index b1268cf9b..250ae7ae2 100644 --- a/README.md +++ b/README.md @@ -116,12 +116,11 @@ the results. | Machine learning with Keras | | | Validating a minimal Stan model | | | Using Target Markdown and `stantargets` to validate a Bayesian longitudinal model for clinical trial data analysis | | +| Shiny app that runs a pipeline | | +| Deploying a pipeline to RStudio Connect | | ## 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 + +- 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 diff --git a/inst/WORDLIST b/inst/WORDLIST index c135e3304..f72cad040 100644 --- a/inst/WORDLIST +++ b/inst/WORDLIST @@ -257,6 +257,8 @@ RMSPE roadmap ropensci rOpenSci +rsc +rstudio RStudio Rtools Rüeger