Create, share, and re-run health-climate analyses as Reproducible Analytical Pipelines (RAPs). The tutorials below cover pipeline export, integration with targets, and sharing tools — from a reproducible script to full project scaffolding with renv, Quarto, and GitHub Actions.
| RAP | Title | Main Functions |
|---|---|---|
| 1 | Export and Run RAPs | sus_rap_export(), sus_rap_read(), sus_rap_run() |
| 2 | Pipelines with targets | sus_rap_targets(), sus_rap_make() |
| 3 | Share and Scaffolding | sus_rap_share(), sus_rap_template() |
Export and Run RAPs
Convert any climasus4r pipeline into a reproducible artifact (script, R Markdown, Quarto, or function). Read it back, inspect it, re-run it with new parameters, and update the file on disk. Covers sus_rap_export(), sus_rap_read(), sus_rap_run().
View Tutorial →Pipelines with targets
Generate a _targets.R with intelligent caching and dynamic parallelism by state (UF), year, or Cartesian product. Run and monitor it via sus_rap_targets() and sus_rap_make(). Ideal for multi-state analyses.
View Tutorial →Share and Scaffolding
Export a compact YAML recipe, import pipelines from colleagues, use the Shiny GUI to edit without code, and create complete projects with renv + targets + Quarto in a single line with sus_rap_template().
View Tutorial →