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I spent the weekend putting together a "Meta RMarkdown" blog post!

4 R Markdown Strategies:

1 - Literate Programming
2 - Data Product
3 - Control Document
4 - Template

themockup.blog/posts/2020-07-…

#rstats #datascience #tidyverse
1 - Literate Programming

Use RMarkdown like a reproducible scientific notebook, capturing code, comments, and specific outputs in a output document.

All in plain text that is easily human-readable in version control!
2 - Data Product

Generate all sorts of fancy outputs from RMarkdown, such as:
- Presentations (Powerpoint or web native like remark.js)
- Dashboards w/ flexdashboards
- Reports as HTML, PDF, Word, etc
- Entire websites w/ blogdown, hugodown, distill
3 - Control Document

Use RMarkdown with parameters to create multiple outputs from one input or use child documents to source multiple inputs into one output.

Generate output emails with blastula or automate ETL work, scheduled reporting, etc via RStudio Connect.
4 - Templates

Knit reports programmatically w/ knit::render()

Use {purrr} within a document to generate multiple chunks at once

Use {whisker} to template plain text documents (R, RMD, txt, etc)

usethis::use_template() (h/t to @sharlagelfand ) to create reporting templates.
If you want to learn more about "How to Teach RMarkdown", make sure to read @apreshill 's post!

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