Presentation Open Access

RMarkdown Driven Development

Emily Riederer

RMarkdown enables analysts to engage with code interactively, embrace literate programming, and rapidly produce a wide variety of high-quality data products such as documents, emails, dashboards, and websites. However, RMarkdown is less commonly explored and celebrated for the important role it can play in helping R users grow into developers. In this talk, I will provide an overview of RMarkdown Driven Development: a workflow for converting one-off analysis into a well-engineered and well-designed R package with deep empathy for user needs. We will explore how the methodical incorporation of good coding practices such as modularization and testing naturally evolves a single-file RMarkdown into an R project or package. Along the way, we will discuss big-picture questions like “optimal stopping” (why some data products are better left as single files or projects) and concrete details such as the {here} and {testthat} packages which can provide step-change improvements to project sustainability.

Files (1.5 MB)
Name Size
rdd-csvconf-riederer-20200510.pdf
md5:5368a4ff9f6706308ef0c85ff12d7e37
1.5 MB Download
33
29
views
downloads
All versions This version
Views 3333
Downloads 2929
Data volume 42.7 MB42.7 MB
Unique views 3030
Unique downloads 2828

Share

Cite as