Abstract
Most analyses start with the analyst experimenting with R code in a script or a notebook. But what happens when this experimental work becomes mission critical and starts being used to make real-world decisions? This tutorial will cover the basics of converting experimental R code into high-quality Production grade R software that can be relied on. It will cover hands-on demonstrations of tools and techniques such as R packages, functional code, documentation, testing, hosting and deployment. Background: This is an introductory course perfect for users familiar with writing R code for themselves who now want it work well with others.
Links
Live in person, not recorded.
Data Science Workflows in R e-book
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