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CDVS Workshop: R for Lunch: Streamlining reproducible workflows - from code to reports, slides & dashboards


John Little

R for Lunch is a one-hour lunchtime series designed to help people learn R for reproducible computational thinking. R is a data science and data visualization tool which, when combined with RStudio, the Tidyverse, and Quarto, provides a powerful and flexible environment for reproducible research. We explore RStudio configurations that enable reproducible workflows and simplify generating reports from code. This session leverages best practices that help you take control of your reports and can reduce dependencies on subscription hosts. RStudio and Quarto were introduced and discussed in previous sessions. This event is open to non-Duke participants.


Research, Technology, Workshop/Short Course