Tidy eval lesson design

[bensoltoff]

Learning objectives

• Build functions that call tidyverse functions, using bare-name arguments:
  • Designed for interactive use, i.e. like dplyr::filter()
• Understand terms: data masking, tidy select, dynamic dots
• Recognize other ways to use tidy eval:
  • Functions that call tidyverse functions using string-based arguments, i.e. for use with Shiny.
  • Correspondence with techniques used for bare-name arguments.
• Important that I teach how to use this with dplyr-type packages and ggplot2 for visualizations

Sources/inspiration for unit

• Day 2, session 3 - covers a lot of the basic concepts, but I need to develop my own data examples/applications
• Programming with dplyr
• Using ggplot2 in packages

[bensoltoff]

Need a relevant dataset to demo/practice these techniques