This Element discusses how shiny, an R package, can help
instructors teach quantitative methods more effectively by way of
interactive web apps. The interactivity increases instructors'
effectiveness by making students more active participants in the
learning process, allowing them to engage with otherwise complex
material in an accessible, dynamic way. The Element offers four
detailed apps that cover two fundamental linear regression topics:
estimation methods (least squares, maximum likelihood) and the
classic linear regression assumptions. It includes a summary of
what the apps can be used to demonstrate, detailed descriptions of
the apps' full capabilities, vignettes from actual class use, and
example activities. Two other apps pertain to a more advanced topic
(LASSO), with similar supporting material. For instructors
interested in modifying the apps, the Element also documents the
main apps' general code structure, highlights some of the more
likely modifications, and goes through what functions need to be
amended.
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