## What and why

Over the past couple of years I have been developing a small suite of R-Shiny tools for teaching quantitative research methods. R-Shiny is an R library for writing interactive web pages with full access to the power of the R statistical programming language. The tools I have written include demonstrations of ideas, self-teaching exercises and assessments.

If you use R already, writing Shiny web pages is a relatively easy extension, though programming an interactive web page has some important differences from conducting a data analysis. R is very general and very powerful, so there are lots of possibilities. This is both a strength and a weakness: generality means that while lots of things are possible, many require extensive programming. Nonetheless, it is relatively quick and easy to create simple and robust tools.

This (relatively long) blog is based on an early draft of a paper summarising some of the main things I have learnt, and showcasing a handful of examples. I’m putting it out partly just to record and display what I’ve done, but also to solicit feedback, particularly about how best to use apps like this to good pedagogical effect.

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