Shiny-and web development with data–is fun.
I haven’t done a lot of personal work with Shiny recently. Most of what I’ve done with Shiny in the last few years has been professional, contained in Docker, and launched on either a Shiny server or pushed to a cloud provider. However, here’s a few apps I put together a long time ago.
- Grade inflation at North American universities - An exercise in web scraping (15 Dec 2014), I pulled these data from the website GradeInflation.com with a simple
Rfuntion (using regex) for display purposes. I doubt most people realize how prevalent–and rapid–grade inflation is throughout our university system. - The distribution of slopes from linear models - Much more academic (published 9 Sep 2014), I wrote this app to easily explore how the distribution of the slopes of fisheries weight-as-a-function-of-length data changes as the length range of a population changes. This is part of a manuscript I’m working on to introduce quantile regression of fisheries weight-length data as a means to compare actual fish weights to estiated fish weights of different distributions.
- Playing craps - An app for fun (published 1 Sep 2014). I spent a cold and windy Sunday afternoon coding a craps simulation in
Rin winter 2013. Recently I decided that it’d be fun to rewrite that for publication to Shiny. - Walleye weight-length data - My first app (published 12 Aug 2014) as a ‘proof of concept’ for myself. This is a simple app, meant only as a training exercise. The plots in this app are ‘standard’ plots and regressions are “standard” plots for fisheries science. Indeed, weight-length data is some of the most important data collected in fisheries (see Ranney et al. 2010 and Ranney et al. 2011 for more information).