I have recently started learning Racket. For a first task, I tried to build a simple age-structured population model. I hit a stumbling block and reached out to the helpful folks on the Racket mailing list. In this post, I recap the mailing list exchange with a target audience of R programmers that are interested in learning more about Racket.
The simple model used for this exercise is a deterministic multistage Beverton-Holt model.
Shiny Scorekeeper is a basketball scorekeeper app built with the Shiny web framework for R. I’ve written about the motivation for creating Shiny Scorekeeper on my projects page. The short version is that I needed a new app for scoring video of my son’s basketball games and I decided it would be a good learning experience to try to build my own. In this post, I describe using DataTables from the DT package as the interface to the CRUD (create-read-update-delete) features in Shiny Scorekeeper.
In developing the DSM2 HYDRO Viz Tool, we were faced with deciding how to deploy a Shiny app that required interaction with large local files. I first heard about the possibility of using Electron to deploy Shiny apps as standalone desktop applications in this talk by Katie Sasso, but it wasn’t until I discovered the R Shiny Electron (RSE) template that I decided to take the plunge.
R Shiny Electron Build Process The R Shiny Electron (RSE) template includes only very basic instructions for how to get started with this process (and they clearly specify that it is not ready for production).