This is a Docker image intended to be paired with PrairieLearn to externally grade R-based problems for use in the STAT 430 (2018-2020) and STAT 447 (since 2021) courses on Data Science Programming Methods at the University of Illinois at Urbana-Champiagn (UIUC). In the previous course iteration, a CentOS7-based container was used via Python. We now drive R directly from PrairieLearn evaluating code in this container. However, the container is however perfectly generic and can be used for general R work as well.
It is based on the Rocker container r-ubuntu in order to take
advantage of the prebuilt Ubuntu binaries.
See the Dockerfile for full details but we include
- tidyverse and data.table for data manipulation;
- RUnit, testthat and tinytest for testing;
- microbenchmark, rbenchmark and bench for timing;
- shiny, flexdashboard, dygraphs for shiny;
and more. We also include a few command-line applications such as git and sqlite3.
Note that because Docker is being difficult and does not recognise this GitHub organization as one
associated with its ownwer. So we build the images out of a fork of this repo with in the
eddelbuettel account. It is not by choice.
Alton Barbehenn and Dirk Eddelbuettel
GPL (>= 2)