Reproducible learning with #RMarkdown: Our experiences (v0.01, Draft 1.01)

Reproducibility of research results is one of the core if frequently overlooked axioms of scientific endeavour. Lately it seems to be making something of a comeback through the growth in open data, open source software and open science more generally. If data, code and results are open then anyone can try to reproduce the results with the original or (even better) their own data. Inspired by comments on r-bloggers, one or two new books and our experiences with this approach, we (Stephanie, Luke and I) have tried to apply these research practices to our teaching.