Data analysis workflows

This tutorial covers how to organise a data analysis workflow in R, including code style, managing the environment, producing literate programming documents, and structuring projects as self-contained and reproducible research compendiums of data and code.

Prerequisites

• Marwick (2016), Computational Reproducibility in Archaeological Research: Basic Principles and a Case Study of Their Implementation, Journal of Archaeological Method and Theory 24: 424–450.