The British Ecological Society’s Guide to Reproducible Science

December 6, 2017
By

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

The British Ecological Society has published a new volume in their Guides to Better Science series: A Guide to Reproducible Code in Ecology and Evolution (pdf). The introduction, by , describes its scope:

A Guide to Reproducible Code covers all the basic tools and information you will need to start making your code more reproducible. We focus on R and Python, but many of the tips apply to any programming language. Anna Krystalli introduces some ways to organise files on your computer and to document your workflows. Laura Graham writes about how to make your code more reproducible and readable. François Michonneau explains how to write reproducible reports. Tamora James breaks down the basics of version control. Finally, Mike Croucher describes how to archive your code. We have also included a selection of helpful tips from other scientists.

The guide proposes a simple reproducible project workflow, and a guide to organizing projects for reproducibility. The Programming section provides concrete tips and traps to avoid (example: use relative, not absolute pathnames), and the Reproducible Reports section provides a step-by-step guide for generating reports with R Markdown.

Rmarkdown

While written for an ecology audience (and also including some gorgeous photography of animals), this guide would be useful for anyone in the science looking to implement a reproducible workflow. You can download the guide at the link below.

British Ecological Society: A Guide to Reproducible Code in Ecology and Evolution (via Laura Graham)

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