Resource Round-Up: Reproducible Research Edition

I frequently talk, think, and tweet about how open science principles apply to data analysts and scientists in industry. However, despite my interest in reproducibility, my process for sharing my favorite articles on this topic has been anything but reproducible – repeatedly searching my browser history, past “Sent” mails, or simply typing out the same summaries over and over. Going forward, this post serves as a brief annotates bibliography for some of my favorite reads. [Read More]

RMarkdown Driven Development (RmdDD)

Introduction RMarkdown is an excellent platform for capturing narrative analysis and code to create reproducible reports, blogs, slides, books, and more. One benefit of RMarkdown is its abilities to keep an analyst in the “flow” of their work and to capture their thought process along the way. However, thought processes are rarely linear; as a result, first-draft RMarkdown scripts rarely are either. This is fine for some individual analysis and preliminary exploration but can significantly decrease how understandable and resilient an RMarkdown will be in the future. [Read More]