Set your R code free; turn it into a command-line tool by Jeroen Janssens Visit https://rstats.ai/nyr/ to learn more. Abstract: If your data analyses involve coding, then you know how liberating it is to use and create functions. They hide complexity, improve testability, and enable reusability. In this talk I explain how you can really set your R code free: by turning it into a command-line tool. The command line can be a very flexible and efficient environment for working with data. It's specialized in combining tools that are written in all sorts of languages (including R and Python), running them in parallel, and applying them to massive amounts of (streaming) data. Although the command line itself has quite a learning curve, turning your existing R code into a tool is, as I demonstrate, a matter of a few steps. I discuss how your new tool can be combined with existing tools in order to obtain, scrub, explore, and model data at the command line. Finally, I share some best practices regarding interface design. Bio: Jeroen Janssens is an independent data science consultant and an RStudio-certified instructor. He enjoys visualizing data, implementing machine learning models, and building solutions using Python, R, JavaScript, and Bash. He’s passionate about helping and teaching others to do such things. Jeroen runs Data Science Workshops, a training and coaching firm that organizes open enrollment workshops, in-company courses, inspiration sessions, hackathons, and meetups. Previously, he was an assistant professor at Jheronimus Academy of Data Science and a data scientist at Elsevier in Amsterdam and various startups in New York City. He is the author of Data Science at the Command Line, published by O’Reilly Media. Jeroen holds a PhD in machine learning from Tilburg University and an MSc in artificial intelligence from Maastricht University. He lives with his wife and two kids in Rotterdam, the Netherlands. Twitter: https://twitter.com/jeroenhjanssens Presented at the 2021 New York R Conference (September 9, 2021)