useR! 2024

Learn how to unlock your programming superpower with debugging techniques! In this workshop, we will review code troubleshooting tips, discuss debugging functions (traceback(), browser(), debug(), trace(), and recover()), and distinguish between strategies for debugging your own code versus someone else’s code.

Registration:
To add this tutorial to your registration, log in to your existing registration, click the Modify Registration button, and navigate to the Reg Options page (page 4). Select the tutorial you want to attend.

data.table is one of the most efficient open-source in-memory data manipulation packages available today. It can summarise, compute new variables, re-arrange tables and perform group-wise operations quickly, and memory efficiently thanks to its highly optimised C code. It also provides fast alternatives to base R functions for reading and writing files. This three-hour tutorial will introduce participants to data.table’s basics. Through live coding sessions and hands-on exercises, participants will learn how to use data.table as part of their data analysis pipeline; from reading data into memory to writing the results back, including exploration, data manipulation and joins. The tutorial will also lay the foundations for learning more advanced features, such as special symbols and combined operations. We will finish the tutorial with an invitation to join the data.table community and learn how to contribute to the package.

Registration:
To add this tutorial to your registration, log in to your existing registration, click the Modify Registration button, and navigate to the Reg Options page (page 4). Select the tutorial you want to attend.

This 3-hour workshop introduces the Futureverse - A Unifying Parallelization Framework in R for Everyone - for any R developer looking for options to run their R code in parallel. Designed for participants familiar with R, the workshop does not require prior knowledge of R package development or parallel computing. It is structured into four parts, covering an introduction to futures, managing outputs, warnings, errors, map-reduce parallelization, and concluding with an open discussion. Futureverse (https://www.futureverse.org) is designed, so existing code can be parallelized with a minimal amount of modifications, and allow the developer to keep their focus on the main purpose of their code. We will explore parallel alternatives to familiar programming patterns in base R apply (future.apply), Tidyverse purrr (furrr), and foreach with doFuture. Each part will have hands-on learning components, ensuring participants leave with the skills to apply these techniques to their own projects. Instructions to participants will be made available online at https://www.futureverse.org/tutorials.html prior to the event. All material will be made available there after the event.

Registration:
To add this tutorial to your registration, log in to your existing registration, click the Modify Registration button, and navigate to the Reg Options page (page 4). Select the tutorial you want to attend.

Join us for an engaging 3-hour face-to-face course designed to enhance your R programming skills with a focus on developing reliable R packages used in statistics or data science. This course is a blend of informative presentations and interactive team exercises, aimed at equipping participants with practical tools and techniques for engineering high-quality R packages. Throughout the session, you will collaborate to build a small R package that adheres to clean code rules and incorporates good software engineering practices. This course is tailored for individuals who are comfortable with writing functions in R and are looking to elevate their package development skills. Bring your laptop and be prepared to transform your approach to R package development through hands-on learning and collaboration. Whether you're looking to improve your workflow, meet regulatory standards, or simply enhance the quality of your statistical tools, this course offers valuable insights and skills to achieve your goals.

Registration:
To add this tutorial to your registration, log in to your existing registration, click the Modify Registration button, and navigate to the Reg Options page (page 4). Select the tutorial you want to attend.