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The Sched app allows you to build your schedule for the useR! Virtual Event. The virtual event is free; there is no cost to participate.

Virtual Tutorials will take place live on Zoom, and you must pre-register in order to participate. You will be able to use the chat and Q&A features in Zoom to ask the presenters questions. Please register by clicking on the link in the tutorial’s description.

Virtual Session Presentations will take place on YouTube Premier. Speakers will be available during the presentation to answer questions in the chat. The presentations can be found in this playlist.

Please note: This schedule is automatically displayed in Central European Summer Time (UTC+02:00). To see the schedule in your preferred timezone, please select from the drop-down located at the bottom of the menu to the right.

IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

The in-person program will take place in Salzburg, Austria, on 8-11 July. Please see the in-person schedule page for more information.

Tuesday July 2, 2024 19:30 - 19:50 CEST


The data.table package in R is a powerful tool for data analysis, combining efficient C code with user-friendly R syntax. To ensure its long-term sustainability, the NSF POSE program has funded a project from 2023 to 2025 to build a self-sustaining ecosystem around data.table. In this presentation, we will discuss the importance of performance testing in the development of data.table and present a general approach that can be applied to other R packages. By creating performance tests based on historical regressions, we can measure the package's efficiency over time and memory usage, ensuring that code and version releases do not impact its performance. We will demonstrate the use of the atime package to benchmark execution time and memory usage, providing developers with confidence in maintaining efficient performance and reliability. This approach not only benefits data.table but also serves as a model for other R package developers to enhance the performance and popularity of their own projects.
Speakers
avatar for Doris Afriyie Amoakohene

Doris Afriyie Amoakohene

Performance Testing and Comparative Benchmarking for data.table, Northern Arizona Univeristy
Doris holds a degree in BSc. Statistics and is currently pursuing a master's degree in Informatics at the Northern Arizona University. She is the Founder and CEO of LAG Prestige Foundation. Additionally, Doris is a Research Assistant in a Machine learning lab and actively involved... Read More →
Tuesday July 2, 2024 19:30 - 19:50 CEST
YouTube Premier
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