Dear all, We’re excited to announce the upcoming 1-day Physalia online course: Efficient Data Analysis with data.table in R Date: 3rd September Time: 10:00 AM–1:00 PM (Berlin time)Course website: [ https://www.physalia-courses.org/courses-workshops/data-table/ ]( https://www.physalia-courses.org/courses-workshops/data-table/ ) data.table is one of R’s most powerful tools for fast, memory-efficient data manipulation. In this hands-on course, participants will learn how to use data.table for importing, exploring, transforming, and exporting data — all within a typical analysis workflow. What you’ll learn:
The core data.table syntax and structure Efficient row subsetting and column operations Fast data import/export with fread() and fwrite() Introduction to advanced features like .N, .SD, and .I Requirements: Basic R knowledge (no prior data.table experience needed) Best regards, Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR [email protected] mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ ) [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
