Dear all, We are excited to announce that only 3 seats remain for our upcoming online course: Efficient Data Analysis with data.table in R Date: 8 October- 10:00–13:00 (Berlin time) The data.table package is one of the fastest and most efficient tools in R for handling large datasets. In this hands-on tutorial, participants will learn how to:
Import data quickly with fread() and export results with fwrite() Master the core syntax of data.table Perform fast row subsetting and column operations Summarize and transform data efficiently Explore advanced features such as special symbols (.N, .SD, .I) No prior experience with data.table is required, but basic R knowledge is expected. This live, interactive session will guide you step by step through practical coding workflows, making it easier to integrate data.table into your everyday data analysis. Reserve one of the last seats here: [ https://www.physalia-courses.org/courses-workshops/data-table/ ]( https://www.physalia-courses.org/courses-workshops/data-table/ ) 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
