Venue: Modern Languages Building (MLB), Room 2001B
Matt Dowle, author of the data.table package, describes it as, “provid[ing] a high-performance version of base R’s data.frame with syntax and feature enhancements for ease of use, convenience and programming speed.” In this workshop I will first introduce the data.table syntax using generic SQL and the dplyr R package as reference points. Topics to be discussed include subsetting, aggregating, and merging data frames. I will then discuss updating by reference and its role in efficiently working with large data sets. Other advanced uses of the powerful data.table syntax will be covered as time permits.
If you have questions about this workshop, please send an email to email@example.com
Mark your calendar for the MICDE SciFM 2024 Conference on April 2nd & 3rd, 2024!