R is an excellent tool for various computational and statistical analysis tasks, including data processing, data analysis, and data wrangling. Like all other computational tools, R could sometimes be slow and delay our computational jobs and analysis workflow. This workshop offers a review of techniques and methods to optimize and speed up our analysis with R. This way; we can shorten the computational time and get results faster. The workshop also addresses a few optimization techniques for memory intensive or CPU intensive jobs on the FAS Research Computing CANNON cluster as well as best practices to optimize R codes in general.

• Audience: University-wide
• Pre-Requisites: Since students and researchers will utilize the FAS Research Computing cluster to run the R codes, basic familiarity with the cluster and Unix commands is strongly recommended. Otherwise, attendees will not be able to keep up during the workshop's hands-on part.
• Cost: None
• Late Drop/Cancel Fee: None

Additional Information: This is a virtual event on Zoom, and attendees should have access to a laptop or desktop and have a FAS Research Computing cluster account. Due to time constraints, we will not be able to set up accounts in the workshop or troubleshoot login issues. Please ensure you have a FASRC account and have logged in prior to attending.