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X-ORIGINAL-URL:https://www.rc.fas.harvard.edu/
X-WR-CALNAME:FAS Research Computing
X-WR-CALDESC:HARVARD UNIVERSITY | FACULTY OF ARTS & SCIENCES
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UID:MEC-4aec9b9c38fe30d8411f2a18e6324c9d@rc.fas.harvard.edu
DTSTART:20220325T160000Z
DTEND:20220325T180000Z
DTSTAMP:20220127T160900Z
CREATED:20220127
LAST-MODIFIED:20220127
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:R Code Optimization Workshop (University-Wide)
DESCRIPTION: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.\nAudience: University-wide\nPre-Requisites: Since students and researchers will utilize the FAS Research Computing CANNON cluster to run the R codes, basic familiarity with the CANNON and Unix commands is strongly recommended. Otherwise, attendees will not be able to keep up during the workshop's hands-on part.\nCost: None\nLate Drop/Cancel Fee: None\nAdditional Information: This is a virtual event on Zoom, and attendees should have access to a laptop or desktop and have a FAS Research Computing CANNON cluster account. Due to time constraints, we will not be able to set up accounts in the workshop or troubleshoot login issues.\nSIGN UP HERE ( https://trainingportal.harvard.edu/Saba/Web_spf/NA1PRD0068/common/leclassview/virtc000000000014595 ) (Harvard Training Portal)\n
URL:https://www.rc.fas.harvard.edu/events/r-code-optimization-mar-25-22/
CATEGORIES:Training
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