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DTSTART:20260922T150000Z
DTEND:20260922T170000Z
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SUMMARY:The Essentials of R for Statistical Analysis Pt. 3 (taught by the Cornell Statistical Consulting Unit)
DESCRIPTION:\n\nIntermediate Statistical Analysis and Workflow in R (In 
 Person) \n\nWorkshop Location: Upson 225\n\n \n\nThis is the second 
 workshop in the three-part Essentials of R for Statistical Analysis 
 workshop series. This series teaches the essential concepts and skills 
 participants need to work with and analyze their own datasets in R. It is 
 designed for people with little or no experience with programming or 
 statistics. \n\nThis session introduces two-way ANOVA\, multiple linear 
 regression\, and post-hoc testing. Participants will also learn how to 
 organize code and data using RStudio Projects and communicate their methods 
 and results using R Markdown. \n\nBefore the workshop\, please install R 
 and RStudio by following the instructions at cscu.cornell.edu/installr. 
 \n\n \n\nTopics include: \n\n\n	\n	Two-way ANOVA \n	\n\n\n\n	\n	Multiple 
 linear regression \n	\n\n\n\n	\n	Post-hoc tests \n	\n\n\n\n	\n	Organizing 
 code and data with RStudio Projects \n	\n\n\n\n	\n	Communicating results 
 with R Markdown \n	\n\n\n \n\nInstructor: Matt Thomas\, Statistical 
 Consultant\, Cornell Statistical Consulting Unit (CSCU)\n\n \n\n
LOCATION:Upson 225
ORGANIZER;CN="Lencia McKee":MAILTO:lcb235@cornell.edu
CATEGORIES:Data Den, Faculty, Graduate Students, Research Data & Open Scholarship, Staff, Undergraduate Students
CONTACT;CN="Lencia McKee":MAILTO:lcb235@cornell.edu
STATUS:CONFIRMED
UID:LibCal-17274458
URL:https://spaces.library.cornell.edu/event/17274458
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