Workshops @ Cornell University Library
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The Essentials of R for Statistical Analysis Pt. 3 (taught by the Cornell Statistical Consulting Unit)
Intermediate Statistical Analysis and Workflow in R (In Person)
Workshop Location: Upson 225
This 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.
This 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.
Before the workshop, please install R and RStudio by following the instructions at cscu.cornell.edu/installr.
Topics include:
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Two-way ANOVA
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Multiple linear regression
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Post-hoc tests
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Organizing code and data with RStudio Projects
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Communicating results with R Markdown
Instructor: Matt Thomas, Statistical Consultant, Cornell Statistical Consulting Unit (CSCU)