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UID:20260406T002611EDT-3410ICIV59@132.216.98.100
DTSTAMP:20260406T042611Z
DESCRIPTION:MyInvolvement pages are for in-person attendees only. To regist
 er for the online session\, please use the Microsoft Forms link:Participan
 ts that are not part of the McGill Community are also invited to register 
 with the Microsoft Forms link.In this 4-hour workshop\, we will provide a 
 brief introduction to Statistics using R. We will start by presenting key 
 features of the dplyr package in R – this will include data frame filterin
 g\, variable manipulation\, merging of data frames\, and handling of missi
 ng data. Subsequently\, we will delve into two classic statistical models:
  the linear regression model and the logistic regression model. We will an
 alyze the assumptions underlying each model and explore their limitations.
  Finally\, we will explore statistical testing and experimental design con
 cepts. By the end of this workshop\, the student will be able to:Manipulat
 e datasets using the base-R syntax as well as the syntax of the dplyr pack
 age.Perform a multiple linear regression model and understand its power an
 d limitations.Perform a logistic regression model for binary classificatio
 n.Understand the fundamentals behind statistical testing and study design.
  Prerequisites:Students must have the experience of a beginner R user (inc
 luding installing packages\, plotting\, and basic handling of data frames)
 Some notions of Statistics and/or Probability equivalent to an undergrad c
 ourse are recommended**IMPORTANT NOTICE: Attendance for McGill graduate st
 udents and postdoctoral fellows is subsidized by Graduate and Postdoctoral
  Studies. All other attendees such as undergraduate students\, interns and
 /or graduate students from other institutions are required to purchase a t
 icket to cover organizational and staffing costs. To complete your registr
 ation\, you must e-transfer $10 (undergraduate student/trainee) $25 (staff
 ) or $100 (faculty) to workshop-micm [at] mcgill.ca within 24 hours of RSV
 P'ing to this event. If we do not receive your e-transfer\, you will have 
 given up your spot.Online Event InstructionsMyInvolvement pages are for in
 -person attendees only. To register for the online session\, please use th
 e Microsoft Forms link.
DTSTART:20250717T170000Z
DTEND:20250717T210000Z
LOCATION:Education Building\, CA\, QC\, Montreal\, H3A 1Y2\, 3700 rue McTav
 ish
SUMMARY:Statistics in R (Part 2)
URL:https://www.mcgill.ca/channels/channels/event/statistics-r-part-2-36592
 6
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