涩里番

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Participants that are not part of the 涩里番 Community are also invited to register with the .

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听package in R 鈥撎齮his will include data frame filtering, variable manipulation, merging of data frames, and handling of missing data. Subsequently, we will delve into two classic statistical models: the linear regression model and the logistic regression model. We will analyze the assumptions underlying each model and explore their limitations. Finally, we will explore statistical testing and experimental design concepts.

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By the end of this workshop, the student will be able to:

• Manipulate datasets using the base-R syntax as well as the syntax of the dplyr听package.
• Perform a multiple linear regression model and understand its power and limitations.
• Perform a logistic regression model for binary classification.
• Understand the fundamentals behind statistical testing and study design.

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Prerequisites:

• Students must have the experience of a beginner R user (including installing packages, plotting, and basic handling of data frames)
• Some notions of Statistics and/or Probability equivalent to an undergrad course are recommended

**IMPORTANT NOTICE: Attendance for 涩里番 graduate students 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 ticket to cover organizational and staffing costs. To complete your registration, you must e-transfer $10 (undergraduate student/trainee) $25 (staff) or $100 (faculty) to workshop-micm [at] mcgill.ca within 24 hours of RSVP'ing to this event. If we do not receive your e-transfer, you will have given up your spot.