Linear models @ DPUK

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This is a short course on linear models using the R programming language.

Each day will comprise a 1 hour lecture in the morning, and a practical in the afternoon.

Before starting, please make sure you are able to access RStudio on the DPUK Research platform. During the training event you will be primarily working on the research platform.

If you wish to install RStudio locally on your own laptop, you can find detailed instructions at this link. However, you won’t have access to the DPUK data outside of the DPUK research platform.

Schedule

Day 1: Monday

• Lecture
  • Day 1 Slides
  • Exam Score Data
• Guided Practice
  • Introduction to R, RStudio, and linear models
  • stroke.csv data
• Further reading from our courses at the University of Edinburgh:
  • Introduction to R and RStudio
  • Simple linear regression

Day 2: Tuesday

• Lecture
  • Day 2 Slides
  • Salary 1
• Guided Practice
  • R script
  • stroke.csv data
• Further reading from our courses at the University of Edinburgh:
  • Multiple linear regression
  • Multiple linear regression & Standardization
  • Model Comparison

Day 3: Wednesday

• Lecture
  • Day 3 Slides
  • Salary 2
  • Salary 3 data (on it’s way)
• Guided Practice
  • R script
  • acer.csv data
• Further reading from our courses at the University of Edinburgh:
  • Interactions 1: Categorical*Continuous
  • Interactions 2: Continuous*Continuous
  • Interactions 3: Categorical*Categorical

Day 4: Thursday

• Lecture
  • Day 4 Slides
• Guided Practice
  • R script
  • Influencer data
  • Outliers, High Leverage, and Influential Points
• Further reading from our courses at the University of Edinburgh:
  • Assumptions & Diagnostics
  • Writing up

Staff

• Dr Tom Booth - Reach out at tom.booth@ed.ac.uk
• Dr Josiah King
• Dr Umberto Noe