Labs

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• 0.– Introduction to the Course
• 1. – Introduction to R, RStudio and knitr
• 2. – Graphing and Data Manipulation
• 3. – Linear Regression, Matrices, and predicted Values
• 4. – Multivariate Linear Regression, and Predicted Values
• 5. – Loops and simulation
• 6. – Binary Models and Data Wrangling
  • Data
  • Codebook

• 7. – Case Study