Lecture 1: Intro to R and data analysis

2024-07-24

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Lecture 1 Outline

  • Introduction to R and R-studio
    • Why R?
    • Principles of reproducible analysis with R + RStudio
  • R objects, functions, packages
  • Understanding different types of variables
    • Principles of “tidy data”
    • Data cleaning and manipulation
  • Descriptive statistics
    • Measures of central tendency, measures of variability (or spread), and
  • Frequency distribution
  • Visual data exploration
    • {ggplot2}