Economics 346, “Applied Economic Statistics Using R,” was offered during Fall 2023, TR 5:40-6:55, in-person in BBH 242.

Syllabus (Fall 2023)
Lecture notes

Suggested texts:
Venables and Smith
Grolemund and Wickham
Illowsky and Dean (Introductory statistics)

Basic R Operations
Basic Tools: Summary Statistics and Correlation
Distributions and Hypothesis Testing
Regression Analysis
Regression Coefficients
Heteroskedasticity

Here are the YouTube videos and the corresponding .R files (numbered by lecture).

1. A Very Basic Introduction to R and RStudio    [.R File]

2. Calculating Real GDP and Growth in R    [.R File]

3. Basic Summary Statistics in R   [.R File]   [.pdf: statistical formulas]

4. Calculating (Inflation) Correlations in R   [.R File]   [.pdf: understanding correlations]

5. Basic Data Visualization in R    [.R File]

6. Basic Data Visualization and Customization in R    [.R File]

7. Visualizing Statistical Distributions in R   [.R File]   [.pdf: Compendium of distributions]
   Generating a Chi-Square Distribution in R using a for() Loop    [.R File]
   Visualizing the Binomial Distribution Using R   [.R File]
   Using R to Visualize the Poisson Distribution    [.R File]
   Using R to Visualize the F-Distribution    [.R File]
   Using dnorm() to compare the Normal and T-distributions in R   [.R File]

8. Simple T-Tests in R   [.R File]    [.pdf: A concise summary of statistical concepts]

9. Regression Analysis in R    [.R File]
   Calculating a Simple (Nonparametric) Regression Slope Coefficient in R    [.R File]
   Regression Concepts Explained    [Excel file]
   Understanding Regression Coefficients     [.R File]

10. Regression Example: The Urban "Rank-Size-Rule" in R    [.R File]
    Evaluating the "Rank-Size Rule" for Different Sample Sizes in R    [.R File]

11. Time series materials are "shared" with my Econ 343 course.

More information at www.scotthegerty.com.