Last Update
RStudio and R Markdown
How to use R Markdown and its grammar Oct. 3, 2022
How to deal with errors 🚧
Data Handling with RStudio
1. Data Handling (Basic) Oct. 25, 2022
2. Data Handling (Advance) 🚧
3. Data Cleaning Sep. 16, 2022
Data Visualization
4. ggplot2 (Basic) Oct. 3, 2022
5. ggplot2 (Barchart) Sep. 29, 2022
ggplot2 (Histogram) Oct. 26, 2022
ggplot2 (Boxplot) 🚧
ggplot2 (Scatterplot) 🚧
ggplot2 (Line graph) Sep. 16, 2022
ggplot2 (Dot plot) 🚧
6. Map 1 (World, Japan) Sep. 16, 2022
7. Map 2 (Prefecture) 🚧
8. Map 3 (Election District) 🚧 Statistics for Empirical Analysis
9. Descriptive Statistics Sep. 16, 2022
10. Inferential Statistics Sep. 16, 2022
11. t test (1 group) Sep. 16, 2022
12. t test (2 groups) Sep. 16, 2022
13. Correlation and Chi-square Test Sep. 16, 2022
Linear Regression (Prediction)
14. Regression 1 (Basic) Dec. 2, 2022
15. Regression 2 (Dummy variable) Dec. 2, 2022
16. Regression 3 (BLUE) 🚧
17. Regression 4 (Interaction term 1) Dec. 2, 2022
18. Regression 5 (Interaction term 2) Dec. 2, 2022
19. Regression 6 (Regression to the mean) 🚧
20. Regression 7 (Simulation) 🚧
Linear Regression (Causal Inference)
21. Selection Bias and Rubin's Causal Model (Theory) 🚧
22. Selection bias (Simulation) 🚧
23. Randomized Controlled Trial: RCT 🚧
24. Regression for Causal Inference 🚧
25. Regression 8 (Omitted Variable Bias) 🚧
26. Regression 9 (Backdoor Standard and DAG) 🚧
27. Regression 10 (RDD: Basic) 🚧
28. Regression 11 (RDD: Advance) 🚧
29. Regression 12 (DID) 🚧
30. Regression 13 (Propensity Score) 🚧
31. Regression 14 (IV: Basic) 🚧
32. Regression 15 (IV: Advance) 🚧
Non-linear Regression
33. Logistic Regression Analysis 🚧
34. Logistic Regression Analysis (Interaction term) 🚧
35. Ordinary Linear Regression and Maximum Likelihood 🚧
Other Stuff
36. How to install R and RStudio by Yuki Yanai Sep. 16, 2022
37. Statistical Modeling 🚧
38. Visualization of Japan's Lower House Elections (1996-2021) 🚧
39. Data Scraping 🚧
40. Conjoint Analysis 🚧
41. Multinominal Logit 🚧
42. Monte Carlo Experiments Oct. 11, 2022