A Minimal Book Example
Introduction
References
1 Programming environment
2 Data type and data format
- 2.1 Data type
  - 2.1.1 Numeric
  - R
  - Stata
  - 2.1.2 Logical
  - R
  - Stata
  - 2.1.3 Date
  - R
  - Stata
  - 2.1.4 Character
  - R
  - Stata
  - 2.1.5 Factor
  - R
  - Stata
- 2.2 Data format
  - 2.2.1 Vector
  - R
  - Stata
  - 2.2.2 Matrix
  - R
  - Stata
  - 2.2.3 Data (set)
  - R
  - Stata
  - 2.2.4 List
  - R
  - Stata
3 Data management
4 Descriptive statistics
5 Plotting
- 5.1 Quantitative data
  - R
  - Stata
  - R
  - Stata
  - R
  - Stata
- 5.2 Qualitative data (categorical)
  - R
  - Stata
6 Univariate statistical test
- 6.1 Quantitative data
  - 6.1.1 Two groups comparison
  - R
  - Stata
  - R
  - Stata
  - R
  - Stata
  - R
  - Stata
  - 6.1.2 ANOVA or Kruskal-Wallis tests
  - R
  - Stata
- 6.2 Qualitative data (categorical)
  - R
  - Stata
  - R
  - Stata
7 Regression model
- 7.1 Linear regression
- 7.2 logistic regression
Published with bookdown

Little e-book for MPH1 computer labs

References

Hadley Wickham and Garrett Grolemund. (2017) R for Data Sciences 1st Edition. Available here

Svend Juul (2006) An Introduction to Stata for Health Researchers. Stata Press Available here