R is a programming language and software environment for statistical analysis. It is a powerful and flexible tool widely used among statisticians and data scientists, and has a growing user base in economics research. This course is designed to familiarize participants with the language, focusing on common tasks and analysis in development research. By the end of the course, participants should be able to perform basic data cleaning and analysis in R.
Description: Learn to perform exploratory analysis and basic data manipulation in R. Through hands-on exercises, participants will practice:
- Printing quick summary statistics
- Creating summary statistics tables
- Exporting table from R into csv, excel and TeX
- Saving regression tables
Prerequisites: Participation in the ‘Introduction to R’ session or basic knowledge of R (what are vectors, matrices and data frames, what are Boolean and factor variables).
The course will be delivered in six sessions, one per week. This is the second session.