This material was developed by the DIME Analytics team as an introduction to R.

R is a programming language for statistical analysis and data science. 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, and showing how to use R through RStudio, a popular integrated development environment for R.

The first sessions of the course will build upon comparisons to Stata syntax and requires familiarity with the use of do-files, loops and locals. All sessions are designed to last 90 minutes. Participants need to have R and RStudio installed to follow each session.

• 01 - Introduction to R
  • Introduction to the RStudio interface, R syntax, objects and classes.
  • Formats:
    • .html
    • .pdf
    • .Rmd
• 02 - Introduction to R programming
  • Code organization, R libraries, loops, custom functions, and R programming practices.
  • Formats:
    • .html
    • .pdf
    • .Rmd
• 03 - Data wrangling
  • Basic functions for processing data using the tidyverse meta library.
  • Formats:
    • .html
    • .pdf
    • .Rmd
• 04 - Data visualization
  • An introduction to creating and export graphs in ggplot2.
  • Formats:
    • .html
    • .pdf
    • .Rmd
• 05 - Descriptive analysis
  • How to create and export descriptive statistics table in R.
  • Formats:
    • .html
    • .pdf
    • .Rmd
• 06 - Geospatial data
  • An overview of R resources on GIS.
  • Formats:
    • .html
    • .pdf
    • .Rmd

• Introduction to R Markdown
  • An introduction to dynamic documents and R Markdown.
  • Formats:
    • .html
    • .pdf
    • .Rmd

We welcome your contributions to this project! Please read our Contributing Guide for details on our Code of Conduct and the process for submitting pull requests.

This project is licensed under the MIT License together with the World Bank IGO Rider. The Rider is purely procedural: it reserves all privileges and immunities enjoyed by the World Bank, without adding restrictions to the MIT permissions. Please review both files before using, distributing or contributing.

Please use the citation suggested in CITATION.cff. Find the APA and BIBTeX formats in the right hand side menu of the landing page of this project's repository.

DIME Analytics ([email protected])

• Luiza Cardoso de Andrade
• Marc-Andrea Fiorina
• Robert A. Marty
• Maria Reyes Retana Torre
• Rony Rodriguez Ramirez
• Luis Eduardo San Martin
• Leonardo Teixeira Viotti