This material was developed by the DIME Analytics team as an introduction to R Statistical Package for its staff.
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. The course will build upon comparisons to Stata syntax and requires familiarity with the use of do-files, loops and macros. It also assumes some degree of familiarity with DIME's coding practices. All sessions are designed to last 90 minutes.
- Introduction to RStudio, R syntax, objects and classes.
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02 - Introduction to R programming
- Code organization, R libraries, loops, custom functions, and R programming practices.
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- Basic functions for processing data using the tidyverse meta library.
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- An introduction to creating and export graphs in ggplot2.
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- How to create and export descriptive statistics table in R.
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- An overview of R resources on GIS.
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07 - Introduction to R Markdown
- An introduction to dynamic documents and R Markdown.
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This material is developed under MIT license. See http://adampritchard.mit-license.org/ or see the LICENSE file for details.
Luis Eduardo San Martin - dimeanalytics@worldbank.org
- Luiza Cardoso de Andrade
- Robert A. Marty
- Leonardo Teixeira Viotti
- Rony Rodriguez-Ramirez
- Luis Eduardo San Martin
- Marc-Andrea Fiorina