This material was developed by the DIME Analytics team as an introduction to R Statistical Package for its staff. It builds upon knowledge of Stata to explore features of R with impact evaluation applications in mind. 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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This material is developed under MIT license. See http://adampritchard.mit-license.org/ or see the LICENSE file for details.
Luiza Cardoso de Andrade (lcardoso@worldbank.org) - dimeanalytics@worldbank.org
- Luiza Cardoso de Andrade
- Robert A. Marty
- Leonardo Teixeira Viotti
- Rony Rodriguez-Ramirez
- Luis Eduardo San Martin