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.

1. Intro to R: introduction to RStudio, R syntax, objects and classes. Designed for a 3h session.
2. Coding Best Practices in R: uses and R master script to explore code organization, loops, custom functions and if statements. Designed for a 1h30 session.
3. Data Processing: basic functions for porcessing data. Designed for a 2h session.
4. Descriptive Statistics: how to create and export descriptive statistics table in R. Designed for a 1h30 session.
5. Data Visualization: an introduction to creating and export graphs in ggplot2. Designed for a 1h30 session.
6. Geopatial Data: an overview of R resources on GIS. Desined for a 3h session.

This material is developed under MIT license. See http://adampritchard.mit-license.org/ or see the LICENSE file for details.

Luiza Cardoso de Andrade ([email protected])

Luiza Cardoso de Andrade, Robert A. Marty, Leonardo Teixeira Viotti