**Training Content**
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. 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.
4. Data Processing: basic functions for porcessing data. Designed for a
2h session.
5. Descriptive Statistics: how to create and export descriptive
statistics table in R. Designed for a 1h30 session.
6. Data Visualization: an introduction to creating and export graphs in
ggplot2. Designed for a 1h30 session. Geopatial Data: an overview of
R resources on GIS. Desined for a 3h session.
**License**
This material is developed under MIT license. See http://adampritchard.mit-license.org/ or see the LICENSE file for details.
**Main Contact**
Luiza Cardoso de Andrade (lcardoso@worldbank.org)
**Authors**
Luiza Cardoso de Andrade, Robert A. Marty, Leonardo Teixeira Viotti
