bttomio / dime-r-training

Dime Analytics R Training

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R for Stata users

Background

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.

Training content

01 - Introduction to R

  • Introduction to RStudio, R syntax, objects and classes. Designed for a 1h30m session.

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02 - Data processing

  • Basic functions for processing data. Designed for a 1h30m session.

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03 - Data visualization

  • An introduction to creating and export graphs in ggplot2. Designed for a 1h30m session.

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04 - Descriptive analysis

  • How to create and export descriptive statistics table in R. Designed for a 1h30m session.

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05 - Geospatial data

  • An overview of R resources on GIS. Designed for a 1h30m session.

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06 - R programming practices

  • Uses and R master script to explore code organization, loops, custom functions and if statements. Designed for a 1h30m session.

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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) - dimeanalytics@worldbank.org

Authors

  • Luiza Cardoso de Andrade
  • Robert A. Marty
  • Leonardo Teixeira Viotti
  • Rony Rodriguez-Ramirez
  • Luis Eduardo San Martin

About

Dime Analytics R Training

License:MIT License


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