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https://github.com/worldbank/dime-r-training

Dime Analytics R Training
https://github.com/worldbank/dime-r-training

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Dime Analytics R Training

Host: GitHub
URL: https://github.com/worldbank/dime-r-training
Owner: worldbank
License: mit
Created: 2018-06-18T16:31:45.000Z (over 6 years ago)
Default Branch: main
Last Pushed: 2024-04-23T13:10:59.000Z (7 months ago)
Last Synced: 2024-08-03T06:02:16.547Z (3 months ago)
Language: HTML
Size: 267 MB
Stars: 109
Watchers: 18
Forks: 67
Open Issues: 16
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

jimsghstars - worldbank/dime-r-training - Dime Analytics R Training (HTML)

README

        # R for Stata users

## Background

This material was developed by the [DIME Analytics](https://www.worldbank.org/en/research/dime/data-and-analytics) team as an introduction to R Statistical Package for its staff.

## Course description

R is a programming language for statistical analysis and data science. 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, and showing how to use R through RStudio, a popular integrated development environment for R.

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](https://dimewiki.worldbank.org/wiki/Stata_Coding_Practices). All sessions are designed to last 90 minutes.

## Training content

[01 - Introduction to R](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/01-intro-to-R.html)

- Introduction to the RStudio interface, R syntax, objects and classes.

Formats:

- [.html](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/01-intro-to-R.html)

- [.pdf](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/01-intro-to-R.pdf)

- [.Rmd](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/01-intro-to-R.Rmd)

[02 - Introduction to R programming](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/02-intro-to-R-programming.html)

- Code organization, R libraries, loops, custom functions, and R programming practices.

Formats:

- [.html](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/02-intro-to-R-programming.html)

- [.pdf](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/02-intro-to-R-programming.pdf)

- [.Rmd](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/02-intro-to-R-programming.Rmd)

[03 - Data wrangling](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/03-data-wrangling.html)

- Basic functions for processing data using the tidyverse meta library.

Formats:

- [.html](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/03-data-wrangling.html)

- [.pdf](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/03-data-wrangling.pdf)

- [.Rmd](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/03-data-wrangling.Rmd)

[04 - Data visualization](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/04-data-visualization.html)

- An introduction to creating and export graphs in `ggplot2`.

Formats:

- [.html](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/04-data-visualization.html)

- [.pdf](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/04-data-visualization.pdf)

- [.Rmd](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/04-data-visualization.Rmd)

[05 - Descriptive analysis](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/05-descriptive-analysis.html)

- How to create and export descriptive statistics table in R.

Formats:

- [.html](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/05-descriptive-analysis.html)

- [.pdf](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/05-descriptive-analysis.pdf)

- [.Rmd](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/05-descriptive-analysis.Rmd)

[06 - Geospatial data](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/06-spatial-data.html)

- An overview of R resources on GIS.

Formats:

- [.html](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/06-spatial-data.html)

- [.pdf](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/06-spatial-data.pdf)

- [.Rmd](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/06-spatial-data.Rmd)

[07 - Introduction to R Markdown](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/07-r-markdown.html)

- An introduction to dynamic documents and R Markdown.

Formats:

- [.html](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/07-r-markdown.html)

- [.pdf](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/07-r-markdown.pdf)

- [.Rmd](https://raw.githack.com/worldbank/dime-r-training/main/Presentations/07-r-markdown.Rmd)

## License

This material is developed under MIT license. See http://adampritchard.mit-license.org/ or see [the `LICENSE` file](https://github.com/worldbank/ietoolkit/blob/main/LICENSE) for details.

## Main Contact

Luis Eduardo San Martin - [email protected]

## Authors

* Luiza Cardoso de Andrade

* Marc-Andrea Fiorina

* Robert A. Marty

* Maria Reyes Retana Torre

* Rony Rodriguez Ramirez

* Luis Eduardo San Martin

* Leonardo Teixeira Viotti