https://github.com/danielvartan/r-course-exercise

πŸ‹οΈβ€β™‚οΈ Exercise for the Course "An Introduction to the R Programming Language"

https://github.com/danielvartan/r-course-exercise

Science Score: 26.0%

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Keywords

brazil children data-report data-science misfs nutrition r-course r-programming rstats sisvan ultra-processed-foods
Last synced: 5 months ago · JSON representation

Repository

πŸ‹οΈβ€β™‚οΈ Exercise for the Course "An Introduction to the R Programming Language"

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brazil children data-report data-science misfs nutrition r-course r-programming rstats sisvan ultra-processed-foods
Created 11 months ago · Last pushed 11 months ago
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README.md

r-course-exercise

Project Status: Inactive – The project has reached a stable, usable state but is no longer being actively developed; support/maintenance will be provided as time allows. License: MIT <!-- badges: end -->

Overview

πŸ§’πŸ½πŸ‡§πŸ‡·πŸ”πŸŸπŸ•πŸ«πŸ­πŸ¬πŸΏπŸ₯€πŸ©πŸͺπŸ°πŸ§ƒ

This repository contains a data analysis exercise for the course An Introduction to the R Programming Language.

The report investigates differences in ultra-processed food consumption among Brazilian children aged 2 to 4 in 2022. The analysis focuses on clusters B and D of the Revised Multidimensional Index for Sustainable Food Systems (MISFS-R). You can view the full report here.

How to Use

The analyses contained in the report are fully reproducible. They were made using the R programming language and the Quarto publishing system. The renv package was used to ensure that the R environment used can be restored (see renv.lock).

To reproduce the analyses do the following steps:

  1. Clone this repository.
  2. Open the R project in your IDE of choice.
  3. Run renv::restore() to install all software dependencies.
  4. Open index.qmd and run the analyses.

License

License:
MIT License: CC BY
4.0

The code in this repository is licensed under the MIT License, while the documents are available under the Creative Commons Attribution 4.0 International License.

How to Cite

To cite this work, please use the following format:

Vartanian, D., & Pereira, J. L. (2025). An introduction to the R programming language: Class exercise [Report]. Sustentarea Research and Extension Group at the University of SΓ£o Paulo. https://danielvartan.github.io/r-course-exercise/

A BibTeX entry for LaTeX users is

@techreport{vartanian2025, title = {An introduction to the R programming language: Class exercise}, author = {{Daniel Vartanian} and {Jaqueline Lopes Pereira}}, year = {2025}, address = {SΓ£o Paulo}, institution = {Sustentarea Research and Extension Group at the University of SΓ£o Paulo}, langid = {en}, url = {https://danielvartan.github.io/r-course-exercise/} }

Owner

  • Name: Daniel Vartanian
  • Login: danielvartan
  • Kind: user
  • Location: SΓ£o Paulo, Brazil
  • Company: @sustentarea

Academic. Passionate about #opendata and #openscience.

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