R for Reproducibility
  • Dr. D. Palleschi
  • Moodle
  1. Basic workflow
  2. 6  Writing reproducible code
  • Preface
  • Conceptualisation
    • 1  Open Science Practices
    • 2  Reproducibility
    • 3  Documentation
  • Basic workflow
    • 4  RProjects
    • 5  Folder structure
    • 6  Writing reproducible code
    • 7  Code review
  • Research workflow
    • 8  Pre-registration
    • 9  Version control
    • 10  Storing results
  • Writing
    • 11  Publishing your analyses
    • 12  Writing it up
    • 13  Collaboration
  • 14  Summary
  • Exercises
    • 15  Exercises
  • References
  • Appendices
    • A  Glossary
    • B  Project setup
  1. Basic workflow
  2. 6  Writing reproducible code

6  Writing reproducible code

Under construction

Coming soon!In the meantime, you can view the slides for this topic here (Writing reproducible code) and here (Data wrangling).

5  Folder structure
7  Code review
Source Code
# Writing reproducible code {#sec-repro_code}

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# Under construction {.unnumbered .uncounted .unlisted}

Coming soon!In the meantime, you can view the slides for this topic [here (Writing reproducible code)](https://daniela-palleschi.github.io/r4repro_SoSe2024/slides/05-literate_programming/repro_code.html) and [here (Data wrangling)](https://daniela-palleschi.github.io/r4repro_SoSe2024/slides/06-data_wrangling/cleaning.html).
:::