This course will introduce users to the use of Packrat, R Markdown, and integrating git with R to enable reproducible research workflows and meet the needs for documenting data.
| Software: |
R, Git |
| Duration: |
90 min |
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Room description:
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As our global pandemic continues, some tutorials are held remotely and require NYU sign on to access, while others are held in person, without a remote component. Please note the correct modality and location of the tutorial when registering
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| Prerequisites: |
- Familiarity with RStudio, including how to install and load libraries
- Comfort with writing and editing code in RStudio’s text editor
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| Skills Taught / Learning Outcomes: |
- Building standardized template-based approaches to organizing research data file directories
- Understanding how to set and package versioned R libraries using Packrat to enable reproducible scripts and workflow
- Documenting R workflows using R Markdown
- Version control through integration of R and Git
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| Class Materials: |
Slides: https://nyu-dataservices.github.io/Reproducibility-R
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| Related Classes: |
Introduction to R
Data Wrangling in R
Introduction to Git and GitHub
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| Additional Training Materials: |
R Markdown tutoria
Writing reproducible papers with R Markdown
RRTools documentation
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| Feedback: |
bit.ly/feedbackds |
