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Data Services Class Descriptions

Information, materials, and schedules for all currently offered Data Services classes.
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

Room description:

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
Prerequisites:
  • Familiarity with RStudio, including how to install and load libraries
  • Comfort with writing and editing code in RStudio’s text editor
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
Class Materials:

Slides: https://nyu-dataservices.github.io/Reproducibility-R 
Related Classes:

Introduction to R

Data Wrangling in R

Introduction to Git and GitHub
Additional Training Materials:

R Markdown tutoria

Writing reproducible papers with R Markdown

RRTools documentation
Feedback: bit.ly/feedbackds

Upcoming sessions for this tutorial

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