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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