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Building Blocks for Reproducibility: RStudio and Git

In response to a growing focus on the importance of reproducibility, replication, and transparency in the research endeavor, scholars are adapting their practices and learning new skills and tools. DVS is offering a workshop series that will introduce the concepts, practices and tools that will help increase the reproducibility of your work.

In this hands-on workshop you will discover how to harness two specific tools: git and RStudio, to support the execution of more reproducible research projects. Git is a powerful version control system.  RStudio is an open-source data science platform/ecosystem supporting reproducible analysis and report generation.  

To fully participate in this workshop, please bring your own laptop.  This workshop focuses on the practical aspects of configuring RStudio with Git.  A later git workshop will also use RStudio and Git to teach more advanced git features and social coding with GitHub/GitLab.

Prerequisite:  Intro to R. All attendees are expected to be basically familiar with the R Studio environment.  

Tuesday, September 25, 2018
10:00am - 11:00am
Bostock 023 Training Room
West Campus
Data and Visualization  
Registration has closed.

Event Organizer

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John Little
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Center for Data and Visualization Sciences