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Data Analysis – R Part 4: Reproducible Research

In this workshop you will learn how to recognize the issues that reproducible research helps address. Then you will learn the important roles of documentation, sharing, automation and organization in making research reproducible. You will be introduced to the tools (R/RMarkdown/Git and GitHub) that can be used to make your research reproducible. 

Please note: All software installation must be done before the workshop, please ensure that you followed any account creation or software installation instructions.  Out of courtesy to the class we will not be able to troubleshoot software set up during class time.  If you have any issues, please contact the IT Help Desk

Date:
Friday, November 1, 2019
Time:
9:00am - 3:00pm
Location:
Library 289 Scholars Studio
Categories:
  Maps, GIS & Data