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Data Analysis Part III: Reproducible Research in R

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.  


Audience: This workshop is aimed at individuals who conduct statistical analysis. Advanced knowledge of R is not needed, but some familiarity with R is needed. 


Please bring a laptop for your own use during the workshop. The laptop will need to have R and RStudio installed. 

Thursday, June 13, 2019
9:00am - 3:00pm
Library 289 Scholars Studio
  Maps, GIS & Data  
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