Reproducible Research: Tools

Instructor
Boriana Pratt is a Statistical Programmer at the Office of Population Research at Princeton University.  She earned a Masters degree in Biostatistics from the University of California at Berkeley.
Time/Place
1/10/2017 from 1:30 PM to 4:00 PM ~ 300 Wallace
Description

This workshop introduces concepts, software tools and best practices for making research reproducible. Topics include version control (Git/Github), managing file dependencies (make), and tools for creating dynamic documents – most tools presented are in R through Rstudio (Sweave, Rmarkdown, Knitr, R Notebook); two Stata commands (Weaver, Stata markdown) will be presented towards the end.

Audience
Attendees should have some experience using either R or Stata, all levels are welcome.
Format
Lecture, discussion and hands-on exercises.
Requirements
Attendees should bring a laptop with R and Rstudio, or Stata (if you are a Stata user), already installed. However, if you don’t have access to a laptop to bring to this workshop, you are still welcome to attend and learn ways to make your research reproducible.