R for Data Analytics

Wednesday, September 25, 2019
12 pm–1:30 pm
Library of Science and Medicine

Contact:

Ryan Womack

The session introduces the R statistical software environment and basic methods of data analysis, and also introduces the "tidyverse." While R is much more than the "tidyverse," the development of the "tidyverse" set of packages, led by RStudio, has provided a powerful and connected toolkit to get started with using R. Note that graphics and data manipulation are covered in subsequent sessions.

This session will be held in the LSM Conference Room.

These workshops are open to all without registration.

Bring your own laptop to these sessions to get the most out of them!  

Library of Science and Medicine