R for Data Analysis, part 2 (tidyverse approach 2020)
Channel: librarianwomack
Date: 2020-09-21

Ryan Womack, Data Librarian
Rutgers University - New Brunswick Libraries
https://ryanwomack.com
https://mastodon.social/@ryandata/ 

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.

Part 2 works through an example of importing and transforming data, then generating descriptive statistics, running statistical tests, and performing linear regression.

Screencast version of a workshop at Rutgers University. 
This series is an introduction to R with an emphasis on the tidyverse.

Related R materials at
https://libguide.rutgers.edu/data_R

Code at 
https://github.com/ryandata/tidyverse_approach