Our primary aim for this case study is to gain some hands-on experience with essential R packages and functions for SNA. We learn how to preparing network data for analysis and creating a simple network sociogram to help describe visually what our network “looks like.” Specifically, this case study will cover the following topics pertaining to each data-intensive workflow process (Krumm, Means, and Bienkowski 2018).

Outline of Biostats class chapters 10-15. Covers R code used in various statistical methods such as normal distributions, Z distributions, t-test, and ANOVAs.