Comprehensive Introduction to Command Line for R Users

Too little time, too many things of interest. Here’s a resource that’s still on my to-do list: A Comprehensive Introduction to Command Line for R Users by rsquaredacademy.com In this tutorial, you will be introduced to the command line. We have selected a set of commands we think will be useful in general to a…

Hierarchical Linear Models 101

Multilevel models (also known as hierarchical linear models, nested data models, mixed models, random coefficient, random-effects models, random parameter models, or split-plot designs) are statistical models of parameters that vary at more than one level (Wikipedia). They are very useful in Social Sciences, where we are often interested in individuals that reside in nations, organizations, teams, or other higher-level units. Next to their individuals characteristics, the characteristics of…