ANIMATION FOR SIMULATION EDUCATION IN R

R is freely-available software for statistical computing, providing a variety of statistical analysis functionality. In prior work, we introduced and released the simEd package for R, focusing on functions for generating discrete and continuous variates via inversion, for extensible single- and multiple-server queueing simulation, and including real-world data sets for input modeling and analysis. In this current work, we significantly enhance and extend the simEd package, primarily through the introduction of a variety of animation and visualization utilities intended to aid in simulation education. These include animations of eventdriven simulation details for a single-server queueing model, of random-variate generation for a variety of distributions, of a Lehmer random number generator, of variate generation via acceptance-rejection, and of generating a non-homogeneous arrival process via thinning.