ABSTRACT
Understanding stochastic biological systems requires repeated simulation and ensemble averaging any time-dependent solutions. This simulation and averaging process could reveal consistent patterns in the solution beyond a single solution trajectory. This chapter introduces workflows for repeated simulation and ensemble averaging using advanced data science tools in R such as grouping and summarizing by the time dependent variable and visualizing the ensemble average.
