… of simulation … analysis for agent-based modellers, we show how to use a suite of important
established methods. Because NetLogo and R are widely used in agent-based modelling and …

… model analyses and thereby make agent-based modelling more useful. … software platforms:
NetLogo for implementing agent-based models, and R for the statistical analysis and design …

… certain statistical distributions and experimental design, and for … R extension of NetLogo.
It consists of only nine new NetLogo primitives for sending data between NetLogo and R …

… Agent-based models find wide application in all fields of science where large-scale patterns
emerge from properties of individuals. Due to increasing capacities of computing resources …

… others’ world and software platform. This, we hope, will lead to more rigorous model analyses
and, thereby, to making better use of individual- and agent-based models for answering …

… of agent-based modeling? 6. How can I analyze the results of an agent-based model? 7. …
an ABM to refer to an agent-based model, or ABMs to refer to agent-based models. We rely on …

… to embed the agent-based modeling platform NetLogo into the R environment with headless
(no graphical user interface) or interactive GUI mode. It provides functions to load models, …

… agent-based models. To demonstrate the benefits of this approach, we conducted a replication
experiment on 18 agent-based models … NetLogo. Their task was to rewrite the original …

… Among simulation models, agent-based models (ABMs) are one of the … [50], that enable the
analysis of simulation results with R. … NetLogo [62] is an agent-based modeling environment …

… of current challenges in agent-based modeling. One of these … to make forecasts and to
design experiments which could not … use of our R extension of NetLogo is the analysis of the …