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  • 2014Journal Article Research Paper
    [["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Journal of Statistical Software"],["dc.bibliographiccitation.lastpage","41"],["dc.bibliographiccitation.volume","58"],["dc.contributor.author","Thiele, Jan Christoph"],["dc.date.accessioned","2019-07-10T08:11:53Z"],["dc.date.available","2019-07-10T08:11:53Z"],["dc.date.issued","2014"],["dc.description.abstract","The RNetLogo package delivers an interface 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, execute commands, push values, and to get values from NetLogo reporters. Such a seamless integration of a widely used agent-based modeling platform with a well-known statistical computing and graphics environment opens up various possibilities. For example, it enables the modeler to design simulation experiments, store simulation results, and analyze simulation output in a more systematic way. It can therefore help close the gaps in agent-based modeling regarding standards of description and analysis. After a short overview of the agent-based modeling approach and the software used here, the paper delivers a step-by-step introduction to the usage of the RNetLogo package by examples."],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/11712"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60814"],["dc.language.iso","en"],["dc.notes.intern","Migrated from goescholar"],["dc.relation.issn","1548-7660"],["dc.relation.orgunit","Abteilung Ökoinformatik, Biometrie und Waldwachstum"],["dc.rights","CC BY 3.0"],["dc.rights.access","openAccess"],["dc.rights.uri","https://creativecommons.org/licenses/by/3.0"],["dc.subject","NetLogo; R; agent-based modeling; ABM; individual-based modeling; IBM; statistics; graphics."],["dc.subject.ddc","570"],["dc.title","R Marries NetLogo: Introduction to the RNetLogo Package"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]
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