Invoke 'Repast Simphony' Simulation Models


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Documentation for package ‘rrepast’ version 0.3

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AddFactor Adds a paramter to factor collection
AddResults Concatenate results of multiple runs
ApplyFactorRange Corrects the LHS design matrix
BuildParameterSet Builds the simulation parameter set
ClearResults Clear the results data.frame
createOutputDir Create output directory
Engine Creates an instance of Engine
Engine.endAt Configure the maximun simulated time for the current model run
Engine.Finish Performs a cleanup on engine instance.
Engine.getId Returns the model id
Engine.GetModelOutput Gets the model output data as a CSV String array
Engine.getParameter Get the value of model parameter s as java.lang.Object
Engine.getParameterAsDouble Get the value of model parameter s as java.lang.Double
Engine.getParameterAsNumber Get the value of model parameter s as java.lang.Number
Engine.getParameterAsString Get the value of model parameter s as java.lang.String
Engine.getParameterNames Parameter names
Engine.getParameterType Get the type of a model parameter
Engine.LoadModel Loads the scenario files
Engine.RunModel Run the model
Engine.SetAggregateDataSet Sets the model's dataset
Engine.setParameter Set the value of model parameter
GetFactorsSize Get the number of factors
getId Gets the model name
getKeyRandom Gets Repast randomSeed name
GetOutput Gets the output
getOutputDir Gets output directory
GetResults Returns the model results
GetResultsParameters Gets the parameters
GetSimulationParameters Gets the simulation parameters
jvm.get_parameters Gets the current java virtual machine parameters
jvm.init Init R/JVM environment
jvm.set_parameters Configures the jvm parameters
LatinHypercube Generate a LHS sample for model parameters
Load The Scenario loader
Logger.setLevelInfo Set the log level to INFO
Logger.setLevelWarning Set the log level to WARNING
Model The easy API for model initilization
Run Run simulations
RunExperiment Run an experimental setup
SaveSimulationData Saving simulation output
setId Sets the model name
setKeyRandom Sets Repast randomSeed name
setOutputDir Sets output directory
SetResults Stores a data.frame
SetResultsParameters Sets the parameters
SetSimulationParameters Set parameters for running model
ShowClassPath Java Classpath
ShowModelPaths Prints the paths