Construct a new nl object

Construct a new nl object

Usage

nl(
  nlversion = "6.0.2",
  nlpath = character(),
  modelpath = character(),
  jvmmem = 1024,
  experiment = methods::new("experiment"),
  simdesign = methods::new("simdesign"),
  ...
)

Arguments

nlversion

A character string defining the NetLogo version that is used

nlpath

Path to the NetLogo main directory matching the defined version

modelpath

Path to the NetLogo model file (*.nlogo) that is used for simulations

jvmmem

Java virtual machine memory capacity in megabytes

experiment

Holds a experiment S4 class object

simdesign

Holds a simdesign S4 class object

...

...

Value

nl S4 class object

Details

nl objects are the main class objects used in the nlrx package. These objects store all information that is needed to run NetLogo simulations. nl objects are initialized with basic information on Netlogo and the model.

After setting up the nl object, an experiment needs to be attached. The experiment class stores all information related to the NetLogo simulation experiment, such as runtime, variables, constants, measurements, and more.

After attaching an experiment, different simdesign helper functions can be used to attach a simdesign to the nl object. The simdesign helper functions use the variable definitions from the experiment within the nl object to generate a parameter tibble for simulations.

Examples

# Example for Wolf Sheep Predation model from NetLogo models library:
# Windows default NetLogo installation path (adjust to your needs!):
netlogopath <- file.path("C:/Program Files/NetLogo 6.0.3")
modelpath <- file.path(netlogopath, "app/models/Sample Models/Biology/Wolf Sheep Predation.nlogo")
outpath <- file.path("C:/out")
# Unix default NetLogo installation path (adjust to your needs!):
netlogopath <- file.path("/home/NetLogo 6.0.3")
modelpath <- file.path(netlogopath, "app/models/Sample Models/Biology/Wolf Sheep Predation.nlogo")
outpath <- file.path("/home/out")

nl <- nl(nlversion = "6.0.3",
         nlpath = netlogopath,
         modelpath = modelpath,
         jvmmem = 1024)