nl_set_measures: Set or change measures of existing NetLogo experiment
In bergant/nlexperiment: Exploration of NetLogo Agent Based Models

Description Usage Arguments Details Value See Also

Set or change measures of existing NetLogo experiment

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nl_set_measures(experiment, step = NULL, run = NULL, eval_criteria = NULL,
  eval_aggregate_fun = NULL, eval_mutate = NULL, as.data.frame = TRUE,
  step_transform = NULL, keep_step_measures = FALSE)

`experiment`	NetLogo experiment object
`step`	NetLogo reporters for each step (reported at every tick). A list of named character vectors. Use `measures` function to get the correct structure.
`run`	NetLogo reporters for each run (reported at end of run). A list of named character vectors. Use `measures` function to get the correct structure.
`eval_criteria`	A criteria calculation expressions. May use `step` or `run` data frames to calculate criteria. Elements from `step` should be aggregated. Must return named numeric vector.
`eval_aggregate_fun`	Aggregate criteria. It makes sense when when repetitions > 1
`eval_mutate`	Add criteria based on aggregated values
`as.data.frame`	Reporting in data frame format (TRUE by default)
`step_transform`	A function to transform data frame result from step reporters. When simulation has many steps and only summary data is needed, step_transform can reduce memory requirements to run experiment.
`keep_step_measures`	Keep individual step measures results even if evaluation criteria is defined (FALSE by default)