run_task: Run a task
In traitecoevo/experimentr: Run computational experiments

Run a task. This is designed to run locally, rather than being run from a cluster.

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run_task(experiment, task, id = NULL, parallel = TRUE, ...,
  dry_run = FALSE, backup = FALSE, capture_output = NULL,
  preschedule = FALSE)

`experiment`	Name of the experiment
`task`	Name of the task
`id`	Id of the jobs to run. If omitted, all ids for this experiment will be run.
`parallel`	Run in parallel using `parallel::mclapply`?
`...`	Arguments passed through to `mclapply`.
`dry_run`	Logical, indicating if we should actually run things.
`backup`	Logical, backup any existing output
`capture_output`	Should we capture output? By default this happens if running noninteractively, or if more than one id is used.
`preschedule`	If running in parallel, should we preallocate jobs? If your jobs are at all computationally intensive, setting this to FALSE (the default) will allow better use of resources. For very quick jobs, the overhead involved here may outweigh savings, but that's unlikely if you're using experimentr...