@@ -17,9 +17,11 @@ tar_option_set(
1717 # in tar_make(), supply a {crew} controller
1818 # as discussed at https://books.ropensci.org/targets/crew.html.
1919 # Choose a controller that suits your needs. For example, the following
20- # sets a controller with 2 workers which will run as local R processes:
20+ # sets a controller that scales up to a maximum of two workers
21+ # which run as local R processes. Each worker launches when there is work
22+ # to do and exits if 60 seconds pass with no tasks to run.
2123 #
22- # controller = crew::crew_controller_local(workers = 2)
24+ # controller = crew::crew_controller_local(workers = 2, seconds_idle = 60 )
2325 #
2426 # Alternatively, if you want workers to run on a high-performance computing
2527 # cluster, select a controller from the {crew.cluster} package.
@@ -34,7 +36,7 @@ tar_option_set(
3436 # seconds_idle = 120,
3537 # # Many clusters install R as an environment module, and you can load it
3638 # # with the script_lines argument. To select a specific verison of R,
37- # # you may need to include a version string, e.g. "module load R/4.3.0 ".
39+ # # you may need to include a version string, e.g. "module load R/4.3.2 ".
3840 # # Check with your system administrator if you are unsure.
3941 # script_lines = "module load R"
4042 # )
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