wrap {simmer} | R Documentation |
This function extracts the monitored data from a simulation environment making it accessible through the same methods. Only useful if you want to parallelize heavy replicas (see the example below), because the C++ simulation backend is destroyed when the threads exit.
wrap(.env)
.env |
the simulation environment. |
Returns a simulation wrapper.
Methods for dealing with a simulation wrapper:
get_mon_arrivals
, get_mon_attributes
,
get_mon_resources
, get_n_generated
,
get_capacity
, get_queue_size
,
get_server_count
, get_queue_count
.
## Not run: library(parallel) mm1 <- trajectory() %>% seize("server", 1) %>% timeout(function() rexp(1, 2)) %>% release("server", 1) envs <- mclapply(1:4, function(i) { simmer("M/M/1 example") %>% add_resource("server", 1) %>% add_generator("customer", mm1, function() rexp(1, 1)) %>% run(100) %>% wrap() }) ## End(Not run)