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.
See also
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.
Examples
if (FALSE) { # \dontrun{
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()
})
} # }