at {simmer} | R Documentation |
These convenience functions facilitate the definition of generators of arrivals for some common cases.
at(...) from(start_time, dist, arrive = TRUE) to(stop_time, dist) from_to(start_time, stop_time, dist, arrive = TRUE, every = NULL)
... |
a vector or multiple parameters of times at which to initiate an arrival. |
start_time |
the time at which to launch the initial arrival. |
dist |
a function modelling the interarrival times. |
arrive |
if set to |
stop_time |
the time at which to stop the generator. |
every |
repeat with this time cycle. |
at
generates arrivals at specific absolute times.
from
generates inter-arrivals following a given distribution
with a specified start time. to
generates inter-arrivals following
a given distribution with a specified stop time. from_to
is the
union of the last two.
Returns a generator function.
t0 <- trajectory() %>% timeout(0) simmer() %>% add_generator("dummy", t0, at(0, c(1,10,30), 40, 43)) %>% run(100) %>% get_mon_arrivals() t0 <- trajectory() %>% timeout(0) simmer() %>% add_generator("dummy", t0, from(5, function() runif(1, 1, 2))) %>% run(10) %>% get_mon_arrivals() t0 <- trajectory() %>% timeout(0) simmer() %>% add_generator("dummy", t0, to(5, function() runif(1, 1, 2))) %>% run(10) %>% get_mon_arrivals() t0 <- trajectory() %>% timeout(0) # from 8 to 16 h every 24 h: simmer() %>% add_generator("dummy", t0, from_to(8, 16, function() runif(1, 1, 2), every=24)) %>% run(48) %>% get_mon_arrivals()