Uses a static Rpath
model and creates a scenario consisting of 5 list objects:
params
generated by rsim.params()
, start_state
generated by rsim.state()
,
forcing
generated by rsim.forcing()
, fishing
generated by rsim.fishing()
,
and 'stanzas
generated by rsim.stanzas()
.
Arguments
- Rpath
R object containing a static
Rpath
model.- Rpath.params
R object containing the parameters needed to create a
Rpath
model. This is generated either by thecreate.rpath.params()
orread.rpath.params()
functions.- years
A vector of each year of the simulation.
Value
Returns an Rsim.scenario
object that can be supplied to the
rsim.run()
function. Rsim.scenario
is a list of 5 objects:
params
, list of 39 dynamic parameters and vectors derived from anRpath
model, see output ofrsim.params()
start_state
, list of 9 initial value vectors for biomass and size structured stanza groups, see output ofrsim.state()
andrsim.stanzas()
forcing
, list of 7 matrices for time series forcing of biological attributes, see output ofrsim.forcing()
fishing
, list of 3 matrices for time series forcing of fishing attributes, see output ofrsim.fishing()
stanzas
, list of 21 parameters and vectors for age structured groups, see output ofrsim.stanzas()
See also
Other Rsim functions:
extract.node()
,
rsim.params()
,
rsim.plot()
,
rsim.run()
,
rsim.step()
,
write.Rsim()
Examples
# Read in Rpath parameter file and generate model object
Rpath <- rpath(AB.params)
# Create a 50 yr Rsim scenario
Rsim.scenario <- rsim.scenario(Rpath, AB.params, years = 1:50)