Modifies the various forcing parameters of the rsim scenario object.
Usage
adjust.forcing(
Rsim.scenario,
parameter,
group,
sim.year = 1,
sim.month = 0,
bymonth = F,
value
)Arguments
- Rsim.scenario
Scenario object that contains all of the rsim rates and forcing functions generated by
rsim.scenario().- parameter
Parameters to be modified (
ForcedEffort,ForcedCatch,ForcedFRate)- group
Name of the group whose parameter is being changed. Valid values are found in the `Group` field of the object created from running
rpath()- sim.year
Year of the simulation that should be modified. Can be a range of years.
- sim.month
Month of the year that should be modified. If set to 0, all months of the year are modified.
- bymonth
Boolean value that denotes whether to use sim.year/sim.month combo or just sim.month as a sequential vector starting at 1.
- value
New value for the parameter.
See also
Other Adjust functions:
adjust.fishing(),
adjust.scenario(),
set.rsim.scene()
Examples
# Read in Rpath parameter file and generate balanced model
Rpath <- rpath(AB.params)
# Create a 50 yr Rsim scenario
Rsim.scenario <- rsim.scenario(Rpath, AB.params, years = 1:50)
# Adjust the ForcedPrey parameter for cod in year 1 for all months. Change the value to 10
Rsim.scenario.adjusted <- adjust.forcing(Rsim.scenario, parameter="ForcedPrey",group = "cod", sim.year = 1, sim.month=0,value=10)
head(Rsim.scenario.adjusted$forcing$ForcedPrey)
#> Outside whales seals cod whiting mackerel anchovy shrimp benthos
#> 1.1 1 1 1 10 1 1 1 1 1
#> 1.2 1 1 1 10 1 1 1 1 1
#> 1.3 1 1 1 10 1 1 1 1 1
#> 1.4 1 1 1 10 1 1 1 1 1
#> 1.5 1 1 1 10 1 1 1 1 1
#> 1.6 1 1 1 10 1 1 1 1 1
#> zooplankton phytoplankton detritus sealers trawlers seiners bait boats
#> 1.1 1 1 1 1 1 1 1
#> 1.2 1 1 1 1 1 1 1
#> 1.3 1 1 1 1 1 1 1
#> 1.4 1 1 1 1 1 1 1
#> 1.5 1 1 1 1 1 1 1
#> 1.6 1 1 1 1 1 1 1
#> shrimpers
#> 1.1 1
#> 1.2 1
#> 1.3 1
#> 1.4 1
#> 1.5 1
#> 1.6 1