plotYield | R Documentation |
After running a projection, the total yield of each species across all
fishing gears can be plotted against time. The yield is obtained with
getYield()
.
plotYield(
sim,
sim2,
species = NULL,
total = FALSE,
log = TRUE,
highlight = NULL,
return_data = FALSE,
...
)
plotlyYield(
sim,
sim2,
species = NULL,
total = FALSE,
log = TRUE,
highlight = NULL,
...
)
sim |
An object of class MizerSim |
sim2 |
An optional second object of class MizerSim. If this is provided its yields will be shown on the same plot in bolder lines. |
species |
The species to be selected. Optional. By default all target species are selected. A vector of species names, or a numeric vector with the species indices, or a logical vector indicating for each species whether it is to be selected (TRUE) or not. |
total |
A boolean value that determines whether the total over all species in the system is plotted as well. Note that even if the plot only shows a selection of species, the total is including all species. Default is FALSE. |
log |
Boolean whether yield should be plotted on a logarithmic axis. Defaults to true. |
highlight |
Name or vector of names of the species to be highlighted. |
return_data |
A boolean value that determines whether the formatted data used for the plot is returned instead of the plot itself. Default value is FALSE |
... |
Other arguments (currently unused) |
A ggplot2 object, unless return_data = TRUE
, in which case a data
frame with the three variables 'Year', 'Yield', 'Species' is returned.
plotting_functions, getYield()
Other plotting functions:
animateSpectra()
,
plot,MizerParams,missing-method
,
plot,MizerSim,missing-method
,
plotBiomass()
,
plotDiet()
,
plotFMort()
,
plotFeedingLevel()
,
plotGrowthCurves()
,
plotPredMort()
,
plotSpectra()
,
plotYieldGear()
,
plotting_functions
params <- NS_params
sim <- project(params, effort = 1, t_max = 20, t_save = 0.2, progress_bar = FALSE)
plotYield(sim)
plotYield(sim, species = c("Cod", "Herring"), total = TRUE)
# Comparing with yield from twice the effort
sim2 <- project(params, effort=2, t_max=20, t_save = 0.2, progress_bar = FALSE)
plotYield(sim, sim2, species = c("Cod", "Herring"), log = FALSE)
# Returning the data frame
fr <- plotYield(sim, return_data = TRUE)
str(fr)
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