plot.selectivity: Compare the estimated selectivity across different models.

In PacificCommunity/ofp-sam-diags4MFCL: R Functions for Presenting MULTIFAN-CL Results and Diagnostics

Compare the estimated selectivity across different models.

Description

Compare the estimated selectivity across different models.

Usage

plot.selectivity(
  rep.list,
  rep.names = NULL,
  sel.basis = "AGE",
  palette.func = default.model.colours,
  fisheries,
  save.dir,
  save.name,
  fsh.lab = NULL,
  ...
)

Arguments

rep.list	A list of MFCLRep objects or a single MFCLRep object. The reference model should be listed first.
rep.names	A vector of character strings naming the models for plotting purposes. If not supplied, model names will be taken from the names in the rep.list (if available) or generated automatically.
sel.basis	A character string indicating if selectivity at age ('AGE') or length ('Length') should be plotted
palette.func	A function to determine the colours of the models. The default palette has the reference model in black. It is possible to determine your own palette function. Two functions currently exist: default.model.colours() and colourblind.model.colours().
fisheries	A vector giving the number of the fisheries to plot. Default is to plot everything.
save.dir	Path to the directory where the outputs will be saved
save.name	Name stem for the output, useful when saving many model outputs in the same directory
fsh.lab	A vector of fisheries labels
...	Passes extra arguments to the palette function. Use the argument all.model.colours to ensure consistency of model colours when plotting a subset of models.

PacificCommunity/ofp-sam-diags4MFCL documentation built on Oct. 11, 2023, 1:32 a.m.