plot.pred.obs.catch: Plot difference between observed and predicted catches

Description Usage Arguments

View source: R/plot.pred.obs.catch.R

Description

Plot difference between observed and predicted catches. The differences can be scaled by the total catch of each fishery. Multiple models can be passed in.

Usage

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plot.pred.obs.catch(
  rep.list,
  rep.names = NULL,
  fisheries,
  fishery_names,
  scale.diff = TRUE,
  show.legend = TRUE,
  show.points = FALSE,
  palette.func = default.model.colours,
  save.dir,
  save.name,
  ...
)

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.

fisheries

The numbers of the fisheries to plot.

fishery_names

The names of the fisheries to plot.

show.legend

Do you want to show the plot legend, TRUE (default) or FALSE.

show.points

Do you want to show points as well as the smoother for the difference plots? Default is FALSE.

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().

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

...

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 July 18, 2021, 9:25 a.m.