Plot natural mortality (M) at age

plot_natural_mortality(
  dat,
  group = NULL,
  facet = NULL,
  era = NULL,
  interactive = TRUE,
  module = NULL,
  make_rda = FALSE,
  figures_dir = getwd(),
  ...
)

Arguments

dat

Data frame or list. A tibble or named list of tibbles (input as list()) returned from convert_output.

If inputting a list of tibbles, the first tibble's reference point defined in ref_line is used to plot a reference line or calculate relative spawning biomass.

group

String. Single column that groups the data.

Set group = "none" to summarize data over all indexing values.

Default: NULL Options: Including, but not limited to: "year", "area", "fleet", "sex", "none", NULL

facet

Character vector. Column name or names used for faceting.

Default: NULL

era

String. Era of data.

Default: "time"

Options: "early", "time", "fore" (forecast), or NULL (all data)

interactive

Logical. TRUE/FALSE; indicate whether the environment is interactive.

Default: FALSE

module

Character vector. (Optional) Module name found in dat$module_name. If selecting >1 module, place them in a vector like c("module1", "module2").

Default: NULL

If the interactive and >1 module_name is found, user will select the module_name in the console. @seealso filter_data()

make_rda

Logical. TRUE/FALSE; indicate whether to save the object and make an automated caption and alternative text in the form of an rda object. If TRUE, the rda will be exported to the folder indicated in the argument "figures_dir".

Default: FALSE.

figures_dir

Path. Path to the "figures" folder.

Default: getwd()

The folder is created within the path if it does not exist.

...

Arguments called from geom_line or geom_point

Value

A plot showing natural mortality at age.

Details

The input is from an assessment model output file translated to a standardized output (convert_output). There are options to return a ggplot2 object or export an .rda object containing associated caption and alternative text for the figure.

Examples

plot_natural_mortality(
  dat = stockplotr:::example_data,
  module = "Natural_Mortality",
  interactive = FALSE
)
#> Ignoring unknown labels:
#> • linetype : "Sex"
#> • shape : "Sex"