Plot discards as a line graph.
plot_discard(
dat,
group = NULL,
facet = NULL,
unit_label = "mt",
era = NULL,
lbs = FALSE,
scale_amount = 1,
interactive = TRUE,
module = NULL,
make_rda = FALSE,
figures_dir = getwd()
)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.
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
Character vector. Column name or names used for faceting.
Default: NULL
String. Spawning biomass unit.
Default: "mt"
String. Era of data.
Default: "time"
Options: "early", "time", "fore" (forecast), or NULL (all data)
Logical. TRUE/FALSE; indicate whether to convert the y-axis values from kilograms to pounds. The default units match the default in the unit_label argument - 'mt'.
Default: FALSE
Number. A number to scale the y-axis values.
Default: 1
Logical. TRUE/FALSE; indicate whether the environment is interactive.
Default: FALSE
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()
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.
Path. Path to the "figures" folder.
Default: getwd()
The folder is created within the path if it does not exist.
A ggplot showing discards over time, usually by fleet.
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.
All plotting functions automatically recognize indexing variables and will
use them in groupings and/or facetting. @seealso process_data().
plot_discard(
dat = stockplotr:::example_data,
module = "DISCARD_OUTPUT"
)
#> Ignoring unknown labels:
#> • linetype : "Fleet"
#> • shape : "Fleet"