Plot Index of Abundance
plot_indices(
dat,
unit_label = "",
group = NULL,
facet = "fleet",
interactive = TRUE,
module = NULL,
focus = NULL,
make_rda = FALSE,
figures_dir = NULL,
...
)A data frame or names list of data frames (input as `list()`) returned from convert_output. The first data frame in the list is used in calculation of a reference line if one is present
units for index of abundance/CPUE
a string of a single column that groups the data (e.g. "fleet", "sex", "area", etc.). Currently can only have one level of grouping. If you want to just summarize the data across all factors, set group = "none". In the case there is only one unique value of the grouping and/or NA is available, the function will default to the NAs and in some cases the grouping when there is not an equal number of rows for NA and the grouped data.
a string or vector of strings of a column that facets the data (e.g. "year", "area", etc.) "fleet" is always added on to any faceting selections
TRUE/FALSE; indicate whether the environment in which the function is operating is interactive. This bypasses some options for filtering when preparing data for the plot. Default is FALSE.
(Optional) A string indicating the linked module_name associated with the label for the plot if known. Default is NULL. By default, the function will select the most relevant module if more than 1 exists.
a string or vector of strings indicating how data should be filtered. (i.e. select names of fleets to zoom into the plot)
TRUE/FALSE; indicate whether to produce an .rda file containing a list with the figure/table, caption, and alternative text (if figure). If TRUE, the rda will be exported to the folder indicated in the argument "figures_dir". Default is FALSE.
The location of the folder containing the generated figure rda files ("figures") that will be created if the argument `make_rda` = TRUE. Default is the working directory.
Arguments called from ggplot2::geom_line or ggplot2::geom_point
Plot the expected and predicted indices as indicated from a standard assessment model output file.
plot_indices(
dat = stockplotr:::example_data,
unit_label = "fish/hr",
interactive= FALSE
)
#> Scale for x is already present.
#> Adding another scale for x, which will replace the existing scale.
#> Ignoring unknown labels:
#> • shape : "Label"