Plot of age composition from the model

Usage

plot_agecomp(
  fit,
  type = "bubble",
  scales = "fixed",
  biomass = FALSE,
  base_size = 8,
  return_data = FALSE
)

Arguments

fit: A gadget fit object. See g3_fit.
type: Character specifying the plot type. Options: "bar", "line", "ggridges" or "bubble". See Details.
scales: Character defining the facet_wrap scales argument to use.
biomass: Logical indicating whether biomass should be plotted instead of abundance.
base_size: Base size parameter for ggplot. See ggtheme.
return_data: Logical indicating whether to return data for the plot instead of the plot itself.

Value

A ggplot object.

Details

Possible plot types are:

bar: Facetted bar plot with year on x-axis, abundance on y-axis and ages along rows. Year classes are colored.
line: Facetted line plot with year on x-axis, abundance on y-axis and ages along rows. Stocks are colored.
ggridges: Same as above but the bars are overlapping.
bubble (or any other string): Bubble plot with year on x-axis, age on y-axis and point size scaled to abundance. Year classes are colored.

Note that both "bar" and "bubble" contain extra information as text for plotly::ggplotly.

Examples

data(fit)
plot_agecomp(fit)
#> Warning: Removed 41 rows containing missing values (`geom_point()`).

plot_agecomp(fit, type = "line", biomass = TRUE)

plot_agecomp(fit, type = "bar")

plot_agecomp(fit, type = "ggridges")