Plot age-length distribution data for a gadget3 model

The dplot functions plot data passed to a gadget3 model instead of data from the model or fit objects.

Usage

dplot_aldist(
  x,
  type = "bar",
  facet_age = FALSE,
  dir = "v",
  color_palette = scales::brewer_pal(palette = "Set1"),
  base_size = 8,
  ...
)

Arguments

x: A gadget3 ready data frame created using mfdb, g3_data or add_g3_attributes.
type: Character specifying the plot type: "bar", "step", or "area". "step" produces a similar plot where age and length distributions are plotted separately as in plot_catchdist. "area" produces an area plot instead of a bar plot, but works poorly when there are many age groups.
facet_age: Logical indicating whether ages should be plotted in separate facets. Does not apply for type = "step".
dir: Character specifying the direction of the facets ("h" for horizontal, "v" for vertical). See facet_wrap. Defaults to "v" unlike in facet_wrap to make it easier to follow length and age groups across years.
color_palette: A function defining the color palette to be used for fill of bars when facet_age = TRUE. See scale_color_manual. To adjust color when facet_age = FALSE, use the standard ggplot2::scale_fill_* functions.
base_size: Base size parameter for ggplot. See ggtheme.
...: Additional arguments passed to facet_wrap.

Value

A ggplot object.

Examples

data(aldist_example)
dplot_aldist(aldist_example)

dplot_aldist(aldist_example, type = "step") # as in plot_catchdist

dplot_aldist(aldist_example, facet_age = TRUE)

dplot_aldist(aldist_example, type = "area") # works poorly