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Get Data Fitted to Plot

get_data_fitted_plot.Rd

Produces a dot-plot showing which data types were fitted to in each year, region, and model. Each point represents a year in which a given data source was active (i.e. the corresponding Use* indicator equals 1). This is useful for quickly auditing data availability and comparing data structures across model configurations.

Usage

get_data_fitted_plot(data, model_names)

Arguments

data

List of length n_models, where each element is a SPoRC data list. Pooled Use* indicator arrays are extracted with dimensions [n_regions × n_years × n_seas × n_fleets]: UseSrvLenComps, UseSrvAgeComps, UseFishLenComps, UseFishAgeComps, UseCatch, UseFishIdx, UseSrvIdx. Population-specific Use*_pop indicator arrays with dimensions [n_pop × n_regions × n_years × n_seas × n_fleets] are included when any element equals 1: UseFishAgeComps_pop, UseFishLenComps_pop, UseFishIdx_pop, UseSrvAgeComps_pop, UseSrvLenComps_pop, UseSrvIdx_pop. If use_conv_fish_tagging contains any 1s, conv_tag_release_indicator is also used to construct a tagging activity indicator array.

model_names

Character vector of length n_models giving display names for each model run. Used as row facet labels.

Value

A single ggplot object: a dot-plot with Year on the x-axis and data type (labelled by source, population where applicable, season, and fleet) on the y-axis, faceted by Model × Region. Points appear only in years where the corresponding Use* indicator is 1. The legend is suppressed; data types are distinguished by y-axis position and fill colour.

See also

Other Plotting: get_biological_plot(), get_selex_plot(), get_ts_plot(), plot_all_basic(), theme_sablefish()

Examples

if (FALSE) { # \dontrun{
  get_data_fitted_plot(
    data        = list(data1, data2),
    model_names = c("Base", "Sensitivity")
  )
} # }