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Plot factorial sensitivity of fit to each growth parameter

plot_growth_factorial_sensitivity.Rd

For every species and parameter, shows how the shape error varies as that parameter moves below or above its calibrated value, marginalizing over the others. A parameter whose boxes separate cleanly is one the fit is sensitive to; a parameter whose boxes overlap is one the reference data cannot constrain.

Usage

plot_growth_factorial_sensitivity(scores, current)

Arguments

scores

A tibble from the growth_factorial_scores target.

current

A tibble of the parameters currently in use, with species and the parameter columns.

Value

A ggplot.

Details

Only the SWEPT parameters appear, and which those are is read from scores rather than assumed. biomass_max is pinned across the factorial and recovered arithmetically, so it has no sensitivity to show; a shape parameter the design fixes to one value per species has none either, and drawing it would be actively misleading. Such a parameter has no "calibrated" box at all – every cell sits on one side of the in-use value – so the panel would show a lone box under "lower" or "higher" and invite the reader to interpret the side as a result, when it only restates which value was assigned.

Candidates are shown by their position RELATIVE to the calibrated value rather than by their absolute value: the candidates differ per species, so an absolute axis would have to carry every species' values in every panel.

See also

Other growth calibration helpers: extract_landscape_cohort_structures(), growth_add_objective(), growth_auto_window(), growth_best_candidates(), growth_bin_observations(), growth_calibration_design(), growth_calibration_partition(), growth_calibration_work_root(), growth_climatic_distance(), growth_climatic_weight(), growth_expand_over_pseudo_species(), growth_factorial_ratio_grid(), growth_fitting_windows(), growth_identifiability(), growth_inflation_factor(), growth_mortality_onset_frac(), growth_plot_palette(), growth_pseudo_species_name(), growth_reference_curves(), growth_reference_inflection(), growth_score_fit(), growth_scoring_for(), growth_smooth_observations(), growth_structure_cell_curves(), growth_structure_cohort_table(), growth_structure_design(), growth_structure_summary(), growth_window_for(), plot_growth_calibration(), plot_growth_candidate(), plot_growth_structures(), read_growth_scoring(), read_landscape_cohort_structures(), scale_linetype_growth_reference(), write_growth_review_bundle()