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Prepare data for plotting

Source: R/plotting_prep.R
plotting_prep.Rd

Transform burden estimate data from modelling groups to make them suitable for plotting using an appropriate plotting function. Each preparation function corresponds to a plotting function.

Usage

prep_plot_demography(burden)

prep_plot_age(burden)

prep_plot_burden_decades(burden, year_max)

prep_plot_global_burden(burden)

prep_plot_coverage_set(coverage)

prep_plot_fvp(fvp, year_min, year_max)

Arguments

burden

For prep_plot_demography(), a <tibble> output from check_demography_alignment(). For other functions, a burden dataset similar to eg_burden_template.

year_max

The maximum year to be represented in a subsequent figure. For prep_plot_burden_decades(), must be a decade, i.e., multiple of 10.

coverage

WIP. Coverage data.

fvp

WIP. Data on counts of fully vaccinated persons.

year_min

Minimum year.

Value

  • For prep_plot_demography(): a <tibble> in long-format, with the identifier-columns, "scenario", "age", and "year", with the added column "value_millions".

  • For prep_plot_age(): a <tibble> with the columns "scenario", "burden_outcome", "age", "value_millions".

  • For prep_plot_burden_decades(): a <tibble> with the columns "scenario", "burden_outcome", "decade_label", and "value_millions".

  • For prep_plot_global_burden(): a nested <tibble> with the string column "burden_outcome", and a list column of tibbles "burden_data".

  • For prep_plot_coverage_set(): WIP

  • For prep_plot_fvp(): WIP.