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pacta.loanbook (version 0.1.0)

prep_trajectory: Prepare data for a trajectory plot

Description

Prepare data for a trajectory plot

Usage

prep_trajectory(
  data,
  convert_label = identity,
  span_5yr = FALSE,
  value_col = "percentage_of_initial_production_by_scope"
)

Value

A data-frame ready to be plotted using plot_trajectory().

Arguments

data

A data frame. Requirements:

  • The structure must be like market_share.

  • The following columns must have a single value: sector, technology, region, scenario_source.

  • (Optional) If present, the column label is used for data labels.

convert_label

A symbol. The unquoted name of a function to apply to y-axis labels. For example:

  • To convert labels to uppercase use convert_label = toupper.

  • To get the default behavior of qplot_trajectory() use convert_label = recode_metric_trajectory.

span_5yr

Logical. Use TRUE to restrict the time span to 5 years from the start year (the default behavior of qplot_trajectory()), or use FALSE to impose no restriction.

value_col

Character. Name of the column to be used as a value to be plotted.

See Also

Other plotting functions: plot_emission_intensity(), plot_techmix(), plot_trajectory(), prep_emission_intensity(), prep_techmix(), qplot_emission_intensity(), qplot_techmix(), qplot_trajectory(), recode_metric_techmix(), recode_metric_trajectory(), scale_colour_r2dii(), scale_colour_r2dii_sector(), scale_colour_r2dii_tech(), scale_fill_r2dii(), scale_fill_r2dii_sector(), scale_fill_r2dii_tech(), spell_out_technology(), theme_2dii(), to_title()

Examples

Run this code
# `data` must meet documented "Requirements"
data <- subset(
  market_share,
  sector == "power" &
    technology == "renewablescap" &
    region == "global" &
    scenario_source == "demo_2020"
)

prep_trajectory(data)

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