pacta.loanbook (version 0.1.0)

prep_techmix: Prepare data for plotting technology mix

Description

Prepare data for plotting technology mix

Usage

prep_techmix(
  data,
  convert_label = identity,
  span_5yr = FALSE,
  convert_tech_label = identity
)

Value

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

Arguments

data

A data frame. Requirements:

• The structure must be like market_share.

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

• The column metric must have a portfolio (e.g. "projected"), a benchmark (e.g. "corporate_economy"), and a single scenario (e.g. "target_sds").

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

• (Optional) If present, the column label_tech is used for technology 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_techmix() use convert_label = recode_metric_techmix.

span_5yr

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

convert_tech_label

A symbol. The unquoted name of a function to apply to technology legend labels. For example, to convert labels to uppercase use convert_tech_label = toupper. To get the default behavior of qplot_techmix() use convert_tech_label = spell_out_technology.

See Also

Other plotting functions: plot_emission_intensity(), plot_techmix(), plot_trajectory(), prep_emission_intensity(), prep_trajectory(), 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

# `data` must meet documented "Requirements"
data <- subset(
  market_share,
  scenario_source == "demo_2020" &
    sector == "power" &
    region == "global" &
    metric %in% c("projected", "corporate_economy", "target_sds")
)

prep_techmix(data)