Create a techmix plot

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

## 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. 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. 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. 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.

## Value

An object of class "ggplot".

## 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")
)

plot_techmix(data)
#> The technology_share values are plotted for extreme years.
#> Do you want to plot different years? E.g. filter data with:subset(data, year %in% c(2020, 2030)).

# plot with qplot_techmix() parameters
plot_techmix(
data,
span_5yr = TRUE,
convert_label = recode_metric_techmix,
convert_tech_label = spell_out_technology
)
#> The technology_share values are plotted for extreme years.
#> Do you want to plot different years? E.g. filter data with:subset(data, year %in% c(2020, 2030)).