plot_trajectory: Create a trajectory plot

In r2dii.plot: Visualize the Climate Scenario Alignment of a Financial Portfolio

Create a trajectory plot

Description

Create a trajectory plot

Usage

plot_trajectory(
  data,
  span_5yr = FALSE,
  convert_label = identity,
  center_y = FALSE,
  value_col = "percentage_of_initial_production_by_scope",
  perc_y_scale = FALSE
)

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.
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.
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.
center_y	Logical. Use TRUE to center the y-axis around start value (the default behavior of qplot_trajectory()), or use FALSE to not center.
value_col	Character. Name of the column to be used as a value to be plotted.
perc_y_scale	Logical. FALSE defaults to using no label conversion. Use TRUE to convert labels on y-axis to percentage using scales::percent (the default behavior of qplot_trajectory()).

Value

An object of class "ggplot".

See Also

market_share.

Examples

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

plot_trajectory(data)

# plot with `qplot_trajectory()` parameters
plot_trajectory(
  data,
  span_5yr = TRUE,
  convert_label = recode_metric_trajectory,
  center_y = TRUE,
  value_col = "percentage_of_initial_production_by_scope",
  perc_y_scale = TRUE
)

r2dii.plot documentation built on May 31, 2023, 6:46 p.m.