prepare_for_timelineA: Prepares sda_target-type data for timeline plot

In 2DegreesInvesting/r2dii.plot.static: Create Standard Static '2dii' Plots

Description

Prepares sda_target-type data for timeline plot

Usage

prepare_for_timelineA(
  sda_target_data,
  sector_filter = c("automotive", "aviation", "cement", "oil and gas", "shipping",
    "steel", "power"),
  year_start = 0,
  year_end = Inf,
  column_line_names = "emission_factor_metric",
  value_to_plot = "emission_factor_value",
  extrapolate_missing_values = FALSE
)

prepare_for_timelineB(data, extrapolate = FALSE)

Arguments

sector_filter	Sector to be used for filtering (character string of length 1). One of automotive, aviation, cement, oil and gas, shipping, steel, power)“'.
year_start	Start year of the plot (double).
year_end	End year of the plot (double).
column_line_names	Column specifying the names of lines to be plotted (character string).
value_to_plot	Column name of the value to be plotted (character string).
data, sda_target_data	Dataframe with columns sector, year and two other columns specifying value to be be plotted as timelines and line names (dataframe).
extrapolate, extrapolate_missing_values	Flag indicating if values should be extrapolated to match the furthest value in the data set.

Value

Dataframe with columns: year, line_name, value, extrapolated.

Examples

# prepare_for_timelineA() --------------------------------------------------

data <- sda_target
prepare_for_timelineA(
  data,
  sector_filter = "cement",
  year_start = 2020,
  year_end = 2050, column_line_names = "emission_factor_metric",
  value_to_plot = "emission_factor_value",
  extrapolate_missing_values = TRUE
)

# prepare_for_timelineA() --------------------------------------------------

data <- sda_target
tail(prepare_for_timelineB(data))
tail(prepare_for_timelineB(data, extrapolate = TRUE))

2DegreesInvesting/r2dii.plot.static documentation built on Dec. 17, 2021, 6:37 a.m.