Plot timeseries for indicator — plot_timeseries

Plot timeseries to provide line plots for each scenario present in df with some manipulations. Produce two faceted plots where each facet is an iso3.

Usage

plot_timeseries_indicator(
  df,
  iso3,
  indicator,
  scale = c("free", "fixed", "free_x", "free_y"),
  value_col = "value",
  default_scenario = "default",
  base_scenarios = c(routine = "routine", reference_infilling = "reference_infilling",
    covid_shock = "covid_shock"),
  start_year = 2018
)

Arguments

df: Data frame in long format filtered for a specific country, where 1 row corresponds to a specific year, and indicator.
iso3: vector of ISO3 country codes to plot
indicator: name of indicator to plot
scale: type of scale to be exported, as in facet_wrap
value_col: Column name of column(s) with indicator values, used to calculate contributions.
default_scenario: name of the default scenario.
base_scenarios: (vector) named vector with the names of the base scenarios. For more details see vignette("scenarios", package = "billionaiRe")
start_year: Base year for contribution calculation, defaults to 2018.

Value

a ggplot2 object