tests/testthat/_snaps/qplot_trajectory.md

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

if data is not a data frame errors gracefully

is.data.frame(data) is not TRUE

if data is not market_share-like errors gracefully

`data` must have all the expected names.
x Missing names: metric, percentage_of_initial_production_by_scope, scope, technology.
i Is your data `market_share`-like?
Caused by error in `abort_if_missing_names()`:
! `data` must have all the expected names.
x Missing names: metric, percentage_of_initial_production_by_scope, scope, technology.

with zero-row data errors gracefully

`zero_row` must have some rows.
x `zero_row` has zero rows.

with too many sectors errors gracefully

`bad_sector` must have a single value of `sector`.
i Do you need to pick one value? E.g. pick 'a' with: `subset(bad_sector, sector == 'a')`.
x Provided: a, b.

with too many technologies errors gracefully

`bad_tech` must have a single value of `technology`.
i Do you need to pick one value? E.g. pick 'a' with: `subset(bad_tech, technology == 'a')`.
x Provided: a, b.

with too many regions errors gracefully

`bad_region` must have a single value of `region`.
i Do you need to pick one value? E.g. pick 'a' with: `subset(bad_region, region == 'a')`.
x Provided: a, b.

with too many scenario_source errors gracefully

`bad_scenario_source` must have a single value of `scenario_source`.
i Do you need to pick one value? E.g. pick 'a' with: `subset(bad_scenario_source, scenario_source == 'a')`.
x Provided: a, b.

with too many scenarios errors gracefully

`metric` must have between 1 and 4 scenarios.
x Provided 8 scenarios: target_cps, target_sds, target_sps, target_a, target_b, target_c, target_d, target_e

with too many metrics errors gracefully

The number of lines to plot must be 5 or less.
i Do you need to split the data over multiple plots?
x Found 8 lines: a, b, c, corporate_economy, d, e, f, projected.

Wraps the title as expected

Production Trajectory of Electric Technology
in the Automotive Sector

Wraps the subtitle as expected

The coloured areas indicate trajectories in reference to a scenario.
The red area indicates trajectories not aligned with any sustainable scenario.

Prints axis labels as expected

[1] "Year"

Change in production relative to the total
initial production of Automotive sector (%)

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