Join a data-loanbook object to the abcd and scenario
Source:R/join_abcd_scenario.R
join_abcd_scenario.Rd
join_abcd_scenario()
is a simple wrapper of several calls to
dplyr::join_*()
, forming the master dataset to be used in later steps of
the analysis.
Usage
join_abcd_scenario(
data,
abcd,
scenario,
region_isos = r2dii.data::region_isos,
add_green_technologies = FALSE
)
Arguments
- data
A data frame like the output of
r2dii.match::prioritize
.- abcd
An asset level data frame like r2dii.data::abcd_demo.
- scenario
A scenario data frame like r2dii.data::scenario_demo_2020.
- region_isos
A data frame like r2dii.data::region_isos (default).
- add_green_technologies
Logical vector of length 1.
FALSE
defaults to outputting only technologies that are present in bothdata
andabcd
. Set toFALSE
to add rows of all possible green technologies (with 0 production).
See also
Other utility functions:
summarize_weighted_production()
Examples
library(r2dii.data)
library(r2dii.match)
valid_matches <- match_name(loanbook_demo, abcd_demo) %>%
# WARNING: Remember to validate matches (see `?prioritize`)
prioritize()
valid_matches %>%
join_abcd_scenario(
abcd = abcd_demo,
scenario = scenario_demo_2020,
region_isos = region_isos_demo
)
#> # A tibble: 14,592 × 37
#> id_loan id_direct_loantaker name_direct_loantaker id_ultimate_parent
#> <chr> <chr> <chr> <chr>
#> 1 L6 C304 Kassulke-Kassulke UP83
#> 2 L6 C304 Kassulke-Kassulke UP83
#> 3 L6 C304 Kassulke-Kassulke UP83
#> 4 L6 C304 Kassulke-Kassulke UP83
#> 5 L6 C304 Kassulke-Kassulke UP83
#> 6 L6 C304 Kassulke-Kassulke UP83
#> 7 L6 C304 Kassulke-Kassulke UP83
#> 8 L6 C304 Kassulke-Kassulke UP83
#> 9 L6 C304 Kassulke-Kassulke UP83
#> 10 L6 C304 Kassulke-Kassulke UP83
#> # ℹ 14,582 more rows
#> # ℹ 33 more variables: name_ultimate_parent <chr>, loan_size_outstanding <dbl>,
#> # loan_size_outstanding_currency <chr>, loan_size_credit_limit <dbl>,
#> # loan_size_credit_limit_currency <chr>, sector_classification_system <chr>,
#> # sector_classification_direct_loantaker <chr>, lei_direct_loantaker <chr>,
#> # isin_direct_loantaker <chr>, id_2dii <chr>, level <chr>, sector <chr>,
#> # sector_abcd <chr>, name <chr>, name_abcd <chr>, score <dbl>, …