Join a data-loanbook object to the abcd and scenario

This function was deprecated because it is not required as a user-facing function for PACTA for Banks. It is still used internally though. All relevant outputs of the PACTA for Banks analysis can be obtained using the target_market_share() and target_sda() functions.

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 both data and abcd. Set to FALSE to add rows of all possible green technologies (with 0 production).

Value

Returns a fully joined data frame, linking portfolio, abcd and scenario.

See also

Other utility functions: summarize_weighted_production()

Examples

library(r2dii.data)
#> 
#> Attaching package: ‘r2dii.data’
#> The following object is masked from ‘package:r2dii.analysis’:
#> 
#>     data_dictionary
library(r2dii.match)
#> 
#> Attaching package: ‘r2dii.match’
#> The following object is masked from ‘package:r2dii.data’:
#> 
#>     data_dictionary
#> The following object is masked from ‘package:r2dii.analysis’:
#> 
#>     data_dictionary

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
  )
#> Warning: `join_abcd_scenario()` was deprecated in r2dii.analysis 0.5.0.
#> # 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>, …