View source: R/summarize_weighted_production.R
summarize_weighted_production | R Documentation |
Based on on the weight of each loan per sector per year,
summarize_weighted_production()
and summarize_weighted_percent_change()
summarize the production and percent-change, respectively.
summarize_weighted_production(data, ..., use_credit_limit = FALSE) summarize_weighted_percent_change(data, ..., use_credit_limit = FALSE)
data |
A data frame like the output of |
... |
Variables to group by. |
use_credit_limit |
Logical vector of length 1. |
A tibble with the same groups as the input (if any) and columns:
sector
, technology
, and year
; and weighted_production
or
weighted_production
for summarize_weighted_production()
and
summarize_weighted_percent_change()
, respectively.
The percent-change analysis excludes companies with 0 production. percent-change is undefined for companies that have no initial production; including such companies would cause percent-change percentage to be infinite, which is wrong.
join_abcd_scenario()
.
Other utility functions:
join_abcd_scenario()
installed <- requireNamespace("r2dii.data", quietly = TRUE) && requireNamespace("r2dii.match", quietly = TRUE) && packageVersion("r2dii.match") >= "0.1.0" if (installed) { library(r2dii.data) library(r2dii.match) loanbook <- head(loanbook_demo, 150) abcd <- head(abcd_demo, 100) master <- loanbook %>% match_name(abcd) %>% prioritize() %>% join_abcd_scenario( abcd = abcd, scenario = scenario_demo_2020, region_isos = region_isos_demo ) summarize_weighted_production(master) summarize_weighted_production(master, use_credit_limit = TRUE) summarize_weighted_percent_change(master) summarize_weighted_percent_change(master, use_credit_limit = TRUE) }
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