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Merge pull request #37 from johanneskoch94/main
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Bug fix
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johanneskoch94 authored Oct 10, 2024
2 parents dd9cc70 + fdf6600 commit f797dc5
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2 changes: 1 addition & 1 deletion .buildlibrary
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
ValidationKey: '2198460'
ValidationKey: '2400720'
AutocreateReadme: no
AcceptedWarnings:
- 'Warning: package ''.*'' was built under R version'
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4 changes: 2 additions & 2 deletions CITATION.cff
Original file line number Diff line number Diff line change
Expand Up @@ -2,8 +2,8 @@ cff-version: 1.2.0
message: If you use this software, please cite it using the metadata from this file.
type: software
title: 'GDPuc: Easily Convert GDP Data'
version: 1.1.0
date-released: '2024-09-20'
version: 1.2.0
date-released: '2024-10-10'
abstract: Convert GDP time series data from one unit to another. All common GDP units
are included, i.e. current and constant local currency units, US$ via market exchange
rates and international dollars via purchasing power parities.
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4 changes: 2 additions & 2 deletions DESCRIPTION
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
Package: GDPuc
Title: Easily Convert GDP Data
Version: 1.1.0
Date: 2024-09-20
Version: 1.2.0
Date: 2024-10-10
Authors@R:
person("Johannes", "Koch", , "jokoch@pik-potsdam.de", role = c("aut", "cre"))
Description: Convert GDP time series data from one unit to
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75 changes: 61 additions & 14 deletions R/adapt_source.R
Original file line number Diff line number Diff line change
@@ -1,18 +1,10 @@
adapt_source_USA <- function(gdp, source, replace_NAs) {
source_USA <- source %>%
adapt_source_USA <- function(gdp, source) {
# Filter for USA, and then complete source for all countries with the unique pairs of all columns in source,
# excluding iso3c.
source %>%
dplyr::filter(.data$iso3c == "USA") %>%
dplyr::select("year", "USA_deflator" = "GDP deflator")

source_adapted <- source %>%
dplyr::left_join(source_USA, by = dplyr::join_by("year")) %>%
dplyr::mutate("GDP deflator" = .data$USA_deflator)

if (!is.null(replace_NAs) && replace_NAs[1] == "with_USA") {
source_USA <- source %>% dplyr::filter(.data$iso3c == "USA")
source_adapted <- purrr::map(unique(gdp$iso3c), ~dplyr::mutate(source_USA, "iso3c" = .x)) %>%
purrr::list_rbind()
}
source_adapted
tidyr::complete(iso3c = unique(gdp$iso3c),
tidyr::nesting(!!!(rlang::syms(colnames(source)[-1]))))
}

#
Expand Down Expand Up @@ -99,6 +91,61 @@ adapt_source <- function(gdp, source, with_regions, replace_NAs, require_year_co
dplyr::ungroup()
}

if ("with_USA" %in% replace_NAs) {
USA_def_growth <- source %>%
dplyr::filter(.data$iso3c == "USA") %>%
dplyr::select("year", "gd" = "GDP deflator") %>%
dplyr::mutate("gd" = .data$gd / dplyr::lag(.data$gd))

source_adapted <- source_adapted %>%
dplyr::filter(.data$iso3c %in% unique(gdp$iso3c)) %>%
# Fill in the MER and PPPs with the growth rates from the USA (= 1)
dplyr::group_by(.data$iso3c) %>%
tidyr::fill(c("MER (LCU per US$)",
"PPP conversion factor, GDP (LCU per international $)"),
.direction = "downup") %>%
dplyr::ungroup() %>%
# For the deflator, we need to multiply the bordering values with the actual USA growth
dplyr::left_join(USA_def_growth, by = dplyr::join_by("year")) %>%
# Forward
dplyr::mutate(
`GDP deflator` = purrr::accumulate(
dplyr::row_number(),
~ dplyr::coalesce(.data$`GDP deflator`[.y], .x * .data$gd[.y]),
.init = NA
)[-1],
.by = c("iso3c")
) %>%
# Backward
dplyr::arrange(-.data$year) %>%
dplyr::mutate(
`GDP deflator` = purrr::accumulate(
dplyr::row_number(),
~ dplyr::coalesce(.data$`GDP deflator`[.y], .x / .data$gd[.y]),
.init = NA
)[-1],
.by = c("iso3c")
) %>%
dplyr::arrange(.data$iso3c, .data$year) %>%
dplyr::select(-"gd")

# If there is no data whatsoever for the country, use US values
ec <- dplyr::group_by(source_adapted, .data$iso3c) %>%
dplyr::filter(all(is.na(.data$`GDP deflator`))) %>%
dplyr::pull("iso3c") %>%
unique()

source_ec <- source %>%
dplyr::filter(.data$iso3c == "USA") %>%
tidyr::complete(iso3c = ec,
tidyr::nesting(!!!(rlang::syms(colnames(source)[-1])))) %>%
dplyr::filter(.data$iso3c %in% ec)

source_adapted <- source_adapted %>%
dplyr::filter(!.data$iso3c %in% ec) %>%
dplyr::bind_rows(source_ec)
}

source_adapted
}

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13 changes: 5 additions & 8 deletions R/check_user_input.R
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@ check_user_input <- function(gdp,
unit_in,
unit_out,
source,
use_USA_deflator_for_all,
use_USA_cf_for_all,
with_regions,
replace_NAs,
verbose,
Expand All @@ -15,7 +15,7 @@ check_user_input <- function(gdp,
check_gdp(gdp)
check_unit_in_out(unit_in, unit_out)
source <- check_source(source)
check_use_USA_deflator_for_all(use_USA_deflator_for_all, unit_in, unit_out)
check_use_USA_cf_for_all(use_USA_cf_for_all, unit_in, unit_out)
check_with_regions(unit_in, unit_out, source, with_regions)
check_replace_NAs(with_regions, replace_NAs)
check_verbose(verbose)
Expand Down Expand Up @@ -97,12 +97,9 @@ check_source <- function(source) {
}

# Check input parameter 'verbose'
check_use_USA_deflator_for_all <- function(use_USA_deflator_for_all, unit_in, unit_out) {
if (!is.logical(use_USA_deflator_for_all)) {
abort("Invalid 'use_USA_deflator_for_all' argument. Has to be either TRUE or FALSE.")
}
if (use_USA_deflator_for_all && any(grepl("current", c(unit_in, unit_out)))) {
abort("Setting 'use_USA_deflator_for_all' to TRUE should only be applied between conversion of constant units.")
check_use_USA_cf_for_all <- function(use_USA_cf_for_all, unit_in, unit_out) {
if (!is.logical(use_USA_cf_for_all)) {
abort("Invalid 'use_USA_cf_for_all' argument. Has to be either TRUE or FALSE.")
}
}

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13 changes: 6 additions & 7 deletions R/convertGDP.R
Original file line number Diff line number Diff line change
Expand Up @@ -57,9 +57,8 @@
#' a data-frame that exists in the calling environment.
#' Use [print_source_info()](https://pik-piam.github.io/GDPuc/reference/print_source_info.html)
#' to learn about the available sources.
#' @param use_USA_deflator_for_all TRUE or FALSE (default). If TRUE, then only the USA deflator is used to adjust for
#' inflation, regardless of the country codes provided. This is a very specific deviation from the correct conversion
#' process, which nevertheless is often used in the integrated assessment community. Use carefully!
#' @param use_USA_cf_for_all TRUE or FALSE (default). If TRUE, then the USA conversion factors are used for all
#' countries.
#' @param with_regions NULL or a data-frame. The data-frame should be "country to region
#' mapping": one column named "iso3c" with iso3c country codes, and one column named
#' "region" with region codes to which the countries belong. Any regions in the gdp
Expand All @@ -76,8 +75,8 @@
#' \item "regional_average": missing conversion factors in the source object are replaced with
#' the regional average of the region to which the country belongs. This requires a region-mapping to
#' be passed to the function, see the with_regions argument.
#' \item "with_USA": missing conversion factors in the source object are replaced with
#' the conversion factors of the USA.
#' \item "with_USA": missing conversion factors in the source object are extended using US growth rates, or
#' if missing entirely, replaced with the conversion factors of the USA.
#' }
#' Can also be a vector with "linear" as first element, e.g. c("linear", 0) or c("linear", "no_conversion"),
#' in which case, the operations are done in sequence.
Expand All @@ -104,7 +103,7 @@ convertGDP <- function(gdp,
unit_in,
unit_out,
source = "wb_wdi",
use_USA_deflator_for_all = FALSE,
use_USA_cf_for_all = FALSE,
with_regions = NULL,
replace_NAs = NULL,
verbose = getOption("GDPuc.verbose", default = FALSE),
Expand All @@ -125,7 +124,7 @@ convertGDP <- function(gdp,
}

# Transform user input for internal use, while performing some last consistency checks
internal <- transform_user_input(gdp, unit_in, unit_out, source, use_USA_deflator_for_all, with_regions, replace_NAs)
internal <- transform_user_input(gdp, unit_in, unit_out, source, use_USA_cf_for_all, with_regions, replace_NAs)

# Avoid NOTE in package check for CRAN
. <- NULL
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12 changes: 5 additions & 7 deletions R/transform_user_input.R
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
# Transform user input for package internal use
transform_user_input <- function(gdp, unit_in, unit_out, source, use_USA_deflator_for_all, with_regions, replace_NAs) {
transform_user_input <- function(gdp, unit_in, unit_out, source, use_USA_cf_for_all, with_regions, replace_NAs) {
. <- NULL

# Convert to tibble, if necessary
Expand Down Expand Up @@ -75,13 +75,11 @@ transform_user_input <- function(gdp, unit_in, unit_out, source, use_USA_deflato
abort("Incompatible 'gdp' and 'source'. No information in source {crayon::bold(source_name)} for years in 'gdp'.")
}

# Use different source if required by the replace_NAs argument
if (use_USA_deflator_for_all ||
# Use different source if required by the use_USA_cf_for_all and replace_NAs argument
if (use_USA_cf_for_all) source <- adapt_source_USA(gdp, source)
if (!use_USA_cf_for_all &&
(!is.null(replace_NAs) && !any(sapply(c(NA, 0, "no_conversion"), setequal, replace_NAs))) ) {
if (use_USA_deflator_for_all || replace_NAs[1] == "with_USA") source <- adapt_source_USA(gdp, source, replace_NAs)
if (!is.null(replace_NAs) && !any(sapply(c(NA, 0, "no_conversion", "with_USA"), setequal, replace_NAs))){
source <- adapt_source(gdp, source, with_regions, replace_NAs, require_year_column)
}
source <- adapt_source(gdp, source, with_regions, replace_NAs, require_year_column)
source_name <- paste0(source_name, "_adapted")
}

Expand Down
11 changes: 5 additions & 6 deletions man/convertGDP.Rd

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42 changes: 11 additions & 31 deletions tests/testthat/test-01_check_user_input.R
Original file line number Diff line number Diff line change
Expand Up @@ -50,23 +50,23 @@ test_that("with_regions argument", {
unit_in,
unit_out,
source = s,
use_USA_deflator_for_all = FALSE,
use_USA_cf_for_all = FALSE,
with_regions = "blabla"))

with_regions <- tibble::tibble("blabla" = "FRA", "region" = "USA")
expect_error(check_user_input(gdp,
unit_in,
unit_out,
source = s,
use_USA_deflator_for_all = FALSE,
use_USA_cf_for_all = FALSE,
with_regions = with_regions))

with_regions <- tibble::tibble("iso3c" = "FRA", "region" = "USA")
expect_error(check_user_input(gdp,
unit_in,
"current LCU",
source = s,
use_USA_deflator_for_all = FALSE,
use_USA_cf_for_all = FALSE,
with_regions = with_regions))

my_bad_source <- wb_wdi %>% dplyr::select(
Expand All @@ -81,7 +81,7 @@ test_that("with_regions argument", {
unit_in,
unit_out,
source = s,
use_USA_deflator_for_all = FALSE,
use_USA_cf_for_all = FALSE,
with_regions = with_regions))
})

Expand All @@ -96,7 +96,7 @@ test_that("replace_NAs argument", {
unit_in,
unit_out,
source = s,
use_USA_deflator_for_all = FALSE,
use_USA_cf_for_all = FALSE,
replace_NAs = 2,
with_regions = NULL),
glue::glue("Invalid 'replace_NAs' argument. Has to be either NULL, NA, 0, 1, no_conversion, linear, \\
Expand All @@ -105,7 +105,7 @@ test_that("replace_NAs argument", {
unit_in,
unit_out,
source = s,
use_USA_deflator_for_all = FALSE,
use_USA_cf_for_all = FALSE,
replace_NAs = c(0, 1),
with_regions = NULL),
glue::glue("Invalid 'replace_NAs' argument. The only accepted combinations of arguments start with \\
Expand All @@ -115,7 +115,7 @@ test_that("replace_NAs argument", {
unit_in,
unit_out,
source = s,
use_USA_deflator_for_all = FALSE,
use_USA_cf_for_all = FALSE,
replace_NAs = "linear_regional_average",
with_regions = NULL)
)
Expand All @@ -125,7 +125,7 @@ test_that("replace_NAs argument", {
unit_in,
unit_out,
source = s,
use_USA_deflator_for_all = FALSE,
use_USA_cf_for_all = FALSE,
replace_NAs = "regional_average",
with_regions = NULL),
glue::glue("Using 'regional_average' requires a region mapping. The 'with_regions' argument can't be NULL.")
Expand All @@ -143,7 +143,7 @@ test_that("boolean arguments", {
unit_in,
unit_out,
source = s,
use_USA_deflator_for_all = FALSE,
use_USA_cf_for_all = FALSE,
with_regions = NULL,
replace_NAs = NULL,
verbose = "blabla"))
Expand All @@ -153,7 +153,7 @@ test_that("boolean arguments", {
unit_in,
unit_out,
source = s,
use_USA_deflator_for_all = FALSE,
use_USA_cf_for_all = FALSE,
with_regions = NULL,
replace_NAs = NULL,
verbose = TRUE,
Expand All @@ -164,27 +164,7 @@ test_that("boolean arguments", {
unit_in,
unit_out,
source = s,
use_USA_deflator_for_all = "blabla",
with_regions = NULL,
replace_NAs = NULL,
verbose = TRUE,
return_cfs = TRUE))
})


test_that("boolean arguments", {

gdp <- tibble::tibble("iso3c" = "EUR", "year" = 2010, "value" = 100)
unit_in <- "current Int$PPP"
unit_out <- "constant 2010 US$MER"
s <- wb_wdi

expect_error(check_user_input(
gdp,
unit_in,
unit_out,
source = s,
use_USA_deflator_for_all = TRUE,
use_USA_cf_for_all = "blabla",
with_regions = NULL,
replace_NAs = NULL,
verbose = TRUE,
Expand Down
8 changes: 4 additions & 4 deletions tests/testthat/test-02_transform_user_input.R
Original file line number Diff line number Diff line change
Expand Up @@ -5,14 +5,14 @@ test_that("source and unit year compatibility", {
unit_in = "constant 2010 LCU",
unit_out = "constant 2100 LCU",
source = "wb_wdi",
use_USA_deflator_for_all = FALSE,
use_USA_cf_for_all = FALSE,
with_regions = NULL,
replace_NAs = NULL))
expect_error(transform_user_input(gdp,
unit_in = "constant 2100 LCU",
unit_out = "constant 2010 LCU",
source = "wb_wdi",
use_USA_deflator_for_all = FALSE,
use_USA_cf_for_all = FALSE,
with_regions = NULL,
replace_NAs = NULL))

Expand All @@ -26,7 +26,7 @@ test_that("unit and year availability compatibility", {
unit_in = "current LCU",
unit_out = "constant 2010 LCU",
source = "wb_wdi",
use_USA_deflator_for_all = FALSE,
use_USA_cf_for_all = FALSE,
with_regions = NULL,
replace_NAs = NULL),
glue::glue("Invalid 'gdp' argument. 'gdp' does not have a 'year' column, required when \\
Expand All @@ -35,7 +35,7 @@ test_that("unit and year availability compatibility", {
unit_in = "current LCU",
unit_out = "constant 2010 LCU",
source = "wb_wdi",
use_USA_deflator_for_all = FALSE,
use_USA_cf_for_all = FALSE,
with_regions = NULL,
replace_NAs = NULL),
glue::glue("Invalid 'gdp' argument. 'gdp' does not have a 'year' column, required when \\
Expand Down
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