tests/testthat/test-graph_functions.R
In MatthewHeun/SEAPSUTWorkflow: Functions and Workflows for Primary-Final-Useful Societal Exergy Analysis Within the PSUT Framework
###########################################################
context("Graph Functions")
###########################################################
# This tests the function alloc_graph()
test_that("alloc_graph() works", {
# Make a simple data frame with the expected structure.
g <- tibble::tribble(~Year, ~.values, ~Machine, ~Eu.product,
1967, 0.5, "Cars", "MD",
1967, 0.5, "Industry static engines", "MD",
2020, 0.8, "Cars", "MD",
2020, 0.2, "Industry static engines", "MD") %>%
alloc_graph(country = "Example", ef_product = "Petrol", destination = "Transport")
expect_true(!is.null(g))
expect_true(inherits(g, "ggplot"))
})
test_that("alloc_plots_df() works as expected", {
alloc_table <- alloc_table <- tibble::tribble(~Country, ~Method, ~Energy.type, ~Year, ~Ef.product, ~Destination,
~.values, ~Machine, ~Quantity, ~Eu.product, ~C.source,
"GHA", "PCM", "E", 1971, "Gasoline", "Transport",
0.5, "Cars", "C_1 [%]", "MD", "World",
"GHA", "PCM", "E", 1971, "Gasoline", "Transport",
0.5, "Trucks", "C_2 [%]", "MD", "World",
"GHA", "PCM", "E", 2020, "Gasoline", "Transport",
0.2, "Cars", "C_1 [%]", "MD", "World",
"GHA", "PCM", "E", 2020, "Gasoline", "Transport",
0.8, "Trucks", "C_2 [%]", "MD", "World",
"ZAF", "PCM", "E", 1971, "Gasoline", "Transport",
0.5, "Cars", "C_1 [%]", "MD", "World",
"ZAF", "PCM", "E", 1971, "Gasoline", "Transport",
0.5, "Trucks", "C_2 [%]", "MD", "World",
"ZAF", "PCM", "E", 2020, "Gasoline", "Transport",
0.3, "Cars", "C_1 [%]", "MD", "World",
"ZAF", "PCM", "E", 2020, "Gasoline", "Transport",
0.7, "Trucks", "C_2 [%]", "MD", "World")
plots_df <- alloc_plots_df(alloc_table, countries = c("GHA", "ZAF"))
expect_true(!is.null(plots_df))
expect_true(inherits(plots_df$Plots[[1]], "ggplot"))
expect_true(inherits(plots_df$Plots[[2]], "ggplot"))
})
#####################################################################################################################
# This tests the function nonstat_alloc_graph()
test_that("nonstat_alloc_graph() works", {
# Make a simple data frame with the expected structure.
i <- tibble::tribble(~Year, ~.values, ~Machine, ~Eu.product,
1967, 0.5, "Cars", "MD",
1967, 0.5, "Industry static engines", "MD",
2020, 0.8, "Cars", "MD",
2020, 0.2, "Industry static engines", "MD") %>%
nonstat_alloc_graph(country = "Example", ef_product = "Petrol", destination = "Transport")
expect_true(!is.null(i))
expect_true(inherits(i, "ggplot"))
})
test_that("nonstat_alloc_plots_df() works as expected", {
non_stat_alloc_table <- tibble::tribble(~Country, ~Method, ~Energy.type, ~Year, ~Ef.product, ~Destination,
~.values, ~Machine, ~Quantity, ~Eu.product, ~C.source,
# Non-stationary data
"GHA", "PCM", "E", 1971, "Gasoline", "Transport",
0.5, "Cars", "C_1 [%]", "MD", "World",
"GHA", "PCM", "E", 1971, "Gasoline", "Transport",
0.5, "Trucks", "C_2 [%]", "MD", "World",
"GHA", "PCM", "E", 2009, "Gasoline", "Transport",
0.2, "Cars", "C_1 [%]", "MD", "World",
"GHA", "PCM", "E", 2009, "Gasoline", "Transport",
0.8, "Trucks", "C_2 [%]", "MD", "World",
"ZAF", "PCM", "E", 1971, "Gasoline", "Transport",
0.5, "Cars", "C_1 [%]", "MD", "World",
"ZAF", "PCM", "E", 1971, "Gasoline", "Transport",
0.5, "Trucks", "C_2 [%]", "MD", "World",
"ZAF", "PCM", "E", 2009, "Gasoline", "Transport",
0.3, "Cars", "C_1 [%]", "MD", "World",
"ZAF", "PCM", "E", 2009, "Gasoline", "Transport",
0.7, "Trucks", "C_2 [%]", "MD", "World",
# Stationary data (should be excluded by nonstat_alloc_plots_df())
"GHA", "PCM", "E", 1971, "Diesel", "Transport",
0.5, "Cars", "C_1 [%]", "MD", "World",
"GHA", "PCM", "E", 1971, "Diesel", "Transport",
0.5, "Trucks", "C_2 [%]", "MD", "World",
"GHA", "PCM", "E", 2009, "Diesel", "Transport",
0.5, "Cars", "C_1 [%]", "MD", "World",
"GHA", "PCM", "E", 2009, "Diesel", "Transport",
0.5, "Trucks", "C_2 [%]", "MD", "World",
"ZAF", "PCM", "E", 1971, "Diesel", "Transport",
0.3, "Cars", "C_1 [%]", "MD", "World",
"ZAF", "PCM", "E", 1971, "Diesel", "Transport",
0.7, "Trucks", "C_2 [%]", "MD", "World",
"ZAF", "PCM", "E", 2009, "Diesel", "Transport",
0.3, "Cars", "C_1 [%]", "MD", "World",
"ZAF", "PCM", "E", 2009, "Diesel", "Transport",
0.7, "Trucks", "C_2 [%]", "MD", "World",
# Stationary data with different 2015 and 2020 c_source (ESP).
# Should be excluded by nonstat_alloc_plots_df() as .values are static
# even though they are different to .values in 1971 and 2009 with
# c_source = World
"GHA", "PCM", "E", 1971, "LPG", "Transport",
0.5, "Cars", "C_1 [%]", "MD", "World",
"GHA", "PCM", "E", 1971, "LPG", "Transport",
0.5, "Trucks", "C_2 [%]", "MD", "World",
"GHA", "PCM", "E", 2009, "LPG", "Transport",
0.5, "Cars", "C_1 [%]", "MD", "World",
"GHA", "PCM", "E", 2009, "LPG", "Transport",
0.5, "Trucks", "C_2 [%]", "MD", "World",
"GHA", "PCM", "E", 2015, "LPG", "Transport",
0.4, "Cars", "C_1 [%]", "MD", "ESP",
"GHA", "PCM", "E", 2015, "LPG", "Transport",
0.6, "Trucks", "C_2 [%]", "MD", "ESP",
"GHA", "PCM", "E", 2020, "LPG", "Transport",
0.4, "Cars", "C_1 [%]", "MD", "ESP",
"GHA", "PCM", "E", 2020, "LPG", "Transport",
0.6, "Trucks", "C_2 [%]", "MD", "ESP",
"ZAF", "PCM", "E", 1971, "LPG", "Transport",
0.3, "Cars", "C_1 [%]", "MD", "World",
"ZAF", "PCM", "E", 1971, "LPG", "Transport",
0.7, "Trucks", "C_2 [%]", "MD", "World",
"ZAF", "PCM", "E", 2009, "LPG", "Transport",
0.3, "Cars", "C_1 [%]", "MD", "World",
"ZAF", "PCM", "E", 2009, "LPG", "Transport",
0.7, "Trucks", "C_2 [%]", "MD", "World",
"ZAF", "PCM", "E", 1971, "LPG", "Transport",
0.2, "Cars", "C_1 [%]", "MD", "ESP",
"ZAF", "PCM", "E", 1971, "LPG", "Transport",
0.8, "Trucks", "C_2 [%]", "MD", "ESP",
"ZAF", "PCM", "E", 2009, "LPG", "Transport",
0.2, "Cars", "C_1 [%]", "MD", "ESP",
"ZAF", "PCM", "E", 2009, "LPG", "Transport",
0.8, "Trucks", "C_2 [%]", "MD", "ESP"
)
plots_df <- nonstat_alloc_plots_df(non_stat_alloc_table, countries = c("GHA", "ZAF"))
expect_true(!is.null(plots_df))
expect_true(unique(plots_df$Ef.product) == "Gasoline")
expect_true(inherits(plots_df$Plots[[1]], "ggplot"))
expect_true(inherits(plots_df$Plots[[2]], "ggplot"))
})
###########################################################################################################
# This tests the function eta_fu_graph()
test_that("eta_fu_graph() works", {
# Make a simple data frame with the expected structure.
h <- tibble::tribble(~Country, ~Year, ~Quantity, ~.values, ~Machine, ~Eu.product,
"ESP", 1967, "eta.fu", 0.5, "Cars", "MD",
"MEX", 1967, "eta.fu", 0.6, "Cars", "MD",
"ESP", 2009, "eta.fu", 0.7, "Cars", "MD",
"MEX", 2009, "eta.fu", 0.8, "Cars", "MD",
"ESP", 1967, "phi.u", 0.5, "Cars", "MD",
"MEX", 1967, "phi.u", 0.6, "Cars", "MD",
"ESP", 2009, "phi.u", 0.7, "Cars", "MD",
"MEX", 2009, "phi.u", 0.8, "Cars", "MD") %>%
eta_fu_graph(countries = c("ESP", "MEX"))
expect_true(!is.null(h))
expect_true(inherits(h, "ggplot"))
bad_df <- tibble::tribble(~Country, ~Year, ~Quantity, ~.values, ~Machine, ~Eu.product,
"ESP", 1967, "eta.fu", 0.5, "Cars", "MD",
"MEX", 1967, "eta.fu", 0.6, "Cars", "MD",
"ESP", 2009, "eta.fu", 0.7, "Cars", "MD",
"MEX", 2009, "eta.fu", 0.8, "Trucks", "MD",
"ESP", 1967, "phi.u", 1.0, "Cars", "MD",
"MEX", 1967, "phi.u", 1.0, "Cars", "MD",
"ESP", 2009, "phi.u", 1.0, "Cars", "MD",
"MEX", 2009, "phi.u", 1.0, "Trucks", "MD")
expect_error(eta_fu_graph(bad_df, countries = c("ESP", "MEX")), regexp = "Found more than 1 machine in eta_fu_graph()")
})
test_that("eta_fu_plots_df() works as expected", {
eta_fu_table <- tibble::tribble(~Country, ~Year, ~Quantity, ~.values, ~Machine, ~Eu.product,
"ESP", 1971, "eta.fu", 0.4, "Cars", "MD",
"ESP", 1971, "eta.fu", 0.5, "Trucks", "MD",
"ESP", 2009, "eta.fu", 0.6, "Cars", "MD",
"ESP", 2009, "eta.fu", 0.7, "Trucks", "MD",
"ESP", 1971, "phi.u", 1.0, "Cars", "MD",
"ESP", 1971, "phi.u", 1.0, "Trucks", "MD",
"ESP", 2009, "phi.u", 1.0, "Cars", "MD",
"ESP", 2009, "phi.u", 1.0, "Trucks", "MD",
"MEX", 1971, "eta.fu", 0.3, "Cars", "MD",
"MEX", 1971, "eta.fu", 0.4, "Trucks", "MD",
"MEX", 2009, "eta.fu", 0.4, "Cars", "MD",
"MEX", 2009, "eta.fu", 0.5, "Trucks", "MD",
"MEX", 1971, "phi.u", 1.0, "Cars", "MD",
"MEX", 1971, "phi.u", 1.0, "Trucks", "MD",
"MEX", 2009, "phi.u", 1.0, "Cars", "MD",
"MEX", 2009, "phi.u", 1.0, "Trucks", "MD",
"ESP", 1971, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"ESP", 1971, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"ESP", 2009, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"ESP", 2009, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"ESP", 1971, "phi.u", 1.0, "Non-energy use", "Natural gas",
"ESP", 1971, "phi.u", 1.0, "Non-energy use", "Natural gas",
"ESP", 2009, "phi.u", 1.0, "Non-energy use", "Natural gas",
"ESP", 2009, "phi.u", 1.0, "Non-energy use", "Natural gas",
"MEX", 1971, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"MEX", 1971, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"MEX", 2009, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"MEX", 2009, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"MEX", 1971, "phi.u", 1.0, "Non-energy use", "Natural gas",
"MEX", 1971, "phi.u", 1.0, "Non-energy use", "Natural gas",
"MEX", 2009, "phi.u", 1.0, "Non-energy use", "Natural gas",
"MEX", 2009, "phi.u", 1.0, "Non-energy use", "Natural gas")
plots_eta_df <- eta_fu_plots_df(eta_fu_table, countries = c("ESP", "MEX"))
expect_true(!is.null(plots_eta_df))
expect_true(inherits(plots_eta_df$Plots[[1]], "ggplot"))
expect_true(inherits(plots_eta_df$Plots[[2]], "ggplot"))
})
###########################################################################################################
# This tests the function phi_u_graph()
test_that("phi_u_graph() works", {
# Make a simple data frame with the expected structure.
g <- tibble::tribble(~Country, ~Year, ~Quantity, ~.values, ~Machine, ~Eu.product,
"ESP", 1967, "eta.fu", 0.5, "Cars", "MD",
"MEX", 1967, "eta.fu", 0.6, "Cars", "MD",
"ESP", 2009, "eta.fu", 0.7, "Cars", "MD",
"MEX", 2009, "eta.fu", 0.8, "Cars", "MD",
"ESP", 1967, "phi.u", 0.5, "Cars", "MD",
"MEX", 1967, "phi.u", 0.6, "Cars", "MD",
"ESP", 2009, "phi.u", 0.7, "Cars", "MD",
"MEX", 2009, "phi.u", 0.8, "Cars", "MD") %>%
phi_u_graph(countries = c("ESP", "MEX"))
expect_true(!is.null(g))
expect_true(inherits(g, "ggplot"))
bad_phi_df <- tibble::tribble(~Country, ~Year, ~Quantity, ~.values, ~Machine, ~Eu.product,
"ESP", 1967, "eta.fu", 0.5, "Cars", "MD",
"MEX", 1967, "eta.fu", 0.6, "Cars", "MD",
"ESP", 2009, "eta.fu", 0.7, "Cars", "MD",
"MEX", 2009, "eta.fu", 0.8, "Trucks", "MD",
"ESP", 1967, "phi.u", 1.0, "Cars", "MD",
"MEX", 1967, "phi.u", 1.0, "Cars", "MD",
"ESP", 2009, "phi.u", 1.0, "Cars", "MD",
"MEX", 2009, "phi.u", 1.0, "Trucks", "MD")
expect_error(phi_u_graph(bad_phi_df, countries = c("ESP", "MEX")), regexp = "Found more than 1 machine in phi_u_graph()")
})
test_that("phi_u_plots_df() works as expected", {
phi_u_table <- tibble::tribble(~Country, ~Year, ~Quantity, ~.values, ~Machine, ~Eu.product,
"ESP", 1971, "eta.fu", 0.4, "Cars", "MD",
"ESP", 1971, "eta.fu", 0.5, "Trucks", "MD",
"ESP", 2009, "eta.fu", 0.6, "Cars", "MD",
"ESP", 2009, "eta.fu", 0.7, "Trucks", "MD",
"ESP", 1971, "phi.u", 1.0, "Cars", "MD",
"ESP", 1971, "phi.u", 1.0, "Trucks", "MD",
"ESP", 2009, "phi.u", 1.0, "Cars", "MD",
"ESP", 2009, "phi.u", 1.0, "Trucks", "MD",
"MEX", 1971, "eta.fu", 0.3, "Cars", "MD",
"MEX", 1971, "eta.fu", 0.4, "Trucks", "MD",
"MEX", 2009, "eta.fu", 0.4, "Cars", "MD",
"MEX", 2009, "eta.fu", 0.5, "Trucks", "MD",
"MEX", 1971, "phi.u", 1.0, "Cars", "MD",
"MEX", 1971, "phi.u", 1.0, "Trucks", "MD",
"MEX", 2009, "phi.u", 1.0, "Cars", "MD",
"MEX", 2009, "phi.u", 1.0, "Trucks", "MD",
"ESP", 1971, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"ESP", 1971, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"ESP", 2009, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"ESP", 2009, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"ESP", 1971, "phi.u", 1.0, "Non-energy use", "Natural gas",
"ESP", 1971, "phi.u", 1.0, "Non-energy use", "Natural gas",
"ESP", 2009, "phi.u", 1.0, "Non-energy use", "Natural gas",
"ESP", 2009, "phi.u", 1.0, "Non-energy use", "Natural gas",
"MEX", 1971, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"MEX", 1971, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"MEX", 2009, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"MEX", 2009, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"MEX", 1971, "phi.u", 1.0, "Non-energy use", "Natural gas",
"MEX", 1971, "phi.u", 1.0, "Non-energy use", "Natural gas",
"MEX", 2009, "phi.u", 1.0, "Non-energy use", "Natural gas",
"MEX", 2009, "phi.u", 1.0, "Non-energy use", "Natural gas")
plots_phi_df <- phi_u_plots_df(phi_u_table, countries = c("ESP", "MEX"))
expect_true(!is.null(plots_phi_df))
expect_true(inherits(plots_phi_df$Plots[[1]], "ggplot"))
expect_true(inherits(plots_phi_df$Plots[[2]], "ggplot"))
})
MatthewHeun/SEAPSUTWorkflow documentation built on April 22, 2022, 2:21 p.m.
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###########################################################
context("Graph Functions")
###########################################################
# This tests the function alloc_graph()
test_that("alloc_graph() works", {
# Make a simple data frame with the expected structure.
g <- tibble::tribble(~Year, ~.values, ~Machine, ~Eu.product,
1967, 0.5, "Cars", "MD",
1967, 0.5, "Industry static engines", "MD",
2020, 0.8, "Cars", "MD",
2020, 0.2, "Industry static engines", "MD") %>%
alloc_graph(country = "Example", ef_product = "Petrol", destination = "Transport")
expect_true(!is.null(g))
expect_true(inherits(g, "ggplot"))
})
test_that("alloc_plots_df() works as expected", {
alloc_table <- alloc_table <- tibble::tribble(~Country, ~Method, ~Energy.type, ~Year, ~Ef.product, ~Destination,
~.values, ~Machine, ~Quantity, ~Eu.product, ~C.source,
"GHA", "PCM", "E", 1971, "Gasoline", "Transport",
0.5, "Cars", "C_1 [%]", "MD", "World",
"GHA", "PCM", "E", 1971, "Gasoline", "Transport",
0.5, "Trucks", "C_2 [%]", "MD", "World",
"GHA", "PCM", "E", 2020, "Gasoline", "Transport",
0.2, "Cars", "C_1 [%]", "MD", "World",
"GHA", "PCM", "E", 2020, "Gasoline", "Transport",
0.8, "Trucks", "C_2 [%]", "MD", "World",
"ZAF", "PCM", "E", 1971, "Gasoline", "Transport",
0.5, "Cars", "C_1 [%]", "MD", "World",
"ZAF", "PCM", "E", 1971, "Gasoline", "Transport",
0.5, "Trucks", "C_2 [%]", "MD", "World",
"ZAF", "PCM", "E", 2020, "Gasoline", "Transport",
0.3, "Cars", "C_1 [%]", "MD", "World",
"ZAF", "PCM", "E", 2020, "Gasoline", "Transport",
0.7, "Trucks", "C_2 [%]", "MD", "World")
plots_df <- alloc_plots_df(alloc_table, countries = c("GHA", "ZAF"))
expect_true(!is.null(plots_df))
expect_true(inherits(plots_df$Plots[[1]], "ggplot"))
expect_true(inherits(plots_df$Plots[[2]], "ggplot"))
})
#####################################################################################################################
# This tests the function nonstat_alloc_graph()
test_that("nonstat_alloc_graph() works", {
# Make a simple data frame with the expected structure.
i <- tibble::tribble(~Year, ~.values, ~Machine, ~Eu.product,
1967, 0.5, "Cars", "MD",
1967, 0.5, "Industry static engines", "MD",
2020, 0.8, "Cars", "MD",
2020, 0.2, "Industry static engines", "MD") %>%
nonstat_alloc_graph(country = "Example", ef_product = "Petrol", destination = "Transport")
expect_true(!is.null(i))
expect_true(inherits(i, "ggplot"))
})
test_that("nonstat_alloc_plots_df() works as expected", {
non_stat_alloc_table <- tibble::tribble(~Country, ~Method, ~Energy.type, ~Year, ~Ef.product, ~Destination,
~.values, ~Machine, ~Quantity, ~Eu.product, ~C.source,
# Non-stationary data
"GHA", "PCM", "E", 1971, "Gasoline", "Transport",
0.5, "Cars", "C_1 [%]", "MD", "World",
"GHA", "PCM", "E", 1971, "Gasoline", "Transport",
0.5, "Trucks", "C_2 [%]", "MD", "World",
"GHA", "PCM", "E", 2009, "Gasoline", "Transport",
0.2, "Cars", "C_1 [%]", "MD", "World",
"GHA", "PCM", "E", 2009, "Gasoline", "Transport",
0.8, "Trucks", "C_2 [%]", "MD", "World",
"ZAF", "PCM", "E", 1971, "Gasoline", "Transport",
0.5, "Cars", "C_1 [%]", "MD", "World",
"ZAF", "PCM", "E", 1971, "Gasoline", "Transport",
0.5, "Trucks", "C_2 [%]", "MD", "World",
"ZAF", "PCM", "E", 2009, "Gasoline", "Transport",
0.3, "Cars", "C_1 [%]", "MD", "World",
"ZAF", "PCM", "E", 2009, "Gasoline", "Transport",
0.7, "Trucks", "C_2 [%]", "MD", "World",
# Stationary data (should be excluded by nonstat_alloc_plots_df())
"GHA", "PCM", "E", 1971, "Diesel", "Transport",
0.5, "Cars", "C_1 [%]", "MD", "World",
"GHA", "PCM", "E", 1971, "Diesel", "Transport",
0.5, "Trucks", "C_2 [%]", "MD", "World",
"GHA", "PCM", "E", 2009, "Diesel", "Transport",
0.5, "Cars", "C_1 [%]", "MD", "World",
"GHA", "PCM", "E", 2009, "Diesel", "Transport",
0.5, "Trucks", "C_2 [%]", "MD", "World",
"ZAF", "PCM", "E", 1971, "Diesel", "Transport",
0.3, "Cars", "C_1 [%]", "MD", "World",
"ZAF", "PCM", "E", 1971, "Diesel", "Transport",
0.7, "Trucks", "C_2 [%]", "MD", "World",
"ZAF", "PCM", "E", 2009, "Diesel", "Transport",
0.3, "Cars", "C_1 [%]", "MD", "World",
"ZAF", "PCM", "E", 2009, "Diesel", "Transport",
0.7, "Trucks", "C_2 [%]", "MD", "World",
# Stationary data with different 2015 and 2020 c_source (ESP).
# Should be excluded by nonstat_alloc_plots_df() as .values are static
# even though they are different to .values in 1971 and 2009 with
# c_source = World
"GHA", "PCM", "E", 1971, "LPG", "Transport",
0.5, "Cars", "C_1 [%]", "MD", "World",
"GHA", "PCM", "E", 1971, "LPG", "Transport",
0.5, "Trucks", "C_2 [%]", "MD", "World",
"GHA", "PCM", "E", 2009, "LPG", "Transport",
0.5, "Cars", "C_1 [%]", "MD", "World",
"GHA", "PCM", "E", 2009, "LPG", "Transport",
0.5, "Trucks", "C_2 [%]", "MD", "World",
"GHA", "PCM", "E", 2015, "LPG", "Transport",
0.4, "Cars", "C_1 [%]", "MD", "ESP",
"GHA", "PCM", "E", 2015, "LPG", "Transport",
0.6, "Trucks", "C_2 [%]", "MD", "ESP",
"GHA", "PCM", "E", 2020, "LPG", "Transport",
0.4, "Cars", "C_1 [%]", "MD", "ESP",
"GHA", "PCM", "E", 2020, "LPG", "Transport",
0.6, "Trucks", "C_2 [%]", "MD", "ESP",
"ZAF", "PCM", "E", 1971, "LPG", "Transport",
0.3, "Cars", "C_1 [%]", "MD", "World",
"ZAF", "PCM", "E", 1971, "LPG", "Transport",
0.7, "Trucks", "C_2 [%]", "MD", "World",
"ZAF", "PCM", "E", 2009, "LPG", "Transport",
0.3, "Cars", "C_1 [%]", "MD", "World",
"ZAF", "PCM", "E", 2009, "LPG", "Transport",
0.7, "Trucks", "C_2 [%]", "MD", "World",
"ZAF", "PCM", "E", 1971, "LPG", "Transport",
0.2, "Cars", "C_1 [%]", "MD", "ESP",
"ZAF", "PCM", "E", 1971, "LPG", "Transport",
0.8, "Trucks", "C_2 [%]", "MD", "ESP",
"ZAF", "PCM", "E", 2009, "LPG", "Transport",
0.2, "Cars", "C_1 [%]", "MD", "ESP",
"ZAF", "PCM", "E", 2009, "LPG", "Transport",
0.8, "Trucks", "C_2 [%]", "MD", "ESP"
)
plots_df <- nonstat_alloc_plots_df(non_stat_alloc_table, countries = c("GHA", "ZAF"))
expect_true(!is.null(plots_df))
expect_true(unique(plots_df$Ef.product) == "Gasoline")
expect_true(inherits(plots_df$Plots[[1]], "ggplot"))
expect_true(inherits(plots_df$Plots[[2]], "ggplot"))
})
###########################################################################################################
# This tests the function eta_fu_graph()
test_that("eta_fu_graph() works", {
# Make a simple data frame with the expected structure.
h <- tibble::tribble(~Country, ~Year, ~Quantity, ~.values, ~Machine, ~Eu.product,
"ESP", 1967, "eta.fu", 0.5, "Cars", "MD",
"MEX", 1967, "eta.fu", 0.6, "Cars", "MD",
"ESP", 2009, "eta.fu", 0.7, "Cars", "MD",
"MEX", 2009, "eta.fu", 0.8, "Cars", "MD",
"ESP", 1967, "phi.u", 0.5, "Cars", "MD",
"MEX", 1967, "phi.u", 0.6, "Cars", "MD",
"ESP", 2009, "phi.u", 0.7, "Cars", "MD",
"MEX", 2009, "phi.u", 0.8, "Cars", "MD") %>%
eta_fu_graph(countries = c("ESP", "MEX"))
expect_true(!is.null(h))
expect_true(inherits(h, "ggplot"))
bad_df <- tibble::tribble(~Country, ~Year, ~Quantity, ~.values, ~Machine, ~Eu.product,
"ESP", 1967, "eta.fu", 0.5, "Cars", "MD",
"MEX", 1967, "eta.fu", 0.6, "Cars", "MD",
"ESP", 2009, "eta.fu", 0.7, "Cars", "MD",
"MEX", 2009, "eta.fu", 0.8, "Trucks", "MD",
"ESP", 1967, "phi.u", 1.0, "Cars", "MD",
"MEX", 1967, "phi.u", 1.0, "Cars", "MD",
"ESP", 2009, "phi.u", 1.0, "Cars", "MD",
"MEX", 2009, "phi.u", 1.0, "Trucks", "MD")
expect_error(eta_fu_graph(bad_df, countries = c("ESP", "MEX")), regexp = "Found more than 1 machine in eta_fu_graph()")
})
test_that("eta_fu_plots_df() works as expected", {
eta_fu_table <- tibble::tribble(~Country, ~Year, ~Quantity, ~.values, ~Machine, ~Eu.product,
"ESP", 1971, "eta.fu", 0.4, "Cars", "MD",
"ESP", 1971, "eta.fu", 0.5, "Trucks", "MD",
"ESP", 2009, "eta.fu", 0.6, "Cars", "MD",
"ESP", 2009, "eta.fu", 0.7, "Trucks", "MD",
"ESP", 1971, "phi.u", 1.0, "Cars", "MD",
"ESP", 1971, "phi.u", 1.0, "Trucks", "MD",
"ESP", 2009, "phi.u", 1.0, "Cars", "MD",
"ESP", 2009, "phi.u", 1.0, "Trucks", "MD",
"MEX", 1971, "eta.fu", 0.3, "Cars", "MD",
"MEX", 1971, "eta.fu", 0.4, "Trucks", "MD",
"MEX", 2009, "eta.fu", 0.4, "Cars", "MD",
"MEX", 2009, "eta.fu", 0.5, "Trucks", "MD",
"MEX", 1971, "phi.u", 1.0, "Cars", "MD",
"MEX", 1971, "phi.u", 1.0, "Trucks", "MD",
"MEX", 2009, "phi.u", 1.0, "Cars", "MD",
"MEX", 2009, "phi.u", 1.0, "Trucks", "MD",
"ESP", 1971, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"ESP", 1971, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"ESP", 2009, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"ESP", 2009, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"ESP", 1971, "phi.u", 1.0, "Non-energy use", "Natural gas",
"ESP", 1971, "phi.u", 1.0, "Non-energy use", "Natural gas",
"ESP", 2009, "phi.u", 1.0, "Non-energy use", "Natural gas",
"ESP", 2009, "phi.u", 1.0, "Non-energy use", "Natural gas",
"MEX", 1971, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"MEX", 1971, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"MEX", 2009, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"MEX", 2009, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"MEX", 1971, "phi.u", 1.0, "Non-energy use", "Natural gas",
"MEX", 1971, "phi.u", 1.0, "Non-energy use", "Natural gas",
"MEX", 2009, "phi.u", 1.0, "Non-energy use", "Natural gas",
"MEX", 2009, "phi.u", 1.0, "Non-energy use", "Natural gas")
plots_eta_df <- eta_fu_plots_df(eta_fu_table, countries = c("ESP", "MEX"))
expect_true(!is.null(plots_eta_df))
expect_true(inherits(plots_eta_df$Plots[[1]], "ggplot"))
expect_true(inherits(plots_eta_df$Plots[[2]], "ggplot"))
})
###########################################################################################################
# This tests the function phi_u_graph()
test_that("phi_u_graph() works", {
# Make a simple data frame with the expected structure.
g <- tibble::tribble(~Country, ~Year, ~Quantity, ~.values, ~Machine, ~Eu.product,
"ESP", 1967, "eta.fu", 0.5, "Cars", "MD",
"MEX", 1967, "eta.fu", 0.6, "Cars", "MD",
"ESP", 2009, "eta.fu", 0.7, "Cars", "MD",
"MEX", 2009, "eta.fu", 0.8, "Cars", "MD",
"ESP", 1967, "phi.u", 0.5, "Cars", "MD",
"MEX", 1967, "phi.u", 0.6, "Cars", "MD",
"ESP", 2009, "phi.u", 0.7, "Cars", "MD",
"MEX", 2009, "phi.u", 0.8, "Cars", "MD") %>%
phi_u_graph(countries = c("ESP", "MEX"))
expect_true(!is.null(g))
expect_true(inherits(g, "ggplot"))
bad_phi_df <- tibble::tribble(~Country, ~Year, ~Quantity, ~.values, ~Machine, ~Eu.product,
"ESP", 1967, "eta.fu", 0.5, "Cars", "MD",
"MEX", 1967, "eta.fu", 0.6, "Cars", "MD",
"ESP", 2009, "eta.fu", 0.7, "Cars", "MD",
"MEX", 2009, "eta.fu", 0.8, "Trucks", "MD",
"ESP", 1967, "phi.u", 1.0, "Cars", "MD",
"MEX", 1967, "phi.u", 1.0, "Cars", "MD",
"ESP", 2009, "phi.u", 1.0, "Cars", "MD",
"MEX", 2009, "phi.u", 1.0, "Trucks", "MD")
expect_error(phi_u_graph(bad_phi_df, countries = c("ESP", "MEX")), regexp = "Found more than 1 machine in phi_u_graph()")
})
test_that("phi_u_plots_df() works as expected", {
phi_u_table <- tibble::tribble(~Country, ~Year, ~Quantity, ~.values, ~Machine, ~Eu.product,
"ESP", 1971, "eta.fu", 0.4, "Cars", "MD",
"ESP", 1971, "eta.fu", 0.5, "Trucks", "MD",
"ESP", 2009, "eta.fu", 0.6, "Cars", "MD",
"ESP", 2009, "eta.fu", 0.7, "Trucks", "MD",
"ESP", 1971, "phi.u", 1.0, "Cars", "MD",
"ESP", 1971, "phi.u", 1.0, "Trucks", "MD",
"ESP", 2009, "phi.u", 1.0, "Cars", "MD",
"ESP", 2009, "phi.u", 1.0, "Trucks", "MD",
"MEX", 1971, "eta.fu", 0.3, "Cars", "MD",
"MEX", 1971, "eta.fu", 0.4, "Trucks", "MD",
"MEX", 2009, "eta.fu", 0.4, "Cars", "MD",
"MEX", 2009, "eta.fu", 0.5, "Trucks", "MD",
"MEX", 1971, "phi.u", 1.0, "Cars", "MD",
"MEX", 1971, "phi.u", 1.0, "Trucks", "MD",
"MEX", 2009, "phi.u", 1.0, "Cars", "MD",
"MEX", 2009, "phi.u", 1.0, "Trucks", "MD",
"ESP", 1971, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"ESP", 1971, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"ESP", 2009, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"ESP", 2009, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"ESP", 1971, "phi.u", 1.0, "Non-energy use", "Natural gas",
"ESP", 1971, "phi.u", 1.0, "Non-energy use", "Natural gas",
"ESP", 2009, "phi.u", 1.0, "Non-energy use", "Natural gas",
"ESP", 2009, "phi.u", 1.0, "Non-energy use", "Natural gas",
"MEX", 1971, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"MEX", 1971, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"MEX", 2009, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"MEX", 2009, "eta.fu", 0.0001, "Non-energy use", "Natural gas",
"MEX", 1971, "phi.u", 1.0, "Non-energy use", "Natural gas",
"MEX", 1971, "phi.u", 1.0, "Non-energy use", "Natural gas",
"MEX", 2009, "phi.u", 1.0, "Non-energy use", "Natural gas",
"MEX", 2009, "phi.u", 1.0, "Non-energy use", "Natural gas")
plots_phi_df <- phi_u_plots_df(phi_u_table, countries = c("ESP", "MEX"))
expect_true(!is.null(plots_phi_df))
expect_true(inherits(plots_phi_df$Plots[[1]], "ggplot"))
expect_true(inherits(plots_phi_df$Plots[[2]], "ggplot"))
})
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