library(carbonr) # Sample data data <- data.frame( time = as.Date(c("2023-01-01", "2023-02-01", "2023-03-01", "2023-04-01")), theatre = c("A", "A", "B", "B"), carbon_price_credit = c(100, 150, 200, 250) ) test_that("total_output plots correctly for default settings", { # Expected plot expected_plot <- ggplot2::ggplot(data, ggplot2::aes(x = time, y = carbon_price_credit, group = theatre, colour = theatre)) + ggplot2::geom_point() + ggplot2::geom_line() + ggplot2::facet_wrap(ggplot2::vars(theatre)) + ggplot2::theme_bw() # Test plot test_plot <- total_output(data) # Compare plots expect_equal(expected_plot$facet, test_plot$facet) }) # Sample data data <- data.frame( time = as.Date(c("2023-01-01", "2023-02-01", "2023-03-01", "2023-04-01")), theatre = c("A", "A", "B", "B"), carbon_price_credit = c(100, 150, 200, 250) ) test_that("total_output plots correctly for month grouping", { # Expected plot expected_plot <- ggplot2::ggplot(data %>% dplyr::mutate(time = lubridate::month(time)), ggplot2::aes(x = time, y = carbon_price_credit, group = theatre, colour = theatre)) + ggplot2::geom_point() + ggplot2::geom_line() + ggplot2::facet_wrap(ggplot2::vars(theatre)) + ggplot2::theme_bw() # Test plot test_plot <- total_output(data, plot_by = "month") # Compare plots expect_equal(expected_plot$facet, test_plot$facet) }) # Sample data data <- data.frame( time = as.Date(c("2023-01-01", "2023-02-01", "2023-03-01", "2023-04-01")), theatre = c("A", "A", "B", "B"), carbon_price_credit = c(100, 150, 200, 250) ) test_that("total_output plots correctly for year grouping", { # Expected plot expected_plot <- ggplot2::ggplot(data %>% dplyr::mutate(time = lubridate::year(time)), ggplot2::aes(x = time, y = carbon_price_credit, group = theatre, colour = theatre)) + ggplot2::geom_point() + ggplot2::geom_line() + ggplot2::facet_wrap(ggplot2::vars(theatre)) + ggplot2::theme_bw() # Test plot test_plot <- total_output(data, plot_by = "year") # Compare plots expect_equal(expected_plot$facet, test_plot$facet) })