test_that("Discrete scale", { d <- data.frame(x = 1:5, y = 1:5, z = 21:25, l = letters[1:5]) p <- ggplot2::ggplot(d) + ggplot2::geom_point(aes(x, y, color = l)) init <- ggplot2::layer_data(p)$colour p2 <- p + scale_colour_terrain_d() mod <- ggplot2::layer_data(p2)$colour expect_true(!any(init %in% mod)) # Renamed p3 <- p + scale_color_terrain_d() mod3 <- ggplot2::layer_data(p3)$colour expect_identical(mod, mod3) # Alpha expect_snapshot(p + scale_colour_terrain_d(alpha = -1), error = TRUE ) p3 <- p + scale_colour_terrain_d(alpha = 0.9) mod_alpha <- ggplot2::layer_data(p3)$colour expect_true(all(adjustcolor(mod, alpha.f = 0.9) == mod_alpha)) # Reverse also with alpha expect_snapshot(p + scale_colour_terrain_d(direction = 0.5), error = TRUE ) p4 <- p + scale_colour_terrain_d( direction = -1, alpha = 0.7 ) mod_alpha_rev <- ggplot2::layer_data(p4)$colour expect_true( all(rev(adjustcolor(mod, alpha.f = 0.7)) == mod_alpha_rev) ) }) test_that("Continous scale", { d <- data.frame(x = 1:5, y = 1:5, z = 21:25, l = letters[1:5]) p <- ggplot2::ggplot(d) + ggplot2::geom_point(aes(x, y, colour = z)) init <- ggplot2::layer_data(p)$colour p2 <- p + scale_colour_terrain_c() mod <- ggplot2::layer_data(p2)$colour expect_true(!any(init %in% mod)) # Renamed p3 <- p + scale_color_terrain_c() mod3 <- ggplot2::layer_data(p3)$colour expect_identical(mod, mod3) # Alpha expect_snapshot(p + scale_colour_terrain_c(alpha = -1), error = TRUE ) p3 <- p + scale_colour_terrain_c(alpha = 0.9) mod_alpha <- ggplot2::layer_data(p3)$colour expect_true(all(adjustcolor(mod, alpha.f = 0.9) == mod_alpha)) # Reverse also with alpha expect_snapshot(p + scale_colour_terrain_c(direction = 0.5), error = TRUE ) p4 <- p + scale_colour_terrain_c( direction = -1, alpha = 0.7 ) mod_alpha_rev <- ggplot2::layer_data(p4)$colour expect_true( all(rev(adjustcolor(mod, alpha.f = 0.7)) == mod_alpha_rev) ) }) test_that("Breaking scale", { d <- data.frame( x = 1:10, y = 1:10, z = 31:40 ) # Three cuts br <- c(32, 37) p_init <- ggplot2::ggplot(d) + ggplot2::geom_point(aes(x, y, colour = z)) p <- p_init + ggplot2::scale_colour_viridis_b(breaks = br) init <- ggplot2::layer_data(p)$colour expect_true(length(unique(init)) == 3) p2 <- p_init + scale_colour_terrain_b(breaks = br) mod <- ggplot2::layer_data(p2)$colour expect_true(!any(init %in% mod)) # Renamed p3 <- p_init + scale_color_terrain_b(breaks = br) mod3 <- ggplot2::layer_data(p3)$colour expect_identical(mod, mod3) expect_true(length(unique(mod)) == 3) expect_true(length(unique(mod3)) == 3) # Alpha expect_snapshot(p_init + scale_colour_terrain_b(alpha = -1), error = TRUE ) p3 <- p_init + scale_colour_terrain_b( alpha = 0.9, breaks = br ) mod_alpha <- ggplot2::layer_data(p3)$colour expect_true(all(adjustcolor(mod, alpha.f = 0.9) == mod_alpha)) expect_true(length(unique(mod_alpha)) == 3) # Reverse also with alpha expect_snapshot(p + scale_colour_terrain_b(direction = 0.5), error = TRUE ) p4 <- p_init + scale_colour_terrain_b( direction = -1, alpha = 0.7, breaks = br ) mod_alpha_rev <- ggplot2::layer_data(p4)$colour expect_true(length(unique(mod_alpha_rev)) == 3) })