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# Missing values ----------------------------------------------------------
df <- tibble::tibble(
x1 = c("a", "b", NA),
x2 = factor(x1),
x3 = addNA(x2),
y = 1:3
)
test_that("NAs are translated/preserved for position scales", {
p1a <- ggplot(df, aes(x1, y)) + geom_point()
p2a <- ggplot(df, aes(x2, y)) + geom_point()
p3a <- ggplot(df, aes(x3, y)) + geom_point()
expect_equal(layer_data(p1a)$x, new_mapped_discrete(c(1, 2, 3)))
expect_equal(layer_data(p2a)$x, new_mapped_discrete(c(1, 2, 3)))
expect_equal(layer_data(p3a)$x, new_mapped_discrete(c(1, 2, 3)))
rm_na_x <- scale_x_discrete(na.translate = FALSE)
p1b <- p1a + rm_na_x
p2b <- p2a + rm_na_x
p3b <- p3a + rm_na_x
expect_equal(layer_data(p1b)$x, new_mapped_discrete(c(1, 2, NA)))
expect_equal(layer_data(p2b)$x, new_mapped_discrete(c(1, 2, NA)))
expect_equal(layer_data(p3b)$x, new_mapped_discrete(c(1, 2, NA)))
})
test_that("NAs are translated/preserved for non-position scales", {
p1a <- ggplot(df, aes(y, y, colour = x1)) + geom_point()
p2a <- ggplot(df, aes(y, y, colour = x2)) + geom_point()
p3a <- ggplot(df, aes(y, y, colour = x3)) + geom_point()
expect_equal(layer_data(p1a)$colour, c("#F8766D", "#00BFC4", "grey50"))
expect_equal(layer_data(p2a)$colour, c("#F8766D", "#00BFC4", "grey50"))
expect_equal(layer_data(p3a)$colour, c("#F8766D", "#00BFC4", "grey50"))
rm_na_colour <- scale_colour_discrete(na.translate = FALSE)
p1b <- p1a + rm_na_colour
p2b <- p2a + rm_na_colour
p3b <- p3a + rm_na_colour
expect_equal(layer_data(p1b)$colour, c("#F8766D", "#00BFC4", NA))
expect_equal(layer_data(p2b)$colour, c("#F8766D", "#00BFC4", NA))
expect_equal(layer_data(p3b)$colour, c("#F8766D", "#00BFC4", NA))
})
# Ranges ------------------------------------------------------------------
test_that("discrete ranges also encompass continuous values", {
df <- data_frame(x1 = c("a", "b", "c"), x2 = c(0, 2, 4), y = 1:3)
base <- ggplot(df, aes(y = y)) + scale_x_discrete()
x_range <- function(x) {
layer_scales(x)$x$dimension()
}
expect_equal(x_range(base + geom_point(aes(x1))), c(1, 3))
expect_equal(x_range(base + geom_point(aes(x2))), c(0, 4))
expect_equal(x_range(base + geom_point(aes(x1)) + geom_point(aes(x2))), c(0, 4))
})
test_that("discrete ranges have limits even when all values are continuous", {
scale <- scale_x_discrete()
scale$train(1:3)
expect_identical(scale$get_limits(), integer())
})
test_that("discrete scale shrinks to range when setting limits", {
df <- data_frame(x = letters[1:10], y = 1:10)
p <- ggplot(df, aes(x, y)) + geom_point() +
scale_x_discrete(limits = c("a", "b"))
expect_equal(layer_scales(p)$x$dimension(c(0, 1)), c(0, 3))
})
test_that("discrete position scales can accept functional limits", {
scale <- scale_x_discrete(limits = rev)
scale$train(c("a", "b", "c"))
expect_identical(scale$get_limits(), c("c", "b", "a"))
})
test_that("discrete non-position scales can accept functional limits", {
scale <- scale_colour_discrete(limits = rev)
scale$train(c("a", "b", "c"))
expect_identical(scale$get_limits(), c("c", "b", "a"))
})
test_that("discrete scale defaults can be set globally", {
df <- data_frame(
x = 1:4, y = 1:4,
two = c("a", "b", "a", "b"),
four = c("a", "b", "c", "d")
)
withr::with_options(
list(ggplot2.discrete.fill = c("#FFFFFF", "#000000"),
ggplot2.discrete.colour = c("#FFFFFF", "#000000")), {
# nlevels == ncodes
two <- ggplot(df, aes(x, y, colour = two, fill = two)) + geom_point()
expect_equal(layer_data(two)$colour, rep(c("#FFFFFF", "#000000"), 2))
expect_equal(layer_data(two)$fill, rep(c("#FFFFFF", "#000000"), 2))
# nlevels > ncodes (so should fallback to scale_fill_hue())
four_default <- ggplot(df, aes(x, y, colour = four, fill = four)) +
geom_point()
four_hue <- four_default + scale_fill_hue()
expect_equal(layer_data(four_default)$colour, layer_data(four_hue)$colour)
}
)
withr::with_options(
list(
ggplot2.discrete.fill = list(
c("#FFFFFF", "#000000"),
c("#FF0000", "#00FF00", "#0000FF", "#FF00FF")
),
ggplot2.discrete.colour = list(
c("#FFFFFF", "#000000"),
c("#FF0000", "#00FF00", "#0000FF", "#FF00FF")
)
), {
# nlevels == 2
two <- ggplot(df, aes(x, y, colour = two, fill = two)) + geom_point()
expect_equal(layer_data(two)$colour, rep(c("#FFFFFF", "#000000"), 2))
expect_equal(layer_data(two)$fill, rep(c("#FFFFFF", "#000000"), 2))
# nlevels == 4
four <- ggplot(df, aes(x, y, colour = four, fill = four)) + geom_point()
expect_equal(layer_data(four)$colour, c("#FF0000", "#00FF00", "#0000FF", "#FF00FF"))
expect_equal(layer_data(four)$fill, c("#FF0000", "#00FF00", "#0000FF", "#FF00FF"))
}
)
})
test_that("Scale is checked in default colour scale", {
# Check scale type
expect_error(scale_colour_discrete(type = scale_colour_gradient))
expect_error(scale_fill_discrete(type = scale_fill_gradient))
# Check aesthetic
expect_error(scale_colour_discrete(type = scale_fill_hue))
expect_error(scale_fill_discrete(type = scale_colour_hue))
})
test_that("Aesthetics with no continuous interpretation fails when called", {
expect_snapshot_error(scale_linetype_continuous())
expect_snapshot_error(scale_shape_continuous())
})
# mapped_discrete ---------------------------------------------------------
test_that("mapped_discrete vectors behaves as predicted", {
expect_null(mapped_discrete(NULL))
expect_s3_class(mapped_discrete(c(0, 3.5)), "mapped_discrete")
expect_s3_class(mapped_discrete(seq_len(4)), "mapped_discrete")
expect_error(mapped_discrete(letters))
x <- mapped_discrete(1:10)
expect_s3_class(x[2:4], "mapped_discrete")
expect_s3_class(c(x, x), "mapped_discrete")
x[5:7] <- mapped_discrete(seq_len(3))
expect_s3_class(x, "mapped_discrete")
})
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