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context("scale_manual")
test_that("names of values used in manual scales", {
s <- scale_colour_manual(values = c("8" = "c","4" = "a","6" = "b"))
s$train(c("4", "6", "8"))
expect_equal(s$map(c("4", "6", "8")), c("a", "b", "c"))
})
dat <- data_frame(g = c("B","A","A"))
p <- ggplot(dat, aes(g, fill = g)) + geom_bar()
col <- c("A" = "red", "B" = "green", "C" = "blue")
cols <- function(x) ggplot_build(x)$data[[1]][, "fill"]
test_that("named values work regardless of order", {
fill_scale <- function(order) scale_fill_manual(values = col[order],
na.value = "black")
# Order of value vector shouldn't matter
expect_equal(cols(p + fill_scale(1:3)), c("red", "green"))
expect_equal(cols(p + fill_scale(1:2)), c("red", "green"))
expect_equal(cols(p + fill_scale(2:1)), c("red", "green"))
expect_equal(cols(p + fill_scale(c(3, 2, 1))), c("red", "green"))
expect_equal(cols(p + fill_scale(c(3, 1, 2))), c("red", "green"))
expect_equal(cols(p + fill_scale(c(1, 3, 2))), c("red", "green"))
})
test_that("missing values are replaced with na.value", {
df <- data_frame(x = 1, y = 1:3, z = factor(c(1:2, NA), exclude = NULL))
p <- ggplot(df, aes(x, y, colour = z)) +
geom_point() +
scale_colour_manual(values = c("black", "black"), na.value = "red")
expect_equal(layer_data(p)$colour, c("black", "black", "red"))
})
test_that("insufficient values raise an error", {
df <- data_frame(x = 1, y = 1:3, z = factor(c(1:2, NA), exclude = NULL))
p <- qplot(x, y, data = df, colour = z)
expect_error(ggplot_build(p + scale_colour_manual(values = "black")),
"Insufficient values")
# Should be sufficient
ggplot_build(p + scale_colour_manual(values = c("black", "black")))
})
test_that("values are matched when scale contains more unique values than are in the data", {
s <- scale_colour_manual(values = c("8" = "c", "4" = "a",
"22" = "d", "6" = "b"))
s$train(c("4", "6", "8"))
expect_equal(s$map(c("4", "6", "8")), c("a", "b", "c"))
})
test_that("generic scale can be used in place of aesthetic-specific scales", {
df <- data_frame(x = letters[1:3], y = LETTERS[1:3], z = factor(c(1, 2, 3)))
p1 <- ggplot(df, aes(z, z, shape = x, color = y, alpha = z)) +
scale_shape_manual(values = 1:3) +
scale_colour_manual(values = c("red", "green", "blue")) +
scale_alpha_manual(values = c(0.2, 0.4, 0.6))
p2 <- ggplot(df, aes(z, z, shape = x, color = y, alpha = z)) +
scale_discrete_manual(aesthetics = "shape", values = 1:3) +
scale_discrete_manual(aesthetics = "colour", values = c("red", "green", "blue")) +
scale_discrete_manual(aesthetics = "alpha", values = c(0.2, 0.4, 0.6))
expect_equal(layer_data(p1), layer_data(p2))
})
test_that("named values do not match with breaks in manual scales", {
s <- scale_fill_manual(
values = c("data_red" = "red", "data_black" = "black"),
breaks = c("data_black", "data_red")
)
s$train(c("data_black", "data_red"))
expect_equal(s$map(c("data_red", "data_black")), c("red", "black"))
})
test_that("unnamed values match breaks in manual scales", {
s <- scale_fill_manual(
values = c("red", "black"),
breaks = c("data_red", "data_black")
)
s$train(c("data_red", "data_black"))
expect_equal(s$map(c("data_red", "data_black")), c("red", "black"))
})
test_that("limits works (#3262)", {
# named charachter vector
s1 <- scale_colour_manual(values = c("8" = "c", "4" = "a", "6" = "b"), limits = c("4", "8"))
s1$train(c("4", "6", "8"))
expect_equal(s1$map(c("4", "6", "8")), c("a", NA, "c"))
# named charachter vector
s2 <- scale_colour_manual(values = c("c", "a", "b"), limits = c("4", "8"))
s2$train(c("4", "6", "8"))
expect_equal(s2$map(c("4", "6", "8")), c("c", NA, "a"))
})
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