Nothing
test_that("lines are different from paths", {
df <- data.frame(
x = c(1, 3, 2),
y = c(0, 0, 1)
)
p <- qplot(x, y, data = df, geom = "path")
info <- expect_doppelganger_built(p, "path-lines-diff-from-paths")
expect_identical(info$data[[1]]$x[1:3], c(1, 3, 2))
expect_identical(info$data[[1]]$y[1:3], c(0, 0, 1))
})
two.paths <- data.frame(
x = c(1, 2, 1, 2),
y = c(1, 1, 2, 2)
)
test_that("paths with different colors become different traces", {
## Numeric color.
gg <- ggplot() +
geom_path(aes(x, y, group = y, color = y), data = two.paths)
info <- expect_doppelganger_built(gg, "path-colors")
# one trace is for the colorbar
expect_equivalent(length(info$data), 3)
expect_identical(info$data[[1]]$x[1:2], c(1,2))
expect_identical(info$data[[2]]$x[1:2], c(1,2))
expect_identical(info$data[[1]]$y[1:2], c(1,1))
expect_identical(info$data[[2]]$y[1:2], c(2,2))
## Categorical color.
gg <- ggplot() +
geom_path(aes(x, y, group = y, color = paste0("FOO", y)), data = two.paths)
info <- expect_doppelganger_built(gg, "path-colors2")
expect_equivalent(length(info$data), 2)
expect_identical(info$data[[1]]$x[1:2], c(1,2))
expect_identical(info$data[[2]]$x[1:2], c(1,2))
expect_identical(info$data[[1]]$y[1:2], c(1,1))
expect_identical(info$data[[2]]$y[1:2], c(2,2))
})
four.paths <- rbind(
data.frame(two.paths, g = "positive", stringsAsFactors = TRUE),
data.frame(-two.paths, g = "negative", stringsAsFactors = TRUE)
)
test_that("paths with the same color but different groups stay together", {
gg <- ggplot() +
geom_path(aes(x, y, group = y, color = g), data = four.paths)
info <- expect_doppelganger_built(gg, "path-colored-groups-stay-together")
expect_equivalent(length(info$data), 2)
expect_identical(info$data[[1]]$name, "positive")
expect_identical(info$data[[2]]$name, "negative")
expect_true(any(is.na(info$data[[1]]$x)))
expect_true(any(is.na(info$data[[1]]$y)))
expect_true(any(is.na(info$data[[2]]$x)))
expect_true(any(is.na(info$data[[2]]$y)))
})
test_that("lines & points are merged into markers+lines traces", {
df1 <- data.frame(
sex = factor(c("Female", "Female", "Male", "Male")),
time = factor(c("Lunch", "Dinner", "Lunch", "Dinner"),
levels = c("Lunch", "Dinner")),
total_bill = c(13.53, 16.81, 16.24, 17.42)
)
gg <- ggplot(data = df1, aes(x=time, y=total_bill, group=sex, shape=sex)) +
geom_line() +
geom_point()
info <- expect_doppelganger_built(gg, "path-line-symbols")
expect_equivalent(length(info$data), 2) # 2 traces
expect_equivalent(info$data[[1]]$name, "Female")
expect_equivalent(info$data[[1]]$marker$symbol, "circle")
expect_equivalent(info$data[[2]]$name, "Male")
expect_equivalent(info$data[[2]]$marker$symbol, "triangle-up")
expect_match(info$data[[1]]$mode, "lines")
expect_match(info$data[[1]]$mode, "markers")
expect_match(info$data[[2]]$mode, "lines")
expect_match(info$data[[2]]$mode, "markers")
})
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