Nothing
test_that("bbplot basic execution", {
p <- bbplot(mtcars, bb_aes(mpg, disp))
expect_s3_class(p, "bbplot")
})
test_that("bbplot with layers", {
p <- bbplot(mtcars, bb_aes(mpg, disp)) + bb_point()
expect_true(length(p$layer) == 1)
})
test_that("bb_boxplot execution", {
p <- bbplot(mtcars, bb_aes(factor(cyl), mpg)) + bb_boxplot()
expect_s3_class(p, "bbplot")
expect_true("boxplot layer" %in% names(p$layer))
})
test_that("bb_boxplot defaults to add=TRUE and axes=FALSE", {
p <- bbplot(mtcars, bb_aes(factor(cyl), mpg)) + bb_boxplot()
ly <- p$layer[["boxplot layer"]]
expect_true(is.function(ly))
env <- environment(ly)
expect_true(is.list(env$params))
expect_identical(env$params$add, TRUE)
expect_identical(env$params$axes, FALSE)
})
test_that("bb_hist execution", {
p <- bbplot(mtcars, bb_aes(x = mpg)) + bb_hist()
expect_s3_class(p, "bbplot")
expect_true("histogram layer" %in% names(p$layer))
})
test_that("bb_hist contributes to plot limits", {
p <- bbplot(mtcars, bb_aes(mpg)) + bb_hist()
lim <- plotbb:::bb_plot_limits(p)
expect_true(is.numeric(lim$xlim) && length(lim$xlim) == 2)
expect_true(is.numeric(lim$ylim) && length(lim$ylim) == 2)
expect_true(is.finite(lim$xlim[[1]]) && is.finite(lim$xlim[[2]]))
expect_true(lim$ylim[[2]] > 0)
})
test_that("bb_signif comparisons execution", {
p <- bbplot(mtcars, bb_aes(factor(cyl), mpg)) +
bb_boxplot() +
bb_signif(comparisons = list(c("4", "6")))
expect_s3_class(p, "bbplot")
expect_true("signif layer" %in% names(p$layer))
lim <- plotbb:::bb_plot_limits(p)
expect_true(lim$ylim[[2]] > max(mtcars$mpg, na.rm = TRUE))
})
test_that("bb_signif wilcox ties warning is suppressed by default", {
df <- data.frame(
g = factor(rep(c("A", "B"), each = 10)),
y = c(rep(1, 5), rep(2, 5), rep(1, 5), rep(2, 5))
)
p <- bbplot(df, bb_aes(g, y)) +
bb_boxplot() +
bb_signif(comparisons = list(c("A", "B")))
f <- tempfile(fileext = ".pdf")
grDevices::pdf(f)
on.exit(grDevices::dev.off(), add = TRUE)
expect_warning(print(p), NA)
})
test_that("bb_bar canvas respects global limits", {
df <- data.frame(g = factor(rep(c("A", "B"), each = 5)), y = c(1:5, 2:6))
p <- bbplot(df, bb_aes(g, y)) +
bb_bar() +
bb_signif(comparisons = list(c("A", "B")))
fml <- formals(p$canvas)
expect_true(all(c("xlim", "ylim") %in% names(fml)))
lim <- plotbb:::bb_plot_limits(p)
expect_true(lim$ylim[[2]] > max(df$y, na.rm = TRUE))
})
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