Nothing
data <- data.frame(x = rnorm(100),
y = rnorm(100))
data2 <- data.frame(x = rnorm(100),
y = rnorm(100))
context("minimizing/preserve functions")
test_that("delayed_with works",
{
delay <- delayed_with("Mean x" = mean(x),
Y = mean(y),
sd(y))
expect_equal(class(delay), "function")
expect_length(delay_result <- delay(data), 3)
expect_named(delay_result)
expect_equal(names(delay_result), c("Mean x", "Y", ""))
}
)
test_that("mean_dist_to works", {
expect_equal(class(mean_dist_to(data)), "function")
expect_equal(mean_dist_to(data)(data), 0)
expect_gt(mean_dist_to(data)(data2), 0)
})
test_that("mean_self_proximity works", {
expect_gt(mean_self_proximity(data), 0)
})
test_that("moments_n works", {
moment <- moments_n(1:3)
expect_equal(class(moment), "function")
moment <- moments_n(1:3, cols = "x")
expect_equal(class(moment), "function")
expect_length(moment <- moment(data), 3)
expect_length(names(moment), 3)
})
context("draw_data")
test_that("densify works", {
N_groups <- vapply(split(test_drawing, test_drawing[[".group"]]),
nrow, 1)
nrow_expected <- sum(ifelse(N_groups > 1, N_groups*2, N_groups))
expect_equal(nrow(densify(test_drawing, res = 2)), nrow_expected)
nrow_expected <- sum(ifelse(N_groups > 1, N_groups*3, N_groups))
expect_equal(nrow(densify(test_drawing, res = 3)), nrow_expected)
expect_equivalent(densify(test_drawing, res = 1), test_drawing)
})
test_that("draw_data works", {
expect_error(draw_data())
})
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