Nothing
context("compute_count")
test_that("count_vector correctly handles factors", {
fac <- factor(c("A", "A", "C"), levels = c("A", "C"))
expect_identical(
count_vector(fac),
data.frame(
count_ = c(2, 1),
x_ = factor(c("A", "C"), levels = c("A", "C"))
)
)
# Levels that aren't represented are dropped from the count
fac <- factor(c("A", "A", "C"), levels = c("A", "B", "C"))
expect_identical(
count_vector(fac),
data.frame(
count_ = c(2, 1),
x_ = factor(c("A", "C"), levels = c("A", "B", "C"))
)
)
# Factor with levels in non-lexical order
fac <- factor(c("A", "A", "C"), levels = c("C", "A"))
expect_identical(
count_vector(fac),
data.frame(
count_ = c(1, 2),
x_ = factor(c("C", "A"), levels = c("C", "A"))
)
)
})
test_that("count_vector preserves dates and times", {
dates <- as.Date("2013-07-01") + 1:100
res <- count_vector(dates)
# May not be identical because res$x_ gets coerced to int
expect_equal(dates, res$x_)
times <- as.POSIXct('2001-06-11 21:00', tz = 'America/New_York') + 1:10 * 100
res <- count_vector(times)
expect_identical(times, res$x_)
times <- as.POSIXct('2001-06-11 21:00', tz = 'UTC') + seq(1, 1000, by = 10)
res <- count_vector(times)
expect_identical(times, res$x_)
})
test_that("Zero-row inputs", {
res <- mtcars[0,] %>% compute_count(~cyl)
expect_equal(nrow(res), 0)
expect_true(setequal(names(res), c("count_", "x_")))
# Grouped
res <- mtcars %>% group_by(cyl) %>% dplyr::filter(FALSE) %>% compute_count(~cyl)
expect_equal(nrow(res), 0)
expect_true(setequal(names(res), c("cyl", "count_", "x_")))
})
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