test_that("n_distinct gives the correct results on iris", {
expect_equal(
sapply(iris, n_distinct),
sapply(iris, function(.) length(unique(.)))
)
})
df_var <- data.frame(
l = c(T, F, F),
i = c(1, 1, 2),
d = Sys.Date() + c(1, 1, 2),
f = factor(letters[c(1, 1, 2)]),
n = c(1, 1, 2) + 0.5,
t = Sys.time() + c(1, 1, 2),
c = letters[c(1, 1, 2)],
stringsAsFactors = FALSE
)
test_that("n_distinct gives correct results for key types", {
expect_equal(
sapply(df_var, n_distinct),
sapply(df_var, function(.) length(unique(.)))
)
})
test_that("n_distinct treats NA correctly in the REALSXP case (#384)", {
expect_equal(n_distinct(c(1.0, NA, NA)), 2)
})
test_that("n_distinct recycles length 1 vectors (#3685)", {
expect_equal(n_distinct(1, 1:4), 4)
expect_equal(n_distinct(1:4, 1), 4)
d <- tibble(x = 1:4)
res <- d %>%
summarise(y = sum(x), n1 = n_distinct(y, x), n2 = n_distinct(x, y), n3 = n_distinct(y), n4 = n_distinct(identity(y)), n5 = n_distinct(x))
expect_equal(res$n1, 4)
expect_equal(res$n2, 4)
expect_equal(res$n3, 1)
expect_equal(res$n4, 1)
expect_equal(res$n5, 4)
res <- tibble(g = c(1,1,1,1,2,2), x = c(1,2,3,1,1,2)) %>%
group_by(g) %>%
summarise(y = sum(x), n1 = n_distinct(y, x), n2 = n_distinct(x, y), n3 = n_distinct(y), n4 = n_distinct(identity(y)), n5 = n_distinct(x))
expect_equal(res$n1, c(3,2))
expect_equal(res$n2, c(3,2))
expect_equal(res$n3, c(1,1))
expect_equal(res$n4, c(1,1))
expect_equal(res$n5, c(3,2))
})
test_that("n_distinct() handles unnamed (#5069)", {
x <- iris$Sepal.Length
y <- iris$Sepal.Width
expect_equal(
n_distinct(iris$Sepal.Length, iris$Sepal.Width),
n_distinct(x, y)
)
})
test_that("n_distinct handles expressions in na.rm (#3686)", {
d <- tibble(x = c(1:4,NA))
yes <- TRUE
no <- FALSE
expect_equal(d %>% summarise(n = n_distinct(x, na.rm = T)) %>% pull(), 4)
expect_equal(d %>% summarise(n = n_distinct(x, na.rm = F)) %>% pull(), 5)
expect_equal(d %>% summarise(n = n_distinct(x, na.rm = yes)) %>% pull(), 4)
expect_equal(d %>% summarise(n = n_distinct(x, na.rm = no)) %>% pull(), 5)
expect_equal(d %>% summarise(n = n_distinct(x, na.rm = TRUE || TRUE)) %>% pull(), 4)
})
test_that("n_distinct() respects .data (#5008)", {
expect_identical(
data.frame(x = 42) %>% summarise(n = n_distinct(.data$x)),
data.frame(n = 1L)
)
})
test_that("n_distinct() works with `{{ }}` (#5461)", {
wrapper <- function(data, col) {
summarise(data, result = n_distinct({{ col }}, na.rm = TRUE))
}
df <- data.frame(x = c(1, 1, 3, NA))
expect_identical(
wrapper(df, x),
data.frame(result = 2L)
)
})
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