Nothing
# Long vectors with decimal numbers:
x1 <- iris$Petal.Length
x2 <- mtcars$qsec
x3 <- randu$y
x4 <- airquality$Wind
x5 <- attenu$accel
x6_digits <- rnorm(10000, 6, 3) %>%
censor(0, 13) %>%
round(0)
x6 <- rnorm(10000, 100, 15) %>%
round(x6_digits)
out_expected_x1 <- c(
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1,
1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1,
1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0,
1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0,
1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1
)
out_expected_x2 <- c(
2, 2, 2, 2, 2, 2, 2, 0, 1, 1, 1, 1, 1, 0, 2,
2, 2, 2, 2, 1, 2, 2, 1, 2, 2, 1, 1, 1, 1, 1,
1, 1
)
out_expected_x3 <- c(
6, 6, 6, 6, 6, 5, 5, 6, 6, 6, 6, 5, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 5,
6, 6, 6, 6, 6, 6, 6, 5, 6, 3, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 5, 6, 6, 6, 6, 5, 6,
6, 6, 6, 6, 6, 5, 6, 6, 6, 6, 6, 6, 6, 6, 5,
6, 6, 6, 6, 6, 6, 4, 6, 6, 6, 6, 6, 6, 5, 6,
5, 6, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 5, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 5, 6, 5, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 5, 6, 6, 6, 5, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 5, 6, 6, 6, 6, 6, 5, 6, 6, 6,
6, 4, 5, 6, 6, 6, 6, 6, 6, 4, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 5, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 5,
6, 6, 6, 6, 6, 5, 6, 6, 6, 6, 6, 6, 6, 6, 5,
6, 6, 6, 5, 6, 5, 6, 6, 6, 6, 6, 6, 6, 5, 6,
6, 6, 6, 6, 6, 6, 5, 5, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 5,
6, 6, 6, 6, 6, 5, 6, 6, 5, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6
)
out_expected_x4 <- c(
1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1,
0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1,
1, 0, 1
)
out_expected_x5 <- c(
3, 3, 3, 3, 3, 3, 3, 3, 2, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 2,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 1, 3, 3, 3, 3,
3, 3, 3, 3, 3, 2, 3, 3, 3, 3, 2, 3, 3, 3, 2,
3, 2, 2, 2, 2, 2, 3, 2, 3, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2,
3, 3, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2,
2, 2, 2, 2, 3, 2, 1, 2, 2, 3, 3, 3, 3, 2, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 3, 2, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 2, 3, 2, 2, 3, 2, 2, 3, 2, 2, 3,
3, 3
)
test_that("`decimal_places()` counts accurately", {
x1 %>% decimal_places() %>% expect_equal(out_expected_x1)
x2 %>% decimal_places() %>% expect_equal(out_expected_x2)
x3 %>% decimal_places() %>% expect_equal(out_expected_x3)
x4 %>% decimal_places() %>% expect_equal(out_expected_x4)
x5 %>% decimal_places() %>% expect_equal(out_expected_x5)
})
out_scalar_x1 <- x1 %>% purrr::map_int(decimal_places_scalar)
out_scalar_x2 <- x2 %>% purrr::map_int(decimal_places_scalar)
out_scalar_x3 <- x3 %>% purrr::map_int(decimal_places_scalar)
out_scalar_x4 <- x4 %>% purrr::map_int(decimal_places_scalar)
out_scalar_x5 <- x5 %>% purrr::map_int(decimal_places_scalar)
out_scalar_x6 <- x6 %>% purrr::map_int(decimal_places_scalar)
test_that("Both functions return the same count for each individual number", {
x1 %>% decimal_places() %>% expect_equal(out_scalar_x1)
x2 %>% decimal_places() %>% expect_equal(out_scalar_x2)
x3 %>% decimal_places() %>% expect_equal(out_scalar_x3)
x4 %>% decimal_places() %>% expect_equal(out_scalar_x4)
x5 %>% decimal_places() %>% expect_equal(out_scalar_x5)
x6 %>% decimal_places() %>% expect_equal(out_scalar_x6)
})
test_that("`decimal_places_scalar()` conditions work as expected", {
25 %>% decimal_places_scalar() %>% expect_identical(0L)
2.7 %>% decimal_places_scalar() %>% expect_identical(1L)
NA %>% decimal_places_scalar() %>% expect_identical(NA_integer_)
NA %>% decimal_places_scalar() %>% is.na() %>% expect_true()
})
iris <- iris %>%
tibble::as_tibble() %>%
dplyr::mutate(dplyr::across(everything(), as.character)) %>%
dplyr::slice(1:5)
iris_counted <- decimal_places_df(iris[1:4])
test_that("", {
iris_counted[[1]] %>% expect_equal(as.integer(c(1, 1, 1, 1, 0)))
iris_counted[[2]] %>% expect_equal(as.integer(c(1, 0, 1, 1, 1)))
iris_counted[[3]] %>% expect_equal(as.integer(c(1, 1, 1, 1, 1)))
iris_counted[[4]] %>% expect_equal(as.integer(c(1, 1, 1, 1, 1)))
})
test_that("`decimal_places_df()` throws a warning if and only if it should", {
iris %>% decimal_places_df() %>% expect_warning()
iris %>% dplyr::select(1:4) %>% decimal_places_df() %>% expect_no_warning()
iris %>% decimal_places_df(check_numeric_like = FALSE) %>% expect_warning()
iris %>% dplyr::select(1:4) %>% decimal_places_df(check_numeric_like = FALSE) %>% expect_no_warning()
})
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