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63 lines
1.7 KiB
R
63 lines
1.7 KiB
R
test_that("quatile_cut() works for detail.list==FALSE", {
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result <- quantile_cut(iris$Sepal.Length, 3, detail.list = FALSE)
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expect_equal(length(levels(result)), 3)
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expect_s3_class(result, "factor")
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})
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################################################################################
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test_that("quatile_cut() works for inc.outs==TRUE", {
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result <-
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quantile_cut(iris$Sepal.Length,
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3,
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y = iris$Sepal.Length + 3,
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inc.outs = FALSE)
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expect_true(any(is.na(result)))
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result <-
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quantile_cut(iris$Sepal.Length,
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3,
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y = iris$Sepal.Length + 3,
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inc.outs = TRUE)
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expect_false(any(is.na(result)))
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expect_equal(length(levels(result)), 3)
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expect_s3_class(result, "factor")
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})
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################################################################################
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test_that("quatile_cut() works for detail.list==TRUE", {
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result <- quantile_cut(iris$Sepal.Length, 3, detail.list = TRUE)
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expect_length(result, 2)
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expect_type(result, "list")
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})
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################################################################################
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# Test created using remotes::install_github("JamesHWade/gpttools")
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# unit test addin.
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test_that("quantile_cut works correctly", {
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x <- runif(100)
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groups <- 5
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y <- runif(100)
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expect_equal(
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quantile_cut(x, groups, y, na.rm = TRUE),
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cut(
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x,
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quantile(
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y,
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probs = seq(0, 1, 1 / groups),
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na.rm = TRUE,
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names = TRUE,
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type = 7
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),
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include.lowest = TRUE,
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labels = NULL,
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ordered_result = FALSE
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)
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)
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})
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################################################################################
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