Nothing
# Create a sample dataframe for testing
sample_data <- data.frame(
Var1 = c(1, 2, 3, 4, NA, 6, 7, 8, 9),
Var2 = c(10, 20, 30, 40, NA, 60, 70, 80, 90)
)
# Test case 1: Check if the function calculates summary statistics correctly
test_that("Calculate summary statistics for numeric variables", {
result <- cont_desc_stats(sample_data)
# Check if the result is a dataframe
expect_type(result, "list")
# Check if the dataframe contains the expected columns
expect_true("Variable" %in% colnames(result))
# Check if all stats names are here
all_stats <- c("n_uni", "min", "max", "q25", "median", "max", "mean", "sd")
expect_true(all(sapply(all_stats, function(x) grepl(x, result$stats))))
# Check if the summary statistics are calculated correctly
expect_true(sum(c("n_uni = 9.00 <br> min = 1.00 <br> q25 = 2.75 <br> median = 5.00 <br> q75 = 7.25 <br> max = 9.00 <br> mean = 5.00 <br> sd = 2.93",
"n_uni = 9.00 <br> min = 10.00 <br> q25 = 27.50 <br> median = 50.00 <br> q75 = 72.50 <br> max = 90.00 <br> mean = 50.00 <br> sd = 29.28")
== result$stats)==2)
expect_true(sum(c("Var1", "Var2") == result$Variable)==2)
})
# Test case 2: Check if the function handles custom variable selection
test_that("Handle custom variable selection", {
result <- cont_desc_stats(sample_data, select_vars = "Var1")
# Check if the result is a dataframe
expect_type(result, "list")
# Check if the dataframe contains only one variable
expect_equal(nrow(result), 1)
# Check if the variable name matches the selected variable
expect_equal(result$Variable, "Var1")
})
# Test case 3: Check if the function handles n_unique_thres argument
test_that("Handle n_unique_thres argument", {
result <- cont_desc_stats(sample_data, n_unique_thres = 10)
expect_null(result)
})
# Test case 4: Check if the function handles empty dataframe correctly
test_that("Handle empty dataframe", {
empty_data <- data.frame()
result <- cont_desc_stats(empty_data)
expect_null(result)
})
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