# ==================================================================== #
# TITLE #
# cleaner: Fast and Easy Data Cleaning #
# #
# SOURCE #
# https://github.com/msberends/cleaner #
# #
# LICENCE #
# (c) 2022 Berends MS (m.s.berends@umcg.nl) #
# #
# This R package is free software; you can freely use and distribute #
# it for both personal and commercial purposes under the terms of the #
# GNU General Public License version 2.0 (GNU GPL-2), as published by #
# the Free Software Foundation. #
# #
# This R package was publicly released in the hope that it will be #
# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. #
# ==================================================================== #
context("freq.R")
test_that("frequency table works", {
expect_equal(nrow(freq(c(1, 1, 2, 2, 3, 3, 4, 4, 5, 5))), 5)
nrs <- as.integer(runif(2000, min = 0, max = 20))
expect_output(print(freq(nrs)))
expect_output(print(freq(nrs, nmax = 5)))
expect_output(print(freq(nrs, nmax = Inf, markdown = FALSE)))
expect_output(print(freq(nrs, nmax = Inf)))
expect_output(print(freq(nrs, nmax = NA)))
expect_output(print(freq(nrs, nmax = NULL)))
expect_output(print(freq(nrs, sort.count = FALSE)))
expect_output(print(freq(nrs, markdown = TRUE)))
expect_output(print(freq(nrs, markdown = TRUE), markdown = FALSE))
expect_output(print(freq(nrs, markdown = TRUE), markdown = TRUE))
expect_output(print(freq(nrs, quote = TRUE)))
# character
expect_output(print(freq(unclean$gender)))
# with weights
df <- data.frame(x = sample(letters, size = 100, replace = TRUE),
y = round(runif(100) * 100))
expect_gt(sum(freq(df, wt = y)$count),
sum(freq(df)$count))
})
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