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AMR/tests/testthat/test-disk.R

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# ==================================================================== #
# TITLE #
# Antidiskrobial Resistance (AMR) Analysis #
# #
# SOURCE #
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# https://github.com/msberends/AMR #
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# #
# LICENCE #
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# (c) 2018-2021 Berends MS, Luz CF et al. #
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# Developed at the University of Groningen, the Netherlands, in #
# collaboration with non-profit organisations Certe Medical #
# Diagnostics & Advice, and University Medical Center Groningen. #
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# #
# 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. #
# We created this package for both routine data analysis and academic #
# research and it was publicly released in the hope that it will be #
# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. #
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# #
# Visit our website for the full manual and a complete tutorial about #
# how to conduct AMR data analysis: https://msberends.github.io/AMR/ #
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# ==================================================================== #
context("disk.R")
test_that("disk works", {
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skip_on_cran()
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expect_true(as.disk(8) == as.disk("8"))
expect_true(is.disk(as.disk(8)))
expect_equal(suppressWarnings(as.logical(as.disk("INVALID VALUE"))), NA)
# all levels should be valid disks
x <- as.disk(c(20, 40))
expect_s3_class(x[1], "disk")
expect_s3_class(x[[1]], "disk")
expect_s3_class(c(x[1], x[9]), "disk")
expect_s3_class(unique(x[1], x[9]), "disk")
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expect_warning(as.disk("INVALID VALUE"))
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x[2] <- 32
expect_s3_class(x, "disk")
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pdf(NULL) # prevent Rplots.pdf being created
expect_silent(barplot(as.disk(c(10, 20, 40))))
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expect_silent(plot(as.disk(c(10, 20, 40))))
expect_silent(plot(as.disk(c(10, 20, 40)), expand = FALSE))
expect_silent(plot(as.disk(c(10, 20, 40)), mo = "esco", ab = "cipr"))
if (require("ggplot2")) {
expect_s3_class(ggplot(as.disk(c(10, 20, 40))), "gg")
expect_s3_class(ggplot(as.disk(c(10, 20, 40)), expand = FALSE), "gg")
expect_s3_class(ggplot(as.disk(c(10, 20, 40)), mo = "esco", ab = "cipr"), "gg")
}
expect_output(print(as.disk(12)))
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library(dplyr, warn.conflicts = FALSE)
expect_output(print(tibble(d = as.disk(12))))
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})