2019-05-13 14:56:23 +02:00
|
|
|
# ==================================================================== #
|
|
|
|
|
# TITLE #
|
|
|
|
|
# Antidiskrobial Resistance (AMR) Analysis #
|
|
|
|
|
# #
|
|
|
|
|
# SOURCE #
|
2020-07-08 14:48:06 +02:00
|
|
|
# https://github.com/msberends/AMR #
|
2019-05-13 14:56:23 +02:00
|
|
|
# #
|
|
|
|
|
# LICENCE #
|
2020-12-27 00:30:28 +01:00
|
|
|
# (c) 2018-2021 Berends MS, Luz CF et al. #
|
2020-10-08 11:16:03 +02:00
|
|
|
# Developed at the University of Groningen, the Netherlands, in #
|
|
|
|
|
# collaboration with non-profit organisations Certe Medical #
|
|
|
|
|
# Diagnostics & Advice, and University Medical Center Groningen. #
|
2019-05-13 14:56:23 +02:00
|
|
|
# #
|
|
|
|
|
# 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. #
|
2020-01-05 17:22:09 +01:00
|
|
|
# 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. #
|
2020-10-08 11:16:03 +02:00
|
|
|
# #
|
|
|
|
|
# Visit our website for the full manual and a complete tutorial about #
|
|
|
|
|
# how to conduct AMR analysis: https://msberends.github.io/AMR/ #
|
2019-05-13 14:56:23 +02:00
|
|
|
# ==================================================================== #
|
|
|
|
|
|
|
|
|
|
context("disk.R")
|
|
|
|
|
|
|
|
|
|
test_that("disk works", {
|
2020-07-31 10:50:08 +02:00
|
|
|
skip_on_cran()
|
2019-05-13 14:56:23 +02:00
|
|
|
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
|
2020-09-25 14:44:50 +02:00
|
|
|
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")
|
2019-05-13 14:56:23 +02:00
|
|
|
expect_warning(as.disk("INVALID VALUE"))
|
2020-12-13 20:44:32 +01:00
|
|
|
x[2] <- 32
|
|
|
|
|
expect_s3_class(x, "disk")
|
2020-02-21 21:13:38 +01:00
|
|
|
|
2020-12-13 20:44:32 +01:00
|
|
|
pdf(NULL) # prevent Rplots.pdf being created
|
|
|
|
|
expect_silent(plot(as.disk(c(10, 20, 40))))
|
|
|
|
|
|
2020-02-21 21:13:38 +01:00
|
|
|
expect_output(print(as.disk(12)))
|
2020-09-26 16:26:01 +02:00
|
|
|
library(dplyr, warn.conflicts = FALSE)
|
2020-02-21 21:13:38 +01:00
|
|
|
expect_output(print(tibble(d = as.disk(12))))
|
2019-05-13 14:56:23 +02:00
|
|
|
|
|
|
|
|
})
|
