mirror of https://github.com/msberends/AMR.git
45 lines
2.5 KiB
R
45 lines
2.5 KiB
R
# ==================================================================== #
|
|
# TITLE #
|
|
# Antimicrobial Resistance (AMR) Analysis for R #
|
|
# #
|
|
# SOURCE #
|
|
# https://github.com/msberends/AMR #
|
|
# #
|
|
# LICENCE #
|
|
# (c) 2018-2021 Berends MS, Luz CF et al. #
|
|
# Developed at the University of Groningen, the Netherlands, in #
|
|
# collaboration with non-profit organisations Certe Medical #
|
|
# Diagnostics & Advice, and University Medical Center Groningen. #
|
|
# #
|
|
# 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. #
|
|
# #
|
|
# Visit our website for the full manual and a complete tutorial about #
|
|
# how to conduct AMR analysis: https://msberends.github.io/AMR/ #
|
|
# ==================================================================== #
|
|
|
|
context("random.R")
|
|
|
|
test_that("random works", {
|
|
skip_on_cran()
|
|
|
|
expect_s3_class(random_mic(100), "mic")
|
|
expect_s3_class(random_mic(100, mo = "Klebsiella pneumoniae"), "mic")
|
|
expect_s3_class(random_mic(100, mo = "Klebsiella pneumoniae", ab = "meropenem"), "mic")
|
|
expect_s3_class(random_mic(100, ab = "meropenem"), "mic")
|
|
# no normal factors of 2
|
|
expect_s3_class(random_mic(100, "Haemophilus influenzae", "ceftaroline"), "mic")
|
|
|
|
expect_s3_class(random_disk(100), "disk")
|
|
expect_s3_class(random_disk(100, mo = "Klebsiella pneumoniae"), "disk")
|
|
expect_s3_class(random_disk(100, mo = "Klebsiella pneumoniae", ab = "meropenem"), "disk")
|
|
expect_s3_class(random_disk(100, ab = "meropenem"), "disk")
|
|
|
|
expect_s3_class(random_rsi(100), "rsi")
|
|
})
|