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# ==================================================================== #
# TITLE #
# Antimicrobial Resistance (AMR) Data 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 data analysis: https://msberends.github.io/AMR/ #
# ==================================================================== #
b <- suppressWarnings(bug_drug_combinations(example_isolates))
expect_inherits(b, "bug_drug_combinations")
expect_stdout(suppressMessages(print(b)))
expect_true(is.data.frame(format(b)))
expect_true(is.data.frame(format(b, combine_IR = TRUE, add_ab_group = FALSE)))
if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
expect_true(example_isolates %>%
group_by(hospital_id) %>%
bug_drug_combinations(FUN = mo_gramstain) %>%
is.data.frame())
}