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37 lines
2.2 KiB
R
37 lines
2.2 KiB
R
# ==================================================================== #
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# TITLE #
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# Antimicrobial Resistance (AMR) Data Analysis for R #
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# #
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# SOURCE #
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# https://github.com/msberends/AMR #
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# #
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# LICENCE #
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# (c) 2018-2022 Berends MS, Luz CF et al. #
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# Developed at the University of Groningen, the Netherlands, in #
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# collaboration with non-profit organisations Certe Medical #
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# Diagnostics & Advice, and University Medical Center Groningen. #
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# #
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# This R package is free software; you can freely use and distribute #
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# it for both personal and commercial purposes under the terms of the #
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# GNU General Public License version 2.0 (GNU GPL-2), as published by #
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# the Free Software Foundation. #
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# We created this package for both routine data analysis and academic #
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# research and it was publicly released in the hope that it will be #
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# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. #
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# #
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# Visit our website for the full manual and a complete tutorial about #
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# how to conduct AMR data analysis: https://msberends.github.io/AMR/ #
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# ==================================================================== #
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b <- suppressWarnings(bug_drug_combinations(example_isolates))
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expect_inherits(b, "bug_drug_combinations")
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expect_stdout(suppressMessages(print(b)))
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expect_true(is.data.frame(format(b)))
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expect_true(is.data.frame(format(b, combine_IR = TRUE, add_ab_group = FALSE)))
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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expect_true(example_isolates %>%
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group_by(hospital_id) %>%
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bug_drug_combinations(FUN = mo_gramstain) %>%
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is.data.frame())
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}
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