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36 lines
2.2 KiB
36 lines
2.2 KiB
# ==================================================================== # |
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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) 2018-2021 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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