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43 lines
2.3 KiB
R
43 lines
2.3 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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expect_equal(guess_ab_col(example_isolates, "amox"),
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"AMX")
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expect_equal(guess_ab_col(example_isolates, "amoxicillin"),
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"AMX")
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expect_equal(guess_ab_col(example_isolates, "J01AA07"),
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"TCY")
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expect_equal(guess_ab_col(example_isolates, "tetracycline"),
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"TCY")
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expect_equal(guess_ab_col(example_isolates, "TETR"),
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"TCY")
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df <- data.frame(AMP_ND10 = "R",
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AMC_ED20 = "S")
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expect_equal(guess_ab_col(df, "ampicillin"),
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"AMP_ND10")
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expect_equal(guess_ab_col(df, "J01CR02"),
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"AMC_ED20")
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