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44 lines
2.5 KiB
R
44 lines
2.5 KiB
R
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# ==================================================================== #
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# TITLE #
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# AMR: An R Package for Working with Antimicrobial Resistance Data #
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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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# CITE AS #
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# Berends MS, Luz CF, Friedrich AW, Sinha BNM, Albers CJ, Glasner C #
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# (2022). AMR: An R Package for Working with Antimicrobial Resistance #
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# Data. Journal of Statistical Software, 104(3), 1-31. #
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# doi:10.18637/jss.v104.i03 #
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# #
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# Developed at the University of Groningen and the University Medical #
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# Center Groningen in The Netherlands, in collaboration with many #
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# colleagues from around the world, see our website. #
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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_identical(as.mo("Enterobacter asburiae/cloacae"),
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as.mo("Enterobacter asburiae"))
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suppressMessages(
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add_custom_microorganisms(
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data.frame(mo = "ENT_ASB_CLO",
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genus = "Enterobacter",
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species = "asburiae/cloacae")
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)
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)
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expect_identical(as.character(as.mo("ENT_ASB_CLO")), "ENT_ASB_CLO")
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expect_identical(mo_name("ENT_ASB_CLO"), "Enterobacter asburiae/cloacae")
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expect_identical(mo_gramstain("ENT_ASB_CLO", language = NULL), "Gram-negative")
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