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45 lines
2.3 KiB
R
45 lines
2.3 KiB
R
# ==================================================================== #
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# TITLE #
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# Antimicrobial Resistance (AMR) 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 analysis: https://msberends.github.io/AMR/ #
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# ==================================================================== #
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context("isolate_identifier.R")
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test_that("isolate_identifier works", {
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x <- suppressMessages(isolate_identifier(example_isolates))
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expect_s3_class(x, "isolate_identifier")
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expect_s3_class(x, "character")
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expect_equal(suppressMessages(
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unique(nchar(isolate_identifier(example_isolates, cols_ab = carbapenems(), col_mo = FALSE)))),
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2)
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expect_warning(isolate_identifier(example_isolates[, 1:3, drop = FALSE])) # without mo and without rsi
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expect_warning(isolate_identifier(example_isolates[, 1:9, drop = FALSE])) # only without rsi
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expect_output(print(x))
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expect_s3_class(unique(c(x, x)), "isolate_identifier")
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})
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