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45 lines
2.5 KiB
R
45 lines
2.5 KiB
R
# ==================================================================== #
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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 CODE: #
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# https://github.com/msberends/AMR #
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# #
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# PLEASE CITE THIS SOFTWARE AS: #
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# Berends MS, Luz CF, Friedrich AW, et al. (2022). #
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# AMR: An R Package for Working with Antimicrobial Resistance Data. #
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# Journal of Statistical Software, 104(3), 1-31. #
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# https://doi.org/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://amr-for-r.org #
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# ==================================================================== #
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test_that("test-_deprecated.R", {
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skip_on_cran()
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if (getRversion() > "4.0.0") {
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expect_warning(example_isolates[, ab_class("mycobact")])
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expect_warning(example_isolates[, ab_selector(name %like% "trim")])
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# deprecated custom_interpretive_rules() still works and emits a warning
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expect_warning(
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x_old <- custom_eucast_rules(AMC == "R" ~ aminopenicillins == "R"),
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regexp = "custom_eucast_rules"
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)
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expect_inherits(x_old, "custom_interpretive_rules")
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}
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})
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