2018-12-16 22:45:12 +01:00
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# ==================================================================== #
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2023-07-08 17:30:05 +02:00
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# TITLE: #
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# AMR: An R Package for Working with Antimicrobial Resistance Data #
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2018-12-16 22:45:12 +01:00
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# #
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2023-07-08 17:30:05 +02:00
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# SOURCE CODE: #
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2020-07-08 14:48:06 +02:00
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# https://github.com/msberends/AMR #
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2018-12-16 22:45:12 +01:00
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# #
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# PLEASE CITE THIS SOFTWARE AS: #
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2022-10-05 09:12:22 +02:00
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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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2023-05-27 10:39:22 +02:00
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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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2018-12-16 22:45:12 +01:00
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# #
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2019-01-02 23:24:07 +01:00
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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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2020-01-05 17:22:09 +01:00
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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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2020-10-08 11:16:03 +02:00
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# #
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# Visit our website for the full manual and a complete tutorial about #
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2021-02-02 23:57:35 +01:00
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# how to conduct AMR data analysis: https://msberends.github.io/AMR/ #
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2018-12-16 22:45:12 +01:00
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# ==================================================================== #
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2021-05-15 21:36:22 +02:00
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expect_equal(skewness(example_isolates$age),
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2022-08-28 10:31:50 +02:00
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-1.212888,
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tolerance = 0.00001
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)
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expect_equal(unname(skewness(data.frame(example_isolates$age))),
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-1.212888,
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tolerance = 0.00001
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)
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expect_equal(skewness(matrix(example_isolates$age)),
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-1.212888,
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tolerance = 0.00001
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)
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