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49 lines
3.2 KiB
R
49 lines
3.2 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 #
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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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# ------------------------------------------------
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# THIS FILE WAS CREATED AUTOMATICALLY!
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# Source file: data-raw/reproduction_of_poorman.R
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# ------------------------------------------------
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# {poorman}: a package to replace all dplyr functions with base R so we can lose dependency on {dplyr}.
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# These functions were downloaded from https://github.com/nathaneastwood/poorman,
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# from this commit: https://github.com/nathaneastwood/poorman/tree/{commit}.
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#
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# All functions are prefixed with 'pm_' to make it obvious that they are {dplyr} substitutes.
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#
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# All code below was released under MIT license, that permits 'free of charge, to any person obtaining a
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# copy of the software and associated documentation files (the "Software"), to deal in the Software
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# without restriction, including without limitation the rights to use, copy, modify, merge, publish,
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# distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software
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# is furnished to do so', given that a copyright notice is given in the software.
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#
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# Copyright notice on {date}, the day this code was downloaded, as found on
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# https://github.com/nathaneastwood/poorman/blob/{commit}/LICENSE:
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