mirror of
https://github.com/msberends/AMR.git
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75 lines
2.8 KiB
R
75 lines
2.8 KiB
R
# ==================================================================== #
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# TITLE #
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# Antimicrobial Resistance (AMR) Data 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) 2018-2022 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 data analysis: https://msberends.github.io/AMR/ #
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# ==================================================================== #
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# These are all S3 implementations for the vctrs package,
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# that is used internally by tidyverse packages such as dplyr.
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# They are to convert AMR-specific classes to bare characters and integers.
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# All of them will be exported using s3_register() in R/zzz.R when loading the package.
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# S3: ab_selector
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# see https://github.com/tidyverse/dplyr/issues/5955 why this is required
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vec_ptype2.character.ab_selector <- function(x, y, ...) {
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x
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}
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vec_ptype2.ab_selector.character <- function(x, y, ...) {
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y
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}
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vec_cast.character.ab_selector <- function(x, to, ...) {
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unclass(x)
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}
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# S3: ab
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vec_ptype2.character.ab <- function(x, y, ...) {
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x
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}
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vec_ptype2.ab.character <- function(x, y, ...) {
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y
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}
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vec_cast.character.ab <- function(x, to, ...) {
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unclass(x)
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}
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# S3: mo
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vec_ptype2.character.mo <- function(x, y, ...) {
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x
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}
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vec_ptype2.mo.character <- function(x, y, ...) {
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y
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}
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vec_cast.character.mo <- function(x, to, ...) {
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unclass(x)
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}
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# S3: disk
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vec_ptype2.integer.disk <- function(x, y, ...) {
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x
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}
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vec_ptype2.disk.integer <- function(x, y, ...) {
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y
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}
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vec_cast.integer.disk <- function(x, to, ...) {
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unclass(x)
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}
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