AMR/R/vctrs.R

99 lines
3.3 KiB
R

# ==================================================================== #
# TITLE #
# Antimicrobial Resistance (AMR) Data Analysis for R #
# #
# SOURCE #
# https://github.com/msberends/AMR #
# #
# LICENCE #
# (c) 2018-2022 Berends MS, Luz CF et al. #
# Developed at the University of Groningen, the Netherlands, in #
# collaboration with non-profit organisations Certe Medical #
# Diagnostics & Advice, and University Medical Center Groningen. #
# #
# This R package is free software; you can freely use and distribute #
# it for both personal and commercial purposes under the terms of the #
# GNU General Public License version 2.0 (GNU GPL-2), as published by #
# the Free Software Foundation. #
# We created this package for both routine data analysis and academic #
# research and it was publicly released in the hope that it will be #
# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. #
# #
# Visit our website for the full manual and a complete tutorial about #
# how to conduct AMR data analysis: https://msberends.github.io/AMR/ #
# ==================================================================== #
# These are all S3 implementations for the vctrs package,
# that is used internally by tidyverse packages such as dplyr.
# They are to convert AMR-specific classes to bare characters and integers.
# All of them will be exported using s3_register() in R/zzz.R when loading the package.
# see https://github.com/tidyverse/dplyr/issues/5955 why this is required
# S3: ab_selector
vec_ptype2.character.ab_selector <- function(x, y, ...) {
x
}
vec_ptype2.ab_selector.character <- function(x, y, ...) {
y
}
vec_cast.character.ab_selector <- function(x, to, ...) {
unclass(x)
}
# S3: ab_selector_any_all
vec_ptype2.logical.ab_selector_any_all <- function(x, y, ...) {
x
}
vec_ptype2.ab_selector_any_all.logical <- function(x, y, ...) {
y
}
vec_cast.logical.ab_selector_any_all <- function(x, to, ...) {
unclass(x)
}
# S3: ab
vec_ptype2.character.ab <- function(x, y, ...) {
x
}
vec_ptype2.ab.character <- function(x, y, ...) {
y
}
vec_cast.character.ab <- function(x, to, ...) {
unclass(x)
}
# S3: mo
vec_ptype2.character.mo <- function(x, y, ...) {
x
}
vec_ptype2.mo.character <- function(x, y, ...) {
y
}
vec_cast.character.mo <- function(x, to, ...) {
unclass(x)
}
# S3: disk
vec_ptype2.integer.disk <- function(x, y, ...) {
x
}
vec_ptype2.disk.integer <- function(x, y, ...) {
y
}
vec_cast.integer.disk <- function(x, to, ...) {
unclass(x)
}
# S3: mic
vec_cast.character.mic <- function(x, to, ...) {
as.character(x)
}
vec_cast.double.mic <- function(x, to, ...) {
# this calls as.double.mic()
as.double(x)
}
vec_math.mic <- function(.fn, x, ...) {
.fn(as.double(x), ...)
}