AMR/R/freq.R

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3.7 KiB
R
Executable File

# ==================================================================== #
# TITLE #
# Antimicrobial Resistance (AMR) Analysis #
# #
# SOURCE #
# https://gitlab.com/msberends/AMR #
# #
# LICENCE #
# (c) 2018-2020 Berends MS, Luz CF et al. #
# #
# 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 more info: https://msberends.gitlab.io/AMR. #
# ==================================================================== #
#' @importFrom cleaner freq
#' @export
cleaner::freq
#' @exportMethod freq.mo
#' @importFrom cleaner freq.default
#' @export
#' @noRd
freq.mo <- function(x, ...) {
x_noNA <- as.mo(x[!is.na(x)]) # as.mo() to get the newest mo codes
grams <- mo_gramstain(x_noNA, language = NULL)
digits <- list(...)$digits
if (is.null(digits)) {
digits <- 2
}
freq.default(x = x, ...,
.add_header = list(`Gram-negative` = paste0(format(sum(grams == "Gram-negative", na.rm = TRUE),
big.mark = ",",
decimal.mark = "."),
" (", percentage(sum(grams == "Gram-negative", na.rm = TRUE) / length(grams), digits = digits),
")"),
`Gram-positive` = paste0(format(sum(grams == "Gram-positive", na.rm = TRUE),
big.mark = ",",
decimal.mark = "."),
" (", percentage(sum(grams == "Gram-positive", na.rm = TRUE) / length(grams), digits = digits),
")"),
`No of genera` = n_distinct(mo_genus(x_noNA, language = NULL)),
`No of species` = n_distinct(paste(mo_genus(x_noNA, language = NULL),
mo_species(x_noNA, language = NULL)))))
}
#' @exportMethod freq.rsi
#' @importFrom cleaner freq.default
#' @export
#' @noRd
freq.rsi <- function(x, ...) {
x_name <- deparse(substitute(x))
x_name <- gsub(".*[$]", "", x_name)
ab <- suppressMessages(suppressWarnings(as.ab(x_name)))
if (!is.na(ab)) {
freq.default(x = x, ...,
.add_header = list(Drug = paste0(ab_name(ab), " (", ab, ", ", ab_atc(ab), ")"),
group = ab_group(ab),
`%SI` = susceptibility(x, minimum = 0, as_percent = TRUE)))
} else {
freq.default(x = x, ...,
.add_header = list(`%SI` = susceptibility(x, minimum = 0, as_percent = TRUE)))
}
}