mirror of https://github.com/msberends/AMR.git
59 lines
2.8 KiB
R
59 lines
2.8 KiB
R
|
# ==================================================================== #
|
||
|
# TITLE #
|
||
|
# Antimicrobial Resistance (AMR) Analysis #
|
||
|
# #
|
||
|
# SOURCE #
|
||
|
# https://gitlab.com/msberends/AMR #
|
||
|
# #
|
||
|
# LICENCE #
|
||
|
# (c) 2019 Berends MS (m.s.berends@umcg.nl), Luz CF (c.f.luz@umcg.nl) #
|
||
|
# #
|
||
|
# 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. #
|
||
|
# #
|
||
|
# This R package was created for academic research and 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. #
|
||
|
# ==================================================================== #
|
||
|
|
||
|
#' @rdname portion
|
||
|
#' @rdname count
|
||
|
#' @importFrom dplyr %>% select_if bind_rows summarise_if mutate group_vars select everything
|
||
|
#' @export
|
||
|
rsi_df <- function(data,
|
||
|
translate_ab = "name",
|
||
|
language = get_locale(),
|
||
|
minimum = 30,
|
||
|
as_percent = FALSE,
|
||
|
combine_SI = TRUE,
|
||
|
combine_IR = FALSE) {
|
||
|
|
||
|
portions <- rsi_calc_df(type = "portion",
|
||
|
data = data,
|
||
|
translate_ab = translate_ab,
|
||
|
language = language,
|
||
|
minimum = minimum,
|
||
|
as_percent = as_percent,
|
||
|
combine_SI = combine_SI,
|
||
|
combine_IR = combine_IR,
|
||
|
combine_SI_missing = missing(combine_SI))
|
||
|
|
||
|
counts <- rsi_calc_df(type = "count",
|
||
|
data = data,
|
||
|
translate_ab = FALSE,
|
||
|
language = "en",
|
||
|
minimum = minimum,
|
||
|
as_percent = as_percent,
|
||
|
combine_SI = combine_SI,
|
||
|
combine_IR = combine_IR,
|
||
|
combine_SI_missing = missing(combine_SI))
|
||
|
|
||
|
data.frame(portions,
|
||
|
isolates = counts$value,
|
||
|
stringsAsFactors = FALSE)
|
||
|
|
||
|
}
|