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AMR/R/export_biosample.R

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# ==================================================================== #
# TITLE: #
# AMR: An R Package for Working with Antimicrobial Resistance Data #
# #
# SOURCE CODE: #
# https://github.com/msberends/AMR #
# #
# PLEASE CITE THIS SOFTWARE AS: #
# Berends MS, Luz CF, Friedrich AW, et al. (2022). #
# AMR: An R Package for Working with Antimicrobial Resistance Data. #
# Journal of Statistical Software, 104(3), 1-31. #
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# https://doi.org/10.18637/jss.v104.i03 #
# #
# Developed at the University of Groningen and the University Medical #
# Center Groningen in The Netherlands, in collaboration with many #
# colleagues from around the world, see our website. #
# #
# 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/ #
# ==================================================================== #
#' Export Data Set as NCBI BioSample Antibiogram
#'
#'
#' @param x a data set
#' @param filename a character string specifying the file name
#' @param type a character string specifying the type of data set, either "pathogen MIC" or "beta-lactamase MIC", see <https://www.ncbi.nlm.nih.gov/biosample/docs/>
#' @keywords internal
export_ncbi_biosample <- function(x,
filename = paste0("biosample_", format(Sys.time(), "%Y-%m-%d-%H%M%S"), ".xlsx"),
type = "pathogen MIC",
columns = where(is.mic),
save_as_xlsx = TRUE) {
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meet_criteria(x, allow_class = "data.frame") # also checks dimensions to be >0
meet_criteria(filename, allow_class = "character", has_length = 1)
meet_criteria(type, allow_class = "character", has_length = 1, is_in = c("pathogen MIC", "beta-lactamase MIC"))
meet_criteria(save_as_xlsx, allow_class = "logical", has_length = 1)
out <- x %pm>%
pm_select(columns)
stop_if(NROW(out) == 0, "No columns found.")
if (isTRUE(save_as_xlsx)) {
export <- import_fn("write.xlsx", pkg = "openxlsx", error_on_fail = TRUE)
export(out, file = filename, overwrite = TRUE, asTable = FALSE)
} else {
out
}
}