2021-05-03 10:47:32 +02:00
# ==================================================================== #
# TITLE #
# Antimicrobial Resistance (AMR) Data Analysis for R #
# #
# SOURCE #
# https://github.com/msberends/AMR #
# #
# LICENCE #
# (c) 2018-2021 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/ #
# ==================================================================== #
#' Italicise Taxonomic Families, Genera, Species, Subspecies
#'
#' According to the binomial nomenclature, the lowest four taxonomic levels (family, genus, species, subspecies) should be printed in italic. This function finds taxonomic names within strings and makes them italic.
#' @inheritSection lifecycle Maturing Lifecycle
2021-05-12 18:15:03 +02:00
#' @param string a [character] (vector)
2021-05-03 10:47:32 +02:00
#' @param type type of conversion of the taxonomic names, either "markdown" or "ansi", see *Details*
#' @details
#' This function finds the taxonomic names and makes them italic based on the [microorganisms] data set.
#'
#' The taxonomic names can be italicised using markdown (the default) by adding `*` before and after the taxonomic names, or using ANSI colours by adding `\033[3m` before and `\033[23m` after the taxonomic names. If multiple ANSI colours are not available, no conversion will occur.
#'
#' This function also supports abbreviation of the genus if it is followed by a species, such as "E. coli" and "K. pneumoniae ozaenae".
#' @inheritSection AMR Read more on Our Website!
#' @export
#' @examples
#' italicise_taxonomy("An overview of Staphylococcus aureus isolates")
#' italicise_taxonomy("An overview of S. aureus isolates")
#'
#' cat(italicise_taxonomy("An overview of S. aureus isolates", type = "ansi"))
2021-05-12 18:15:03 +02:00
#'
#' # since ggplot2 supports no markdown (yet), use
#' # italicise_taxonomy() and the `ggtext` pkg for titles:
2021-05-24 09:00:11 +02:00
#' \donttest{
2021-05-12 18:15:03 +02:00
#' if (require("ggplot2") && require("ggtext")) {
#' ggplot(example_isolates$AMC,
#' title = italicise_taxonomy("Amoxi/clav in E. coli")) +
#' theme(plot.title = ggtext::element_markdown())
#' }
2021-05-24 09:00:11 +02:00
#' }
2021-05-03 10:47:32 +02:00
italicise_taxonomy <- function ( string , type = c ( " markdown" , " ansi" ) ) {
if ( missing ( type ) ) {
type <- " markdown"
}
meet_criteria ( string , allow_class = " character" )
meet_criteria ( type , allow_class = " character" , has_length = 1 , is_in = c ( " markdown" , " ansi" ) )
if ( type == " markdown" ) {
before <- " *"
after <- " *"
} else if ( type == " ansi" ) {
if ( ! has_colour ( ) ) {
return ( string )
}
before <- " \033[3m"
after <- " \033[23m"
}
vapply ( FUN.VALUE = character ( 1 ) ,
string ,
function ( s ) {
s_split <- unlist ( strsplit ( s , " " ) )
search_strings <- gsub ( " [^a-zA-Z-]" , " " , s_split )
ind_species <- search_strings != " " &
search_strings %in% MO_lookup [which ( MO_lookup $ rank %in% c ( " family" ,
" genus" ,
" species" ,
" subspecies" ,
" infraspecies" ,
" subsp." ) ) ,
" species" ,
drop = TRUE ]
ind_fullname <- search_strings != " " &
search_strings %in% c ( MO_lookup [which ( MO_lookup $ rank %in% c ( " family" ,
" genus" ,
" species" ,
" subspecies" ,
" infraspecies" ,
" subsp." ) ) ,
" fullname" ,
drop = TRUE ] ,
MO_lookup [which ( MO_lookup $ rank %in% c ( " family" ,
" genus" ,
" species" ,
" subspecies" ,
" infraspecies" ,
" subsp." ) ) ,
" subspecies" ,
drop = TRUE ] )
# also support E. coli, add "E." to indices
has_previous_genera_abbr <- s_split [which ( ind_species ) - 1 ] %like_case% " ^[A-Z][.]?$"
ind_species <- c ( which ( ind_species ) , which ( ind_species ) [has_previous_genera_abbr ] - 1 )
ind <- c ( ind_species , which ( ind_fullname ) )
s_split [ind ] <- paste0 ( before , s_split [ind ] , after )
s_paste <- paste ( s_split , collapse = " " )
# clean up a bit
s_paste <- gsub ( paste0 ( after , " " , before ) , " " , s_paste , fixed = TRUE )
s_paste
} ,
USE.NAMES = FALSE )
}
#' @rdname italicise_taxonomy
#' @export
italicize_taxonomy <- function ( string , type = c ( " markdown" , " ansi" ) ) {
2021-05-03 13:06:43 +02:00
if ( missing ( type ) ) {
type <- " markdown"
}
italicise_taxonomy ( string = string , type = type )
2021-05-03 10:47:32 +02:00
}