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New mo algorithm, prepare for 2.0
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@ -1,12 +1,16 @@
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# ==================================================================== #
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# TITLE #
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# Antimicrobial Resistance (AMR) Data Analysis for R #
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# AMR: An R Package for Working with Antimicrobial Resistance Data #
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# #
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# SOURCE #
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# https://github.com/msberends/AMR #
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# #
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# LICENCE #
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# (c) 2018-2022 Berends MS, Luz CF et al. #
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# CITE AS #
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# Berends MS, Luz CF, Friedrich AW, Sinha BNM, Albers CJ, Glasner C #
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# (2022). AMR: An R Package for Working with Antimicrobial Resistance #
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# Data. Journal of Statistical Software, 104(3), 1-31. #
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# doi:10.18637/jss.v104.i03 #
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# #
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# Developed at the University of Groningen, the Netherlands, in #
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# collaboration with non-profit organisations Certe Medical #
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# Diagnostics & Advice, and University Medical Center Groningen. #
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@ -62,7 +66,7 @@ italicise_taxonomy <- function(string, type = c("markdown", "ansi")) {
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FUN.VALUE = character(1),
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string,
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function(s) {
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s_split <- unlist(strsplit(s, " "))
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s_split <- unlist(strsplit(s, " ", fixed = TRUE))
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search_strings <- gsub("[^a-zA-Z-]", "", s_split)
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