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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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@ -123,8 +127,6 @@ anti_join_microorganisms <- function(x, by = NULL, ...) {
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}
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join_microorganisms <- function(type, x, by, suffix, ...) {
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check_dataset_integrity()
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if (!is.data.frame(x)) {
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if (pkg_is_available("tibble", also_load = FALSE)) {
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x <- import_fn("tibble", "tibble")(mo = x)
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