mirror of https://github.com/msberends/AMR.git
1083 lines
49 KiB
R
Executable File
1083 lines
49 KiB
R
Executable File
# ==================================================================== #
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# TITLE #
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# Antimicrobial Resistance (AMR) Analysis #
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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) 2018-2020 Berends MS, Luz CF et al. #
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# #
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# This R package is free software; you can freely use and distribute #
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# it for both personal and commercial purposes under the terms of the #
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# GNU General Public License version 2.0 (GNU GPL-2), as published by #
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# the Free Software Foundation. #
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# #
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# We created this package for both routine data analysis and academic #
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# research and it was publicly released in the hope that it will be #
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# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. #
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# Visit our website for more info: https://msberends.github.io/AMR. #
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# ==================================================================== #
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# add new version numbers here, and add the rules themselves to "data-raw/eucast_rules.tsv"
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# (running "data-raw/internals.R" will process that TSV file)
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EUCAST_VERSION_BREAKPOINTS <- list("10.0" = list(version_txt = "v10.0",
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year = 2020,
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title = "EUCAST Clinical Breakpoints"))
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EUCAST_VERSION_EXPERT_RULES <- list("3.1" = list(version_txt = "v3.1",
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year = 2016,
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title = "EUCAST Expert Rules, Intrinsic Resistance and Exceptional Phenotypes"),
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"3.2" = list(version_txt = "v3.2",
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year = 2020,
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title = "EUCAST Expert Rules / EUCAST Intrinsic Resistance and Unusual Phenotypes"))
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#' Apply EUCAST rules
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#'
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#' @description
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#' Apply rules for clinical breakpoints and intrinsic resistance as defined by the European Committee on Antimicrobial Susceptibility Testing (EUCAST, <https://eucast.org>), see *Source*.
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#'
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#' To improve the interpretation of the antibiogram before EUCAST rules are applied, some non-EUCAST rules can applied at default, see Details.
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#' @inheritSection lifecycle Stable lifecycle
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#' @param x data with antibiotic columns, such as `amox`, `AMX` and `AMC`
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#' @param info print progress
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#' @param rules a character vector that specifies which rules should be applied. Must be one or more of `"breakpoints"`, `"expert"`, `"other"`, `"all"`, and defaults to `c("breakpoints", "expert")`. The default value can be set to another value, e.g. using `options(AMR_eucastrules = "all")`.
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#' @param verbose a [logical] to turn Verbose mode on and off (default is off). In Verbose mode, the function does not apply rules to the data, but instead returns a data set in logbook form with extensive info about which rows and columns would be effected and in which way. Using Verbose mode takes a lot more time.
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#' @param version_breakpoints the version number to use for the EUCAST Clinical Breakpoints guideline
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#' @param version_expertrules the version number to use for the EUCAST Expert Rules and Intrinsic Resistance guideline
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#' @param ... column name of an antibiotic, please see section *Antibiotics* below
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#' @inheritParams first_isolate
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#' @details
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#' **Note:** This function does not translate MIC values to RSI values. Use [as.rsi()] for that. \cr
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#' **Note:** When ampicillin (AMP, J01CA01) is not available but amoxicillin (AMX, J01CA04) is, the latter will be used for all rules where there is a dependency on ampicillin. These drugs are interchangeable when it comes to expression of antimicrobial resistance.
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#'
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#' The file containing all EUCAST rules is located here: <https://github.com/msberends/AMR/blob/master/data-raw/eucast_rules.tsv>.
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#'
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#' ## 'Other' rules
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#'
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#' Before further processing, two non-EUCAST rules about drug combinations can be applied to improve the efficacy of the EUCAST rules, and the reliability of your data (analysis). These rules are:
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#'
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#' 1. A drug **with** enzyme inhibitor will be set to S if the same drug **without** enzyme inhibitor is S
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#' 2. A drug **without** enzyme inhibitor will be set to R if the same drug **with** enzyme inhibitor is R
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#'
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#' Important examples include amoxicillin and amoxicillin/clavulanic acid, and trimethoprim and trimethoprim/sulfamethoxazole. Needless to say, for these rules to work, both drugs must be available in the data set.
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#'
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#' Since these rules are not officially approved by EUCAST, they are not applied at default. To use these rules, include `"other"` to the `rules` parameter, or use `eucast_rules(..., rules = "all")`.
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#' @section Antibiotics:
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#' To define antibiotics column names, leave as it is to determine it automatically with [guess_ab_col()] or input a text (case-insensitive), or use `NULL` to skip a column (e.g. `TIC = NULL` to skip ticarcillin). Manually defined but non-existing columns will be skipped with a warning.
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#'
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#' The following antibiotics are used for the functions [eucast_rules()] and [mdro()]. These are shown below in the format 'name (`antimicrobial ID`, [ATC code](https://www.whocc.no/atc/structure_and_principles/))', sorted alphabetically:
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#'
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#' `r create_ab_documentation(c("AMC", "AMK", "AMP", "AMX", "ATM", "AVO", "AZL", "AZM", "BAM", "BPR", "CAC", "CAP", "CAT", "CAZ", "CCV", "CDR", "CDZ", "CEC", "CED", "CEI", "CEP", "CFM", "CFM1", "CFP", "CFR", "CFS", "CHL", "CID", "CIP", "CLI", "CLR", "CMX", "CMZ", "CND", "COL", "CPD", "CPM", "CPO", "CPR", "CPT", "CRB", "CRD", "CRN", "CRO", "CSL", "CTB", "CTF", "CTL", "CTT", "CTX", "CTZ", "CXM", "CYC", "CZD", "CZO", "CZX", "DAL", "DAP", "DIR", "DIT", "DIZ", "DKB", "DOR", "DOX", "ENX", "EPC", "ERY", "ETH", "ETP", "FEP", "FLC", "FLE", "FLR1", "FOS", "FOX", "FOX1", "FUS", "GAT", "GEH", "GEM", "GEN", "GRX", "HAP", "HET", "INH", "IPM", "ISE", "JOS", "KAN", "LEX", "LIN", "LNZ", "LOM", "LOR", "LTM", "LVX", "MAN", "MCM", "MEC", "MEM", "MEV", "MEZ", "MFX", "MID", "MNO", "MTM", "NAL", "NEO", "NET", "NIT", "NOR", "NOV", "NVA", "OFX", "OLE", "ORI", "OXA", "PAZ", "PEF", "PEN", "PHN", "PIP", "PLB", "PME", "PRI", "PRL", "PRU", "PVM", "PZA", "QDA", "RAM", "RFL", "RFP", "RIB", "RID", "RIF", "ROK", "RST", "RXT", "SAM", "SBC", "SDI", "SDM", "SIS", "SLF", "SLF1", "SLF10", "SLF11", "SLF12", "SLF13", "SLF2", "SLF3", "SLF4", "SLF5", "SLF6", "SLF7", "SLF8", "SLF9", "SLT1", "SLT2", "SLT3", "SLT4", "SLT5", "SMX", "SPI", "SPX", "STH", "STR", "STR1", "SUD", "SUT", "SXT", "SZO", "TAL", "TCC", "TCM", "TCY", "TEC", "TEM", "TGC", "THA", "TIC", "TLT", "TLV", "TMP", "TMX", "TOB", "TRL", "TVA", "TZD", "TZP", "VAN"))`
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#' @aliases EUCAST
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#' @rdname eucast_rules
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#' @export
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#' @return The input of `x`, possibly with edited values of antibiotics. Or, if `verbose = TRUE`, a [data.frame] with all original and new values of the affected bug-drug combinations.
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#' @source
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#' - EUCAST Expert Rules. Version 2.0, 2012. \cr
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#' Leclercq et al. **EUCAST expert rules in antimicrobial susceptibility testing.** *Clin Microbiol Infect.* 2013;19(2):141-60. \cr
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#' <https://doi.org/10.1111/j.1469-0691.2011.03703.x>
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#' - EUCAST Expert Rules, Intrinsic Resistance and Exceptional Phenotypes Tables. Version 3.1, 2016. \cr
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#' <https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Expert_Rules/Expert_rules_intrinsic_exceptional_V3.1.pdf>
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#' - EUCAST Intrinsic Resistance and Unusual Phenotypes. Version 3.2, 2020. \cr
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#' <https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Expert_Rules/2020/Intrinsic_Resistance_and_Unusual_Phenotypes_Tables_v3.2_20200225.pdf>
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#' - EUCAST Breakpoint tables for interpretation of MICs and zone diameters. Version 9.0, 2019. \cr
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#' <https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Breakpoint_tables/v_9.0_Breakpoint_Tables.xlsx>
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#' - EUCAST Breakpoint tables for interpretation of MICs and zone diameters. Version 10.0, 2020. \cr
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#' <https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Breakpoint_tables/v_10.0_Breakpoint_Tables.xlsx>
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#' @inheritSection AMR Reference data publicly available
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#' @inheritSection AMR Read more on our website!
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#' @examples
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#' \donttest{
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#' a <- data.frame(mo = c("Staphylococcus aureus",
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#' "Enterococcus faecalis",
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#' "Escherichia coli",
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#' "Klebsiella pneumoniae",
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#' "Pseudomonas aeruginosa"),
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#' VAN = "-", # Vancomycin
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#' AMX = "-", # Amoxicillin
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#' COL = "-", # Colistin
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#' CAZ = "-", # Ceftazidime
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#' CXM = "-", # Cefuroxime
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#' PEN = "S", # Benzylpenicillin
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#' FOX = "S", # Cefoxitin
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#' stringsAsFactors = FALSE)
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#'
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#' a
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#' # mo VAN AMX COL CAZ CXM PEN FOX
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#' # 1 Staphylococcus aureus - - - - - S S
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#' # 2 Enterococcus faecalis - - - - - S S
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#' # 3 Escherichia coli - - - - - S S
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#' # 4 Klebsiella pneumoniae - - - - - S S
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#' # 5 Pseudomonas aeruginosa - - - - - S S
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#'
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#'
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#' # apply EUCAST rules: some results wil be changed
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#' b <- eucast_rules(a)
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#'
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#' b
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#' # mo VAN AMX COL CAZ CXM PEN FOX
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#' # 1 Staphylococcus aureus - S R R S S S
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#' # 2 Enterococcus faecalis - - R R R S R
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#' # 3 Escherichia coli R - - - - R S
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#' # 4 Klebsiella pneumoniae R R - - - R S
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#' # 5 Pseudomonas aeruginosa R R - - R R R
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#'
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#'
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#' # do not apply EUCAST rules, but rather get a data.frame
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#' # containing all details about the transformations:
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#' c <- eucast_rules(a, verbose = TRUE)
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#' }
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eucast_rules <- function(x,
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col_mo = NULL,
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info = interactive(),
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rules = getOption("AMR_eucastrules", default = c("breakpoints", "expert")),
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verbose = FALSE,
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version_breakpoints = 10.0,
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version_expertrules = 3.2,
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...) {
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check_dataset_integrity()
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version_breakpoints <- as.double(version_breakpoints)
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version_expertrules <- as.double(version_expertrules)
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stop_ifnot(version_breakpoints %in% as.double(names(EUCAST_VERSION_BREAKPOINTS)),
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"EUCAST version ", version_breakpoints, " for clinical breakpoints not found")
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stop_ifnot(version_expertrules %in% as.double(names(EUCAST_VERSION_EXPERT_RULES)),
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"EUCAST version ", version_expertrules, " for expert rules/intrinsic resistance not found")
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breakpoints_info <- EUCAST_VERSION_BREAKPOINTS[[which(as.double(names(EUCAST_VERSION_BREAKPOINTS)) == version_breakpoints)]]
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expertrules_info <- EUCAST_VERSION_EXPERT_RULES[[which(as.double(names(EUCAST_VERSION_EXPERT_RULES)) == version_expertrules)]]
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# support old setting (until AMR v1.3.0)
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if (missing(rules) & !is.null(getOption("AMR.eucast_rules", default = NULL))) {
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rules <- getOption("AMR.eucast_rules")
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}
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if (verbose == TRUE & info == TRUE) {
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txt <- paste0("WARNING: In Verbose mode, the eucast_rules() function does not apply rules to the data, but instead returns a data set in logbook form with extensive info about which rows and columns would be effected and in which way.",
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"\n\nThis may overwrite your existing data if you use e.g.:",
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"\ndata <- eucast_rules(data, verbose = TRUE)\n\nDo you want to continue?")
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showQuestion <- import_fn("showQuestion", "rstudioapi", error_on_fail = FALSE)
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if (!is.null(showQuestion)) {
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q_continue <- showQuestion("Using verbose = TRUE with eucast_rules()", txt)
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} else {
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q_continue <- utils::menu(choices = c("OK", "Cancel"), graphics = FALSE, title = txt)
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}
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if (q_continue %in% c(FALSE, 2)) {
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message("Cancelled, returning original data")
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return(x)
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}
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}
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stop_ifnot(is.data.frame(x), "`x` must be a data frame")
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# try to find columns based on type
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# -- mo
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if (is.null(col_mo)) {
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col_mo <- search_type_in_df(x = x, type = "mo", info = info)
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}
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stop_if(is.null(col_mo), "`col_mo` must be set")
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stop_ifnot(col_mo %in% colnames(x), "column '", col_mo, "' (`col_mo`) not found")
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stop_ifnot(all(rules %in% c("breakpoints", "expert", "other", "all")),
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'`rules` must be one or more of: "breakpoints", "expert", "other", "all".')
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decimal.mark <- getOption("OutDec")
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big.mark <- ifelse(decimal.mark != ",", ",", ".")
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formatnr <- function(x, big = big.mark, dec = decimal.mark) {
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trimws(format(x, big.mark = big, decimal.mark = dec))
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}
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warned <- FALSE
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warn_lacking_rsi_class <- FALSE
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txt_ok <- function(n_added, n_changed, warned = FALSE) {
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if (warned == FALSE) {
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if (n_added + n_changed == 0) {
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cat(font_subtle(" (no changes)\n"))
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} else {
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# opening
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cat(font_grey(" ("))
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# additions
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if (n_added > 0) {
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if (n_added == 1) {
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cat(font_green("1 value added"))
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} else {
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cat(font_green(formatnr(n_added), "values added"))
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}
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}
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# separator
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if (n_added > 0 & n_changed > 0) {
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cat(font_grey(", "))
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}
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# changes
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if (n_changed > 0) {
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if (n_changed == 1) {
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cat(font_blue("1 value changed"))
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} else {
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cat(font_blue(formatnr(n_changed), "values changed"))
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}
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}
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# closing
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cat(font_grey(")\n"))
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}
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warned <<- FALSE
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}
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}
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cols_ab <- get_column_abx(x = x,
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soft_dependencies = c("AMC",
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"AMP",
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"AMX",
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"CIP",
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"ERY",
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"FOX1",
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"GEN",
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"MFX",
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"NAL",
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"NOR",
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"PEN",
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"PIP",
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"TCY",
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"TIC",
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"TOB"),
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hard_dependencies = NULL,
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verbose = verbose,
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info = info,
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...)
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AMC <- cols_ab["AMC"]
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AMK <- cols_ab["AMK"]
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AMP <- cols_ab["AMP"]
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AMX <- cols_ab["AMX"]
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ATM <- cols_ab["ATM"]
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AVO <- cols_ab["AVO"]
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AZL <- cols_ab["AZL"]
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AZM <- cols_ab["AZM"]
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BAM <- cols_ab["BAM"]
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BPR <- cols_ab["BPR"]
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CAC <- cols_ab["CAC"]
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CAT <- cols_ab["CAT"]
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CAZ <- cols_ab["CAZ"]
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CCV <- cols_ab["CCV"]
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CDR <- cols_ab["CDR"]
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CDZ <- cols_ab["CDZ"]
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CEC <- cols_ab["CEC"]
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CED <- cols_ab["CED"]
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CEI <- cols_ab["CEI"]
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CEP <- cols_ab["CEP"]
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CFM <- cols_ab["CFM"]
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CFM1 <- cols_ab["CFM1"]
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CFP <- cols_ab["CFP"]
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CFR <- cols_ab["CFR"]
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CFS <- cols_ab["CFS"]
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CHL <- cols_ab["CHL"]
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CID <- cols_ab["CID"]
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CIP <- cols_ab["CIP"]
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CLI <- cols_ab["CLI"]
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CLI <- cols_ab["CLI"]
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CLR <- cols_ab["CLR"]
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CMX <- cols_ab["CMX"]
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CMZ <- cols_ab["CMZ"]
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CND <- cols_ab["CND"]
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COL <- cols_ab["COL"]
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CPD <- cols_ab["CPD"]
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CPM <- cols_ab["CPM"]
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CPO <- cols_ab["CPO"]
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CPR <- cols_ab["CPR"]
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CPT <- cols_ab["CPT"]
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CRB <- cols_ab["CRB"]
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CRD <- cols_ab["CRD"]
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CRN <- cols_ab["CRN"]
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CRO <- cols_ab["CRO"]
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CSL <- cols_ab["CSL"]
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CTB <- cols_ab["CTB"]
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CTF <- cols_ab["CTF"]
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CTL <- cols_ab["CTL"]
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CTT <- cols_ab["CTT"]
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CTX <- cols_ab["CTX"]
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CTZ <- cols_ab["CTZ"]
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CXM <- cols_ab["CXM"]
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CYC <- cols_ab["CYC"]
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CZD <- cols_ab["CZD"]
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CZO <- cols_ab["CZO"]
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CZX <- cols_ab["CZX"]
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DAL <- cols_ab["DAL"]
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DAP <- cols_ab["DAP"]
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DIR <- cols_ab["DIR"]
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DIT <- cols_ab["DIT"]
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DIZ <- cols_ab["DIZ"]
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DKB <- cols_ab["DKB"]
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DOR <- cols_ab["DOR"]
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DOX <- cols_ab["DOX"]
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ENX <- cols_ab["ENX"]
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EPC <- cols_ab["EPC"]
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ERY <- cols_ab["ERY"]
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ETP <- cols_ab["ETP"]
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FEP <- cols_ab["FEP"]
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FLC <- cols_ab["FLC"]
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FLE <- cols_ab["FLE"]
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FLR1 <- cols_ab["FLR1"]
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FOS <- cols_ab["FOS"]
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FOX <- cols_ab["FOX"]
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FOX1 <- cols_ab["FOX1"]
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FUS <- cols_ab["FUS"]
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GAT <- cols_ab["GAT"]
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GEM <- cols_ab["GEM"]
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GEN <- cols_ab["GEN"]
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GRX <- cols_ab["GRX"]
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HAP <- cols_ab["HAP"]
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HET <- cols_ab["HET"]
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IPM <- cols_ab["IPM"]
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ISE <- cols_ab["ISE"]
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JOS <- cols_ab["JOS"]
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KAN <- cols_ab["KAN"]
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LEX <- cols_ab["LEX"]
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LIN <- cols_ab["LIN"]
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LNZ <- cols_ab["LNZ"]
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LOM <- cols_ab["LOM"]
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LOR <- cols_ab["LOR"]
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LTM <- cols_ab["LTM"]
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LVX <- cols_ab["LVX"]
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MAN <- cols_ab["MAN"]
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MCM <- cols_ab["MCM"]
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MEC <- cols_ab["MEC"]
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MEM <- cols_ab["MEM"]
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MEV <- cols_ab["MEV"]
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MEZ <- cols_ab["MEZ"]
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MFX <- cols_ab["MFX"]
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MID <- cols_ab["MID"]
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MNO <- cols_ab["MNO"]
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MTM <- cols_ab["MTM"]
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NAL <- cols_ab["NAL"]
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NEO <- cols_ab["NEO"]
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NET <- cols_ab["NET"]
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NIT <- cols_ab["NIT"]
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NOR <- cols_ab["NOR"]
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NOV <- cols_ab["NOV"]
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NVA <- cols_ab["NVA"]
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OFX <- cols_ab["OFX"]
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OLE <- cols_ab["OLE"]
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ORI <- cols_ab["ORI"]
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OXA <- cols_ab["OXA"]
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PAZ <- cols_ab["PAZ"]
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PEF <- cols_ab["PEF"]
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PEN <- cols_ab["PEN"]
|
|
PHN <- cols_ab["PHN"]
|
|
PIP <- cols_ab["PIP"]
|
|
PLB <- cols_ab["PLB"]
|
|
PME <- cols_ab["PME"]
|
|
PRI <- cols_ab["PRI"]
|
|
PRL <- cols_ab["PRL"]
|
|
PRU <- cols_ab["PRU"]
|
|
PVM <- cols_ab["PVM"]
|
|
QDA <- cols_ab["QDA"]
|
|
QDA <- cols_ab["QDA"]
|
|
RAM <- cols_ab["RAM"]
|
|
RFL <- cols_ab["RFL"]
|
|
RID <- cols_ab["RID"]
|
|
RIF <- cols_ab["RIF"]
|
|
ROK <- cols_ab["ROK"]
|
|
RST <- cols_ab["RST"]
|
|
RXT <- cols_ab["RXT"]
|
|
SAM <- cols_ab["SAM"]
|
|
SBC <- cols_ab["SBC"]
|
|
SDI <- cols_ab["SDI"]
|
|
SDM <- cols_ab["SDM"]
|
|
SIS <- cols_ab["SIS"]
|
|
SLF <- cols_ab["SLF"]
|
|
SLF1 <- cols_ab["SLF1"]
|
|
SLF10 <- cols_ab["SLF10"]
|
|
SLF11 <- cols_ab["SLF11"]
|
|
SLF12 <- cols_ab["SLF12"]
|
|
SLF13 <- cols_ab["SLF13"]
|
|
SLF2 <- cols_ab["SLF2"]
|
|
SLF3 <- cols_ab["SLF3"]
|
|
SLF4 <- cols_ab["SLF4"]
|
|
SLF5 <- cols_ab["SLF5"]
|
|
SLF6 <- cols_ab["SLF6"]
|
|
SLF7 <- cols_ab["SLF7"]
|
|
SLF8 <- cols_ab["SLF8"]
|
|
SLF9 <- cols_ab["SLF9"]
|
|
SLT1 <- cols_ab["SLT1"]
|
|
SLT2 <- cols_ab["SLT2"]
|
|
SLT3 <- cols_ab["SLT3"]
|
|
SLT4 <- cols_ab["SLT4"]
|
|
SLT5 <- cols_ab["SLT5"]
|
|
SMX <- cols_ab["SMX"]
|
|
SPI <- cols_ab["SPI"]
|
|
SPX <- cols_ab["SPX"]
|
|
STR <- cols_ab["STR"]
|
|
STR1 <- cols_ab["STR1"]
|
|
SUD <- cols_ab["SUD"]
|
|
SUT <- cols_ab["SUT"]
|
|
SXT <- cols_ab["SXT"]
|
|
SZO <- cols_ab["SZO"]
|
|
TAL <- cols_ab["TAL"]
|
|
TCC <- cols_ab["TCC"]
|
|
TCM <- cols_ab["TCM"]
|
|
TCY <- cols_ab["TCY"]
|
|
TEC <- cols_ab["TEC"]
|
|
TEM <- cols_ab["TEM"]
|
|
TGC <- cols_ab["TGC"]
|
|
THA <- cols_ab["THA"]
|
|
TIC <- cols_ab["TIC"]
|
|
TLT <- cols_ab["TLT"]
|
|
TLV <- cols_ab["TLV"]
|
|
TMP <- cols_ab["TMP"]
|
|
TMX <- cols_ab["TMX"]
|
|
TOB <- cols_ab["TOB"]
|
|
TRL <- cols_ab["TRL"]
|
|
TVA <- cols_ab["TVA"]
|
|
TZD <- cols_ab["TZD"]
|
|
TZP <- cols_ab["TZP"]
|
|
VAN <- cols_ab["VAN"]
|
|
|
|
ab_missing <- function(ab) {
|
|
all(ab %in% c(NULL, NA))
|
|
}
|
|
|
|
if (ab_missing(AMP) & !ab_missing(AMX)) {
|
|
# ampicillin column is missing, but amoxicillin is available
|
|
if (info == TRUE) {
|
|
message(font_blue(paste0("NOTE: Using column `", font_bold(AMX), "` as input for ampicillin since many EUCAST rules depend on it.")))
|
|
}
|
|
AMP <- AMX
|
|
}
|
|
|
|
# data preparation ----
|
|
if (info == TRUE & NROW(x) > 10000) {
|
|
message(font_blue("NOTE: Preparing data..."), appendLF = FALSE)
|
|
}
|
|
|
|
# nolint start
|
|
# antibiotic classes ----
|
|
aminoglycosides <- c(AMK, DKB, GEN, ISE, KAN, NEO, NET, RST, SIS, STR, STR1, TOB)
|
|
aminopenicillins <- c(AMP, AMX)
|
|
carbapenems <- c(DOR, ETP, IPM, MEM, MEV)
|
|
cephalosporins <- c(CDZ, CAC, CEC, CFR, RID, MAN, CTZ, CZD, CZO, CDR, DIT, FEP, CAT, CFM, CMX, CMZ, DIZ, CID, CFP, CSL, CND, CTX, CTT, CTF, FOX, CPM, CPO, CPD, CPR, CRD, CFS, CPT, CAZ, CCV, CTL, CTB, CZX, BPR, CFM1, CEI, CRO, CXM, LEX, CEP, HAP, CED, LTM, LOR)
|
|
cephalosporins_1st <- c(CAC, CFR, RID, CTZ, CZD, CZO, CRD, CTL, LEX, CEP, HAP, CED)
|
|
cephalosporins_2nd <- c(CEC, MAN, CMZ, CID, CND, CTT, CTF, FOX, CPR, CXM, LOR)
|
|
cephalosporins_except_CAZ <- cephalosporins[cephalosporins != ifelse(is.null(CAZ), "", CAZ)]
|
|
fluoroquinolones <- c(CIP, ENX, FLE, GAT, GEM, GRX, LVX, LOM, MFX, NOR, OFX, PAZ, PEF, PRU, RFL, SPX, TMX, TVA)
|
|
glycopeptides <- c(AVO, NVA, RAM, TEC, TCM, VAN) # dalba/orita/tela are in lipoglycopeptides
|
|
lincosamides <- c(CLI, LIN, PRL)
|
|
lipoglycopeptides <- c(DAL, ORI, TLV)
|
|
macrolides <- c(AZM, CLR, DIR, ERY, FLR1, JOS, MID, MCM, OLE, ROK, RXT, SPI, TLT, TRL)
|
|
oxazolidinones <- c(CYC, LNZ, THA, TZD)
|
|
polymyxins <- c(PLB, COL)
|
|
streptogramins <- c(QDA, PRI)
|
|
tetracyclines <- c(DOX, MNO, TCY) # since EUCAST v3.1 tigecycline (TGC) is set apart
|
|
ureidopenicillins <- c(PIP, TZP, AZL, MEZ)
|
|
all_betalactams <- c(aminopenicillins, cephalosporins, carbapenems, ureidopenicillins, AMC, OXA, FLC, PEN)
|
|
# nolint end
|
|
|
|
|
|
# Some helper functions ---------------------------------------------------
|
|
get_antibiotic_columns <- function(x, df) {
|
|
x <- trimws(unlist(strsplit(x, ",", fixed = TRUE)))
|
|
y <- character(0)
|
|
for (i in seq_len(length(x))) {
|
|
if (is.function(get(x[i]))) {
|
|
stop("Column ", x[i], " is also a function. Please create an issue on github.com/msberends/AMR/issues.")
|
|
}
|
|
y <- c(y, tryCatch(get(x[i]), error = function(e) ""))
|
|
}
|
|
y[y != "" & y %in% colnames(df)]
|
|
}
|
|
markup_italics_where_needed <- function(x) {
|
|
# returns names found in family, genus or species as italics
|
|
if (!has_colour()) {
|
|
return(x)
|
|
}
|
|
x <- unlist(strsplit(x, " "))
|
|
ind <- gsub("[)(:]", "", x) %in% c(MO_lookup[which(MO_lookup$rank %in% c("family", "genus")), ]$fullname,
|
|
MO_lookup[which(MO_lookup$rank == "species"), ]$species)
|
|
x[ind] <- font_italic(x[ind], collapse = NULL)
|
|
paste(x, collapse = " ")
|
|
}
|
|
get_antibiotic_names <- function(x) {
|
|
x <- x %pm>%
|
|
strsplit(",") %pm>%
|
|
unlist() %pm>%
|
|
trimws() %pm>%
|
|
sapply(function(x) if (x %in% antibiotics$ab) ab_name(x, language = NULL, tolower = TRUE) else x) %pm>%
|
|
sort() %pm>%
|
|
paste(collapse = ", ")
|
|
x <- gsub("_", " ", x, fixed = TRUE)
|
|
x <- gsub("except CAZ", paste("except", ab_name("CAZ", language = NULL, tolower = TRUE)), x, fixed = TRUE)
|
|
x
|
|
}
|
|
format_antibiotic_names <- function(ab_names, ab_results) {
|
|
ab_names <- trimws(unlist(strsplit(ab_names, ",")))
|
|
ab_results <- trimws(unlist(strsplit(ab_results, ",")))
|
|
if (length(ab_results) == 1) {
|
|
if (length(ab_names) == 1) {
|
|
# like FOX S
|
|
x <- paste(ab_names, "is")
|
|
} else if (length(ab_names) == 2) {
|
|
# like PEN,FOX S
|
|
x <- paste(paste0(ab_names, collapse = " and "), "are both")
|
|
} else {
|
|
# like PEN,FOX,GEN S (although dependency on > 2 ABx does not exist at the moment)
|
|
x <- paste(paste0(ab_names, collapse = " and "), "are all")
|
|
}
|
|
return(paste0(x, " '", ab_results, "'"))
|
|
} else {
|
|
if (length(ab_names) == 2) {
|
|
# like PEN,FOX S,R
|
|
paste0(ab_names[1], " is '", ab_results[1], "' and ",
|
|
ab_names[2], " is '", ab_results[2], "'")
|
|
} else {
|
|
# like PEN,FOX,GEN S,R,R (although dependency on > 2 ABx does not exist at the moment)
|
|
paste0(ab_names[1], " is '", ab_results[1], "' and ",
|
|
ab_names[2], " is '", ab_results[2], "' and ",
|
|
ab_names[3], " is '", ab_results[3], "'")
|
|
}
|
|
}
|
|
}
|
|
as.rsi_no_warning <- function(x) {
|
|
if (is.rsi(x)) {
|
|
return(x)
|
|
}
|
|
suppressWarnings(as.rsi(x))
|
|
}
|
|
|
|
verbose_info <- data.frame(rowid = character(0),
|
|
col = character(0),
|
|
mo_fullname = character(0),
|
|
old = as.rsi(character(0)),
|
|
new = as.rsi(character(0)),
|
|
rule = character(0),
|
|
rule_group = character(0),
|
|
rule_name = character(0),
|
|
rule_source = character(0),
|
|
stringsAsFactors = FALSE)
|
|
|
|
old_cols <- colnames(x)
|
|
old_attributes <- attributes(x)
|
|
x <- as.data.frame(x, stringsAsFactors = FALSE) # no tibbles, data.tables, etc.
|
|
rownames(x) <- NULL # will later be restored with old_attributes
|
|
# create unique row IDs - combination of the MO and all ABx columns (so they will only run once per unique combination)
|
|
x$`.rowid` <- sapply(as.list(as.data.frame(t(x[, c(col_mo, cols_ab), drop = FALSE]))), function(x) {
|
|
x[is.na(x)] <- "."
|
|
paste0(x, collapse = "")
|
|
})
|
|
|
|
# save original table, with the new .rowid column
|
|
x.bak <- x
|
|
# keep only unique rows for MO and ABx
|
|
x <- x %pm>%
|
|
pm_arrange(`.rowid`) %pm>%
|
|
# big speed gain! only analyse unique rows:
|
|
pm_distinct(`.rowid`, .keep_all = TRUE) %pm>%
|
|
as.data.frame(stringsAsFactors = FALSE)
|
|
x[, col_mo] <- as.mo(x[, col_mo, drop = TRUE])
|
|
x <- x %pm>%
|
|
left_join_microorganisms(by = col_mo, suffix = c("_oldcols", ""))
|
|
x$gramstain <- mo_gramstain(x[, col_mo, drop = TRUE], language = NULL)
|
|
x$genus_species <- paste(x$genus, x$species)
|
|
if (info == TRUE & NROW(x) > 10000) {
|
|
message(font_blue("OK."))
|
|
}
|
|
|
|
if (any(x$genus == "Staphylococcus", na.rm = TRUE)) {
|
|
all_staph <- MO_lookup[which(MO_lookup$genus == "Staphylococcus"), ]
|
|
all_staph$CNS_CPS <- suppressWarnings(mo_name(all_staph$mo, Becker = "all", language = NULL))
|
|
}
|
|
if (any(x$genus == "Streptococcus", na.rm = TRUE)) {
|
|
all_strep <- MO_lookup[which(MO_lookup$genus == "Streptococcus"), ]
|
|
all_strep$Lancefield <- suppressWarnings(mo_name(all_strep$mo, Lancefield = TRUE, language = NULL))
|
|
}
|
|
|
|
n_added <- 0
|
|
n_changed <- 0
|
|
|
|
# Other rules: enzyme inhibitors ------------------------------------------
|
|
if (any(c("all", "other") %in% rules)) {
|
|
if (info == TRUE) {
|
|
cat(font_bold(paste0("\nRules by this AMR package (",
|
|
font_red(paste0("v", utils::packageVersion("AMR"), ", ",
|
|
format(utils::packageDate("AMR"), "%Y"))), "), see ?eucast_rules\n")))
|
|
}
|
|
|
|
ab_enzyme <- subset(antibiotics, name %like% "/")[, c("ab", "name")]
|
|
ab_enzyme$base_name <- gsub("^([a-zA-Z0-9]+).*", "\\1", ab_enzyme$name)
|
|
ab_enzyme$base_ab <- as.ab(ab_enzyme$base_name)
|
|
for (i in seq_len(nrow(ab_enzyme))) {
|
|
if (all(c(ab_enzyme[i, ]$ab, ab_enzyme[i, ]$base_ab) %in% names(cols_ab), na.rm = TRUE)) {
|
|
ab_name_base <- ab_name(cols_ab[ab_enzyme[i, ]$base_ab], language = NULL, tolower = TRUE)
|
|
ab_name_enzyme <- ab_name(cols_ab[ab_enzyme[i, ]$ab], language = NULL, tolower = TRUE)
|
|
|
|
# Set base to R where base + enzyme inhibitor is R
|
|
rule_current <- paste0("Set ", ab_name_base, " (", cols_ab[ab_enzyme[i, ]$base_ab], ") = R where ",
|
|
ab_name_enzyme, " (", cols_ab[ab_enzyme[i, ]$ab], ") = R")
|
|
if (info == TRUE) {
|
|
cat(rule_current)
|
|
}
|
|
run_changes <- edit_rsi(x = x,
|
|
col_mo = col_mo,
|
|
to = "R",
|
|
rule = c(rule_current, "Other rules", "", paste0("Non-EUCAST: AMR package v", utils::packageVersion("AMR"))),
|
|
rows = which(as.rsi_no_warning(x[, cols_ab[ab_enzyme[i, ]$ab]]) == "R"),
|
|
cols = cols_ab[ab_enzyme[i, ]$base_ab],
|
|
last_verbose_info = verbose_info,
|
|
original_data = x.bak,
|
|
warned = warned,
|
|
info = info)
|
|
n_added <- n_added + run_changes$added
|
|
n_changed <- n_changed + run_changes$changed
|
|
verbose_info <- run_changes$verbose_info
|
|
x <- run_changes$output
|
|
warn_lacking_rsi_class <- warn_lacking_rsi_class | run_changes$rsi_warn
|
|
# Print number of new changes
|
|
if (info == TRUE) {
|
|
# print only on last one of rules in this group
|
|
txt_ok(n_added = n_added, n_changed = n_changed, warned = warned)
|
|
# and reset counters
|
|
n_added <- 0
|
|
n_changed <- 0
|
|
}
|
|
|
|
# Set base + enzyme inhibitor to S where base is S
|
|
rule_current <- paste0("Set ", ab_name_enzyme, " (", cols_ab[ab_enzyme[i, ]$ab], ") = S where ",
|
|
ab_name_base, " (", cols_ab[ab_enzyme[i, ]$base_ab], ") = S")
|
|
if (info == TRUE) {
|
|
cat(rule_current)
|
|
}
|
|
run_changes <- edit_rsi(x = x,
|
|
col_mo = col_mo,
|
|
to = "S",
|
|
rule = c(rule_current, "Other rules", "", paste0("Non-EUCAST: AMR package v", utils::packageVersion("AMR"))),
|
|
rows = which(as.rsi_no_warning(x[, cols_ab[ab_enzyme[i, ]$base_ab]]) == "S"),
|
|
cols = cols_ab[ab_enzyme[i, ]$ab],
|
|
last_verbose_info = verbose_info,
|
|
original_data = x.bak,
|
|
warned = warned,
|
|
info = info)
|
|
n_added <- n_added + run_changes$added
|
|
n_changed <- n_changed + run_changes$changed
|
|
verbose_info <- run_changes$verbose_info
|
|
x <- run_changes$output
|
|
warn_lacking_rsi_class <- warn_lacking_rsi_class | run_changes$rsi_warn
|
|
# Print number of new changes
|
|
if (info == TRUE) {
|
|
# print only on last one of rules in this group
|
|
txt_ok(n_added = n_added, n_changed = n_changed, warned = warned)
|
|
# and reset counters
|
|
n_added <- 0
|
|
n_changed <- 0
|
|
}
|
|
}
|
|
}
|
|
|
|
} else {
|
|
if (info == TRUE) {
|
|
cat(font_red("\nSkipping inheritance rules defined by this package, such as setting trimethoprim (TMP) = R where trimethoprim/sulfamethoxazole (SXT) = R.\nUse eucast_rules(..., rules = \"all\") to also apply those rules.\n"))
|
|
}
|
|
}
|
|
|
|
# Official EUCAST rules ---------------------------------------------------
|
|
eucast_notification_shown <- FALSE
|
|
if (!is.null(list(...)$eucast_rules_df)) {
|
|
# this allows: eucast_rules(x, eucast_rules_df = AMR:::eucast_rules_file %pm>% filter(is.na(have_these_values)))
|
|
eucast_rules_df <- list(...)$eucast_rules_df
|
|
} else {
|
|
# otherwise internal data file, created in data-raw/internals.R
|
|
eucast_rules_df <- eucast_rules_file
|
|
}
|
|
|
|
# filter on user-set guideline versions ----
|
|
if (any(c("all", "breakpoints") %in% rules)) {
|
|
eucast_rules_df <- subset(eucast_rules_df,
|
|
!reference.rule_group %like% "breakpoint" |
|
|
(reference.rule_group %like% "breakpoint" & reference.version == version_breakpoints))
|
|
}
|
|
if (any(c("all", "expert") %in% rules)) {
|
|
eucast_rules_df <- subset(eucast_rules_df,
|
|
!reference.rule_group %like% "expert" |
|
|
(reference.rule_group %like% "expert" & reference.version == version_expertrules))
|
|
}
|
|
|
|
for (i in seq_len(nrow(eucast_rules_df))) {
|
|
|
|
rule_previous <- eucast_rules_df[max(1, i - 1), "reference.rule", drop = TRUE]
|
|
rule_current <- eucast_rules_df[i, "reference.rule", drop = TRUE]
|
|
rule_next <- eucast_rules_df[min(nrow(eucast_rules_df), i + 1), "reference.rule", drop = TRUE]
|
|
rule_group_previous <- eucast_rules_df[max(1, i - 1), "reference.rule_group", drop = TRUE]
|
|
rule_group_current <- eucast_rules_df[i, "reference.rule_group", drop = TRUE]
|
|
if (isFALSE(info) | isFALSE(verbose)) {
|
|
rule_text <- ""
|
|
} else {
|
|
if (is.na(eucast_rules_df[i, "and_these_antibiotics", drop = TRUE])) {
|
|
rule_text <- paste0("always report as '", eucast_rules_df[i, "to_value", drop = TRUE], "': ", get_antibiotic_names(eucast_rules_df[i, "then_change_these_antibiotics", drop = TRUE]))
|
|
} else {
|
|
rule_text <- paste0("report as '", eucast_rules_df[i, "to_value", drop = TRUE], "' when ",
|
|
format_antibiotic_names(ab_names = get_antibiotic_names(eucast_rules_df[i, "and_these_antibiotics", drop = TRUE]),
|
|
ab_results = eucast_rules_df[i, "have_these_values", drop = TRUE]), ": ",
|
|
get_antibiotic_names(eucast_rules_df[i, "then_change_these_antibiotics", drop = TRUE]))
|
|
}
|
|
}
|
|
if (i == 1) {
|
|
rule_previous <- ""
|
|
rule_group_previous <- ""
|
|
}
|
|
if (i == nrow(eucast_rules_df)) {
|
|
rule_next <- ""
|
|
}
|
|
|
|
# don't apply rules if user doesn't want to apply them
|
|
if (rule_group_current %like% "breakpoint" & !any(c("all", "breakpoints") %in% rules)) {
|
|
next
|
|
}
|
|
if (rule_group_current %like% "expert" & !any(c("all", "expert") %in% rules)) {
|
|
next
|
|
}
|
|
|
|
if (info == TRUE) {
|
|
# Print EUCAST intro ------------------------------------------------------
|
|
if (!rule_group_current %like% "other" & eucast_notification_shown == FALSE) {
|
|
cat(paste0("\n", font_grey(strrep("-", 0.95 * options()$width)),
|
|
"\nRules by the ", font_bold("European Committee on Antimicrobial Susceptibility Testing (EUCAST)"),
|
|
"\n", font_blue("https://eucast.org/"), "\n"))
|
|
eucast_notification_shown <- TRUE
|
|
}
|
|
|
|
# Print rule (group) ------------------------------------------------------
|
|
if (rule_group_current != rule_group_previous) {
|
|
# is new rule group, one of Breakpoints, Expert Rules and Other
|
|
cat(font_bold(
|
|
ifelse(
|
|
rule_group_current %like% "breakpoint",
|
|
paste0("\n", breakpoints_info$title, " (",
|
|
font_red(paste0(breakpoints_info$version_txt, ", ", breakpoints_info$year)), ")\n"),
|
|
ifelse(
|
|
rule_group_current %like% "expert",
|
|
paste0("\n", expertrules_info$title, " (",
|
|
font_red(paste0(expertrules_info$version_txt, ", ", expertrules_info$year)), ")\n"),
|
|
""))))
|
|
}
|
|
# Print rule -------------------------------------------------------------
|
|
if (rule_current != rule_previous) {
|
|
# is new rule within group, print its name
|
|
cat(markup_italics_where_needed(rule_current))
|
|
warned <- FALSE
|
|
}
|
|
}
|
|
|
|
# Get rule from file ------------------------------------------------------
|
|
if_mo_property <- trimws(eucast_rules_df[i, "if_mo_property", drop = TRUE])
|
|
like_is_one_of <- trimws(eucast_rules_df[i, "like.is.one_of", drop = TRUE])
|
|
mo_value <- trimws(eucast_rules_df[i, "this_value", drop = TRUE])
|
|
|
|
# be sure to comprise all coagulase-negative/-positive Staphylococci when they are mentioned
|
|
if (mo_value %like% "coagulase" && any(x$genus == "Staphylococcus", na.rm = TRUE)) {
|
|
if (mo_value %like% "negative") {
|
|
eucast_rules_df[i, "this_value"] <- paste0("^(", paste0(all_staph[which(all_staph$CNS_CPS %like% "negative"),
|
|
"fullname",
|
|
drop = TRUE],
|
|
collapse = "|"),
|
|
")$")
|
|
} else {
|
|
eucast_rules_df[i, "this_value"] <- paste0("^(", paste0(all_staph[which(all_staph$CNS_CPS %like% "positive"),
|
|
"fullname",
|
|
drop = TRUE],
|
|
collapse = "|"),
|
|
")$")
|
|
}
|
|
like_is_one_of <- "like"
|
|
}
|
|
# be sure to comprise all beta-haemolytic Streptococci (Lancefield groups A, B, C and G) when they are mentioned
|
|
if (mo_value %like% "group [ABCG]" && any(x$genus == "Streptococcus", na.rm = TRUE)) {
|
|
eucast_rules_df[i, "this_value"] <- paste0("^(", paste0(all_strep[which(all_strep$Lancefield %like% "group [ABCG]"),
|
|
"fullname",
|
|
drop = TRUE],
|
|
collapse = "|"),
|
|
")$")
|
|
like_is_one_of <- "like"
|
|
}
|
|
|
|
if (like_is_one_of == "is") {
|
|
# so e.g. 'Enterococcus' will turn into '^Enterococcus$'
|
|
mo_value <- paste0("^", mo_value, "$")
|
|
} else if (like_is_one_of == "one_of") {
|
|
# so 'Clostridium, Actinomyces, ...' will turn into '^(Clostridium|Actinomyces|...)$'
|
|
mo_value <- paste0("^(",
|
|
paste(trimws(unlist(strsplit(mo_value, ",", fixed = TRUE))),
|
|
collapse = "|"),
|
|
")$")
|
|
} else if (like_is_one_of != "like") {
|
|
stop("invalid value for column 'like.is.one_of'", call. = FALSE)
|
|
}
|
|
|
|
source_antibiotics <- eucast_rules_df[i, "and_these_antibiotics", drop = TRUE]
|
|
source_value <- trimws(unlist(strsplit(eucast_rules_df[i, "have_these_values", drop = TRUE], ",", fixed = TRUE)))
|
|
target_antibiotics <- eucast_rules_df[i, "then_change_these_antibiotics", drop = TRUE]
|
|
target_value <- eucast_rules_df[i, "to_value", drop = TRUE]
|
|
|
|
if (is.na(source_antibiotics)) {
|
|
rows <- tryCatch(which(x[, if_mo_property, drop = TRUE] %like_perl% mo_value),
|
|
error = function(e) integer(0))
|
|
} else {
|
|
source_antibiotics <- get_antibiotic_columns(source_antibiotics, x)
|
|
if (length(source_value) == 1 & length(source_antibiotics) > 1) {
|
|
source_value <- rep(source_value, length(source_antibiotics))
|
|
}
|
|
if (length(source_antibiotics) == 0) {
|
|
rows <- integer(0)
|
|
} else if (length(source_antibiotics) == 1) {
|
|
rows <- tryCatch(which(x[, if_mo_property, drop = TRUE] %like_perl% mo_value
|
|
& as.rsi_no_warning(x[, source_antibiotics[1L]]) == source_value[1L]),
|
|
error = function(e) integer(0))
|
|
} else if (length(source_antibiotics) == 2) {
|
|
rows <- tryCatch(which(x[, if_mo_property, drop = TRUE] %like_perl% mo_value
|
|
& as.rsi_no_warning(x[, source_antibiotics[1L]]) == source_value[1L]
|
|
& as.rsi_no_warning(x[, source_antibiotics[2L]]) == source_value[2L]),
|
|
error = function(e) integer(0))
|
|
} else if (length(source_antibiotics) == 3) {
|
|
rows <- tryCatch(which(x[, if_mo_property, drop = TRUE] %like_perl% mo_value
|
|
& as.rsi_no_warning(x[, source_antibiotics[1L]]) == source_value[1L]
|
|
& as.rsi_no_warning(x[, source_antibiotics[2L]]) == source_value[2L]
|
|
& as.rsi_no_warning(x[, source_antibiotics[3L]]) == source_value[3L]),
|
|
error = function(e) integer(0))
|
|
} else {
|
|
stop_("only 3 antibiotics supported for source_antibiotics")
|
|
}
|
|
}
|
|
|
|
cols <- get_antibiotic_columns(target_antibiotics, x)
|
|
|
|
# Apply rule on data ------------------------------------------------------
|
|
# this will return the unique number of changes
|
|
run_changes <- edit_rsi(x = x,
|
|
col_mo = col_mo,
|
|
to = target_value,
|
|
rule = c(rule_text, rule_group_current, rule_current,
|
|
ifelse(rule_group_current %like% "breakpoint",
|
|
paste0(breakpoints_info$title, " ", breakpoints_info$version_txt, ", ", breakpoints_info$year),
|
|
paste0(expertrules_info$title, " ", expertrules_info$version_txt, ", ", expertrules_info$year))),
|
|
rows = rows,
|
|
cols = cols,
|
|
last_verbose_info = verbose_info,
|
|
original_data = x.bak,
|
|
warned = warned,
|
|
info = info)
|
|
n_added <- n_added + run_changes$added
|
|
n_changed <- n_changed + run_changes$changed
|
|
verbose_info <- run_changes$verbose_info
|
|
x <- run_changes$output
|
|
warn_lacking_rsi_class <- warn_lacking_rsi_class | run_changes$rsi_warn
|
|
# Print number of new changes ---------------------------------------------
|
|
if (info == TRUE & rule_next != rule_current) {
|
|
# print only on last one of rules in this group
|
|
txt_ok(n_added = n_added, n_changed = n_changed, warned = warned)
|
|
# and reset counters
|
|
n_added <- 0
|
|
n_changed <- 0
|
|
}
|
|
}
|
|
|
|
# Print overview ----------------------------------------------------------
|
|
if (info == TRUE) {
|
|
|
|
rownames(verbose_info) <- NULL
|
|
affected <- x.bak[which(x.bak$`.rowid` %in% x$`.rowid`), , drop = FALSE]
|
|
rows_affected <- as.integer(rownames(affected))
|
|
verbose_info <- data.frame(row = rows_affected, rowid = affected[, ".rowid", drop = TRUE]) %pm>%
|
|
pm_left_join(verbose_info, by = "rowid") %pm>%
|
|
pm_select(-rowid) %pm>%
|
|
pm_filter(!is.na(new)) %pm>%
|
|
pm_arrange(row, rule_group, rule_name, col)
|
|
|
|
if (verbose == TRUE) {
|
|
wouldve <- "would have "
|
|
} else {
|
|
wouldve <- ""
|
|
}
|
|
|
|
cat(paste0("\n", font_grey(strrep("-", 0.95 * options()$width)), "\n"))
|
|
cat(font_bold(paste("The rules", paste0(wouldve, "affected"),
|
|
formatnr(pm_n_distinct(verbose_info$row)),
|
|
"out of", formatnr(nrow(x.bak)),
|
|
"rows, making a total of", formatnr(nrow(verbose_info)), "edits\n")))
|
|
|
|
total_n_added <- verbose_info %pm>% pm_filter(is.na(old)) %pm>% nrow()
|
|
total_n_changed <- verbose_info %pm>% pm_filter(!is.na(old)) %pm>% nrow()
|
|
|
|
# print added values
|
|
if (total_n_added == 0) {
|
|
colour <- cat # is function
|
|
} else {
|
|
colour <- font_green # is function
|
|
}
|
|
cat(colour(paste0("=> ", wouldve, "added ",
|
|
font_bold(formatnr(verbose_info %pm>%
|
|
pm_filter(is.na(old)) %pm>%
|
|
nrow()), "test results"),
|
|
"\n")))
|
|
if (total_n_added > 0) {
|
|
added_summary <- verbose_info %pm>%
|
|
pm_filter(is.na(old)) %pm>%
|
|
pm_count(new, name = "n")
|
|
cat(paste(" -",
|
|
paste0(formatnr(added_summary$n), " test result", ifelse(added_summary$n > 1, "s", ""),
|
|
" added as ", added_summary$new), collapse = "\n"))
|
|
}
|
|
|
|
# print changed values
|
|
if (total_n_changed == 0) {
|
|
colour <- cat # is function
|
|
} else {
|
|
colour <- font_blue # is function
|
|
}
|
|
if (total_n_added + total_n_changed > 0) {
|
|
cat("\n")
|
|
}
|
|
cat(colour(paste0("=> ", wouldve, "changed ",
|
|
font_bold(formatnr(verbose_info %pm>%
|
|
pm_filter(!is.na(old)) %pm>%
|
|
nrow()), "test results"),
|
|
"\n")))
|
|
if (total_n_changed > 0) {
|
|
changed_summary <- verbose_info %pm>%
|
|
pm_filter(!is.na(old)) %pm>%
|
|
pm_count(old, new, name = "n")
|
|
cat(paste(" -",
|
|
paste0(formatnr(changed_summary$n), " test result", ifelse(changed_summary$n > 1, "s", ""), " changed from ",
|
|
changed_summary$old, " to ", changed_summary$new), collapse = "\n"))
|
|
cat("\n")
|
|
}
|
|
|
|
cat(paste0(font_grey(strrep("-", 0.95 * options()$width)), "\n"))
|
|
|
|
if (verbose == FALSE & total_n_added + total_n_changed > 0) {
|
|
cat(paste("\nUse", font_bold("eucast_rules(..., verbose = TRUE)"), "(on your original data) to get a data.frame with all specified edits instead.\n\n"))
|
|
} else if (verbose == TRUE) {
|
|
cat(paste0("\nUsed 'Verbose mode' (", font_bold("verbose = TRUE"), "), which returns a data.frame with all specified edits.\nUse ", font_bold("verbose = FALSE"), " to apply the rules on your data.\n\n"))
|
|
}
|
|
}
|
|
|
|
if (isTRUE(warn_lacking_rsi_class)) {
|
|
warning("Not all columns with antimicrobial results are of class <rsi>.\n",
|
|
"Transform eligible columns to class <rsi> on beforehand: your_data %pm>% mutate_if(is.rsi.eligible, as.rsi)",
|
|
call. = FALSE)
|
|
}
|
|
|
|
# Return data set ---------------------------------------------------------
|
|
if (verbose == TRUE) {
|
|
verbose_info
|
|
} else {
|
|
# x was analysed with only unique rows, so join everything together again
|
|
x <- x[, c(cols_ab, ".rowid"), drop = FALSE]
|
|
x.bak <- x.bak[, setdiff(colnames(x.bak), cols_ab), drop = FALSE]
|
|
x.bak <- x.bak %pm>%
|
|
pm_left_join(x, by = ".rowid")
|
|
x.bak <- x.bak[, old_cols, drop = FALSE]
|
|
# reset original attributes
|
|
attributes(x.bak) <- old_attributes
|
|
x.bak
|
|
}
|
|
}
|
|
|
|
# helper function for editing the table ----
|
|
edit_rsi <- function(x,
|
|
col_mo,
|
|
to,
|
|
rule,
|
|
rows,
|
|
cols,
|
|
last_verbose_info,
|
|
original_data,
|
|
warned,
|
|
info) {
|
|
cols <- unique(cols[!is.na(cols) & !is.null(cols)])
|
|
|
|
# for Verbose Mode, keep track of all changes and return them
|
|
track_changes <- list(added = 0,
|
|
changed = 0,
|
|
output = x,
|
|
verbose_info = last_verbose_info,
|
|
rsi_warn = FALSE)
|
|
|
|
txt_error <- function() {
|
|
if (info == TRUE) cat("", font_red_bg(font_white(" ERROR ")), "\n\n")
|
|
}
|
|
txt_warning <- function() {
|
|
if (warned == FALSE) {
|
|
if (info == TRUE) cat("", font_yellow_bg(font_black(" WARNING ")))
|
|
}
|
|
warned <<- TRUE
|
|
}
|
|
|
|
if (length(rows) > 0 & length(cols) > 0) {
|
|
new_edits <- x
|
|
if (any(!sapply(x[, cols, drop = FALSE], is.rsi), na.rm = TRUE)) {
|
|
track_changes$warn <- TRUE
|
|
}
|
|
tryCatch(
|
|
# insert into original table
|
|
new_edits[rows, cols] <- to,
|
|
warning = function(w) {
|
|
if (w$message %like% "invalid factor level") {
|
|
xyz <- sapply(cols, function(col) {
|
|
new_edits[, col] <- factor(x = as.character(pm_pull(new_edits, col)), levels = c(to, levels(pm_pull(new_edits, col))))
|
|
# x[, col] <<- factor(x = as.character(pm_pull(x, col)), levels = c(to, levels(pm_pull(x, col))))
|
|
invisible()
|
|
})
|
|
new_edits[rows, cols] <- to
|
|
warning('Value "', to, '" added to the factor levels of column(s) `', paste(cols, collapse = "`, `"), "` because this value was not an existing factor level.\nA better way is to use as.rsi() on beforehand on antimicrobial columns to guarantee the right structure.", call. = FALSE)
|
|
txt_warning()
|
|
warned <- FALSE
|
|
} else {
|
|
warning(w$message, call. = FALSE)
|
|
txt_warning()
|
|
cat("\n") # txt_warning() does not append a "\n" on itself
|
|
}
|
|
},
|
|
error = function(e) {
|
|
txt_error()
|
|
stop(paste0("In row(s) ", paste(rows[1:min(length(rows), 10)], collapse = ","),
|
|
ifelse(length(rows) > 10, "...", ""),
|
|
" while writing value '", to,
|
|
"' to column(s) `", paste(cols, collapse = "`, `"),
|
|
"`:\n", e$message),
|
|
call. = FALSE)
|
|
}
|
|
)
|
|
|
|
track_changes$output <- new_edits
|
|
if (isTRUE(info) && isFALSE(all.equal(x, track_changes$output))) {
|
|
get_original_rows <- function(rowids) {
|
|
as.integer(rownames(original_data[which(original_data$.rowid %in% rowids), , drop = FALSE]))
|
|
}
|
|
for (i in seq_len(length(cols))) {
|
|
verbose_new <- data.frame(rowid = new_edits[rows, ".rowid", drop = TRUE],
|
|
col = cols[i],
|
|
mo_fullname = new_edits[rows, "fullname", drop = TRUE],
|
|
old = x[rows, cols[i], drop = TRUE],
|
|
new = to,
|
|
rule = font_stripstyle(rule[1]),
|
|
rule_group = font_stripstyle(rule[2]),
|
|
rule_name = font_stripstyle(rule[3]),
|
|
rule_source = font_stripstyle(rule[4]),
|
|
stringsAsFactors = FALSE)
|
|
colnames(verbose_new) <- c("rowid", "col", "mo_fullname", "old", "new",
|
|
"rule", "rule_group", "rule_name", "rule_source")
|
|
verbose_new <- verbose_new %pm>% pm_filter(old != new | is.na(old))
|
|
# save changes to data set 'verbose_info'
|
|
track_changes$verbose_info <- rbind(track_changes$verbose_info, verbose_new)
|
|
# count adds and changes
|
|
track_changes$added <- track_changes$added + verbose_new %pm>%
|
|
pm_filter(is.na(old)) %pm>%
|
|
pm_pull(rowid) %pm>%
|
|
get_original_rows() %pm>%
|
|
length()
|
|
track_changes$changed <- track_changes$changed + verbose_new %pm>%
|
|
pm_filter(!is.na(old)) %pm>%
|
|
pm_pull(rowid) %pm>%
|
|
get_original_rows() %pm>%
|
|
length()
|
|
}
|
|
}
|
|
}
|
|
return(track_changes)
|
|
}
|