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(v1.5.0.9039) handle first isolates for missing antibiograms
This commit is contained in:
parent
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@ -1,6 +1,6 @@
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Package: AMR
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Version: 1.5.0.9038
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Date: 2021-03-07
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Version: 1.5.0.9039
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Date: 2021-03-08
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Title: Antimicrobial Resistance Data Analysis
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Authors@R: c(
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person(role = c("aut", "cre"),
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5
NEWS.md
5
NEWS.md
@ -1,5 +1,5 @@
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# AMR 1.5.0.9034
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## <small>Last updated: 7 March 2021</small>
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# AMR 1.5.0.9039
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## <small>Last updated: 8 March 2021</small>
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### New
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* Support for EUCAST Clinical Breakpoints v11.0 (2021), effective in the `eucast_rules()` function and in `as.rsi()` to interpret MIC and disk diffusion values. This is now the default guideline in this package.
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@ -73,6 +73,7 @@
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* Support for GISA (glycopeptide-intermediate *S. aureus*), so e.g. `mo_genus("GISA")` will return `"Staphylococcus"`
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* Added translations of German and Spanish for more than 200 antimicrobial drugs
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* Speed improvement for `as.ab()` when the input is an official name or ATC code
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* Added argument `include_untested_rsi` to the `first_isolate()` functions (defaults to `TRUE` to keep existing behaviour), to be able to exclude rows where all R/SI values (class `<rsi>`, see `as.rsi()`) are empty
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### Other
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* Big documentation updates
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34
R/ab.R
34
R/ab.R
@ -109,23 +109,23 @@ as.ab <- function(x, flag_multiple_results = TRUE, info = TRUE, ...) {
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x <- toupper(x)
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x_nonNA <- x[!is.na(x)]
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# if (all(x_nonNA %in% antibiotics$ab, na.rm = TRUE)) {
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# # all valid AB codes, but not yet right class
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# return(set_clean_class(x,
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# new_class = c("ab", "character")))
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# }
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# if (all(x_nonNA %in% toupper(antibiotics$name), na.rm = TRUE)) {
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# # all valid AB names
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# out <- antibiotics$ab[match(x, toupper(antibiotics$name))]
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# out[is.na(x)] <- NA_character_
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# return(out)
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# }
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# if (all(x_nonNA %in% antibiotics$atc, na.rm = TRUE)) {
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# # all valid ATC codes
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# out <- antibiotics$ab[match(x, antibiotics$atc)]
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# out[is.na(x)] <- NA_character_
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# return(out)
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# }
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if (all(x_nonNA %in% antibiotics$ab, na.rm = TRUE)) {
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# all valid AB codes, but not yet right class
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return(set_clean_class(x,
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new_class = c("ab", "character")))
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}
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if (all(x_nonNA %in% toupper(antibiotics$name), na.rm = TRUE)) {
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# all valid AB names
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out <- antibiotics$ab[match(x, toupper(antibiotics$name))]
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out[is.na(x)] <- NA_character_
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return(out)
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}
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if (all(x_nonNA %in% antibiotics$atc, na.rm = TRUE)) {
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# all valid ATC codes
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out <- antibiotics$ab[match(x, antibiotics$atc)]
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out[is.na(x)] <- NA_character_
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return(out)
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}
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# remove diacritics
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x <- iconv(x, from = "UTF-8", to = "ASCII//TRANSLIT")
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@ -37,13 +37,14 @@
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#' @param col_keyantibiotics column name of the key antibiotics to determine first (weighted) isolates, see [key_antibiotics()]. Defaults to the first column that starts with 'key' followed by 'ab' or 'antibiotics' (case insensitive). Use `col_keyantibiotics = FALSE` to prevent this.
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#' @param episode_days episode in days after which a genus/species combination will be determined as 'first isolate' again. The default of 365 days is based on the guideline by CLSI, see *Source*.
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#' @param testcodes_exclude character vector with test codes that should be excluded (case-insensitive)
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#' @param icu_exclude logical whether ICU isolates should be excluded (rows with value `TRUE` in the column set with `col_icu`)
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#' @param icu_exclude logical to indicate whether ICU isolates should be excluded (rows with value `TRUE` in the column set with `col_icu`)
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#' @param specimen_group value in the column set with `col_specimen` to filter on
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#' @param type type to determine weighed isolates; can be `"keyantibiotics"` or `"points"`, see *Details*
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#' @param ignore_I logical to determine whether antibiotic interpretations with `"I"` will be ignored when `type = "keyantibiotics"`, see *Details*
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#' @param ignore_I logical to indicate whether antibiotic interpretations with `"I"` will be ignored when `type = "keyantibiotics"`, see *Details*
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#' @param points_threshold points until the comparison of key antibiotics will lead to inclusion of an isolate when `type = "points"`, see *Details*
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#' @param info print progress
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#' @param include_unknown logical to determine whether 'unknown' microorganisms should be included too, i.e. microbial code `"UNKNOWN"`, which defaults to `FALSE`. For WHONET users, this means that all records with organism code `"con"` (*contamination*) will be excluded at default. Isolates with a microbial ID of `NA` will always be excluded as first isolate.
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#' @param include_unknown logical to indicate whether 'unknown' microorganisms should be included too, i.e. microbial code `"UNKNOWN"`, which defaults to `FALSE`. For WHONET users, this means that all records with organism code `"con"` (*contamination*) will be excluded at default. Isolates with a microbial ID of `NA` will always be excluded as first isolate.
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#' @param include_untested_rsi logical to indicate whether also rows without antibiotic results are still eligible for becoming a first isolate. Use `include_untested_rsi = FALSE` to always return `FALSE` for such rows. This checks the data set for columns of class `<rsi>` and consequently requires transforming columns with antibiotic results using [as.rsi()] first.
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#' @param ... arguments passed on to [first_isolate()] when using [filter_first_isolate()], or arguments passed on to [key_antibiotics()] when using [filter_first_weighted_isolate()]
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#' @details
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#' These functions are context-aware. This means that then the `x` argument can be left blank, see *Examples*.
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@ -159,6 +160,7 @@ first_isolate <- function(x = NULL,
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points_threshold = 2,
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info = interactive(),
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include_unknown = FALSE,
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include_untested_rsi = TRUE,
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...) {
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if (is_null_or_grouped_tbl(x)) {
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# when `x` is left blank, auto determine it (get_current_data() also contains dplyr::cur_data_all())
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@ -188,6 +190,7 @@ first_isolate <- function(x = NULL,
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meet_criteria(points_threshold, allow_class = c("numeric", "integer"), has_length = 1, is_positive = TRUE, is_finite = TRUE)
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meet_criteria(info, allow_class = "logical", has_length = 1)
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meet_criteria(include_unknown, allow_class = "logical", has_length = 1)
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meet_criteria(include_untested_rsi, allow_class = "logical", has_length = 1)
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# remove data.table, grouping from tibbles, etc.
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x <- as.data.frame(x, stringsAsFactors = FALSE)
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@ -472,6 +475,14 @@ first_isolate <- function(x = NULL,
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}
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x[which(is.na(x$newvar_mo)), "newvar_first_isolate"] <- FALSE
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# handle isolates without antibiogram
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if (include_untested_rsi == FALSE && any(is.rsi(x))) {
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rsi_all_NA <- which(unname(vapply(FUN.VALUE = logical(1),
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as.data.frame(t(x[, is.rsi(x), drop = FALSE])),
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function(rsi_values) all(is.na(rsi_values)))))
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x[rsi_all_NA, "newvar_first_isolate"] <- FALSE
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}
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# arrange back according to original sorting again
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x <- x[order(x$newvar_row_index), ]
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rownames(x) <- NULL
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12
R/rsi.R
12
R/rsi.R
@ -337,18 +337,14 @@ as.rsi.mic <- function(x,
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meet_criteria(reference_data, allow_class = "data.frame")
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check_reference_data(reference_data)
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pkg_env$strange <- list(before = ab)
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# for dplyr's across()
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cur_column_dplyr <- import_fn("cur_column", "dplyr", error_on_fail = FALSE)
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if (!is.null(cur_column_dplyr)) {
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if (!is.null(cur_column_dplyr) && tryCatch(is.data.frame(get_current_data("ab", 0)), error = function(e) FALSE)) {
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# try to get current column, which will only be available when in across()
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ab <- tryCatch(cur_column_dplyr(),
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error = function(e) ab)
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}
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pkg_env$strange$afteracross <- ab
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# for auto-determining mo
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mo_var_found <- ""
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if (is.null(mo)) {
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@ -373,7 +369,6 @@ as.rsi.mic <- function(x,
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}
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ab_coerced <- suppressWarnings(as.ab(ab))
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pkg_env$strange$coerced <- ab_coerced
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mo_coerced <- suppressWarnings(as.mo(mo))
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guideline_coerced <- get_guideline(guideline, reference_data)
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if (is.na(ab_coerced)) {
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@ -433,7 +428,7 @@ as.rsi.disk <- function(x,
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# for dplyr's across()
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cur_column_dplyr <- import_fn("cur_column", "dplyr", error_on_fail = FALSE)
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if (!is.null(cur_column_dplyr)) {
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if (!is.null(cur_column_dplyr) && tryCatch(is.data.frame(get_current_data("ab", 0)), error = function(e) FALSE)) {
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# try to get current column, which will only be available when in across()
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ab <- tryCatch(cur_column_dplyr(),
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error = function(e) ab)
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@ -709,9 +704,6 @@ exec_as.rsi <- function(method,
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conserve_capped_values,
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add_intrinsic_resistance,
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reference_data) {
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pkg_env$strange$exec <- ab
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pkg_env$strange$names <- names(pkg_env$strange)
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metadata_mo <- get_mo_failures_uncertainties_renamed()
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x_bak <- data.frame(x_mo = paste0(x, mo), stringsAsFactors = FALSE)
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@ -81,7 +81,7 @@
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</button>
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<span class="navbar-brand">
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<a class="navbar-link" href="https://msberends.github.io/AMR//index.html">AMR (for R)</a>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9034</span>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9039</span>
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</span>
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</div>
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|
@ -81,7 +81,7 @@
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</button>
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<span class="navbar-brand">
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<a class="navbar-link" href="index.html">AMR (for R)</a>
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9034</span>
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9039</span>
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</span>
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</div>
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|
@ -81,7 +81,7 @@
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</button>
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<span class="navbar-brand">
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<a class="navbar-link" href="../index.html">AMR (for R)</a>
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9034</span>
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9039</span>
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</span>
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||||
</div>
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||||
|
@ -81,7 +81,7 @@
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</button>
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||||
<span class="navbar-brand">
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<a class="navbar-link" href="index.html">AMR (for R)</a>
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9034</span>
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9039</span>
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</span>
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||||
</div>
|
||||
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||||
|
@ -43,7 +43,7 @@
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</button>
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||||
<span class="navbar-brand">
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<a class="navbar-link" href="index.html">AMR (for R)</a>
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9034</span>
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9039</span>
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||||
</span>
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||||
</div>
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|
@ -81,7 +81,7 @@
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</button>
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||||
<span class="navbar-brand">
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<a class="navbar-link" href="../index.html">AMR (for R)</a>
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9034</span>
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9039</span>
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</span>
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</div>
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@ -236,13 +236,13 @@
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<small>Source: <a href='https://github.com/msberends/AMR/blob/master/NEWS.md'><code>NEWS.md</code></a></small>
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</div>
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<div id="amr-1509034" class="section level1">
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<h1 class="page-header" data-toc-text="1.5.0.9034">
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<a href="#amr-1509034" class="anchor"></a>AMR 1.5.0.9034<small> Unreleased </small>
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<div id="amr-1509039" class="section level1">
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<h1 class="page-header" data-toc-text="1.5.0.9039">
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<a href="#amr-1509039" class="anchor"></a>AMR 1.5.0.9039<small> Unreleased </small>
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</h1>
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<div id="last-updated-7-march-2021" class="section level2">
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<div id="last-updated-8-march-2021" class="section level2">
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<h2 class="hasAnchor">
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<a href="#last-updated-7-march-2021" class="anchor"></a><small>Last updated: 7 March 2021</small>
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<a href="#last-updated-8-march-2021" class="anchor"></a><small>Last updated: 8 March 2021</small>
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</h2>
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<div id="new" class="section level3">
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<h3 class="hasAnchor">
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@ -351,6 +351,7 @@
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</li>
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<li>Added translations of German and Spanish for more than 200 antimicrobial drugs</li>
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<li>Speed improvement for <code><a href="../reference/as.ab.html">as.ab()</a></code> when the input is an official name or ATC code</li>
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<li>Added argument <code>include_untested_rsi</code> to the <code><a href="../reference/first_isolate.html">first_isolate()</a></code> functions (defaults to <code>TRUE</code> to keep existing behaviour), to be able to exclude rows where all R/SI values (class <code><rsi></code>, see <code><a href="../reference/as.rsi.html">as.rsi()</a></code>) are empty</li>
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</ul>
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</div>
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<div id="other" class="section level3">
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@ -12,7 +12,7 @@ articles:
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datasets: datasets.html
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resistance_predict: resistance_predict.html
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welcome_to_AMR: welcome_to_AMR.html
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last_built: 2021-03-07T19:41Z
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last_built: 2021-03-08T01:35Z
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urls:
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reference: https://msberends.github.io/AMR//reference
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article: https://msberends.github.io/AMR//articles
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@ -82,7 +82,7 @@
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</button>
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<span class="navbar-brand">
|
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<a class="navbar-link" href="../index.html">AMR (for R)</a>
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9019</span>
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9039</span>
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</span>
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</div>
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@ -260,6 +260,7 @@
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points_threshold <span class='op'>=</span> <span class='fl'>2</span>,
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info <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/interactive.html'>interactive</a></span><span class='op'>(</span><span class='op'>)</span>,
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include_unknown <span class='op'>=</span> <span class='cn'>FALSE</span>,
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include_untested_rsi <span class='op'>=</span> <span class='cn'>TRUE</span>,
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<span class='va'>...</span>
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<span class='op'>)</span>
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@ -325,7 +326,7 @@
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</tr>
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<tr>
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<th>icu_exclude</th>
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<td><p>logical whether ICU isolates should be excluded (rows with value <code>TRUE</code> in the column set with <code>col_icu</code>)</p></td>
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<td><p>logical to indicate whether ICU isolates should be excluded (rows with value <code>TRUE</code> in the column set with <code>col_icu</code>)</p></td>
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</tr>
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<tr>
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<th>specimen_group</th>
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@ -337,7 +338,7 @@
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</tr>
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<tr>
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<th>ignore_I</th>
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<td><p>logical to determine whether antibiotic interpretations with <code>"I"</code> will be ignored when <code>type = "keyantibiotics"</code>, see <em>Details</em></p></td>
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<td><p>logical to indicate whether antibiotic interpretations with <code>"I"</code> will be ignored when <code>type = "keyantibiotics"</code>, see <em>Details</em></p></td>
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</tr>
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<tr>
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<th>points_threshold</th>
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@ -349,7 +350,11 @@
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</tr>
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<tr>
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<th>include_unknown</th>
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<td><p>logical to determine whether 'unknown' microorganisms should be included too, i.e. microbial code <code>"UNKNOWN"</code>, which defaults to <code>FALSE</code>. For WHONET users, this means that all records with organism code <code>"con"</code> (<em>contamination</em>) will be excluded at default. Isolates with a microbial ID of <code>NA</code> will always be excluded as first isolate.</p></td>
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<td><p>logical to indicate whether 'unknown' microorganisms should be included too, i.e. microbial code <code>"UNKNOWN"</code>, which defaults to <code>FALSE</code>. For WHONET users, this means that all records with organism code <code>"con"</code> (<em>contamination</em>) will be excluded at default. Isolates with a microbial ID of <code>NA</code> will always be excluded as first isolate.</p></td>
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</tr>
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<tr>
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<th>include_untested_rsi</th>
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<td><p>logical to indicate whether also rows without antibiotic results are still eligible for becoming a first isolate. Use <code>include_untested_rsi = FALSE</code> to always return <code>FALSE</code> for such rows. This checks the data set for columns of class <code><rsi></code> and consequently requires transforming columns with antibiotic results using <code><a href='as.rsi.html'>as.rsi()</a></code> first.</p></td>
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</tr>
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<tr>
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<th>...</th>
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@ -81,7 +81,7 @@
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</button>
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||||
<span class="navbar-brand">
|
||||
<a class="navbar-link" href="../index.html">AMR (for R)</a>
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9034</span>
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9039</span>
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||||
</span>
|
||||
</div>
|
||||
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||||
|
@ -82,7 +82,7 @@
|
||||
</button>
|
||||
<span class="navbar-brand">
|
||||
<a class="navbar-link" href="../index.html">AMR (for R)</a>
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9019</span>
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9039</span>
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||||
</span>
|
||||
</div>
|
||||
|
||||
@ -317,7 +317,7 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<th>ignore_I</th>
|
||||
<td><p>logical to determine whether antibiotic interpretations with <code>"I"</code> will be ignored when <code>type = "keyantibiotics"</code>, see <em>Details</em></p></td>
|
||||
<td><p>logical to indicate whether antibiotic interpretations with <code>"I"</code> will be ignored when <code>type = "keyantibiotics"</code>, see <em>Details</em></p></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<th>points_threshold</th>
|
||||
|
@ -81,7 +81,7 @@
|
||||
</button>
|
||||
<span class="navbar-brand">
|
||||
<a class="navbar-link" href="index.html">AMR (for R)</a>
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9034</span>
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9039</span>
|
||||
</span>
|
||||
</div>
|
||||
|
||||
|
@ -29,6 +29,7 @@ first_isolate(
|
||||
points_threshold = 2,
|
||||
info = interactive(),
|
||||
include_unknown = FALSE,
|
||||
include_untested_rsi = TRUE,
|
||||
...
|
||||
)
|
||||
|
||||
@ -70,19 +71,21 @@ filter_first_weighted_isolate(
|
||||
|
||||
\item{testcodes_exclude}{character vector with test codes that should be excluded (case-insensitive)}
|
||||
|
||||
\item{icu_exclude}{logical whether ICU isolates should be excluded (rows with value \code{TRUE} in the column set with \code{col_icu})}
|
||||
\item{icu_exclude}{logical to indicate whether ICU isolates should be excluded (rows with value \code{TRUE} in the column set with \code{col_icu})}
|
||||
|
||||
\item{specimen_group}{value in the column set with \code{col_specimen} to filter on}
|
||||
|
||||
\item{type}{type to determine weighed isolates; can be \code{"keyantibiotics"} or \code{"points"}, see \emph{Details}}
|
||||
|
||||
\item{ignore_I}{logical to determine whether antibiotic interpretations with \code{"I"} will be ignored when \code{type = "keyantibiotics"}, see \emph{Details}}
|
||||
\item{ignore_I}{logical to indicate whether antibiotic interpretations with \code{"I"} will be ignored when \code{type = "keyantibiotics"}, see \emph{Details}}
|
||||
|
||||
\item{points_threshold}{points until the comparison of key antibiotics will lead to inclusion of an isolate when \code{type = "points"}, see \emph{Details}}
|
||||
|
||||
\item{info}{print progress}
|
||||
|
||||
\item{include_unknown}{logical to determine whether 'unknown' microorganisms should be included too, i.e. microbial code \code{"UNKNOWN"}, which defaults to \code{FALSE}. For WHONET users, this means that all records with organism code \code{"con"} (\emph{contamination}) will be excluded at default. Isolates with a microbial ID of \code{NA} will always be excluded as first isolate.}
|
||||
\item{include_unknown}{logical to indicate whether 'unknown' microorganisms should be included too, i.e. microbial code \code{"UNKNOWN"}, which defaults to \code{FALSE}. For WHONET users, this means that all records with organism code \code{"con"} (\emph{contamination}) will be excluded at default. Isolates with a microbial ID of \code{NA} will always be excluded as first isolate.}
|
||||
|
||||
\item{include_untested_rsi}{logical to indicate whether also rows without antibiotic results are still eligible for becoming a first isolate. Use \code{include_untested_rsi = FALSE} to always return \code{FALSE} for such rows. This checks the data set for columns of class \verb{<rsi>} and consequently requires transforming columns with antibiotic results using \code{\link[=as.rsi]{as.rsi()}} first.}
|
||||
|
||||
\item{...}{arguments passed on to \code{\link[=first_isolate]{first_isolate()}} when using \code{\link[=filter_first_isolate]{filter_first_isolate()}}, or arguments passed on to \code{\link[=key_antibiotics]{key_antibiotics()}} when using \code{\link[=filter_first_weighted_isolate]{filter_first_weighted_isolate()}}}
|
||||
}
|
||||
|
@ -58,7 +58,7 @@ key_antibiotics_equal(
|
||||
|
||||
\item{type}{type to determine weighed isolates; can be \code{"keyantibiotics"} or \code{"points"}, see \emph{Details}}
|
||||
|
||||
\item{ignore_I}{logical to determine whether antibiotic interpretations with \code{"I"} will be ignored when \code{type = "keyantibiotics"}, see \emph{Details}}
|
||||
\item{ignore_I}{logical to indicate whether antibiotic interpretations with \code{"I"} will be ignored when \code{type = "keyantibiotics"}, see \emph{Details}}
|
||||
|
||||
\item{points_threshold}{points until the comparison of key antibiotics will lead to inclusion of an isolate when \code{type = "points"}, see \emph{Details}}
|
||||
|
||||
|
@ -196,6 +196,10 @@ test_that("first isolates work", {
|
||||
expect_equal(sum(first_isolate(test_unknown)),
|
||||
1045)
|
||||
|
||||
# empty rsi results
|
||||
expect_equal(sum(first_isolate(example_isolates, include_untested_rsi = FALSE)),
|
||||
1287)
|
||||
|
||||
# shortcuts
|
||||
expect_identical(filter_first_isolate(example_isolates),
|
||||
subset(example_isolates, first_isolate(example_isolates)))
|
||||
|
@ -95,20 +95,20 @@ test_that("mic2rsi works", {
|
||||
mo = "B_STRPT_PNMN",
|
||||
ab = "AMP",
|
||||
guideline = "EUCAST 2020")),
|
||||
c("S", "S", "I", "I", "R"), info = pkg_env$strange)
|
||||
c("S", "S", "I", "I", "R"))
|
||||
# S. pneumoniae/amoxicillin in CLSI 2019: 2-8 ug/ml (R is 8 and > 8)
|
||||
expect_equal(as.character(
|
||||
as.rsi(x = as.mic(c(1, 2, 4, 8, 16)),
|
||||
mo = "B_STRPT_PNMN",
|
||||
ab = "AMX",
|
||||
guideline = "CLSI 2019")),
|
||||
c("S", "S", "I", "R", "R"), info = pkg_env$strange)
|
||||
c("S", "S", "I", "R", "R"))
|
||||
|
||||
# cutoffs at MIC = 8
|
||||
expect_equal(as.rsi(as.mic(2), "E. coli", "ampicillin", guideline = "EUCAST 2020"),
|
||||
as.rsi("S"), info = pkg_env$strange)
|
||||
as.rsi("S"))
|
||||
expect_equal(as.rsi(as.mic(32), "E. coli", "ampicillin", guideline = "EUCAST 2020"),
|
||||
as.rsi("R"), info = pkg_env$strange)
|
||||
as.rsi("R"))
|
||||
|
||||
expect_true(suppressWarnings(example_isolates %>%
|
||||
mutate(amox_mic = as.mic(2)) %>%
|
||||
|
Loading…
Reference in New Issue
Block a user