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(v1.5.0.9015) unit test fix, grouped first isolates

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dr. M.S. (Matthijs) Berends 2021-02-04 16:48:16 +01:00
parent 2eca8c3f01
commit 8fda473e49
44 changed files with 239 additions and 168 deletions
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4
DESCRIPTION
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@ -1,6 +1,6 @@
Package: AMR Package: AMR
Version: 1.5.0.9014 Version: 1.5.0.9015
Date: 2021-02-02 Date: 2021-02-04
Title: Antimicrobial Resistance Data Analysis Title: Antimicrobial Resistance Data Analysis
Authors@R: c( Authors@R: c(
person(role = c("aut", "cre"), person(role = c("aut", "cre"),

7
NEWS.md
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@ -1,5 +1,5 @@
# AMR 1.5.0.9014 # AMR 1.5.0.9015
## <small>Last updated: 2 February 2021</small> ## <small>Last updated: 4 February 2021</small>
### Breaking ### Breaking
* Functions that are applied to a data set containing antibiotic columns gained the argument `only_rsi_columns`, which defaults to `TRUE` if any of the columns are of class `<rsi>` (i.e., transformed with `as.rsi()`). This increases reliability of automatic determination of antibiotic columns (so only columns that are defined to be `<rsi>` will be affected). * Functions that are applied to a data set containing antibiotic columns gained the argument `only_rsi_columns`, which defaults to `TRUE` if any of the columns are of class `<rsi>` (i.e., transformed with `as.rsi()`). This increases reliability of automatic determination of antibiotic columns (so only columns that are defined to be `<rsi>` will be affected).
@ -48,8 +48,9 @@
``` ```
### Changed ### Changed
* `is.rsi()` now returns a vector of `TRUE`/`FALSE` when the input is a data set, in case it will iterate over all columns * `is.rsi()` and `is.rsi.eligible()` now return a vector of `TRUE`/`FALSE` when the input is a data set, by iterating over all columns
* Using functions without setting a data set (e.g., `mo_is_gram_negative()`, `mo_is_gram_positive()`, `mo_is_intrinsic_resistant()`, `first_isolate()`, `mdro()`) now work with `dplyr`s `group_by()` again * Using functions without setting a data set (e.g., `mo_is_gram_negative()`, `mo_is_gram_positive()`, `mo_is_intrinsic_resistant()`, `first_isolate()`, `mdro()`) now work with `dplyr`s `group_by()` again
* `first_isolate()` can be used with `group_by()` (also when using a dot `.` as input for the data) and now returns the names of the groups
* Updated the data set `microorganisms.codes` (which contains popular LIS and WHONET codes for microorganisms) for some species of *Mycobacterium* that previously incorrectly returned *M. africanum* * Updated the data set `microorganisms.codes` (which contains popular LIS and WHONET codes for microorganisms) for some species of *Mycobacterium* that previously incorrectly returned *M. africanum*
* Added Pretomanid (PMD, J04AK08) to the `antibiotics` data set * Added Pretomanid (PMD, J04AK08) to the `antibiotics` data set
* WHONET code `"PNV"` will now correctly be interpreted as `PHN`, the antibiotic code for phenoxymethylpenicillin ('peni V') * WHONET code `"PNV"` will now correctly be interpreted as `PHN`, the antibiotic code for phenoxymethylpenicillin ('peni V')

29
R/aa_helper_functions.R
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@ -85,7 +85,7 @@ check_dataset_integrity <- function() {
warning_(ifelse(length(overwritten) == 1, warning_(ifelse(length(overwritten) == 1,
"The following data set is overwritten by your global environment and prevents the AMR package from working correctly: ", "The following data set is overwritten by your global environment and prevents the AMR package from working correctly: ",
"The following data sets are overwritten by your global environment and prevent the AMR package from working correctly: "), "The following data sets are overwritten by your global environment and prevent the AMR package from working correctly: "),
paste0("'", overwritten, "'", collapse = ", "), vector_and(overwritten, quotes = "'"),
".\nPlease rename your object(s).", call = FALSE) ".\nPlease rename your object(s).", call = FALSE)
} }
# check if other packages did not overwrite our data sets # check if other packages did not overwrite our data sets
@ -442,29 +442,38 @@ create_ab_documentation <- function(ab) {
out out
} }
vector_or <- function(v, quotes = TRUE, reverse = FALSE, last_sep = " or ") { vector_or <- function(v, quotes = TRUE, reverse = FALSE, sort = TRUE, last_sep = " or ") {
# makes unique and sorts, and this also removed NAs # makes unique and sorts, and this also removed NAs
v <- sort(unique(v)) v <- unique(v)
if (length(v) == 1) { if (isTRUE(sort)) {
return(paste0(ifelse(quotes, '"', ""), v, ifelse(quotes, '"', ""))) v <- sort(v)
} }
if (reverse == TRUE) { if (isTRUE(reverse)) {
v <- rev(v) v <- rev(v)
} }
if (identical(v, c("I", "R", "S"))) {
# class <rsi> should be sorted like this
v <- c("R", "S", "I")
}
if (isTRUE(quotes)) { if (isTRUE(quotes)) {
quotes <- '"' quotes <- '"'
} else if (isFALSE(quotes)) { } else if (isFALSE(quotes)) {
quotes <- "" quotes <- ""
} else {
quotes <- quotes[1L]
}
if (length(v) == 1) {
return(paste0(quotes, v, quotes))
}
if (identical(v, c("I", "R", "S"))) {
# class <rsi> should be sorted like this
v <- c("R", "S", "I")
} }
# all commas except for last item, so will become '"val1", "val2", "val3" or "val4"' # all commas except for last item, so will become '"val1", "val2", "val3" or "val4"'
paste0(paste0(quotes, v[seq_len(length(v) - 1)], quotes, collapse = ", "), paste0(paste0(quotes, v[seq_len(length(v) - 1)], quotes, collapse = ", "),
last_sep, paste0(quotes, v[length(v)], quotes)) last_sep, paste0(quotes, v[length(v)], quotes))
} }
vector_and <- function(v, quotes = TRUE, reverse = FALSE, sort = TRUE) {
vector_or(v = v, quotes = quotes, reverse = reverse, sort = sort, last_sep = " and ")
}
format_class <- function(class, plural) { format_class <- function(class, plural) {
class.bak <- class class.bak <- class
class[class == "numeric"] <- "number" class[class == "numeric"] <- "number"

7
R/ab.R
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@ -134,7 +134,7 @@ as.ab <- function(x, flag_multiple_results = TRUE, info = TRUE, ...) {
} }
if (length(abnames) > 1) { if (length(abnames) > 1) {
message_("More than one result was found for item ", index, ": ", message_("More than one result was found for item ", index, ": ",
paste0(abnames, collapse = ", ")) vector_and(abnames, quotes = FALSE))
} }
} }
found[1L] found[1L]
@ -454,14 +454,13 @@ as.ab <- function(x, flag_multiple_results = TRUE, info = TRUE, ...) {
x_unknown <- x_unknown[!x_unknown %in% x_unknown_ATCs] x_unknown <- x_unknown[!x_unknown %in% x_unknown_ATCs]
if (length(x_unknown_ATCs) > 0) { if (length(x_unknown_ATCs) > 0) {
warning_("These ATC codes are not (yet) in the antibiotics data set: ", warning_("These ATC codes are not (yet) in the antibiotics data set: ",
paste('"', sort(unique(x_unknown_ATCs)), '"', sep = "", collapse = ", "), vector_and(x_unknown_ATCs), ".",
".",
call = FALSE) call = FALSE)
} }
if (length(x_unknown) > 0 & fast_mode == FALSE) { if (length(x_unknown) > 0 & fast_mode == FALSE) {
warning_("These values could not be coerced to a valid antimicrobial ID: ", warning_("These values could not be coerced to a valid antimicrobial ID: ",
paste('"', sort(unique(x_unknown)), '"', sep = "", collapse = ", "), vector_and(x_unknown), ".",
".", ".",
call = FALSE) call = FALSE)
} }

6
R/ab_class_selectors.R
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@ -82,13 +82,13 @@
#' } #' }
ab_class <- function(ab_class, ab_class <- function(ab_class,
only_rsi_columns = NULL) { only_rsi_columns = NULL) {
ab_selector(ab_class, function_name = "ab_class") ab_selector(ab_class, function_name = "ab_class", only_rsi_columns = only_rsi_columns)
} }
#' @rdname antibiotic_class_selectors #' @rdname antibiotic_class_selectors
#' @export #' @export
aminoglycosides <- function(only_rsi_columns = NULL) { aminoglycosides <- function(only_rsi_columns = NULL) {
ab_selector("aminoglycoside", function_name = "aminoglycosides") ab_selector("aminoglycoside", function_name = "aminoglycosides", only_rsi_columns = only_rsi_columns)
} }
#' @rdname antibiotic_class_selectors #' @rdname antibiotic_class_selectors
@ -217,7 +217,7 @@ ab_selector <- function(ab_class,
need_name <- tolower(gsub("[^a-zA-Z]", "", agents)) != tolower(gsub("[^a-zA-Z]", "", agents_names)) need_name <- tolower(gsub("[^a-zA-Z]", "", agents)) != tolower(gsub("[^a-zA-Z]", "", agents_names))
agents_formatted[need_name] <- paste0(agents_formatted[need_name], agents_formatted[need_name] <- paste0(agents_formatted[need_name],
" (", agents_names[need_name], ")") " (", agents_names[need_name], ")")
message_("Selecting ", ab_group, ": ", paste(agents_formatted, collapse = ", "), message_("Selecting ", ab_group, ": ", vector_and(agents_formatted, quotes = FALSE),
as_note = FALSE, as_note = FALSE,
extra_indent = 4) extra_indent = 4)
} }

2
R/ab_from_text.R
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@ -29,7 +29,7 @@
#' @inheritSection lifecycle Maturing Lifecycle #' @inheritSection lifecycle Maturing Lifecycle
#' @param text text to analyse #' @param text text to analyse
#' @param type type of property to search for, either `"drug"`, `"dose"` or `"administration"`, see *Examples* #' @param type type of property to search for, either `"drug"`, `"dose"` or `"administration"`, see *Examples*
#' @param collapse character to pass on to `paste(..., collapse = ...)` to only return one character per element of `text`, see *Examples* #' @param collapse character to pass on to `paste(, collapse = ...)` to only return one character per element of `text`, see *Examples*
#' @param translate_ab if `type = "drug"`: a column name of the [antibiotics] data set to translate the antibiotic abbreviations to, using [ab_property()]. Defaults to `FALSE`. Using `TRUE` is equal to using "name". #' @param translate_ab if `type = "drug"`: a column name of the [antibiotics] data set to translate the antibiotic abbreviations to, using [ab_property()]. Defaults to `FALSE`. Using `TRUE` is equal to using "name".
#' @param thorough_search logical to indicate whether the input must be extensively searched for misspelling and other faulty input values. Setting this to `TRUE` will take considerably more time than when using `FALSE`. At default, it will turn `TRUE` when all input elements contain a maximum of three words. #' @param thorough_search logical to indicate whether the input must be extensively searched for misspelling and other faulty input values. Setting this to `TRUE` will take considerably more time than when using `FALSE`. At default, it will turn `TRUE` when all input elements contain a maximum of three words.
#' @param ... arguments passed on to [as.ab()] #' @param ... arguments passed on to [as.ab()]

2
R/ab_property.R
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@ -225,7 +225,7 @@ ab_url <- function(x, open = FALSE, ...) {
NAs <- ab_name(ab, tolower = TRUE, language = NULL)[!is.na(ab) & is.na(ab_atc(ab))] NAs <- ab_name(ab, tolower = TRUE, language = NULL)[!is.na(ab) & is.na(ab_atc(ab))]
if (length(NAs) > 0) { if (length(NAs) > 0) {
warning_("No ATC code available for ", paste0(NAs, collapse = ", "), ".") warning_("No ATC code available for ", vector_and(NAs, quotes = FALSE), ".")
} }
if (open == TRUE) { if (open == TRUE) {

4
R/disk.R
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@ -98,8 +98,8 @@ as.disk <- function(x, na.rm = FALSE) {
if (na_before != na_after) { if (na_before != na_after) {
list_missing <- x.bak[is.na(x) & !is.na(x.bak)] %pm>% list_missing <- x.bak[is.na(x) & !is.na(x.bak)] %pm>%
unique() %pm>% unique() %pm>%
sort() sort() %pm>%
list_missing <- paste0('"', list_missing, '"', collapse = ", ") vector_and(quotes = TRUE)
warning_(na_after - na_before, " results truncated (", warning_(na_after - na_before, " results truncated (",
round(((na_after - na_before) / length(x)) * 100), round(((na_after - na_before) / length(x)) * 100),
"%) that were invalid disk zones: ", "%) that were invalid disk zones: ",

23
R/eucast_rules.R
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@ -57,7 +57,8 @@ format_eucast_version_nr <- function(version, markdown = TRUE) {
" (", lst[[v]]$year, ")")) " (", lst[[v]]$year, ")"))
} }
} }
paste0(txt, collapse = ", ")
vector_and(txt, quotes = FALSE)
} }
#' Apply EUCAST Rules #' Apply EUCAST Rules
@ -73,7 +74,7 @@ format_eucast_version_nr <- function(version, markdown = TRUE) {
#' @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. #' @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.
#' @param version_breakpoints the version number to use for the EUCAST Clinical Breakpoints guideline. Can be either `r vector_or(names(EUCAST_VERSION_BREAKPOINTS), reverse = TRUE)`. #' @param version_breakpoints the version number to use for the EUCAST Clinical Breakpoints guideline. Can be either `r vector_or(names(EUCAST_VERSION_BREAKPOINTS), reverse = TRUE)`.
#' @param version_expertrules the version number to use for the EUCAST Expert Rules and Intrinsic Resistance guideline. Can be either `r vector_or(names(EUCAST_VERSION_EXPERT_RULES), reverse = TRUE)`. #' @param version_expertrules the version number to use for the EUCAST Expert Rules and Intrinsic Resistance guideline. Can be either `r vector_or(names(EUCAST_VERSION_EXPERT_RULES), reverse = TRUE)`.
#' @param ampc_cephalosporin_resistance a character value that should be applied for AmpC de-repressed cephalosporin-resistant mutants, defaults to `NA`. Currently only works when `version_expertrules` is `3.2`; '*EUCAST Expert Rules v3.2 on Enterobacterales*' states that results of cefotaxime, ceftriaxone and ceftazidime should be reported with a note, or results should be suppressed (emptied) for these agents. A value of `NA` for this argument will remove results for these agents, while e.g. a value of `"R"` will make the results for these agents resistant. Use `NULL` to not alter the results for AmpC de-repressed cephalosporin-resistant mutants. \cr For *EUCAST Expert Rules* v3.2, this rule applies to: `r vector_or(gsub("[^a-zA-Z ]+", "", unlist(strsplit(eucast_rules_file[which(eucast_rules_file$reference.version == 3.2 & eucast_rules_file$reference.rule %like% "ampc"), "this_value"][1], "|", fixed = TRUE))), quotes = "*", last_sep = " and ")`. #' @param ampc_cephalosporin_resistance a character value that should be applied for AmpC de-repressed cephalosporin-resistant mutants, defaults to `NA`. Currently only works when `version_expertrules` is `3.2`; '*EUCAST Expert Rules v3.2 on Enterobacterales*' states that results of cefotaxime, ceftriaxone and ceftazidime should be reported with a note, or results should be suppressed (emptied) for these agents. A value of `NA` for this argument will remove results for these agents, while e.g. a value of `"R"` will make the results for these agents resistant. Use `NULL` to not alter the results for AmpC de-repressed cephalosporin-resistant mutants. \cr For *EUCAST Expert Rules* v3.2, this rule applies to: `r vector_and(gsub("[^a-zA-Z ]+", "", unlist(strsplit(eucast_rules_file[which(eucast_rules_file$reference.version == 3.2 & eucast_rules_file$reference.rule %like% "ampc"), "this_value"][1], "|", fixed = TRUE))), quotes = "*")`.
#' @param ... column name of an antibiotic, see section *Antibiotics* below #' @param ... column name of an antibiotic, see section *Antibiotics* below
#' @param ab any (vector of) text that can be coerced to a valid antibiotic code with [as.ab()] #' @param ab any (vector of) text that can be coerced to a valid antibiotic code with [as.ab()]
#' @param administration route of administration, either `r vector_or(dosage$administration)` #' @param administration route of administration, either `r vector_or(dosage$administration)`
@ -282,6 +283,16 @@ eucast_rules <- function(x,
only_rsi_columns = only_rsi_columns, only_rsi_columns = only_rsi_columns,
...) ...)
if (only_rsi_columns == TRUE && !paste0(sys.calls()[1], collapse = "") %like% "only_rsi_columns") {
cols_rsi_eligible <- colnames(x[, is.rsi.eligible(x), drop = FALSE])
if (length(cols_rsi_eligible) > 0) {
message_("These columns might be eligible for EUCAST rules, but are ignored since `only_rsi_columns` is `TRUE`: ",
vector_and(cols_rsi_eligible, quotes = TRUE, sort = FALSE),
as_note = TRUE, add_fn = font_red)
}
}
AMC <- cols_ab["AMC"] AMC <- cols_ab["AMC"]
AMK <- cols_ab["AMK"] AMK <- cols_ab["AMK"]
AMP <- cols_ab["AMP"] AMP <- cols_ab["AMP"]
@ -737,12 +748,8 @@ eucast_rules <- function(x,
} else { } else {
if (info == TRUE) { if (info == TRUE) {
message_("\n\nSkipping inheritance rules defined by this package, such as setting trimethoprim (TMP) = R where trimethoprim/sulfamethoxazole (SXT) = R.", cat("\n")
as_note = FALSE, message_("Skipping inheritance rules defined by this package, such as setting trimethoprim (TMP) = R where trimethoprim/sulfamethoxazole (SXT) = R. Use `eucast_rules(..., rules = \"all\")` to also apply those rules.")
add_fn = font_red)
message_("Use eucast_rules(..., rules = \"all\") to also apply those rules.",
as_note = FALSE,
add_fn = font_red)
} }
} }

52
R/first_isolate.R
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@ -100,25 +100,28 @@
#' # See ?example_isolates. #' # See ?example_isolates.
#' #'
#' # basic filtering on first isolates #' # basic filtering on first isolates
#' example_isolates[first_isolate(example_isolates), ] #' example_isolates[first_isolate(), ]
#' #'
#' # filtering based on isolates ----------------------------------------------
#' \donttest{ #' \donttest{
#' # get all first Gram-negatives
#' example_isolates[which(first_isolate() & mo_is_gram_negative()), ]
#'
#' if (require("dplyr")) { #' if (require("dplyr")) {
#' # filter on first isolates: #' # filter on first isolates using dplyr:
#' example_isolates %>% #' example_isolates %>%
#' mutate(first_isolate = first_isolate(.)) %>% #' filter(first_isolate())
#' filter(first_isolate == TRUE)
#' #'
#' # short-hand versions: #' # short-hand versions:
#' example_isolates %>% #' example_isolates %>%
#' filter(first_isolate())
#' example_isolates %>%
#' filter_first_isolate() #' filter_first_isolate()
#'
#' example_isolates %>% #' example_isolates %>%
#' filter_first_weighted_isolate() #' filter_first_weighted_isolate()
#' #'
#' # grouped determination of first isolates (also prints group names):
#' example_isolates %>%
#' group_by(hospital_id) %>%
#' mutate(first = first_isolate())
#'
#' # now let's see if first isolates matter: #' # now let's see if first isolates matter:
#' A <- example_isolates %>% #' A <- example_isolates %>%
#' group_by(hospital_id) %>% #' group_by(hospital_id) %>%
@ -194,6 +197,14 @@ first_isolate <- function(x,
} }
} }
# fix for using a grouped df as input (a dot as first argument)
# such as example_isolates %>% group_by(hospital_id) %>% mutate(first_isolate = first_isolate(.))
if (inherits(x, "grouped_df")) {
# get_current_data() contains dplyr::cur_data_all()
x <- tryCatch(get_current_data(arg_name = "x", 0),
error = function(e) x)
}
# remove data.table, grouping from tibbles, etc. # remove data.table, grouping from tibbles, etc.
x <- as.data.frame(x, stringsAsFactors = FALSE) x <- as.data.frame(x, stringsAsFactors = FALSE)
@ -427,12 +438,33 @@ first_isolate <- function(x,
decimal.mark <- getOption("OutDec") decimal.mark <- getOption("OutDec")
big.mark <- ifelse(decimal.mark != ",", ",", ".") big.mark <- ifelse(decimal.mark != ",", ",", ".")
if (info == TRUE) {
# print group name if used in dplyr::group_by()
cur_group <- import_fn("cur_group", "dplyr", error_on_fail = FALSE)
if (!is.null(cur_group)) {
group_df <- tryCatch(cur_group(), error = function(e) data.frame())
if (NCOL(group_df) > 0) {
# transform factors to characters
group <- vapply(FUN.VALUE = character(1), group_df, function(x) {
if (is.numeric(x)) {
format(x)
} else if (is.logical(x)) {
as.character(x)
} else {
paste0('"', x, '"')
}
})
cat("\nGroup: ", paste0(names(group), " = ", group, collapse = ", "), "\n", sep = "")
}
}
}
# handle empty microorganisms # handle empty microorganisms
if (any(x$newvar_mo == "UNKNOWN", na.rm = TRUE) & info == TRUE) { if (any(x$newvar_mo == "UNKNOWN", na.rm = TRUE) & info == TRUE) {
message_(ifelse(include_unknown == TRUE, "Included ", "Excluded "), message_(ifelse(include_unknown == TRUE, "Included ", "Excluded "),
format(sum(x$newvar_mo == "UNKNOWN", na.rm = TRUE), format(sum(x$newvar_mo == "UNKNOWN", na.rm = TRUE),
decimal.mark = decimal.mark, big.mark = big.mark), decimal.mark = decimal.mark, big.mark = big.mark),
" isolates with a microbial ID 'UNKNOWN' (column '", font_bold(col_mo), "')") " isolates with a microbial ID 'UNKNOWN' (in column '", font_bold(col_mo), "')")
} }
x[which(x$newvar_mo == "UNKNOWN"), "newvar_first_isolate"] <- include_unknown x[which(x$newvar_mo == "UNKNOWN"), "newvar_first_isolate"] <- include_unknown
@ -440,7 +472,7 @@ first_isolate <- function(x,
if (any(is.na(x$newvar_mo)) & info == TRUE) { if (any(is.na(x$newvar_mo)) & info == TRUE) {
message_("Excluded ", format(sum(is.na(x$newvar_mo), na.rm = TRUE), message_("Excluded ", format(sum(is.na(x$newvar_mo), na.rm = TRUE),
decimal.mark = decimal.mark, big.mark = big.mark), decimal.mark = decimal.mark, big.mark = big.mark),
" isolates with a microbial ID 'NA' (column '", font_bold(col_mo), "')") " isolates with a microbial ID 'NA' (in column '", font_bold(col_mo), "')")
} }
x[which(is.na(x$newvar_mo)), "newvar_first_isolate"] <- FALSE x[which(is.na(x$newvar_mo)), "newvar_first_isolate"] <- FALSE

7
R/guess_ab_col.R
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@ -67,6 +67,7 @@ guess_ab_col <- function(x = NULL, search_string = NULL, verbose = FALSE, only_r
meet_criteria(x, allow_class = "data.frame", allow_NULL = TRUE) meet_criteria(x, allow_class = "data.frame", allow_NULL = TRUE)
meet_criteria(search_string, allow_class = "character", has_length = 1, allow_NULL = TRUE) meet_criteria(search_string, allow_class = "character", has_length = 1, allow_NULL = TRUE)
meet_criteria(verbose, allow_class = "logical", has_length = 1) meet_criteria(verbose, allow_class = "logical", has_length = 1)
meet_criteria(only_rsi_columns, allow_class = "logical", has_length = 1)
if (is.null(x) & is.null(search_string)) { if (is.null(x) & is.null(search_string)) {
return(as.name("guess_ab_col")) return(as.name("guess_ab_col"))
@ -225,9 +226,9 @@ get_column_abx <- function(x,
if (info == TRUE & !all(soft_dependencies %in% names(x))) { if (info == TRUE & !all(soft_dependencies %in% names(x))) {
# missing a soft dependency may lower the reliability # missing a soft dependency may lower the reliability
missing <- soft_dependencies[!soft_dependencies %in% names(x)] missing <- soft_dependencies[!soft_dependencies %in% names(x)]
missing_msg <- paste(paste0(ab_name(missing, tolower = TRUE, language = NULL), missing_msg <- vector_and(paste0(ab_name(missing, tolower = TRUE, language = NULL),
" (", font_bold(missing, collapse = NULL), ")"), " (", font_bold(missing, collapse = NULL), ")"),
collapse = ", ") quotes = FALSE)
message_("Reliability would be improved if these antimicrobial results would be available too: ", message_("Reliability would be improved if these antimicrobial results would be available too: ",
missing_msg) missing_msg)
} }
@ -243,7 +244,7 @@ generate_warning_abs_missing <- function(missing, any = FALSE) {
any_txt <- c("", "are") any_txt <- c("", "are")
} }
warning_(paste0("Introducing NAs since", any_txt[1], " these antimicrobials ", any_txt[2], " required: ", warning_(paste0("Introducing NAs since", any_txt[1], " these antimicrobials ", any_txt[2], " required: ",
paste(missing, collapse = ", ")), vector_and(missing, quotes = FALSE)),
immediate = TRUE, immediate = TRUE,
call = FALSE) call = FALSE)
} }

9
R/mdro.R
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@ -497,6 +497,15 @@ mdro <- function(x,
...) ...)
} }
if (only_rsi_columns == TRUE) {
cols_rsi_eligible <- colnames(x[, is.rsi.eligible(x), drop = FALSE])
if (length(cols_rsi_eligible) > 0) {
message_("These columns might be eligible for determining ", guideline$type, ", but are ignored since `only_rsi_columns` is `TRUE`: ",
vector_and(cols_rsi_eligible, quotes = TRUE, sort = FALSE),
as_note = TRUE, add_fn = font_red)
}
}
# nolint start # nolint start
AMC <- cols_ab["AMC"] AMC <- cols_ab["AMC"]
AMK <- cols_ab["AMK"] AMK <- cols_ab["AMK"]

4
R/mic.R
View File

@ -123,8 +123,8 @@ as.mic <- function(x, na.rm = FALSE) {
if (na_before != na_after) { if (na_before != na_after) {
list_missing <- x.bak[is.na(x) & !is.na(x.bak) & x.bak != ""] %pm>% list_missing <- x.bak[is.na(x) & !is.na(x.bak) & x.bak != ""] %pm>%
unique() %pm>% unique() %pm>%
sort() sort() %pm>%
list_missing <- paste0('"', list_missing, '"', collapse = ", ") vector_and(quotes = TRUE)
warning_(na_after - na_before, " results truncated (", warning_(na_after - na_before, " results truncated (",
round(((na_after - na_before) / length(x)) * 100), round(((na_after - na_before) / length(x)) * 100),
"%) that were invalid MICs: ", "%) that were invalid MICs: ",

12
R/mo.R
View File

@ -1418,7 +1418,7 @@ exec_as.mo <- function(x,
" (covering ", percentage(total_failures / total_n), " (covering ", percentage(total_failures / total_n),
") could not be coerced and ", plural[3], " considered 'unknown'") ") could not be coerced and ", plural[3], " considered 'unknown'")
if (pm_n_distinct(failures) <= 10) { if (pm_n_distinct(failures) <= 10) {
msg <- paste0(msg, ": ", paste('"', unique(failures), '"', sep = "", collapse = ", ")) msg <- paste0(msg, ": ", vector_and(failures, quotes = TRUE))
} }
msg <- paste0(msg, msg <- paste0(msg,
".\nUse mo_failures() to review ", plural[2], ". Edit the `allow_uncertain` argument if needed (see ?as.mo).\n", ".\nUse mo_failures() to review ", plural[2], ". Edit the `allow_uncertain` argument if needed (see ?as.mo).\n",
@ -1450,7 +1450,7 @@ exec_as.mo <- function(x,
# - Becker et al. 2014, PMID 25278577 # - Becker et al. 2014, PMID 25278577
# - Becker et al. 2019, PMID 30872103 # - Becker et al. 2019, PMID 30872103
# - Becker et al. 2020, PMID 32056452 # - Becker et al. 2020, PMID 32056452
post_Becker <- character(0) # 2020-10-20 currently all are mentioned in above papers (otherwise uncomment below) post_Becker <- character(0) # 2020-10-20 currently all are mentioned in above papers (otherwise uncomment the section below)
# nolint start # nolint start
# if (any(x %in% MO_lookup[which(MO_lookup$species %in% post_Becker), property])) { # if (any(x %in% MO_lookup[which(MO_lookup$species %in% post_Becker), property])) {
@ -1796,7 +1796,6 @@ print.mo_uncertainties <- function(x, ...) {
return(NULL) return(NULL)
} }
message_("Matching scores are based on human pathogenic prevalence and the resemblance between the input and the full taxonomic name. See ?mo_matching_score.", as_note = FALSE) message_("Matching scores are based on human pathogenic prevalence and the resemblance between the input and the full taxonomic name. See ?mo_matching_score.", as_note = FALSE)
cat("\n")
msg <- "" msg <- ""
for (i in seq_len(nrow(x))) { for (i in seq_len(nrow(x))) {
@ -1807,7 +1806,7 @@ print.mo_uncertainties <- function(x, ...) {
candidates <- candidates[order(1 - scores)] candidates <- candidates[order(1 - scores)]
scores_formatted <- trimws(formatC(round(scores, 3), format = "f", digits = 3)) scores_formatted <- trimws(formatC(round(scores, 3), format = "f", digits = 3))
n_candidates <- length(candidates) n_candidates <- length(candidates)
candidates <- paste0(candidates, " (", scores_formatted[order(1 - scores)], ")", collapse = ", ") candidates <- vector_and(paste0(candidates, " (", scores_formatted[order(1 - scores)], ")"), quotes = FALSE)
# align with input after arrow # align with input after arrow
candidates <- paste0("\n", candidates <- paste0("\n",
strwrap(paste0("Also matched", strwrap(paste0("Also matched",
@ -1987,9 +1986,8 @@ replace_ignore_pattern <- function(x, ignore_pattern) {
ignore_cases <- x %like% ignore_pattern ignore_cases <- x %like% ignore_pattern
if (sum(ignore_cases) > 0) { if (sum(ignore_cases) > 0) {
message_("The following input was ignored by `ignore_pattern = \"", ignore_pattern, "\"`: ", message_("The following input was ignored by `ignore_pattern = \"", ignore_pattern, "\"`: ",
paste0("'", sort(unique(x[x %like% ignore_pattern])), "'", collapse = ", "), vector_and(x[ignore_cases], quotes = TRUE))
collapse = ", ") x[ignore_cases] <- NA_character_
x[x %like% ignore_pattern] <- NA_character_
} }
} }
x x

2
R/mo_property.R
View File

@ -28,7 +28,7 @@
#' Use these functions to return a specific property of a microorganism based on the latest accepted taxonomy. All input values will be evaluated internally with [as.mo()], which makes it possible to use microbial abbreviations, codes and names as input. See *Examples*. #' Use these functions to return a specific property of a microorganism based on the latest accepted taxonomy. All input values will be evaluated internally with [as.mo()], which makes it possible to use microbial abbreviations, codes and names as input. See *Examples*.
#' @inheritSection lifecycle Stable Lifecycle #' @inheritSection lifecycle Stable Lifecycle
#' @param x any character (vector) that can be coerced to a valid microorganism code with [as.mo()]. Can be left blank for auto-guessing the column containing microorganism codes if used in a data set, see *Examples*. #' @param x any character (vector) that can be coerced to a valid microorganism code with [as.mo()]. Can be left blank for auto-guessing the column containing microorganism codes if used in a data set, see *Examples*.
#' @param property one of the column names of the [microorganisms] data set: `r paste0('"``', colnames(microorganisms), '\``"', collapse = ", ")`, or must be `"shortname"` #' @param property one of the column names of the [microorganisms] data set: `r vector_or(colnames(microorganisms), sort = FALSE, quotes = TRUE)`, or must be `"shortname"`
#' @param language language of the returned text, defaults to system language (see [get_locale()]) and can be overwritten by setting the option `AMR_locale`, e.g. `options(AMR_locale = "de")`, see [translate]. Also used to translate text like "no growth". Use `language = NULL` or `language = ""` to prevent translation. #' @param language language of the returned text, defaults to system language (see [get_locale()]) and can be overwritten by setting the option `AMR_locale`, e.g. `options(AMR_locale = "de")`, see [translate]. Also used to translate text like "no growth". Use `language = NULL` or `language = ""` to prevent translation.
#' @param ... other arguments passed on to [as.mo()], such as 'allow_uncertain' and 'ignore_pattern' #' @param ... other arguments passed on to [as.mo()], such as 'allow_uncertain' and 'ignore_pattern'
#' @param ab any (vector of) text that can be coerced to a valid antibiotic code with [as.ab()] #' @param ab any (vector of) text that can be coerced to a valid antibiotic code with [as.ab()]

4
R/mo_source.R
View File

@ -283,9 +283,9 @@ check_validity_mo_source <- function(x, refer_to_name = "`reference_df`", stop_o
} else { } else {
plural <- "" plural <- ""
} }
stop_("Value", plural, " ", paste0("'", invalid[, 1, drop = TRUE], "'", collapse = ", "), stop_("Value", plural, " ", vector_and(invalid[, 1, drop = TRUE], quotes = TRUE),
" found in ", tolower(refer_to_name), " found in ", tolower(refer_to_name),
", but with invalid microorganism code", plural, " ", paste0("'", invalid$mo, "'", collapse = ", "), ", but with invalid microorganism code", plural, " ", vector_and(invalid$mo, quotes = TRUE),
call = FALSE) call = FALSE)
} else { } else {
return(FALSE) return(FALSE)

4
R/pca.R
View File

@ -117,9 +117,7 @@ pca <- function(x,
pca_data <- x[, which(vapply(FUN.VALUE = logical(1), x, function(x) is.numeric(x)))] pca_data <- x[, which(vapply(FUN.VALUE = logical(1), x, function(x) is.numeric(x)))]
message_("Columns selected for PCA: ", vector_or(font_bold(colnames(pca_data), collapse = NULL), message_("Columns selected for PCA: ", vector_and(font_bold(colnames(pca_data), collapse = NULL), quotes = TRUE),
quotes = "'",
last_sep = " and "),
". Total observations available: ", nrow(pca_data), ".") ". Total observations available: ", nrow(pca_data), ".")
if (as.double(R.Version()$major) + (as.double(R.Version()$minor) / 10) < 3.4) { if (as.double(R.Version()$major) + (as.double(R.Version()$minor) / 10) < 3.4) {

19
R/rsi.R
View File

@ -65,7 +65,7 @@
#' #'
#' ## Supported Guidelines #' ## Supported Guidelines
#' #'
#' For interpreting MIC values as well as disk diffusion diameters, supported guidelines to be used as input for the `guideline` argument are: `r paste0('"', sort(unique(AMR::rsi_translation$guideline)), '"', collapse = ", ")`. #' For interpreting MIC values as well as disk diffusion diameters, supported guidelines to be used as input for the `guideline` argument are: `r vector_and(AMR::rsi_translation$guideline, quotes = TRUE, reverse = TRUE)`.
#' #'
#' Simply using `"CLSI"` or `"EUCAST"` as input will automatically select the latest version of that guideline. You can set your own data set using the `reference_data` argument. The `guideline` argument will then be ignored. #' Simply using `"CLSI"` or `"EUCAST"` as input will automatically select the latest version of that guideline. You can set your own data set using the `reference_data` argument. The `guideline` argument will then be ignored.
#' #'
@ -79,9 +79,9 @@
#' #'
#' ## Other #' ## Other
#' #'
#' The function [is.rsi()] detects if the input contains class `<rsi>`. If the input is a data.frame, it returns a vector in which all columns are checked for this class. #' The function [is.rsi()] detects if the input contains class `<rsi>`. If the input is a data.frame, it iterates over all columns and returns a logical vector.
#' #'
#' The function [is.rsi.eligible()] returns `TRUE` when a columns contains at most 5% invalid antimicrobial interpretations (not S and/or I and/or R), and `FALSE` otherwise. The threshold of 5% can be set with the `threshold` argument. #' The function [is.rsi.eligible()] returns `TRUE` when a columns contains at most 5% invalid antimicrobial interpretations (not S and/or I and/or R), and `FALSE` otherwise. The threshold of 5% can be set with the `threshold` argument. If the input is a data.frame, it iterates over all columns and returns a logical vector.
#' @section Interpretation of R and S/I: #' @section Interpretation of R and S/I:
#' In 2019, the European Committee on Antimicrobial Susceptibility Testing (EUCAST) has decided to change the definitions of susceptibility testing categories R and S/I as shown below (<https://www.eucast.org/newsiandr/>). #' In 2019, the European Committee on Antimicrobial Susceptibility Testing (EUCAST) has decided to change the definitions of susceptibility testing categories R and S/I as shown below (<https://www.eucast.org/newsiandr/>).
#' #'
@ -203,6 +203,10 @@ is.rsi <- function(x) {
is.rsi.eligible <- function(x, threshold = 0.05) { is.rsi.eligible <- function(x, threshold = 0.05) {
meet_criteria(threshold, allow_class = "numeric", has_length = 1) meet_criteria(threshold, allow_class = "numeric", has_length = 1)
if (inherits(x, "data.frame")) {
return(unname(vapply(FUN.VALUE = logical(1), x, is.rsi.eligible)))
}
stop_if(NCOL(x) > 1, "`x` must be a one-dimensional vector.") stop_if(NCOL(x) > 1, "`x` must be a one-dimensional vector.")
if (any(c("numeric", if (any(c("numeric",
"integer", "integer",
@ -294,8 +298,8 @@ as.rsi.default <- function(x, ...) {
if (na_before != na_after) { if (na_before != na_after) {
list_missing <- x.bak[is.na(x) & !is.na(x.bak) & x.bak != ""] %pm>% list_missing <- x.bak[is.na(x) & !is.na(x.bak) & x.bak != ""] %pm>%
unique() %pm>% unique() %pm>%
sort() sort() %pm>%
list_missing <- paste0('"', list_missing, '"', collapse = ", ") vector_and(quotes = TRUE)
warning_(na_after - na_before, " results truncated (", warning_(na_after - na_before, " results truncated (",
round(((na_after - na_before) / length(x)) * 100), round(((na_after - na_before) / length(x)) * 100),
"%) that were invalid antimicrobial interpretations: ", "%) that were invalid antimicrobial interpretations: ",
@ -551,7 +555,7 @@ as.rsi.data.frame <- function(x,
plural <- c("", "s", "a ") plural <- c("", "s", "a ")
} }
message_("Assuming value", plural[1], " ", message_("Assuming value", plural[1], " ",
paste(paste0('"', values, '"'), collapse = ", "), vector_and(values, quotes = TRUE),
" in column '", font_bold(col_specimen), " in column '", font_bold(col_specimen),
"' reflect", plural[2], " ", plural[3], "urinary tract infection", plural[1], "' reflect", plural[2], " ", plural[3], "urinary tract infection", plural[1],
".\n Use `as.rsi(uti = FALSE)` to prevent this.") ".\n Use `as.rsi(uti = FALSE)` to prevent this.")
@ -682,10 +686,9 @@ get_guideline <- function(guideline, reference_data) {
stop_ifnot(guideline_param %in% reference_data$guideline, stop_ifnot(guideline_param %in% reference_data$guideline,
"invalid guideline: '", guideline, "invalid guideline: '", guideline,
"'.\nValid guidelines are: ", paste0("'", unique(reference_data$guideline), "'", collapse = ", "), call = FALSE) "'.\nValid guidelines are: ", vector_and(reference_data$guideline, quotes = TRUE, reverse = TRUE), call = FALSE)
guideline_param guideline_param
} }
exec_as.rsi <- function(method, exec_as.rsi <- function(method,

4
R/rsi_calc.R
View File

@ -27,7 +27,7 @@ dots2vars <- function(...) {
# this function is to give more informative output about # this function is to give more informative output about
# variable names in count_* and proportion_* functions # variable names in count_* and proportion_* functions
dots <- substitute(list(...)) dots <- substitute(list(...))
paste(as.character(dots)[2:length(dots)], collapse = ", ") vector_and(as.character(dots)[2:length(dots)], quotes = FALSE)
} }
rsi_calc <- function(..., rsi_calc <- function(...,
@ -78,7 +78,7 @@ rsi_calc <- function(...,
dots <- c(dots[dots %in% colnames(dots_df)], dots <- c(dots[dots %in% colnames(dots_df)],
eval(parse(text = dots[!dots %in% colnames(dots_df)]), envir = dots_df, enclos = globalenv())) eval(parse(text = dots[!dots %in% colnames(dots_df)]), envir = dots_df, enclos = globalenv()))
dots_not_exist <- dots[!dots %in% colnames(dots_df)] dots_not_exist <- dots[!dots %in% colnames(dots_df)]
stop_if(length(dots_not_exist) > 0, "column(s) not found: ", paste0("'", dots_not_exist, "'", collapse = ", "), call = -2) stop_if(length(dots_not_exist) > 0, "column(s) not found: ", vector_and(dots_not_exist, quotes = TRUE), call = -2)
x <- dots_df[, dots, drop = FALSE] x <- dots_df[, dots, drop = FALSE]
} }
} else if (ndots == 1) { } else if (ndots == 1) {

10
R/translate.R
View File

@ -29,7 +29,7 @@
#' @inheritSection lifecycle Stable Lifecycle #' @inheritSection lifecycle Stable Lifecycle
#' @details Strings will be translated to foreign languages if they are defined in a local translation file. Additions to this file can be suggested at our repository. The file can be found here: <https://github.com/msberends/AMR/blob/master/data-raw/translations.tsv>. This file will be read by all functions where a translated output can be desired, like all [`mo_*`][mo_property()] functions (such as [mo_name()], [mo_gramstain()], [mo_type()], etc.) and [`ab_*`][ab_property()] functions (such as [ab_name()], [ab_group()], etc.). #' @details Strings will be translated to foreign languages if they are defined in a local translation file. Additions to this file can be suggested at our repository. The file can be found here: <https://github.com/msberends/AMR/blob/master/data-raw/translations.tsv>. This file will be read by all functions where a translated output can be desired, like all [`mo_*`][mo_property()] functions (such as [mo_name()], [mo_gramstain()], [mo_type()], etc.) and [`ab_*`][ab_property()] functions (such as [ab_name()], [ab_group()], etc.).
#' #'
#' Currently supported languages are: `r paste(sort(gsub(";.*", "", ISOcodes::ISO_639_2[which(ISOcodes::ISO_639_2$Alpha_2 %in% LANGUAGES_SUPPORTED), "Name"])), collapse = ", ")`. Please note that currently not all these languages have translations available for all antimicrobial agents and colloquial microorganism names. #' Currently supported languages are: `r vector_and(gsub(";.*", "", ISOcodes::ISO_639_2[which(ISOcodes::ISO_639_2$Alpha_2 %in% LANGUAGES_SUPPORTED), "Name"]), quotes = FALSE)`. Please note that currently not all these languages have translations available for all antimicrobial agents and colloquial microorganism names.
#' #'
#' Please suggest your own translations [by creating a new issue on our repository](https://github.com/msberends/AMR/issues/new?title=Translations). #' Please suggest your own translations [by creating a new issue on our repository](https://github.com/msberends/AMR/issues/new?title=Translations).
#' #'
@ -83,8 +83,8 @@ get_locale <- function() {
if (lang %in% LANGUAGES_SUPPORTED) { if (lang %in% LANGUAGES_SUPPORTED) {
return(lang) return(lang)
} else { } else {
stop_("unsupported language set as option 'AMR_locale': '", lang, "' - use one of: ", stop_("unsupported language set as option 'AMR_locale': \"", lang, "\" - use either ",
paste0("'", LANGUAGES_SUPPORTED, "'", collapse = ", ")) vector_or(LANGUAGES_SUPPORTED, quotes = TRUE))
} }
} else { } else {
# we now support the LANGUAGE system variable - return it if set # we now support the LANGUAGE system variable - return it if set
@ -138,8 +138,8 @@ translate_AMR <- function(from, language = get_locale(), only_unknown = FALSE) {
from_unique_translated <- from_unique from_unique_translated <- from_unique
stop_ifnot(language %in% LANGUAGES_SUPPORTED, stop_ifnot(language %in% LANGUAGES_SUPPORTED,
"unsupported language: '", language, "' - use one of: ", "unsupported language: \"", language, "\" - use either ",
paste0("'", LANGUAGES_SUPPORTED, "'", collapse = ", "), vector_or(LANGUAGES_SUPPORTED, quotes = TRUE),
call = FALSE) call = FALSE)
df_trans <- subset(df_trans, lang == language) df_trans <- subset(df_trans, lang == language)

BIN
data-raw/AMR_1.5.0.9014.tar.gz → data-raw/AMR_1.5.0.9015.tar.gz
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2
docs/404.html
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@ -81,7 +81,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="https://msberends.github.io/AMR//index.html">AMR (for R)</a> <a class="navbar-link" href="https://msberends.github.io/AMR//index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9014</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9015</span>
</span> </span>
</div> </div>

2
docs/LICENSE-text.html
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@ -81,7 +81,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="index.html">AMR (for R)</a> <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">1.5.0.9014</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9015</span>
</span> </span>
</div> </div>

34
docs/articles/datasets.html
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@ -39,7 +39,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <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">1.5.0.9008</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9015</span>
</span> </span>
</div> </div>
@ -208,7 +208,7 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<div id="microorganisms-currently-accepted-names" class="section level2"> <div id="microorganisms-currently-accepted-names" class="section level2">
<h2 class="hasAnchor"> <h2 class="hasAnchor">
<a href="#microorganisms-currently-accepted-names" class="anchor"></a>Microorganisms (currently accepted names)</h2> <a href="#microorganisms-currently-accepted-names" class="anchor"></a>Microorganisms (currently accepted names)</h2>
<p>A data set with 67,151 rows and 16 columns, containing the following column names:<br><em>‘mo’, ‘fullname’, ‘kingdom’, ‘phylum’, ‘class’, ‘order’, ‘family’, ‘genus’, ‘species’, ‘subspecies’, ‘rank’, ‘ref’, ‘species_id’, ‘source’, ‘prevalence’, ‘snomed’</em>.</p> <p>A data set with 67,151 rows and 16 columns, containing the following column names:<br><em>class</em>, <em>family</em>, <em>fullname</em>, <em>genus</em>, <em>kingdom</em>, <em>mo</em>, <em>order</em>, <em>phylum</em>, <em>prevalence</em>, <em>rank</em>, <em>ref</em>, <em>snomed</em>, <em>source</em>, <em>species</em>, <em>species_id</em> and <em>subspecies</em>.</p>
<p>This data set is in R available as <code>microorganisms</code>, after you load the <code>AMR</code> package.</p> <p>This data set is in R available as <code>microorganisms</code>, after you load the <code>AMR</code> package.</p>
<p>It was last updated on 3 September 2020 20:59:45 CEST. Find more info about the structure of this data set <a href="https://msberends.github.io/AMR/reference/microorganisms.html">here</a>.</p> <p>It was last updated on 3 September 2020 20:59:45 CEST. Find more info about the structure of this data set <a href="https://msberends.github.io/AMR/reference/microorganisms.html">here</a>.</p>
<p><strong>Direct download links:</strong></p> <p><strong>Direct download links:</strong></p>
@ -426,7 +426,7 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<div id="microorganisms-previously-accepted-names" class="section level2"> <div id="microorganisms-previously-accepted-names" class="section level2">
<h2 class="hasAnchor"> <h2 class="hasAnchor">
<a href="#microorganisms-previously-accepted-names" class="anchor"></a>Microorganisms (previously accepted names)</h2> <a href="#microorganisms-previously-accepted-names" class="anchor"></a>Microorganisms (previously accepted names)</h2>
<p>A data set with 12,708 rows and 4 columns, containing the following column names:<br><em>‘fullname’, ‘fullname_new’, ‘ref’, ‘prevalence’</em>.</p> <p>A data set with 12,708 rows and 4 columns, containing the following column names:<br><em>fullname</em>, <em>fullname_new</em>, <em>prevalence</em> and <em>ref</em>.</p>
<p><strong>Note:</strong> remember that the ‘ref’ columns contains the scientific reference to the old taxonomic entries, i.e. of column <em>‘fullname’</em>. For the scientific reference of the new names, i.e. of column <em>‘fullname_new’</em>, see the <code>microorganisms</code> data set.</p> <p><strong>Note:</strong> remember that the ‘ref’ columns contains the scientific reference to the old taxonomic entries, i.e. of column <em>‘fullname’</em>. For the scientific reference of the new names, i.e. of column <em>‘fullname_new’</em>, see the <code>microorganisms</code> data set.</p>
<p>This data set is in R available as <code>microorganisms.old</code>, after you load the <code>AMR</code> package.</p> <p>This data set is in R available as <code>microorganisms.old</code>, after you load the <code>AMR</code> package.</p>
<p>It was last updated on 28 May 2020 11:17:56 CEST. Find more info about the structure of this data set <a href="https://msberends.github.io/AMR/reference/microorganisms.old.html">here</a>.</p> <p>It was last updated on 28 May 2020 11:17:56 CEST. Find more info about the structure of this data set <a href="https://msberends.github.io/AMR/reference/microorganisms.old.html">here</a>.</p>
@ -492,7 +492,7 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<div id="antibiotic-agents" class="section level2"> <div id="antibiotic-agents" class="section level2">
<h2 class="hasAnchor"> <h2 class="hasAnchor">
<a href="#antibiotic-agents" class="anchor"></a>Antibiotic agents</h2> <a href="#antibiotic-agents" class="anchor"></a>Antibiotic agents</h2>
<p>A data set with 456 rows and 14 columns, containing the following column names:<br><em>‘ab’, ‘atc’, ‘cid’, ‘name’, ‘group’, ‘atc_group1’, ‘atc_group2’, ‘abbreviations’, ‘synonyms’, ‘oral_ddd’, ‘oral_units’, ‘iv_ddd’, ‘iv_units’, ‘loinc’</em>.</p> <p>A data set with 456 rows and 14 columns, containing the following column names:<br><em>ab</em>, <em>abbreviations</em>, <em>atc</em>, <em>atc_group1</em>, <em>atc_group2</em>, <em>cid</em>, <em>group</em>, <em>iv_ddd</em>, <em>iv_units</em>, <em>loinc</em>, <em>name</em>, <em>oral_ddd</em>, <em>oral_units</em> and <em>synonyms</em>.</p>
<p>This data set is in R available as <code>antibiotics</code>, after you load the <code>AMR</code> package.</p> <p>This data set is in R available as <code>antibiotics</code>, after you load the <code>AMR</code> package.</p>
<p>It was last updated on 14 January 2021 16:04:41 CET. Find more info about the structure of this data set <a href="https://msberends.github.io/AMR/reference/antibiotics.html">here</a>.</p> <p>It was last updated on 14 January 2021 16:04:41 CET. Find more info about the structure of this data set <a href="https://msberends.github.io/AMR/reference/antibiotics.html">here</a>.</p>
<p><strong>Direct download links:</strong></p> <p><strong>Direct download links:</strong></p>
@ -515,7 +515,7 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<p>This data set contains all EARS-Net and ATC codes gathered from WHO and WHONET, and all compound IDs from PubChem. It also contains all brand names (synonyms) as found on PubChem and Defined Daily Doses (DDDs) for oral and parenteral administration.</p> <p>This data set contains all EARS-Net and ATC codes gathered from WHO and WHONET, and all compound IDs from PubChem. It also contains all brand names (synonyms) as found on PubChem and Defined Daily Doses (DDDs) for oral and parenteral administration.</p>
<ul> <ul>
<li> <li>
<a href="https://www.whocc.no/atc_ddd_index/">ATC/DDD index from WHO Collaborating Centre for Drug Statistics Methodology</a> (note: this may not be used for commercial purposes, but is frelly available from the WHO CC website for personal use)</li> <a href="https://www.whocc.no/atc_ddd_index/">ATC/DDD index from WHO Collaborating Centre for Drug Statistics Methodology</a> (note: this may not be used for commercial purposes, but is freely available from the WHO CC website for personal use)</li>
<li><a href="https://pubchem.ncbi.nlm.nih.gov">PubChem by the US National Library of Medicine</a></li> <li><a href="https://pubchem.ncbi.nlm.nih.gov">PubChem by the US National Library of Medicine</a></li>
<li><a href="https://whonet.org">WHONET software 2019</a></li> <li><a href="https://whonet.org">WHONET software 2019</a></li>
</ul> </ul>
@ -660,7 +660,7 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<div id="antiviral-agents" class="section level2"> <div id="antiviral-agents" class="section level2">
<h2 class="hasAnchor"> <h2 class="hasAnchor">
<a href="#antiviral-agents" class="anchor"></a>Antiviral agents</h2> <a href="#antiviral-agents" class="anchor"></a>Antiviral agents</h2>
<p>A data set with 102 rows and 9 columns, containing the following column names:<br><em>‘atc’, ‘cid’, ‘name’, ‘atc_group’, ‘synonyms’, ‘oral_ddd’, ‘oral_units’, ‘iv_ddd’, ‘iv_units’</em>.</p> <p>A data set with 102 rows and 9 columns, containing the following column names:<br><em>atc</em>, <em>atc_group</em>, <em>cid</em>, <em>iv_ddd</em>, <em>iv_units</em>, <em>name</em>, <em>oral_ddd</em>, <em>oral_units</em> and <em>synonyms</em>.</p>
<p>This data set is in R available as <code>antivirals</code>, after you load the <code>AMR</code> package.</p> <p>This data set is in R available as <code>antivirals</code>, after you load the <code>AMR</code> package.</p>
<p>It was last updated on 29 August 2020 21:53:07 CEST. Find more info about the structure of this data set <a href="https://msberends.github.io/AMR/reference/antibiotics.html">here</a>.</p> <p>It was last updated on 29 August 2020 21:53:07 CEST. Find more info about the structure of this data set <a href="https://msberends.github.io/AMR/reference/antibiotics.html">here</a>.</p>
<p><strong>Direct download links:</strong></p> <p><strong>Direct download links:</strong></p>
@ -683,7 +683,7 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<p>This data set contains all ATC codes gathered from WHO and all compound IDs from PubChem. It also contains all brand names (synonyms) as found on PubChem and Defined Daily Doses (DDDs) for oral and parenteral administration.</p> <p>This data set contains all ATC codes gathered from WHO and all compound IDs from PubChem. It also contains all brand names (synonyms) as found on PubChem and Defined Daily Doses (DDDs) for oral and parenteral administration.</p>
<ul> <ul>
<li> <li>
<a href="https://www.whocc.no/atc_ddd_index/">ATC/DDD index from WHO Collaborating Centre for Drug Statistics Methodology</a> (note: this may not be used for commercial purposes, but is frelly available from the WHO CC website for personal use)</li> <a href="https://www.whocc.no/atc_ddd_index/">ATC/DDD index from WHO Collaborating Centre for Drug Statistics Methodology</a> (note: this may not be used for commercial purposes, but is freely available from the WHO CC website for personal use)</li>
<li><a href="https://pubchem.ncbi.nlm.nih.gov">PubChem by the US National Library of Medicine</a></li> <li><a href="https://pubchem.ncbi.nlm.nih.gov">PubChem by the US National Library of Medicine</a></li>
</ul> </ul>
</div> </div>
@ -787,7 +787,7 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<div id="intrinsic-bacterial-resistance" class="section level2"> <div id="intrinsic-bacterial-resistance" class="section level2">
<h2 class="hasAnchor"> <h2 class="hasAnchor">
<a href="#intrinsic-bacterial-resistance" class="anchor"></a>Intrinsic bacterial resistance</h2> <a href="#intrinsic-bacterial-resistance" class="anchor"></a>Intrinsic bacterial resistance</h2>
<p>A data set with 93,892 rows and 2 columns, containing the following column names:<br><em>‘microorganism’, ‘antibiotic’</em>.</p> <p>A data set with 93,892 rows and 2 columns, containing the following column names:<br><em>antibiotic</em> and <em>microorganism</em>.</p>
<p>This data set is in R available as <code>intrinsic_resistant</code>, after you load the <code>AMR</code> package.</p> <p>This data set is in R available as <code>intrinsic_resistant</code>, after you load the <code>AMR</code> package.</p>
<p>It was last updated on 24 September 2020 00:50:35 CEST. Find more info about the structure of this data set <a href="https://msberends.github.io/AMR/reference/intrinsic_resistant.html">here</a>.</p> <p>It was last updated on 24 September 2020 00:50:35 CEST. Find more info about the structure of this data set <a href="https://msberends.github.io/AMR/reference/intrinsic_resistant.html">here</a>.</p>
<p><strong>Direct download links:</strong></p> <p><strong>Direct download links:</strong></p>
@ -807,7 +807,7 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<div id="source-4" class="section level3"> <div id="source-4" class="section level3">
<h3 class="hasAnchor"> <h3 class="hasAnchor">
<a href="#source-4" class="anchor"></a>Source</h3> <a href="#source-4" class="anchor"></a>Source</h3>
<p>This data set contains all defined intrinsic resistance by EUCAST of all bug-drug combinations, and is based on ‘’EUCAST Expert Rules’ and ‘EUCAST Intrinsic Resistance and Unusual Phenotypes’’, v3.2 from 2020.</p> <p>This data set contains all defined intrinsic resistance by EUCAST of all bug-drug combinations, and is based on <a href="https://www.eucast.org/expert_rules_and_intrinsic_resistance/">‘EUCAST Expert Rules’ and ‘EUCAST Intrinsic Resistance and Unusual Phenotypes’ v3.2</a> (2020).</p>
</div> </div>
<div id="example-content-4" class="section level3"> <div id="example-content-4" class="section level3">
<h3 class="hasAnchor"> <h3 class="hasAnchor">
@ -1002,7 +1002,7 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<div id="interpretation-from-mic-values-disk-diameters-to-rsi" class="section level2"> <div id="interpretation-from-mic-values-disk-diameters-to-rsi" class="section level2">
<h2 class="hasAnchor"> <h2 class="hasAnchor">
<a href="#interpretation-from-mic-values-disk-diameters-to-rsi" class="anchor"></a>Interpretation from MIC values / disk diameters to R/SI</h2> <a href="#interpretation-from-mic-values-disk-diameters-to-rsi" class="anchor"></a>Interpretation from MIC values / disk diameters to R/SI</h2>
<p>A data set with 20,486 rows and 10 columns, containing the following column names:<br><em>‘guideline’, ‘method’, ‘site’, ‘mo’, ‘ab’, ‘ref_tbl’, ‘disk_dose’, ‘breakpoint_S’, ‘breakpoint_R’, ‘uti’</em>.</p> <p>A data set with 20,486 rows and 10 columns, containing the following column names:<br><em>ab</em>, <em>breakpoint_R</em>, <em>breakpoint_S</em>, <em>disk_dose</em>, <em>guideline</em>, <em>method</em>, <em>mo</em>, <em>ref_tbl</em>, <em>site</em> and <em>uti</em>.</p>
<p>This data set is in R available as <code>rsi_translation</code>, after you load the <code>AMR</code> package.</p> <p>This data set is in R available as <code>rsi_translation</code>, after you load the <code>AMR</code> package.</p>
<p>It was last updated on 14 January 2021 16:04:41 CET. Find more info about the structure of this data set <a href="https://msberends.github.io/AMR/reference/rsi_translation.html">here</a>.</p> <p>It was last updated on 14 January 2021 16:04:41 CET. Find more info about the structure of this data set <a href="https://msberends.github.io/AMR/reference/rsi_translation.html">here</a>.</p>
<p><strong>Direct download links:</strong></p> <p><strong>Direct download links:</strong></p>
@ -1132,22 +1132,22 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<div id="dosage-guidelines-from-eucast" class="section level2"> <div id="dosage-guidelines-from-eucast" class="section level2">
<h2 class="hasAnchor"> <h2 class="hasAnchor">
<a href="#dosage-guidelines-from-eucast" class="anchor"></a>Dosage guidelines from EUCAST</h2> <a href="#dosage-guidelines-from-eucast" class="anchor"></a>Dosage guidelines from EUCAST</h2>
<p>A data set with 135 rows and 9 columns, containing the following column names:<br><em>‘ab’, ‘name’, ‘type’, ‘dose’, ‘dose_times’, ‘administration’, ‘notes’, ‘original_txt’, ‘eucast_version’</em>.</p> <p>A data set with 169 rows and 9 columns, containing the following column names:<br><em>ab</em>, <em>administration</em>, <em>dose</em>, <em>dose_times</em>, <em>eucast_version</em>, <em>name</em>, <em>notes</em>, <em>original_txt</em> and <em>type</em>.</p>
<p>This data set is in R available as <code>dosage</code>, after you load the <code>AMR</code> package.</p> <p>This data set is in R available as <code>dosage</code>, after you load the <code>AMR</code> package.</p>
<p>It was last updated on 14 January 2021 16:04:41 CET. Find more info about the structure of this data set <a href="https://msberends.github.io/AMR/reference/dosage.html">here</a>.</p> <p>It was last updated on 25 January 2021 21:58:20 CET. Find more info about the structure of this data set <a href="https://msberends.github.io/AMR/reference/dosage.html">here</a>.</p>
<p><strong>Direct download links:</strong></p> <p><strong>Direct download links:</strong></p>
<ul> <ul>
<li>Download as <a href="https://github.com/msberends/AMR/raw/master/data-raw/../data-raw/dosage.rds">R file</a> (3 kB)<br> <li>Download as <a href="https://github.com/msberends/AMR/raw/master/data-raw/../data-raw/dosage.rds">R file</a> (3 kB)<br>
</li> </li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/master/data-raw/../data-raw/dosage.xlsx">Excel file</a> (13 kB)<br> <li>Download as <a href="https://github.com/msberends/AMR/raw/master/data-raw/../data-raw/dosage.xlsx">Excel file</a> (14 kB)<br>
</li> </li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/master/data-raw/../data-raw/dosage.txt">plain text file</a> (13 kB)<br> <li>Download as <a href="https://github.com/msberends/AMR/raw/master/data-raw/../data-raw/dosage.txt">plain text file</a> (15 kB)<br>
</li> </li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/master/data-raw/../data-raw/dosage.sas">SAS file</a> (48 kB)<br> <li>Download as <a href="https://github.com/msberends/AMR/raw/master/data-raw/../data-raw/dosage.sas">SAS file</a> (52 kB)<br>
</li> </li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/master/data-raw/../data-raw/dosage.sav">SPSS file</a> (37 kB)<br> <li>Download as <a href="https://github.com/msberends/AMR/raw/master/data-raw/../data-raw/dosage.sav">SPSS file</a> (45 kB)<br>
</li> </li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/master/data-raw/../data-raw/dosage.dta">Stata file</a> (38 kB)</li> <li>Download as <a href="https://github.com/msberends/AMR/raw/master/data-raw/../data-raw/dosage.dta">Stata file</a> (44 kB)</li>
</ul> </ul>
<div id="source-6" class="section level3"> <div id="source-6" class="section level3">
<h3 class="hasAnchor"> <h3 class="hasAnchor">

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@ -81,7 +81,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <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">1.5.0.9014</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9015</span>
</span> </span>
</div> </div>

2
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@ -81,7 +81,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="index.html">AMR (for R)</a> <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">1.5.0.9014</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9015</span>
</span> </span>
</div> </div>

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@ -43,7 +43,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="index.html">AMR (for R)</a> <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">1.5.0.9014</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9015</span>
</span> </span>
</div> </div>

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@ -81,7 +81,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <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">1.5.0.9014</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9015</span>
</span> </span>
</div> </div>
@ -236,13 +236,13 @@
<small>Source: <a href='https://github.com/msberends/AMR/blob/master/NEWS.md'><code>NEWS.md</code></a></small> <small>Source: <a href='https://github.com/msberends/AMR/blob/master/NEWS.md'><code>NEWS.md</code></a></small>
</div> </div>
<div id="amr-1509014" class="section level1"> <div id="amr-1509015" class="section level1">
<h1 class="page-header" data-toc-text="1.5.0.9014"> <h1 class="page-header" data-toc-text="1.5.0.9015">
<a href="#amr-1509014" class="anchor"></a>AMR 1.5.0.9014<small> Unreleased </small> <a href="#amr-1509015" class="anchor"></a>AMR 1.5.0.9015<small> Unreleased </small>
</h1> </h1>
<div id="last-updated-2-february-2021" class="section level2"> <div id="last-updated-4-february-2021" class="section level2">
<h2 class="hasAnchor"> <h2 class="hasAnchor">
<a href="#last-updated-2-february-2021" class="anchor"></a><small>Last updated: 2 February 2021</small> <a href="#last-updated-4-february-2021" class="anchor"></a><small>Last updated: 4 February 2021</small>
</h2> </h2>
<div id="breaking" class="section level3"> <div id="breaking" class="section level3">
<h3 class="hasAnchor"> <h3 class="hasAnchor">
@ -306,8 +306,10 @@
<a href="#changed" class="anchor"></a>Changed</h3> <a href="#changed" class="anchor"></a>Changed</h3>
<ul> <ul>
<li> <li>
<code><a href="../reference/as.rsi.html">is.rsi()</a></code> now returns a vector of <code>TRUE</code>/<code>FALSE</code> when the input is a data set, in case it will iterate over all columns</li> <code><a href="../reference/as.rsi.html">is.rsi()</a></code> and <code><a href="../reference/as.rsi.html">is.rsi.eligible()</a></code> now return a vector of <code>TRUE</code>/<code>FALSE</code> when the input is a data set, by iterating over all columns</li>
<li>Using functions without setting a data set (e.g., <code><a href="../reference/mo_property.html">mo_is_gram_negative()</a></code>, <code><a href="../reference/mo_property.html">mo_is_gram_positive()</a></code>, <code><a href="../reference/mo_property.html">mo_is_intrinsic_resistant()</a></code>, <code><a href="../reference/first_isolate.html">first_isolate()</a></code>, <code><a href="../reference/mdro.html">mdro()</a></code>) now work with <code>dplyr</code>s <code><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by()</a></code> again</li> <li>Using functions without setting a data set (e.g., <code><a href="../reference/mo_property.html">mo_is_gram_negative()</a></code>, <code><a href="../reference/mo_property.html">mo_is_gram_positive()</a></code>, <code><a href="../reference/mo_property.html">mo_is_intrinsic_resistant()</a></code>, <code><a href="../reference/first_isolate.html">first_isolate()</a></code>, <code><a href="../reference/mdro.html">mdro()</a></code>) now work with <code>dplyr</code>s <code><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by()</a></code> again</li>
<li>
<code><a href="../reference/first_isolate.html">first_isolate()</a></code> can be used with <code><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by()</a></code> (also when using a dot <code>.</code> as input for the data) and now returns the names of the groups</li>
<li>Updated the data set <code>microorganisms.codes</code> (which contains popular LIS and WHONET codes for microorganisms) for some species of <em>Mycobacterium</em> that previously incorrectly returned <em>M. africanum</em> <li>Updated the data set <code>microorganisms.codes</code> (which contains popular LIS and WHONET codes for microorganisms) for some species of <em>Mycobacterium</em> that previously incorrectly returned <em>M. africanum</em>
</li> </li>
<li>Added Pretomanid (PMD, J04AK08) to the <code>antibiotics</code> data set</li> <li>Added Pretomanid (PMD, J04AK08) to the <code>antibiotics</code> data set</li>
@ -648,7 +650,7 @@
<p>Making this package independent of especially the tidyverse (e.g. packages <code>dplyr</code> and <code>tidyr</code>) tremendously increases sustainability on the long term, since tidyverse functions change quite often. Good for users, but hard for package maintainers. Most of our functions are replaced with versions that only rely on base R, which keeps this package fully functional for many years to come, without requiring a lot of maintenance to keep up with other packages anymore. Another upside it that this package can now be used with all versions of R since R-3.0.0 (April 2013). Our package is being used in settings where the resources are very limited. Fewer dependencies on newer software is helpful for such settings.</p> <p>Making this package independent of especially the tidyverse (e.g. packages <code>dplyr</code> and <code>tidyr</code>) tremendously increases sustainability on the long term, since tidyverse functions change quite often. Good for users, but hard for package maintainers. Most of our functions are replaced with versions that only rely on base R, which keeps this package fully functional for many years to come, without requiring a lot of maintenance to keep up with other packages anymore. Another upside it that this package can now be used with all versions of R since R-3.0.0 (April 2013). Our package is being used in settings where the resources are very limited. Fewer dependencies on newer software is helpful for such settings.</p>
<p>Negative effects of this change are:</p> <p>Negative effects of this change are:</p>
<ul> <ul>
<li>Function <code><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq()</a></code> that was borrowed from the <code>cleaner</code> package was removed. Use <code><a href="https://rdrr.io/pkg/cleaner/man/freq.html">cleaner::freq()</a></code>, or run <code><a href="https://github.com/msberends/cleaner">library("cleaner")</a></code> before you use <code><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq()</a></code>.</li> <li>Function <code>freq()</code> that was borrowed from the <code>cleaner</code> package was removed. Use <code><a href="https://rdrr.io/pkg/cleaner/man/freq.html">cleaner::freq()</a></code>, or run <code><a href="https://github.com/msberends/cleaner">library("cleaner")</a></code> before you use <code>freq()</code>.</li>
<li><del>Printing values of class <code>mo</code> or <code>rsi</code> in a tibble will no longer be in colour and printing <code>rsi</code> in a tibble will show the class <code>&lt;ord&gt;</code>, not <code>&lt;rsi&gt;</code> anymore. This is purely a visual effect.</del></li> <li><del>Printing values of class <code>mo</code> or <code>rsi</code> in a tibble will no longer be in colour and printing <code>rsi</code> in a tibble will show the class <code>&lt;ord&gt;</code>, not <code>&lt;rsi&gt;</code> anymore. This is purely a visual effect.</del></li>
<li><del>All functions from the <code>mo_*</code> family (like <code><a href="../reference/mo_property.html">mo_name()</a></code> and <code><a href="../reference/mo_property.html">mo_gramstain()</a></code>) are noticeably slower when running on hundreds of thousands of rows.</del></li> <li><del>All functions from the <code>mo_*</code> family (like <code><a href="../reference/mo_property.html">mo_name()</a></code> and <code><a href="../reference/mo_property.html">mo_gramstain()</a></code>) are noticeably slower when running on hundreds of thousands of rows.</del></li>
<li>For developers: classes <code>mo</code> and <code>ab</code> now both also inherit class <code>character</code>, to support any data transformation. This change invalidates code that checks for class length == 1.</li> <li>For developers: classes <code>mo</code> and <code>ab</code> now both also inherit class <code>character</code>, to support any data transformation. This change invalidates code that checks for class length == 1.</li>
@ -985,7 +987,7 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<span class="co">#&gt; invalid microorganism code, NA generated</span></code></pre></div> <span class="co">#&gt; invalid microorganism code, NA generated</span></code></pre></div>
<p>This is important, because a value like <code>"testvalue"</code> could never be understood by e.g. <code><a href="../reference/mo_property.html">mo_name()</a></code>, although the class would suggest a valid microbial code.</p> <p>This is important, because a value like <code>"testvalue"</code> could never be understood by e.g. <code><a href="../reference/mo_property.html">mo_name()</a></code>, although the class would suggest a valid microbial code.</p>
</li> </li>
<li><p>Function <code><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq()</a></code> has moved to a new package, <a href="https://github.com/msberends/clean"><code>clean</code></a> (<a href="https://cran.r-project.org/package=clean">CRAN link</a>), since creating frequency tables actually does not fit the scope of this package. The <code><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq()</a></code> function still works, since it is re-exported from the <code>clean</code> package (which will be installed automatically upon updating this <code>AMR</code> package).</p></li> <li><p>Function <code>freq()</code> has moved to a new package, <a href="https://github.com/msberends/clean"><code>clean</code></a> (<a href="https://cran.r-project.org/package=clean">CRAN link</a>), since creating frequency tables actually does not fit the scope of this package. The <code>freq()</code> function still works, since it is re-exported from the <code>clean</code> package (which will be installed automatically upon updating this <code>AMR</code> package).</p></li>
<li><p>Renamed data set <code>septic_patients</code> to <code>example_isolates</code></p></li> <li><p>Renamed data set <code>septic_patients</code> to <code>example_isolates</code></p></li>
</ul> </ul>
</div> </div>
@ -1254,7 +1256,7 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<li>The <code><a href="../reference/age.html">age()</a></code> function gained a new argument <code>exact</code> to determine ages with decimals</li> <li>The <code><a href="../reference/age.html">age()</a></code> function gained a new argument <code>exact</code> to determine ages with decimals</li>
<li>Removed deprecated functions <code>guess_mo()</code>, <code>guess_atc()</code>, <code>EUCAST_rules()</code>, <code>interpretive_reading()</code>, <code><a href="../reference/as.rsi.html">rsi()</a></code> <li>Removed deprecated functions <code>guess_mo()</code>, <code>guess_atc()</code>, <code>EUCAST_rules()</code>, <code>interpretive_reading()</code>, <code><a href="../reference/as.rsi.html">rsi()</a></code>
</li> </li>
<li>Frequency tables (<code><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq()</a></code>): <li>Frequency tables (<code>freq()</code>):
<ul> <ul>
<li><p>speed improvement for microbial IDs</p></li> <li><p>speed improvement for microbial IDs</p></li>
<li><p>fixed factor level names for R Markdown</p></li> <li><p>fixed factor level names for R Markdown</p></li>
@ -1264,12 +1266,12 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<div class="sourceCode" id="cb26"><pre class="downlit sourceCode r"> <div class="sourceCode" id="cb26"><pre class="downlit sourceCode r">
<code class="sourceCode R"> <code class="sourceCode R">
<span class="va">septic_patients</span> <span class="op">%&gt;%</span> <span class="va">septic_patients</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq</a></span><span class="op">(</span><span class="va">age</span><span class="op">)</span> <span class="op">%&gt;%</span> <span class="fu">freq</span><span class="op">(</span><span class="va">age</span><span class="op">)</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://rdrr.io/r/graphics/boxplot.html">boxplot</a></span><span class="op">(</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/graphics/boxplot.html">boxplot</a></span><span class="op">(</span><span class="op">)</span>
<span class="co"># grouped boxplots:</span> <span class="co"># grouped boxplots:</span>
<span class="va">septic_patients</span> <span class="op">%&gt;%</span> <span class="va">septic_patients</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span><span class="op">(</span><span class="va">hospital_id</span><span class="op">)</span> <span class="op">%&gt;%</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span><span class="op">(</span><span class="va">hospital_id</span><span class="op">)</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq</a></span><span class="op">(</span><span class="va">age</span><span class="op">)</span> <span class="op">%&gt;%</span> <span class="fu">freq</span><span class="op">(</span><span class="va">age</span><span class="op">)</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://rdrr.io/r/graphics/boxplot.html">boxplot</a></span><span class="op">(</span><span class="op">)</span></code></pre></div> <span class="fu"><a href="https://rdrr.io/r/graphics/boxplot.html">boxplot</a></span><span class="op">(</span><span class="op">)</span></code></pre></div>
</li> </li>
</ul> </ul>
@ -1279,7 +1281,7 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<li>Added ceftazidim intrinsic resistance to <em>Streptococci</em> <li>Added ceftazidim intrinsic resistance to <em>Streptococci</em>
</li> </li>
<li>Changed default settings for <code><a href="../reference/age_groups.html">age_groups()</a></code>, to let groups of fives and tens end with 100+ instead of 120+</li> <li>Changed default settings for <code><a href="../reference/age_groups.html">age_groups()</a></code>, to let groups of fives and tens end with 100+ instead of 120+</li>
<li>Fix for <code><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq()</a></code> for when all values are <code>NA</code> <li>Fix for <code>freq()</code> for when all values are <code>NA</code>
</li> </li>
<li>Fix for <code><a href="../reference/first_isolate.html">first_isolate()</a></code> for when dates are missing</li> <li>Fix for <code><a href="../reference/first_isolate.html">first_isolate()</a></code> for when dates are missing</li>
<li>Improved speed of <code><a href="../reference/guess_ab_col.html">guess_ab_col()</a></code> <li>Improved speed of <code><a href="../reference/guess_ab_col.html">guess_ab_col()</a></code>
@ -1520,7 +1522,7 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
</li> </li>
</ul> </ul>
</li> </li>
<li>Frequency tables (<code><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq()</a></code> function): <li>Frequency tables (<code>freq()</code> function):
<ul> <ul>
<li> <li>
<p>Support for tidyverse quasiquotation! Now you can create frequency tables of function outcomes:</p> <p>Support for tidyverse quasiquotation! Now you can create frequency tables of function outcomes:</p>
@ -1530,15 +1532,15 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<span class="co"># OLD WAY</span> <span class="co"># OLD WAY</span>
<span class="va">septic_patients</span> <span class="op">%&gt;%</span> <span class="va">septic_patients</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span><span class="op">(</span>genus <span class="op">=</span> <span class="fu"><a href="../reference/mo_property.html">mo_genus</a></span><span class="op">(</span><span class="va">mo</span><span class="op">)</span><span class="op">)</span> <span class="op">%&gt;%</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span><span class="op">(</span>genus <span class="op">=</span> <span class="fu"><a href="../reference/mo_property.html">mo_genus</a></span><span class="op">(</span><span class="va">mo</span><span class="op">)</span><span class="op">)</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq</a></span><span class="op">(</span><span class="va">genus</span><span class="op">)</span> <span class="fu">freq</span><span class="op">(</span><span class="va">genus</span><span class="op">)</span>
<span class="co"># NEW WAY</span> <span class="co"># NEW WAY</span>
<span class="va">septic_patients</span> <span class="op">%&gt;%</span> <span class="va">septic_patients</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq</a></span><span class="op">(</span><span class="fu"><a href="../reference/mo_property.html">mo_genus</a></span><span class="op">(</span><span class="va">mo</span><span class="op">)</span><span class="op">)</span> <span class="fu">freq</span><span class="op">(</span><span class="fu"><a href="../reference/mo_property.html">mo_genus</a></span><span class="op">(</span><span class="va">mo</span><span class="op">)</span><span class="op">)</span>
<span class="co"># Even supports grouping variables:</span> <span class="co"># Even supports grouping variables:</span>
<span class="va">septic_patients</span> <span class="op">%&gt;%</span> <span class="va">septic_patients</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span><span class="op">(</span><span class="va">gender</span><span class="op">)</span> <span class="op">%&gt;%</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span><span class="op">(</span><span class="va">gender</span><span class="op">)</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq</a></span><span class="op">(</span><span class="fu"><a href="../reference/mo_property.html">mo_genus</a></span><span class="op">(</span><span class="va">mo</span><span class="op">)</span><span class="op">)</span></code></pre></div> <span class="fu">freq</span><span class="op">(</span><span class="fu"><a href="../reference/mo_property.html">mo_genus</a></span><span class="op">(</span><span class="va">mo</span><span class="op">)</span><span class="op">)</span></code></pre></div>
</li> </li>
<li><p>Header info is now available as a list, with the <code>header</code> function</p></li> <li><p>Header info is now available as a list, with the <code>header</code> function</p></li>
<li><p>The argument <code>header</code> is now set to <code>TRUE</code> at default, even for markdown</p></li> <li><p>The argument <code>header</code> is now set to <code>TRUE</code> at default, even for markdown</p></li>
@ -1621,7 +1623,7 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<li><p>Using <code>portion_*</code> functions now throws a warning when total available isolate is below argument <code>minimum</code></p></li> <li><p>Using <code>portion_*</code> functions now throws a warning when total available isolate is below argument <code>minimum</code></p></li>
<li><p>Functions <code>as.mo</code>, <code>as.rsi</code>, <code>as.mic</code>, <code>as.atc</code> and <code>freq</code> will not set package name as attribute anymore</p></li> <li><p>Functions <code>as.mo</code>, <code>as.rsi</code>, <code>as.mic</code>, <code>as.atc</code> and <code>freq</code> will not set package name as attribute anymore</p></li>
<li> <li>
<p>Frequency tables - <code><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq()</a></code>:</p> <p>Frequency tables - <code>freq()</code>:</p>
<ul> <ul>
<li> <li>
<p>Support for grouping variables, test with:</p> <p>Support for grouping variables, test with:</p>
@ -1629,14 +1631,14 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<code class="sourceCode R"> <code class="sourceCode R">
<span class="va">septic_patients</span> <span class="op">%&gt;%</span> <span class="va">septic_patients</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span><span class="op">(</span><span class="va">hospital_id</span><span class="op">)</span> <span class="op">%&gt;%</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span><span class="op">(</span><span class="va">hospital_id</span><span class="op">)</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq</a></span><span class="op">(</span><span class="va">gender</span><span class="op">)</span></code></pre></div> <span class="fu">freq</span><span class="op">(</span><span class="va">gender</span><span class="op">)</span></code></pre></div>
</li> </li>
<li> <li>
<p>Support for (un)selecting columns:</p> <p>Support for (un)selecting columns:</p>
<div class="sourceCode" id="cb39"><pre class="downlit sourceCode r"> <div class="sourceCode" id="cb39"><pre class="downlit sourceCode r">
<code class="sourceCode R"> <code class="sourceCode R">
<span class="va">septic_patients</span> <span class="op">%&gt;%</span> <span class="va">septic_patients</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq</a></span><span class="op">(</span><span class="va">hospital_id</span><span class="op">)</span> <span class="op">%&gt;%</span> <span class="fu">freq</span><span class="op">(</span><span class="va">hospital_id</span><span class="op">)</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html">select</a></span><span class="op">(</span><span class="op">-</span><span class="va">count</span>, <span class="op">-</span><span class="va">cum_count</span><span class="op">)</span> <span class="co"># only get item, percent, cum_percent</span></code></pre></div> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html">select</a></span><span class="op">(</span><span class="op">-</span><span class="va">count</span>, <span class="op">-</span><span class="va">cum_count</span><span class="op">)</span> <span class="co"># only get item, percent, cum_percent</span></code></pre></div>
</li> </li>
<li><p>Check for <code><a href="https://hms.tidyverse.org/reference/Deprecated.html">hms::is.hms</a></code></p></li> <li><p>Check for <code><a href="https://hms.tidyverse.org/reference/Deprecated.html">hms::is.hms</a></code></p></li>
@ -1654,7 +1656,7 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<li><p>Removed diacritics from all authors (columns <code>microorganisms$ref</code> and <code>microorganisms.old$ref</code>) to comply with CRAN policy to only allow ASCII characters</p></li> <li><p>Removed diacritics from all authors (columns <code>microorganisms$ref</code> and <code>microorganisms.old$ref</code>) to comply with CRAN policy to only allow ASCII characters</p></li>
<li><p>Fix for <code>mo_property</code> not working properly</p></li> <li><p>Fix for <code>mo_property</code> not working properly</p></li>
<li><p>Fix for <code>eucast_rules</code> where some Streptococci would become ceftazidime R in EUCAST rule 4.5</p></li> <li><p>Fix for <code>eucast_rules</code> where some Streptococci would become ceftazidime R in EUCAST rule 4.5</p></li>
<li><p>Support for named vectors of class <code>mo</code>, useful for <code><a href="https://rdrr.io/pkg/cleaner/man/freq.html">top_freq()</a></code></p></li> <li><p>Support for named vectors of class <code>mo</code>, useful for <code>top_freq()</code></p></li>
<li><p><code>ggplot_rsi</code> and <code>scale_y_percent</code> have <code>breaks</code> argument</p></li> <li><p><code>ggplot_rsi</code> and <code>scale_y_percent</code> have <code>breaks</code> argument</p></li>
<li> <li>
<p>AI improvements for <code>as.mo</code>:</p> <p>AI improvements for <code>as.mo</code>:</p>
@ -1822,13 +1824,13 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<div class="sourceCode" id="cb46"><pre class="downlit sourceCode r"> <div class="sourceCode" id="cb46"><pre class="downlit sourceCode r">
<code class="sourceCode R"> <code class="sourceCode R">
<span class="va">my_matrix</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/with.html">with</a></span><span class="op">(</span><span class="va">septic_patients</span>, <span class="fu"><a href="https://rdrr.io/r/base/matrix.html">matrix</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="va">age</span>, <span class="va">gender</span><span class="op">)</span>, ncol <span class="op">=</span> <span class="fl">2</span><span class="op">)</span><span class="op">)</span> <span class="va">my_matrix</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/with.html">with</a></span><span class="op">(</span><span class="va">septic_patients</span>, <span class="fu"><a href="https://rdrr.io/r/base/matrix.html">matrix</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="va">age</span>, <span class="va">gender</span><span class="op">)</span>, ncol <span class="op">=</span> <span class="fl">2</span><span class="op">)</span><span class="op">)</span>
<span class="fu"><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq</a></span><span class="op">(</span><span class="va">my_matrix</span><span class="op">)</span></code></pre></div> <span class="fu">freq</span><span class="op">(</span><span class="va">my_matrix</span><span class="op">)</span></code></pre></div>
<p>For lists, subsetting is possible:</p> <p>For lists, subsetting is possible:</p>
<div class="sourceCode" id="cb47"><pre class="downlit sourceCode r"> <div class="sourceCode" id="cb47"><pre class="downlit sourceCode r">
<code class="sourceCode R"> <code class="sourceCode R">
<span class="va">my_list</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span>age <span class="op">=</span> <span class="va">septic_patients</span><span class="op">$</span><span class="va">age</span>, gender <span class="op">=</span> <span class="va">septic_patients</span><span class="op">$</span><span class="va">gender</span><span class="op">)</span> <span class="va">my_list</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span>age <span class="op">=</span> <span class="va">septic_patients</span><span class="op">$</span><span class="va">age</span>, gender <span class="op">=</span> <span class="va">septic_patients</span><span class="op">$</span><span class="va">gender</span><span class="op">)</span>
<span class="va">my_list</span> <span class="op">%&gt;%</span> <span class="fu"><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq</a></span><span class="op">(</span><span class="va">age</span><span class="op">)</span> <span class="va">my_list</span> <span class="op">%&gt;%</span> <span class="fu">freq</span><span class="op">(</span><span class="va">age</span><span class="op">)</span>
<span class="va">my_list</span> <span class="op">%&gt;%</span> <span class="fu"><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq</a></span><span class="op">(</span><span class="va">gender</span><span class="op">)</span></code></pre></div> <span class="va">my_list</span> <span class="op">%&gt;%</span> <span class="fu">freq</span><span class="op">(</span><span class="va">gender</span><span class="op">)</span></code></pre></div>
</li> </li>
</ul> </ul>
</div> </div>
@ -1902,13 +1904,13 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<ul> <ul>
<li>A vignette to explain its usage</li> <li>A vignette to explain its usage</li>
<li>Support for <code>rsi</code> (antimicrobial resistance) to use as input</li> <li>Support for <code>rsi</code> (antimicrobial resistance) to use as input</li>
<li>Support for <code>table</code> to use as input: <code><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq(table(x, y))</a></code> <li>Support for <code>table</code> to use as input: <code>freq(table(x, y))</code>
</li> </li>
<li>Support for existing functions <code>hist</code> and <code>plot</code> to use a frequency table as input: <code><a href="https://rdrr.io/r/graphics/hist.html">hist(freq(df$age))</a></code> <li>Support for existing functions <code>hist</code> and <code>plot</code> to use a frequency table as input: <code><a href="https://rdrr.io/r/graphics/hist.html">hist(freq(df$age))</a></code>
</li> </li>
<li>Support for <code>as.vector</code>, <code>as.data.frame</code>, <code>as_tibble</code> and <code>format</code> <li>Support for <code>as.vector</code>, <code>as.data.frame</code>, <code>as_tibble</code> and <code>format</code>
</li> </li>
<li>Support for quasiquotation: <code><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq(mydata, mycolumn)</a></code> is the same as <code>mydata %&gt;% freq(mycolumn)</code> <li>Support for quasiquotation: <code>freq(mydata, mycolumn)</code> is the same as <code>mydata %&gt;% freq(mycolumn)</code>
</li> </li>
<li>Function <code>top_freq</code> function to return the top/below <em>n</em> items as vector</li> <li>Function <code>top_freq</code> function to return the top/below <em>n</em> items as vector</li>
<li>Header of frequency tables now also show Mean Absolute Deviaton (MAD) and Interquartile Range (IQR)</li> <li>Header of frequency tables now also show Mean Absolute Deviaton (MAD) and Interquartile Range (IQR)</li>

2
docs/pkgdown.yml
View File

@ -12,7 +12,7 @@ articles:
datasets: datasets.html datasets: datasets.html
resistance_predict: resistance_predict.html resistance_predict: resistance_predict.html
welcome_to_AMR: welcome_to_AMR.html welcome_to_AMR: welcome_to_AMR.html
last_built: 2021-02-02T22:56Z last_built: 2021-02-04T15:47Z
urls: urls:
reference: https://msberends.github.io/AMR//reference reference: https://msberends.github.io/AMR//reference
article: https://msberends.github.io/AMR//articles article: https://msberends.github.io/AMR//articles

4
docs/reference/ab_from_text.html
View File

@ -82,7 +82,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <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">1.5.0.9014</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9015</span>
</span> </span>
</div> </div>
@ -264,7 +264,7 @@
</tr> </tr>
<tr> <tr>
<th>collapse</th> <th>collapse</th>
<td><p>character to pass on to <code><a href='https://rdrr.io/r/base/paste.html'>paste(..., collapse = ...)</a></code> to only return one character per element of <code>text</code>, see <em>Examples</em></p></td> <td><p>character to pass on to <code><a href='https://rdrr.io/r/base/paste.html'>paste(, collapse = ...)</a></code> to only return one character per element of <code>text</code>, see <em>Examples</em></p></td>
</tr> </tr>
<tr> <tr>
<th>translate_ab</th> <th>translate_ab</th>

8
docs/reference/as.rsi.html
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@ -82,7 +82,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <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">1.5.0.9014</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9015</span>
</span> </span>
</div> </div>
@ -363,7 +363,7 @@
<h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Supported Guidelines</h3> <h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Supported Guidelines</h3>
<p>For interpreting MIC values as well as disk diffusion diameters, supported guidelines to be used as input for the <code>guideline</code> argument are: "CLSI 2010", "CLSI 2011", "CLSI 2012", "CLSI 2013", "CLSI 2014", "CLSI 2015", "CLSI 2016", "CLSI 2017", "CLSI 2018", "CLSI 2019", "EUCAST 2011", "EUCAST 2012", "EUCAST 2013", "EUCAST 2014", "EUCAST 2015", "EUCAST 2016", "EUCAST 2017", "EUCAST 2018", "EUCAST 2019", "EUCAST 2020", "EUCAST 2021".</p> <p>For interpreting MIC values as well as disk diffusion diameters, supported guidelines to be used as input for the <code>guideline</code> argument are: "EUCAST 2021", "EUCAST 2020", "EUCAST 2019", "EUCAST 2018", "EUCAST 2017", "EUCAST 2016", "EUCAST 2015", "EUCAST 2014", "EUCAST 2013", "EUCAST 2012", "EUCAST 2011", "CLSI 2019", "CLSI 2018", "CLSI 2017", "CLSI 2016", "CLSI 2015", "CLSI 2014", "CLSI 2013", "CLSI 2012", "CLSI 2011" and "CLSI 2010".</p>
<p>Simply using <code>"CLSI"</code> or <code>"EUCAST"</code> as input will automatically select the latest version of that guideline. You can set your own data set using the <code>reference_data</code> argument. The <code>guideline</code> argument will then be ignored.</p> <p>Simply using <code>"CLSI"</code> or <code>"EUCAST"</code> as input will automatically select the latest version of that guideline. You can set your own data set using the <code>reference_data</code> argument. The <code>guideline</code> argument will then be ignored.</p>
<h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>After Interpretation</h3> <h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>After Interpretation</h3>
@ -379,8 +379,8 @@
<h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Other</h3> <h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Other</h3>
<p>The function <code>is.rsi()</code> detects if the input contains class <code>&lt;rsi&gt;</code>. If the input is a data.frame, it returns a vector in which all columns are checked for this class.</p> <p>The function <code>is.rsi()</code> detects if the input contains class <code>&lt;rsi&gt;</code>. If the input is a data.frame, it iterates over all columns and returns a logical vector.</p>
<p>The function <code>is.rsi.eligible()</code> returns <code>TRUE</code> when a columns contains at most 5% invalid antimicrobial interpretations (not S and/or I and/or R), and <code>FALSE</code> otherwise. The threshold of 5% can be set with the <code>threshold</code> argument.</p> <p>The function <code>is.rsi.eligible()</code> returns <code>TRUE</code> when a columns contains at most 5% invalid antimicrobial interpretations (not S and/or I and/or R), and <code>FALSE</code> otherwise. The threshold of 5% can be set with the <code>threshold</code> argument. If the input is a data.frame, it iterates over all columns and returns a logical vector.</p>
<h2 class="hasAnchor" id="interpretation-of-r-and-s-i"><a class="anchor" href="#interpretation-of-r-and-s-i"></a>Interpretation of R and S/I</h2> <h2 class="hasAnchor" id="interpretation-of-r-and-s-i"><a class="anchor" href="#interpretation-of-r-and-s-i"></a>Interpretation of R and S/I</h2>

21
docs/reference/first_isolate.html
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@ -82,7 +82,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <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">1.5.0.9014</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9015</span>
</span> </span>
</div> </div>
@ -423,25 +423,28 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<span class='co'># See ?example_isolates.</span> <span class='co'># See ?example_isolates.</span>
<span class='co'># basic filtering on first isolates</span> <span class='co'># basic filtering on first isolates</span>
<span class='va'>example_isolates</span><span class='op'>[</span><span class='fu'>first_isolate</span><span class='op'>(</span><span class='va'>example_isolates</span><span class='op'>)</span>, <span class='op'>]</span> <span class='va'>example_isolates</span><span class='op'>[</span><span class='fu'>first_isolate</span><span class='op'>(</span><span class='op'>)</span>, <span class='op'>]</span>
<span class='co'># filtering based on isolates ----------------------------------------------</span>
<span class='co'># \donttest{</span> <span class='co'># \donttest{</span>
<span class='co'># get all first Gram-negatives</span>
<span class='va'>example_isolates</span><span class='op'>[</span><span class='fu'><a href='https://rdrr.io/r/base/which.html'>which</a></span><span class='op'>(</span><span class='fu'>first_isolate</span><span class='op'>(</span><span class='op'>)</span> <span class='op'>&amp;</span> <span class='fu'><a href='mo_property.html'>mo_is_gram_negative</a></span><span class='op'>(</span><span class='op'>)</span><span class='op'>)</span>, <span class='op'>]</span>
<span class='kw'>if</span> <span class='op'>(</span><span class='kw'><a href='https://rdrr.io/r/base/library.html'>require</a></span><span class='op'>(</span><span class='st'><a href='https://dplyr.tidyverse.org'>"dplyr"</a></span><span class='op'>)</span><span class='op'>)</span> <span class='op'>{</span> <span class='kw'>if</span> <span class='op'>(</span><span class='kw'><a href='https://rdrr.io/r/base/library.html'>require</a></span><span class='op'>(</span><span class='st'><a href='https://dplyr.tidyverse.org'>"dplyr"</a></span><span class='op'>)</span><span class='op'>)</span> <span class='op'>{</span>
<span class='co'># filter on first isolates:</span> <span class='co'># filter on first isolates using dplyr:</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span><span class='op'>(</span>first_isolate <span class='op'>=</span> <span class='fu'>first_isolate</span><span class='op'>(</span><span class='va'>.</span><span class='op'>)</span><span class='op'>)</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span><span class='op'>(</span><span class='fu'>first_isolate</span><span class='op'>(</span><span class='op'>)</span><span class='op'>)</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span><span class='op'>(</span><span class='va'>first_isolate</span> <span class='op'>==</span> <span class='cn'>TRUE</span><span class='op'>)</span>
<span class='co'># short-hand versions:</span> <span class='co'># short-hand versions:</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span><span class='op'>(</span><span class='fu'>first_isolate</span><span class='op'>(</span><span class='op'>)</span><span class='op'>)</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'>filter_first_isolate</span><span class='op'>(</span><span class='op'>)</span> <span class='fu'>filter_first_isolate</span><span class='op'>(</span><span class='op'>)</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'>filter_first_weighted_isolate</span><span class='op'>(</span><span class='op'>)</span> <span class='fu'>filter_first_weighted_isolate</span><span class='op'>(</span><span class='op'>)</span>
<span class='co'># grouped determination of first isolates (also prints group names):</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span><span class='op'>(</span><span class='va'>hospital_id</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span><span class='op'>(</span>first <span class='op'>=</span> <span class='fu'>first_isolate</span><span class='op'>(</span><span class='op'>)</span><span class='op'>)</span>
<span class='co'># now let's see if first isolates matter:</span> <span class='co'># now let's see if first isolates matter:</span>
<span class='va'>A</span> <span class='op'>&lt;-</span> <span class='va'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='va'>A</span> <span class='op'>&lt;-</span> <span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span><span class='op'>(</span><span class='va'>hospital_id</span><span class='op'>)</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span><span class='op'>(</span><span class='va'>hospital_id</span><span class='op'>)</span> <span class='op'>%&gt;%</span>

2
docs/reference/index.html
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@ -81,7 +81,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <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">1.5.0.9014</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9015</span>
</span> </span>
</div> </div>

4
docs/reference/mo_property.html
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@ -82,7 +82,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <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">1.5.0.9014</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9015</span>
</span> </span>
</div> </div>
@ -323,7 +323,7 @@
</tr> </tr>
<tr> <tr>
<th>property</th> <th>property</th>
<td><p>one of the column names of the <a href='microorganisms.html'>microorganisms</a> data set: "<code>mo</code>", "<code>fullname</code>", "<code>kingdom</code>", "<code>phylum</code>", "<code>class</code>", "<code>order</code>", "<code>family</code>", "<code>genus</code>", "<code>species</code>", "<code>subspecies</code>", "<code>rank</code>", "<code>ref</code>", "<code>species_id</code>", "<code>source</code>", "<code>prevalence</code>", "<code>snomed</code>", or must be <code>"shortname"</code></p></td> <td><p>one of the column names of the <a href='microorganisms.html'>microorganisms</a> data set: "mo", "fullname", "kingdom", "phylum", "class", "order", "family", "genus", "species", "subspecies", "rank", "ref", "species_id", "source", "prevalence" or "snomed", or must be <code>"shortname"</code></p></td>
</tr> </tr>
</table> </table>

4
docs/reference/translate.html
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@ -82,7 +82,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <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">1.5.0.9014</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9015</span>
</span> </span>
</div> </div>
@ -248,7 +248,7 @@
<h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2> <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
<p>Strings will be translated to foreign languages if they are defined in a local translation file. Additions to this file can be suggested at our repository. The file can be found here: <a href='https://github.com/msberends/AMR/blob/master/data-raw/translations.tsv'>https://github.com/msberends/AMR/blob/master/data-raw/translations.tsv</a>. This file will be read by all functions where a translated output can be desired, like all <code><a href='mo_property.html'>mo_*</a></code> functions (such as <code><a href='mo_property.html'>mo_name()</a></code>, <code><a href='mo_property.html'>mo_gramstain()</a></code>, <code><a href='mo_property.html'>mo_type()</a></code>, etc.) and <code><a href='ab_property.html'>ab_*</a></code> functions (such as <code><a href='ab_property.html'>ab_name()</a></code>, <code><a href='ab_property.html'>ab_group()</a></code>, etc.).</p> <p>Strings will be translated to foreign languages if they are defined in a local translation file. Additions to this file can be suggested at our repository. The file can be found here: <a href='https://github.com/msberends/AMR/blob/master/data-raw/translations.tsv'>https://github.com/msberends/AMR/blob/master/data-raw/translations.tsv</a>. This file will be read by all functions where a translated output can be desired, like all <code><a href='mo_property.html'>mo_*</a></code> functions (such as <code><a href='mo_property.html'>mo_name()</a></code>, <code><a href='mo_property.html'>mo_gramstain()</a></code>, <code><a href='mo_property.html'>mo_type()</a></code>, etc.) and <code><a href='ab_property.html'>ab_*</a></code> functions (such as <code><a href='ab_property.html'>ab_name()</a></code>, <code><a href='ab_property.html'>ab_group()</a></code>, etc.).</p>
<p>Currently supported languages are: Dutch, English, French, German, Italian, Portuguese, Spanish. Please note that currently not all these languages have translations available for all antimicrobial agents and colloquial microorganism names.</p> <p>Currently supported languages are: Dutch, English, French, German, Italian, Portuguese and Spanish. Please note that currently not all these languages have translations available for all antimicrobial agents and colloquial microorganism names.</p>
<p>Please suggest your own translations <a href='https://github.com/msberends/AMR/issues/new?title=Translations'>by creating a new issue on our repository</a>.</p><h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Changing the Default Language</h3> <p>Please suggest your own translations <a href='https://github.com/msberends/AMR/issues/new?title=Translations'>by creating a new issue on our repository</a>.</p><h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Changing the Default Language</h3>

2
docs/survey.html
View File

@ -81,7 +81,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="index.html">AMR (for R)</a> <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">1.5.0.9014</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9015</span>
</span> </span>
</div> </div>

2
man/ab_from_text.Rd
View File

@ -18,7 +18,7 @@ ab_from_text(
\item{type}{type of property to search for, either \code{"drug"}, \code{"dose"} or \code{"administration"}, see \emph{Examples}} \item{type}{type of property to search for, either \code{"drug"}, \code{"dose"} or \code{"administration"}, see \emph{Examples}}
\item{collapse}{character to pass on to \code{paste(..., collapse = ...)} to only return one character per element of \code{text}, see \emph{Examples}} \item{collapse}{character to pass on to \code{paste(, collapse = ...)} to only return one character per element of \code{text}, see \emph{Examples}}
\item{translate_ab}{if \code{type = "drug"}: a column name of the \link{antibiotics} data set to translate the antibiotic abbreviations to, using \code{\link[=ab_property]{ab_property()}}. Defaults to \code{FALSE}. Using \code{TRUE} is equal to using "name".} \item{translate_ab}{if \code{type = "drug"}: a column name of the \link{antibiotics} data set to translate the antibiotic abbreviations to, using \code{\link[=ab_property]{ab_property()}}. Defaults to \code{FALSE}. Using \code{TRUE} is equal to using "name".}

6
man/as.rsi.Rd
View File

@ -104,7 +104,7 @@ your_data \%>\% mutate(across((is.disk), as.rsi)) # since dplyr 1.0.0
\subsection{Supported Guidelines}{ \subsection{Supported Guidelines}{
For interpreting MIC values as well as disk diffusion diameters, supported guidelines to be used as input for the \code{guideline} argument are: "CLSI 2010", "CLSI 2011", "CLSI 2012", "CLSI 2013", "CLSI 2014", "CLSI 2015", "CLSI 2016", "CLSI 2017", "CLSI 2018", "CLSI 2019", "EUCAST 2011", "EUCAST 2012", "EUCAST 2013", "EUCAST 2014", "EUCAST 2015", "EUCAST 2016", "EUCAST 2017", "EUCAST 2018", "EUCAST 2019", "EUCAST 2020", "EUCAST 2021". For interpreting MIC values as well as disk diffusion diameters, supported guidelines to be used as input for the \code{guideline} argument are: "EUCAST 2021", "EUCAST 2020", "EUCAST 2019", "EUCAST 2018", "EUCAST 2017", "EUCAST 2016", "EUCAST 2015", "EUCAST 2014", "EUCAST 2013", "EUCAST 2012", "EUCAST 2011", "CLSI 2019", "CLSI 2018", "CLSI 2017", "CLSI 2016", "CLSI 2015", "CLSI 2014", "CLSI 2013", "CLSI 2012", "CLSI 2011" and "CLSI 2010".
Simply using \code{"CLSI"} or \code{"EUCAST"} as input will automatically select the latest version of that guideline. You can set your own data set using the \code{reference_data} argument. The \code{guideline} argument will then be ignored. Simply using \code{"CLSI"} or \code{"EUCAST"} as input will automatically select the latest version of that guideline. You can set your own data set using the \code{reference_data} argument. The \code{guideline} argument will then be ignored.
} }
@ -121,9 +121,9 @@ The repository of this package \href{https://github.com/msberends/AMR/blob/maste
\subsection{Other}{ \subsection{Other}{
The function \code{\link[=is.rsi]{is.rsi()}} detects if the input contains class \verb{<rsi>}. If the input is a data.frame, it returns a vector in which all columns are checked for this class. The function \code{\link[=is.rsi]{is.rsi()}} detects if the input contains class \verb{<rsi>}. If the input is a data.frame, it iterates over all columns and returns a logical vector.
The function \code{\link[=is.rsi.eligible]{is.rsi.eligible()}} returns \code{TRUE} when a columns contains at most 5\% invalid antimicrobial interpretations (not S and/or I and/or R), and \code{FALSE} otherwise. The threshold of 5\% can be set with the \code{threshold} argument. The function \code{\link[=is.rsi.eligible]{is.rsi.eligible()}} returns \code{TRUE} when a columns contains at most 5\% invalid antimicrobial interpretations (not S and/or I and/or R), and \code{FALSE} otherwise. The threshold of 5\% can be set with the \code{threshold} argument. If the input is a data.frame, it iterates over all columns and returns a logical vector.
} }
} }
\section{Interpretation of R and S/I}{ \section{Interpretation of R and S/I}{

19
man/first_isolate.Rd
View File

@ -152,25 +152,28 @@ On our website \url{https://msberends.github.io/AMR/} you can find \href{https:/
# See ?example_isolates. # See ?example_isolates.
# basic filtering on first isolates # basic filtering on first isolates
example_isolates[first_isolate(example_isolates), ] example_isolates[first_isolate(), ]
# filtering based on isolates ----------------------------------------------
\donttest{ \donttest{
# get all first Gram-negatives
example_isolates[which(first_isolate() & mo_is_gram_negative()), ]
if (require("dplyr")) { if (require("dplyr")) {
# filter on first isolates: # filter on first isolates using dplyr:
example_isolates \%>\% example_isolates \%>\%
mutate(first_isolate = first_isolate(.)) \%>\% filter(first_isolate())
filter(first_isolate == TRUE)
# short-hand versions: # short-hand versions:
example_isolates \%>\%
filter(first_isolate())
example_isolates \%>\% example_isolates \%>\%
filter_first_isolate() filter_first_isolate()
example_isolates \%>\% example_isolates \%>\%
filter_first_weighted_isolate() filter_first_weighted_isolate()
# grouped determination of first isolates (also prints group names):
example_isolates \%>\%
group_by(hospital_id) \%>\%
mutate(first = first_isolate())
# now let's see if first isolates matter: # now let's see if first isolates matter:
A <- example_isolates \%>\% A <- example_isolates \%>\%
group_by(hospital_id) \%>\% group_by(hospital_id) \%>\%

2
man/mo_property.Rd
View File

@ -98,7 +98,7 @@ mo_property(x, property = "fullname", language = get_locale(), ...)
\item{open}{browse the URL using \code{\link[utils:browseURL]{browseURL()}}} \item{open}{browse the URL using \code{\link[utils:browseURL]{browseURL()}}}
\item{property}{one of the column names of the \link{microorganisms} data set: "\code{mo}", "\code{fullname}", "\code{kingdom}", "\code{phylum}", "\code{class}", "\code{order}", "\code{family}", "\code{genus}", "\code{species}", "\code{subspecies}", "\code{rank}", "\code{ref}", "\code{species_id}", "\code{source}", "\code{prevalence}", "\code{snomed}", or must be \code{"shortname"}} \item{property}{one of the column names of the \link{microorganisms} data set: "mo", "fullname", "kingdom", "phylum", "class", "order", "family", "genus", "species", "subspecies", "rank", "ref", "species_id", "source", "prevalence" or "snomed", or must be \code{"shortname"}}
} }
\value{ \value{
\itemize{ \itemize{

2
man/translate.Rd
View File

@ -13,7 +13,7 @@ For language-dependent output of AMR functions, like \code{\link[=mo_name]{mo_na
\details{ \details{
Strings will be translated to foreign languages if they are defined in a local translation file. Additions to this file can be suggested at our repository. The file can be found here: \url{https://github.com/msberends/AMR/blob/master/data-raw/translations.tsv}. This file will be read by all functions where a translated output can be desired, like all \code{\link[=mo_property]{mo_*}} functions (such as \code{\link[=mo_name]{mo_name()}}, \code{\link[=mo_gramstain]{mo_gramstain()}}, \code{\link[=mo_type]{mo_type()}}, etc.) and \code{\link[=ab_property]{ab_*}} functions (such as \code{\link[=ab_name]{ab_name()}}, \code{\link[=ab_group]{ab_group()}}, etc.). Strings will be translated to foreign languages if they are defined in a local translation file. Additions to this file can be suggested at our repository. The file can be found here: \url{https://github.com/msberends/AMR/blob/master/data-raw/translations.tsv}. This file will be read by all functions where a translated output can be desired, like all \code{\link[=mo_property]{mo_*}} functions (such as \code{\link[=mo_name]{mo_name()}}, \code{\link[=mo_gramstain]{mo_gramstain()}}, \code{\link[=mo_type]{mo_type()}}, etc.) and \code{\link[=ab_property]{ab_*}} functions (such as \code{\link[=ab_name]{ab_name()}}, \code{\link[=ab_group]{ab_group()}}, etc.).
Currently supported languages are: Dutch, English, French, German, Italian, Portuguese, Spanish. Please note that currently not all these languages have translations available for all antimicrobial agents and colloquial microorganism names. Currently supported languages are: Dutch, English, French, German, Italian, Portuguese and Spanish. Please note that currently not all these languages have translations available for all antimicrobial agents and colloquial microorganism names.
Please suggest your own translations \href{https://github.com/msberends/AMR/issues/new?title=Translations}{by creating a new issue on our repository}. Please suggest your own translations \href{https://github.com/msberends/AMR/issues/new?title=Translations}{by creating a new issue on our repository}.
\subsection{Changing the Default Language}{ \subsection{Changing the Default Language}{

3
tests/testthat/test-eucast_rules.R
View File

@ -96,7 +96,8 @@ test_that("EUCAST rules work", {
AZM = as.rsi("R"), AZM = as.rsi("R"),
CLR = factor("R"), CLR = factor("R"),
stringsAsFactors = FALSE), stringsAsFactors = FALSE),
version_expertrules = 3.1)$CLR)) version_expertrules = 3.1,
only_rsi_columns = FALSE)$CLR))
b <- example_isolates$ERY b <- example_isolates$ERY
expect_identical(a[!is.na(b)], expect_identical(a[!is.na(b)],
b[!is.na(b)]) b[!is.na(b)])

5
tests/testthat/test-first_isolate.R
View File

@ -212,4 +212,9 @@ test_that("first isolates work", {
# only one isolate, so return fast # only one isolate, so return fast
expect_true(first_isolate(data.frame(mo = "Escherichia coli", date = Sys.Date(), patient = "patient"), info = TRUE)) expect_true(first_isolate(data.frame(mo = "Escherichia coli", date = Sys.Date(), patient = "patient"), info = TRUE))
# groups
x <- example_isolates %>% group_by(ward_icu) %>% mutate(first = first_isolate())
y <- example_isolates %>% group_by(ward_icu) %>% mutate(first = first_isolate(.))
expect_identical(x, y)
}) })

10
vignettes/datasets.Rmd
View File

@ -29,8 +29,8 @@ options(knitr.kable.NA = '')
structure_txt <- function(dataset) { structure_txt <- function(dataset) {
paste0("A data set with ", paste0("A data set with ",
format(nrow(dataset), big.mark = ","), " rows and ", format(nrow(dataset), big.mark = ","), " rows and ",
ncol(dataset), " columns, containing the following column names: \n*", ncol(dataset), " columns, containing the following column names: \n",
paste0("'", colnames(dataset), "'", collapse = ", "), "*.") AMR:::vector_or(colnames(dataset), quotes = "*", last_sep = " and "), ".")
} }
download_txt <- function(filename) { download_txt <- function(filename) {
@ -172,7 +172,7 @@ This data set is in R available as `antibiotics`, after you load the `AMR` packa
This data set contains all EARS-Net and ATC codes gathered from WHO and WHONET, and all compound IDs from PubChem. It also contains all brand names (synonyms) as found on PubChem and Defined Daily Doses (DDDs) for oral and parenteral administration. This data set contains all EARS-Net and ATC codes gathered from WHO and WHONET, and all compound IDs from PubChem. It also contains all brand names (synonyms) as found on PubChem and Defined Daily Doses (DDDs) for oral and parenteral administration.
* [ATC/DDD index from WHO Collaborating Centre for Drug Statistics Methodology](https://www.whocc.no/atc_ddd_index/) (note: this may not be used for commercial purposes, but is frelly available from the WHO CC website for personal use) * [ATC/DDD index from WHO Collaborating Centre for Drug Statistics Methodology](https://www.whocc.no/atc_ddd_index/) (note: this may not be used for commercial purposes, but is freely available from the WHO CC website for personal use)
* [PubChem by the US National Library of Medicine](https://pubchem.ncbi.nlm.nih.gov) * [PubChem by the US National Library of Medicine](https://pubchem.ncbi.nlm.nih.gov)
* [WHONET software 2019](https://whonet.org) * [WHONET software 2019](https://whonet.org)
@ -197,7 +197,7 @@ This data set is in R available as `antivirals`, after you load the `AMR` packag
This data set contains all ATC codes gathered from WHO and all compound IDs from PubChem. It also contains all brand names (synonyms) as found on PubChem and Defined Daily Doses (DDDs) for oral and parenteral administration. This data set contains all ATC codes gathered from WHO and all compound IDs from PubChem. It also contains all brand names (synonyms) as found on PubChem and Defined Daily Doses (DDDs) for oral and parenteral administration.
* [ATC/DDD index from WHO Collaborating Centre for Drug Statistics Methodology](https://www.whocc.no/atc_ddd_index/) (note: this may not be used for commercial purposes, but is frelly available from the WHO CC website for personal use) * [ATC/DDD index from WHO Collaborating Centre for Drug Statistics Methodology](https://www.whocc.no/atc_ddd_index/) (note: this may not be used for commercial purposes, but is freely available from the WHO CC website for personal use)
* [PubChem by the US National Library of Medicine](https://pubchem.ncbi.nlm.nih.gov) * [PubChem by the US National Library of Medicine](https://pubchem.ncbi.nlm.nih.gov)
### Example content ### Example content
@ -218,7 +218,7 @@ This data set is in R available as `intrinsic_resistant`, after you load the `AM
### Source ### Source
This data set contains all defined intrinsic resistance by EUCAST of all bug-drug combinations, and is based on '`r AMR:::EUCAST_VERSION_EXPERT_RULES[["3.2"]]$title`', `r AMR:::EUCAST_VERSION_EXPERT_RULES[["3.2"]]$version_txt` from `r AMR:::EUCAST_VERSION_EXPERT_RULES[["3.2"]]$year`. This data set contains all defined intrinsic resistance by EUCAST of all bug-drug combinations, and is based on `r AMR:::format_eucast_version_nr("3.2")`.
### Example content ### Example content