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AI improvements

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dr. M.S. (Matthijs) Berends 2018-12-07 12:04:55 +01:00
parent 87ad6da745
commit 8e8a9cd190
19 changed files with 199 additions and 140 deletions
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4
.gitlab-ci.yml
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@ -14,15 +14,13 @@ R 3:
# remove vignettes folder and get VignetteBuilder field out of DESCRIPTION file
- rm -rf vignettes
- Rscript -e 'd <- read.dcf("DESCRIPTION"); d[, colnames(d) == "VignetteBuilder"] <- NA; write.dcf(d, "DESCRIPTION")'
# set environmental variable
- Rscript -e 'Sys.setenv(NOT_CRAN = "true")'
# build package
- R CMD build . --no-build-vignettes --no-manual
- PKG_FILE_NAME=$(ls -1t *.tar.gz | head -n 1)
- R CMD check "${PKG_FILE_NAME}" --no-build-vignettes --no-manual --as-cran
# code coverage
- apt-get install --yes git
- Rscript -e 'cc <- covr::package_coverage(); covr::codecov(coverage = cc, token = "50ffa0aa-fee0-4f8b-a11d-8c7edc6d32ca"); cat("Code coverage:", covr::percent_coverage(cc))'
- Rscript -e "cc <- covr::package_coverage(); covr::codecov(coverage = cc, token = '50ffa0aa-fee0-4f8b-a11d-8c7edc6d32ca'); cat('Code coverage:', covr::percent_coverage(cc))"
coverage: '/Code coverage: \d+\.\d+/'
artifacts:
paths:

4
DESCRIPTION
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@ -1,6 +1,6 @@
Package: AMR
Version: 0.5.0.9001
Date: 2018-12-05
Version: 0.5.0.9002
Date: 2018-12-07
Title: Antimicrobial Resistance Analysis
Authors@R: c(
person(

2
NAMESPACE
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@ -33,6 +33,7 @@ S3method(skewness,data.frame)
S3method(skewness,default)
S3method(skewness,matrix)
S3method(summary,mic)
S3method(summary,mo)
S3method(summary,rsi)
export("%like%")
export(EUCAST_rules)
@ -168,6 +169,7 @@ exportMethods(skewness.data.frame)
exportMethods(skewness.default)
exportMethods(skewness.matrix)
exportMethods(summary.mic)
exportMethods(summary.mo)
exportMethods(summary.rsi)
importFrom(crayon,bgGreen)
importFrom(crayon,bgRed)

8
NEWS.md
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@ -2,14 +2,20 @@
#### New
* Function `mo_failures` to review values that could not be coerced to a valid MO code, using `as.mo`. This latter function will now only show a maximum of 25 uncoerced values.
* Function `mo_renamed` to get a list of all returned values from `as.mo` that have had taxonomic renaming
#### Changed
* Improvements for `as.mo`:
* Finds better results when input is in other languages
* Better handling for subspecies
* Better handling for *Salmonellae*
* There will be looked for uncertain results at default - these results will be returned with a informative warning
* Extended manual text about algorithms
* Function `first_isolate` will now use a column named like "patid" for the patient ID, when this parameter was left blank
* Reduce false positives for `is.rsi.eligible`
* Summaries of class `mo` will now return the top 3 and the unique count, e.g. using `summary(mo)`
* Small text updates to summaries of class `rsi` and `mic`
* Function `as.mo` now prints a progress bar when it takes more than 3 seconds the get results
# 0.5.0 (latest stable release)

5
R/eucast_rules.R
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@ -23,12 +23,13 @@
#' @param info print progress
#' @param rules a character vector that specifies which rules should be applied - one or more of \code{c("breakpoints", "expert", "other", "all")}
#' @param verbose a logical to indicate whether extensive info should be returned as a \code{data.frame} with info about which rows and columns are effected
#' @param amcl,amik,amox,ampi,azit,azlo,aztr,cefa,cfep,cfot,cfox,cfra,cfta,cftr,cfur,chlo,cipr,clar,clin,clox,coli,czol,dapt,doxy,erta,eryt,fosf,fusi,gent,imip,kana,levo,linc,line,mero,mezl,mino,moxi,nali,neom,neti,nitr,norf,novo,oflo,oxac,peni,pipe,pita,poly,pris,qida,rifa,roxi,siso,teic,tetr,tica,tige,tobr,trim,trsu,vanc column name of an antibiotic, see Details
#' @param amcl,amik,amox,ampi,azit,azlo,aztr,cefa,cfep,cfot,cfox,cfra,cfta,cftr,cfur,chlo,cipr,clar,clin,clox,coli,czol,dapt,doxy,erta,eryt,fosf,fusi,gent,imip,kana,levo,linc,line,mero,mezl,mino,moxi,nali,neom,neti,nitr,norf,novo,oflo,oxac,peni,pipe,pita,poly,pris,qida,rifa,roxi,siso,teic,tetr,tica,tige,tobr,trim,trsu,vanc column name of an antibiotic, see Antibiotics
#' @param col_bactid deprecated, use \code{col_mo} instead.
#' @param ... parameters that are passed on to \code{eucast_rules}
#' @inheritParams first_isolate
#' @details To define antibiotics column names, input a text or use \code{NA} to skip a column (e.g. \code{tica = NA}). Non-existing columns will anyway be skipped with a warning. See the Antibiotics section for an explanation of the abbreviations.
#' @section Antibiotics:
#' To define antibiotics column names, input a text (case-insensitive) or use \code{NULL} to skip a column (e.g. \code{tica = NULL}). Non-existing columns will anyway be skipped with a warning.
#'
#' Abbrevations of the column containing antibiotics in the form: \strong{abbreviation}: generic name (\emph{ATC code})
#'
#' \strong{amcl}: amoxicillin+clavulanic acid (\emph{J01CR02}),

2
R/mdro.R
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@ -23,7 +23,7 @@
#' @param country country code to determine guidelines. EUCAST rules will be used when left empty, see Details. Should be or a code from the \href{https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2#Officially_assigned_code_elements}{list of ISO 3166-1 alpha-2 country codes}. Case-insensitive. Currently supported are \code{de} (Germany) and \code{nl} (the Netherlands).
#' @param info print progress
#' @inheritParams eucast_rules
#' @param metr column name of an antibiotic. Use \code{NA} to skip a column, like \code{tica = NA}. Non-existing columns will anyway be skipped. See the Antibiotics section for an explanation of the abbreviations.
#' @param metr column name of an antibiotic, see Antibiotics
#' @param ... parameters that are passed on to methods
#' @inheritSection eucast_rules Antibiotics
#' @details When \code{country} will be left blank, guidelines will be taken from EUCAST Expert Rules Version 3.1 "Intrinsic Resistance and Exceptional Phenotypes Tables" (\url{http://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Expert_Rules/Expert_rules_intrinsic_exceptional_V3.1.pdf}).

12
R/mic.R
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@ -200,12 +200,12 @@ summary.mic <- function(object, ...) {
n_total <- x %>% length()
x <- x[!is.na(x)]
n <- x %>% length()
lst <- c('mic',
n_total - n,
sort(x)[1] %>% as.character(),
sort(x)[n] %>% as.character())
names(lst) <- c("Mode", "<NA>", "Min.", "Max.")
lst
c(
"Class" = 'mic',
"<NA>" = n_total - n,
"Min." = sort(x)[1] %>% as.character(),
"Max." = sort(x)[n] %>% as.character()
)
}
#' @exportMethod plot.mic

2
R/misc.R
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@ -51,7 +51,7 @@ percent <- function(x, round = 1, force_zero = FALSE, ...) {
check_available_columns <- function(tbl, col.list, info = TRUE) {
# check columns
col.list <- col.list[!is.na(col.list)]
col.list <- col.list[!is.na(col.list) & !is.null(col.list)]
names(col.list) <- col.list
col.list.bak <- col.list
# are they available as upper case or lower case then?

60
R/mo.R
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@ -26,7 +26,7 @@
#' @param Lancefield a logical to indicate whether beta-haemolytic \emph{Streptococci} should be categorised into Lancefield groups instead of their own species, according to Rebecca C. Lancefield [2]. These \emph{Streptococci} will be categorised in their first group, e.g. \emph{Streptococcus dysgalactiae} will be group C, although officially it was also categorised into groups G and L.
#'
#' This excludes \emph{Enterococci} at default (who are in group D), use \code{Lancefield = "all"} to also categorise all \emph{Enterococci} as group D.
#' @param allow_uncertain a logical to indicate whether empty results should be checked for only a part of the input string. When results are found, a warning will be given about the uncertainty and the result.
#' @param allow_uncertain a logical to indicate whether the input should be checked for less possible results, see Details
#' @param reference_df a \code{data.frame} to use for extra reference when translating \code{x} to a valid \code{mo}. The first column can be any microbial name, code or ID (used in your analysis or organisation), the second column must be a valid \code{mo} as found in the \code{\link{microorganisms}} data set.
#' @rdname as.mo
#' @aliases mo
@ -57,7 +57,7 @@
#' \item{Breakdown of input values: from here it starts to breakdown input values to find possible matches}
#' }
#'
#' A couple of effects because of these rules
#' A couple of effects because of these rules:
#' \itemize{
#' \item{\code{"E. coli"} will return the ID of \emph{Escherichia coli} and not \emph{Entamoeba coli}, although the latter would alphabetically come first}
#' \item{\code{"H. influenzae"} will return the ID of \emph{Haemophilus influenzae} and not \emph{Haematobacter influenzae} for the same reason}
@ -66,6 +66,13 @@
#' }
#' This means that looking up human pathogenic microorganisms takes less time than looking up human \strong{non}-pathogenic microorganisms.
#'
#' When using \code{allow_uncertain = TRUE} (which is the default setting), it will use additional rules if all previous AI rules failed to get valid results. Examples:
#' \itemize{
#' \item{\code{"Streptococcus group B (known as S. agalactiae)"}. The text between brackets will be removed and a warning will be thrown that the result \emph{Streptococcus group B} (\code{B_STRPTC_GRB}) needs review.}
#' \item{\code{"S. aureus - please mind: MRSA"}. The last word will be stripped, after which the function will try to find a match. If it does not, the second last word will be stripped, etc. Again, a warning will be thrown that the result \emph{Staphylococcus aureus} (\code{B_STPHY_AUR}) needs review.}
#' \item{\code{"D. spartina"}. This is the abbreviation of an old taxonomic name: \emph{Didymosphaeria spartinae} (the last "e" was missing from the input). This fungus was renamed to \emph{Leptosphaeria obiones}, so a warning will be thrown that this result (\code{F_LPTSP_OBI}) needs review.}
#' }
#'
#' \code{guess_mo} is an alias of \code{as.mo}.
#' @section ITIS:
#' \if{html}{\figure{itis_logo.jpg}{options: height=60px style=margin-bottom:5px} \cr}
@ -94,6 +101,7 @@
#' as.mo("S. aureus")
#' as.mo("S aureus")
#' as.mo("Staphylococcus aureus")
#' as.mo("Staphylococcus aureus (MRSA)")
#' as.mo("MRSA") # Methicillin Resistant S. aureus
#' as.mo("VISA") # Vancomycin Intermediate S. aureus
#' as.mo("VRSA") # Vancomycin Resistant S. aureus
@ -136,7 +144,7 @@
#' df <- df %>%
#' mutate(mo = as.mo(paste(genus, species)))
#' }
as.mo <- function(x, Becker = FALSE, Lancefield = FALSE, allow_uncertain = FALSE, reference_df = NULL) {
as.mo <- function(x, Becker = FALSE, Lancefield = FALSE, allow_uncertain = TRUE, reference_df = NULL) {
mo <- mo_validate(x = x, property = "mo",
Becker = Becker, Lancefield = Lancefield,
allow_uncertain = allow_uncertain, reference_df = reference_df)
@ -155,11 +163,11 @@ is.mo <- function(x) {
#' @export
guess_mo <- as.mo
#' @importFrom dplyr %>% pull left_join n_distinct
#' @importFrom dplyr %>% pull left_join n_distinct progress_estimated
#' @importFrom data.table data.table as.data.table setkey
#' @importFrom crayon magenta red italic
exec_as.mo <- function(x, Becker = FALSE, Lancefield = FALSE,
allow_uncertain = FALSE, reference_df = NULL,
allow_uncertain = TRUE, reference_df = NULL,
property = "mo", clear_options = TRUE) {
if (!"AMR" %in% base::.packages()) {
@ -272,7 +280,12 @@ exec_as.mo <- function(x, Becker = FALSE, Lancefield = FALSE,
# cat(paste0('x_trimmed_species "', x_trimmed_species, '"\n'))
# cat(paste0('x_trimmed_without_group "', x_trimmed_without_group, '"\n'))
progress <- progress_estimated(n = length(x), min_time = 3)
for (i in 1:length(x)) {
progress$tick()$print()
if (identical(x_trimmed[i], "")) {
# empty values
x[i] <- NA_character_
@ -615,8 +628,8 @@ exec_as.mo <- function(x, Becker = FALSE, Lancefield = FALSE,
} else {
x[i] <- microorganismsDT[tsn == found[1, tsn_new], ..property][[1]]
}
warning(red(paste0("UNCERTAIN - '",
x_backup[i], "' -> ", italic(found[1, name]))),
warning(red(paste0('UNCERTAIN - "',
x_backup[i], '" -> ', italic(found[1, name]))),
call. = FALSE, immediate. = TRUE)
renamed_note(name_old = found[1, name],
name_new = microorganismsDT[tsn == found[1, tsn_new], fullname],
@ -627,13 +640,17 @@ exec_as.mo <- function(x, Becker = FALSE, Lancefield = FALSE,
}
# (2) strip values between brackets ----
found <- microorganismsDT[fullname %like% gsub("( [(].*[)]) ", " ", x_withspaces[i])
| fullname %like% gsub("( [(].*[)]) ", " ", x_backup[i])
| fullname %like% gsub("( [(].*[)]) ", " ", x[i]),]
x_backup_stripped <- gsub("( [(].*[)])", "", x_backup[i])
x_backup_stripped <- trimws(gsub(" ", " ", x_backup_stripped, fixed = TRUE))
x_species_stripped <- gsub("( [(].*[)])", "", x_species[i])
x_species_stripped <- trimws(gsub(" ", " ", x_species_stripped, fixed = TRUE))
found <- microorganismsDT[fullname %like% x_backup_stripped
| fullname %like% x_species_stripped,]
if (NROW(found) > 0 & nchar(x_trimmed[i]) >= 6) {
x[i] <- found[1, ..property][[1]]
warning(red(paste0("UNCERTAIN - '",
x_backup[i], "' -> ", italic(found[1, fullname][[1]]), " (", found[1, mo][[1]], ")")),
warning(red(paste0('UNCERTAIN - "',
x_backup[i], '" -> ', italic(found[1, fullname][[1]]), " (", found[1, mo][[1]], ")")),
call. = FALSE, immediate. = TRUE)
next
}
@ -647,8 +664,8 @@ exec_as.mo <- function(x, Becker = FALSE, Lancefield = FALSE,
found <- suppressMessages(suppressWarnings(exec_as.mo(x_strip_collapsed, clear_options = FALSE)))
if (!is.na(found)) {
found <- microorganismsDT[mo == found, ..property][[1]]
warning(red(paste0("UNCERTAIN - '",
z, "' -> ", italic(microorganismsDT[mo == found[1L], fullname][[1]]), " (", found[1L], ")")),
warning(red(paste0('UNCERTAIN - "',
z, '" -> ', italic(microorganismsDT[mo == found[1L], fullname][[1]]), " (", found[1L], ")")),
call. = FALSE, immediate. = TRUE)
return(found[1L])
}
@ -795,6 +812,21 @@ print.mo <- function(x, ...) {
print.default(x, quote = FALSE)
}
#' @exportMethod summary.mo
#' @export
#' @noRd
summary.mo <- function(object, ...) {
# unique and top 1-3
x <- object
top_3 <- unname(top_freq(freq(x), 3))
c("Class" = "mo",
"<NA>" = length(x[is.na(x)]),
"Unique" = dplyr::n_distinct(x[!is.na(x)]),
"#1" = top_3[1],
"#2" = top_3[2],
"#3" = top_3[3])
}
#' @exportMethod as.data.frame.mo
#' @export
#' @noRd

19
R/rsi.R
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@ -39,14 +39,20 @@
#' barplot(rsi_data) # for frequencies
#' freq(rsi_data) # frequency table with informative header
#'
#' # fastest way to transform all columns with already valid AB results to class `rsi`:
#' # using dplyr's mutate
#' library(dplyr)
#' septic_patients %>%
#' mutate_at(vars(peni:rifa), as.rsi)
#'
#' # fastest way to transform all columns with already valid AB results to class `rsi`:
#' septic_patients %>%
#' mutate_if(is.rsi.eligible,
#' as.rsi)
as.rsi <- function(x) {
if (is.rsi(x)) {
x
} else if (identical(levels(x), c("S", "I", "R"))) {
structure(x, class = c('rsi', 'ordered', 'factor'))
} else {
x <- x %>% unlist()
@ -102,14 +108,15 @@ is.rsi.eligible <- function(x) {
| is.numeric(x)
| is.mo(x)
| identical(class(x), "Date")
| identical(levels(x), c("S", "I", "R"))) {
| is.rsi(x)) {
# no transformation needed
FALSE
} else {
# check all but a-z
x <- unique(gsub("[^RSIrsi]+", "", unique(x)))
all(x %in% c("R", "I", "S", "", NA_character_)) &
!all(x %in% c("", NA_character_))
y <- unique(gsub("[^RSIrsi]+", "", unique(x)))
!all(y %in% c("", NA_character_)) &
all(y %in% c("R", "I", "S", "", NA_character_)) &
max(nchar(as.character(x)), na.rm = TRUE) < 8
}
}
@ -128,7 +135,7 @@ print.rsi <- function(x, ...) {
summary.rsi <- function(object, ...) {
x <- object
c(
"Mode" = 'rsi',
"Class" = 'rsi',
"<NA>" = sum(is.na(x)),
"Sum S" = sum(x == "S", na.rm = TRUE),
"Sum IR" = sum(x %in% c("I", "R"), na.rm = TRUE),

2
appveyor.yml
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@ -36,7 +36,7 @@ on_failure:
- appveyor PushArtifact failure.zip
on_success:
- Rscript -e "library(covr); codecov(token = '50ffa0aa-fee0-4f8b-a11d-8c7edc6d32ca')"
- Rscript -e "library(covr); cc <- package_coverage(); codecov(coverage = cc, token = '50ffa0aa-fee0-4f8b-a11d-8c7edc6d32ca'); cat('Code coverage:', percent_coverage(cc))"
artifacts:
- path: '*.Rcheck\**\*.log'

16
man/as.mo.Rd
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@ -7,13 +7,13 @@
\alias{guess_mo}
\title{Transform to microorganism ID}
\usage{
as.mo(x, Becker = FALSE, Lancefield = FALSE, allow_uncertain = FALSE,
as.mo(x, Becker = FALSE, Lancefield = FALSE, allow_uncertain = TRUE,
reference_df = NULL)
is.mo(x)
guess_mo(x, Becker = FALSE, Lancefield = FALSE,
allow_uncertain = FALSE, reference_df = NULL)
allow_uncertain = TRUE, reference_df = NULL)
}
\arguments{
\item{x}{a character vector or a \code{data.frame} with one or two columns}
@ -26,7 +26,7 @@ guess_mo(x, Becker = FALSE, Lancefield = FALSE,
This excludes \emph{Enterococci} at default (who are in group D), use \code{Lancefield = "all"} to also categorise all \emph{Enterococci} as group D.}
\item{allow_uncertain}{a logical to indicate whether empty results should be checked for only a part of the input string. When results are found, a warning will be given about the uncertainty and the result.}
\item{allow_uncertain}{a logical to indicate whether the input should be checked for less possible results, see Details}
\item{reference_df}{a \code{data.frame} to use for extra reference when translating \code{x} to a valid \code{mo}. The first column can be any microbial name, code or ID (used in your analysis or organisation), the second column must be a valid \code{mo} as found in the \code{\link{microorganisms}} data set.}
}
@ -62,7 +62,7 @@ This function uses Artificial Intelligence (AI) to help getting fast and logical
\item{Breakdown of input values: from here it starts to breakdown input values to find possible matches}
}
A couple of effects because of these rules
A couple of effects because of these rules:
\itemize{
\item{\code{"E. coli"} will return the ID of \emph{Escherichia coli} and not \emph{Entamoeba coli}, although the latter would alphabetically come first}
\item{\code{"H. influenzae"} will return the ID of \emph{Haemophilus influenzae} and not \emph{Haematobacter influenzae} for the same reason}
@ -71,6 +71,13 @@ A couple of effects because of these rules
}
This means that looking up human pathogenic microorganisms takes less time than looking up human \strong{non}-pathogenic microorganisms.
When using \code{allow_uncertain = TRUE} (which is the default setting), it will use additional rules if all previous AI rules failed to get valid results. Examples:
\itemize{
\item{\code{"Streptococcus group B (known as S. agalactiae)"}. The text between brackets will be removed and a warning will be thrown that the result \emph{Streptococcus group B} (\code{B_STRPTC_GRB}) needs review.}
\item{\code{"S. aureus - please mind: MRSA"}. The last word will be stripped, after which the function will try to find a match. If it does not, the second last word will be stripped, etc. Again, a warning will be thrown that the result \emph{Staphylococcus aureus} (\code{B_STPHY_AUR}) needs review.}
\item{\code{"D. spartina"}. This is the abbreviation of an old taxonomic name: \emph{Didymosphaeria spartinae} (the last "e" was missing from the input). This fungus was renamed to \emph{Leptosphaeria obiones}, so a warning will be thrown that this result (\code{F_LPTSP_OBI}) needs review.}
}
\code{guess_mo} is an alias of \code{as.mo}.
}
\section{ITIS}{
@ -100,6 +107,7 @@ as.mo("staaur")
as.mo("S. aureus")
as.mo("S aureus")
as.mo("Staphylococcus aureus")
as.mo("Staphylococcus aureus (MRSA)")
as.mo("MRSA") # Methicillin Resistant S. aureus
as.mo("VISA") # Vancomycin Intermediate S. aureus
as.mo("VRSA") # Vancomycin Resistant S. aureus

6
man/as.rsi.Rd
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@ -36,8 +36,12 @@ plot(rsi_data) # for percentages
barplot(rsi_data) # for frequencies
freq(rsi_data) # frequency table with informative header
# fastest way to transform all columns with already valid AB results to class `rsi`:
# using dplyr's mutate
library(dplyr)
septic_patients \%>\%
mutate_at(vars(peni:rifa), as.rsi)
# fastest way to transform all columns with already valid AB results to class `rsi`:
septic_patients \%>\%
mutate_if(is.rsi.eligible,
as.rsi)

7
man/eucast_rules.Rd
View File

@ -57,7 +57,7 @@ interpretive_reading(...)
\item{verbose}{a logical to indicate whether extensive info should be returned as a \code{data.frame} with info about which rows and columns are effected}
\item{amcl, amik, amox, ampi, azit, azlo, aztr, cefa, cfep, cfot, cfox, cfra, cfta, cftr, cfur, chlo, cipr, clar, clin, clox, coli, czol, dapt, doxy, erta, eryt, fosf, fusi, gent, imip, kana, levo, linc, line, mero, mezl, mino, moxi, nali, neom, neti, nitr, norf, novo, oflo, oxac, peni, pipe, pita, poly, pris, qida, rifa, roxi, siso, teic, tetr, tica, tige, tobr, trim, trsu, vanc}{column name of an antibiotic, see Details}
\item{amcl, amik, amox, ampi, azit, azlo, aztr, cefa, cfep, cfot, cfox, cfra, cfta, cftr, cfur, chlo, cipr, clar, clin, clox, coli, czol, dapt, doxy, erta, eryt, fosf, fusi, gent, imip, kana, levo, linc, line, mero, mezl, mino, moxi, nali, neom, neti, nitr, norf, novo, oflo, oxac, peni, pipe, pita, poly, pris, qida, rifa, roxi, siso, teic, tetr, tica, tige, tobr, trim, trsu, vanc}{column name of an antibiotic, see Antibiotics}
\item{col_bactid}{deprecated, use \code{col_mo} instead.}
@ -69,11 +69,10 @@ The input of \code{tbl}, possibly with edited values of antibiotics. Or, if \cod
\description{
Apply susceptibility rules as defined by the European Committee on Antimicrobial Susceptibility Testing (EUCAST, \url{http://eucast.org}), see \emph{Source}. This includes (1) expert rules, (2) intrinsic resistance and (3) inferred resistance as defined in their breakpoint tables.
}
\details{
To define antibiotics column names, input a text or use \code{NA} to skip a column (e.g. \code{tica = NA}). Non-existing columns will anyway be skipped with a warning. See the Antibiotics section for an explanation of the abbreviations.
}
\section{Antibiotics}{
To define antibiotics column names, input a text (case-insensitive) or use \code{NULL} to skip a column (e.g. \code{tica = NULL}). Non-existing columns will anyway be skipped with a warning.
Abbrevations of the column containing antibiotics in the form: \strong{abbreviation}: generic name (\emph{ATC code})
\strong{amcl}: amoxicillin+clavulanic acid (\emph{J01CR02}),

122
man/mdro.Rd
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@ -40,125 +40,125 @@ eucast_exceptional_phenotypes(tbl, country = "EUCAST", ...)
\item{info}{print progress}
\item{amcl}{column name of an antibiotic, see Details}
\item{amcl}{column name of an antibiotic, see Antibiotics}
\item{amik}{column name of an antibiotic, see Details}
\item{amik}{column name of an antibiotic, see Antibiotics}
\item{amox}{column name of an antibiotic, see Details}
\item{amox}{column name of an antibiotic, see Antibiotics}
\item{ampi}{column name of an antibiotic, see Details}
\item{ampi}{column name of an antibiotic, see Antibiotics}
\item{azit}{column name of an antibiotic, see Details}
\item{azit}{column name of an antibiotic, see Antibiotics}
\item{aztr}{column name of an antibiotic, see Details}
\item{aztr}{column name of an antibiotic, see Antibiotics}
\item{cefa}{column name of an antibiotic, see Details}
\item{cefa}{column name of an antibiotic, see Antibiotics}
\item{cfra}{column name of an antibiotic, see Details}
\item{cfra}{column name of an antibiotic, see Antibiotics}
\item{cfep}{column name of an antibiotic, see Details}
\item{cfep}{column name of an antibiotic, see Antibiotics}
\item{cfot}{column name of an antibiotic, see Details}
\item{cfot}{column name of an antibiotic, see Antibiotics}
\item{cfox}{column name of an antibiotic, see Details}
\item{cfox}{column name of an antibiotic, see Antibiotics}
\item{cfta}{column name of an antibiotic, see Details}
\item{cfta}{column name of an antibiotic, see Antibiotics}
\item{cftr}{column name of an antibiotic, see Details}
\item{cftr}{column name of an antibiotic, see Antibiotics}
\item{cfur}{column name of an antibiotic, see Details}
\item{cfur}{column name of an antibiotic, see Antibiotics}
\item{chlo}{column name of an antibiotic, see Details}
\item{chlo}{column name of an antibiotic, see Antibiotics}
\item{cipr}{column name of an antibiotic, see Details}
\item{cipr}{column name of an antibiotic, see Antibiotics}
\item{clar}{column name of an antibiotic, see Details}
\item{clar}{column name of an antibiotic, see Antibiotics}
\item{clin}{column name of an antibiotic, see Details}
\item{clin}{column name of an antibiotic, see Antibiotics}
\item{clox}{column name of an antibiotic, see Details}
\item{clox}{column name of an antibiotic, see Antibiotics}
\item{coli}{column name of an antibiotic, see Details}
\item{coli}{column name of an antibiotic, see Antibiotics}
\item{czol}{column name of an antibiotic, see Details}
\item{czol}{column name of an antibiotic, see Antibiotics}
\item{dapt}{column name of an antibiotic, see Details}
\item{dapt}{column name of an antibiotic, see Antibiotics}
\item{doxy}{column name of an antibiotic, see Details}
\item{doxy}{column name of an antibiotic, see Antibiotics}
\item{erta}{column name of an antibiotic, see Details}
\item{erta}{column name of an antibiotic, see Antibiotics}
\item{eryt}{column name of an antibiotic, see Details}
\item{eryt}{column name of an antibiotic, see Antibiotics}
\item{fosf}{column name of an antibiotic, see Details}
\item{fosf}{column name of an antibiotic, see Antibiotics}
\item{fusi}{column name of an antibiotic, see Details}
\item{fusi}{column name of an antibiotic, see Antibiotics}
\item{gent}{column name of an antibiotic, see Details}
\item{gent}{column name of an antibiotic, see Antibiotics}
\item{imip}{column name of an antibiotic, see Details}
\item{imip}{column name of an antibiotic, see Antibiotics}
\item{kana}{column name of an antibiotic, see Details}
\item{kana}{column name of an antibiotic, see Antibiotics}
\item{levo}{column name of an antibiotic, see Details}
\item{levo}{column name of an antibiotic, see Antibiotics}
\item{linc}{column name of an antibiotic, see Details}
\item{linc}{column name of an antibiotic, see Antibiotics}
\item{line}{column name of an antibiotic, see Details}
\item{line}{column name of an antibiotic, see Antibiotics}
\item{mero}{column name of an antibiotic, see Details}
\item{mero}{column name of an antibiotic, see Antibiotics}
\item{metr}{column name of an antibiotic. Use \code{NA} to skip a column, like \code{tica = NA}. Non-existing columns will anyway be skipped. See the Antibiotics section for an explanation of the abbreviations.}
\item{metr}{column name of an antibiotic, see Antibiotics}
\item{mino}{column name of an antibiotic, see Details}
\item{mino}{column name of an antibiotic, see Antibiotics}
\item{moxi}{column name of an antibiotic, see Details}
\item{moxi}{column name of an antibiotic, see Antibiotics}
\item{nali}{column name of an antibiotic, see Details}
\item{nali}{column name of an antibiotic, see Antibiotics}
\item{neom}{column name of an antibiotic, see Details}
\item{neom}{column name of an antibiotic, see Antibiotics}
\item{neti}{column name of an antibiotic, see Details}
\item{neti}{column name of an antibiotic, see Antibiotics}
\item{nitr}{column name of an antibiotic, see Details}
\item{nitr}{column name of an antibiotic, see Antibiotics}
\item{novo}{column name of an antibiotic, see Details}
\item{novo}{column name of an antibiotic, see Antibiotics}
\item{norf}{column name of an antibiotic, see Details}
\item{norf}{column name of an antibiotic, see Antibiotics}
\item{oflo}{column name of an antibiotic, see Details}
\item{oflo}{column name of an antibiotic, see Antibiotics}
\item{peni}{column name of an antibiotic, see Details}
\item{peni}{column name of an antibiotic, see Antibiotics}
\item{pipe}{column name of an antibiotic, see Details}
\item{pipe}{column name of an antibiotic, see Antibiotics}
\item{pita}{column name of an antibiotic, see Details}
\item{pita}{column name of an antibiotic, see Antibiotics}
\item{poly}{column name of an antibiotic, see Details}
\item{poly}{column name of an antibiotic, see Antibiotics}
\item{qida}{column name of an antibiotic, see Details}
\item{qida}{column name of an antibiotic, see Antibiotics}
\item{rifa}{column name of an antibiotic, see Details}
\item{rifa}{column name of an antibiotic, see Antibiotics}
\item{roxi}{column name of an antibiotic, see Details}
\item{roxi}{column name of an antibiotic, see Antibiotics}
\item{siso}{column name of an antibiotic, see Details}
\item{siso}{column name of an antibiotic, see Antibiotics}
\item{teic}{column name of an antibiotic, see Details}
\item{teic}{column name of an antibiotic, see Antibiotics}
\item{tetr}{column name of an antibiotic, see Details}
\item{tetr}{column name of an antibiotic, see Antibiotics}
\item{tica}{column name of an antibiotic, see Details}
\item{tica}{column name of an antibiotic, see Antibiotics}
\item{tige}{column name of an antibiotic, see Details}
\item{tige}{column name of an antibiotic, see Antibiotics}
\item{tobr}{column name of an antibiotic, see Details}
\item{tobr}{column name of an antibiotic, see Antibiotics}
\item{trim}{column name of an antibiotic, see Details}
\item{trim}{column name of an antibiotic, see Antibiotics}
\item{trsu}{column name of an antibiotic, see Details}
\item{trsu}{column name of an antibiotic, see Antibiotics}
\item{vanc}{column name of an antibiotic, see Details}
\item{vanc}{column name of an antibiotic, see Antibiotics}
\item{col_bactid}{deprecated, use \code{col_mo} instead.}
@ -175,6 +175,8 @@ When \code{country} will be left blank, guidelines will be taken from EUCAST Exp
}
\section{Antibiotics}{
To define antibiotics column names, input a text (case-insensitive) or use \code{NULL} to skip a column (e.g. \code{tica = NULL}). Non-existing columns will anyway be skipped with a warning.
Abbrevations of the column containing antibiotics in the form: \strong{abbreviation}: generic name (\emph{ATC code})
\strong{amcl}: amoxicillin+clavulanic acid (\emph{J01CR02}),

36
tests/testthat/test-atc.R
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@ -1,25 +1,25 @@
context("atc.R")
test_that("atc_property works", {
# test_that("atc_property works", {
# skip_on_cran() # relies on internet connection of server, don't test
# skip_on_appveyor() # security error on AppVeyor
if (!is.null(curl::nslookup("www.whocc.no", error = FALSE))) {
expect_equal(tolower(atc_property("J01CA04", property = "Name")), "amoxicillin")
expect_equal(atc_property("J01CA04", property = "unit"), "g")
expect_equal(atc_property("J01CA04", property = "DDD"),
atc_ddd("J01CA04"))
expect_identical(atc_property("J01CA04", property = "Groups"),
atc_groups("J01CA04"))
expect_warning(atc_property("ABCDEFG", property = "DDD"))
expect_error(atc_property("J01CA04", property = c(1:5)))
expect_error(atc_property("J01CA04", property = "test"))
expect_error(atc_property("J01CA04", property = "test", administration = c(1:5)))
}
})
#
# if (!is.null(curl::nslookup("www.whocc.no", error = FALSE))) {
# expect_equal(tolower(atc_property("J01CA04", property = "Name")), "amoxicillin")
# expect_equal(atc_property("J01CA04", property = "unit"), "g")
# expect_equal(atc_property("J01CA04", property = "DDD"),
# atc_ddd("J01CA04"))
#
# expect_identical(atc_property("J01CA04", property = "Groups"),
# atc_groups("J01CA04"))
#
# expect_warning(atc_property("ABCDEFG", property = "DDD"))
#
# expect_error(atc_property("J01CA04", property = c(1:5)))
# expect_error(atc_property("J01CA04", property = "test"))
# expect_error(atc_property("J01CA04", property = "test", administration = c(1:5)))
# }
# })
test_that("guess_atc works", {
expect_equal(as.character(guess_atc(c("J01FA01",

2
tests/testthat/test-mic.R
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@ -21,7 +21,7 @@ test_that("mic works", {
plot(as.mic(c(1, 2, 4, 8)))
print(as.mic(c(1, 2, 4, 8)))
expect_equal(summary(as.mic(c(2, 8))), c("Mode" = 'mic',
expect_equal(summary(as.mic(c(2, 8))), c("Class" = "mic",
"<NA>" = "0",
"Min." = "2",
"Max." = "8"))

4
tests/testthat/test-mo.R
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@ -214,10 +214,10 @@ test_that("as.mo works", {
expect_equal(as.character(suppressWarnings(as.mo(
c("Microbacterium paraoxidans",
"Streptococcus suis (bovis gr)",
"Raoultella (here some text) terrigena"), allow_uncertain = TRUE))),
"Raoultella (here some text) terrigena")))),
c("B_MCRBC", "B_STRPTC_SUI", "B_RLTLL_TER"))
# Salmonella (City) are all actually Salmonella enterica spp (City)
expect_equal(as.character(suppressMessages(as.mo("Salmonella Goettingen", allow_uncertain = TRUE))),
expect_equal(as.character(suppressMessages(as.mo("Salmonella Goettingen"))),
"B_SLMNL_ENT")
})

2
tests/testthat/test-rsi.R
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@ -13,7 +13,7 @@ test_that("rsi works", {
expect_equal(suppressWarnings(as.logical(as.rsi("INVALID VALUE"))), NA)
expect_equal(summary(as.rsi(c("S", "R"))), c("Mode" = 'rsi',
expect_equal(summary(as.rsi(c("S", "R"))), c("Class" = "rsi",
"<NA>" = "0",
"Sum S" = "1",
"Sum IR" = "1",