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misc
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@ -45,10 +45,10 @@
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#' stringsAsFactors = FALSE)
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#' a
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#'
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#' b <- EUCAST_rules(a)
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#' b <- EUCAST_rules(a, "bactid")
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#' b
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EUCAST_rules <- function(tbl,
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col_bactcode = 'bactid',
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col_bactcode,
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info = TRUE,
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amcl = 'amcl',
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amik = 'amik',
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6
R/atc.R
6
R/atc.R
@ -128,7 +128,7 @@ atc_property <- function(atc_code,
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#' Name of an antibiotic
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#'
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#' Convert antibiotic codes (from a laboratory information system like MOLIS or GLIMS) to a (trivial) antibiotic name or ATC code, or vice versa. This uses the data from \code{\link{ablist}}.
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#' @param abcode a code or name, like \code{"amox"}, \code{"cftr"} or \code{"J01CA04"}
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#' @param abcode a code or name, like \code{"AMOX"}, \code{"AMCL"} or \code{"J01CA04"}
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#' @param from,to type to transform from and to. See \code{\link{ablist}} for its column names.
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#' @param textbetween text to put between multiple returned texts
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#' @param tolower return output as lower case with function \code{\link{tolower}}.
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@ -146,7 +146,7 @@ atc_property <- function(atc_code,
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#' abname(c("AMCL", "GENT"))
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#' # "amoxicillin and enzyme inhibitor" "gentamicin"
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#'
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#' abname("AMCL", to = "trivial")
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#' abname("AMCL", to = "trivial_nl")
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#' # "Amoxicilline/clavulaanzuur"
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#'
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#' abname("AMCL", to = "atc")
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@ -210,7 +210,7 @@ abname <- function(abcode, from = 'umcg', to = 'official', textbetween = ' + ',
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select(to) %>%
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slice(1) %>%
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as.character()
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if (j > 1 & to %in% c('official', 'trivial')) {
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if (j > 1 & to %in% c('official', 'trivial_nl')) {
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drug.group[j] <- drug.group[j] %>% tolower()
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}
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}
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2
R/data.R
2
R/data.R
@ -26,7 +26,7 @@
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#' \item{\code{umcg}}{UMCG code, like \code{AMCL}}
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#' \item{\code{official}}{Official name by the WHO, like \code{"amoxicillin and enzyme inhibitor"}}
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#' \item{\code{official_nl}}{Official name in the Netherlands, like \code{"Amoxicilline met enzymremmer"}}
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#' \item{\code{trivial}}{Trivial name in Dutch, like \code{"Amoxicilline/clavulaanzuur"}}
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#' \item{\code{trivial_nl}}{Trivial name in Dutch, like \code{"Amoxicilline/clavulaanzuur"}}
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#' \item{\code{oral_ddd}}{Daily Defined Dose (DDD) according to the WHO, oral treatment}
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#' \item{\code{oral_units}}{Units of \code{ddd_units}}
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#' \item{\code{iv_ddd}}{Daily Defined Dose (DDD) according to the WHO, parenteral treatment}
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@ -254,7 +254,8 @@ rsi <- function(ab1, ab2 = NA, interpretation = 'IR', minimum = 30, percent = FA
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#' @examples
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#' \dontrun{
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#' # use it directly:
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#' rsi_predict(tbl[which(first_isolate == TRUE & genus == "Haemophilus"),], col_ab = "amcl", coldate = "date")
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#' rsi_predict(tbl = tbl[which(first_isolate == TRUE & genus == "Haemophilus"),],
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#' col_ab = "amcl", coldate = "date")
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#'
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#' # or with dplyr so you can actually read it:
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#' library(dplyr)
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BIN
data/ablist.rda
BIN
data/ablist.rda
Binary file not shown.
@ -13,22 +13,21 @@ EUCAST Expert Rules Version 2.0: \cr
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\url{http://www.eucast.org/expert_rules_and_intrinsic_resistance}
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}
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\usage{
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EUCAST_rules(tbl, col_bactcode = "bactid", info = TRUE, amcl = "amcl",
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amik = "amik", amox = "amox", ampi = "ampi", azit = "azit",
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aztr = "aztr", cefa = "cefa", cfra = "cfra", cfep = "cfep",
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cfot = "cfot", cfox = "cfox", cfta = "cfta", cftr = "cftr",
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cfur = "cfur", chlo = "chlo", cipr = "cipr", clar = "clar",
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clin = "clin", clox = "clox", coli = "coli", czol = "czol",
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dapt = "dapt", doxy = "doxy", erta = "erta", eryt = "eryt",
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fosf = "fosf", fusi = "fusi", gent = "gent", imip = "imip",
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kana = "kana", levo = "levo", linc = "linc", line = "line",
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mero = "mero", mino = "mino", moxi = "moxi", nali = "nali",
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neom = "neom", neti = "neti", nitr = "nitr", novo = "novo",
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norf = "norf", oflo = "oflo", peni = "peni", pita = "pita",
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poly = "poly", qida = "qida", rifa = "rifa", roxi = "roxi",
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siso = "siso", teic = "teic", tetr = "tetr", tica = "tica",
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tige = "tige", tobr = "tobr", trim = "trim", trsu = "trsu",
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vanc = "vanc")
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EUCAST_rules(tbl, col_bactcode, info = TRUE, amcl = "amcl", amik = "amik",
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amox = "amox", ampi = "ampi", azit = "azit", aztr = "aztr",
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cefa = "cefa", cfra = "cfra", cfep = "cfep", cfot = "cfot",
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cfox = "cfox", cfta = "cfta", cftr = "cftr", cfur = "cfur",
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chlo = "chlo", cipr = "cipr", clar = "clar", clin = "clin",
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clox = "clox", coli = "coli", czol = "czol", dapt = "dapt",
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doxy = "doxy", erta = "erta", eryt = "eryt", fosf = "fosf",
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fusi = "fusi", gent = "gent", imip = "imip", kana = "kana",
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levo = "levo", linc = "linc", line = "line", mero = "mero",
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mino = "mino", moxi = "moxi", nali = "nali", neom = "neom",
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neti = "neti", nitr = "nitr", novo = "novo", norf = "norf",
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oflo = "oflo", peni = "peni", pita = "pita", poly = "poly",
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qida = "qida", rifa = "rifa", roxi = "roxi", siso = "siso",
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teic = "teic", tetr = "tetr", tica = "tica", tige = "tige",
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tobr = "tobr", trim = "trim", trsu = "trsu", vanc = "vanc")
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interpretive_reading(...)
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}
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@ -59,6 +58,6 @@ a <- data.frame(bactid = c("STAAUR", "ESCCOL", "KLEPNE", "PSEAER"),
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stringsAsFactors = FALSE)
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a
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b <- EUCAST_rules(a)
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b <- EUCAST_rules(a, "bactid")
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b
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}
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@ -11,7 +11,7 @@
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\item{\code{umcg}}{UMCG code, like \code{AMCL}}
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\item{\code{official}}{Official name by the WHO, like \code{"amoxicillin and enzyme inhibitor"}}
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\item{\code{official_nl}}{Official name in the Netherlands, like \code{"Amoxicilline met enzymremmer"}}
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\item{\code{trivial}}{Trivial name in Dutch, like \code{"Amoxicilline/clavulaanzuur"}}
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\item{\code{trivial_nl}}{Trivial name in Dutch, like \code{"Amoxicilline/clavulaanzuur"}}
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\item{\code{oral_ddd}}{Daily Defined Dose (DDD) according to the WHO, oral treatment}
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\item{\code{oral_units}}{Units of \code{ddd_units}}
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\item{\code{iv_ddd}}{Daily Defined Dose (DDD) according to the WHO, parenteral treatment}
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@ -11,7 +11,7 @@ abname(abcode, from = "umcg", to = "official", textbetween = " + ",
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tolower = FALSE)
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}
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\arguments{
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\item{abcode}{a code or name, like \code{"amox"}, \code{"cftr"} or \code{"J01CA04"}}
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\item{abcode}{a code or name, like \code{"AMOX"}, \code{"AMCL"} or \code{"J01CA04"}}
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\item{from, to}{type to transform from and to. See \code{\link{ablist}} for its column names.}
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@ -32,7 +32,7 @@ abname("AMCL+GENT")
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abname(c("AMCL", "GENT"))
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# "amoxicillin and enzyme inhibitor" "gentamicin"
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abname("AMCL", to = "trivial")
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abname("AMCL", to = "trivial_nl")
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# "Amoxicilline/clavulaanzuur"
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abname("AMCL", to = "atc")
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@ -37,7 +37,8 @@ Create a prediction model to predict antimicrobial resistance for the next years
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\examples{
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\dontrun{
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# use it directly:
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rsi_predict(tbl[which(first_isolate == TRUE & genus == "Haemophilus"),], col_ab = "amcl", coldate = "date")
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rsi_predict(tbl = tbl[which(first_isolate == TRUE & genus == "Haemophilus"),],
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col_ab = "amcl", coldate = "date")
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# or with dplyr so you can actually read it:
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library(dplyr)
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