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# ==================================================================== #
# TITLE #
# Antimicrobial Resistance (AMR) Analysis #
# #
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# SOURCE #
# https://gitlab.com/msberends/AMR #
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# #
# LICENCE #
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# (c) 2018-2020 Berends MS, Luz CF et al. #
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# #
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# This R package is free software; you can freely use and distribute #
# it for both personal and commercial purposes under the terms of the #
# GNU General Public License version 2.0 (GNU GPL-2), as published by #
# the Free Software Foundation. #
# #
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# We created this package for both routine data analysis and academic #
# research and it was publicly released in the hope that it will be #
# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. #
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# Visit our website for more info: https://msberends.gitlab.io/AMR. #
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# ==================================================================== #
#' Class 'mic'
#'
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#' This transforms a vector to a new class [`mic`], which is an ordered [`factor`] with valid MIC values as levels. Invalid MIC values will be translated as `NA` with a warning.
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#' @inheritSection lifecycle Stable lifecycle
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#' @rdname as.mic
#' @param x vector
#' @param na.rm a logical indicating whether missing values should be removed
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#' @details To interpret MIC values as RSI values, use [as.rsi()] on MIC values. It supports guidelines from EUCAST and CLSI.
#' @return Ordered [`factor`] with new class [`mic`]
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#' @aliases mic
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#' @export
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#' @seealso [as.rsi()]
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#' @inheritSection AMR Read more on our website!
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#' @examples
#' mic_data <- as.mic(c(">=32", "1.0", "1", "1.00", 8, "<=0.128", "8", "16", "16"))
#' is.mic(mic_data)
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#'
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#' # this can also coerce combined MIC/RSI values:
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#' as.mic("<=0.002; S") # will return <=0.002
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#'
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#' # interpret MIC values
#' as.rsi(x = as.mic(2),
#' mo = as.mo("S. pneumoniae"),
#' ab = "AMX",
#' guideline = "EUCAST")
#' as.rsi(x = as.mic(4),
#' mo = as.mo("S. pneumoniae"),
#' ab = "AMX",
#' guideline = "EUCAST")
#'
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#' plot(mic_data)
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#' barplot(mic_data)
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as.mic <- function ( x , na.rm = FALSE ) {
if ( is.mic ( x ) ) {
x
} else {
x <- x %>% unlist ( )
if ( na.rm == TRUE ) {
x <- x [ ! is.na ( x ) ]
}
x.bak <- x
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# comma to period
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x <- gsub ( " ," , " ." , x , fixed = TRUE )
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# transform Unicode for >= and <=
x <- gsub ( " \u2264" , " <=" , x , fixed = TRUE )
x <- gsub ( " \u2265" , " >=" , x , fixed = TRUE )
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# remove space between operator and number ("<= 0.002" -> "<=0.002")
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x <- gsub ( " (<|=|>) +" , " \\1" , x )
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# transform => to >= and =< to <=
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x <- gsub ( " =<" , " <=" , x , fixed = TRUE )
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x <- gsub ( " =>" , " >=" , x , fixed = TRUE )
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# starting dots must start with 0
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x <- gsub ( " ^[.]+" , " 0." , x )
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# values like "<=0.2560.512" should be 0.512
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x <- gsub ( " .*[.].*[.]" , " 0." , x )
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# remove ending .0
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x <- gsub ( " [.]+0$" , " " , x )
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# remove all after last digit
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x <- gsub ( " [^0-9]+$" , " " , x )
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# keep only one zero before dot
x <- gsub ( " 0+[.]" , " 0." , x )
# starting 00 is probably 0.0 if there's no dot yet
x [ ! x %like% " [.]" ] <- gsub ( " ^00" , " 0.0" , x [ ! x %like% " [.]" ] )
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# remove last zeroes
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x <- gsub ( " ([.].?)0+$" , " \\1" , x )
x <- gsub ( " (.*[.])0+$" , " \\10" , x )
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# remove ending .0 again
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x [x %like% " [.]" ] <- gsub ( " 0+$" , " " , x [x %like% " [.]" ] )
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# never end with dot
x <- gsub ( " [.]$" , " " , x )
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# force to be character
x <- as.character ( x )
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# trim it
x <- trimws ( x )
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## previously unempty values now empty - should return a warning later on
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x [x.bak != " " & x == " " ] <- " invalid"
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# these are allowed MIC values and will become factor levels
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ops <- c ( " <" , " <=" , " " , " >=" , " >" )
lvls <- c ( c ( t ( sapply ( ops , function ( x ) paste0 ( x , " 0.00" , 1 : 9 ) ) ) ) ,
unique ( c ( t ( sapply ( ops , function ( x ) paste0 ( x , sort ( as.double ( paste0 ( " 0.0" ,
sort ( c ( 1 : 99 , 125 , 128 , 256 , 512 , 625 ) ) ) ) ) ) ) ) ) ) ,
unique ( c ( t ( sapply ( ops , function ( x ) paste0 ( x , sort ( as.double ( paste0 ( " 0." ,
c ( 1 : 99 , 125 , 128 , 256 , 512 ) ) ) ) ) ) ) ) ) ,
c ( t ( sapply ( ops , function ( x ) paste0 ( x , sort ( c ( 1 : 9 , 1.5 ) ) ) ) ) ) ,
c ( t ( sapply ( ops , function ( x ) paste0 ( x , c ( 10 : 98 ) [9 : 98 %% 2 == TRUE ] ) ) ) ) ,
c ( t ( sapply ( ops , function ( x ) paste0 ( x , sort ( c ( 2 ^ c ( 7 : 10 ) , 80 * c ( 2 : 12 ) ) ) ) ) ) ) )
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na_before <- x [is.na ( x ) | x == " " ] %>% length ( )
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x [ ! x %in% lvls ] <- NA
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na_after <- x [is.na ( x ) | x == " " ] %>% length ( )
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if ( na_before != na_after ) {
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list_missing <- x.bak [is.na ( x ) & ! is.na ( x.bak ) & x.bak != " " ] %>%
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unique ( ) %>%
sort ( )
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list_missing <- paste0 ( ' "' , list_missing , ' "' , collapse = " , " )
warning ( na_after - na_before , " results truncated (" ,
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round ( ( ( na_after - na_before ) / length ( x ) ) * 100 ) ,
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" %) that were invalid MICs: " ,
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list_missing , call. = FALSE )
}
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structure ( .Data = factor ( x , levels = lvls , ordered = TRUE ) ,
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class = c ( " mic" , " ordered" , " factor" ) )
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}
}
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all_valid_mics <- function ( x ) {
x_mic <- suppressWarnings ( as.mic ( x [ ! is.na ( x ) ] ) )
! any ( is.na ( x_mic ) ) & ! all ( is.na ( x ) )
}
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#' @rdname as.mic
#' @export
is.mic <- function ( x ) {
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inherits ( x , " mic" )
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}
#' @exportMethod as.double.mic
#' @export
#' @noRd
as.double.mic <- function ( x , ... ) {
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as.double ( gsub ( " (<|=|>)+" , " " , as.character ( x ) ) )
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}
#' @exportMethod as.integer.mic
#' @export
#' @noRd
as.integer.mic <- function ( x , ... ) {
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as.integer ( gsub ( " (<|=|>)+" , " " , as.character ( x ) ) )
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}
#' @exportMethod as.numeric.mic
#' @export
#' @noRd
as.numeric.mic <- function ( x , ... ) {
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as.numeric ( gsub ( " (<|=|>)+" , " " , as.character ( x ) ) )
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}
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#' @exportMethod droplevels.mic
#' @export
#' @noRd
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droplevels.mic <- function ( x , exclude = ifelse ( anyNA ( levels ( x ) ) , NULL , NA ) , ... ) {
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x <- droplevels.factor ( x , exclude = exclude , ... )
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class ( x ) <- c ( " mic" , " ordered" , " factor" )
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x
}
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#' @exportMethod print.mic
#' @export
#' @noRd
print.mic <- function ( x , ... ) {
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cat ( " Class 'mic'\n" )
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print ( as.character ( x ) , quote = FALSE )
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}
#' @exportMethod summary.mic
#' @export
#' @noRd
summary.mic <- function ( object , ... ) {
x <- object
n_total <- x %>% length ( )
x <- x [ ! is.na ( x ) ]
n <- x %>% length ( )
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c (
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" Class" = " mic" ,
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" <NA>" = n_total - n ,
" Min." = sort ( x ) [1 ] %>% as.character ( ) ,
" Max." = sort ( x ) [n ] %>% as.character ( )
)
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}
#' @exportMethod plot.mic
#' @export
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#' @importFrom graphics barplot axis par
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#' @noRd
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plot.mic <- function ( x ,
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main = paste ( " MIC values of" , deparse ( substitute ( x ) ) ) ,
ylab = " Frequency" ,
xlab = " MIC value" ,
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axes = FALSE ,
... ) {
barplot ( table ( droplevels.factor ( x ) ) ,
ylab = ylab ,
xlab = xlab ,
axes = axes ,
main = main ,
... )
axis ( 2 , seq ( 0 , max ( table ( droplevels.factor ( x ) ) ) ) )
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}
#' @exportMethod barplot.mic
#' @export
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#' @importFrom graphics barplot axis
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#' @noRd
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barplot.mic <- function ( height ,
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main = paste ( " MIC values of" , deparse ( substitute ( height ) ) ) ,
ylab = " Frequency" ,
xlab = " MIC value" ,
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axes = FALSE ,
... ) {
barplot ( table ( droplevels.factor ( height ) ) ,
ylab = ylab ,
xlab = xlab ,
axes = axes ,
main = main ,
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... )
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axis ( 2 , seq ( 0 , max ( table ( droplevels.factor ( height ) ) ) ) )
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}
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#' @importFrom pillar pillar_shaft
#' @export
pillar_shaft.mic <- function ( x , ... ) {
out <- trimws ( format ( x ) )
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out [is.na ( x ) ] <- font_red ( NA )
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pillar :: new_pillar_shaft_simple ( out , align = " right" , min_width = 4 )
}
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#' @exportMethod [.mic
#' @export
#' @noRd
" [.mic" <- function ( x , ... ) {
y <- NextMethod ( )
attributes ( y ) <- attributes ( x )
y
}
#' @exportMethod [[.mic
#' @export
#' @noRd
" [[.mic" <- function ( x , ... ) {
y <- NextMethod ( )
attributes ( y ) <- attributes ( x )
y
}
#' @exportMethod [<-.mic
#' @export
#' @noRd
" [<-.mic" <- function ( i , j , ... , value ) {
value <- as.mic ( value )
y <- NextMethod ( )
attributes ( y ) <- attributes ( i )
y
}
#' @exportMethod [[<-.mic
#' @export
#' @noRd
" [[<-.mic" <- function ( i , j , ... , value ) {
value <- as.mic ( value )
y <- NextMethod ( )
attributes ( y ) <- attributes ( i )
y
}
#' @exportMethod c.mic
#' @export
#' @noRd
c.mic <- function ( x , ... ) {
y <- NextMethod ( )
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attributes ( y ) <- attributes ( x )
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y
}