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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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# ==================================================================== #
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# functions from dplyr, will perhaps become poorman
distinct <- function ( .data , ... , .keep_all = FALSE ) {
check_is_dataframe ( .data )
if ( " grouped_data" %in% class ( .data ) ) {
distinct.grouped_data ( .data , ... , .keep_all = .keep_all )
} else {
distinct.default ( .data , ... , .keep_all = .keep_all )
}
}
distinct.default <- function ( .data , ... , .keep_all = FALSE ) {
names <- rownames ( .data )
rownames ( .data ) <- NULL
if ( length ( deparse_dots ( ... ) ) == 0 ) {
selected <- .data
} else {
selected <- select ( .data , ... )
}
rows <- as.integer ( rownames ( unique ( selected ) ) )
if ( isTRUE ( .keep_all ) ) {
res <- .data [rows , , drop = FALSE ]
} else {
res <- selected [rows , , drop = FALSE ]
}
rownames ( res ) <- names [rows ]
res
}
distinct.grouped_data <- function ( .data , ... , .keep_all = FALSE ) {
apply_grouped_function ( .data , " distinct" , ... , .keep_all = .keep_all )
}
filter_join_worker <- function ( x , y , by = NULL , type = c ( " anti" , " semi" ) ) {
type <- match.arg ( type , choices = c ( " anti" , " semi" ) , several.ok = FALSE )
if ( is.null ( by ) ) {
by <- intersect ( names ( x ) , names ( y ) )
join_message ( by )
}
rows <- interaction ( x [ , by ] ) %in% interaction ( y [ , by ] )
if ( type == " anti" ) rows <- ! rows
res <- x [rows , , drop = FALSE ]
rownames ( res ) <- NULL
res
}
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# No export, no Rd
addin_insert_in <- function ( ) {
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stopifnot_installed_package ( " rstudioapi" )
get ( " insertText" , envir = asNamespace ( " rstudioapi" ) ) ( " %in% " )
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}
# No export, no Rd
addin_insert_like <- function ( ) {
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stopifnot_installed_package ( " rstudioapi" )
get ( " insertText" , envir = asNamespace ( " rstudioapi" ) ) ( " %like% " )
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}
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check_dataset_integrity <- function ( ) {
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tryCatch ( {
check_microorganisms <- all ( c ( " mo" , " fullname" , " kingdom" , " phylum" ,
" class" , " order" , " family" , " genus" ,
" species" , " subspecies" , " rank" ,
" col_id" , " species_id" , " source" ,
" ref" , " prevalence" , " snomed" ) %in% colnames ( microorganisms ) ,
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na.rm = TRUE ) & NROW ( microorganisms ) == NROW ( MO_lookup )
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check_antibiotics <- all ( c ( " ab" , " atc" , " cid" , " name" , " group" ,
" atc_group1" , " atc_group2" , " abbreviations" ,
" synonyms" , " oral_ddd" , " oral_units" ,
" iv_ddd" , " iv_units" , " loinc" ) %in% colnames ( antibiotics ) ,
na.rm = TRUE )
} , error = function ( e )
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stop ( ' Please use the command \'library("AMR")\' before using this function, to load the required reference data.' , call. = FALSE )
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)
if ( ! check_microorganisms | ! check_antibiotics ) {
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stop ( " Data set `microorganisms` or data set `antibiotics` is overwritten by your global environment and prevents the AMR package from working correctly. Please rename your object before using this function." , call. = FALSE )
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}
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invisible ( TRUE )
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}
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search_type_in_df <- function ( x , type ) {
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# try to find columns based on type
found <- NULL
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x <- as.data.frame ( x , stringsAsFactors = FALSE )
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colnames ( x ) <- trimws ( colnames ( x ) )
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# -- mo
if ( type == " mo" ) {
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if ( " mo" %in% lapply ( x , class ) ) {
found <- colnames ( x ) [lapply ( x , class ) == " mo" ] [1 ]
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} else if ( " mo" %in% colnames ( x ) &
suppressWarnings (
all ( x $ mo %in% c ( NA ,
microorganisms $ mo ,
microorganisms.translation $ mo_old ) ) ) ) {
found <- " mo"
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} else if ( any ( colnames ( x ) %like% " ^(mo|microorganism|organism|bacteria|bacterie)s?$" ) ) {
found <- colnames ( x ) [colnames ( x ) %like% " ^(mo|microorganism|organism|bacteria|bacterie)s?$" ] [1 ]
} else if ( any ( colnames ( x ) %like% " ^(microorganism|organism|bacteria|bacterie)" ) ) {
found <- colnames ( x ) [colnames ( x ) %like% " ^(microorganism|organism|bacteria|bacterie)" ] [1 ]
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} else if ( any ( colnames ( x ) %like% " species" ) ) {
found <- colnames ( x ) [colnames ( x ) %like% " species" ] [1 ]
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}
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}
# -- key antibiotics
if ( type == " keyantibiotics" ) {
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if ( any ( colnames ( x ) %like% " ^key.*(ab|antibiotics)" ) ) {
found <- colnames ( x ) [colnames ( x ) %like% " ^key.*(ab|antibiotics)" ] [1 ]
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}
}
# -- date
if ( type == " date" ) {
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if ( any ( colnames ( x ) %like% " ^(specimen date|specimen_date|spec_date)" ) ) {
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# WHONET support
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found <- colnames ( x ) [colnames ( x ) %like% " ^(specimen date|specimen_date|spec_date)" ] [1 ]
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if ( ! any ( class ( pull ( x , found ) ) %in% c ( " Date" , " POSIXct" ) ) ) {
stop ( font_red ( paste0 ( " ERROR: Found column `" , font_bold ( found ) , " ` to be used as input for `col_" , type ,
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" `, but this column contains no valid dates. Transform its values to valid dates first." ) ) ,
call. = FALSE )
}
} else {
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for ( i in seq_len ( ncol ( x ) ) ) {
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if ( any ( class ( pull ( x , i ) ) %in% c ( " Date" , " POSIXct" ) ) ) {
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found <- colnames ( x ) [i ]
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break
}
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}
}
}
# -- patient id
if ( type == " patient_id" ) {
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if ( any ( colnames ( x ) %like% " ^(identification |patient|patid)" ) ) {
found <- colnames ( x ) [colnames ( x ) %like% " ^(identification |patient|patid)" ] [1 ]
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}
}
# -- specimen
if ( type == " specimen" ) {
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if ( any ( colnames ( x ) %like% " (specimen type|spec_type)" ) ) {
found <- colnames ( x ) [colnames ( x ) %like% " (specimen type|spec_type)" ] [1 ]
} else if ( any ( colnames ( x ) %like% " ^(specimen)" ) ) {
found <- colnames ( x ) [colnames ( x ) %like% " ^(specimen)" ] [1 ]
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}
}
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# -- UTI (urinary tract infection)
if ( type == " uti" ) {
if ( any ( colnames ( x ) == " uti" ) ) {
found <- colnames ( x ) [colnames ( x ) == " uti" ] [1 ]
} else if ( any ( colnames ( x ) %like% " (urine|urinary)" ) ) {
found <- colnames ( x ) [colnames ( x ) %like% " (urine|urinary)" ] [1 ]
}
if ( ! is.null ( found ) ) {
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# this column should contain logicals
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if ( ! is.logical ( x [ , found , drop = TRUE ] ) ) {
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message ( font_red ( paste0 ( " NOTE: Column `" , font_bold ( found ) , " ` found as input for `col_" , type ,
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" `, but this column does not contain 'logical' values (TRUE/FALSE) and was ignored." ) ) )
found <- NULL
}
}
}
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if ( ! is.null ( found ) ) {
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msg <- paste0 ( " NOTE: Using column `" , font_bold ( found ) , " ` as input for `col_" , type , " `." )
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if ( type %in% c ( " keyantibiotics" , " specimen" ) ) {
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msg <- paste ( msg , " Use" , font_bold ( paste0 ( " col_" , type ) , " = FALSE" ) , " to prevent this." )
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}
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message ( font_blue ( msg ) )
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}
found
}
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stopifnot_installed_package <- function ( package ) {
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# no "utils::installed.packages()" since it requires non-staged install since R 3.6.0
# https://developer.r-project.org/Blog/public/2019/02/14/staged-install/index.html
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sapply ( package , function ( x )
tryCatch ( get ( " .packageName" , envir = asNamespace ( x ) ) ,
error = function ( e ) stop ( " package '" , x , " ' required but not installed." ,
" \nTry to install it with: install.packages(\"" , x , " \")" ,
call. = FALSE ) ) )
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return ( invisible ( ) )
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}
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stopifnot_msg <- function ( expr , msg ) {
if ( ! isTRUE ( expr ) ) {
stop ( msg , call. = FALSE )
}
}
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" %or%" <- function ( x , y ) {
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if ( is.null ( x ) | is.null ( y ) ) {
if ( is.null ( x ) ) {
return ( y )
} else {
return ( x )
}
}
ifelse ( ! is.na ( x ) ,
x ,
ifelse ( ! is.na ( y ) , y , NA ) )
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}
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class_integrity_check <- function ( value , type , check_vector ) {
if ( ! all ( value [ ! is.na ( value ) ] %in% check_vector ) ) {
warning ( paste0 ( " invalid " , type , " , NA generated" ) , call. = FALSE )
value [ ! value %in% check_vector ] <- NA
}
value
}
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# transforms data set to data.frame with only ASCII values, to comply with CRAN policies
dataset_UTF8_to_ASCII <- function ( df ) {
trans <- function ( vect ) {
iconv ( vect , from = " UTF-8" , to = " ASCII//TRANSLIT" )
}
df <- as.data.frame ( df , stringsAsFactors = FALSE )
for ( i in seq_len ( NCOL ( df ) ) ) {
col <- df [ , i ]
if ( is.list ( col ) ) {
col <- lapply ( col , function ( j ) trans ( j ) )
df [ , i ] <- list ( col )
} else {
if ( is.factor ( col ) ) {
levels ( col ) <- trans ( levels ( col ) )
} else if ( is.character ( col ) ) {
col <- trans ( col )
} else {
col
}
df [ , i ] <- col
}
}
df
}
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# replace crayon::has_color
has_colour <- function ( ) {
if ( Sys.getenv ( " TERM" ) == " dumb" ) {
return ( FALSE )
}
if ( tolower ( Sys.info ( ) [ " sysname" ] ) == " windows" ) {
if ( Sys.getenv ( " ConEmuANSI" ) == " ON" | Sys.getenv ( " CMDER_ROOT" ) != " " ) {
return ( TRUE )
} else {
return ( FALSE )
}
}
" COLORTERM" %in% names ( Sys.getenv ( ) ) | grepl ( " ^screen|^xterm|^vt100|color|ansi|cygwin|linux" ,
Sys.getenv ( " TERM" ) ,
ignore.case = TRUE ,
perl = TRUE )
}
# the crayon colours
try_colour <- function ( ... , before , after , collapse = " " ) {
txt <- paste0 ( unlist ( list ( ... ) ) , collapse = collapse )
if ( isTRUE ( has_colour ( ) ) ) {
if ( is.null ( collapse ) ) {
paste0 ( before , txt , after , collapse = NULL )
} else {
paste0 ( before , txt , after , collapse = " " )
}
} else {
txt
}
}
font_black <- function ( ... , collapse = " " ) {
try_colour ( ... , before = " \033[38;5;232m" , after = " \033[39m" , collapse = collapse )
}
font_blue <- function ( ... , collapse = " " ) {
try_colour ( ... , before = " \033[34m" , after = " \033[39m" , collapse = collapse )
}
font_green <- function ( ... , collapse = " " ) {
try_colour ( ... , before = " \033[32m" , after = " \033[39m" , collapse = collapse )
}
font_magenta <- function ( ... , collapse = " " ) {
try_colour ( ... , before = " \033[35m" , after = " \033[39m" , collapse = collapse )
}
font_red <- function ( ... , collapse = " " ) {
try_colour ( ... , before = " \033[31m" , after = " \033[39m" , collapse = collapse )
}
font_silver <- function ( ... , collapse = " " ) {
try_colour ( ... , before = " \033[90m" , after = " \033[39m" , collapse = collapse )
}
font_white <- function ( ... , collapse = " " ) {
try_colour ( ... , before = " \033[37m" , after = " \033[39m" , collapse = collapse )
}
font_yellow <- function ( ... , collapse = " " ) {
try_colour ( ... , before = " \033[33m" , after = " \033[39m" , collapse = collapse )
}
font_subtle <- function ( ... , collapse = " " ) {
try_colour ( ... , before = " \033[38;5;246m" , after = " \033[39m" , collapse = collapse )
}
font_grey <- function ( ... , collapse = " " ) {
try_colour ( ... , before = " \033[38;5;249m" , after = " \033[39m" , collapse = collapse )
}
font_green_bg <- function ( ... , collapse = " " ) {
try_colour ( ... , before = " \033[42m" , after = " \033[49m" , collapse = collapse )
}
font_red_bg <- function ( ... , collapse = " " ) {
try_colour ( ... , before = " \033[41m" , after = " \033[49m" , collapse = collapse )
}
font_yellow_bg <- function ( ... , collapse = " " ) {
try_colour ( ... , before = " \033[43m" , after = " \033[49m" , collapse = collapse )
}
font_bold <- function ( ... , collapse = " " ) {
try_colour ( ... , before = " \033[1m" , after = " \033[22m" , collapse = collapse )
}
font_italic <- function ( ... , collapse = " " ) {
try_colour ( ... , before = " \033[3m" , after = " \033[23m" , collapse = collapse )
}
font_underline <- function ( ... , collapse = " " ) {
try_colour ( ... , before = " \033[4m" , after = " \033[24m" , collapse = collapse )
}
font_stripstyle <- function ( x ) {
# from crayon:::ansi_regex
gsub ( " (?:(?:\\x{001b}\\[)|\\x{009b})(?:(?:[0-9]{1,3})?(?:(?:;[0-9]{0,3})*)?[A-M|f-m])|\\x{001b}[A-M]" , " " , x , perl = TRUE )
}
progress_estimated <- function ( n = 1 , n_min = 0 , ... ) {
if ( n >= n_min ) {
pb <- utils :: txtProgressBar ( max = n , style = 3 )
pb $ tick <- function ( ) {
pb $ up ( pb $ getVal ( ) + 1 )
}
pb
} else {
pb <- list ( )
pb $ tick <- function ( ) {
invisible ( )
}
pb $ kill <- function ( ) {
invisible ( )
}
structure ( pb , class = " txtProgressBar" )
}
}
# works exactly like round(), but rounds `round(44.55, 1)` as 44.6 instead of 44.5
# and adds decimal zeroes until `digits` is reached when force_zero = TRUE
round2 <- function ( x , digits = 0 , force_zero = TRUE ) {
x <- as.double ( x )
# https://stackoverflow.com/a/12688836/4575331
val <- ( trunc ( ( abs ( x ) * 10 ^ digits ) + 0.5 ) / 10 ^ digits ) * sign ( x )
if ( digits > 0 & force_zero == TRUE ) {
values_trans <- val [val != as.integer ( val ) & ! is.na ( val ) ]
val [val != as.integer ( val ) & ! is.na ( val ) ] <- paste0 ( values_trans ,
strrep ( " 0" ,
max ( 0 ,
digits - nchar (
format (
as.double (
gsub ( " .*[.](.*)$" ,
" \\1" ,
values_trans ) ) ,
scientific = FALSE ) ) ) ) )
}
as.double ( val )
}
# percentage from our other package: 'cleaner'
percentage <- function ( x , digits = NULL , ... ) {
# getdecimalplaces() function
getdecimalplaces <- function ( x , minimum = 0 , maximum = 3 ) {
if ( maximum < minimum ) {
maximum <- minimum
}
if ( minimum > maximum ) {
minimum <- maximum
}
max_places <- max ( unlist ( lapply ( strsplit ( sub ( " 0+$" , " " ,
as.character ( x * 100 ) ) , " ." , fixed = TRUE ) ,
function ( y ) ifelse ( length ( y ) == 2 , nchar ( y [2 ] ) , 0 ) ) ) , na.rm = TRUE )
max ( min ( max_places ,
maximum , na.rm = TRUE ) ,
minimum , na.rm = TRUE )
}
# format_percentage() function
format_percentage <- function ( x , digits = NULL , ... ) {
if ( is.null ( digits ) ) {
digits <- getdecimalplaces ( x )
}
# round right: percentage(0.4455) and format(as.percentage(0.4455), 1) should return "44.6%", not "44.5%"
x_formatted <- format ( round2 ( as.double ( x ) , digits = digits + 2 ) * 100 ,
scientific = FALSE ,
digits = digits ,
nsmall = digits ,
... )
x_formatted <- paste0 ( x_formatted , " %" )
x_formatted [ ! grepl ( pattern = " ^[0-9.,e-]+$" , x = x ) ] <- NA_character_
x_formatted
}
# the actual working part
x <- as.double ( x )
if ( is.null ( digits ) ) {
# max one digit if undefined
digits <- getdecimalplaces ( x , minimum = 0 , maximum = 1 )
}
format_percentage ( structure ( .Data = as.double ( x ) ,
class = c ( " percentage" , " numeric" ) ) ,
digits = digits , ... )
}
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# prevent dependency on package 'backports'
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# these functions were not available in previous versions of R (last checked: R 4.0.0)
# see here for the full list: https://github.com/r-lib/backports
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strrep <- function ( x , times ) {
x <- as.character ( x )
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if ( length ( x ) == 0L )
return ( x )
unlist ( .mapply ( function ( x , times ) {
if ( is.na ( x ) || is.na ( times ) )
return ( NA_character_ )
if ( times <= 0L )
return ( " " )
paste0 ( replicate ( times , x ) , collapse = " " )
} , list ( x = x , times = times ) , MoreArgs = list ( ) ) , use.names = FALSE )
}
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trimws <- function ( x , which = c ( " both" , " left" , " right" ) ) {
which <- match.arg ( which )
mysub <- function ( re , x ) sub ( re , " " , x , perl = TRUE )
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if ( which == " left" )
return ( mysub ( " ^[ \t\r\n]+" , x ) )
if ( which == " right" )
return ( mysub ( " [ \t\r\n]+$" , x ) )
mysub ( " [ \t\r\n]+$" , mysub ( " ^[ \t\r\n]+" , x ) )
}
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isFALSE <- function ( x ) {
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is.logical ( x ) && length ( x ) == 1L && ! is.na ( x ) && ! x
}
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deparse1 <- function ( expr , collapse = " " , width.cutoff = 500L , ... ) {
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paste ( deparse ( expr , width.cutoff , ... ) , collapse = collapse )
}