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# ==================================================================== #
# TITLE #
# Antimicrobial Resistance (AMR) Analysis #
# #
# SOURCE #
# https://gitlab.com/msberends/AMR #
# #
# LICENCE #
# (c) 2019 Berends MS (m.s.berends@umcg.nl), Luz CF (c.f.luz@umcg.nl) #
# #
# 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. #
# #
# This R package was created for academic research and 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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# ==================================================================== #
#' Check availability of columns
#'
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#' Easy check for availability of columns in a data set. This makes it easy to get an idea of which antimicrobial combination can be used for calculation with e.g. \code{\link{portion_R}}.
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#' @param tbl a \code{data.frame} or \code{list}
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#' @param width number of characters to present the visual availability, defaults to filling the width of the console
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#' @details The function returns a \code{data.frame} with columns \code{"resistant"} and \code{"visual_resistance"}. The values in that columns are calculated with \code{\link{portion_R}}.
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#' @return \code{data.frame} with column names of \code{tbl} as row names
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#' @inheritSection AMR Read more on our website!
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#' @importFrom cleaner percentage
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#' @export
#' @examples
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#' availability(example_isolates)
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#'
#' library(dplyr)
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#' example_isolates %>% availability()
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#'
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#' example_isolates %>%
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#' select_if(is.rsi) %>%
#' availability()
#'
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#' example_isolates %>%
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#' filter(mo == as.mo("E. coli")) %>%
#' select_if(is.rsi) %>%
#' availability()
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availability <- function ( tbl , width = NULL ) {
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x <- base :: sapply ( tbl , function ( x ) {
1 - base :: sum ( base :: is.na ( x ) ) / base :: length ( x )
} )
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n <- base :: sapply ( tbl , function ( x ) base :: length ( x [ ! base :: is.na ( x ) ] ) )
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R <- base :: sapply ( tbl , function ( x ) base :: ifelse ( is.rsi ( x ) , portion_R ( x , minimum = 0 ) , NA ) )
R_print <- character ( length ( R ) )
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R_print [ ! is.na ( R ) ] <- percentage ( R [ ! is.na ( R ) ] )
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R_print [is.na ( R ) ] <- " "
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if ( is.null ( width ) ) {
width <- options ( ) $ width -
( max ( nchar ( colnames ( tbl ) ) ) +
# count col
8 +
# available % column
10 +
# resistant % column
10 +
# extra margin
5 )
width <- width / 2
}
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if ( length ( R [is.na ( R ) ] ) == ncol ( tbl ) ) {
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width <- width * 2 + 10
}
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x_chars_R <- strrep ( " #" , round ( width * R , digits = 2 ) )
x_chars_SI <- strrep ( " -" , width - nchar ( x_chars_R ) )
vis_resistance <- paste0 ( " |" , x_chars_R , x_chars_SI , " |" )
vis_resistance [is.na ( R ) ] <- " "
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x_chars <- strrep ( " #" , round ( x , digits = 2 ) / ( 1 / width ) )
x_chars_empty <- strrep ( " -" , width - nchar ( x_chars ) )
df <- data.frame ( count = n ,
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available = percentage ( x ) ,
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visual_availabilty = paste0 ( " |" , x_chars , x_chars_empty , " |" ) ,
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resistant = R_print ,
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visual_resistance = vis_resistance )
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if ( length ( R [is.na ( R ) ] ) == ncol ( tbl ) ) {
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df [ , 1 : 3 ]
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} else {
df
}
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}