Skip to contents

These functions can be used for generating random MIC values and disk diffusion diameters, for AMR data analysis practice. By providing a microorganism and antimicrobial agent, the generated results will reflect reality as much as possible.

Usage

random_mic(size = NULL, mo = NULL, ab = NULL, ...)

random_disk(size = NULL, mo = NULL, ab = NULL, ...)

random_rsi(size = NULL, prob_RSI = c(0.33, 0.33, 0.33), ...)

Arguments

size

desired size of the returned vector. If used in a data.frame call or dplyr verb, will get the current (group) size if left blank.

mo

any character that can be coerced to a valid microorganism code with as.mo()

ab

any character that can be coerced to a valid antimicrobial agent code with as.ab()

...

ignored, only in place to allow future extensions

prob_RSI

a vector of length 3: the probabilities for "R" (1st value), "S" (2nd value) and "I" (3rd value)

Value

class mic for random_mic() (see as.mic()) and class disk for random_disk() (see as.disk())

Details

The base R function sample() is used for generating values.

Generated values are based on the EUCAST 2022 guideline as implemented in the rsi_translation data set. To create specific generated values per bug or drug, set the mo and/or ab argument.

Examples

random_mic(25)
#> Class 'mic'
#>  [1] 8       0.25    0.002   0.0625  128     256     1       4       1      
#> [10] 128     <=0.001 0.0625  64      0.0625  0.125   0.025   0.25    0.002  
#> [19] 0.5     8       64      128     0.025   8       256    
random_disk(25)
#> Class 'disk'
#>  [1] 50 37 18 41 39 28 16 24 31 40 13 12 46 25  6 27 21 45 13 43 15 21 36 27 21
random_rsi(25)
#> Class 'rsi'
#>  [1] R S I R R R R S I S I S S S R S I I S S R R S S I

# \donttest{
# make the random generation more realistic by setting a bug and/or drug:
random_mic(25, "Klebsiella pneumoniae") # range 0.0625-64
#> Class 'mic'
#>  [1] 4       64      0.025   0.025   64      0.01    128     >=256   0.5    
#> [10] 2       0.125   0.0625  16      0.005   0.002   0.25    0.002   8      
#> [19] 0.25    8       <=0.001 4       <=0.001 0.125   2      
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 4   2   4   <=1 <=1 8   8   16  4   4   2   <=1 <=1 16  4   <=1 16  16  4  
#> [20] <=1 8   16  16  16  4  
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.5    1      0.5    0.5    0.0625 2      1      0.5    0.5    0.0625
#> [11] 1      0.25   0.125  2      0.25   2      0.125  1      0.0625 0.25  
#> [21] >=4    1      0.125  1      0.0625

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 42 48 22 13  8 14 38 49 12 38 37 21 41 11 48 44 34 27 33 41 10 44 36 11 42
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 11 17 12 17 17 14 15 17 16 16 16 15 16 12 13 12 15 12 12 11 13 14 17 13 16
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 19 27 24 21 24 19 16 17 19 22 26 24 18 25 22 27 20 24 24 19 27 26 21 27 21
# }