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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 drug, 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 drug 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] 32    4     0.001 8     2     0.025 4     128   128   0.5   0.025 8    
#> [13] 0.025 16    64    1     64    8     0.125 128   0.25  >=256 2     0.025
#> [25] 16   
random_disk(25)
#> Class 'disk'
#>  [1] 29 13 31 34 33 32  7  8 18 32 46 16 14 41 10 26 10 45 41 39 40 13 18 13 35
random_rsi(25)
#> Class 'rsi'
#>  [1] S I R S I R S R I R S R S I I I I I R R R R S I 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] 32      128     0.025   0.125   1       64      0.5     16      0.025  
#> [10] 0.25    0.25    0.25    0.25    0.0625  <=0.001 0.005   0.25    0.0625 
#> [19] 0.0625  0.025   <=0.001 16      2       32      0.0625 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 0.5 1   8   2   2   16  8   8   16  0.5 4   8   4   8   0.5 2   16  0.5 8  
#> [20] 8   0.5 16  2   8   0.5
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.125  0.0625 0.125  0.25   2      0.25   0.0625 2      0.125  0.125 
#> [11] 0.125  >=4    >=4    0.5    0.125  >=4    0.25   0.125  1      0.5   
#> [21] 0.0625 1      >=4    0.0625 >=4   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 17 36 40 30  8 48 50 21 28  8 12 20 34 17 20 47 46 49 25 20 47 42 36 25 47
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 12 14 14 13 14 14 17 14 14 14 12 17 13 11 14 11 13 11 14 13 11 12 16 14 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 23 23 16 26 18 20 22 15 18 19 27 15 16 21 21 21 25 23 22 18 17 17 25 18 16
# }