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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] 0.5    >=256  1      128    0.25   0.002  0.01   0.001  0.0625 64    
#> [11] 0.025  0.25   4      2      0.125  128    0.002  0.125  0.5    0.125 
#> [21] 0.01   2      0.01   0.001  0.01  
random_disk(25)
#> Class 'disk'
#>  [1]  9 49  8 40 12 34 34 45 45 47 21 44 18 38 42 17 14 14 40 41 34 45  7 46 47
random_rsi(25)
#> Class 'rsi'
#>  [1] R S R S R I S S R S S R R S R S S S S R I S I R R

# \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] 0.0625 >=64   0.125  1      0.5    >=64   0.002  32     0.0625 0.25  
#> [11] 8      0.001  0.0625 8      4      >=64   1      0.025  0.0625 32    
#> [21] 0.001  1      0.025  4      1     
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 2   4   2   16  <=1 8   4   8   2   16  16  <=1 <=1 <=1 8   16  16  16  8  
#> [20] 2   4   2   4   8   8  
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.5     >=16    8       2       0.25    0.5     8       1       >=16   
#> [10] 8       4       2       0.5     0.0625  >=16    <=0.025 0.0625  4      
#> [19] 0.125   >=16    0.0625  0.0625  0.125   0.0625  0.25   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 49 43 15 49 11 42 31 22 13 10  9 50 50 30 13 14 33 22 36 27 18 40 31 44 46
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 15 11 15 16 11 16 12 14 16 17 15 13 12 14 16 17 14 17 17 12 13 16 17 15 11
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 15 25 25 20 26 23 27 23 23 27 24 27 25 25 16 21 25 26 15 17 26 19 18 18 17
# }