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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_sir(size = NULL, prob_SIR = 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_SIR

a vector of length 3: the probabilities for "S" (1st value), "I" (2nd value) and "R" (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 clinical_breakpoints 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] 0.005  64     0.001  1      2      0.005  0.025  0.0625 0.005  0.0625
#> [11] >=128  2      8      8      16     0.001  0.125  32     0.01   8     
#> [21] 2      0.5    0.0625 64     >=128 
random_disk(25)
#> Class 'disk'
#>  [1]  7 49  8 41 20 28 40 16 41 42 41 45 36 11 50 25 44  9 24 42 38 49 41 45  9
random_sir(25)
#> Class 'sir'
#>  [1] R R S S R I R I I R S S I I I I I I I S I I S I S

# \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] 0.002  64     0.005  0.001  0.5    0.025  2      0.005  0.0625 0.005 
#> [11] 0.125  8      2      0.125  16     0.0625 0.001  0.005  0.005  0.01  
#> [21] 0.005  64     0.005  0.025  0.0625
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 8    1    >=32 2    8    1    4    16   1    8    1    1    >=32 16   16  
#> [16] 16   2    >=32 1    8    8    1    4    1    16  
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1     >=8   0.5   2     1     1     0.25  0.125 4     >=8   >=8   0.125
#> [13] >=8   >=8   4     2     0.25  >=8   >=8   4     >=8   4     0.125 2    
#> [25] 2    

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 46 14 10 45 47 37 40 15 19 44 16 20 26 46 43 12 10 22 43 49 48 47 13 15 35
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 11 17 14 15 13 17 17 12 17 14 16 16 11 12 16 12 13 11 15 12 17 15 11 14 11
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 24 20 20 23 24 25 21 16 27 16 21 21 27 23 23 23 20 15 23 25 21 17 21 16 20
# }