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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] 64     0.125  0.0625 32     0.025  64     0.01   64     4      0.001 
#> [11] 128    0.5    0.25   32     0.025  0.01   0.025  0.001  0.01   0.005 
#> [21] 0.0625 0.01   >=256  64     64    
random_disk(25)
#> Class 'disk'
#>  [1] 46 32 21 18 42 16 48  9 47 35  7 21 41 23 39 12 45 27 33 31 41 25 42 47 46
random_sir(25)
#> Class 'sir'
#>  [1] I I S I S S I S R R R I S R I I I R I I I R R 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] 8     0.125 0.002 0.25  0.25  16    1     0.002 128   1     0.025 0.25 
#> [13] 2     0.002 0.001 64    4     0.001 0.025 0.001 0.005 0.005 0.01  0.01 
#> [25] 0.25 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 16  1   2   1   1   1   16  4   0.5 16  2   8   16  1   8   0.5 2   1   4  
#> [20] 8   8   16  0.5 4   0.5
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] <=0.025 <=0.025 0.0625  <=0.025 1       <=0.025 2       <=0.025 <=0.025
#> [10] 0.0625  0.125   0.0625  1       2       1       8       2       0.25   
#> [19] 8       8       8       0.25    8       0.25    1      

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 43 11 19  9 48 20 22 49 10 27 10 35  8 27 31 26 28 13 34 32 12 37 46 41 26
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 11 14 14 17 15 16 17 14 12 17 13 11 13 15 17 16 17 11 11 17 14 13 12 17 16
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 22 22 21 20 17 21 21 25 16 22 23 25 15 25 19 18 23 18 24 21 22 24 17 18 24
# }