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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] 1       256     2       0.125   64      0.5     0.025   <=0.001 0.25   
#> [10] 0.025   16      0.0625  0.005   32      <=0.001 0.25    2       0.25   
#> [19] 16      128     64      256     32      256     0.005  
random_disk(25)
#> Class 'disk'
#>  [1] 12 10 46 48 20 46 12 18 31 21  8  7 24 21 48 48 26 42 40 18 47  7 16  9  9
random_sir(25)
#> Class 'sir'
#>  [1] S R I S R S I R I S R S I I S I R S S I S I R R 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] 2      32     4      0.25   4      0.5    2      0.5    0.01   0.01  
#> [11] 0.001  1      2      2      0.005  0.5    >=256  0.5    16     0.0625
#> [21] 0.002  0.01   0.0625 8      0.125 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 2    >=16 4    1    8    4    4    >=16 1    4    8    8    >=16 2    >=16
#> [16] 1    1    1    2    >=16 >=16 8    1    >=16 1   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 4      2      0.0625 0.025  1      0.025  0.125  0.025  0.125  4     
#> [11] 0.5    4      0.025  4      8      2      4      0.5    0.0625 0.25  
#> [21] 0.025  0.5    >=16   0.125  0.025 

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 47 49 49 45 43 38 34 45 32 20 15 23 21 20 46 21 40 46 46 17 24 33 23 40 49
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 11 15 15 17 17 15 12 14 16 15 16 12 13 12 13 17 17 13 12 14 13 17 16 17 16
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 27 19 16 24 26 16 22 25 24 24 21 27 17 20 23 18 27 26 15 24 26 22 26 18 24
# }