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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] 0.125  2      4      2      4      16     0.5    0.001  16     2     
#> [11] 0.0625 0.0625 0.125  >=256  0.5    0.005  0.5    >=256  0.025  0.001 
#> [21] 0.0625 0.002  2      0.5    0.025 
random_disk(25)
#> Class 'disk'
#>  [1]  8 46 36 11 43 15 43 50 18 49 26 42 50 39 48 44 34 44 46  6 40 40 45 13 39
random_sir(25)
#> Class 'sir'
#>  [1] I S S R I I I R R I I I I R I I S R R I R R S 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       0.5     1       32      0.25    >=128   1       8       32     
#> [10] <=0.001 <=0.001 0.01    0.5     0.002   0.025   1       0.125   2      
#> [19] 1       0.01    0.01    0.0625  <=0.001 0.005   16     
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 8    1    >=16 >=16 4    0.5  1    8    0.5  8    8    4    8    8    >=16
#> [16] 8    >=16 1    4    >=16 4    >=16 4    1    8   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 16    0.25  1     8     0.125 2     2     2     4     1     1     16   
#> [13] 4     2     0.25  0.25  8     4     8     0.125 2     8     8     0.125
#> [25] 2    

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 26 40 25 44 10 49 50 46 38 23 11 48 45 11 25 29 47 50 46  8 47 31 40 48 42
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 14 16 13 14 11 11 15 14 11 16 11 16 17 15 17 13 16 17 17 14 11 15 14 16 13
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 18 27 27 15 16 18 18 22 17 27 25 20 23 22 22 25 16 20 18 16 16 22 19 18 24
# }