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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 2023 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       32      0.5     8       0.002   16      32      >=128   <=0.001
#> [10] 0.025   32      16      0.25    0.125   >=128   32      0.25    0.125  
#> [19] 2       0.0625  0.5     0.005   0.005   0.5     0.005  
random_disk(25)
#> Class 'disk'
#>  [1] 20  9 38 12 19  9 15 10 28 47  9 28 40 15 45 50 40 36 31 26 45 35 42 38 18
random_sir(25)
#> Class 'sir'
#>  [1] I R I S R S I I R R S S R S R R R I S S R I I I 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] 0.001  1      >=32   0.5    0.5    0.5    16     0.01   0.0625 0.005 
#> [11] 4      0.5    4      0.125  0.001  0.125  0.002  0.01   0.5    0.0625
#> [21] >=32   0.001  2      16     0.001 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 8    4    0.5  4    2    4    >=16 >=16 2    1    2    4    2    4    4   
#> [16] 8    2    >=16 4    8    4    8    1    4    2   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.0625 0.125  4      0.125  0.25   4      8      0.25   1      >=16  
#> [11] 8      4      8      0.0625 0.5    0.25   >=16   0.5    2      0.25  
#> [21] 4      0.0625 4      2      0.125 

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1]  9 14 25 18 50 13  9 32 46 45 50 46 42 28 29 37 29 14 16 41 29  9 25 44 20
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 14 12 17 12 11 17 12 16 17 14 11 11 16 12 16 14 17 12 17 17 13 11 13 13 13
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 18 20 25 26 20 22 24 24 24 18 23 20 16 15 25 17 16 19 24 16 21 15 19 15 22
# }