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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       0.005   4       16      0.01    1       16      0.25    0.005  
#> [10] 0.125   <=0.002 0.125   64      0.25    4       1       128     8      
#> [19] 64      >=256   0.25    8       >=256   2       16     
random_disk(25)
#> Class 'disk'
#>  [1] 32 30 15 34 20 43 17 28 30 50 25 10 47 23 26 13 32 24 28 46 36 14 50 46 21
random_sir(25)
#> Class 'sir'
#>  [1] S R S R I R S S S I S I R I I I S I R I S S 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] 2       >=64    0.025   16      0.125   2       32      32      16     
#> [10] 0.5     2       0.0625  16      0.25    0.01    4       0.002   16     
#> [19] 1       <=0.001 0.0625  0.0625  8       >=64    2      
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 0.5  1    4    2    1    1    >=16 0.5  4    0.5  0.5  1    2    >=16 2   
#> [16] 4    0.5  8    2    >=16 0.5  4    8    2    1   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] >=4    0.25   0.5    0.5    0.125  1      0.25   >=4    0.5    2     
#> [11] 0.5    1      0.0625 0.5    0.5    0.0625 2      0.125  1      1     
#> [21] 0.25   0.0625 1      0.25   0.125 

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 16 33 30 28 41 44 12 12 40 23 45  9 40 49 34 33 20 10 16 42 39  8 40 24 44
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 13 13 17 11 14 12 13 13 13 11 15 13 15 15 11 13 14 12 13 12 17 16 15 14 11
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 17 20 22 21 24 15 15 22 26 15 27 21 15 15 22 19 20 20 27 24 18 15 26 25 15
# }