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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] 0.25    8       64      2       32      2       0.01    4       0.005  
#> [10] 0.25    0.0625  0.005   8       32      4       4       >=256   0.25   
#> [19] 0.025   0.025   0.025   <=0.002 4       32      >=256  
random_disk(25)
#> Class 'disk'
#>  [1]  7 23 41 25 42 15 16 30 42 50  7 26 45 23 43 46 32 26 28 50 44 48 37 42 34
random_sir(25)
#> Class 'sir'
#>  [1] R S I I I R S S S R I S S R R R I S R R S R I S R

# \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] 32      8       <=0.001 0.01    2       8       0.5     1       128    
#> [10] 0.25    0.0625  0.025   4       0.01    0.125   0.25    0.25    0.125  
#> [19] 32      32      0.01    1       0.01    0.25    32     
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 16  64  16  32  64  32  2   2   1   64  8   4   0.5 8   32  8   64  4   32 
#> [20] 64  4   4   16  2   1  
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.5    2      0.25   0.025  >=16   2      >=16   0.0625 0.125  8     
#> [11] 0.125  1      0.0625 0.125  1      1      0.025  0.5    0.25   1     
#> [21] 0.25   1      0.025  0.0625 0.0625

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 26 30 21 13 11 43 45  9 23 49 44 12 30 34 14 30 17 12 30 42 49 43 23 31 45
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 12 16 16 12 11 13 14 15 13 17 11 11 14 16 12 11 15 15 11 14 11 14 13 12 12
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 24 25 23 17 21 26 20 19 22 27 23 15 24 19 22 25 26 18 25 21 22 15 23 23 27
# }