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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 2024 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] 64     4      0.25   0.125  0.125  4      0.001  0.0625 32     0.025 
#> [11] 16     2      2      4      16     0.0625 0.001  0.5    0.25   >=256 
#> [21] 32     0.25   2      2      0.125 
random_disk(25)
#> Class 'disk'
#>  [1]  6 44 14 31  8 38 41 16 35 39 22 46 25 47 11 44 26 20 17 35 37 22 32 43 14
random_sir(25)
#> Class 'sir'
#>  [1] I R I I S S S R R I I S S R R I I I I I I S R I 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] 16      0.25    >=64    32      2       4       0.01    1       1      
#> [10] 0.0625  32      0.0625  0.025   <=0.001 1       4       >=64    0.25   
#> [19] 0.5     4       0.005   8       1       4       0.002  
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 4    16   8    8    2    32   4    8    16   4    16   <=1  16   >=64 16  
#> [16] >=64 8    >=64 4    >=64 <=1  4    4    >=64 4   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.25    1       4       1       1       0.25    0.0625  0.25    0.0625 
#> [10] 0.5     <=0.025 <=0.025 0.5     1       <=0.025 0.25    4       0.5    
#> [19] 1       0.125   0.5     1       1       1       <=0.025

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 46 48 26 34 22 36 47 21 21 45 46  8 11 39 17 17 45 19 44 37 21 25 16 48 44
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 13 13 14 14 12 12 12 15 17 11 11 15 17 16 15 15 16 12 11 12 15 17 13 14 11
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 20 25 26 15 23 20 26 22 20 16 26 17 21 17 23 17 22 26 27 15 17 25 21 18 15
# }