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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] 4      0.005  4      0.005  8      0.0625 2      0.125  0.025  0.005 
#> [11] 0.25   0.002  0.001  32     8      64     16     0.01   8      32    
#> [21] 0.25   16     0.0625 32     >=256 
random_disk(25)
#> Class 'disk'
#>  [1] 42 25 50 41 34 45 37 31 14 48 43 11 44 45 22 49 42 29 36 50 31 41 49 23 41
random_sir(25)
#> Class 'sir'
#>  [1] R R R S R S S R I R R R I S R I R I S I S R I R 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] 2     16    8     0.025 32    1     2     0.025 64    0.25  1     0.005
#> [13] 0.25  32    1     0.5   16    0.25  0.125 0.025 1     0.001 0.125 0.005
#> [25] 2    
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] >=32 8    2    2    16   1    2    2    2    4    2    >=32 16   >=32 >=32
#> [16] 2    4    1    2    16   4    >=32 8    16   2   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.25   0.0625 >=16   8      2      0.0625 1      0.125  0.25   1     
#> [11] 0.25   4      0.0625 0.25   1      0.0625 1      0.125  8      4     
#> [21] 2      2      4      0.0625 2     

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 38 47 47 49 23 43 41 49 31 43 26 46 49 48 49 42 40 24 44 23 50 11 42 13 33
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 16 16 12 13 11 17 16 11 14 17 17 16 11 15 14 16 12 15 16 14 15 13 16 14 12
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 26 27 19 22 22 27 17 19 25 25 27 16 25 24 15 24 27 25 26 21 22 23 25 23 25
# }