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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] 0.001  256    0.025  0.0625 0.125  0.25   2      0.001  32     0.01  
#> [11] 0.0625 0.001  0.01   256    0.0625 32     0.001  0.25   128    256   
#> [21] 1      0.002  0.5    0.01   0.002 
random_disk(25)
#> Class 'disk'
#>  [1] 41 43 23 17 19 28 14 38 18 30 42 11 37 40 39 16 41 43 49 45 44 28 36 14 10
random_sir(25)
#> Class 'sir'
#>  [1] R S R I R R R I R S R I I S S R I I I S I R I I S

# \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] 0.25  0.5   32    0.002 0.005 0.25  0.25  4     0.001 0.005 0.025 0.01 
#> [13] 0.25  0.005 0.005 2     0.01  1     4     8     0.5   16    1     >=64 
#> [25] 0.25 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 1  1  1  4  16 8  1  16 4  16 8  16 4  2  16 4  4  1  2  4  4  1  16 16 2 
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 2      4      0.25   0.0625 2      4      0.25   4      1      0.0625
#> [11] 0.25   0.25   4      1      0.5    0.0625 4      0.5    2      0.5   
#> [21] 0.5    0.0625 1      0.0625 0.125 

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 25 11 13 40 46 37 44 42 10 41 50 39 39 40 33 19 48 39 20 11 32 20 50 38 46
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 14 15 14 14 17 13 16 17 12 15 17 11 17 17 17 12 17 11 11 14 13 17 13 15 15
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 26 16 22 23 19 22 19 18 19 23 23 24 22 16 17 15 17 16 18 17 26 16 16 20 22
# }