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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    0.001 >=256 0.001 0.005 8     8     1     16    0.002 >=256 16   
#> [13] 4     64    0.002 0.001 0.25  64    0.025 64    0.025 1     0.001 16   
#> [25] 0.5  
random_disk(25)
#> Class 'disk'
#>  [1] 10 42 50 49 46 44 48 49 32 49 20 30 44 13 10 34 26 26 26 47 19 38 23 41 41
random_sir(25)
#> Class 'sir'
#>  [1] R S S I I I I S S I S S R S S R S S R S R R R I 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] 0.125  0.5    128    64     8      0.0625 0.125  >=256  4      8     
#> [11] 0.125  2      32     2      0.0625 0.125  64     0.025  64     8     
#> [21] 0.002  8      0.025  1      4     
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 8    16   4    8    2    16   16   2    0.5  1    8    8    16   1    1   
#> [16] 4    2    8    8    2    8    0.25 2    0.5  0.5 
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] <=0.0625 0.25     8        2        0.25     1        4        2       
#>  [9] 0.25     <=0.0625 0.5      8        0.25     0.5      4        0.125   
#> [17] 2        0.25     4        4        0.25     <=0.0625 8        <=0.0625
#> [25] <=0.0625

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 40 43 38 39 15 49 39 10 47 43 30 38 15 26 16 24 32 16 36 47 35 11 45 42 41
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 11 16 14 13 11 11 16 17 14 11 15 16 17 12 17 16 11 11 12 13 14 12 13 11 11
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 19 25 18 20 25 16 15 25 19 25 27 19 25 20 23 21 17 19 25 25 22 24 17 22 21
# }