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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] 2      0.25   64     0.002  1      0.001  0.001  >=256  0.5    0.001 
#> [11] 64     >=256  64     0.001  >=256  1      0.025  128    0.125  0.001 
#> [21] 0.025  0.5    32     0.002  0.0625
random_disk(25)
#> Class 'disk'
#>  [1] 11 47 38 24 40 41 33 14 35 42 37 44 14 48 46 19 48 10  8 46 50 37 34 11 37
random_sir(25)
#> Class 'sir'
#>  [1] I R I I R I I R I S R R R I R I I R I S S I I S 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] 0.025  8      1      0.5    0.002  128    0.01   8      0.005  0.0625
#> [11] 1      0.025  0.025  0.125  0.002  4      0.002  0.005  0.025  0.0625
#> [21] 0.5    16     1      4      0.002 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 16   1    4    4    >=32 16   8    2    8    16   >=32 2    4    4    4   
#> [16] 8    4    4    1    16   2    16   2    4    1   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 4      0.5    0.5    0.125  1      0.25   0.025  0.125  1      1     
#> [11] 0.0625 0.125  0.025  0.025  0.025  0.025  4      0.0625 0.5    0.25  
#> [21] 0.025  0.125  2      0.25   0.5   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 39 42 48 39 26 24 10 34 16 48 43 40 14 11 46 17 21 50 43 49 44 41 40 15 46
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 16 17 11 14 17 15 16 15 11 15 17 12 15 14 16 11 12 17 17 15 12 11 17 15 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 21 19 15 21 17 15 21 22 23 21 22 25 20 18 21 20 26 18 21 19 18 21 16 24 21
# }