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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] 1       <=0.001 <=0.001 8       32      <=0.001 128     0.01    0.002  
#> [10] 0.01    256     <=0.001 0.5     1       4       256     0.25    64     
#> [19] 1       0.01    1       0.5     0.0625  2       0.005  
random_disk(25)
#> Class 'disk'
#>  [1] 44 35 30 50 38 41  6 45 36 25 28 45 43  9 15 22 46 12 45 22 37 25 12 50 43
random_sir(25)
#> Class 'sir'
#>  [1] S I R S S R R R R R S S S R S I R S I S S R S 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] 32     64     0.025  >=128  0.25   1      16     8      4      8     
#> [11] 4      0.0625 0.25   2      0.01   8      32     >=128  1      0.002 
#> [21] 16     0.025  0.002  0.01   0.0625
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 32  16  2   32  4   8   4   0.5 0.5 4   1   0.5 0.5 16  4   16  2   1   0.5
#> [20] 2   0.5 0.5 1   1   16 
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 16     0.5    16     1      2      1      1      4      0.0625 0.025 
#> [11] 16     0.0625 0.25   4      0.5    16     0.25   0.5    0.125  16    
#> [21] 0.025  1      0.5    0.125  0.025 

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 34 48 26 44 41 18 40 49 46 32 49 30 14 40 18  9 42 17 47 42 18 43 20 33 48
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 13 17 13 14 15 14 11 14 12 16 17 17 15 11 16 13 15 11 14 15 13 17 14 17 17
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 26 24 15 17 22 20 26 19 18 22 24 20 16 16 27 16 19 27 25 18 16 26 17 26 19
# }