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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] 128     8       2       64      64      0.002   4       0.025   <=0.001
#> [10] 0.01    16      0.5     <=0.001 1       64      0.5     0.002   0.125  
#> [19] 0.025   8       0.025   8       >=256   0.005   0.5    
random_disk(25)
#> Class 'disk'
#>  [1] 17 34 17 49 40 28 47 24 44  6 31 46 41 47 36 15 48 49 44 50 18 49 44 20 27
random_sir(25)
#> Class 'sir'
#>  [1] S S S S S I S R R R I R I S R I I I S I S S I R 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] 64      0.25    0.125   <=0.001 0.005   2       <=0.001 0.005   16     
#> [10] 2       32      0.01    0.005   0.25    <=0.001 0.125   2       16     
#> [19] 0.025   0.25    0.005   4       0.025   8       64     
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 2    4    >=32 1    8    >=32 0.5  4    4    8    0.5  16   8    4    4   
#> [16] 16   4    1    4    0.5  0.5  >=32 2    >=32 >=32
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 4      0.25   2      4      2      0.5    0.25   0.0625 0.125  >=8   
#> [11] 4      4      0.125  2      0.5    2      0.125  >=8    1      2     
#> [21] 4      0.5    0.125  0.25   >=8   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 36 47 48 24 19 50 34 23 39 40 21 36 25 37 31 43  8 45 47 37 22 48 12 21 43
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 11 11 13 13 11 11 14 11 15 11 12 15 14 17 15 17 17 12 13 17 12 13 11 11 16
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 25 22 20 19 27 17 24 18 27 15 18 22 18 21 24 15 22 19 21 20 21 18 20 21 23
# }