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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] 0.002  256    256    1      4      32     0.002  256    0.5    0.001 
#> [11] 2      0.5    0.002  0.25   64     0.001  8      1      0.025  1     
#> [21] 0.0625 4      0.025  8      0.5   
random_disk(25)
#> Class 'disk'
#>  [1] 45 39 38 39 45 40 12 49 22 43 44 20 18  8 50 40 49 22 15 22 38 45 12 49 41
random_sir(25)
#> Class 'sir'
#>  [1] R R S I I S R R I I R S I S I I I I I I S I S R 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] 1       0.01    0.0625  0.005   <=0.001 1       <=0.001 1       0.01   
#> [10] 0.5     0.5     2       16      16      8       0.0625  32      8      
#> [19] <=0.001 4       0.002   0.25    0.005   0.0625  0.025  
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 0.5  0.25 >=32 0.25 1    4    1    16   8    8    8    0.25 1    0.25 8   
#> [16] 2    2    4    8    >=32 0.25 >=32 >=32 >=32 0.5 
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.25     2        1        0.5      0.25     0.125    0.5      4       
#>  [9] 1        0.5      1        0.5      1        1        2        4       
#> [17] 0.125    0.25     0.125    0.5      0.5      0.25     <=0.0625 0.5     
#> [25] 2       

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 38 43 19 13 42 30 49 18 45 41 11 27 48  9 34 45 49 48 10 11 43 11 46 47 47
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 12 15 16 17 11 12 15 14 14 16 15 14 15 15 14 14 12 11 12 17 14 16 12 14 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 18 27 20 17 17 16 23 17 15 20 25 16 16 21 26 18 22 20 24 18 26 21 20 19 18
# }