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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] 0.025  0.005  8      0.25   8      16     256    0.0625 128    0.01  
#> [11] 64     16     0.01   32     8      8      0.25   128    0.5    64    
#> [21] 0.0625 0.001  0.005  8      16    
random_disk(25)
#> Class 'disk'
#>  [1] 13 20 30 25 46 47 38 10 17 47 32 10 12 26 17 42 20 43 46 20 26 43  7 16 29
random_sir(25)
#> Class 'sir'
#>  [1] I I I R S I I S R S S S R S I I I S R S I S 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] 0.125  4      0.5    64     4      0.125  0.0625 0.005  2      0.25  
#> [11] 0.5    128    4      16     128    16     0.002  1      1      0.25  
#> [21] 2      4      0.002  0.025  0.0625
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 2      <=0.25 1      2      1      8      2      8      1      0.5   
#> [11] 2      <=0.25 2      <=0.25 4      0.5    4      <=0.25 1      8     
#> [21] 1      16     8      8      2     
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1        0.125    <=0.0625 0.5      1        1        1        0.5     
#>  [9] 0.5      <=0.0625 0.125    0.5      0.25     1        0.25     4       
#> [17] 8        0.125    0.125    <=0.0625 0.5      8        4        1       
#> [25] >=16    

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 30 29 50 11 24 10 19 24 15 15 38 13 45 46 48 40 50 40 44 36 40 26 15 36 45
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 12 12 13 15 11 15 14 12 12 12 11 11 17 13 14 17 15 12 13 16 14 17 16 11 13
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 21 26 16 18 17 26 21 21 21 16 20 21 26 24 23 20 20 18 17 17 18 25 24 22 24
# }