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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] 0.01    0.25    64      4       8       0.125   16      0.125   128    
#> [10] 4       64      2       2       1       0.005   0.0625  2       0.125  
#> [19] <=0.001 0.025   256     8       2       128     0.5    
random_disk(25)
#> Class 'disk'
#>  [1] 39 21 49 46 49 48 32 49 18 43  8 14 50 31 38 18 36 47 42 50 18 47 50 17 13
random_sir(25)
#> Class 'sir'
#>  [1] I R S R R I R I R I I R I S R S R S S S I I I 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] 0.01  0.001 0.025 32    4     8     0.002 1     0.002 0.002 1     0.005
#> [13] 4     0.025 >=128 4     8     0.002 0.001 0.5   0.01  >=128 0.001 >=128
#> [25] 4    
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] <=1  <=1  2    4    4    4    <=1  8    8    8    <=1  <=1  4    4    8   
#> [16] 2    <=1  2    4    4    <=1  8    >=16 4    8   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.125  1      0.25   0.5    0.125  4      0.025  4      0.025  0.125 
#> [11] 0.025  0.25   4      >=8    0.5    0.125  0.025  0.025  0.5    0.25  
#> [21] 0.0625 0.125  2      0.0625 0.025 

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 39 45 17 46 43 35 44 42 26 40  9 14 49 40 46 48  8 43 31 47 47 39 40 13 42
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 14 16 17 12 13 12 11 16 11 13 17 15 14 17 14 13 16 16 11 12 13 14 14 14 16
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 22 26 18 15 21 26 23 22 16 22 27 25 15 24 16 23 20 19 18 23 24 15 27 18 17
# }