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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] 4       0.005   0.025   64      1       2       0.005   64      0.002  
#> [10] 0.0625  <=0.001 0.25    0.025   16      16      32      0.125   8      
#> [19] 0.125   <=0.001 0.005   0.002   8       2       64     
random_disk(25)
#> Class 'disk'
#>  [1] 46  9 26 16 29 29 48  9 13 22 33  6 22  8 37 44 45 49 21 37 10 42 41 33 44
random_sir(25)
#> Class 'sir'
#>  [1] S S S S R I S S R S S S I I S R S R R S I 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] 0.25    256     0.0625  0.025   16      0.5     0.125   128     0.01   
#> [10] 1       2       1       0.005   8       256     4       0.5     0.005  
#> [19] 256     0.0625  8       <=0.001 0.5     128     0.025  
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 32   32   32   0.25 8    2    >=64 16   4    >=64 >=64 0.5  1    >=64 8   
#> [16] 32   0.25 2    0.25 8    4    8    8    0.25 0.25
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 4      0.25   2      1      0.0625 4      2      1      4      8     
#> [11] 4      4      0.25   1      0.5    1      4      0.125  8      4     
#> [21] 1      0.5    0.125  0.125  4     

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 49 10 26 27 49 50 31 18 15 47 43 44 22 22 33 39 43 32 10 22 32 31 41 47 16
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 15 12 16 11 15 16 14 16 17 16 13 13 16 15 13 15 13 12 12 14 15 16 11 17 15
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 23 17 19 23 16 27 22 26 15 26 23 19 27 21 21 16 22 19 24 18 15 15 21 25 15
# }