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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] 8       >=256   >=256   0.5     0.25    8       0.002   0.005   4      
#> [10] 4       0.125   32      0.002   0.25    0.005   0.025   128     <=0.001
#> [19] 0.01    8       128     16      0.002   1       0.025  
random_disk(25)
#> Class 'disk'
#>  [1] 34 27 17  6 44 17 49 39 32 27 49 45 15 40 29 29 26 10 26 50 23 10 32 33  6
random_sir(25)
#> Class 'sir'
#>  [1] I R S S I I S S S I R S R R R R I S R R 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] 0.005   128     0.01    <=0.001 128     16      16      0.5     0.25   
#> [10] 8       2       <=0.001 16      128     <=0.001 64      0.0625  0.25   
#> [19] 16      128     4       <=0.001 0.125   0.01    16     
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 2   16  8   4   <=1 8   8   4   4   2   2   <=1 16  4   2   8   2   2   8  
#> [20] 2   8   8   16  2   <=1
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] <=0.125 2       0.5     2       >=4     2       >=4     2       <=0.125
#> [10] <=0.125 0.25    >=4     <=0.125 0.5     >=4     1       1       1      
#> [19] <=0.125 <=0.125 2       1       2       <=0.125 1      

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 35 25 44 48 10 20 33 12 47 28 19 41 45 26 36 38 31 37 50  8 39 46 43 14 41
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 14 11 14 13 15 16 14 12 14 13 11 11 14 13 17 17 11 12 17 14 16 16 15 12 16
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 24 20 26 16 17 20 22 26 15 18 25 27 27 24 26 18 19 24 23 26 19 20 17 20 27
# }