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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 2023 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] 0.005  128    1      0.01   0.002  0.01   4      8      0.01   0.002 
#> [11] 8      0.5    2      0.0625 8      2      128    4      0.5    0.125 
#> [21] 0.005  0.005  0.125  4      0.001 
random_disk(25)
#> Class 'disk'
#>  [1] 16 34 40 10 14 49 42 17 17 16 44 22  9 24 40 25  8 47 47 38 17 42 41 41 32
random_sir(25)
#> Class 'sir'
#>  [1] S R I I S I S I S R I S I I S I I R S R R S R R R

# \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] 64      0.025   4       0.005   0.01    1       32      32      0.5    
#> [10] 0.5     0.25    32      2       0.5     0.002   0.5     2       0.01   
#> [19] 32      64      <=0.001 0.01    2       8       0.025  
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 2    >=16 0.25 0.5  0.25 4    2    8    1    8    2    0.5  1    8    0.25
#> [16] 1    >=16 0.5  0.5  1    8    0.5  >=16 4    4   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 2       0.5     <=0.125 <=0.125 <=0.125 0.25    0.25    <=0.125 1      
#> [10] 1       1       2       2       4       <=0.125 2       <=0.125 0.25   
#> [19] 2       0.5     2       2       <=0.125 0.5     0.5    

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 32 41 32 19 38 41 38 37 32 49 38 33 50 44 14 10 47 32 18 29 13 42 22 24 48
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 13 14 13 16 12 16 16 12 14 15 17 13 14 12 16 12 11 14 17 16 17 13 11 13 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 17 18 24 27 26 24 15 19 17 19 21 15 27 22 26 23 15 25 22 21 17 24 24 15 17
# }