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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] >=256   32      <=0.001 32      1       0.005   0.5     4       0.0625 
#> [10] 128     >=256   >=256   8       0.125   8       0.002   1       0.005  
#> [19] 128     0.25    0.025   8       <=0.001 <=0.001 16     
random_disk(25)
#> Class 'disk'
#>  [1] 18  7 50 40 43 33 21 21 43 17 40 46 46  9 14 13 27 14 17 18 42 19 19 30 36
random_sir(25)
#> Class 'sir'
#>  [1] R R S R S R S S I I I S R I S S R I I R I I S 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] 1       0.25    32      32      0.25    0.002   0.25    16      0.125  
#> [10] 0.5     16      <=0.001 4       2       0.005   0.5     0.025   8      
#> [19] 2       64      32      0.5     0.005   <=0.001 0.0625 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 1    2    0.25 0.5  1    1    0.5  0.5  0.5  16   1    1    0.5  0.5  1   
#> [16] 16   1    16   0.5  2    4    8    4    1    1   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] <=0.025 1       0.25    <=0.025 0.0625  <=0.025 0.125   >=4     >=4    
#> [10] 1       1       1       1       <=0.025 0.25    1       0.0625  0.25   
#> [19] 0.125   <=0.025 0.125   0.125   >=4     0.25    >=4    

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 47 39 14 30 49 29 13 31 35 41 11 42 18 34 35 22 36 14 48 40 41 46 12 32 34
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 13 11 17 11 14 12 13 16 12 13 11 11 15 15 15 17 11 11 16 12 12 16 14 11 17
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 15 19 16 23 16 27 15 20 27 21 26 20 20 27 22 26 19 26 19 26 23 23 16 17 24
# }