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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 2024 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  0.125  1      0.002  1      0.125  32     0.01   0.5    16    
#> [11] 2      0.001  0.005  0.0625 0.001  0.001  2      256    128    0.005 
#> [21] 0.002  1      0.002  32     16    
random_disk(25)
#> Class 'disk'
#>  [1]  8 40 42 43 46 45 40 48 50 23  9 25 36 16  6 43 36 41 50 40 47 25 34 37  9
random_sir(25)
#> Class 'sir'
#>  [1] I S R R I I I I R R I I I S R S R S S S R R I S 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     16    2     0.025 8     32    0.001 4     2     128   0.125 4    
#> [13] 0.01  >=256 0.25  0.25  1     0.002 0.25  2     0.005 0.001 64    0.001
#> [25] 0.025
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] <=1  8    4    <=1  >=16 >=16 >=16 2    >=16 2    >=16 4    >=16 >=16 2   
#> [16] 2    >=16 <=1  4    8    8    >=16 4    8    4   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 2      0.125  0.125  0.25   1      1      0.0625 0.5    1      0.5   
#> [11] 4      0.125  0.25   0.25   0.0625 4      0.25   0.125  4      1     
#> [21] 4      0.5    0.0625 4      0.125 

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 47 49 10 40 23 16 20 34 45  8 42 10 20 11 30 36 40 35 14 24  8 38 10 10 15
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 14 12 14 11 13 15 13 11 17 15 14 13 11 15 17 14 16 17 17 17 11 12 12 12 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 27 15 17 23 23 18 18 17 15 18 27 15 25 16 21 15 24 23 22 22 15 23 25 23 24
# }