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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] 32    1     0.01  0.005 32    0.025 >=256 32    0.025 0.005 0.25  2    
#> [13] 0.001 8     16    0.001 8     64    8     16    0.001 0.002 0.025 16   
#> [25] 16   
random_disk(25)
#> Class 'disk'
#>  [1] 31 19 46 34 39 11 18 21 43  6 50 28 15 48 11 50 42 30 25 29 49 22 50 20  6
random_sir(25)
#> Class 'sir'
#>  [1] I I R R S R I R I R I I S S R I S S I I S R S S 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] 128    0.001  0.01   128    0.002  16     0.01   0.002  0.025  256   
#> [11] 8      0.025  0.002  2      256    0.25   0.125  16     2      0.002 
#> [21] 16     128    128    128    0.0625
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 32  1   16  16  32  32  2   16  0.5 8   32  8   8   8   32  32  16  4   1  
#> [20] 2   4   8   4   16  1  
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.5      2        >=4      <=0.0625 0.5      1        0.25     2       
#>  [9] 1        >=4      1        0.125    2        0.25     1        >=4     
#> [17] 1        2        2        >=4      >=4      1        0.25     >=4     
#> [25] 1       

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 48 11 40 10 50 25 40 49 42 18 32 47 27 36 36 13 42 50 47 18 49 14 50 39 12
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 15 15 15 11 17 13 17 11 16 13 12 13 15 13 16 12 12 16 13 15 17 16 11 14 15
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 26 16 16 21 17 24 20 15 24 23 17 16 25 16 19 15 18 27 26 21 27 27 19 27 26
# }