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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] 4       0.125   0.25    0.0625  0.125   8       4       0.125   1      
#> [10] 128     0.002   0.25    16      64      4       128     32      0.002  
#> [19] <=0.001 0.125   0.125   0.005   64      0.0625  <=0.001
random_disk(25)
#> Class 'disk'
#>  [1]  7 22 23 44 40 29  7 32 41  7 34 43 37 46 44 49 48  6 13 49 42 12 49 47 46
random_sir(25)
#> Class 'sir'
#>  [1] S S S S R I S I R I I R S R I I S S I I I S I I 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] 0.0625 0.025  0.01   16     4      0.025  64     128    128    2     
#> [11] 0.25   0.125  16     0.125  0.5    0.005  0.25   16     16     1     
#> [21] 0.125  64     0.002  1      0.01  
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 0.5  8    2    16   >=32 2    0.5  >=32 8    16   0.25 4    4    16   0.5 
#> [16] >=32 1    1    0.25 >=32 1    2    1    16   2   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 8        0.5      2        0.125    0.25     >=16     >=16     1       
#>  [9] 8        0.25     8        1        0.25     0.5      <=0.0625 1       
#> [17] 8        0.125    4        8        8        >=16     1        1       
#> [25] 1       

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 17 25 45 40 20 17 33 24  9 28 19 49 44 12 50 27 12 48 29 49  9 41 45 23 41
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 17 12 12 16 11 11 15 17 14 17 14 11 12 14 15 14 16 11 14 15 11 12 16 13 11
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 22 18 25 24 18 19 15 21 25 20 15 17 21 22 26 19 16 26 19 19 19 19 26 27 17
# }