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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] 0.01    1       0.125   >=256   32      0.005   0.25    0.25    1      
#> [10] 32      64      0.125   32      4       0.0625  16      <=0.001 >=256  
#> [19] 1       1       32      0.125   2       16      0.5    
random_disk(25)
#> Class 'disk'
#>  [1] 18 26 28 25 20 42 41  9 45 22 49 25 50 32 23 20 23 41 46 28 46 40 48 37 24
random_sir(25)
#> Class 'sir'
#>  [1] S S R R S S R R R I I S S I I I R I I R I R R I 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] 0.001  32     128    128    8      4      0.25   0.005  0.01   128   
#> [11] 0.002  0.01   0.25   0.002  0.025  1      4      0.25   16     128   
#> [21] 128    8      0.5    0.0625 16    
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 0.5  16   0.5  0.5  >=32 8    8    1    8    >=32 >=32 2    0.5  0.5  1   
#> [16] 2    0.5  4    2    1    0.5  >=32 2    0.5  0.25
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1       1       0.25    2       <=0.125 2       0.25    1       0.5    
#> [10] 0.5     4       <=0.125 0.25    4       0.25    0.5     2       <=0.125
#> [19] 2       1       1       0.25    <=0.125 0.5     <=0.125

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 41 46 50 12  9 33 34 12 50 35 19 12 41 34 13 48 10 42 16 20 10 49 29 17 42
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 12 13 11 16 16 14 14 12 13 17 17 16 13 13 13 15 15 17 13 17 15 11 12 16 12
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 17 23 25 25 19 23 18 25 16 17 15 22 24 15 22 17 15 26 25 25 21 25 22 16 27
# }