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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    0.025   0.005   1       0.5     0.25    0.25    <=0.001 1      
#> [10] <=0.001 0.025   0.005   8       32      >=128   16      4       32     
#> [19] 4       0.5     2       2       16      <=0.001 8      
random_disk(25)
#> Class 'disk'
#>  [1] 45 30 36 15 21 12 49 24 19 17 31 44 41 45 36 11 27  9 48 42 42 24 41 23 13
random_sir(25)
#> Class 'sir'
#>  [1] I R S S S I S S S R I S S I S S R R I R S I 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] 2     0.01  0.01  0.002 8     0.125 0.001 0.025 1     0.001 1     0.001
#> [13] 2     32    0.5   0.005 1     2     0.125 2     4     0.25  0.005 4    
#> [25] 0.01 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 16  2   0.5 1   0.5 16  1   32  8   0.5 16  0.5 1   32  64  32  8   1   2  
#> [20] 64  8   32  16  32  2  
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.25   0.5    4      2      4      4      >=16   4      2      0.25  
#> [11] >=16   0.5    4      >=16   0.0625 0.125  0.25   8      0.25   1     
#> [21] 2      0.25   2      2      0.5   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 24 18 17 31 47 37 24 43 10 22 43 32 37 33 26 11 19 38 43 43 41 47 34 48 11
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 14 16 15 15 16 12 11 16 12 17 12 16 17 11 16 11 11 15 16 16 14 16 16 12 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 18 23 23 17 15 15 22 19 18 20 16 27 27 20 25 15 26 17 23 24 19 16 16 22 23
# }