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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] 0.025   128     >=256   0.025   4       0.01    4       0.0625  16     
#> [10] <=0.002 64      32      128     64      >=256   16      32      0.005  
#> [19] 1       8       8       1       <=0.002 32      0.025  
random_disk(25)
#> Class 'disk'
#>  [1] 30 34 33 48 14 38 44 16 49 44 48 15 38 11 44 18 11 45 48 36 39 44 45 38 45
random_sir(25)
#> Class 'sir'
#>  [1] S R I R S I R I S R I R S I S S S R S S R S R 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] 0.025  >=128  1      64     64     >=128  64     2      0.025  0.001 
#> [11] 0.0625 0.25   0.01   0.002  0.025  0.001  0.005  0.025  32     64    
#> [21] 0.005  0.25   4      0.001  2     
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 64  8   16  8   8   2   <=1 16  32  2   32  64  64  2   8   8   <=1 16  <=1
#> [20] 8   <=1 64  16  64  32 
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] <=0.0625 >=4      2        <=0.0625 1        0.25     0.25     2       
#>  [9] 0.5      >=4      >=4      >=4      1        >=4      1        1       
#> [17] 0.25     >=4      0.25     0.25     >=4      1        2        0.125   
#> [25] 0.5     

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 28 35 37 15 14 27 50 33 48 14 16  8 10 49 46 24 44 46 19 36 40 33 38 48 27
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 16 11 14 11 13 14 16 17 11 16 16 14 13 12 12 16 13 12 14 15 15 15 16 11 15
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 18 19 17 17 18 23 25 27 24 20 21 21 15 25 24 26 22 26 24 21 19 16 27 21 26
# }