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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] 32    0.25  0.025 4     8     0.125 0.5   0.25  0.125 128   0.01  0.125
#> [13] 0.025 4     0.005 256   8     0.01  256   128   0.125 0.002 0.25  64   
#> [25] 2    
random_disk(25)
#> Class 'disk'
#>  [1] 27  8 20 42 15 40 27 37 23 32 26 48  6 47 10 50 43 19 48 46 38 37 37 40 32
random_sir(25)
#> Class 'sir'
#>  [1] I S R R R I I R S I S S I I I S S S S R S I R R 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] 1      16     64     8      0.01   1      0.5    0.005  4      64    
#> [11] 0.01   16     0.5    0.001  0.025  0.005  16     0.25   2      0.0625
#> [21] 0.001  0.005  2      0.25   64    
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 16     0.5    32     1      2      <=0.25 1      1      0.5    16    
#> [11] 0.5    16     1      <=0.25 8      <=0.25 1      4      2      4     
#> [21] 4      0.5    0.5    32     2     
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 2      2      >=4    2      1      0.25   >=4    0.25   2      0.125 
#> [11] 0.125  0.5    0.0625 0.25   0.25   0.125  1      0.25   1      2     
#> [21] 1      >=4    0.125  2      >=4   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 17 13 10 44 40 18 34 19 15  9 17 28 12 35 47 40 49 34 23 21 31 43 34 42 19
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 13 15 17 12 17 15 16 13 13 12 14 16 15 17 13 15 11 15 17 14 13 11 15 15 15
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 27 23 16 16 16 24 19 18 18 18 23 22 15 17 24 22 18 15 21 23 26 23 26 20 22
# }