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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_rsi(size = NULL, prob_RSI = 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_RSI

a vector of length 3: the probabilities for "R" (1st value), "S" (2nd value) and "I" (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 rsi_translation 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] 0.125  0.01   32     1      16     256    32     0.01   64     0.005 
#> [11] 1      32     256    0.0625 0.0625 1      32     1      0.125  1     
#> [21] 0.0625 0.005  32     1      0.0625
random_disk(25)
#> Class 'disk'
#>  [1] 38 34 36 19 43 49 42 38 43 49 28 27 13 35 50 21 42 48 13 46 13  7 45 18 42
random_rsi(25)
#> Class 'rsi'
#>  [1] I R R I R I I I S I I R R R R R R I R S R R S I I

# \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] 4       0.25    2       >=128   0.025   0.025   32      0.5     0.002  
#> [10] 2       0.0625  32      0.005   0.005   64      0.25    2       64     
#> [19] 8       <=0.001 <=0.001 16      0.5     0.005   0.025  
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] <=1 2   32  2   32  2   8   16  16  4   32  16  4   32  16  4   2   8   <=1
#> [20] 32  4   2   16  4   2  
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1      >=8    1      4      4      1      0.025  0.125  0.5    >=8   
#> [11] 0.0625 0.025  4      0.25   0.25   0.5    0.125  0.0625 1      0.0625
#> [21] 2      0.5    0.5    0.0625 1     

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 40 27 35 42 49 47 43 26 29 28 14  8 24 40 23 49 40 26 10 37 15  8 36 40 42
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 11 14 17 14 16 17 13 14 17 13 13 13 16 16 11 13 16 11 12 14 15 11 14 13 17
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 25 22 20 23 18 22 15 16 24 20 23 21 15 18 17 16 23 19 19 18 20 21 20 24 25
# }