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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 agent, 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 agent 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] 2       8       2       0.125   2       0.025   0.025   0.005   0.002  
#> [10] <=0.001 4       0.025   0.005   0.01    2       0.025   2       16     
#> [19] 0.25    >=256   0.125   0.002   0.002   64      >=256  
random_disk(25)
#> Class 'disk'
#>  [1] 46 42 10 43 25  9 15  8 50 21 42 19 29  7 35 49 39 32 44 20 34 29 43 12 49
random_rsi(25)
#> Class 'rsi'
#>  [1] R R R I S R R S R S R R R S R S I I S S S I I I 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] 0.005   0.002   128     0.25    0.025   32      4       0.125   >=256  
#> [10] 8       <=0.001 <=0.001 0.002   32      0.5     16      0.005   0.005  
#> [19] 4       0.01    16      128     8       >=256   <=0.001
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 0.5  4    16   1    2    4    0.25 1    16   2    16   2    0.5  1    2   
#> [16] 16   0.25 0.5  16   0.5  1    8    8    0.5  8   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 4       <=0.025 0.0625  0.125   0.0625  2       <=0.025 1       0.125  
#> [10] 0.125   <=0.025 0.25    <=0.025 0.25    <=0.025 4       2       0.125  
#> [19] 0.25    0.125   0.25    2       0.0625  8       0.0625 

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 27 18 14 44 20 49 14 31 33 50 49 36 46 41 48 10 38 45 48 46 22 18 39 46 47
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 12 17 14 13 17 12 17 11 16 15 12 14 15 11 15 12 14 13 13 14 11 11 17 17 11
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 15 27 15 16 19 26 27 16 26 19 22 24 24 20 24 25 23 22 23 17 24 24 26 23 25
# }