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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] 2       64      0.25    2       1       2       0.125   4       0.25   
#> [10] 1       0.025   <=0.002 0.25    64      0.0625  0.005   0.01    8      
#> [19] 8       1       2       0.025   <=0.002 >=256   0.25   
random_disk(25)
#> Class 'disk'
#>  [1] 30 26 41 36 23 42 33 16 10 41 21 24 39 49 34 47 32 44 20 33 41 48 15  9  6
random_rsi(25)
#> Class 'rsi'
#>  [1] S S S I S I R I S I R I I R R I S S I S I I I I 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] 0.125  0.25   0.025  16     0.005  0.125  0.5    0.0625 4      16    
#> [11] 16     1      2      1      0.01   0.005  0.125  0.002  0.01   0.25  
#> [21] 0.5    0.002  0.0625 >=32   16    
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 2    2    1    >=16 2    >=16 2    4    8    2    2    8    2    2    1   
#> [16] >=16 >=16 4    2    2    1    2    4    >=16 2   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.25    0.5     8       0.0625  1       0.5     <=0.025 0.125   <=0.025
#> [10] 4       0.0625  0.25    0.0625  <=0.025 0.25    0.0625  1       0.125  
#> [19] 2       <=0.025 2       0.25    8       1       0.125  

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 16 50 45 44 44 18 37 24 21 47 26 16 15 43 43 15 40 35 30 15 21 41  8 29 15
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 15 11 14 15 11 16 16 14 17 13 14 11 16 12 14 12 17 12 15 11 14 11 14 13 16
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 21 16 18 21 25 26 19 21 26 17 18 15 24 15 18 20 17 24 17 19 26 18 17 16 15
# }