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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] 0.5    0.25   8      0.025  0.01   2      0.025  8      64     256   
#> [11] 256    0.0625 128    0.005  64     1      256    4      16     8     
#> [21] 256    8      0.001  4      32    
random_disk(25)
#> Class 'disk'
#>  [1] 41 32 18 50 41 40 44 26 32 22 48 24 42 49  7 16 19 15 39  9 50 46 27 41 19
random_rsi(25)
#> Class 'rsi'
#>  [1] R R I I S I R I I R I I S I R S R S R R I R 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] <=0.005 8       0.0625  1       0.125   0.025   0.125   0.025   0.025  
#> [10] 0.01    0.5     0.125   16      2       64      16      0.0625  0.5    
#> [19] 32      0.0625  4       64      0.0625  >=128   <=0.005
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 0.25 4    4    8    4    0.5  32   8    32   8    64   4    2    8    64  
#> [16] 16   0.25 4    0.5  2    8    2    16   4    4   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.125 0.5   4     8     1     1     0.5   8     0.25  0.25  0.125 2    
#> [13] 0.5   8     0.5   0.125 0.125 2     0.25  8     4     2     0.125 0.25 
#> [25] 8    

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 33 38 45 45 16 20 31 36 34 30 44 26 18 37 31 48  8 38 50 35  9 22 49 46 23
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 16 13 12 16 14 17 16 17 11 12 14 17 12 12 14 13 16 15 13 12 12 12 16 15 17
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 26 15 18 19 17 15 26 25 18 19 23 16 16 15 24 15 21 22 26 25 24 22 24 21 25
# }