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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] 0.0625  8       0.005   1       <=0.002 0.25    2       2       0.005  
#> [10] 0.0625  0.025   128     32      128     4       0.25    <=0.002 0.005  
#> [19] 128     <=0.002 2       <=0.002 0.025   0.0625  256    
random_disk(25)
#> Class <disk>
#>  [1] 30 36 49 27 28 21 45 21 47 48 20  6 47 11 47 33 26 11 48 36 23 46  8 47 33
random_rsi(25)
#> Class <rsi>
#>  [1] S R S S S S S I S S R R S S S S I R I S I R R S 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] 0.25   0.0625 4      8      4      0.5    64     0.002  64     2     
#> [11] 0.01   >=128  64     0.25   16     0.002  0.025  0.125  64     0.01  
#> [21] 0.002  16     1      4      1     
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class <mic>
#>  [1] 16   16   >=32 2    16   8    >=32 8    4    >=32 2    8    2    4    8   
#> [16] 1    8    2    1    4    16   >=32 >=32 16   4   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class <mic>
#>  [1] 1       <=0.125 >=8     2       1       1       4       <=0.125 1      
#> [10] 0.25    <=0.125 0.25    4       0.5     0.25    0.5     0.5     2      
#> [19] <=0.125 >=8     <=0.125 4       2       >=8     0.5    

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class <disk>
#>  [1] 43 23 12 45 35 12 16 32 44 17 18 47 48 25 48 17 50 22 29 35 46 50 49 24 40
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class <disk>
#>  [1] 14 13 16 11 13 12 16 13 16 11 14 17 16 14 13 17 13 14 16 13 15 15 15 14 11
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class <disk>
#>  [1] 19 21 19 26 17 25 19 27 19 23 23 22 17 23 25 19 19 25 21 18 27 18 15 18 18
# }