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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] 32      0.0625  0.002   >=256   4       16      4       >=256   0.01   
#> [10] 8       8       4       0.0625  8       0.25    0.002   0.002   0.25   
#> [19] 0.0625  >=256   <=0.001 0.025   8       0.002   128    
random_disk(25)
#> Class <disk>
#>  [1] 40 43 40 50 12 30 46 29 23 39 31 20 33 50 33 41 13 47 40 40 10 29 50 41 47
random_rsi(25)
#> Class <rsi>
#>  [1] S R R I R R R S R S S S I I I I S S R R I S S S 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] 8      8      0.001  1      64     0.005  128    64     0.025  0.002 
#> [11] 128    0.25   0.025  16     0.025  32     32     2      0.0625 >=256 
#> [21] 0.001  0.005  0.005  16     8     
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class <mic>
#>  [1] >=16 4    2    2    8    1    1    0.5  4    2    0.5  1    1    >=16 2   
#> [16] >=16 8    0.5  8    2    4    4    8    2    >=16
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class <mic>
#>  [1] 4       0.0625  1       1       4       1       0.25    0.0625  0.5    
#> [10] 2       0.5     1       <=0.025 4       0.5     0.0625  0.0625  0.25   
#> [19] >=8     0.25    0.25    0.25    0.25    0.0625  1      

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class <disk>
#>  [1] 35 47 16 42 50 35  8 11 43 46 31 23 14 35 40 46 10 28 12 47 25 42 23 22  8
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class <disk>
#>  [1] 14 11 14 13 17 16 14 16 14 11 14 15 17 16 13 14 12 11 13 16 15 13 11 13 17
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class <disk>
#>  [1] 15 27 24 16 20 23 20 24 18 23 26 25 22 17 25 19 19 25 18 24 21 27 22 22 23
# }