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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] 16      16      0.002   0.5     1       64      <=0.001 <=0.001 0.002  
#> [10] 2       2       2       0.125   256     64      0.25    2       0.002  
#> [19] 128     8       0.005   64      2       0.25    64     
random_disk(25)
#> Class <disk>
#>  [1] 45 45 20 40 38  9 10 41 14 50 14 46 39 14 36 36 43 47 21 44 28 23 46 41 36
random_rsi(25)
#> Class <rsi>
#>  [1] I R I R I R I S S I I R S S R I R S S R R R R 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] 0.025   0.25    0.5     0.0625  0.25    0.025   0.005   32      0.025  
#> [10] 1       0.01    16      64      0.005   0.0625  128     1       0.01   
#> [19] 0.25    <=0.001 32      0.125   0.01    0.5     2      
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class <mic>
#>  [1] 2    8    >=64 0.25 >=64 2    >=64 2    2    4    8    32   32   0.5  0.5 
#> [16] 2    16   32   >=64 2    16   16   4    0.25 4   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class <mic>
#>  [1] 0.0625 2      0.5    0.125  4      0.0625 2      4      1      0.0625
#> [11] 0.125  0.0625 4      0.0625 1      4      2      4      0.5    0.0625
#> [21] 0.5    1      4      0.5    0.25  

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class <disk>
#>  [1] 41 26 42 45 34 45 19 24 36 47 20 50 30 33 25 50 28 45 20 34 48 32 33 38 34
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class <disk>
#>  [1] 17 14 13 17 13 17 14 12 15 17 11 11 17 15 12 13 15 15 11 13 12 17 15 12 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class <disk>
#>  [1] 22 20 25 25 25 20 23 20 18 17 16 22 15 15 18 25 25 21 15 23 24 26 19 21 17
# }