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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] 0.005   0.002   0.025   128     1       0.002   0.0625  0.25    8      
#> [10] 64      2       0.5     0.0625  128     128     >=256   32      0.01   
#> [19] 4       0.002   32      8       8       8       <=0.001
random_disk(25)
#> Class <disk>
#>  [1] 35 28 42 31  7 47 45 37 17 44 17 26 25 47 40 22 10 32 36 50 50 24 46 40 10
random_rsi(25)
#> Class <rsi>
#>  [1] R I S R I R R S S S S I S I I R I I I S I I I 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] 0.01   0.0625 0.25   0.001  8      0.0625 32     8      0.001  1     
#> [11] 32     >=64   >=64   8      32     0.0625 0.125  0.5    0.25   0.002 
#> [21] 1      1      0.5    16     0.0625
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class <mic>
#>  [1] 64 1  8  16 16 16 8  64 16 32 1  64 8  16 2  2  32 32 32 4  32 1  8  2  4 
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class <mic>
#>  [1] 0.0625 1      4      2      1      0.0625 0.025  0.025  0.125  2     
#> [11] 4      0.025  0.25   0.25   0.025  0.25   1      2      0.25   0.5   
#> [21] 4      1      1      0.025  4     

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class <disk>
#>  [1]  8 24 37 27 23 31 14  9 18 27 42 22 44 41 22 24 22 42 25 49 27 30 30  8 46
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class <disk>
#>  [1] 12 13 14 12 12 13 14 12 16 13 14 15 11 16 17 12 12 17 11 13 15 11 13 17 16
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class <disk>
#>  [1] 24 26 22 26 25 20 24 22 26 20 19 20 27 19 15 15 17 15 22 27 18 15 27 16 25
# }