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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] 0.002  64     128    2      4      0.25   0.5    0.025  >=256  0.002 
#> [11] 0.0625 0.025  0.0625 32     4      0.025  0.0625 8      >=256  1     
#> [21] 0.002  0.025  0.001  0.01   0.0625
random_disk(25)
#> Class <disk>
#>  [1] 13 15 24 27 29 12 46 43 15 28 20 31 25 17 13 39 19 35 49 14 40 29 45 28 38
random_rsi(25)
#> Class <rsi>
#>  [1] S S S S I I S S R S I I I I I S R S I R I I I 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] 4      0.125  64     16     0.01   1      64     64     8      0.25  
#> [11] 1      64     64     1      0.025  0.001  0.025  0.25   1      64    
#> [21] 0.125  >=256  64     0.0625 >=256 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class <mic>
#>  [1] >=16 1    0.5  2    2    8    2    2    8    0.5  4    >=16 0.5  2    2   
#> [16] 2    1    2    2    >=16 >=16 4    0.5  2    4   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class <mic>
#>  [1] 0.25    1       0.25    16      4       16      8       8       0.5    
#> [10] 1       0.25    2       16      0.5     <=0.125 16      8       0.5    
#> [19] 1       <=0.125 0.25    1       0.5     8       0.25   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class <disk>
#>  [1] 25 41 23 39  8 23 20  8 41 21 18 47 18 40 23 36 42 23 30 45 23 43  8 39 45
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class <disk>
#>  [1] 15 14 11 16 16 16 14 12 12 17 17 12 13 15 11 13 15 14 17 15 13 16 11 12 11
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class <disk>
#>  [1] 18 23 17 23 22 27 15 21 15 17 25 25 22 25 21 15 18 19 17 18 18 17 19 17 18
# }