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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 drug, 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 drug 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] 4     16    1     1     128   0.125 0.5   32    8     2     0.005 >=256
#> [13] 0.005 32    0.025 >=256 >=256 16    64    2     0.001 16    16    0.025
#> [25] >=256
random_disk(25)
#> Class 'disk'
#>  [1] 26 29 39 47 43 15 17 40 11 45 41 48 28 25 46 49 36 44 46 13 11 26 29 47 36
random_rsi(25)
#> Class 'rsi'
#>  [1] R S I I R S I S R R I R R I R S R S R R R S I R 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] 4      16     4      0.001  >=256  0.25   0.25   8      0.001  0.002 
#> [11] 2      2      1      0.25   0.25   64     0.125  8      0.0625 64    
#> [21] 4      0.5    0.5    0.01   0.5   
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 4     <=0.5 >=32  8     2     16    <=0.5 8     16    1     4     1    
#> [13] 8     <=0.5 1     8     8     1     4     <=0.5 8     2     2     2    
#> [25] 2    
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 4      0.0625 0.5    1      0.25   0.25   4      0.0625 2      4     
#> [11] 0.0625 0.5    0.5    4      0.125  0.0625 1      0.25   1      0.5   
#> [21] 0.25   1      0.125  1      1     

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 12 47 48 45 12 36 36 14 49 39 42 38 45 47 47 42 46 50 25 50  9 42 50 41 28
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 15 12 11 15 16 17 12 11 14 11 11 15 12 17 11 13 12 17 16 14 15 17 16 12 11
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 25 18 23 25 25 21 19 15 24 20 19 24 20 18 17 26 20 17 21 16 15 25 27 25 22
# }