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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] 0.025  64     0.005  0.0625 32     0.001  0.5    0.002  4      4     
#> [11] 0.5    0.5    1      0.25   4      8      16     128    128    >=256 
#> [21] 0.025  0.025  2      0.25   128   
random_disk(25)
#> Class 'disk'
#>  [1] 41 19 42 25 27 35 32 49  6 50 36 32 43 44 36 43 11 41 38 25 44 25 47 29 45
random_rsi(25)
#> Class 'rsi'
#>  [1] R I R I S S S I I I I R S S S S R S S R R R 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] 0.125  0.0625 0.5    0.25   0.002  0.001  0.125  0.25   1      4     
#> [11] 0.125  0.005  16     16     0.0625 0.125  32     2      8      32    
#> [21] 0.25   0.25   0.01   0.0625 16    
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 2   <=1 4   4   2   8   8   2   8   4   2   4   8   2   4   <=1 4   16  16 
#> [20] 32  4   2   2   <=1 16 
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1     1     >=8   0.5   0.5   0.25  >=8   4     4     0.125 0.125 1    
#> [13] >=8   >=8   1     1     1     1     >=8   1     0.5   >=8   0.125 4    
#> [25] 0.5  

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 25 22 41 22 49 44 48 36 14 33 41 48 11 11 12 39 14 47 18 16 28 38 16 26 47
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 14 12 17 11 12 11 11 13 13 12 16 12 11 16 14 13 13 16 14 14 14 11 17 17 12
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 27 20 26 18 19 16 23 18 26 20 16 15 16 20 17 19 16 23 16 22 15 20 18 27 23
# }