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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] 0.01    0.025   0.025   32      128     0.125   <=0.002 0.0625  0.01   
#> [10] 0.0625  16      0.005   0.025   >=256   4       16      0.005   0.5    
#> [19] 0.025   128     128     <=0.002 0.005   <=0.002 0.5    
random_disk(25)
#> Class 'disk'
#>  [1] 23 27 46 28 15  9 37 30 20 26 29 16 40 45 16 36 12 50 15 50 21  6 26 48 49
random_rsi(25)
#> Class 'rsi'
#>  [1] R R R R S R S R S R S I R I I I R S R R S S S 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] 0.002  0.5    4      1      1      0.002  0.0625 0.01   0.025  4     
#> [11] 0.025  0.0625 0.25   0.125  0.025  0.002  0.002  0.01   0.01   0.001 
#> [21] 0.0625 0.002  8      64     0.125 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 8     1     4     1     32    32    4     16    <=0.5 8     16    2    
#> [13] <=0.5 1     2     2     1     1     1     1     16    1     2     8    
#> [25] 1    
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.5    1      1      0.0625 0.125  0.5    0.25   4      2      1     
#> [11] 0.5    0.25   1      0.5    4      0.25   0.0625 0.25   1      0.25  
#> [21] 4      1      0.25   1      2     

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 31 41 17 26 46 32  8 44 42 45 41 43 43 19 13 30 50 40 28 39 28 40  8 17 20
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 16 17 14 12 12 17 12 14 14 13 12 14 12 16 16 12 12 13 16 14 13 16 11 15 13
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 22 27 18 27 22 23 25 19 27 22 23 22 16 20 16 17 27 17 27 23 19 19 18 18 15
# }