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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] 16      0.025   >=256   >=256   4       64      0.25    1       0.01   
#> [10] 0.005   0.5     0.0625  <=0.001 >=256   0.0625  4       16      >=256  
#> [19] 16      <=0.001 32      32      0.005   32      0.025  
random_disk(25)
#> Class 'disk'
#>  [1] 21 47 36 47 30 34 46 18 26 41 27 14 21 44 41 44 24 47 27 46 49 43 21  6 15
random_rsi(25)
#> Class 'rsi'
#>  [1] R S R R S I R I R R S I R R S R R S S S S I S 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] 16      8       0.125   0.01    2       32      <=0.002 0.5     >=64   
#> [10] 32      8       0.01    16      8       0.5     0.025   0.01    0.0625 
#> [19] 0.5     0.005   0.125   32      16      8       0.125  
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] >=64  4     2     >=64  1     32    8     <=0.5 4     16    8     16   
#> [13] >=64  1     32    32    1     2     1     1     2     16    8     <=0.5
#> [25] <=0.5
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.5     2       2       0.5     0.25    8       2       2       0.5    
#> [10] 0.25    0.25    4       2       2       8       1       8       <=0.125
#> [19] 0.25    8       8       8       8       4       2      

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 30 21  9  8 48 42 24 21 48 40 39 23 25 47 27 33 48 11 28 13 48 48 12 15 19
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 12 13 16 13 17 11 11 17 16 16 17 13 13 11 17 16 17 14 16 12 11 16 12 17 11
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 17 27 18 21 19 18 23 20 27 27 16 18 23 26 23 16 22 27 16 22 16 23 24 17 16
# }