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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] 1       0.5     4       1       <=0.001 0.125   16      256     0.01   
#> [10] 0.125   128     4       0.5     16      0.0625  4       0.005   0.01   
#> [19] <=0.001 8       64      64      4       0.005   2      
random_disk(25)
#> Class 'disk'
#>  [1] 47 28 48 25 23 10 14 47 37 13 14  7 23 15 21  7 11 41 41  7 40 30 47 26 11
random_rsi(25)
#> Class 'rsi'
#>  [1] S R R I S I R R R R R I I S I S S S R R R R 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] 0.125   1       0.0625  2       64      1       0.5     32      64     
#> [10] 0.025   16      0.01    0.005   0.5     0.025   0.0625  16      0.25   
#> [19] 0.005   <=0.001 0.01    0.002   32      4       2      
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] >=64 32   32   2    16   2    >=64 32   4    >=64 1    32   32   8    1   
#> [16] >=64 4    8    2    4    >=64 16   4    1    4   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 8      8      16     1      2      8      0.25   8      8      0.0625
#> [11] 1      0.0625 8      16     8      0.5    0.025  4      1      0.125 
#> [21] 4      0.025  2      0.5    8     

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 41 18 36 26 41 46 31  9  9 33 20 47 10 50 29 49 25 17 48  8 37 41 42 31 42
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 13 15 14 14 11 12 16 12 15 17 13 15 12 11 12 17 16 17 17 15 15 16 11 15 15
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 19 19 26 15 15 19 15 20 26 20 26 21 23 26 27 21 15 26 24 26 15 17 20 18 23
# }