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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] 0.0625 0.001  4      1      0.125  8      0.002  1      0.0625 0.5   
#> [11] 1      1      0.001  1      16     0.005  0.005  256    1      16    
#> [21] 1      0.0625 0.005  0.0625 0.25  
random_disk(25)
#> Class 'disk'
#>  [1] 40 10 46  9  7 28 11 25 18 37 33 20 46 26 47 23 41 32 38 37 40 26 28 23 42
random_rsi(25)
#> Class 'rsi'
#>  [1] R I S R I I S S S I I R I S S S I S R I R I R 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] 4      4      0.01   64     0.01   8      0.001  0.025  4      0.005 
#> [11] 32     32     0.025  2      0.025  64     0.0625 0.001  0.125  0.025 
#> [21] 256    0.0625 256    256    8     
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 0.25 4    >=16 2    1    4    4    0.25 0.25 0.25 4    1    8    0.5  0.25
#> [16] 8    4    2    0.5  1    0.5  8    0.5  >=16 8   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.5    0.5    0.5    1      0.25   2      0.0625 0.125  1      0.0625
#> [11] 0.5    0.125  0.125  2      0.125  0.025  0.25   >=4    0.0625 0.0625
#> [21] 0.0625 0.25   0.5    2      2     

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 36 27 44 26 43 42 49 42 46 41 41 12 32 35 20 21  8 43  8 45 50 47 45 50 37
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 15 16 14 14 14 14 11 17 11 14 13 16 15 15 17 17 13 17 11 14 14 12 12 12 11
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 16 27 27 17 18 15 17 25 15 22 23 22 26 24 15 15 16 24 16 19 20 26 25 21 15
# }