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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 agent, 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 agent 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] 128   32    128   0.01  0.005 0.125 32    256   64    256   0.001 0.001
#> [13] 4     0.025 32    1     0.5   32    1     0.001 0.5   0.5   0.005 0.001
#> [25] 8    
random_disk(25)
#> Class 'disk'
#>  [1] 18 41 42 38 50 47 45 30 44  7 22 24 47 42 41  7 40 39  6 35  9 23  9 48 45
random_rsi(25)
#> Class 'rsi'
#>  [1] I R I S S I R I I R S R S I S I R S S I R S R R 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] 16     0.025  16     0.0625 2      4      4      4      0.001  0.002 
#> [11] 0.001  64     0.005  0.005  0.025  32     8      0.001  0.25   0.005 
#> [21] 2      32     16     0.005  0.5   
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 0.5  0.5  2    4    4    0.5  2    16   8    >=64 32   0.5  4    2    >=64
#> [16] 0.5  4    8    32   >=64 32   4    0.5  16   32  
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.25 8    8    4    8    8    4    4    1    1    0.5  2    4    2    0.25
#> [16] 0.25 0.5  8    4    2    0.5  4    1    4    8   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 17 43 50 49 46 32 47 35 39 31 14 46 50 37 15 39 40 33 24 26 40 44 31 31 46
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 16 12 11 15 13 16 16 12 17 12 12 16 16 15 16 11 14 15 11 15 12 17 12 12 16
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 24 19 21 27 21 25 22 18 25 17 25 20 27 25 16 17 16 24 18 17 20 17 18 20 25
# }