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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] 32     0.125  128    8      128    0.25   0.025  0.005  4      1     
#> [11] 0.25   64     2      0.005  32     0.005  8      128    0.01   0.002 
#> [21] 0.0625 128    0.025  1      0.025 
random_disk(25)
#> Class 'disk'
#>  [1] 42 47 14 38 23 43 26 25 47 42 19 43 37 27 11 28 48 21 28 43 35 44 26 31 30
random_rsi(25)
#> Class 'rsi'
#>  [1] R S R R S S R I S I S S I S R R I R S I S R I 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] 32    32    0.002 0.002 0.5   0.01  1     0.5   128   128   0.005 0.005
#> [13] 4     1     4     16    8     0.002 >=256 0.01  128   1     0.025 64   
#> [25] >=256
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 4    16   8    2    4    0.5  4    2    >=32 >=32 0.5  0.5  8    1    >=32
#> [16] 16   >=32 16   1    16   0.5  8    >=32 1    >=32
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1      1      2      0.5    2      1      >=4    2      0.125  1     
#> [11] 0.5    0.0625 0.0625 2      2      1      0.125  2      >=4    1     
#> [21] 0.125  1      0.5    1      0.0625

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 11 46 50 15 25 18 23 38 45 50 22 25 50 42 13 47  9 45 26 43 17 10 45 45 13
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 17 11 11 14 15 15 16 15 15 16 15 17 12 17 15 17 16 14 13 11 16 11 11 13 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 17 27 21 15 25 19 18 21 16 16 23 16 23 15 16 24 20 27 17 17 19 22 24 17 22
# }