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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] <=0.001 32      0.005   0.25    0.5     128     8       0.0625  2      
#> [10] 0.0625  64      8       4       0.025   0.25    32      0.5     <=0.001
#> [19] 256     0.0625  4       0.01    0.01    0.025   1      
random_disk(25)
#> Class 'disk'
#>  [1] 29 20 39 43 38 39 11 22 49 47 44 14 10 36  7 14 44  7 24  6 32 47 28  7 27
random_rsi(25)
#> Class 'rsi'
#>  [1] I S I R R R R S I R S S I R I I S S R I R S 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     16     0.025  4      1      4      64     0.005  2      64    
#> [11] 2      0.002  0.025  0.001  0.0625 64     0.5    8      0.025  8     
#> [21] 2      0.01   16     4      0.025 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 4      2      0.5    1      0.5    <=0.25 <=0.25 2      0.5    2     
#> [11] 4      <=0.25 4      >=16   0.5    0.5    0.5    2      >=16   2     
#> [21] <=0.25 <=0.25 <=0.25 >=16   2     
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1      0.25   0.5    0.125  0.0625 0.125  2      >=4    0.5    0.0625
#> [11] >=4    >=4    0.025  0.025  0.025  2      0.0625 0.025  0.125  0.025 
#> [21] 1      0.025  0.125  0.25   0.0625

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 43 40 12 49 41 42 44 39 47 30 11 33  9 45 36 30 50 19 50 33 40 18 50 45 38
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 14 12 14 17 11 14 12 12 17 11 13 16 16 11 17 15 15 13 14 11 13 16 12 14 12
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 26 25 22 25 21 25 20 16 21 17 26 24 24 22 24 21 17 16 15 25 20 22 18 16 27
# }