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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] 2      0.002  0.5    0.5    0.125  0.25   32     0.0625 0.002  0.025 
#> [11] 16     0.125  8      0.002  4      8      0.0625 8      8      1     
#> [21] 0.001  0.002  0.01   4      64    
random_disk(25)
#> Class 'disk'
#>  [1] 24 44 41 19 45 23 10 41 41 41 44 35 33 48 10 19 33 28 22 17 41 32 49 45 10
random_rsi(25)
#> Class 'rsi'
#>  [1] S I R S S S I I R I S S I I R I R S S R I I R R S

# \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] 0.01   32     8      2      0.005  0.002  0.005  0.025  1      0.5   
#> [11] 0.125  1      0.01   1      4      0.0625 0.025  0.5    0.125  >=64  
#> [21] 16     0.5    1      4      0.001 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] <=1 <=1 <=1 4   4   16  16  4   <=1 8   4   16  <=1 2   2   16  8   16  2  
#> [20] 4   2   4   4   4   4  
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 8       >=16    0.125   0.0625  1       0.0625  0.125   2       >=16   
#> [10] 2       <=0.025 1       2       8       1       0.25    0.0625  >=16   
#> [19] 8       1       0.5     >=16    0.125   >=16    8      

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 28 26 38 49 10 27 11 35 47 12  8 45 33 18  8 44 43 21 23 28 48 47 47 24 11
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 13 16 16 15 14 13 12 15 12 16 14 15 17 11 13 13 14 17 13 14 17 12 14 11 17
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 17 21 25 24 22 27 15 21 15 26 16 27 26 27 20 17 15 18 17 19 16 20 16 17 19
# }