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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] 2      0.0625 0.005  8      2      16     16     256    0.5    32    
#> [11] 0.25   0.005  0.125  0.01   8      0.002  4      256    0.5    8     
#> [21] 128    2      16     64     0.025 
random_disk(25)
#> Class 'disk'
#>  [1] 10 46 14 41 48 36 46 11  6 23 45 46 50 17 45 32 19 18 49 43 40 47 49 44 48
random_rsi(25)
#> Class 'rsi'
#>  [1] S I I S I I I I R R I I I R I S R S I S I I R 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] 1     0.001 0.25  0.005 0.002 0.005 4     1     0.01  4     256   0.25 
#> [13] 16    128   2     0.25  0.001 8     0.25  8     0.005 256   0.5   1    
#> [25] 8    
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] >=16 2    4    4    2    >=16 1    4    >=16 8    1    8    2    >=16 >=16
#> [16] 2    4    8    2    2    >=16 4    4    4    8   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] <=0.025 0.5     0.25    >=16    <=0.025 <=0.025 0.5     >=16    <=0.025
#> [10] <=0.025 <=0.025 0.125   0.5     4       2       >=16    8       0.5    
#> [19] 0.25    1       1       0.25    0.25    0.25    0.25   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 43 40 37 45 48 39 40  9 41 36 15 22 20 50 30 12 12 45 34 40 24 41 35 41 15
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 13 15 14 17 17 12 16 11 13 12 17 13 11 12 17 11 12 14 14 13 15 16 13 16 12
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 18 17 26 27 27 15 20 26 20 23 27 23 22 21 17 16 18 23 20 20 19 19 23 18 23
# }