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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] 4       64      4       32      2       0.002   32      0.125   0.005  
#> [10] 256     0.25    16      0.01    8       16      2       0.002   0.25   
#> [19] 128     0.0625  1       8       <=0.001 0.002   256    
random_disk(25)
#> Class 'disk'
#>  [1]  8 13 12 37 22 21 18 18 43 46 34 39 50  7 34 40 40 43 27 50 38 17 20 43 20
random_rsi(25)
#> Class 'rsi'
#>  [1] I I R S I I R I S I S S R I I I I R R S I R S 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] 0.0625 0.125  16     0.0625 4      128    0.005  2      1      2     
#> [11] 0.125  128    8      0.125  1      16     1      >=256  0.01   8     
#> [21] 2      0.01   64     32     64    
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] >=32 16   8    1    2    1    1    8    16   2    4    2    4    8    2   
#> [16] 8    16   1    >=32 8    2    1    16   8    2   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] >=4   1     0.25  0.25  1     1     >=4   0.125 2     1     0.25  0.25 
#> [13] 1     0.125 1     0.5   1     2     2     >=4   1     0.5   1     0.5  
#> [25] >=4  

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 22 13 25 42 48 40 14 25 25 50 31 21 41 40 44 18 49 50 40 25 25 10 49 12 12
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 11 12 16 12 12 12 12 17 13 17 11 12 13 17 13 14 13 12 16 14 15 16 17 17 17
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 18 25 20 19 17 27 25 16 22 22 25 23 16 16 27 25 19 18 21 25 22 18 20 18 19
# }