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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] 0.125   0.025   0.0625  8       4       >=64    2       0.025   0.0625 
#> [10] 0.0625  4       <=0.002 32      0.025   0.01    0.125   8       >=64   
#> [19] 0.0625  0.01    <=0.002 0.005   1       0.125   <=0.002
random_disk(25)
#> Class 'disk'
#>  [1] 18  6 18  6 12 41 34 46 48 22  6  8 35 45 35 39 23 11 12 42 26 35 39 40 16
random_rsi(25)
#> Class 'rsi'
#>  [1] S S R S S S S I R R R S R S I R S R I S R R R S I

# \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] 2       4       32      0.125   128     0.25    0.025   <=0.001 0.25   
#> [10] 1       0.005   <=0.001 2       4       0.005   1       0.005   32     
#> [19] 8       64      128     4       1       128     4      
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 4    2    4    1    32   4    0.5  2    16   0.25 >=64 1    0.5  2    32  
#> [16] 1    >=64 32   >=64 16   1    0.5  8    8    0.5 
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1     0.025 0.125 0.5   1     8     0.25  0.025 4     0.25  0.125 4    
#> [13] 1     0.5   0.125 2     8     4     0.125 0.5   8     0.25  0.025 2    
#> [25] 2    

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 40 44 38 42 13 50 38 49 45 46 32 45 17 50 31 27 43 40 19 47 45 22 19 26 41
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 17 16 13 13 14 12 12 13 12 12 11 14 11 13 11 14 15 17 11 14 12 13 13 14 12
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 15 23 17 20 23 15 16 15 15 21 22 17 22 23 22 23 17 15 16 24 18 24 26 23 18
# }