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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] 0.0625  0.125   0.005   0.01    0.125   1       0.5     0.005   8      
#> [10] 0.002   0.25    <=0.001 8       128     8       1       0.002   0.025  
#> [19] 0.002   0.0625  >=256   128     16      0.125   4      
random_disk(25)
#> Class 'disk'
#>  [1] 42 13 15 41 49 27 45 44 25 40 42 27 12 47 33 46 43 47  8 29 50 30 46 10 47
random_rsi(25)
#> Class 'rsi'
#>  [1] R I S I S S S R I S R I S R I S S S R I I R I 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] 128     <=0.001 128     0.002   32      0.025   0.5     2       16     
#> [10] 0.002   0.25    0.005   16      32      8       0.0625  64      0.5    
#> [19] 0.002   4       0.125   64      16      0.01    0.002  
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 0.5  16   2    16   4    16   0.5  2    0.25 2    8    4    2    4    0.5 
#> [16] 4    0.25 0.25 1    1    1    4    2    16   4   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] <=0.025 1       0.5     0.5     0.0625  0.0625  <=0.025 1       0.5    
#> [10] <=0.025 2       2       0.5     4       <=0.025 1       4       0.25   
#> [19] 0.25    0.0625  4       0.125   2       0.125   0.0625 

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 17 10 48 50  9 49 47 33 25 47 24 45 18 10 46 20 48 10 36 48 38 40 28 17 50
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 17 13 12 11 16 15 15 16 17 14 14 15 15 16 17 15 15 14 13 13 16 11 17 15 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 16 17 20 17 20 16 26 19 20 16 18 22 27 24 16 24 26 26 18 20 18 17 16 15 23
# }