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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] 128    2      0.001  0.01   0.125  0.25   0.125  4      0.125  64    
#> [11] >=256  0.0625 2      32     16     0.01   0.001  64     1      32    
#> [21] 1      >=256  0.5    64     0.5   
random_disk(25)
#> Class 'disk'
#>  [1] 18 44 40 45 12 48 17 46 17 35 12  9 26 16 42 15 40 44 25 32 49 42 27 40 15
random_rsi(25)
#> Class 'rsi'
#>  [1] R R I I S I I R S I R S S I S R R I R I I S I S 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] 64      >=256   2       0.01    0.025   0.0625  <=0.001 0.125   16     
#> [10] 0.005   0.01    <=0.001 <=0.001 0.5     <=0.001 8       0.125   <=0.001
#> [19] 64      0.005   <=0.001 0.005   <=0.001 0.5     0.125  
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 2  1  64 8  4  8  8  8  1  64 1  1  8  4  64 2  8  2  2  1  64 1  2  4  1 
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1       <=0.025 0.125   0.25    0.25    2       0.125   >=8     <=0.025
#> [10] 0.25    >=8     2       >=8     1       2       >=8     4       0.5    
#> [19] 1       0.25    2       0.0625  >=8     0.25    1      

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 32 45 50 29 50 27 46 34 15 47  9 34 47 22 36 34 23 34 33 13 46 11 32  9 24
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 14 16 15 13 12 14 12 14 14 12 16 12 12 15 16 12 12 12 16 17 13 17 11 16 15
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 15 19 27 21 22 26 20 24 24 23 22 26 19 18 15 19 22 26 26 26 25 21 20 17 23
# }