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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] 0.01   256    2      2      256    1      0.001  64     0.01   2     
#> [11] 128    16     64     0.0625 16     128    0.0625 256    2      0.001 
#> [21] 128    0.01   8      64     64    
random_disk(25)
#> Class 'disk'
#>  [1] 22 38 41 24 23 27 40 16 21 48 10 47 30 44 20 25 29 30 33 19 12 45 19 24 33
random_rsi(25)
#> Class 'rsi'
#>  [1] S S I I S R S S S S S S R I R I I I R I R I 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] 8       2       0.125   32      4       <=0.001 0.0625  0.25    8      
#> [10] 0.002   32      8       <=0.001 <=0.001 4       0.025   0.005   16     
#> [19] 0.0625  0.002   0.005   0.025   64      0.025   0.002  
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 16    1     4     16    32    8     16    <=0.5 32    4     64    8    
#> [13] 64    <=0.5 1     8     1     1     <=0.5 1     16    <=0.5 8     2    
#> [25] 64   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.5     0.5     1       1       8       16      4       0.125   2      
#> [10] 2       1       1       8       <=0.025 16      4       16      1      
#> [19] 1       4       2       0.0625  0.125   <=0.025 1      

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 17 22 48 47 18 37 40 13 34 50 33 31 14 30 24 34 13 21 43 31 36 33 45 46 39
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 12 17 11 11 15 14 14 13 14 11 13 11 16 15 12 14 17 11 17 14 13 17 16 13 16
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 17 16 18 18 22 16 21 25 15 22 25 26 26 26 19 22 25 19 24 27 23 20 17 23 27
# }