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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 drug, 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 drug 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] 256   128   1     1     256   1     4     0.025 1     0.125 0.002 256  
#> [13] 32    0.001 0.001 0.002 16    0.025 0.002 16    8     4     4     8    
#> [25] 0.001
random_disk(25)
#> Class 'disk'
#>  [1] 47 47 17 39 50 23 19 41 43 35 22 45 23 45 15 48 22 36 12 33 39 47  8 14 45
random_rsi(25)
#> Class 'rsi'
#>  [1] R S I I S R S S I S R R S S S I R I S S S I I 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] 0.25  0.01  0.005 8     1     128   0.125 32    0.5   0.01  0.005 64   
#> [13] 4     0.125 0.125 8     16    128   8     256   0.001 0.125 128   0.025
#> [25] 16   
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 32  4   0.5 4   2   16  1   8   1   0.5 4   0.5 4   32  16  32  0.5 8   8  
#> [20] 16  4   1   8   1   16 
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 16       8        16       16       8        16       8        <=0.0625
#>  [9] 1        <=0.0625 0.25     0.25     16       8        1        16      
#> [17] 0.125    <=0.0625 1        0.25     16       <=0.0625 2        1       
#> [25] 2       

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 46 39 20 40 25 36 19 24 44 49 13 35 23 12 25 18 30 26 48 37 50 35 15 35 42
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 13 13 14 16 14 12 12 12 13 11 11 17 16 15 13 14 11 11 15 15 13 13 13 13 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 21 16 23 24 22 19 15 24 17 24 16 19 15 17 15 26 15 26 21 22 15 20 20 23 18
# }