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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] 0.5   0.01  32    1     8     4     0.001 0.01  0.001 >=256 0.125 0.002
#> [13] 128   0.002 0.125 16    >=256 0.5   0.01  0.025 0.5   16    >=256 8    
#> [25] 4    
random_disk(25)
#> Class 'disk'
#>  [1] 11 37 41  7 16 27 11  6 46 21  9 47  6 17 37 39 40 39 41 12 25 50 42 29 14
random_rsi(25)
#> Class 'rsi'
#>  [1] S I S I I R S R S S I I R I R I R S S S S S I I R

# \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   4       0.01    0.25    0.005   0.01    0.25    0.01    >=128  
#> [10] 1       <=0.001 2       32      2       8       4       >=128   0.025  
#> [19] 0.5     32      8       >=128   4       64      4      
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 32   8    >=64 32   4    >=64 16   >=64 2    32   >=64 >=64 4    32   16  
#> [16] >=64 8    4    4    8    32   >=64 2    16   16  
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.125    8        8        16       8        8        4        0.25    
#>  [9] <=0.0625 16       16       8        16       0.5      8        16      
#> [17] 4        <=0.0625 1        1        1        0.5      <=0.0625 0.5     
#> [25] 0.5     

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 29 24 16 48 36 18 44 16  9 28 50 15 50 35 23 12 11 19 35 50 35 35 33 35 46
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 14 14 12 14 14 17 16 17 12 15 14 12 14 11 15 12 15 12 11 14 16 15 16 13 13
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 16 20 18 23 20 22 24 23 18 27 23 27 26 26 17 21 21 19 23 17 26 25 18 25 18
# }