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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] 2       1       0.025   0.002   64      0.005   1       <=0.001 0.125  
#> [10] 0.5     0.5     >=256   128     0.01    0.002   0.005   64      0.002  
#> [19] 1       32      <=0.001 >=256   32      0.5     0.5    
random_disk(25)
#> Class 'disk'
#>  [1] 40 50 26 30 33 38 49 50 44 43 44 44 23 48 16 23 10 16 44 22 15 45 40 22 42
random_rsi(25)
#> Class 'rsi'
#>  [1] I I S I R S R S R I I R S I R R R I I R I 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] 0.125  >=256  0.25   0.002  4      16     0.125  0.5    8      0.002 
#> [11] 0.01   16     0.0625 128    2      0.5    0.0625 8      2      0.025 
#> [21] 16     32     1      >=256  0.01  
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 8     16    16    4     4     1     16    2     1     1     8     <=0.5
#> [13] 32    2     1     <=0.5 1     4     4     1     2     2     8     <=0.5
#> [25] 8    
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 16      0.5     0.5     0.25    <=0.125 8       4       2       8      
#> [10] 2       4       8       2       1       8       4       0.25    2      
#> [19] <=0.125 <=0.125 0.25    8       0.25    0.5     <=0.125

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 44 47 50 45  9 46 47 39 36 41 45 22 49 50 28 50 28 13 16 44 17 10 15 44 23
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 11 14 11 11 14 16 16 11 11 12 14 15 13 14 16 12 17 15 11 12 15 14 11 16 12
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 23 25 15 17 25 18 22 20 24 17 15 24 22 23 15 16 27 19 24 21 25 15 15 23 23
# }