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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] 1     0.001 16    >=256 0.002 16    64    2     16    0.125 0.001 0.005
#> [13] 0.001 0.01  64    0.001 0.002 128   0.5   32    1     0.001 2     0.125
#> [25] 2    
random_disk(25)
#> Class 'disk'
#>  [1] 31 40 42  6 12 20 44 35 47 47 49 11 41 10  9  7 35 32 48 13 28 15 37 35 28
random_rsi(25)
#> Class 'rsi'
#>  [1] I S I S S I I I I R R I I R R R S S I R R I R R 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] 2       1       32      64      <=0.001 2       0.025   8       32     
#> [10] 32      0.002   0.005   2       0.025   0.005   0.025   128     32     
#> [19] 32      8       128     0.005   1       0.01    0.5    
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] <=0.5 >=16  1     4     >=16  >=16  2     >=16  8     1     <=0.5 2    
#> [13] >=16  4     2     2     8     2     2     4     1     8     >=16  1    
#> [25] 1    
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] <=0.025 <=0.025 0.5     0.125   <=0.025 <=0.025 16      0.5     0.125  
#> [10] 8       1       2       16      16      <=0.025 16      0.5     <=0.025
#> [19] 0.25    4       2       0.125   1       1       <=0.025

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 34 18 36 49 44 12 50 42 50 50 28 17 42 40 16 44 24 44 48 10 15 49 49 16 45
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 17 14 16 16 17 16 16 16 17 13 14 11 15 11 17 12 13 13 14 14 17 16 11 14 11
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 18 17 15 19 25 23 27 23 15 22 23 17 16 27 22 21 20 19 17 20 25 15 26 24 23
# }