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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] 0.025   <=0.001 1       16      2       0.025   0.005   0.25    <=0.001
#> [10] 0.002   8       0.002   <=0.001 0.025   256     <=0.001 8       0.25   
#> [19] 16      4       1       1       0.25    0.005   0.0625 
random_disk(25)
#> Class 'disk'
#>  [1] 31 45 50 48 45 18 18 19  9 37 23 45 35 18 34 47 36 31 12 21  7 42 30  9 40
random_rsi(25)
#> Class 'rsi'
#>  [1] I I I I I R R S S I R R I I R R R I S S R I I S S

# \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] 0.01    0.25    <=0.002 8       0.0625  0.125   128     4       4      
#> [10] 2       4       0.005   16      <=0.002 1       0.005   0.25    0.5    
#> [19] 0.01    0.025   2       0.125   64      <=0.002 <=0.002
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 2     8     1     16    2     8     16    <=0.5 2     1     2     1    
#> [13] <=0.5 1     8     <=0.5 1     16    4     16    <=0.5 4     16    1    
#> [25] 8    
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.0625  2       4       0.5     0.125   0.0625  <=0.025 2       0.25   
#> [10] <=0.025 2       0.5     1       4       0.25    <=0.025 0.25    <=0.025
#> [19] 2       0.125   0.0625  <=0.025 2       1       0.25   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 22 12 42 49 11 15 16 24 16 42 48 15 48 13 45 47 45 39 48 36 11 40 50 42 36
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 17 13 11 16 14 15 11 13 14 12 13 11 12 14 13 11 16 15 12 15 15 13 12 14 16
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 19 16 27 26 25 23 23 20 19 15 22 23 21 22 15 17 24 21 19 21 27 25 16 15 20
# }