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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] 0.005 1     0.001 0.025 64    1     16    8     8     64    0.002 4    
#> [13] 8     32    0.001 1     16    0.025 0.125 0.125 2     1     0.025 0.25 
#> [25] 8    
random_disk(25)
#> Class 'disk'
#>  [1] 37 44 22 48 24 19 46 27 48 14 15 42 48 37 44 10 45 14 38 37 42 16 50 45 46
random_rsi(25)
#> Class 'rsi'
#>  [1] I R I S R I I S I S R R S S S R R R I R I S S 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] 0.5     0.01    32      0.125   <=0.001 64      0.025   0.125   8      
#> [10] 8       1       0.25    8       0.25    1       1       16      4      
#> [19] 0.25    0.0625  0.025   0.025   0.5     0.025   64     
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 4      1      1      8      8      4      >=16   4      4      8     
#> [11] 8      <=0.25 2      4      >=16   <=0.25 0.5    2      1      8     
#> [21] 1      2      0.5    4      >=16  
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1     0.25  2     0.125 2     2     2     4     0.25  2     1     0.5  
#> [13] 4     8     2     8     0.5   1     8     4     4     0.25  2     1    
#> [25] >=16 

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 46 29 42 21 45 46 44 26 15 19 40 14 38 48 19 49 46 13 21 44 21 36 13 41 42
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 14 13 11 11 12 15 14 13 15 11 15 17 16 13 13 13 11 11 16 17 15 17 16 13 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 25 23 16 16 27 17 27 17 23 22 26 19 21 17 18 20 17 18 21 19 23 23 27 18 23
# }