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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] 0.125 0.01  2     0.5   8     1     2     2     0.5   0.5   0.001 4    
#> [13] 0.002 0.25  1     0.005 64    64    0.5   4     128   0.002 0.01  64   
#> [25] 32   
random_disk(25)
#> Class 'disk'
#>  [1] 21 40 49 45 11 23 49 42 12  7 44 50 23 47 41 27 47 50 33 18 18 38 21 40 12
random_rsi(25)
#> Class 'rsi'
#>  [1] R R I R R I I R I S I R S S R S I I R S S 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] 16    0.025 128   0.5   0.002 4     0.125 0.125 0.5   8     0.01  0.001
#> [13] 8     2     64    0.5   0.5   0.025 0.01  8     0.125 0.5   0.5   2    
#> [25] 4    
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 4  16 2  2  2  8  8  2  4  1  2  1  1  4  1  1  16 8  16 4  2  8  1  2  4 
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 4       0.25    0.125   0.0625  0.125   0.125   4       1       2      
#> [10] 0.25    0.125   0.5     <=0.025 0.25    2       <=0.025 0.125   4      
#> [19] 0.0625  4       0.25    2       <=0.025 0.25    0.25   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1]  8 31 45 32 40 26 48 46 43 10 41 45 33 23 41 25 26 18 16 16 49 26 14 21 10
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 13 15 13 13 17 14 11 15 11 12 15 15 15 12 14 13 16 16 15 14 15 16 16 16 16
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 19 22 23 20 25 24 26 24 27 18 22 21 22 26 25 24 15 15 22 20 22 22 20 25 21
# }