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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] 0.0625 0.0625 0.0625 1      0.002  16     128    0.5    0.5    64    
#> [11] 256    4      0.25   0.0625 0.0625 8      0.01   0.25   0.0625 0.005 
#> [21] 32     0.125  0.25   128    0.5   
random_disk(25)
#> Class 'disk'
#>  [1] 50 28 50 33 47 18 38 25  7 49 43 34 26 27 45 40 42 17 22 42 41 25 31 45 29
random_rsi(25)
#> Class 'rsi'
#>  [1] S R I R R S S I S I S S S S I I I S S I S R I 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] 0.025   16      2       16      2       <=0.002 >=64    0.005   4      
#> [10] 8       0.25    0.025   0.0625  >=64    >=64    4       0.0625  16     
#> [19] 4       4       32      32      >=64    8       4      
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 2    4    1    8    4    2    4    >=16 2    >=16 1    8    2    >=16 8   
#> [16] 2    >=16 2    2    8    1    2    1    1    4   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.0625  0.0625  0.25    0.0625  8       2       <=0.025 2       >=16   
#> [10] 2       <=0.025 >=16    1       0.0625  0.125   1       1       1      
#> [19] 4       8       0.5     0.5     4       2       0.5    

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 41 24 50 49 30 49 31 45 21 40 45 31 17 31 49 31 12 40 50 19 26  8 41 24 47
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 15 16 16 12 12 16 17 11 11 12 14 12 11 12 15 17 16 17 17 12 17 13 17 15 16
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 22 15 20 16 22 26 25 25 19 27 17 22 20 19 19 23 16 16 18 19 19 21 19 15 25
# }