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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] 8     >=128 0.025 2     4     0.01  1     1     0.125 0.002 0.005 0.005
#> [13] 16    0.001 0.025 2     0.25  0.5   0.025 1     4     32    0.125 8    
#> [25] 64   
random_disk(25)
#> Class 'disk'
#>  [1] 44  7 42 29 31  9 22 11 14 45 33  7 45 44  6 46  6 14 48  7 41 34 44  6 43
random_rsi(25)
#> Class 'rsi'
#>  [1] S S S R I S R S I R R I I R R S I R S R R I I S 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       0.25    2       0.5     256     2       1       16      0.0625 
#> [10] 0.005   <=0.001 32      16      256     4       0.005   0.0625  2      
#> [19] 4       128     1       8       0.0625  0.125   0.0625 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 0.5 4   16  0.5 0.5 1   16  16  2   32  16  4   0.5 1   1   1   4   16  1  
#> [20] 16  8   8   0.5 16  8  
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] >=16    >=16    2       <=0.125 >=16    2       1       <=0.125 1      
#> [10] 8       4       4       0.25    0.5     2       2       4       8      
#> [19] 0.25    8       1       8       2       0.25    0.25   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 38 45 43 20 45 28 12 21 15 46 35 46 45 25 18 16 47 40 35 36 14 21 24 25  8
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 15 13 16 17 17 13 15 17 11 17 16 15 11 13 15 11 11 13 13 11 13 11 15 16 17
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 24 24 17 16 26 16 22 20 26 19 24 15 22 21 23 15 17 21 22 16 21 24 20 17 18
# }