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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] 2       0.01    64      0.5     <=0.001 64      4       8       64     
#> [10] 0.5     16      0.25    0.005   0.125   0.005   <=0.001 4       0.25   
#> [19] 0.002   0.01    0.125   4       64      0.002   >=128  
random_disk(25)
#> Class 'disk'
#>  [1] 19 48 50 43 37  6 35 42 37 19 33 47 50 45 48 44 47 26 15 23 42 15 38 30 38
random_rsi(25)
#> Class 'rsi'
#>  [1] I R S I I S S I S R R S I S I I R R I S S R S I 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] 0.005 0.5   1     0.005 2     0.01  16    0.25  128   0.002 8     0.025
#> [13] 32    16    16    0.001 4     0.005 16    0.125 0.25  8     0.5   64   
#> [25] 32   
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 16   <=1  2    16   <=1  >=64 <=1  32   4    <=1  2    16   2    2    >=64
#> [16] >=64 2    8    32   >=64 8    8    4    <=1  16  
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1       8       2       <=0.125 0.5     <=0.125 0.5     1       0.5    
#> [10] 0.5     8       <=0.125 2       1       2       0.25    1       2      
#> [19] 2       2       1       0.25    0.5     8       0.25   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 14 49 37 14 42 20 48 28 49 28 47 21 35 34 35 36 49 31 18 39 25 50 23 32 26
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 11 11 14 12 16 13 15 11 12 14 14 13 13 12 16 14 11 12 11 11 13 15 17 13 16
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 22 23 20 17 18 15 20 26 22 26 16 23 23 27 20 18 18 17 25 27 27 15 19 19 19
# }