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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] 0.0625  0.01    4       64      0.005   32      2       0.01    <=0.001
#> [10] 8       128     64      2       8       0.002   0.01    0.0625  0.25   
#> [19] 64      0.01    16      0.25    0.0625  >=256   <=0.001
random_disk(25)
#> Class 'disk'
#>  [1] 29 36 20 49 33 28 28 23 39 22 10 47 23 49 47 42 30 47 22 37 47  9 19 45 37
random_rsi(25)
#> Class 'rsi'
#>  [1] I S I I I S R R S I R I I R I R S R S R S I R R 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] 0.005   32      0.025   0.005   0.005   4       2       0.005   0.01   
#> [10] 0.5     2       0.25    0.025   2       <=0.001 0.5     8       4      
#> [19] 8       0.025   8       0.025   8       2       0.0625 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 16   16   4    32   0.5  >=64 8    1    1    >=64 0.5  32   >=64 0.5  >=64
#> [16] 0.5  32   16   4    1    32   >=64 0.5  0.5  1   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] >=8     2       1       >=8     2       2       >=8     1       0.5    
#> [10] 1       1       2       0.5     2       0.5     0.5     0.5     >=8    
#> [19] 0.25    <=0.125 1       <=0.125 0.25    0.5     2      

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 42 24 15 28 24 44 34 35 49 40 50 26 49 10 50 42 24 43 18 14 47 41 50 33 29
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 14 15 15 12 17 12 11 16 13 12 14 12 14 16 15 17 11 13 13 13 13 12 15 11 13
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 23 16 24 19 17 23 16 21 15 19 21 22 16 23 26 15 25 22 20 26 26 16 22 26 23
# }