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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] 16      16      0.125   0.0625  256     0.125   256     <=0.001 0.025  
#> [10] 0.005   16      0.01    0.5     0.002   128     0.0625  0.025   0.5    
#> [19] 0.01    0.125   128     1       128     0.005   4      
random_disk(25)
#> Class 'disk'
#>  [1] 49 27 35 49 28 36 14 43 14 22 36 45 40 39 42 16 25 31 44 21 43 28 17 21 47
random_rsi(25)
#> Class 'rsi'
#>  [1] S S S S I R R R R S R I R I S R I S S R R I 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] 0.0625  0.005   1       0.0625  4       0.5     2       8       2      
#> [10] >=64    >=64    1       1       4       16      2       <=0.001 0.005  
#> [19] 0.125   0.025   0.002   8       0.5     0.125   1      
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 16    16    2     2     8     >=32  4     <=0.5 <=0.5 16    <=0.5 8    
#> [13] 2     2     1     2     1     <=0.5 2     2     1     1     16    4    
#> [25] <=0.5
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1      8      16     4      0.25   1      4      2      0.125  4     
#> [11] 2      8      0.0625 0.0625 16     8      0.0625 1      1      0.25  
#> [21] 0.5    0.25   0.25   0.25   1     

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 26 31  9 31 44 38 45 43 14 30 14 46 25 17 36 30 34 25 11 29 29 12 23 21 44
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 17 13 13 13 17 13 17 14 15 11 12 15 16 16 11 12 14 11 11 11 17 15 16 11 11
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 27 19 22 23 16 22 27 21 26 19 16 16 18 26 25 23 19 16 17 27 26 16 23 16 20
# }