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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] 2      1      16     0.005  128    >=256  >=256  1      1      32    
#> [11] 32     0.002  0.01   0.125  0.0625 32     0.001  128    0.001  0.005 
#> [21] 0.25   1      2      32     4     
random_disk(25)
#> Class 'disk'
#>  [1] 34 41 31 43 38 34 43 31 11 44 49  9 45  6 36 43 48 43 34 47 16 35 41 40 20
random_rsi(25)
#> Class 'rsi'
#>  [1] R R I I S S I S I I S S S R I I R I S S I R R S S

# \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] <=0.002 16      0.5     0.005   4       0.0625  16      0.005   0.25   
#> [10] >=64    0.25    0.005   >=64    2       16      0.0625  0.25    4      
#> [19] >=64    0.5     32      16      4       1       8      
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 32   1    1    2    32   16   2    0.25 0.25 0.25 1    16   8    4    32  
#> [16] 2    2    16   >=64 0.25 >=64 0.25 16   8    1   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.25   0.25   16     0.25   2      2      0.25   8      0.125  0.0625
#> [11] 0.0625 8      0.5    2      2      0.5    0.125  4      1      0.0625
#> [21] 0.025  0.025  8      0.025  16    

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 49 12 30 41 48 26 42 39 50 38 47 25 46 30 45 40 18 50 10 41 16 40 28 15 43
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 17 11 14 14 12 17 17 14 12 11 15 16 15 16 11 17 12 11 13 17 12 12 14 15 15
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 25 17 21 16 18 24 16 17 18 21 20 22 19 19 19 26 24 17 26 15 24 23 24 20 23
# }