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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] 64      0.01    2       32      1       0.25    128     64      0.0625 
#> [10] 1       8       32      8       8       0.002   2       256     0.025  
#> [19] 0.125   8       0.5     0.01    32      <=0.001 4      
random_disk(25)
#> Class 'disk'
#>  [1] 36 17  9 45 47 30 42 42 19 11 44 33 18 48  9 44 19 45 31 48 31  9 12 14 34
random_rsi(25)
#> Class 'rsi'
#>  [1] S S R S I S S R R R R R R S I I S S I S R R R R 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] 0.025   1       0.01    0.01    0.5     <=0.001 0.25    2       0.5    
#> [10] 0.025   32      0.002   8       4       16      >=128   1       1      
#> [19] 0.005   0.002   32      0.5     1       0.01    8      
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 32     0.5    16     <=0.25 8      4      8      16     >=64   2     
#> [11] >=64   4      >=64   32     <=0.25 16     4      1      >=64   32    
#> [21] <=0.25 1      32     32     32    
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1      0.5    1      4      8      1      0.5    8      0.125  4     
#> [11] 0.25   0.5    1      0.0625 0.0625 4      1      8      1      0.125 
#> [21] 0.125  0.5    1      0.125  8     

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 41 50 34 42 44 13 43 44 48 46 19 13 36 18  9 43 43 27 29 43 36 45 24 48 41
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 12 12 16 11 11 12 14 15 15 13 13 16 15 12 14 11 14 12 11 16 12 17 14 13 15
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 27 16 15 27 22 27 25 20 18 22 18 18 16 24 20 27 19 19 17 22 20 23 23 22 19
# }