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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] 8       64      1       128     0.25    <=0.001 0.25    0.01    0.025  
#> [10] 128     <=0.001 128     >=256   2       0.025   8       >=256   0.002  
#> [19] 1       0.5     0.25    2       <=0.001 1       2      
random_disk(25)
#> Class 'disk'
#>  [1]  7 18 38 42 43 47 45 10 45 24 17 15 24 45 26 23 44 50 45 50 19 28 25 47 11
random_rsi(25)
#> Class 'rsi'
#>  [1] R S R I I R I R R R I R I I S I I S I R I R R I 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  0.001  2      0.5    8      0.01   0.005  32     256    4     
#> [11] 0.025  0.025  0.025  0.002  0.25   4      1      0.0625 0.025  0.0625
#> [21] 2      8      0.002  0.5    16    
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] >=64  32    1     <=0.5 16    1     16    2     1     1     32    2    
#> [13] <=0.5 2     32    2     8     4     16    32    2     1     4     1    
#> [25] 8    
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.125 >=4   0.5   1     1     0.5   1     0.125 0.125 0.25  0.125 1    
#> [13] 0.25  0.125 0.5   0.5   0.125 >=4   >=4   2     >=4   0.5   2     1    
#> [25] 2    

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 42 28 19 47 45 39 48 47 43 30 43 37 43 34 16 45 36 22 26 25 11 28 17 11 41
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 13 16 12 16 14 12 15 14 12 11 13 16 12 14 16 12 13 12 17 16 11 14 12 13 15
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 25 18 19 19 27 25 18 24 27 23 18 17 16 27 26 15 25 26 24 26 15 17 26 20 16
# }