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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] 1      0.002  64     0.002  0.002  0.025  32     256    4      0.005 
#> [11] 0.005  0.125  16     0.01   8      16     0.001  0.001  4      0.0625
#> [21] 16     0.01   0.25   1      1     
random_disk(25)
#> Class 'disk'
#>  [1] 46 14  7 43 47 45 46 44 10 23 43 50 26 36  9 41  8 11 30  7 30 40 44 29 46
random_rsi(25)
#> Class 'rsi'
#>  [1] S R S I S S I I I I R R I R R I S I S I I I S 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] 0.002   32      <=0.001 0.0625  4       0.01    4       0.125   0.5    
#> [10] 0.005   0.005   64      64      32      2       64      0.0625  1      
#> [19] 1       0.025   0.002   0.125   16      32      0.002  
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 16     8      16     1      1      16     <=0.25 4      8      <=0.25
#> [11] 1      0.5    16     4      8      0.5    <=0.25 8      2      8     
#> [21] 0.5    2      4      0.5    8     
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] <=0.0625 0.5      8        4        0.125    <=0.0625 4        8       
#>  [9] 0.5      4        8        0.125    0.125    4        <=0.0625 8       
#> [17] <=0.0625 1        8        <=0.0625 8        2        8        0.125   
#> [25] 8       

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 14 19 49 39 22 34 20  9 32 43 45  8 47 37 20 49 49 37 48 19 21 44 44 28 43
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 17 15 13 15 14 14 11 12 15 16 11 16 11 13 16 12 17 13 16 11 12 11 11 13 11
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 26 23 24 15 26 15 22 18 15 16 16 23 19 24 20 17 25 16 27 21 16 23 18 19 20
# }