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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] 0.001 16    2     >=64  0.125 1     0.002 0.5   0.001 >=64  8     0.125
#> [13] 2     >=64  >=64  0.125 0.005 8     0.125 >=64  0.025 4     0.01  >=64 
#> [25] 0.01 
random_disk(25)
#> Class 'disk'
#>  [1] 31 20 47 41 23 31 34 40 35  9 42 37 46 38 31 41 27 33 49 27 31 21 35  7 48
random_rsi(25)
#> Class 'rsi'
#>  [1] I R I S I S S R R S S I S I R I S S I I S S I 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] 0.0625 0.01   8      0.01   >=64   8      16     0.125  0.25   >=64  
#> [11] 32     0.002  0.005  0.002  >=64   0.5    2      8      >=64   0.001 
#> [21] 0.01   4      0.005  2      0.005 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 4     8     2     <=0.5 2     <=0.5 2     16    2     4     <=0.5 2    
#> [13] 2     1     8     8     16    1     <=0.5 1     16    16    <=0.5 8    
#> [25] 2    
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 2      0.25   0.125  1      4      >=8    0.25   2      2      4     
#> [11] 1      4      0.125  0.0625 0.0625 1      1      1      1      2     
#> [21] 0.5    2      0.125  0.125  >=8   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 45 44 33 12 44 48 13 43 34 26 12 10 37 46 48 45 12 44 15 35 31 47 30 33 41
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 16 11 11 12 11 14 13 11 11 16 14 11 14 16 17 11 17 14 14 14 14 13 11 12 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 21 21 19 19 24 22 16 17 21 24 23 17 21 27 18 19 17 16 27 16 18 27 23 15 25
# }