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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] 0.0625 128    2      4      16     2      4      16     1      0.25  
#> [11] 8      0.01   0.002  16     8      32     128    0.5    4      128   
#> [21] >=256  >=256  2      0.005  0.001 
random_disk(25)
#> Class 'disk'
#>  [1] 22 40 45 27 37 43 39 32 34 49 43 14 41 11 29 13 27  8 16 45  7 11 23 39 50
random_rsi(25)
#> Class 'rsi'
#>  [1] I S R S S I R R I R R R R R S S R S I I S I R S R

# \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] 16     0.01   0.025  16     0.0625 >=64   8      16     0.001  0.001 
#> [11] 1      4      0.025  0.125  0.005  >=64   0.005  0.25   >=64   4     
#> [21] 16     0.01   0.001  0.001  0.125 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 4    4    2    0.5  4    16   2    4    0.5  >=32 0.5  8    >=32 4    >=32
#> [16] 16   1    0.5  0.5  2    16   8    16   4    4   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 4        <=0.0625 <=0.0625 <=0.0625 >=16     4        2        0.5     
#>  [9] 0.125    2        2        4        0.125    <=0.0625 0.125    0.5     
#> [17] 0.5      8        1        1        0.25     0.125    0.5      4       
#> [25] <=0.0625

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 20 11 47 15 29 47 48 15 19 13 21 46 38 48 14 39 49 34 41 39 49 42 10 44 44
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 16 11 12 12 14 14 15 15 13 17 14 17 16 12 12 15 13 13 13 17 17 14 17 14 17
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 23 26 20 22 25 18 23 18 15 17 22 21 18 25 21 22 21 17 26 15 15 20 19 20 23
# }